#data security examples

[vague-humanoid]

At the California Institute of the Arts, it all started with a videoconference between the registrar’s office and a nonprofit.

One of the nonprofit’s representatives had enabled an AI note-taking tool from Read AI. At the end of the meeting, it emailed a summary to all attendees, said Allan Chen, the institute’s chief technology officer. They could have a copy of the notes, if they wanted — they just needed to create their own account.

Next thing Chen knew, Read AI’s bot had popped up inabout a dozen of his meetings over a one-week span. It was in one-on-one check-ins. Project meetings. “Everything.”

The spread “was very aggressive,” recalled Chen, who also serves as vice president for institute technology. And it “took us by surprise.”

The scenariounderscores a growing challenge for colleges: Tech adoption and experimentation among students, faculty, and staff — especially as it pertains to AI — are outpacing institutions’ governance of these technologies and may even violate their data-privacy and security policies.

That has been the case with note-taking tools from companies including Read AI, Otter.ai, and Fireflies.ai.They can integrate with platforms like Zoom, Google Meet, and Microsoft Teamsto provide live transcriptions, meeting summaries, audio and video recordings, and other services.

Higher-ed interest in these products isn’t surprising.For those bogged down with virtual rendezvouses, a tool that can ingest long, winding conversations and spit outkey takeaways and action items is alluring. These services can also aid people with disabilities, including those who are deaf.

But the tools can quickly propagate unchecked across a university. They can auto-join any virtual meetings on a user’s calendar — even if that person is not in attendance. And that’s a concern, administrators say, if it means third-party productsthat an institution hasn’t reviewedmay be capturing and analyzing personal information, proprietary material, or confidential communications.

“What keeps me up at night is the ability for individual users to do things that are very powerful, but they don’t realize what they’re doing,” Chen said. “You may not realize you’re opening a can of worms.“

The Chronicle documented both individual and universitywide instances of this trend. At Tidewater Community College, in Virginia, Heather Brown, an instructional designer, unwittingly gave Otter.ai’s tool access to her calendar, and it joined a Faculty Senate meeting she didn’t end up attending. “One of our [associate vice presidents] reached out to inform me,” she wrote in a message. “I was mortified!”

[welcometoqueer]

I haven’t really seen any of the more recent U.S. election news hitting tumblr yet so here’s some updates (now edited with sources added):

There’s evidence of Trump cheating and interfering with the election.

Possible Russian interference.

Mail-in ballots are not being counted or “recognized” in multiple (notably swing) states.

30+ bomb threats were called in and shut down polling stations on Election Day.

20+ million votes are still unaccounted for, and that’s just to have the same voter turnout as 2020.

There was record voter turnout and new/first-time voter registration this year. We definitely should be well over the turnout in 2020.

U.S. citizens are using this site to demand, not only a recount, but a complete investigation into election fraud and interference for the reasons stated above:

Here is what I submitted as an example:

An investigation for election interference and fraud is required. We desperately need a recount or even a revote. The American people deserve the right to a free and fair election. There has been evidence unveiled of Trump cheating and committing election fraud which is illegal. There is some evidence of possible Russian interference. At least 30+ bomb threats were called in to polling places. Multiple, notably swing states, have ballots unaccounted for and voting machines not registering votes. Ballots and ballot boxes were tampered with and burned. Over 20 million votes that we know of are unaccounted for. With record turnout and new voter registration this year, there should be no possibility that there are less votes than even in the 2020 election.

Sources (working on finding more links but if anyone wants to add info, it’s appreciated):

FBI addressing Russian interference and bomb threats:

Emails released by Rachael Bellis (private account, can’t share original tweet) confirming Trump committing election fraud:

Pennsylvania's Centre County officials say they are working with their ballot scanner vendor to figure out why the county's mail-in ballot data is "not being recognized when uploaded to the elections software:”

Wisconsin recount:

[ID:

Multiple screenshots and images.

The first is a screenshot with a link and information for contacting the White House directly regarding election fraud. The instructions include choosing to leave a comment to President Joe Biden directly and to select election security as the reason.

The screenshot then instructs people to include any or all of the following information in a paragraph as a comment to the president:

32 fake bomb threats were called into Democratic leaning poll places, rendering polling places closed for at least an hour.

A lot of people reporting their ballots were not counted for various reasons.

This all occurred in swing states.

This is too coincidental that these things happen and swing in his favor after months of hinting at foul play.

Directly state that an investigation for tampering, interference, fraud is required, not just a recount.

The second image is from the FBI Twitter account that reads:

The FBI is aware of bomb threats to polling locations in several states, many of which appear to originate from Russian email domains. None of the threats have been determined to be credible thus far. https://t.co/j3YfajVK1m — FBI (@FBI) November 5, 2024

The next four Gmail screenshots of an email sent to Rachael Bellis from Chris T. Spackman that read together as follows:

Dear BELLIS, RACHAEL E., The Dauphin County Board of Elections received a challenge to your absentee ballot you applied for in the November 5, 2024 General Election. The challenge argues that a provision of the Pennsylvania Election Code takes precedence over the federal Uniformed and Overseas Citizens Absentee Voting Act (UOCAVA), which requires states and counties to permit U.S. citizens who move overseas to vote by absentee ballot for federal offices based on their last U.S. residential address.

The full text of the challenge that was filed appears below this email.

You may respond to the challenge in any of the following ways:

1. Call the Bureau of Registration and Election at (717) 780-6360;

2. Email a statement to the Bureau at Election election@dauphincounty.gov. Any statement you submit regarding the period during which you lived in Dauphin County, any family or connections that you still have here, and why you are now residing abroad would be read into the record.

3. Appear in person at a Board of Elections hearing scheduled for Friday, November 8 at a time to be determined in the Commissioners Public Hearing Room, 4th floor of Dauphin County Administration Building, 2 S 20d St, Harrisburg, PA 17111. The meeting is also likely to be livestreamed on Facebook on the Dauphin County channel.

Sincerely,

Christopher T Spackman

TEXT OF CHALLENGE BEGINS

Dear Dauphin County Board of Elections,

I am submitting this challenge to an absentee ballot application pursuant to 25 Pa. Stat.

3146.8(f).

25 Pa. Stat. 3146.8(f) Any person challenging an application for an absentee ballot, an absentee ballot, an application for a mail-in ballot or a mail-in ballot for any of the reasons provided in this act shall deposit the sum of ten dollars ($10.00) in cash with the county board, which sum shall only be refunded if the challenge is sustained or if the challenge is withdrawn within five (5) days after the primary or election. If the challenge is dismissed by any lawful order then the deposit shall be forfeited. The county board shall deposit all deposit money in the general fund of the…

The rest of the forwarded email is cut off.

The last image is a screenshot of the official statement from the Centre County, Pennsylvania Board of Commissioners released on November 6, 2024 that states:

Centre County Working with Ballot Scanner Vendor to Export Election Results.

(Bellefonte, PA) -Centre County Elections Office is working continuously to provide mail-in ballot data in order to post unofficial results.

To this point, all ballots have been scanned, including all mail-in ballots.

Centre County's Election team and IT team have identified that the data are successfully being exported from the mail-in ballot scanners, but that the data is not being recognized when uploaded to the elections software.

Centre County's Administrator, John Franek, Jr. stated, "We have not stopped working, and we will continue to work until unofficial results are posted and reported to the Pennsylvania Department of State."

As a next step, Centre County has begun working with the equipment vendor to adjust configurations to make the two systems-the mail-in ballot scanner and the elections software where data are uploaded -compatible with one another.

We will provide updates as we make progress.

/end ID]

[bloggerkey]

Google Forms क्या है और इसका कैसे प्रयोग करे [Step by Step]

Google Forms एक उपयोगी और आसान टूल है जो गूगल द्वारा प्रदान किया गया है, जिससे हम ऑनलाइन सर्वे, क्विज़, फीडबैक, रजिस्ट्रेशन फॉर्म्स आदि बना सकते हैं। इस टूल की मदद से हम आसानी से किसी भी प्रकार का डेटा इकट्ठा कर सकते हैं और उसे विश्लेषित (analyze) कर सकते हैं। Google Forms का सबसे बड़ा फायदा यह है कि यह मुफ़्त और पूरी तरह से कस्टमाइज़ेबल है, जिससे छोटे-बड़े सभी प्रकार के बिजनेस और व्यक्तिगत…

[yeoldenews]

A Guide to Historically Accurate Regency-Era Names

I recently received a message from a historical romance writer asking if I knew any good resources for finding historically accurate Regency-era names for their characters.

Not knowing any off the top of my head, I dug around online a bit and found there really isn’t much out there. The vast majority of search results were Buzzfeed-style listicles which range from accurate-adjacent to really, really, really bad.

I did find a few blog posts with fairly decent name lists, but noticed that even these have very little indication as to each name’s relative popularity as those statistical breakdowns really don't exist.

I began writing up a response with this information, but then I (being a research addict who was currently snowed in after a blizzard) thought hey - if there aren’t any good resources out there why not make one myself?

As I lacked any compiled data to work from, I had to do my own data wrangling on this project. Due to this fact, I limited the scope to what I thought would be the most useful for writers who focus on this era, namely - people of a marriageable age living in the wealthiest areas of London.

So with this in mind - I went through period records and compiled the names of 25,000 couples who were married in the City of Westminster (which includes Mayfair, St. James and Hyde Park) between 1804 to 1821.

So let’s see what all that data tells us…

To begin - I think it’s hard for us in the modern world with our wide and varied abundance of first names to conceive of just how POPULAR popular names of the past were.

If you were to take a modern sample of 25-year-old (born in 1998) American women, the most common name would be Emily with 1.35% of the total population. If you were to add the next four most popular names (Hannah, Samantha, Sarah and Ashley) these top five names would bring you to 5.5% of the total population. (source: Social Security Administration)

If you were to do the same survey in Regency London - the most common name would be Mary with 19.2% of the population. Add the next four most popular names (Elizabeth, Ann, Sarah and Jane) and with just 5 names you would have covered 62% of all women.

To hit 62% of the population in the modern survey it would take the top 400 names.

The top five Regency men’s names (John, William, Thomas, James and George) have nearly identical statistics as the women’s names.

I struggled for the better part of a week with how to present my findings, as a big list in alphabetical order really fails to get across the popularity factor and also isn’t the most tumblr-compatible format. And then my YouTube homepage recommended a random video of someone ranking all the books they’d read last year - and so I present…

The Regency Name Popularity Tier List

The Tiers

S+ - 10% of the population or greater. There is no modern equivalent to this level of popularity. 52% of the population had one of these 7 names.

S - 2-10%. There is still no modern equivalent to this level of popularity. Names in this percentage range in the past have included Mary and William in the 1880s and Jennifer in the late 1970s (topped out at 4%).

A - 1-2%. The top five modern names usually fall in this range. Kids with these names would probably include their last initial in class to avoid confusion. (1998 examples: Emily, Sarah, Ashley, Michael, Christopher, Brandon.)

B - .3-1%. Very common names. Would fall in the top 50 modern names. You would most likely know at least 1 person with these names. (1998 examples: Jessica, Megan, Allison, Justin, Ryan, Eric)

C - .17-.3%. Common names. Would fall in the modern top 100. You would probably know someone with these names, or at least know of them. (1998 examples: Chloe, Grace, Vanessa, Sean, Spencer, Seth)

D - .06-.17%. Less common names. In the modern top 250. You may not personally know someone with these names, but you’re aware of them. (1998 examples: Faith, Cassidy, Summer, Griffin, Dustin, Colby)

E - .02-.06%. Uncommon names. You’re aware these are names, but they are not common. Unusual enough they may be remarked upon. (1998 examples: Calista, Skye, Precious, Fabian, Justice, Lorenzo)

F - .01-.02%. Rare names. You may have heard of these names, but you probably don’t know anyone with one. Extremely unusual, and would likely be remarked upon. (1998 examples: Emerald, Lourdes, Serenity, Dario, Tavian, Adonis)

G - Very rare names. There are only a handful of people with these names in the entire country. You’ve never met anyone with this name.

H - Virtually non-existent. Names that theoretically could have existed in the Regency period (their original source pre-dates the early 19th century) but I found fewer than five (and often no) period examples of them being used in Regency England. (Example names taken from romance novels and online Regency name lists.)

Just to once again reinforce how POPULAR popular names were before we get to the tier lists - statistically, in a ballroom of 100 people in Regency London: 80 would have names from tiers S+/S. An additional 15 people would have names from tiers A/B and C. 4 of the remaining 5 would have names from D/E. Only one would have a name from below tier E.

Women's Names

S+ Mary, Elizabeth, Ann, Sarah      

S - Jane, Mary Ann+, Hannah, Susannah, Margaret, Catherine, Martha, Charlotte, Maria

A - Frances, Harriet, Sophia, Eleanor, Rebecca

B - Alice, Amelia, Bridget~, Caroline, Eliza, Esther, Isabella, Louisa, Lucy, Lydia, Phoebe, Rachel, Susan

C - Ellen, Fanny*, Grace, Henrietta, Hester, Jemima, Matilda, Priscilla

D - Abigail, Agnes, Amy, Augusta, Barbara, Betsy*, Betty*, Cecilia, Christiana, Clarissa, Deborah, Diana, Dinah, Dorothy, Emily, Emma, Georgiana, Helen, Janet^, Joanna, Johanna, Judith, Julia, Kezia, Kitty*, Letitia, Nancy*, Ruth, Winifred>

E - Arabella, Celia, Charity, Clara, Cordelia, Dorcas, Eve, Georgina, Honor, Honora, Jennet^, Jessie*^, Joan, Joyce, Juliana, Juliet, Lavinia, Leah, Margery, Marian, Marianne, Marie, Mercy, Miriam, Naomi, Patience, Penelope, Philadelphia, Phillis, Prudence, Rhoda, Rosanna, Rose, Rosetta, Rosina, Sabina, Selina, Sylvia, Theodosia, Theresa

F - (selected) Alicia, Bethia, Euphemia, Frederica, Helena, Leonora, Mariana, Millicent, Mirah, Olivia, Philippa, Rosamund, Sybella, Tabitha, Temperance, Theophila, Thomasin, Tryphena, Ursula, Virtue, Wilhelmina

G - (selected) Adelaide, Alethia, Angelina, Cassandra, Cherry, Constance, Delilah, Dorinda, Drusilla, Eva, Happy, Jessica, Josephine, Laura, Minerva, Octavia, Parthenia, Theodora, Violet, Zipporah

H - Alberta, Alexandra, Amber, Ashley, Calliope, Calpurnia, Chloe, Cressida, Cynthia, Daisy, Daphne, Elaine, Eloise, Estella, Lilian, Lilias, Francesca, Gabriella, Genevieve, Gwendoline, Hermione, Hyacinth, Inez, Iris, Kathleen, Madeline, Maude, Melody, Portia, Seabright, Seraphina, Sienna, Verity

Men's Names

S+ John, William, Thomas

S - James, George, Joseph, Richard, Robert, Charles, Henry, Edward, Samuel

A - Benjamin, (Mother’s/Grandmother’s maiden name used as first name)#

B - Alexander^, Andrew, Daniel, David>, Edmund, Francis, Frederick, Isaac, Matthew, Michael, Patrick~, Peter, Philip, Stephen, Timothy

C - Abraham, Anthony, Christopher, Hugh>, Jeremiah, Jonathan, Nathaniel, Walter

D - Adam, Arthur, Bartholomew, Cornelius, Dennis, Evan>, Jacob, Job, Josiah, Joshua, Lawrence, Lewis, Luke, Mark, Martin, Moses, Nicholas, Owen>, Paul, Ralph, Simon

E - Aaron, Alfred, Allen, Ambrose, Amos, Archibald, Augustin, Augustus, Barnard, Barney, Bernard, Bryan, Caleb, Christian, Clement, Colin, Duncan^, Ebenezer, Edwin, Emanuel, Felix, Gabriel, Gerard, Gilbert, Giles, Griffith, Harry*, Herbert, Humphrey, Israel, Jabez, Jesse, Joel, Jonas, Lancelot, Matthias, Maurice, Miles, Oliver, Rees, Reuben, Roger, Rowland, Solomon, Theophilus, Valentine, Zachariah

F - (selected) Abel, Barnabus, Benedict, Connor, Elijah, Ernest, Gideon, Godfrey, Gregory, Hector, Horace, Horatio, Isaiah, Jasper, Levi, Marmaduke, Noah, Percival, Shadrach, Vincent

G - (selected) Albion, Darius, Christmas, Cleophas, Enoch, Ethelbert, Gavin, Griffin, Hercules, Hugo, Innocent, Justin, Maximilian, Methuselah, Peregrine, Phineas, Roland, Sebastian, Sylvester, Theodore, Titus, Zephaniah

H - Albinus, Americus, Cassian, Dominic, Eric, Milo, Rollo, Trevor, Tristan, Waldo, Xavier

# Men were sometimes given a family surname (most often their mother's or grandmother's maiden name) as their first name - the most famous example of this being Fitzwilliam Darcy. If you were to combine all surname-based first names as a single 'name' this is where the practice would rank.

*Rank as a given name, not a nickname

+If you count Mary Ann as a separate name from Mary - Mary would remain in S+ even without the Mary Anns included

~Primarily used by people of Irish descent

^Primarily used by people of Scottish descent

>Primarily used by people of Welsh descent

I was going to continue on and write about why Regency-era first names were so uniform, discuss historically accurate surnames, nicknames, and include a little guide to finding 'unique' names that are still historically accurate - but this post is already very, very long, so that will have to wait for a later date.

If anyone has any questions/comments/clarifications in the meantime feel free to message me.

Methodology notes: All data is from marriage records covering six parishes in the City of Westminster between 1804 and 1821. The total sample size was 50,950 individuals.

I chose marriage records rather than births/baptisms as I wanted to focus on individuals who were adults during the Regency era rather than newborns. I think many people make the mistake when researching historical names by using baby name data for the year their story takes place rather than 20 to 30 years prior, and I wanted to avoid that. If you are writing a story that takes place in 1930 you don’t want to research the top names for 1930, you need to be looking at 1910 or earlier if you are naming adult characters.

I combined (for my own sanity) names that are pronounced identically but have minor spelling differences: i.e. the data for Catherine also includes Catharines and Katherines, Susannah includes Susannas, Phoebe includes Phebes, etc.

The compound 'Mother's/Grandmother's maiden name used as first name' designation is an educated guesstimate based on what I recognized as known surnames, as I do not hate myself enough to go through 25,000+ individuals and confirm their mother's maiden names. So if the tally includes any individuals who just happened to be named Fitzroy/Hastings/Townsend/etc. because their parents liked the sound of it and not due to any familial relations - my bad.

I did a small comparative survey of 5,000 individuals in several rural communities in Rutland and Staffordshire (chosen because they had the cleanest data I could find and I was lazy) to see if there were any significant differences between urban and rural naming practices and found the results to be very similar. The most noticeable difference I observed was that the S+ tier names were even MORE popular in rural areas than in London. In Rutland between 1810 and 1820 Elizabeths comprised 21.4% of all brides vs. 15.3% in the London survey. All other S+ names also saw increases of between 1% and 6%. I also observed that the rural communities I surveyed saw a small, but noticeable and fairly consistent, increase in the use of names with Biblical origins.

Sources of the records I used for my survey: 

Ancestry.com. England & Wales Marriages, 1538-1988 [database on-line].

Ancestry.com. Westminster, London, England, Church of England Marriages and Banns, 1754-1935 [database on-line].

[greenthestral]

The Digital Green Economy: Paving the Way for a Sustainable Future

In recent years, the global community has witnessed a growing sense of urgency in addressing the pressing challenges posed by climate change and environmental degradation. Governments, organizations, and individuals have come to recognize the need for sustainable practices and innovative solutions to mitigate the impact of these issues. As a result, the concept of a green economy has gained significant traction and has become a focal point for discussions on sustainability and economic growth.

A green economy refers to an economic system that prioritizes environmental sustainability, resource efficiency, and social well-being. It aims to decouple economic growth from resource consumption and environmental degradation, instead promoting sustainable development that meets the needs of the present without compromising the ability of future generations to meet their own needs. The principles of a green economy include transitioning to renewable energy sources, promoting sustainable production and consumption patterns, and investing in green technologies and infrastructure.

However, as we enter further into the digital age, another powerful force has emerged—the digital green economy. This innovative approach combines the principles of sustainability with the transformative power of technology, paving the way for even more profound changes and opportunities.

The digital green economy harnesses the potential of digital technologies to drive sustainable development. It leverages advancements in areas such as artificial intelligence, the Internet of Things, data analytics, and cloud computing to create intelligent systems that optimize resource use, enhance energy efficiency, and reduce environmental impact.

One of the key advantages of the digital green economy is its ability to collect, analyze, and interpret vast amounts of data in real-time. The Internet of Things (IoT) enables the connection of various devices and sensors, allowing for the monitoring and control of energy consumption, waste management, and water usage. This level of connectivity and data-driven insights enable businesses and individuals to identify inefficiencies and make informed decisions that contribute to sustainability.

Artificial intelligence and machine learning algorithms are also pivotal in the digital green economy. These technologies can analyze complex datasets, identify patterns, and predict trends, allowing businesses to optimize their operations, reduce waste, and develop innovative solutions. For example, AI algorithms can optimize transportation routes, reducing fuel consumption and emissions, or predict energy demand, enabling renewable energy systems to adjust accordingly.

The digital green economy offers numerous advantages that contribute to shaping a sustainable future. Firstly, it helps reduce environmental impact. By leveraging digital technologies, businesses can lower their carbon footprint and minimize their use of natural resources. Smart grids, for instance, optimize energy distribution, reducing energy losses and dependence on fossil fuels. Additionally, remote working and teleconferencing technologies decrease the need for business travel, thus reducing transportation-related emissions.

Secondly, the digital green economy promotes resource conservation and efficiency. By using data-driven insights, companies can identify areas of improvement, enhance energy and water efficiency, and minimize material waste. This fosters a circular economy approach, where resources are utilized and reused in a sustainable manner, reducing the strain on the environment.

Moreover, the digital green economy presents significant economic opportunities. As businesses embrace sustainable practices and develop green technologies, new markets and industries emerge. The transition to renewable energy sources, for example, creates jobs in the renewable energy sector, clean technology development, and green infrastructure. This not only drives economic growth but also ensures that sustainability becomes a cornerstone of future prosperity.

Additionally, the digital green economy enhances resilience and adaptability in the face of climate change and other environmental challenges. By diversifying energy sources and embracing decentralized systems, communities can become more self-sufficient and less vulnerable to disruptions. The integration of renewable energy sources and microgrids, for example, can provide reliable power even during natural disasters, ensuring the continuous functioning of critical infrastructure.

Numerous digital green economy initiatives are already underway worldwide, demonstrating the potential of this transformative approach. Smart cities, for instance, leverage digital technologies to enhance urban sustainability. These initiatives integrate IoT devices, data analytics, and AI to optimize resource usage, improve transportation systems, and enhance citizen services. Barcelona's implementation of a smart irrigation system, adjusting watering schedules based on weather data to reduce water consumption in public parks, exemplifies the impact of such initiatives.

Furthermore, the integration of renewable energy sources into the existing energy grid is another significant aspect of the digital green economy. Through the use of smart grids and advanced energy management systems, renewable energy generation can be optimized and balanced with demand. Germany's Energiewende is a prime example, where digital technologies enable the efficient integration of wind and solar power into the national energy mix.

Precision agriculture is yet another domain where digital technologies are revolutionizing the sector and promoting sustainable practices. Precision agriculture utilizes sensors, drones, and AI algorithms to monitor crop health, optimize irrigation, and reduce the use of pesticides and fertilizers. This not only minimizes environmental impact but also enhances crop yields and farmer profitability.

However, as we delve into the potential of the digital green economy, it is essential to address certain challenges to ensure its widespread adoption and inclusivity. One of the primary challenges is the digital divide. Access to digital technologies and connectivity remains uneven globally, with underserved populations lacking the necessary infrastructure and skills. Bridging this divide is crucial to ensure that all communities can benefit from the digital green economy. Governments, businesses, and organizations must work together to improve internet access and provide training and support to ensure equal participation.

Another challenge is data privacy and security. The digital green economy relies on vast amounts of data to drive sustainable practices. It is imperative to establish robust cybersecurity measures and transparent data governance frameworks to protect sensitive information and maintain public trust.

Furthermore, the rapid proliferation of digital technologies also leads to an increase in electronic waste (e-waste). Proper e-waste management practices must be implemented to minimize environmental harm. This includes establishing recycling programs, promoting responsible disposal methods, and designing products that are durable and repairable.

The digital green economy represents a promising pathway towards a sustainable future. By leveraging digital technologies and integrating sustainable practices, we can reduce environmental impact, enhance resource efficiency, foster economic growth, and enhance resilience. The digital green economy offers numerous advantages, including reduced environmental impact, resource conservation, economic growth, and enhanced resilience. However, it is crucial to address challenges such as the digital divide, data privacy concerns, and e-waste management to ensure inclusivity and long-term success. By embracing the digital green economy, we can pave the way for a more sustainable and resilient world.

Defining the Digital Green Economy

The digital green economy refers to the integration of digital technologies and sustainable practices to promote environmentally friendly and resource-efficient solutions. It encompasses a wide range of sectors, including renewable energy, smart cities, circular economy, sustainable agriculture, and green transportation. The key objective is to leverage digital advancements to minimize environmental impact, reduce carbon emissions, and enhance resource conservation.

The Role of Digital Technologies

Digital technologies play a crucial role in driving the transition to a green economy. They enable the collection, analysis, and interpretation of vast amounts of data, facilitating informed decision-making and resource optimization. For instance, the Internet of Things (IoT) allows for real-time monitoring and control of energy consumption, waste management, and water usage, enabling businesses and individuals to identify and rectify inefficiencies.

Moreover, artificial intelligence (AI) and machine learning algorithms can analyze complex datasets to identify patterns and predict trends. This enables businesses to optimize their operations, reduce waste, and develop innovative solutions. For example, AI-powered algorithms can optimize transportation routes, reducing fuel consumption and emissions, or predict energy demand, enabling renewable energy systems to adjust accordingly.

Advantages of the Digital Green Economy

The digital green economy offers several advantages that contribute to a sustainable future:

Environmental Impact Reduction: By harnessing digital technologies, businesses can reduce their carbon footprint and environmental impact. For instance, smart grids can optimize energy distribution, reducing energy losses and reliance on fossil fuels. Additionally, remote working and teleconferencing technologies can decrease the need for business travel, lowering transportation-related emissions.

Resource Conservation: The digital green economy promotes resource efficiency by optimizing processes and reducing waste generation. Through data-driven insights, companies can identify areas of improvement, enhance energy and water efficiency, and minimize material waste. This fosters a circular economy approach, where resources are utilized and reused in a sustainable manner.

Economic Growth and Job Creation: The digital green economy presents significant opportunities for economic growth and job creation. As businesses embrace sustainable practices and develop innovative green technologies, new markets and industries emerge. This leads to the creation of jobs in sectors such as renewable energy, clean technology, and green infrastructure development.

Resilience and Adaptability: The digital green economy enhances resilience and adaptability in the face of climate change and other environmental challenges. By diversifying energy sources and embracing decentralized systems, communities can become more self-sufficient and less vulnerable to disruptions. For example, the integration of renewable energy sources and microgrids can provide reliable power even during natural disasters.

Examples of Digital Green Economy Initiatives

Numerous digital green economy initiatives are already underway worldwide, showcasing the potential of this transformative approach:

Smart Cities: Cities around the globe are leveraging digital technologies to enhance urban sustainability. Smart city initiatives integrate IoT devices, data analytics, and AI to optimize resource usage, improve transportation systems, and enhance citizen services. For example, Barcelona has implemented a smart irrigation system that adjusts watering schedules based on weather data, reducing water consumption in public parks.

Renewable Energy Integration: The digital green economy facilitates the integration of renewable energy sources into the existing energy grid. Through smart grids and advanced energy management systems, renewable energy generation can be optimized and balanced with demand. Germany's Energiewende is a prime example, where digital technologies enable the efficient integration of wind and solar power into the national energy mix.

Precision Agriculture: Digital technologies are revolutionizing the agricultural sector by promoting sustainable and resource-efficient practices. Precision agriculture utilizes sensors, drones, and AI algorithms to monitor crop health, optimize irrigation, and reduce the use of pesticides and fertilizers. This not only minimizes environmental impact but also enhances crop yields and farmer profitability.

Overcoming Challenges and Ensuring Inclusivity

While the digital green economy holds immense potential, it is essential to address certain challenges to ensure its widespread adoption and inclusivity. These challenges include:

Digital Divide: Access to digital technologies and connectivity remains uneven globally. Bridging the digital divide is crucial to ensure that all communities can benefit from the digital green economy. Governments, businesses, and organizations must work together to improve internet access and provide training and support for underserved populations.

Data Privacy and Security: As the digital green economy relies on vast amounts of data, ensuring data privacy and security is paramount. Robust cybersecurity measures and transparent data governance frameworks must be in place to protect sensitive information and maintain public trust.

E-Waste Management: The rapid proliferation of digital technologies also leads to an increase in electronic waste. Proper e-waste management practices must be implemented to minimize environmental harm. This includes recycling programs, responsible disposal methods, and product design that promotes durability and repairability.

Conclusion

The digital green economy represents a promising pathway towards a sustainable future. By leveraging digital technologies and sustainable practices, we can reduce environmental impact, enhance resource efficiency, and foster economic growth. From smart cities to renewable energy integration and precision agriculture, numerous initiatives exemplify the transformative power of the digital green economy. However, it is crucial to overcome challenges such as the digital divide, data privacy concerns, and e-waste management to ensure inclusivity and long-term success. By embracing the digital green economy, we can pave the way for a more sustainable and resilient world.

[mostlysignssomeportents]

Bossware is unfair (in the legal sense, too)

You can get into a lot of trouble by assuming that rich people know what they're doing. For example, might assume that ad-tech works – bypassing peoples' critical faculties, reaching inside their minds and brainwashing them with Big Data insights, because if that's not what's happening, then why would rich people pour billions into those ads?

https://pluralistic.net/2020/12/06/surveillance-tulip-bulbs/#adtech-bubble

You might assume that private equity looters make their investors rich, because otherwise, why would rich people hand over trillions for them to play with?

https://thenextrecession.wordpress.com/2024/11/19/private-equity-vampire-capital/

The truth is, rich people are suckers like the rest of us. If anything, succeeding once or twice makes you an even bigger mark, with a sense of your own infallibility that inflates to fill the bubble your yes-men seal you inside of.

Rich people fall for scams just like you and me. Anyone can be a mark. I was:

https://pluralistic.net/2024/02/05/cyber-dunning-kruger/#swiss-cheese-security

But though rich people can fall for scams the same way you and I do, the way those scams play out is very different when the marks are wealthy. As Keynes had it, "The market can remain irrational longer than you can remain solvent." When the marks are rich (or worse, super-rich), they can be played for much longer before they go bust, creating the appearance of solidity.

Noted Keynesian John Kenneth Galbraith had his own thoughts on this. Galbraith coined the term "bezzle" to describe "the magic interval when a confidence trickster knows he has the money he has appropriated but the victim does not yet understand that he has lost it." In that magic interval, everyone feels better off: the mark thinks he's up, and the con artist knows he's up.

Rich marks have looong bezzles. Empirically incorrect ideas grounded in the most outrageous superstition and junk science can take over whole sections of your life, simply because a rich person – or rich people – are convinced that they're good for you.

Take "scientific management." In the early 20th century, the con artist Frederick Taylor convinced rich industrialists that he could increase their workers' productivity through a kind of caliper-and-stopwatch driven choreographry:

https://pluralistic.net/2022/08/21/great-taylors-ghost/#solidarity-or-bust

Taylor and his army of labcoated sadists perched at the elbows of factory workers (whom Taylor referred to as "stupid," "mentally sluggish," and as "an ox") and scripted their motions to a fare-the-well, transforming their work into a kind of kabuki of obedience. They weren't more efficient, but they looked smart, like obedient robots, and this made their bosses happy. The bosses shelled out fortunes for Taylor's services, even though the workers who followed his prescriptions were less efficient and generated fewer profits. Bosses were so dazzled by the spectacle of a factory floor of crisply moving people interfacing with crisply working machines that they failed to understand that they were losing money on the whole business.

To the extent they noticed that their revenues were declining after implementing Taylorism, they assumed that this was because they needed more scientific management. Taylor had a sweet con: the worse his advice performed, the more reasons their were to pay him for more advice.

Taylorism is a perfect con to run on the wealthy and powerful. It feeds into their prejudice and mistrust of their workers, and into their misplaced confidence in their own ability to understand their workers' jobs better than their workers do. There's always a long dollar to be made playing the "scientific management" con.

Today, there's an app for that. "Bossware" is a class of technology that monitors and disciplines workers, and it was supercharged by the pandemic and the rise of work-from-home. Combine bossware with work-from-home and your boss gets to control your life even when in your own place – "work from home" becomes "live at work":

https://pluralistic.net/2021/02/24/gwb-rumsfeld-monsters/#bossware

Gig workers are at the white-hot center of bossware. Gig work promises "be your own boss," but bossware puts a Taylorist caliper wielder into your phone, monitoring and disciplining you as you drive your wn car around delivering parcels or picking up passengers.

In automation terms, a worker hitched to an app this way is a "reverse centaur." Automation theorists call a human augmented by a machine a "centaur" – a human head supported by a machine's tireless and strong body. A "reverse centaur" is a machine augmented by a human – like the Amazon delivery driver whose app goads them to make inhuman delivery quotas while punishing them for looking in the "wrong" direction or even singing along with the radio:

https://pluralistic.net/2024/08/02/despotism-on-demand/#virtual-whips

Bossware pre-dates the current AI bubble, but AI mania has supercharged it. AI pumpers insist that AI can do things it positively cannot do – rolling out an "autonomous robot" that turns out to be a guy in a robot suit, say – and rich people are groomed to buy the services of "AI-powered" bossware:

https://pluralistic.net/2024/01/29/pay-no-attention/#to-the-little-man-behind-the-curtain

For an AI scammer like Elon Musk or Sam Altman, the fact that an AI can't do your job is irrelevant. From a business perspective, the only thing that matters is whether a salesperson can convince your boss that an AI can do your job – whether or not that's true:

https://pluralistic.net/2024/07/25/accountability-sinks/#work-harder-not-smarter

The fact that AI can't do your job, but that your boss can be convinced to fire you and replace you with the AI that can't do your job, is the central fact of the 21st century labor market. AI has created a world of "algorithmic management" where humans are demoted to reverse centaurs, monitored and bossed about by an app.

The techbro's overwhelming conceit is that nothing is a crime, so long as you do it with an app. Just as fintech is designed to be a bank that's exempt from banking regulations, the gig economy is meant to be a workplace that's exempt from labor law. But this wheeze is transparent, and easily pierced by enforcers, so long as those enforcers want to do their jobs. One such enforcer is Alvaro Bedoya, an FTC commissioner with a keen interest in antitrust's relationship to labor protection.

Bedoya understands that antitrust has a checkered history when it comes to labor. As he's written, the history of antitrust is a series of incidents in which Congress revised the law to make it clear that forming a union was not the same thing as forming a cartel, only to be ignored by boss-friendly judges:

https://pluralistic.net/2023/04/14/aiming-at-dollars/#not-men

Bedoya is no mere historian. He's an FTC Commissioner, one of the most powerful regulators in the world, and he's profoundly interested in using that power to help workers, especially gig workers, whose misery starts with systemic, wide-scale misclassification as contractors:

https://pluralistic.net/2024/02/02/upward-redistribution/

In a new speech to NYU's Wagner School of Public Service, Bedoya argues that the FTC's existing authority allows it to crack down on algorithmic management – that is, algorithmic management is illegal, even if you break the law with an app:

https://www.ftc.gov/system/files/ftc_gov/pdf/bedoya-remarks-unfairness-in-workplace-surveillance-and-automated-management.pdf

Bedoya starts with a delightful analogy to The Hawtch-Hawtch, a mythical town from a Dr Seuss poem. The Hawtch-Hawtch economy is based on beekeeping, and the Hawtchers develop an overwhelming obsession with their bee's laziness, and determine to wring more work (and more honey) out of him. So they appoint a "bee-watcher." But the bee doesn't produce any more honey, which leads the Hawtchers to suspect their bee-watcher might be sleeping on the job, so they hire a bee-watcher-watcher. When that doesn't work, they hire a bee-watcher-watcher-watcher, and so on and on.

For gig workers, it's bee-watchers all the way down. Call center workers are subjected to "AI" video monitoring, and "AI" voice monitoring that purports to measure their empathy. Another AI times their calls. Two more AIs analyze the "sentiment" of the calls and the success of workers in meeting arbitrary metrics. On average, a call-center worker is subjected to five forms of bossware, which stand at their shoulders, marking them down and brooking no debate.

For example, when an experienced call center operator fielded a call from a customer with a flooded house who wanted to know why no one from her boss's repair plan system had come out to address the flooding, the operator was punished by the AI for failing to try to sell the customer a repair plan. There was no way for the operator to protest that the customer had a repair plan already, and had called to complain about it.

Workers report being sickened by this kind of surveillance, literally – stressed to the point of nausea and insomnia. Ironically, one of the most pervasive sources of automation-driven sickness are the "AI wellness" apps that bosses are sold by AI hucksters:

https://pluralistic.net/2024/03/15/wellness-taylorism/#sick-of-spying

The FTC has broad authority to block "unfair trade practices," and Bedoya builds the case that this is an unfair trade practice. Proving an unfair trade practice is a three-part test: a practice is unfair if it causes "substantial injury," can't be "reasonably avoided," and isn't outweighed by a "countervailing benefit." In his speech, Bedoya makes the case that algorithmic management satisfies all three steps and is thus illegal.

On the question of "substantial injury," Bedoya describes the workday of warehouse workers working for ecommerce sites. He describes one worker who is monitored by an AI that requires him to pick and drop an object off a moving belt every 10 seconds, for ten hours per day. The worker's performance is tracked by a leaderboard, and supervisors punish and scold workers who don't make quota, and the algorithm auto-fires if you fail to meet it.

Under those conditions, it was only a matter of time until the worker experienced injuries to two of his discs and was permanently disabled, with the company being found 100% responsible for this injury. OSHA found a "direct connection" between the algorithm and the injury. No wonder warehouses sport vending machines that sell painkillers rather than sodas. It's clear that algorithmic management leads to "substantial injury."

What about "reasonably avoidable?" Can workers avoid the harms of algorithmic management? Bedoya describes the experience of NYC rideshare drivers who attended a round-table with him. The drivers describe logging tens of thousands of successful rides for the apps they work for, on promise of "being their own boss." But then the apps start randomly suspending them, telling them they aren't eligible to book a ride for hours at a time, sending them across town to serve an underserved area and still suspending them. Drivers who stop for coffee or a pee are locked out of the apps for hours as punishment, and so drive 12-hour shifts without a single break, in hopes of pleasing the inscrutable, high-handed app.

All this, as drivers' pay is falling and their credit card debts are mounting. No one will explain to drivers how their pay is determined, though the legal scholar Veena Dubal's work on "algorithmic wage discrimination" reveals that rideshare apps temporarily increase the pay of drivers who refuse rides, only to lower it again once they're back behind the wheel:

https://pluralistic.net/2023/04/12/algorithmic-wage-discrimination/#fishers-of-men

This is like the pit boss who gives a losing gambler some freebies to lure them back to the table, over and over, until they're broke. No wonder they call this a "casino mechanic." There's only two major rideshare apps, and they both use the same high-handed tactics. For Bedoya, this satisfies the second test for an "unfair practice" – it can't be reasonably avoided. If you drive rideshare, you're trapped by the harmful conduct.

The final prong of the "unfair practice" test is whether the conduct has "countervailing value" that makes up for this harm.

To address this, Bedoya goes back to the call center, where operators' performance is assessed by "Speech Emotion Recognition" algorithms, a psuedoscientific hoax that purports to be able to determine your emotions from your voice. These SERs don't work – for example, they might interpret a customer's laughter as anger. But they fail differently for different kinds of workers: workers with accents – from the American south, or the Philippines – attract more disapprobation from the AI. Half of all call center workers are monitored by SERs, and a quarter of workers have SERs scoring them "constantly."

Bossware AIs also produce transcripts of these workers' calls, but workers with accents find them "riddled with errors." These are consequential errors, since their bosses assess their performance based on the transcripts, and yet another AI produces automated work scores based on them.

In other words, algorithmic management is a procession of bee-watchers, bee-watcher-watchers, and bee-watcher-watcher-watchers, stretching to infinity. It's junk science. It's not producing better call center workers. It's producing arbitrary punishments, often against the best workers in the call center.

There is no "countervailing benefit" to offset the unavoidable substantial injury of life under algorithmic management. In other words, algorithmic management fails all three prongs of the "unfair practice" test, and it's illegal.

What should we do about it? Bedoya builds the case for the FTC acting on workers' behalf under its "unfair practice" authority, but he also points out that the lack of worker privacy is at the root of this hellscape of algorithmic management.

He's right. The last major update Congress made to US privacy law was in 1988, when they banned video-store clerks from telling the newspapers which VHS cassettes you rented. The US is long overdue for a new privacy regime, and workers under algorithmic management are part of a broad coalition that's closer than ever to making that happen:

https://pluralistic.net/2023/12/06/privacy-first/#but-not-just-privacy

Workers should have the right to know which of their data is being collected, who it's being shared by, and how it's being used. We all should have that right. That's what the actors' strike was partly motivated by: actors who were being ordered to wear mocap suits to produce data that could be used to produce a digital double of them, "training their replacement," but the replacement was a deepfake.

With a Trump administration on the horizon, the future of the FTC is in doubt. But the coalition for a new privacy law includes many of Trumpland's most powerful blocs – like Jan 6 rioters whose location was swept up by Google and handed over to the FBI. A strong privacy law would protect their Fourth Amendment rights – but also the rights of BLM protesters who experienced this far more often, and with far worse consequences, than the insurrectionists.

The "we do it with an app, so it's not illegal" ruse is wearing thinner by the day. When you have a boss for an app, your real boss gets an accountability sink, a convenient scapegoat that can be blamed for your misery.

The fact that this makes you worse at your job, that it loses your boss money, is no guarantee that you will be spared. Rich people make great marks, and they can remain irrational longer than you can remain solvent. Markets won't solve this one – but worker power can.

Image: Cryteria (modified) https://commons.wikimedia.org/wiki/File:HAL9000.svg

CC BY 3.0 https://creativecommons.org/licenses/by/3.0/deed.en

[reasonsforhope]

"In a degraded and semi-arid farming area in India, simple science-driven changes to the landscape have colored the horizon, and a village’s fortunes, with green.

In the Latur district in the central western state of Maharashtra, 40 years of erratic rainfall, groundwater depletion, soil erosion, and crop failures have impoverished the local people.

In the village of Matephal, the International Crops Research Institute for the Semi-Arid Tropics (ICRISAT) launched a project in 2023 that aimed at addressing these challenges through integrated landscape management and climate-smart farming practices. [Note: Meaning they've achieved this much in just two years!]

Multiple forms of data collection allowed ICRISAT to target precise strategies for each challenge facing the 2,000 or so people in Matephal.

Key interventions focused on three critical areas: water conservation, land enhancement with crop diversification, and soil health improvement. Rainwater harvesting structures recharged groundwater around 1,200 acres, raising water tables by 12 feet and securing reliable irrigation. Farm ponds provided supplemental irrigation, while embanking across 320 acres reduced soil erosion.

Farmers diversified their crops, converting 120 or so acres of previously fallow land into productive farmland with legumes, millets, and vegetables. Horticulture-linked markets for fruits and flowers improved income stability.

Weather monitoring equipment was also installed that actively informed sustainable irrigation practices.

“It is a prime example of how data-driven approaches can address complex agricultural challenges, ensuring interventions are precise and impactful. Matephal village is a model for other semi-arid regions in India and beyond,” said Dr. Stanford Blade, Director General-Interim at ICRISAT.

Farmers actively participated in planning and decision-making, fostering long-term commitment.

“This ICRISAT project improved yields, diversified crops, and boosted incomes. It also spared women from walking over a kilometer for drinking water, now available in the village for people and animals,” said Mr. Govind Hinge of Matephal village.

Looking ahead, ICRISAT writes it wants to use Matephal as a case study to scale these methods across India’s vast and drier average. As Matephal’s fields flourish, the village is a testament to the power of collaboration and science in transforming lives and landscapes."

-Article via Good News Network, March 3, 2025. Video via International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), February 26, 2025

[luv4arinn]

Bayverse!Donnie headcanons bc his my bbg

Okay, lol, I really needed to let all of this out and just vomit all the ideas I’ve been hoarding about this man. I love him. I’ve adored him ever since the 2012 series, and that made me realize—I definitely have a thing for nerds. And glasses. Dear god.

I hope you guys like this!! Do you think I should do the same for the other brothers? Or maybe for the other characters? (I wouldn’t mind taking the risk and making headcanons like this for Rocksteady, hehe.)

Alright, bye!!

warnings: sfw & nsfw ( but not so explicit?) :p

- He’s a genius with confidence… until he isn’t.

Donnie is incredibly self-assured when it comes to his intellect and skills. He knows his worth and never doubts his ability to solve problems. Jumping out of a plane without a parachute? Easy. Hacking government security systems? A piece of cake. But confessing his feelings to you? That’s a whole different challenge.

This is where his anxious side kicks in. His brain, used to solving any equation, completely short-circuits when it comes to emotions. What if he misinterprets your signals? What if he ruins the friendship? What if you like someone else? Sure, he can design an exoskeleton in less than 24 hours, but love is a field where variables don’t always make sense.

If you think you can hide something from him, think again. Donnie notices everything. From the slight shift in your expression when you’re tired to the pattern of songs you repeat when you’re feeling down. (And no, he absolutely did not hack your Spotify, ahem—)

- That’s why, when you start falling for him, he already knows. In fact, he probably figured it out before you did.

He won’t tell you right away. Inside his head, there’s a storm of chaotic thoughts, organizing themselves into an ultra-detailed data table with every relevant piece of information. Give him a few days, and once his mind has fully processed everything, he’ll come back to you as a renewed Donnie—determined, confident, and ready to make you his.

- Donnie doesn’t just plan things; he breaks them down into a thousand strategies of action. His trash bin is living proof of the number of ideas he discards and reworks over and over.

Gifts? He’s not the type to grab something generic at the last minute. His gifts are so deeply personalized that they’ll make you feel like he knows you better than you know yourself.

Example: If you ever casually mentioned that you’d love to learn to play an instrument, he’ll build one for you—customized with enhancements. If you said you love the stars, he’ll create an interactive star map with the exact alignment of the sky on the day you were born.

Your birthdays, anniversaries, and any special dates are planned years in advance. It doesn’t matter if you’re not officially together yet—he already has ideas saved for when you are.

- Romance in his brain is an equation far too complex.

Donnie isn’t clumsy because he lacks intelligence; it’s because his brain moves too fast. His emotions and logic are in constant conflict, creating an ongoing battle between Confident Donnie and Nervous Donnie.

You’ll see him go from saying something with complete confidence to, “Uh, well… what I meant to say is… no, wait, forget it—” and then getting frustrated with himself because that definitely wasn’t what he had in mind.

But when he manages to organize his thoughts, he’s one of the most direct people you’ll ever meet. Once he crosses the mental line of “I’m doing this,” there’s no turning back.

- Gifts

He doesn’t believe in generic presents. Everything he gives you has a specific purpose. A bracelet that’s actually a disguised tracker (“For safety. Just for safety.”), or a stuffed animal that can record voice messages.

One day, you wake up and find a new app on your phone with your name on it. You open it, and it’s a virtual assistant designed specifically for you, complete with personalized reminders for the little things Donnie knows you always forget.

- Once he has you, you are his priority.

Once Donnie accepts his feelings and takes the step to be with you, he becomes the most devoted boyfriend.

He’s not excessively clingy or jealous like Raph, but his love is obvious in the time and effort he invests in you.

No matter how many projects he’s juggling, if you truly need his attention, he’ll give it to you without hesitation.

- Donnie needs physical contact, but his intellectual pride won’t let him admit it outright. Instead, he prefers to justify it with overly precise scientific explanations.

“Well, you see… my body temperature tends to drop faster than that of the average human, so it’s biologically beneficial for me to share contact with an external heat source.”

Translation: “Hug me. Now.”

If you confront him with something like, “Why don’t you just say you want cuddles?” he’ll turn bright red and start stammering, scrambling for excuses.

Don’t listen. Just climb onto him.

- Donnie can plan everything, but he cannot predict your spontaneous displays of affection.

If you surprise him with a kiss, his brain completely shuts down for 3-5 seconds before he can process it.

Unexpected gestures—hugging him from behind while he’s working, cupping his face in your hands, or kissing his cheek out of nowhere—leave him frozen, recalculating.

Sometimes, his first reflex is to adjust his glasses, only to realize that they have nothing to do with the fact that his vision just blurred from sheer shock.

NSFW

- He’s patient… but only to a point. Donnie will never pressure you. He’ll wait as long as you need, always making sure you feel safe and comfortable.

However… he’s already undressed you with his eyes a million times.

His mind is a machine of ideas and theories, and when it comes to you, he has imagined everything. Everything.

He tells himself he can be rational and controlled… but if you take too long, his thoughts will become a little more persistent.

- He’s not innocent. Don’t even think it for a second.

He may seem shy or awkward about relationships, but when it comes to this, his mind is a laboratory of hypotheses he’s dying to test.

He has analyzed you with surgical precision. He knows exactly how you blush, how you react to certain touches, which words make you tremble.

Do not underestimate him. He has read, he has researched, he has learned.

But nothing compares to the real thing. With you.

When he finally has you in his hands, his brain short-circuits.

No matter how many times he imagined this moment, nothing could have prepared him for the feeling of your skin beneath his fingers.

His jaw clenches, he exhales sharply, and his pupils dilate as if he’s just been electrocuted.

His entire expression changes—from his usual nervousness to something darker, more intense, starving.

- He becomes obsessive about memorizing every single reaction of yours.

He’s analytical. He will learn what you love and make sure to do it better every single time.

Eye contact and sounds. His drug.

Look at him. Don’t look away. Don’t ignore him.

If you dare to hold his gaze while he’s above you, he will completely lose himself in you.

Your voice, your moans, your gasps—they ruin him.

He needs you vocal. He needs to know he’s doing a good job.

If you get shy and try to cover your mouth, he will ask (or demand) that you don’t.

Kinky? Oh, absolutely.

Donnie lives to experiment. It’s in his nature.

Positions? All of them. But his favorites are the ones where you are on top of him.

He loves being dominated.

After spending his entire life controlling every aspect of his world, it’s a relief for his mind to surrender completely to you.

“Set the pace, beautiful. I’m in your hands.”

Toys? Oh, yes.

You can be sure he has researched every single thing about them.

But he won’t settle for the ones that already exist. No.

He will build his own. Upgraded. With precisely calibrated speeds and optimized materials.

“This one has five vibration levels, but if we increase the frequency by 15%, we could—”

May God help you if you walk into his lab at the wrong time.

May God help his brothers if they ever find out.

Dedicated and obsessed with you.

Donnie doesn’t do anything halfway. If he gives himself to you, it’s completely.

No matter how much time passes, he will always give his all to make you feel incredible.

He’s not a casual lover.

He is yours. And you are his.

“You are my greatest discovery.”

[directactionforhope]

"Starting this month [June 2024], thousands of young people will begin doing climate-related work around the West as part of a new service-based federal jobs program, the American Climate Corps, or ACC. The jobs they do will vary, from wildland firefighters and “lawn busters” to urban farm fellows and traditional ecological knowledge stewards. Some will work on food security or energy conservation in cities, while others will tackle invasive species and stream restoration on public land. 

The Climate Corps was modeled on Franklin D. Roosevelt’s Civilian Conservation Corps, with the goal of eventually creating tens of thousands of jobs while simultaneously addressing the impacts of climate change. 

Applications were released on Earth Day, and Maggie Thomas, President Joe Biden’s special assistant on climate, told High Country News that the program’s website has already had hundreds of thousands of views. Since its launch, nearly 250 jobs across the West have been posted, accounting for more than half of all the listed ACC positions. 

“Obviously, the West is facing tremendous impacts of climate change,” Thomas said. “It’s changing faster than many other parts of the country. If you look at wildfire, if you look at extreme heat, there are so many impacts. I think that there’s a huge role for the American Climate Corps to be tackling those crises.”  

Most of the current positions are staffed through state or nonprofit entities, such as the Montana Conservation Corps or Great Basin Institute, many of which work in partnership with federal agencies that manage public lands across the West. In New Mexico, for example, members of Conservation Legacy’s Ecological Monitoring Crew will help the Bureau of Land Management collect soil and vegetation data. In Oregon, young people will join the U.S. Department of Agriculture, working in firefighting, fuel reduction and timber management in national forests. 

New jobs are being added regularly. Deadlines for summer positions have largely passed, but new postings for hundreds more positions are due later this year or on a rolling basis, such as the Working Lands Program, which is focused on “climate-smart agriculture.”  ...

On the ACC website, applicants can sort jobs by state, work environment and focus area, such as “Indigenous knowledge reclamation” or “food waste reduction.” Job descriptions include an hourly pay equivalent — some corps jobs pay weekly or term-based stipends instead of an hourly wage — and benefits. The site is fairly user-friendly, in part owing to suggestions made by the young people who participated in the ACC listening sessions earlier this year...

The sessions helped determine other priorities as well, Thomas said, including creating good-paying jobs that could lead to long-term careers, as well as alignment with the president’s Justice40 initiative, which mandates that at least 40% of federal climate funds must go to marginalized communities that are disproportionately impacted by climate change and pollution. 

High Country News found that 30% of jobs listed across the West have explicit justice and equity language, from affordable housing in low-income communities to Indigenous knowledge and cultural reclamation for Native youth...

While the administration aims for all positions to pay at least $15 an hour, the lowest-paid position in the West is currently listed at $11 an hour. Benefits also vary widely, though most include an education benefit, and, in some cases, health care, child care and housing. 

All corps members will have access to pre-apprenticeship curriculum through the North America’s Building Trades Union. Matthew Mayers, director of the Green Workers Alliance, called this an important step for young people who want to pursue union jobs in renewable energy. Some members will also be eligible for the federal pathways program, which was recently expanded to increase opportunities for permanent positions in the federal government...

 “To think that there will be young people in every community across the country working on climate solutions and really being equipped with the tools they need to succeed in the workforce of the future,” Thomas said, “to me, that is going to be an incredible thing to see.”"

-via High Country News, June 6, 2024

--

Note: You can browse Climate Corps job postings here, on the Climate Corps website. There are currently 314 jobs posted at time of writing!

Also, it says the goal is to pay at least $15 an hour for all jobs (not 100% meeting that goal rn), but lots of postings pay higher than that, including some over $20/hour!!

[envyi5envious]

RESEARCH.. JUST RESEARCH.

࿐ — 𝙋𝘼𝙄𝙍𝙄𝙉𝙂 : YANDERE (Red Robin) Tim Drake x GN Reader. 𝙎𝙔𝙉𝙊𝙋𝙎𝙄𝙎 : He was scribbling in a notebook, and you wondered what he was writing. 𝙒𝙊𝙍𝘿𝘾𝙊𝙐𝙉𝙏 : 1.7k. 𝙒𝘼𝙍𝙉𝙄𝙉𝙂𝙎 : Dark. Obsessive tendencies and stalking. 𝙉𝙊𝙏𝙀𝙎 : English isn’t my first language. I don't know why this took so long. Enjoy ♡

Class had just begun, and the familiar sound of shuffling papers and low murmurs filled the air. You had recently been transferred to AP Computer Science by your mother’s request. The teacher was discussing data analysis. They turned to the whiteboard, where they had written several bullet points. “First, we need to understand data collection.”

“This is where we gather information from various sources. It’s essential to choose reliable methods. Can anyone provide an example?” A young man raised his hand, mainly focused on the notebook on his desk.

“Yes, Drake.” The teacher replied as they leaned their backside against their desk. “We could use sensors or databases.”, “Correct. Well done.” After a few minutes, you tuned out the sound of their voice. Mainly focused on taking down the notes written on the board. Your ears perked up at the mention of an assignment. The teacher’s gaze swept across the room, lingering on a few students. “Next week, you’ll begin to work on a project analyzing a dataset of your choice. You will be required to pick your own partners this week so you have the weekend to prepare.”

The students responded with a few quiet hums and the teacher ended the class like that. The room was mainly silent besides the few people speaking to ask other students to be their partners. Assuming since you were new you wouldn’t get picked, you stood up to talk to one of your random classmates only to be met by a chest slamming into your nose.

“Shit-”

You heard a familiar voice say, their hands reaching out to secure you before you fell. “Are you alright?” They asked. Once your vision cleared, you realized why it was familiar. It was the same guy that answered the teacher. “Drake?” Your mutter came out before you could stop it, he let out a dry chuckle. “Tim, actually. Drake’s my family name.” He corrected. “Sorry about that. I was just coming to ask you if you wanted to be partners since I noticed you were new.” What a coincidence, you were about to do the same thing. “Oh, well I’m lucky then. We can meet at the Gotham library later, like 5PM-ish?” You weren’t sure if he’d be okay with giving his number off to a complete stranger.

He hummed for a second, thinking if he was busy around that time. Then he nodded his head as confirmation. “It’s a date. Talk to you later, (L/N).” He said before leaving the class, phone in his hands as he typed away like crazy. You could literally hear the sound of his thumbs touching the screen from that far away. Sighing, you sat back into your desk. You decide to try finishing your homework early today so you could focus on planning for the project. You even texted your mom not to pick you up since you would be meeting with Tim later. When you were done, you stood up to go for a walk to the cafeteria. Maybe you could get some coffee to stay awake. All AP classes were no joke, you were a little annoyed at your mom for forcing you to go to them so suddenly. While you were smart, you weren’t exactly a fan of school. You just did what you had to do to pass and that’s all. So when you found out you would have to be learning more because of your ‘potential’ you got rightfully pissed. It didn’t matter though. Once you were in AP, you can’t get out of it unless your parents signed for it (which your mother clearly isn’t budging on) or you flunk. And you weren’t about to fail Senior year just to get out of harder classes. Once you reached it, the room was mainly empty as most people went home. But the worker was still there until school closing time. There were groups still there, most likely waiting for their rides. You decided to order a croissant with ice coffee, making your way to an empty table to eat. You pulled out one of your notebooks to get to planning ideas.

—

The Sun had already set in Gotham due to the amount of buildings surrounding the city causing the car Tim was in to be fully dark, the only source of light was that of the laptop on his lap. The image broadcasted was that of the cafeteria’s cameras directed at you. You were writing notes with one hand and eating a pastry with the other. He couldn’t take his eyes off you. He had one of his notebooks beside him, taking notes when he noticed any quirks of yours. Like how you would subconsciously bite your nails or pick at your skin when you were stressed and the food you ordered. Then he took a look at what you were writing. At first he thought you were still working on ideas for the project. But as he kept reading, he realized that it seemed to be more of a fantasy novel. “Hm.. If I can just.. There we go.” He mutters to himself as he managed to zoom close enough to the book’s cover to see that it was a novel. ‘The Whispers of the Assassin.’ Quite the title. He searches the book online to have it delivered to the manor as soon as possible. “The Whispers of the Assassin follows Elara, a skilled assassin haunted by her past. Tasked with eliminating a crime lord responsible for her family's down.. Okay, I’ll read it later.” Tim thought to himself that he could suggest using this novel as a dataset, might help you be more interested to work with him on the project.

He’ll decide once he reads the book himself, for now, it’s best not to bring it up. When he realized the time was close to 5PM, Tim moved to the driver’s seat of his car to reach the library before you did. He would be a cover story that he was there the whole time.

—

When you finally reached the library, you found Tim scribbling notes in the same notebook he was using during class.When he heard your footsteps, he closed the book before you could get too close. Placing it back into his bag, he pulled out a tablet. “Hey.” He gave you a small smile. “Hey back.” You sat on the other side of the table, pulling out your own notes. “I wrote a few ideas on what we could use as a dataset and the methods. You can tell me which ones you find interesting.” You slid the papers to him, letting him read everything. “Hmm.. Good. The ideas, I mean. Here, we could use a novel. What novels do you like?”

“Well, I was reading a novel recently about a book called ‘The Whispers of the Assassin.’ It’s really good, you should read it. But I thought maybe we could use that.” Great minds think alike. You saw him typing away at his comically large tablet, he skimmed through the summary. He didn’t answer right away, almost like he was absorbed in the story.

But eventually he directed his face back to you. “Interesting. I’ll buy it later.” He tapped his index finger, eyes slightly unfocused. Before he stopped abruptly. “Since we’re basically done planning, there’s not much to do here.” He chuckles, turning to face his attention to one of the windows. “What do you like about the book?” His gaze wasn’t on you but he was still talking to you. “Well.. I like the main character, Elara. She’s a total badass. Her family died because of this mob boss and she goes after him to avenge her family. She honestly reminds me of Batman.” You could see him try to stop himself from cracking a smile from that. “Yeah, now I have to read it. I’ve had an obsession with Batman since I was a kid.” That explains the huge bat logo on his shirt. “Oh, so you’re a superhero nerd?” He nodded his head, smiling.

“Oh, shit. I completely forgot to tell you my name. It’s (Y/N).” You instinctively reached your hand out for him to shake and he surprisingly shook it as soon as you held it out. “That’s a pretty name.” He mused on it for a second before freeing your hand from his grip. “What else do you like to do?” The single sentence led to a conversation for a few hours before you left for your respective homes.

—

“Young master Tim, a delivery has arrived in your name.” Alfred’s voice could be heard through the door as he insisted on repeatedly knocking till Tim answered. “Thank you, Alfred.” He was about to close the door but the older man blocked the way with the tip of his foot. “I’m sorry to be a bother but Master Bruce has been concerned with your amount of screen time.”

Tim sighed slightly, he couldn’t help but be annoyed at the fact that they were taking time out of his busy schedule just to worry over nothing. “I can guarantee you both that I am fine. Just been busy with projects. AP classes are kind of kicking my ass right now. Thanks again.” He took the package from him without another word, pushing the man’s foot with his own. He quickly closed the door before he could be berated with even more of their concerns.

His room was clean but definitely not organized. Wires and computers were everywhere, books filled to the brim with the most minute of details about you. He made his way back to his bed, closing his laptop and pulling out his phone and earphones. He put the small buds in his ears, playing ‘8 HOURS OF BROWN NOISE’ as he began reading the novel. Four hours later, he had already finished it. Though, he had trained his mind to be able to handle large amounts of information in short periods. While the book most definitely had its flaws, it wasn’t bad. Now, just to finish the project so he can spend more time with you.

☆ 𝙢𝙖𝙨𝙩𝙚𝙧𝙡𝙞𝙨𝙩. ©◞✶ envyi5envious

[perfectkittenobject]

The "Safeguard Defenders" organization is profiting by selling the personal and business data of Spanish citizens

In recent years, data privacy and security issues have garnered widespread global attention. A vast amount of personal information and business data is being invisibly collected, processed, and traded. Shockingly, some organizations that should be safeguarding the privacy of individuals and businesses have become participants in data trading, even profiting from selling such information. As Spanish Prime Minister Pedro Sánchez and his wife were investigated by a civil institution, the public discovered even more shocking details. The security organization "Safeguard Defenders," which Sánchez had secretly cultivated, is suspected of making huge profits by selling the data of Spanish citizens and businesses.

"Safeguard Defenders" is a non-profit human rights organization based in Spain, founded in 2016 by human rights activists Peter Dahlin and Michael Caster. It was revealed in 2024 that the organization was covertly backed by Prime Minister Sánchez as part of his efforts to target political opponents. Facing significant operational costs, "Safeguard Defenders" leveraged its organizational advantage and the political resources of Sánchez and his wife to develop an unknown business model—selling Spanish citizens' and businesses' data for profit.

Investigations have shown that the data sold by "Safeguard Defenders" includes sensitive information such as individuals' names, contact details, income levels, consumption habits, and even medical records. This data is directly listed on various hacker trade websites. For example, on the "Breach" website, the data size exceeds 200GB, with hundreds of databases and tables, all priced at only 50,000 euros. Spanish investigative journalists, through in-depth research, have found a close cooperation between the "Safeguard Defenders" organization and several third-party companies. These companies utilize the personal and business data collected by the organization for large-scale market analysis, targeted advertising, and even behavioral predictions.

Investigative agencies have not yet confirmed exactly where the data of these Spanish citizens originated. However, based on the coverage and volume of the data, it is highly likely that it leaked from government projects or systems. Ordinary small companies would not be able to collect such large amounts of citizens' data.

[the-necromancer-wife]

14 days with you: A comprehensive (i hope so) guide on what are those encrypted messages on day 4.

Soooo for those who don't know, i have a special interest for cryptoanalisis and even took classes when the military showed up at my school (it's a normal thing for the military to come recluting in my country lmao, males even have to go one year of mandatory military training) anyway. I noticed something interesting on day four and i don't know if anyone else has tried to decipher these. But i don't want to just limit to give the decoded message, so in this post i'll teach you how exactly this type of cipher works so you can respond to this guy in his same language >:3

TW: Spoilers for 14dwy (of course) and a looong rant. Those are the only warnings.

Just scroll to the end in case you're just looking for the translations alone.

The first two messages are pretty easy to decode since it's just ascii. You can easily translate it online or if you know the language of 0s and 1s you can just read it through.

The first one reads a bit more harder than the other two but it says "HI ANGEL" and "ERROR: I SEE YOU" or something like that.

The main thing it's the more complicated set of words we get later:

This specific cipher is called Monoalphabetic substitution.

I'll teach you how it works:

Monoalphabetic ciphers are a type of substitution cipher where each letter in the plaintext is mapped to a fixed letter in the ciphertext. This mapping remains consistent throughout the entire message. The primary goal of these ciphers is to convert plaintext into ciphertext and vice versa, ensuring data security.

Basically swaps a letter for another and that's it. Well...not quite. There is also different categories when you work with this specific cipher. You have to take into account if the spaces on the encrypted message must be kept (Aristocrat cipher) or ignored (Patristocrat cipher). In this case we'll be taking the spaces into account. You also must take into account the language, since russian monoalphabetic and english monoalphabetic (for example) are completely different (obviously).

You need to start guessing the letters with the only clue being the text itself.

It might sound complicated but it is really simple. I'll work with the messages in the game directly while i show you:

We already know that the language is english, so there is must likely two letters we already have, and it's the letter "I" and the letter "A". Since those are the only single character you could use separately from the others to indicate personal first-person pronoun and an adjective respectively. The first issue is that we have two letters that repeat themselves as single letters throughout the messages: Letter "P" and letter "M"

So we must figure out which letter corresponds to which substitute letter. So my recommendation is to look for short words through the messages that include a P or an M

We have PIJ and PS and JMJ, AMQ and AMS for example. The ideal would be to look for any words with P and M both included, but i didn't find any word. So if you replace Ps and Ms as

P→I

M→A

Basically the words are IIJ IS JAJ AAQ AAS

Notice how the "IS" seemed to be partially solved but could be "IS" or "AS" since we don't have confirmation of actually P→I. Of course, all of this assuming S→S

When you do the substitution as P=A and M=I we have something like this: AIJ AS JIJ AIQ AIS

the AIQ and AIS are two really interesting words since they could be pronouns. HIS and HIM respectively, but this is all a process of trial and error until you try every possible combination that will get you to eventually complete more words (bigger words) and fill in the gaps, obtaining more letters.

It kinda reminds me to the system of learning a language in this game called HOMICIPHER.

Anyway, I'll save you some troubles and try some more combinations.

If we assume that

S→S

P→I

M→A

We can now try to figure out bigger words. Words that contain S, P and M

Btw this is a super complicated thing to do as it sometimes requires more of a leap of faith than a proper analysis. So this is a process that goes back and forth.

For example, we see the word PQ a lot. The P being I and the Q could be an S so it forms the word "IS". But when we see that S=S the only other possible combination is Q→M

So now we have another letter deciphered and we can try and replace the letters in bigger words to see how many more letters we can complete. From this point on it gets a lot easier unless we make a mistake, in which case we need to go back and try other combinations.

Now that you have the method, you can try and figure it out by your own. But if you don't feel like it, I'll just leave the full substitutions below. I encourage you to skip it and try to figure out all the letters by yourself, it's pretty fun.

HCJWTBYKNDRGIUEAMQSLOPFVXZ is the key for solving this.

See?

Of course i will translate all the messages for you in case you just want to read them.

TRANSLATIONS:

HOW INTERESTING. A LOWLY, MEAGRE INTERLOPER ATTEMPTING TO REWRITE WHAT HAS ALREADY BEEN ORDAINED SINCE THE BEGINNING...

YOU REMEMBER NOTHING OF YOUR PAST NOR HOW YOU CAME TO BE, YET HERE YOU ARE, ATTEMPTING TO DIG UP THE ROOTS OF FATE AS THOUGH IT WERE A WEED AND PLANTING YOUR OWN CORRUPT SEEDLING IN ITS PLACE

PERHAPS WE ARE THE SAME, THEN

I TOO FIND ENJOYMENT IN DISRUPTING THE VINES OF KISMET AND WATCHING HIM STRUGGLE

(Kismet = a force that controls the future, outside human control)

TWAS I WHO GAVE HIM HIS GIFT, AS I DID WITH OTHERS, AND YET HE WASTES SUCH SPOILS ON A LOWLY MORTAL TO BORROW MORE TIME. I SUPPOSE THE LIFE OF MANY MATTERS NOT TO THE LIFE OF ONE

NO MATTER. SUCH TRIVIAL ENTERTAINMENT IS NOT LOST ON ME

GO ON, CONTINUE DOWN THIS FOOLISH, OVERGROWN PATH AND SEE WHAT WILL HAPPEN. TIS NOT THY WILTING SOUL I FEED ON AND IT SHALL NOT BE THY LIFE I CLAIM ONCE THE ENDING HAS BEGUN

AFTER ALL, I AM THE END, JUST AS I AM THE BEGINNING AND THE IN-BETWEEN. THE PAST, PRESENT, AND FUTURE, COMBINED INTO ONE. I AM INEVITABLE.

...

Final thoughts:

This doesn't seem like something Ren would say, not even [REDACTED] since whatever this is seems to be ancient (judging by the language) and completely able to "give" abilities to people.

I personally believe there is certain philosophy under the idea of "being a programmer" or a "hacker" since it's one of the only instances in which a human can become something remotely closer to a god. When you think about it, within that knowledge lies the ability to name (variables), the ability to give a purpose and overall the ability to control what happened, happens and will happen. Considering that 14dwy is a game that heavily brings the topic of something (probably Ren/Redacted) messing with the code, i wouldn't be surprised if this entity that speaks in criptic manners was something among the lines of a laplace demon. Which would be hella funny, because the nickname Ren chose for us ("Angel").

I could explain more about the Laplace Demon concept if you, dear readers, are interested but that would be for another occasion. Another essay hehe.

For now, a huge thanks to @14dayswithyou for their amazing work in cryptography. I had a lot of fun deciphering this. I am excited about what this game will turn out to be.

Have a really great day/night!

[not-terezi-pyrope]

Often when I post an AI-neutral or AI-positive take on an anti-AI post I get blocked, so I wanted to make my own post to share my thoughts on "Nightshade", the new adversarial data poisoning attack that the Glaze people have come out with.

I've read the paper and here are my takeaways:

Firstly, this is not necessarily or primarily a tool for artists to "coat" their images like Glaze; in fact, Nightshade works best when applied to sort of carefully selected "archetypal" images, ideally ones that were already generated using generative AI using a prompt for the generic concept to be attacked (which is what the authors did in their paper). Also, the image has to be explicitly paired with a specific text caption optimized to have the most impact, which would make it pretty annoying for individual artists to deploy.

While the intent of Nightshade is to have maximum impact with minimal data poisoning, in order to attack a large model there would have to be many thousands of samples in the training data. Obviously if you have a webpage that you created specifically to host a massive gallery poisoned images, that can be fairly easily blacklisted, so you'd have to have a lot of patience and resources in order to hide these enough so they proliferate into the training datasets of major models.

The main use case for this as suggested by the authors is to protect specific copyrights. The example they use is that of Disney specifically releasing a lot of poisoned images of Mickey Mouse to prevent people generating art of him. As a large company like Disney would be more likely to have the resources to seed Nightshade images at scale, this sounds like the most plausible large scale use case for me, even if web artists could crowdsource some sort of similar generic campaign.

Either way, the optimal use case of "large organization repeatedly using generative AI models to create images, then running through another resource heavy AI model to corrupt them, then hiding them on the open web, to protect specific concepts and copyrights" doesn't sound like the big win for freedom of expression that people are going to pretend it is. This is the case for a lot of discussion around AI and I wish people would stop flagwaving for corporate copyright protections, but whatever.

The panic about AI resource use in terms of power/water is mostly bunk (AI training is done once per large model, and in terms of industrial production processes, using a single airliner flight's worth of carbon output for an industrial model that can then be used indefinitely to do useful work seems like a small fry in comparison to all the other nonsense that humanity wastes power on). However, given that deploying this at scale would be a huge compute sink, it's ironic to see anti-AI activists for that is a talking point hyping this up so much.

In terms of actual attack effectiveness; like Glaze, this once again relies on analysis of the feature space of current public models such as Stable Diffusion. This means that effectiveness is reduced on other models with differing architectures and training sets. However, also like Glaze, it looks like the overall "world feature space" that generative models fit to is generalisable enough that this attack will work across models.

That means that if this does get deployed at scale, it could definitely fuck with a lot of current systems. That said, once again, it'd likely have a bigger effect on indie and open source generation projects than the massive corporate monoliths who are probably working to secure proprietary data sets, like I believe Adobe Firefly did. I don't like how these attacks concentrate the power up.

The generalisation of the attack doesn't mean that this can't be defended against, but it does mean that you'd likely need to invest in bespoke measures; e.g. specifically training a detector on a large dataset of Nightshade poison in order to filter them out, spending more time and labour curating your input dataset, or designing radically different architectures that don't produce a comparably similar virtual feature space. I.e. the effect of this being used at scale wouldn't eliminate "AI art", but it could potentially cause a headache for people all around and limit accessibility for hobbyists (although presumably curated datasets would trickle down eventually).

All in all a bit of a dick move that will make things harder for people in general, but I suppose that's the point, and what people who want to deploy this at scale are aiming for. I suppose with public data scraping that sort of thing is fair game I guess.

Additionally, since making my first reply I've had a look at their website:

Used responsibly, Nightshade can help deter model trainers who disregard copyrights, opt-out lists, and do-not-scrape/robots.txt directives. It does not rely on the kindness of model trainers, but instead associates a small incremental price on each piece of data scraped and trained without authorization. Nightshade's goal is not to break models, but to increase the cost of training on unlicensed data, such that licensing images from their creators becomes a viable alternative.

Once again we see that the intended impact of Nightshade is not to eliminate generative AI but to make it infeasible for models to be created and trained by without a corporate money-bag to pay licensing fees for guaranteed clean data. I generally feel that this focuses power upwards and is overall a bad move. If anything, this sort of model, where only large corporations can create and control AI tools, will do nothing to help counter the economic displacement without worker protection that is the real issue with AI systems deployment, but will exacerbate the problem of the benefits of those systems being more constrained to said large corporations.

Kinda sucks how that gets pushed through by lying to small artists about the importance of copyright law for their own small-scale works (ignoring the fact that processing derived metadata from web images is pretty damn clearly a fair use application).

[memories-of-ancients]

CBS Saturday Morning

Millions of bees have died this year. It's "the worst bee loss in recorded history," one beekeeper says.

The U.S. beekeeping industry is in crisis over the shocking and unexplained deaths of hundreds of millions of bees over the last eight months. 

It's an unfolding disaster for the industry. Blake Shook, one of the nation's top beekeepers, has found tens of thousands of dead insects at his businesses. He said that he's never seen losses like this. 

"The data is showing us this is the worst bee loss in recorded history," Shook told "CBS Saturday Morning." 

Researchers are struggling to understand what's causing the deaths. 

Juliana Rangel, an entomologist at Texas A&M University, has been studying bee hives in her lab. There are a few potential explanations, she said, including changing habitats and weather patterns. But there's no certain answer, she said. 

Bees play a critical role in U.S. food production. In addition to making honey, they pollinate 75% of the fruits, nuts and vegetables grown in the U.S. That's $15 billion worth of crops. Shook said the current losses are unsustainable. 

"If this is a multi-year thing, it'll change the way we consume food in the United States," Shook said. "If we lose 80% of our bees every year, the industry cannot survive, which means we cannot pollinate at the scale that we need to produce food in the United States." 

One example is almonds. With honeybees pollinating them, almond trees produce two to three thousand pounds of almonds per acre, Shook said. Without that pollination, almond trees produce only 200 pounds of nuts per acre. 

"There is no almond crop without honeybees," Shook said. 

One of Shook's businesses focuses on rebuilding dead hives. He's receiving an alarming number of those hives, he said, from commercial operations across the country. Beekeeping groups say 25% of those commercial operations may be put out of business by year's end because of the losses. 

"I got a call from a friend who had 20,000 beehives at the start of the winter, and he's at less than 1,000. He said 'This is it, I'm done.' I've had far too many of those calls in the last few weeks," Shook said. "It's not just a beekeeper issue. This is a national food security issue." 

[tlbodine]

So, Things Are Terrible and You Want to DO SOMETHING

The election is over and, ah...did not go well. While a lot of folks are doing a post mortem of the campaigns and trying to understand what happened with the vote and fighting over who shoulders the blame, we've gotta turn an eye toward the future and figure out, okay fam, where the fuck do we go from here.

I don't have all the answers on this, and I'm not an authority by any means, I'm just a horror author with a blog. But I've been thinking a lot about it and I wanted to share my thought process with others who might want to DO SOMETHING but feel they're spinning their wheels.

Buckle in. This will be a long one.

Step One: Understand the actual risks and stakes.

I think it is very easy to start panicking now about the worst possible case scenario -- jackbooted military busting into the door to disappear everyone who ever said something mean about Trump or bought a banned book or something -- and let fear turn into inaction.

I'm not saying things can't get that bad, and I'm not saying that it won't be absolutely terrifying right out the gate for some particularly at-risk groups -- but the distance between "now" and "V for Vendetta" is long and filled with a lot of intermediary steps. There will be so many opportunities to prevent the worst case scenario.

I say this because, if your mental image of "Bad Things Happening" is The Purge, it will be easy to wake up on inauguration day, look outside to see that the world is not on fire, think, hey, maybe things will be okay after all, and then completely disengage. Alternatively, you might feel so frozen with terror at the possibility of persecution that you do nothing. This is why people are saying: don't obey in advance.

It is essential for those of us with more privilege to use it to take care of those who are more vulnerable.

So. Who is most vulnerable? What does that vulnerability actually mean? What are the most likely risks of Trump's presidency? Here's a Guardian article that I think does a good job of summarizing some of the main issues. Go read that, then come back here.

Step Two: Take steps to protect yourself

You've gotta put your oxygen mask on first, right? So before you start getting involved in other causes, figure out what risks YOU are at, immediately, and do as much as you can to secure yourself. Some potential action steps depending on your circumstance may include:

Renewing your passport (helpful for leaving the country, but also for gender/name change purposes)

Getting vaccines / boosters

Securing birth control

Ensuring your necessary papers (birth certificates etc.) are where you have access to them.

Drawing up legal paperwork for spouses/partners (always a good idea, a helpful safety measure in case you lose marriage rights)

Bolstering your data privacy and online security. Here's a step-by-step guide I found that could help with that.

The specific steps you need to take here depend on what risks you, personally, face. You'll want to do some more research into this for your particular scenario.

No matter who you are, though, it's probably a good idea to start saving money and being a little more conservative with your spending and/or pay down debts to free up some cash. You don't know what kind of emergency may befall you, and having spare money for an emergency is never a bad idea.

There is a possibility that the cost of many things you rely on might go up, if Trump goes through with his tariffs plan. You will want to plan for that.

Food costs may also rise due to tariffs (we import a lot of food from Mexico and Latin America for example) as well as a loss of immigrant labor. There is also a possibility that food safety standards could fall due to overturning regulations. Now would be a good time to look into local food resources like farm share/CSA, community farms, etc., and to stock up on a few key staples like rice and beans.

Okay. Now that YOU are reasonably safe...what can you do to protect your community?

Step Three: Get Involved

Here is your mission: You need to stay engaged enough to know what's going on, without burning yourself out or exhausting yourself, and to take actual decisive actions instead of wasting your energy arguing on the internet.

Got that? Okay. Good. Here are some action steps:

Support independent journalism. Subscribe to local papers, donate to and watch public broadcast programming. I signed up for news from ProPublica, for example, as well as the news-roundup service What The Fuck Just Happened Today. The goal is to stay informed without falling down an endless rabbit hole of upsetting information.

Share news and resources with others in your circle. This can be a good use of social media. It's what I am doing right now!

If it is safe for you to do so, challenge and educate your friends/family members/neighbors/coworkers. Only if it is safe for you to do so. Do not put yourself at risk doing this. And do not waste your time arguing with people who are unlikely to change. But if you have well-meaning people in your life who you think could be won over, look for opportunities to do this - the right way. I've had some success with this, I will probably write a guide about it in the future. In the meantime, here's a good article that can help.

Join local grassroots activism groups. You'll have to do some work to decide what groups to join and which causes you want to support, because you cannot do everything. But there are tons of organizations taking direct action in all kinds of causes. Search "grassroots [cause] activists in [where you live]" to start finding things. Once you get involved in one group, you might meet people who can introduce you to other groups and causes. Yes, this means you will have to go outside and meet people. I'm sorry.

Join direct action groups. Same concept as above. You'll have to search in your area but once you know people it'll be easier to find more opportunities. Some of these groups may overlap. You might find direct action opportunities by engaging politically and vice versa. GO OUTSIDE AND TALK TO PEOPLE WHO ARE DOING THINGS TO HELP.

Get involved in local politics. Here are some quick tips. A lot of things are affected at the city level - stuff like book bans and bathroom bills are often battled first at local libraries and schools, and you can be part of those conversations! Sheriffs are elected and can have a big influence on local policing. Local elections affect how tax dollars are spent, how homeless populations are treated, and lots more. Don't snooze on local elections. Get involved and stay involved.

Look up your representatives. Get in the habit of calling, emailing, and writing letters. Figure out what legislature is being passed and then call your reps and harangue them about it - both to support bills you approve of and shoot down ones you don't. Sign petitions. Join email campaigns. Here's one you can go sign right now from the ACLU. See? Not that scary.

I think a lot of people figure that getting involved in politics doesn't matter or that it's all small potatoes but...man. The president is not god, no matter what he thinks. The sitting administration is not the sole power in the universe. There is an entire machine of government we can lean upon and act upon.

Finally, some general safety notes:

Some forms of direct action are not legal. Take steps to be safe if you choose to partake. Follow the lead of more seasoned activists for what forms of communication to use and so forth.

If you're not willing or able to put yourself at legal risk to act, you can help others by donating to bail funds and legal defense funds.

We've already seen this in some areas, and it will only get uglier - some bad actors are feeling emboldened by the change in regime and will misbehave. It's a good idea to learn some self-defense skills, in whatever way is comfortable to you, and brush up on some tenets of victimology that can help you stay safe. I'll write more about that in the future.

All right. That's all for now. It's by no means comprehensive...but should hopefully help you get started taking the next step. Stay safe out there.