#medical web design company

[aaksconsulting]

Diagnosing Tomorrow : The AI Revolution in Medical Healthcare

The intersection of technology and healthcare has yielded remarkable advancements throughout history, and now, we stand at the precipice of another groundbreaking leap – the integration of artificial intelligence (AI) into medical diagnostics. The marriage of AI’s computational prowess with the intricacies of medical science is reshaping the landscape of healthcare, offering improved accuracy, efficiency, and accessibility in the diagnostic process. In this article, we’ll delve into how AI is ushering in a new era of medical diagnostics, transforming the way we approach disease detection, patient care, and overall well-being. Visit More - https://www.aaks.ca/blog/medical-healthcare/diagnosing-tomorrow-the-ai-revolution-in-medical-healthcare

[zozotheme]

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[awapalusa]

The Ultimate Service provider of website design for tradesmen

Awapal is a website design company that specializes in creating websites for various industries, including tradesmen. They offer custom website design, development, and digital marketing services to help businesses establish a strong online presence. If you're a tradesman looking for a company that offers website design for tradesmen, Awapal could be a good option to consider.

[milliondental]

Dental Website Design: How to Build Trust and Credibility with Your Patients

In today's digital age, a professional and well-designed dental website is crucial for building trust and credibility with your patients. A website that looks outdated, unprofessional, or confusing can create a negative impression of your dental practice, while a well-designed website can help patients feel more confident and comfortable about their dental care. We'll share some tips on how to build trust and credibility with your patients through your dental website design.

[orientalsolutions]

Data curation Services and Data Mining company in Chennai -Oriental solutions

We, at Oriental Solutions, the best data curation and data mining company in Chennai, India are primarily engaged in offering health care and medical transcription services to other companies. Apart from that, we also work for automotive and consumer goods / services verticals.

Oriental Solutions is a professionally operated innovative process based company, offering cost effective solution for information processing and document management needs. As a top data mining and data curation company in Chennai, our expertise in operational model gives us a competitive edge by focusing on quality and reliability delivered through the off-shore platform .

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[vocisllc]

Internet Marketing Services and in Houston USA

Search Engine Optimization (SEO) is a crucial aspect of medical marketing that helps to improve the visibility and ranking of a website or a web page in a search engine's unpaid results. By implementing effective Medical seo services company Houston strategies, businesses can increase the quantity and quality of traffic to their website, leading to higher conversions and revenue.

One of the most important aspects of SEO is creating high-quality, relevant content for your website. Search engines use complex algorithms to determine the relevance and authority of a website, and high-quality content is a critical factor in these algorithms. To optimize your content for search engines, it's essential to do keyword research to identify the keywords and phrases your target audience is searching for and to include them in your content in a natural and relevant way.

Another important aspect of SEO is building backlinks to your website. Backlinks are links from other websites that point to your site. Search engines view backlinks as a sign of authority and relevance, and the more backlinks your site has, the higher it will rank in search engine results. To build backlinks, you can reach out to other websites and ask them to link to your site or create high-quality content that other websites will naturally want to link to.

Technical SEO is also an essential aspect of SEO; it includes optimizing your website's structure, code, and navigation to make it easy for search engines to crawl and index your site. This includes creating a sitemap, optimizing page titles and meta descriptions, and ensuring your site is mobile-friendly android App Development Company Houston.

SEO is a continuous process, and staying up-to-date with the latest best practices and algorithm updates is essential. Regularly monitoring your website's performance and adjusting as needed can help you maintain and improve your search engine rankings.

In conclusion, SEO is an essential part of VOCIS’ S digital marketing that can help your business to increase visibility and attract more qualified traffic to your website. Creating high-quality content, building backlinks, and optimizing your website's technical structure can improve your search engine rankings and drive more traffic to your medical site.

[rbbrduck]

Healthcare Website Design Company - Rbbr Duck

With medical portal patients gain instant access to their healthcare information along with the ability to book doctor appointments, review test results and much more.

[brainiuminfotech]

Brainium collaborated with Rotary Club, Kolkata to organize a free medical camp on 6th August at Bantala, Old Market Primary School.

[lordzannis]

Here are 30 ways you can support Palestinians:

Donate to reputable organizations providing humanitarian aid to Palestinians, such as the Palestine Children's Relief Fund (PCRF), Muslim Hands, American Friends Service Committee (AFSC), and UN Relief and Works Agency (UNRWA).[1][4][5]

Advocate for change by writing to elected representatives, signing petitions, and supporting political campaigns promoting peace and justice.[1][4]

Educate yourself on the history and root causes of the Israeli-Palestinian conflict.[1][4]

Support Palestinian businesses and the local economy.[1][4][5]

Attend protests, marches, rallies, and vigils to demonstrate solidarity.[1][4]

Write letters to the editor countering harmful narratives and providing context.[4]

Read and share Palestinian voices and perspectives, such as the anthology "Light in Gaza."[4]

Hold corporations accountable for complicity in human rights violations by divesting or boycotting them.[4]

Join initiatives like AFSC's "Apartheid-Free" campaign to dismantle Israeli apartheid.[4]

Make du'a (supplication) for relief and blessings in your efforts.[1]

Share information on social media to raise awareness.

Volunteer or intern with pro-Palestinian organizations.

Organize educational events, film screenings, or discussions in your community.

Support Palestinian artists, musicians, and cultural events.

Learn the Arabic language and Palestinian dialect.

Travel to Palestine as an activist or on a solidarity trip.

Boycott products made in Israeli settlements in occupied Palestinian territories.

Donate to crowdfunding campaigns supporting Palestinian families and causes.

Sponsor a Palestinian student's education.

Plant olive trees or support Palestinian farmers and agriculture.

Advocate for Palestinian refugees' right of return.

Call for ending the blockade and occupation of Gaza.

Demand corporations divest from the Israeli military-industrial complex.[2]

Support the Boycott, Divestment, Sanctions (BDS) movement.

Amplify Palestinian voices and stories through art, writing, or filmmaking.

Pressure universities to divest from companies complicit in the occupation.

Participate in an annual Palestinian solidarity event like Al-Awda or Israeli Apartheid Week.

Support Palestinian prisoners' rights and call for their release.

Donate blood or join a humanitarian aid convoy to Gaza.

Offer skills like web design, translation, or medical expertise to Palestinian organizations.

The key is taking meaningful action through donations, advocacy, boycotts, education, and amplifying Palestinian voices to promote human rights and a just resolution.

Citations: [1] https://muslimhands.org.uk/latest/2021/06/how-to-support-palestine-and-gaza-with-charity [2] https://www.reddit.com/r/EffectiveAltruism/comments/17nbhqf/what_can_realistically_be_done_from_abroad_to/ [3] https://afsc.org/programs/us-palestine-activism-program [4] https://afsc.org/news/6-ways-you-can-support-palestinians-gaza [5] https://www.pcrf.net/information-you-should-know/how-to-help-palestine.html

i asked it :how to build keffiyeh factory ?

[mariacallous]

A week after its algorithms advised people to eat rocks and put glue on pizza, Google admitted Thursday that it needed to make adjustments to its bold new generative AI search feature. The episode highlights the risks of Google’s aggressive drive to commercialize generative AI—and also the treacherous and fundamental limitations of that technology.

Google’s AI Overviews feature draws on Gemini, a large language model like the one behind OpenAI’s ChatGPT, to generate written answers to some search queries by summarizing information found online. The current AI boom is built around LLMs’ impressive fluency with text, but the software can also use that facility to put a convincing gloss on untruths or errors. Using the technology to summarize online information promises can make search results easier to digest, but it is hazardous when online sources are contractionary or when people may use the information to make important decisions.

“You can get a quick snappy prototype now fairly quickly with an LLM, but to actually make it so that it doesn't tell you to eat rocks takes a lot of work,” says Richard Socher, who made key contributions to AI for language as a researcher and, in late 2021, launched an AI-centric search engine called You.com.

Socher says wrangling LLMs takes considerable effort because the underlying technology has no real understanding of the world and because the web is riddled with untrustworthy information. “In some cases it is better to actually not just give you an answer, or to show you multiple different viewpoints,” he says.

Google’s head of search Liz Reid said in the company’s blog post late Thursday that it did extensive testing ahead of launching AI Overviews. But she added that errors like the rock eating and glue pizza examples—in which Google’s algorithms pulled information from a satirical article and jocular Reddit comment, respectively—had prompted additional changes. They include better detection of “nonsensical queries,” Google says, and making the system rely less heavily on user-generated content.

You.com routinely avoids the kinds of errors displayed by Google’s AI Overviews, Socher says, because his company developed about a dozen tricks to keep LLMs from misbehaving when used for search.

“We are more accurate because we put a lot of resources into being more accurate,” Socher says. Among other things, You.com uses a custom-built web index designed to help LLMs steer clear of incorrect information. It also selects from multiple different LLMs to answer specific queries, and it uses a citation mechanism that can explain when sources are contradictory. Still, getting AI search right is tricky. WIRED found on Friday that You.com failed to correctly answer a query that has been known to trip up other AI systems, stating that “based on the information available, there are no African nations whose names start with the letter ‘K.’” In previous tests, it had aced the query.

Google’s generative AI upgrade to its most widely used and lucrative product is part of a tech-industry-wide reboot inspired by OpenAI’s release of the chatbot ChatGPT in November 2022. A couple of months after ChatGPT debuted, Microsoft, a key partner of OpenAI, used its technology to upgrade its also-ran search engine Bing. The upgraded Bing was beset by AI-generated errors and odd behavior, but the company’s CEO, Satya Nadella, said that the move was designed to challenge Google, saying “I want people to know we made them dance.”

Some experts feel that Google rushed its AI upgrade. “I’m surprised they launched it as it is for as many queries—medical, financial queries—I thought they’d be more careful,” says Barry Schwartz, news editor at Search Engine Land, a publication that tracks the search industry. The company should have better anticipated that some people would intentionally try to trip up AI Overviews, he adds. “Google has to be smart about that,” Schwartz says, especially when they're showing the results as default on their most valuable product.

Lily Ray, a search engine optimization consultant, was for a year a beta tester of the prototype that preceded AI Overviews, which Google called Search Generative Experience. She says she was unsurprised to see the errors that appeared last week given how the previous version tended to go awry. “I think it’s virtually impossible for it to always get everything right,” Ray says. “That’s the nature of AI.”

Even if blatant errors like suggesting people eat rocks become less common, AI search can fail in other ways. Ray has documented more subtle problems with AI Overviews, including summaries that sometimes draw on poor sources such as sites that are from another region or even defunct websites—something she says could provide less useful information to users who are hunting for product recommendations, for instance. Those who work on optimizing content for Google’s Search algorithm are still trying to understand what’s going on. “Within our industry right now, the level of confusion is on the charts,” she says.

Even if industry experts and consumers get more familiar with how the new Google search behaves, don’t expect it to stop making mistakes. Daniel Griffin, a search consultant and researcher who is developing tools to make it easy to compare different AI-powered search services, says that Google faced similar problems when it launched Featured Snippets, which answered queries with text quoted from websites, in 2014.

Griffin says he expects Google to iron out some of the most glaring problems with AI Overviews, but that it’s important to remember no one has solved the problem of LLMs failing to grasp what is true, or their tendency to fabricate information. “It’s not just a problem with AI,” he says. “It’s the web, it’s the world. There’s not really a truth, necessarily.”

[aaksconsulting]

Diagnosing Tomorrow : The AI Revolution in Medical Healthcare

INTRODUCTION

The intersection of technology and healthcare has yielded remarkable advancements throughout history, and now, we stand at the precipice of another groundbreaking leap – the integration of artificial intelligence (AI) into medical diagnostics. The marriage of AI’s computational prowess with the intricacies of medical science is reshaping the landscape of healthcare, offering improved accuracy, efficiency, and accessibility in the diagnostic process. In this article, we’ll delve into how AI is ushering in a new era of medical diagnostics, transforming the way we approach disease detection, patient care, and overall well-being.

In the ever-evolving landscape of healthcare, a groundbreaking revolution is underway, poised to transform the way medical diagnostics are conducted. Artificial Intelligence (AI), once confined to the realm of science fiction, has now become an integral part of modern medicine. With its ability to process vast amounts of data, recognize patterns, and make intelligent decisions, AI is playing a pivotal role in revolutionizing medical diagnostics and ultimately improving patient outcomes.

THE POWER OF AI IN MEDICAL DIAGNOSTICS

Traditional medical diagnostics have long relied on the expertise of skilled professionals to interpret medical images, analyze lab results, and identify potential diseases. However, the human capacity for analysis is limited by time, resources, and the sheer complexity of medical data. This is where AI steps in, offering an unprecedented capacity to handle and make sense of enormous datasets with remarkable speed and accuracy.

One of the primary advantages of AI lies in its ability to detect subtle patterns that might escape even the most experienced human eye. For instance, in medical imaging, AI algorithms can identify minuscule anomalies in X-rays, MRIs, and CT scans that could signify the early stages of diseases like cancer or neurological disorders. This early detection can dramatically increase the chances of successful treatment and recovery.

THE CURRENT DIAGNOSTIC LANDSCAPE

Traditional medical diagnostics have long relied on the expertise of healthcare professionals, involving extensive manual analysis of patient data, medical history, and diagnostic images. While effective, this approach has its limitations, including the potential for human error, time-intensive processes, and discrepancies in interpretation.

THE AI ADVANTAGE IN DIAGNOSTICS

Enhanced Accuracy: AI algorithms can analyze vast datasets and medical images with unparalleled accuracy. They can detect subtle patterns, anomalies, and correlations that might be imperceptible to the human eye, leading to earlier and more accurate diagnoses.

Efficiency and Speed: AI can process and analyze medical information in a fraction of the time it would take a human expert. This efficiency can expedite the diagnostic process, crucial in cases where rapid intervention is necessary.

Personalized Medicine: AI can process individual patient data, such as genetic information and medical history, to tailor diagnoses and treatment plans to each patient’s unique needs, optimizing outcomes.

Remote Diagnostics: With telemedicine on the rise, AI-powered diagnostic tools can facilitate remote consultations and assessments, providing medical care to individuals in underserved or remote areas.

APPLICATIONS OF AI IN MEDICAL DIAGNOSTICS

Radiology and Imaging: AI algorithms excel at analyzing medical images, such as X-rays, MRIs, and CT scans, identifying abnormalities and assisting radiologists in making more accurate interpretations.

Pathology: AI can aid pathologists in identifying cancerous cells in tissue samples, potentially reducing errors and expediting diagnoses.

Cardiology: AI-powered algorithms can analyze heart rhythms, ECGs, and other cardiac data to predict cardiovascular events and suggest appropriate interventions.

Dermatology: AI-driven image analysis can assist dermatologists in diagnosing skin conditions, potentially improving the early detection of skin cancers.

Predictive Analytics: AI can analyze patient data to predict disease risks and outcomes, enabling proactive interventions to prevent or manage conditions.

CHALLENGES AND CONSIDERATIONS

While the potential of AI in medical diagnostics is immense, several challenges must be navigated:

Data Privacy: Handling patient data requires strict adherence to privacy regulations to ensure patient confidentiality and data security.

Bias and Interpretability: AI algorithms must be carefully designed to mitigate biases and provide transparent explanations for their diagnoses.

Human Collaboration: AI should be viewed as a tool that complements human expertise rather than replaces it. Collaborative efforts between AI and healthcare professionals are essential.

AI IN MEDICAL IMAGING

Medical imaging, a cornerstone of modern diagnostics, has experienced a paradigm shift with the integration of AI. AI-powered image analysis algorithms can swiftly process complex images, highlight abnormalities, and even predict the progression of diseases based on patterns they’ve learned from vast datasets.

For instance, in radiology, AI algorithms have demonstrated remarkable accuracy in detecting various conditions. In some cases, AI has shown the potential to outperform human radiologists in identifying certain abnormalities. This doesn’t replace radiologists, but rather enhances their capabilities, allowing them to focus on more complex cases and improving overall diagnostic accuracy.

PREDICTIVE ANALYSIS AND EARLY INTERVENTION

AI’s capabilities extend beyond image analysis. Machine learning algorithms can analyze patient data, from medical history and genetics to lifestyle factors, to predict the likelihood of certain diseases. By identifying high-risk individuals, healthcare providers can intervene earlier, offering preventive measures and personalized treatment plans.

Consider the example of diabetes. AI can analyze data from multiple sources to predict the likelihood of an individual developing diabetes. Armed with this information, healthcare professionals can work with patients to implement lifestyle changes that reduce the risk of disease onset.

CHALLENGES AND CONSIDERATIONS

While the potential of AI in medical diagnostics is immense, there are challenges that need to be addressed. One of the major concerns is the need for robust and diverse datasets. AI algorithms learn from data, and if the data used is skewed or incomplete, it can lead to biased outcomes. Ensuring that AI systems are trained on representative data from various demographics is crucial to avoiding bias and ensuring equitable diagnostics.

Additionally, the “black box” nature of some AI algorithms can raise questions about transparency and accountability. Understanding how AI arrives at a particular diagnosis or prediction is essential for building trust between medical professionals, patients, and AI systems.

THE HUMAN-AI PARTNERSHIP

It’s important to note that AI is not a replacement for healthcare professionals. Instead, it’s a powerful tool that can enhance their capabilities. The ideal future lies in a symbiotic relationship between humans and AI, where medical professionals use AI-generated insights to make more informed decisions, while patients receive more accurate diagnoses and personalized treatment plans.

LOOKING AHEAD

The future of medical diagnostics is undoubtedly intertwined with the rise of AI. As AI technology continues to advance, we can expect even more precise and early diagnoses, leading to improved patient outcomes and a more efficient healthcare system overall.

In conclusion, the AI revolution in medical diagnostics is not a distant dream but a rapidly evolving reality. By harnessing the power of AI, healthcare professionals can unlock insights hidden within vast datasets, predict disease onset, and ultimately save lives through early intervention. While challenges exist, the potential benefits are immense, heralding a new era of healthcare that is data-driven, proactive, and patient-centered. As we stand on the brink of this transformation, it’s clear that the future of medical diagnostics is one where AI plays a pivotal role in shaping healthier lives for all.

THE ROAD AHEAD

The AI revolution in medical diagnostics is already underway, and its trajectory is promising. As technology continues to evolve, AI systems will become more sophisticated, capable of handling even more complex diagnostic tasks. However, it’s crucial to approach this revolution with ethical considerations, patient well-being, and regulatory compliance at the forefront.

CONCLUSION

The fusion of artificial intelligence with medical diagnostics is revolutionizing the healthcare landscape. The capabilities of AI to analyze and interpret medical data with unparalleled accuracy and speed have the potential to transform the way diseases are detected, treated, and managed. As we embrace this new era of healthcare, collaboration between technology and medical professionals will drive innovation, improve patient outcomes, and pave the way for a healthier tomorrow. The future of medical diagnostics is here, and it’s powered by AI.

[zozotheme]

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[mostlysignssomeportents]

This day in history

Support me this summer on the Clarion Write-A-Thon and help raise money for the Clarion Science Fiction and Fantasy Writers' Workshop!

#20yrsago Doonesbury to be dropped for being “too controversial” https://web.archive.org/web/20040723071326/https://www.editorandpublisher.com/eandp/news/article_display.jsp?vnu_content_id=1000581723

#20yrsago Secret Swing visit report https://web.archive.org/web/20040725050428/http://candycritic.bravejournal.com/entry/4178

#20yrsago Game developer: the real pirates are my publishers http://draginol.joeuser.com/article/21895

#20yrsago Imagineering head on Tiki Room rehab https://web.archive.org/web/20040806155355/http://www.laughingplace.com/default.asp?WCI=MsgBoard&WCE=T-51032-P-1&Refresh=0721171722

#20yrsago In-game product placement’s dystopian future https://terranova.blogs.com/terra_nova/2004/07/oh_great.html

#20yrsago Downloading isn’t killing music https://web.archive.org/web/20040724060140/http://www.guardian.co.uk/online/story/0,3605,1265840,00.html

#15yrsago Last Galapagos Pinta turtle finally knocks up a mate’s eggs https://web.archive.org/web/20090725192130/http://scienceray.com/earth-sciences/paleontology/lonesome-george-to-finally-be-a-father/

#15yrsago Photographer who shot demolition of flyover arrested for terrorism https://web.archive.org/web/20090713000304/http://monaxle.com/2009/07/08/section-44-in-chatham-high-street/

#15yrsago New ebook publisher from publishing veterans with novel ideas https://web.archive.org/web/20090715095849/http://www.crainsnewyork.com/article/20090712/SMALLBIZ/307129981

#10yrsago Ocala, FL criminalizes sagging pants https://web.archive.org/web/20140723182151/https://www.wftv.com/news/news/local/ocala-bans-sagging-pants-city-owned-property/nghFj/

#10yrsago Infamous SF “eviction” lawfirm abuses DMCA to censor video of protest https://web.archive.org/web/20140723193431/http://sfappeal.com/2014/07/infamous-sf-eviction-lawyers-use-dmca-claim-to-silence-protest-video/

#10yrsago UOregon police kept a “Eat a Bowl of Dicks List” for their enemies https://www.techdirt.com/2014/07/21/cops-wrong-firing-lawsuit-leads-to-public-release-vulgarly-titled-enemies-list/

#10yrsago California Highway Patrol seize medical records of woman beaten by cop https://www.techdirt.com/2014/07/21/california-highway-patrol-seizes-medical-records-woman-officer-was-caught-tape-beating/

#10yrsago Florida principal broke rules by cancelling summer read of Little Brother https://www.pnj.com/story/news/education/2014/07/21/thomas-policy-followed-little-brother-dispute/12957445/

#5yrsago Podcast: Adversarial Interoperability is Judo for Network Effects https://ia903006.us.archive.org/6/items/Cory_Doctorow_Podcast_304/Cory_Doctorow_Podcast_304_-_Adversarial_Interoperability_is_Judo_for_Network_Effects.mp3

#5yrsago Violent mobs of alleged Triad gangsters dole out savage beatings to Hong Kong democracy protesters, cops nowhere to be found https://globalvoices.org/2019/07/22/armed-mobs-attack-anti-extradition-protesters-in-a-suburban-hong-kong-subway-station/

#5yrsago FBI agent describes finding “Frankensteins” and a “cooler full of penises” at an unregulated Arizona body-donation center https://www.azcentral.com/story/news/local/arizona-health/2019/07/19/cooler-penises-frankenstein-head-found-phoenix-body-donation-company/1720254001/

#5yrsago Nebraska Weather Service commemorates climate emergency by baking biscuits inside a hot car https://twitter.com/NWSOmaha/status/1151879325257535488

#5yrsago Louvre purges every mention of the Sackler opioid family after artist’s protest https://www.france24.com/en/20190721-sackler-name-removed-louvre-opioid-crisis-france?ref=tw_i

#5yrsago Elizabeth Warren’s banking proposals are designed to demolish the private equity sector and force finance to serve the people https://thereformedbroker.com/2019/07/21/elizabeth-warrens-banking-sector-napalm/

[erasure-picnic]

One of Erasure’s most striking album covers is the one for Chorus (1991). How did the concept come about, and what do the images represent? If you’d like to know the story, keep reading.

The album covers vary by country and format, but in all cases, their heads are lit up in pink, and you can see the insides of their brains in vibrant technicolour. These visual concepts came from the group. After five years together, Clarke and Bell were feeling more connected than ever, and were looking to represent the strength of their bond in different ways. Andy Bell had wanted to capture their “auras” in photographs, and Vince Clarke was interested in illustrating the “electricity” generated between the two of them. 

To start off, Monica Curtin photographed the band members’ heads in silhouette, and they had brain scans done (the liner notes actually give thanks to the MRI Centre in London!). Clarke told Details magazine that he wanted to see “who had the biggest one”. And who did? According to Bell, they were “dead equal.”

When came time to assemble the cover, the designers (Me Company) made use of many innovative techniques. In a brilliant article for Classic Pop, designer Siân Cook–who was working for the Me Company at the time–explained the process. “The coloured areas inside the heads were colour photocopy collages, while the pink/purple auras around the outside of the heads were taken from images of Kirlian plant photography which were manipulated and wrapped around the silhouettes.” The medical theme was carried through in other ways; the subtle “e” pattern on the album cover and liner notes was “inspired by medicine packaging.”

In the liner notes, there are several stock images of happy, photogenic people enjoying their lives. Cook said that these photos referenced “big pharma promo brochures”. Andy Bell had more to add: “these pictures are Corporate America, or Corporate Anywhere”. To him, they represented a lifestyle that people were supposed to aspire to - which was a “farce”. If they were real, he joked, they’d feature “ugly people–like us!”

SOURCES:

Bardin, Brantley. “Erasure.” Details, Nov. 1991, p. 129. 

Chorus, 1991. Retrieved via the Internet Archive.

Dineley, Andrew. “Pop Art: Vince Clarke.” Classic Pop, Mar. 2021. Web article accessed 3 Aug. 2023. 

“Erasure Interview by Verónica Castro (La Movida, Mexico, 1991) .” La Movida, 1991, https://www.youtube.com/watch?v=dZ46ykCUbkQ. Video uploaded by bwlvideo on YouTube. Accessed 3 Aug. 2023. 

[andmaybegayer]

latest Freddie DeBoer seems odd. It's very focused on a sort of consumer-facing understanding of technology for a lot of its runtime. He's not wrong that the changes are smaller than they were in the 1800's but like. That's the low hanging fruit, we all know this, the jump from "not having trains" to "having trains" beats almost any improvement in "trains"

A major change technology has brought to the modern world imo is heavily streamlined manufacturing all across the industrial stack.

If you read like, Bunie Huang's Made in China blog series, in the early 2000's getting a piece of technology made required enormous in-person investment of time and effort working with your manufacturing teams across a pretty broad number of suppliers and industries, you had to get PCB's made, components sourced, moulds designed and set up for injection.

I know people manufacturing small to medium run commercial and industrial electronics, and I did that at my last job. You order machine populated PCB's from your favourite Chinese PCB solutions provider over a web form. If you need ten thousand buttons, you can get that delivered with three emails. Hell, if you want a custom genome to use for some experimental bioreactor, there's multiple competing suppliers who will mail you plasmids that you can customise from online templates and you don't even have to talk to anyone.

And that's just mass manufacturing. If you're making a few thousand of some high end medical equipment, or still in the development phase of design, you can order a titanium laser print to be delivered by the end of the week, or run off a dozen prototypes on your company's fleet of printers using body safe plastics.

Consumer needs don't change much because people are people, we have limited capacity to need things and do things. I've long said that no human can digest more than 50Mbps of media in real time, really. One home cook can only economise their movements so much. A food processor and a pressure cooker can save you some time but the solution to"I want to spend less time cooking at home" will eventually become "don't cook at home, lean on industrial manufacturing of food" and that's fine. There's only so much tech can improve your individual experience before you become the bottleneck.

Faster computers sure, means you can edit video on your phone a little quicker (also hey people ARE editing video on their phone, despite what this blog post says) but it also means Netflix can serve their 4 Petabytes of video library at 400+Gbps from a single server occupying less than 50 liters of space.

It seems disingenuous to act like consumer products feeling stagnant means technology is stagnant.

[vocisllc]

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