#How AI automates business tasks

[widedevsolution1]

AI Tools That Will Replace 80% of Your Work in 2025

In today’s fast-evolving digital landscape, artificial intelligence is not just a trend — it’s a transformative force that’s reshaping how businesses operate. From automating repetitive tasks to boosting decision-making, AI tools are now capable of replacing up to 80% of the routine work done by humans. For business owners, freelancers, and teams, this means more time for strategy, creativity, and growth.

In this guide, we’ll explore the top AI productivity tools in 2025 that can help automate your daily workflow, increase efficiency, and keep you ahead of the competition. Whether you’re a startup, agency, or enterprise, these tools — many of which are featured and integrated into WideDev Solution — will give you the edge you need in today’s AI-first world.

Why AI Is the New Workforce

Before diving into the tools, let’s understand why AI software for work automation is becoming indispensable:

Reduces manual workload by up to 80%

Increases productivity without increasing staff

Improves accuracy in tasks like data entry, writing, and analysis

Enhances scalability with fewer human bottlenecks

Whether you’re working solo or managing a team, AI-powered business tools are not replacing humans — they’re augmenting human capability.

Top AI Tools That Will Automate Your Workflow

1. ChatGPT by OpenAI – The Brain of Your Operations

ChatGPT is no longer just a chatbot. With its latest updates, it functions as a full-scale AI productivity assistant that can:

Write and summarize emails

Generate reports

Draft marketing content

Automate coding tasks

Why it matters: ChatGPT can manage a wide range of tasks across industries — from content marketing to software development. It integrates seamlessly with platforms like Slack, Notion, and Zapier.

Keyword to target: AI for daily business tasks

2. Notion AI – Your Smart Workspace

Notion AI enhances one of the most flexible productivity platforms with AI that:

Summarizes notes and documents

Drafts blogs and meeting minutes

Suggests task prioritization

Manages content calendars

Why it matters: Teams using Notion AI cut planning and content creation time by half. It’s especially valuable for digital marketers, content creators, and remote teams.

Keyword to target: AI content planning tool

3. Jasper – Your Marketing Team’s Best Friend

Jasper is a powerful AI copywriting tool used by marketing teams to write:

Blog posts

Product descriptions

Email campaigns

Ad copy

It supports multiple tones, languages, and styles, which makes it a favorite among agencies and eCommerce brands.

Why it matters: Instead of hiring multiple writers, Jasper can handle bulk content creation with minimal editing.

Keyword to target: AI content generator for marketers

4. GrammarlyGO – Write with Confidence

GrammarlyGO, the AI-enhanced version of Grammarly, now goes beyond grammar. It:

Suggests rewrites based on tone

Helps generate ideas from prompts

Personalizes writing style

Fixes clarity and conciseness

Why it matters: Business owners and teams can write with professional polish in less time.

Trending keyword: AI-powered writing assistant

5. Zapier + AI – Automate Repetitive Tasks Without Code

Zapier allows you to connect your apps and services to automate workflows. Now with AI integration, it:

Suggests automations (“Zaps”)

Uses natural language to create tasks

Connects with OpenAI for smarter workflows

Why it matters: You can automate lead generation, email follow-ups, task creation, and more — without writing a single line of code.

Keyword to target: no-code AI automation

6. Fireflies.ai – Meeting Notes Without the Headache

Fireflies.ai is a voice-to-text AI tool that automatically records, transcribes, and summarizes your meetings.

Best uses:

Team meetings

Sales calls

Online interviews

Why it matters: Fireflies saves hours every week by eliminating the need for manual note-taking.

Keyword to target: AI meeting transcription tool

7. Otter.ai – Real-Time Voice-to-Text AI

If you’re working in academia, journalism, or research, Otter.ai is a must-have. It:

Transcribes conversations live

Highlights keywords

Offers searchable transcripts

Identifies speakers automatically

Why it matters: Otter helps with documentation, compliance, and accessibility.

Keyword to target: real-time AI transcription

8. Midjourney – AI for Visual Content

Visual content creation often takes time and talent. Midjourney is an AI design tool that generates high-quality artwork, graphics, and illustrations using just text prompts.

Why it matters: Whether you’re building a website or launching a campaign, Midjourney cuts visual design time from days to minutes.

Keyword to target: AI graphic design tools

9. Reclaim AI – Smart Calendar Management

Reclaim AI helps you reclaim your time by intelligently scheduling meetings, breaks, and task blocks.

Key Features:

Auto-schedules tasks around your calendar

Protects deep work time

Syncs work/life balance

Why it matters: It ensures you always have time to actually get work done.

Keyword to target: AI calendar assistant

10. Trello + Butler AI – AI-Enhanced Project Management

Trello, with its Butler AI automation, allows users to create rule-based actions in project boards.

Auto-assign tasks

Create due date reminders

Trigger workflows based on card activity

Why it matters: It reduces the need for micromanagement and repetitive PM tasks.

Keyword to target: AI project management tool

Use AI Tools + WideDev Solution for the Ultimate Workflow

At WideDev Solution, we specialize in AI tool integration for businesses. Whether you need help automating internal processes or want to build custom AI solutions tailored to your operations, we can help you:

✅ Choose the best AI tools for business productivity ✅ Set up automation workflows ✅ Provide training and support ✅ Customize AI models for niche tasks

Want to see how much of your workflow you can automate? Let’s do an audit. Visit https://widedevsolution.com/ and explore our AI implementation services.

Final Thoughts: Don’t Compete With AI, Collaborate With It

Instead of fearing job displacement, think of AI tools as collaborators that give you superpowers. They let you focus on what really matters: strategy, creativity, and human connection.

The sooner you integrate AI work automation tools, the faster your business will grow — and the more time you’ll free up to innovate, build, and lead.

[nagentai]

Stay ahead with the latest trends in AI agents. Learn how these autonomous tools are reshaping industries, from finance to healthcare.

Discover how AI agents are transforming industries with intelligent automation, boosting efficiency, and enabling smarter decision-making in 2025 and beyond.

[mostlysignssomeportents]

Google is (still) losing the spam wars to zombie news-brands

I'm touring my new, nationally bestselling novel The Bezzle! Catch me TONIGHT (May 3) in CALGARY, then TOMORROW (May 4) in VANCOUVER, then onto Tartu, Estonia, and beyond!

Even Google admits – grudgingly – that it is losing the spam wars. The explosive proliferation of botshit has supercharged the sleazy "search engine optimization" business, such that results to common queries are 50% Google ads to spam sites, and 50% links to spam sites that tricked Google into a high rank (without paying for an ad):

https://developers.google.com/search/blog/2024/03/core-update-spam-policies#site-reputation

It's nice that Google has finally stopped gaslighting the rest of us with claims that its search was still the same bedrock utility that so many of us relied upon as a key piece of internet infrastructure. This not only feels wildly wrong, it is empirically, provably false:

https://downloads.webis.de/publications/papers/bevendorff_2024a.pdf

Not only that, but we know why Google search sucks. Memos released as part of the DOJ's antitrust case against Google reveal that the company deliberately chose to worsen search quality to increase the number of queries you'd have to make (and the number of ads you'd have to see) to find a decent result:

https://pluralistic.net/2024/04/24/naming-names/#prabhakar-raghavan

Google's antitrust case turns on the idea that the company bought its way to dominance, spending the some of the billions it extracted from advertisers and publishers to buy the default position on every platform, so that no one ever tried another search engine, which meant that no one would invest in another search engine, either.

Google's tacit defense is that its monopoly billions only incidentally fund these kind of anticompetitive deals. Mostly, Google says, it uses its billions to build the greatest search engine, ad platform, mobile OS, etc that the public could dream of. Only a company as big as Google (says Google) can afford to fund the R&D and security to keep its platform useful for the rest of us.

That's the "monopolistic bargain" – let the monopolist become a dictator, and they will be a benevolent dictator. Shriven of "wasteful competition," the monopolist can split their profits with the public by funding public goods and the public interest.

Google has clearly reneged on that bargain. A company experiencing the dramatic security failures and declining quality should be pouring everything it has to righting the ship. Instead, Google repeatedly blew tens of billions of dollars on stock buybacks while doing mass layoffs:

https://pluralistic.net/2024/02/21/im-feeling-unlucky/#not-up-to-the-task

Those layoffs have now reached the company's "core" teams, even as its core services continue to decay:

https://qz.com/google-is-laying-off-hundreds-as-it-moves-core-jobs-abr-1851449528

(Google's antitrust trial was shrouded in secrecy, thanks to the judge's deference to the company's insistence on confidentiality. The case is moving along though, and warrants your continued attention:)

https://www.thebignewsletter.com/p/the-2-trillion-secret-trial-against

Google wormed its way into so many corners of our lives that its enshittification keeps erupting in odd places, like ordering takeout food:

https://pluralistic.net/2023/02/24/passive-income/#swiss-cheese-security

Back in February, Housefresh – a rigorous review site for home air purifiers – published a viral, damning account of how Google had allowed itself to be overrun by spammers who purport to provide reviews of air purifiers, but who do little to no testing and often employ AI chatbots to write automated garbage:

https://housefresh.com/david-vs-digital-goliaths/

In the months since, Housefresh's Gisele Navarro has continued to fight for the survival of her high-quality air purifier review site, and has received many tips from insiders at the spam-farms and Google, all of which she recounts in a followup essay:

https://housefresh.com/how-google-decimated-housefresh/

One of the worst offenders in spam wars is Dotdash Meredith, a content-farm that "publishes" multiple websites that recycle parts of each others' content in order to climb to the top search slots for lucrative product review spots, which can be monetized via affiliate links.

A Dotdash Meredith insider told Navarro that the company uses a tactic called "keyword swarming" to push high-quality independent sites off the top of Google and replace them with its own garbage reviews. When Dotdash Meredith finds an independent site that occupies the top results for a lucrative Google result, they "swarm a smaller site’s foothold on one or two articles by essentially publishing 10 articles [on the topic] and beefing up [Dotdash Meredith sites’] authority."

Dotdash Meredith has keyword swarmed a large number of topics. from air purifiers to slow cookers to posture correctors for back-pain:

https://housefresh.com/wp-content/uploads/2024/05/keyword-swarming-dotdash.jpg

The company isn't shy about this. Its own shareholder communications boast about it. What's more, it has competition.

Take Forbes, an actual news-site, which has a whole shadow-empire of web-pages reviewing products for puppies, dogs, kittens and cats, all of which link to high affiliate-fee-generating pet insurance products. These reviews are not good, but they are treasured by Google's algorithm, which views them as a part of Forbes's legitimate news-publishing operation and lets them draft on Forbes's authority.

This side-hustle for Forbes comes at a cost for the rest of us, though. The reviewers who actually put in the hard work to figure out which pet products are worth your money (and which ones are bad, defective or dangerous) are crowded off the front page of Google and eventually disappear, leaving behind nothing but semi-automated SEO garbage from Forbes:

https://twitter.com/ichbinGisele/status/1642481590524583936

There's a name for this: "site reputation abuse." That's when a site perverts its current – or past – practice of publishing high-quality materials to trick Google into giving the site a high ranking. Think of how Deadspin's private equity grifter owners turned it into a site full of casino affiliate spam:

https://www.404media.co/who-owns-deadspin-now-lineup-publishing/

The same thing happened to the venerable Money magazine:

https://moneygroup.pr/

Money is one of the many sites whose air purifier reviews Google gives preference to, despite the fact that they do no testing. According to Google, Money is also a reliable source of information on reprogramming your garage-door opener, buying a paint-sprayer, etc:

https://money.com/best-paint-sprayer/

All of this is made ten million times worse by AI, which can spray out superficially plausible botshit in superhuman quantities, letting spammers produce thousands of variations on their shitty reviews, flooding the zone with bullshit in classic Steve Bannon style:

https://escapecollective.com/commerce-content-is-breaking-product-reviews/

As Gizmodo, Sports Illustrated and USA Today have learned the hard way, AI can't write factual news pieces. But it can pump out bullshit written for the express purpose of drafting on the good work human journalists have done and tricking Google – the search engine 90% of us rely on – into upranking bullshit at the expense of high-quality information.

A variety of AI service bureaux have popped up to provide AI botshit as a service to news brands. While Navarro doesn't say so, I'm willing to bet that for news bosses, outsourcing your botshit scams to a third party is considered an excellent way of avoiding your journalists' wrath. The biggest botshit-as-a-service company is ASR Group (which also uses the alias Advon Commerce).

Advon claims that its botshit is, in fact, written by humans. But Advon's employees' Linkedin profiles tell a different story, boasting of their mastery of AI tools in the industrial-scale production of botshit:

https://housefresh.com/wp-content/uploads/2024/05/Advon-AI-LinkedIn.jpg

Now, none of this is particularly sophisticated. It doesn't take much discernment to spot when a site is engaged in "site reputation abuse." Presumably, the 12,000 googlers the company fired last year could have been employed to check the top review keyword results manually every couple of days and permaban any site caught cheating this way.

Instead, Google is has announced a change in policy: starting May 5, the company will downrank any site caught engaged in site reputation abuse. However, the company takes a very narrow view of site reputation abuse, limiting punishments to sites that employ third parties to generate or uprank their botshit. Companies that produce their botshit in-house are seemingly not covered by this policy.

As Navarro writes, some sites – like Forbes – have prepared for May 5 by blocking their botshit sections from Google's crawler. This can't be their permanent strategy, though – either they'll have to kill the section or bring it in-house to comply with Google's rules. Bringing things in house isn't that hard: US News and World Report is advertising for an SEO editor who will publish 70-80 posts per month, doubtless each one a masterpiece of high-quality, carefully researched material of great value to Google's users:

https://twitter.com/dannyashton/status/1777408051357585425

As Navarro points out, Google is palpably reluctant to target the largest, best-funded spammers. Its March 2024 update kicked many garbage AI sites out of the index – but only small bottom-feeders, not large, once-respected publications that have been colonized by private equity spam-farmers.

All of this comes at a price, and it's only incidentally paid by legitimate sites like Housefresh. The real price is borne by all of us, who are funneled by the 90%-market-share search engine into "review" sites that push low quality, high-price products. Housefresh's top budget air purifier costs $79. That's hundreds of dollars cheaper than the "budget" pick at other sites, who largely perform no original research.

Google search has a problem. AI botshit is dominating Google's search results, and it's not just in product reviews. Searches for infrastructure code samples are dominated by botshit code generated by Pulumi AI, whose chatbot hallucinates nonexistence AWS features:

https://www.theregister.com/2024/05/01/pulumi_ai_pollution_of_search/

This is hugely consequential: when these "hallucinations" slip through into production code, they create huge vulnerabilities for widespread malicious exploitation:

https://www.theregister.com/2024/03/28/ai_bots_hallucinate_software_packages/

We've put all our eggs in Google's basket, and Google's dropped the basket – but it doesn't matter because they can spend $20b/year bribing Apple to make sure no one ever tries a rival search engine on Ios or Safari:

https://finance.yahoo.com/news/google-payments-apple-reached-20-220947331.html

Google's response – laying off core developers, outsourcing to low-waged territories with weak labor protections and spending billions on stock buybacks – presents a picture of a company that is too big to care:

https://pluralistic.net/2024/04/04/teach-me-how-to-shruggie/#kagi

Google promised us a quid-pro-quo: let them be the single, authoritative portal ("organize the world’s information and make it universally accessible and useful"), and they will earn that spot by being the best search there is:

https://www.ft.com/content/b9eb3180-2a6e-41eb-91fe-2ab5942d4150

But – like the spammers at the top of its search result pages – Google didn't earn its spot at the center of our digital lives.

It cheated.

If you'd like an essay-formatted version of this post to read or share, here's a link to it on pluralistic.net, my surveillance-free, ad-free, tracker-free blog:

https://pluralistic.net/2024/05/03/keyword-swarming/#site-reputation-abuse

Image: freezelight (modified) https://commons.wikimedia.org/wiki/File:Spam_wall_-_Flickr_-_freezelight.jpg

CC BY-SA 2.0 https://creativecommons.org/licenses/by-sa/2.0/deed.en

[optiblog]

OPTİVİSER - GOLD

Welcome to Optiviser.com, your ultimate guide to navigating the complex world of electronics in 2024. As technology continues to evolve at a rapid pace, finding the right devices that suit your needs can be overwhelming. In this blog post, we’ll harness the power of AI to help you make informed choices with our comprehensive electronics comparison. We’ll take a closer look at the top smart home devices that are revolutionizing how we live and work, providing convenience and efficiency like never before. Additionally, we’ll offer expert laptop recommendations tailored to various lifestyles and budgets, ensuring you find the perfect match for your daily tasks. 

AI-powered Electronics Comparison

In today's fast-paced technological landscape, making informed choices about electronics can be overwhelming. An AI-powered Electronics Comparison tool can help streamline this process by providing insights that cater to specific user needs. These advanced tools utilize algorithms that analyze product features, specifications, and user reviews, resulting in a tailored recommendation for buyers.

As we delve into the world of consumer technology, it's important to highlight the Top Smart Home Devices 2024. From smart thermostats to security cameras, these devices are becoming essential for modern households. They not only enhance convenience but also significantly improve energy efficiency and home safety.

For those looking for a new computer to enhance productivity or gaming experiences, consider checking out the latest Laptop Recommendations. Many platforms, including Optiviser.com, provide comprehensive comparisons and insights that can help consumers choose the best laptop suited to their needs, whether it’s for work, study, or leisure.

Top Smart Home Devices 2024

As we move into 2024, the landscape of home automation is evolving rapidly, showcasing an array of innovative gadgets designed to enhance comfort and convenience. In this era of AI-powered Electronics Comparison, selecting the right devices can be overwhelming, but we've highlighted some of the best Top Smart Home Devices 2024 that stand out for their functionality and user experience.

One of the most impressive innovations for this year is the latest AI-powered home assistant. These devices not only respond to voice commands but also learn your preferences over time, allowing them to offer personalized suggestions and perform tasks proactively. Imagine a device that can monitor your schedule and automatically adjust your home's temperature and lighting accordingly!

Moreover, security remains a top priority in smart homes. The Top Smart Home Devices 2024 include state-of-the-art security cameras and smart locks that provide robust protection while ensuring ease of access. With features like remote monitoring through your smartphone or integration with smart doorbells, keeping your home safe has never been easier. For more details on the comparisons and recommendations of these devices, you can check out Optiviser.com.

Laptop Recommendation

In today's fast-paced world, choosing the right laptop can be a daunting task. With numerous options available in the market, it's essential to consider various factors such as performance, portability, and price. At Optiviser.com, we provide an insightful guide to help you navigate through the vast array of choices. To streamline your decision-making process, we have developed an AI-powered Electronics Comparison tool that allows you to compare specifications and features of different laptops side by side.

This year, we have seen a surge in innovative laptops that cater to diverse needs. Whether for gaming, business, or everyday use, our top recommendations include models that excel in battery life, processing power, and display quality. For instance, consider the latest models from top brands, which have integrated the best features of Top Smart Home Devices 2024 trends, ensuring seamless connectivity and advanced functionalities.

Additionally, if you're looking for a laptop that can handle multitasking effortlessly, we suggest models equipped with the latest processors and ample RAM. Our detailed Laptop Recommendation section on Optiviser.com includes expert reviews and user feedback to help you choose a laptop that not only fits your budget but also meets your specific requirements.

[ralfmaximus]

A month later, the business introduced an automated system. Miller's manager would plug a headline for an article into an online form, an AI model would generate an outline based on that title, and Miller would get an alert on his computer. Instead of coming up with their own ideas, his writers would create articles around those outlines, and Miller would do a final edit before the stories were published. Miller only had a few months to adapt before he got news of a second layer of automation. Going forward, ChatGPT would write the articles in their entirety, and most of his team was fired. The few people remaining were left with an even less creative task: editing ChatGPT's subpar text to make it sound more human. By 2024, the company laid off the rest of Miller's team, and he was alone.

Hell world.

The article flips back and forth between Welcome To The Torment Nexus / Isn't This Technology Neat?! modes which is infuriating. The BBC is obviously wary of pissing off its ChatGPT friendly advertisers but c'mon dudes, pick a side.

There's also a section dripping with irony describing how this AI-generated copywriter output trips the company's own AI-detection algorithms, triggering rewrites to make it "less AI". Which while (oh my aching sides) is fuckin hilarious also underlines the core problem with the whole approach: the actual text output is garbage.

Humans do not like reading garbage.

Eventually the only ones reading this shit will be AI systems designed to summarize badly written copywritten text.

[sunshinesmebdy]

Pluto in Aquarius: Brace for a Business Revolution (and How to Ride the Wave)

The Aquarian Revolution

Get ready, entrepreneurs and financiers, because a seismic shift is coming. Pluto, the planet of transformation and upheaval, has just entered the progressive sign of Aquarius, marking the beginning of a 20-year period that will reshape the very fabric of business and finance. Buckle up, for this is not just a ripple – it's a tsunami of change. Imagine a future where collaboration trumps competition, sustainability dictates success, and technology liberates rather than isolates. Aquarius, the sign of innovation and humanitarianism, envisions just that. Expect to see:

Rise of social impact businesses

Profits won't be the sole motive anymore. Companies driven by ethical practices, environmental consciousness, and social good will gain traction. Aquarius is intrinsically linked to collective well-being and social justice. Under its influence, individuals will value purpose-driven ventures that address crucial societal issues. Pluto urges us to connect with our deeper selves and find meaning beyond material gains. This motivates individuals to pursue ventures that resonate with their personal values and make a difference in the world.

Examples of Social Impact Businesses

Sustainable energy companies: Focused on creating renewable energy solutions while empowering local communities.

Fair-trade businesses: Ensuring ethical practices and fair wages for producers, often in developing countries.

Social impact ventures: Addressing issues like poverty, education, and healthcare through innovative, community-driven approaches.

B corporations: Certified businesses that meet rigorous social and environmental standards, balancing profit with purpose.

Navigating the Pluto in Aquarius Landscape

Align your business with social impact: Analyze your core values and find ways to integrate them into your business model.

Invest in sustainable practices: Prioritize environmental and social responsibility throughout your operations.

Empower your employees: Foster a collaborative environment where everyone feels valued and contributes to the social impact mission.

Build strong community partnerships: Collaborate with organizations and communities that share your goals for positive change.

Embrace innovation and technology: Utilize technology to scale your impact and reach a wider audience.

Pluto in Aquarius presents a thrilling opportunity to redefine the purpose of business, moving beyond shareholder value and towards societal well-being. By aligning with the Aquarian spirit of innovation and collective action, social impact businesses can thrive in this transformative era, leaving a lasting legacy of positive change in the world.

Tech-driven disruption

AI, automation, and blockchain will revolutionize industries, from finance to healthcare. Be ready to adapt or risk getting left behind. Expect a focus on developing Artificial Intelligence with ethical considerations and a humanitarian heart, tackling issues like healthcare, climate change, and poverty alleviation. Immersive technologies will blur the lines between the physical and digital realms, transforming education, communication, and entertainment. Automation will reshape the job market, but also create opportunities for new, human-centered roles focused on creativity, innovation, and social impact.

Examples of Tech-Driven Disruption:

Decentralized social media platforms: User-owned networks fueled by blockchain technology, prioritizing privacy and community over corporate profits.

AI-powered healthcare solutions: Personalized medicine, virtual assistants for diagnostics, and AI-driven drug discovery.

VR/AR for education and training: Immersive learning experiences that transport students to different corners of the world or historical periods.

Automation with a human touch: Collaborative robots assisting in tasks while freeing up human potential for creative and leadership roles.

Navigating the Technological Tsunami:

Stay informed and adaptable: Embrace lifelong learning and upskilling to stay relevant in the evolving tech landscape.

Support ethical and sustainable tech: Choose tech products and services aligned with your values and prioritize privacy and social responsibility.

Focus on your human advantage: Cultivate creativity, critical thinking, and emotional intelligence to thrive in a world increasingly reliant on technology.

Advocate for responsible AI development: Join the conversation about ethical AI guidelines and ensure technology serves humanity's best interests.

Connect with your community: Collaborate with others to harness technology for positive change and address the potential challenges that come with rapid technological advancements.

Pluto in Aquarius represents a critical juncture in our relationship with technology. By embracing its disruptive potential and focusing on ethical development and collective benefit, we can unlock a future where technology empowers humanity and creates a more equitable and sustainable world. Remember, the choice is ours – will we be swept away by the technological tsunami or ride its wave towards a brighter future?

Decentralization and democratization

Power structures will shift, with employees demanding more autonomy and consumers seeking ownership through blockchain-based solutions. Traditional institutions, corporations, and even governments will face challenges as power shifts towards distributed networks and grassroots movements. Individuals will demand active involvement in decision-making processes, leading to increased transparency and accountability in all spheres. Property and resources will be seen as shared assets, managed sustainably and equitably within communities. This transition won't be without its bumps. We'll need to adapt existing legal frameworks, address digital divides, and foster collaboration to ensure everyone benefits from decentralization.

Examples of Decentralization and Democratization

Decentralized autonomous organizations (DAOs): Self-governing online communities managing shared resources and projects through blockchain technology.

Community-owned renewable energy initiatives: Local cooperatives generating and distributing clean energy, empowering communities and reducing reliance on centralized grids.

Participatory budgeting platforms: Citizens directly allocate local government funds, ensuring public resources are used in line with community needs.

Decentralized finance (DeFi): Peer-to-peer lending and borrowing platforms, bypassing traditional banks and offering greater financial autonomy for individuals.

Harnessing the Power of the Tide:

Embrace collaborative models: Participate in co-ops, community projects, and initiatives that empower collective ownership and decision-making.

Support ethical technology: Advocate for blockchain platforms and applications that prioritize user privacy, security, and equitable access.

Develop your tech skills: Learn about blockchain, cryptocurrencies, and other decentralized technologies to navigate the future landscape.

Engage in your community: Participate in local decision-making processes, champion sustainable solutions, and build solidarity with others.

Stay informed and adaptable: Embrace lifelong learning and critical thinking to navigate the evolving social and economic landscape.

Pluto in Aquarius presents a unique opportunity to reimagine power structures, ownership models, and how we interact with each other. By embracing decentralization and democratization, we can create a future where individuals and communities thrive, fostering a more equitable and sustainable world for all. Remember, the power lies within our collective hands – let's use it wisely to shape a brighter future built on shared ownership, collaboration, and empowered communities.

Focus on collective prosperity

Universal basic income, resource sharing, and collaborative economic models may gain momentum. Aquarius prioritizes the good of the collective, advocating for equitable distribution of resources and opportunities. Expect a rise in social safety nets, universal basic income initiatives, and policies aimed at closing the wealth gap. Environmental health is intrinsically linked to collective prosperity. We'll see a focus on sustainable practices, green economies, and resource sharing to ensure a thriving planet for generations to come. Communities will come together to address social challenges like poverty, homelessness, and healthcare disparities, recognizing that individual success is interwoven with collective well-being. Collaborative consumption, resource sharing, and community-owned assets will gain traction, challenging traditional notions of ownership and fostering a sense of shared abundance.

Examples of Collective Prosperity in Action

Community-owned renewable energy projects: Sharing the benefits of clean energy production within communities, democratizing access and fostering environmental sustainability.

Cooperatives and worker-owned businesses: Sharing profits and decision-making within companies, leading to greater employee satisfaction and productivity.

Universal basic income initiatives: Providing individuals with a basic safety net, enabling them to pursue their passions and contribute to society in meaningful ways.

Resource sharing platforms: Platforms like carsharing or tool libraries minimizing individual ownership and maximizing resource utilization, fostering a sense of interconnectedness.

Navigating the Shift

Support social impact businesses: Choose businesses that prioritize ethical practices, environmental sustainability, and positive social impact.

Contribute to your community: Volunteer your time, skills, and resources to address local challenges and empower others.

Embrace collaboration: Seek opportunities to work together with others to create solutions for shared problems.

Redefine your own path to prosperity: Focus on activities that bring you personal fulfillment and contribute to the collective good.

Advocate for systemic change: Support policies and initiatives that promote social justice, environmental protection, and equitable distribution of resources.

Pluto in Aquarius offers a unique opportunity to reshape our definition of prosperity and build a future where everyone thrives. By embracing collective well-being, collaboration, and sustainable practices, we can create a world where abundance flows freely, enriching not just individuals, but the entire fabric of society. Remember, true prosperity lies not in what we hoard, but in what we share, and by working together, we can cultivate a future where everyone has the opportunity to flourish.

[mariacallous]

A young entrepreneur who was among the earliest known recruiters for Elon Musk’s so-called Department of Government Efficiency (DOGE) has a new, related gig—and he’s hiring. Anthony Jancso, cofounder of AccelerateX, a government tech startup, is looking for technologists to work on a project that aims to have artificial intelligence perform tasks that are currently the responsibility of tens of thousands of federal workers.

Jancso, a former Palantir employee, wrote in a Slack with about 2000 Palantir alumni in it that he’s hiring for a “DOGE orthogonal project to design benchmarks and deploy AI agents across live workflows in federal agencies,” according to an April 21 post reviewed by WIRED. Agents are programs that can perform work autonomously.

“We’ve identified over 300 roles with almost full-process standardization, freeing up at least 70k FTEs for higher-impact work over the next year,” he continued, essentially claiming that tens of thousands of federal employees could see many aspects of their job automated and replaced by these AI agents. Workers for the project, he wrote, would be based on site in Washington, DC, and would not require a security clearance; it isn’t clear for whom they would work. Palantir did not respond to requests for comment.

The post was not well received. Eight people reacted with clown face emojis, three reacted with a custom emoji of a man licking a boot, two reacted with custom emoji of Joaquin Phoenix giving a thumbs down in the movie Gladiator, and three reacted with a custom emoji with the word “Fascist.” Three responded with a heart emoji.

“DOGE does not seem interested in finding ‘higher impact work’ for federal employees,” one person said in a comment that received 11 heart reactions. “You’re complicit in firing 70k federal employees and replacing them with shitty autocorrect.”

“Tbf we’re all going to be replaced with shitty autocorrect (written by chatgpt),” another person commented, which received one “+1” reaction.

“How ‘DOGE orthogonal’ is it? Like, does it still require Kremlin oversight?” another person said in a comment that received five reactions with a fire emoji. “Or do they just use your credentials to log in later?”

Got a Tip?Are you a current or former government employee who wants to talk about what's happening? We'd like to hear from you. Using a nonwork phone or computer, contact the reporter securely on Signal at carolinehaskins.61 and vittoria89.82.

AccelerateX was originally called AccelerateSF, which VentureBeat reported in 2023 had received support from OpenAI and Anthropic. In its earliest incarnation, AccelerateSF hosted a hackathon for AI developers aimed at using the technology to solve San Francisco’s social problems. According to a 2023 Mission Local story, for instance, Jancso proposed that using large language models to help businesses fill out permit forms to streamline the construction paperwork process might help drive down housing prices. (OpenAI did not respond to a request for comment. Anthropic spokesperson Danielle Ghiglieri tells WIRED that the company "never invested in AccelerateX/SF,” but did sponsor a hackathon AccelerateSF hosted in 2023 by providing free access to its API usage at a time when its Claude API “was still in beta.”)

In 2024, the mission pivoted, with the venture becoming known as AccelerateX. In a post on X announcing the change, the company posted, “Outdated tech is dragging down the US Government. Legacy vendors sell broken systems at increasingly steep prices. This hurts every American citizen.” AccelerateX did not respond to a request for comment.

According to sources with direct knowledge, Jancso disclosed that AccelerateX had signed a partnership agreement with Palantir in 2024. According to the LinkedIn of someone described as one of AccelerateX’s cofounders, Rachel Yee, the company looks to have received funding from OpenAI’s Converge 2 Accelerator. Another of AccelerateSF’s cofounders, Kay Sorin, now works for OpenAI, having joined the company several months after that hackathon. Sorin and Yee did not respond to requests for comment.

Jancso’s cofounder, Jordan Wick, a former Waymo engineer, has been an active member of DOGE, appearing at several agencies over the past few months, including the Consumer Financial Protection Bureau, National Labor Relations Board, the Department of Labor, and the Department of Education. In 2023, Jancso attended a hackathon hosted by ScaleAI; WIRED found that another DOGE member, Ethan Shaotran, also attended the same hackathon.

Since its creation in the first days of the second Trump administration, DOGE has pushed the use of AI across agencies, even as it has sought to cut tens of thousands of federal jobs. At the Department of Veterans Affairs, a DOGE associate suggested using AI to write code for the agency’s website; at the General Services Administration, DOGE has rolled out the GSAi chatbot; the group has sought to automate the process of firing government employees with a tool called AutoRIF; and a DOGE operative at the Department of Housing and Urban Development is using AI tools to examine and propose changes to regulations. But experts say that deploying AI agents to do the work of 70,000 people would be tricky if not impossible.

A federal employee with knowledge of government contracting, who spoke to WIRED on the condition of anonymity because they were not authorized to speak to the press, says, “A lot of agencies have procedures that can differ widely based on their own rules and regulations, and so deploying AI agents across agencies at scale would likely be very difficult.”

Oren Etzioni, cofounder of the AI startup Vercept, says that while AI agents can be good at doing some things—like using an internet browser to conduct research—their outputs can still vary widely and be highly unreliable. For instance, customer service AI agents have invented nonexistent policies when trying to address user concerns. Even research, he says, requires a human to actually make sure what the AI is spitting out is correct.

“We want our government to be something that we can rely on, as opposed to something that is on the absolute bleeding edge,” says Etzioni. “We don't need it to be bureaucratic and slow, but if corporations haven't adopted this yet, is the government really where we want to be experimenting with the cutting edge AI?”

Etzioni says that AI agents are also not great 1-1 fits for job replacements. Rather, AI is able to do certain tasks or make others more efficient, but the idea that the technology could do the jobs of 70,000 employees would not be possible. “Unless you're using funny math,” he says, “no way.”

Jancso, first identified by WIRED in February, was one of the earliest recruiters for DOGE in the months before Donald Trump was inaugurated. In December, Jancso, who sources told WIRED said he had been recruited by Steve Davis, president of the Musk-founded Boring Company and a current member of DOGE, used the Palantir alumni group to recruit DOGE members. On December 2nd, 2024, he wrote, “I’m helping Elon’s team find tech talent for the Department of Government Efficiency (DOGE) in the new admin. This is a historic opportunity to build an efficient government, and to cut the federal budget by 1/3. If you’re interested in playing a role in this mission, please reach out in the next few days.”

According to one source at SpaceX, who asked to remain anonymous as they are not authorized to speak to the press, Jancso appeared to be one of the DOGE members who worked out of the company’s DC office in the days before inauguration along with several other people who would constitute some of DOGE’s earliest members. SpaceX did not respond to a request for comment.

Palantir was cofounded by Peter Thiel, a billionaire and longtime Trump supporter with close ties to Musk. Palantir, which provides data analytics tools to several government agencies including the Department of Defense and the Department of Homeland Security, has received billions of dollars in government contracts. During the second Trump administration, the company has been involved in helping to build a “mega API” to connect data from the Internal Revenue Service to other government agencies, and is working with Immigration and Customs Enforcement to create a massive surveillance platform to identify immigrants to target for deportation.

[sageofsunbloom]

Is AI fr gonna steal our jobs?

Disclaimer: This post is mostly speculative and meant to encourage discussion and different perspectives on the topic.

Some time ago, I along with many others thought that AI was mostly going to aid in all the task centered, administrative, repetitive jobs. Cashiers, factory workers, call center workers, all the jobs that would benefit from automation were being taken over by AI.

When the ghibli trend came around, it was a guttural shock to many artists.

What used to generate questionable and bad looking art has now developed and is transitioning to generating high quality pieces, videos, music, animation and what not. In a matter of mere months. [AI tools example: midjourney, DALL-E, ChatGPT]

Art is not simply something pretty to look at. It is the accumulation of experiences, emotions and essense of humans. Art is their unique expression and the lens with which they see the world.

This blog is not an argument against the use of AI for art, but a call to understand what it really means.

Did most people see it coming when AI mimicked it with precision?

How long before it starts mimicking creativity, intuition, emotion and depth, all of what we thought was deeply and uniquely human?

"AI works by learning from lots of information, recognizing patterns, and using that knowledge to make decisions or do tasks like a human would." - Chatgpt.

Some time ago, the dominant argument was that AI might be able copy the strokes of a painting, the words of a novel. But it cannot hold the hands of another human and tell them all was well, it cannot feel and experience the real world like us, it cannot connect with humans and it cant innovate and envision new solutions.

If you still believe this, I urge you to go to chatgpt right now and open up to it like it was your friend. It will provide consolidation and advice tailored so well to your individual behaviours that it might feel better than talking to your bestfriend.

What is a deep neurological, experience based and emotional reaction to us is simply just analysis and application of data and patterns to AI. And the difference? Not easily distinguishable to the average human.

As long as the end result is not compromised, it doesnt matter to client and employers whether the process was human or not. Efficiency is often prioritized above substance. And now even substance is being mimicked.

Currently, the prominent discussion online is that in order to improve your job security, we need to master AI tools. Instead of fighting for stability(which is nothing but an illusion now) we need to ride the waves of the new age flooding towards us, and work with Ai instead of fighting against the change.

But the paradox is, the more we use AI the quicker it will learn from us, the quicker it will reduce the need for human guidance and supervision, and the quicker it will replace us.

Times are moving fast. We need everyone to be aware of the rate at which the world is changing and the things that are going on beneath the surface. If we simply take information at face value and avoid research, give it a few years or even months of time, and noone will know what hit us.

"Use of generative AI increased from 33% in 2023 to 71% in 2024. Use of AI by business function for the latest data varied from 36% in IT to 12% in manufacturing. Use of gen AI by business function for the latest data varied from 42% in marketing and sales to 5% in manufacturing."-Mckinsey, Mar 12, 2025.

By 2030, 14% of employees will have been forced to change their career because of- AI-McKinsey.

Since 2000, automation has resulted in 1.7 million manufacturing jobs being lost -BuiltIn

There is a radical change taking momentum right now. It's gonna be humans vs AI starting from the job aspect of the world.

Its not a matter of which jobs and skills are AI proof but which ones is AI likely to take over last.

What I predict personally, is that soon the world leaders are going to have to make a transformative choice.

This can either lead to a world where humans can be provided with money and resources instead of working to earn, as AI generates profit, and we can lay back and enjoy the things we love doing.

Or the other option is that we are going to have to live by scraps as small elite groups take over all the resources and tech.

Dystopia or utopia? The line is blurred.

Thankfully, for now, the choice is in human hands.

[marta-bee]

News of the Day 6/11/25: AI

Paywall free.

More seriously, from the NY Times:

"For Some Recent Graduates, the A.I. Job Apocalypse May Already Be Here" (Paywall Free)

You can see hints of this in the economic data. Unemployment for recent college graduates has jumped to an unusually high 5.8 percent in recent months, and the Federal Reserve Bank of New York recently warned that the employment situation for these workers had “deteriorated noticeably.” Oxford Economics, a research firm that studies labor markets, found that unemployment for recent graduates was heavily concentrated in technical fields like finance and computer science, where A.I. has made faster gains. [...] Using A.I. to automate white-collar jobs has been a dream among executives for years. (I heard them fantasizing about it in Davos back in 2019.) But until recently, the technology simply wasn’t good enough. You could use A.I. to automate some routine back-office tasks — and many companies did — but when it came to the more complex and technical parts of many jobs, A.I. couldn’t hold a candle to humans. That is starting to change, especially in fields, such as software engineering, where there are clear markers of success and failure. (Such as: Does the code work or not?) In these fields, A.I. systems can be trained using a trial-and-error process known as reinforcement learning to perform complex sequences of actions on their own. Eventually, they can become competent at carrying out tasks that would take human workers hours or days to complete.

I've been hearing my whole life how automation was coming for all our jobs. First it was giant robots replacing big burly men on factory assembly lines. Now it seems to be increasingly sophisticated bits of code coming after paper-movers like me. I'm not sure we're there yet, quite, but the NYT piece does make a compelling argument that we're getting close.

The real question is, why is this a bad thing? And the obvious answer is people need to support themselves, and every job cut is one less person who can do that. But what I really mean is, if we can get the outputs we need to live well with one less person having to put in a day's work to get there, what does it say about us that we haven't worked out a way to make that a good thing?

Put another way, how come we haven't worked out a better way to share resources and get everyone what they need to thrive when we honestly don't need as much labor-hours for them to "earn" it as we once did?

I don't have the solution, but if some enterprising progressive politician wants to get on that, they could do worse. I keep hearing how Democrats need bold new ideas directed to helping the working class.

More on the Coming AI-Job-Pocalypse

I’m a LinkedIn Executive. I See the Bottom Rung of the Career Ladder Breaking. (X)

Paul Krugman: “What Deindustrialization Can Teach Us About The Effects of AI on Workers” (X)

How AI agents are transforming work—and why human talent still matters (X)

AI agents will do programmers' grunt work (X)

At Amazon, Some Coders Say Their Jobs Have Begun to Resemble Warehouse Work (X)

Why Esther Perel is going all in on saving the American workforce in the age of AI

Junior analysts, beware: Your coveted and cushy entry-level Wall Street jobs may soon be eliminated by AI (X)

The biggest barrier to AI adoption in the business world isn’t tech – it’s user confidence  (X)

Experts predicted that artificial intelligence would steal radiology jobs. But at the Mayo Clinic, the technology has been more friend than foe. (X)

AI Will Devastate the Future of Work. But Only If We Let It (X)

AI in the workplace is nearly 3 times more likely to take a woman’s job as a man’s, UN report finds (X)

Klarna CEO predicts AI-driven job displacement will cause a recession (X)

& on AI Generally

19th-century Catholic teachings, 21st-century tech: How concerns about AI guided Pope Leo’s choice of name (X)

Will the Humanities Survive Artificial Intelligence? (X)

Two Paths for A.I. (X)

The Danger of Outsourcing Our Brains: Counting on AI to learn for us makes humans boring, awkward, and gullible. (X)

AI Is a Weapon Pointed at America. Our Best Defense Is Education. (X)

The Trump administration has asked artificial intelligence publishers to rebalance what it considers to be 'ideological bias' around actions like protecting minorities and banning hateful content. (X)

What is Google even for anymore? (X)

AI can spontaneously develop human-like communication, study finds

AI Didn’t Invent Desire, But It’s Rewiring Human Sex And Intimacy (X)

Mark Zuckerberg Wants AI to Solve America’s Loneliness Crisis. It Won’t. (X)

The growing environmental impact of AI data centers’ energy demands

Tesla Is Launching Robotaxis in Austin. Safety Advocates Are Concerned (X)

The One Big Beautiful Bill Act would ban states from regulating AI (X)

& on the Job-Pocalypse & Other Labor-Related Shenanigans Generally, Too

What Unions Face With Trump EOs (X)

AI may be exposing jobseekers to discrimination. Here’s how we could better protect them (X)

Jamie Dimon says he’s not against remote workers—but they ‘will not tell JPMorgan what to do’  (X)

Direct-selling schemes are considered fringe businesses, but their values have bled into the national economy. (X)

Are you "functionally unemployed"? Here's what the unemployment rate doesn't show. (X)

Being monitored at work? A new report calls for tougher workplace surveillance controls  (X)

Josh Hawley and the Republican Effort to Love Labor (X)

Karl Marx’s American Boom (X)

Hiring slows in U.S. amid uncertainty over Trump’s trade wars

Vanishing immigration is the ‘real story’ for the economy and a bigger supply shock than tariffs, analyst says (X)

[blubberquark]

AI FOMO

A lot of "AI" content these days – where "AI" means machine learning trained on a large corpus of unstructured natural language to solve no specific task, with a prompt-based developer interface to allow building applications for any and every problem domain and also none in particular – is driven by fear of missing out, or FOMO. I am talking about content about AI.

It's not driven by a genuine need for "AI", which, again in this case usually means ChatGPT or something similar. I am not happy about this, but it's the nomenclature they use. There is no urgent problem that could not be solved before, that AI has now solved. Content about AI is also not disseminating new expert knowledge about prompt engineering or training methods. It's about a vague sense of unease about possibly being "left behind" in a world where all your colleagues are writing their e-mails by just giving a prompt to ChatGPT and copying and pasting, or asking ChatGPT so summarise what that e-mail they just got said. It's driven by a fear that there is a lot of "value" left on the table for people who don't automate their e-mail job.

Maybe that is a real problem. Instead of AI generated bullshit getting 100% automated, like all those "shrimp Jesus" facebook bots I read so much about, many e-mail jobs can be basically automated by copying and pasting text between your e-mail program and a language model, but you still need a warm body in a chair somewhere.

Isn't this odd? Language models and AI assistants are marketed to people who aren't tech-savvy, to people who don't even need these systems, by people who don't know how these systems work either. The articles have headlines like Ten ways you can incorporate AI into your work day. It's ingenious. There is no promise that this will make your life easier. There is no indication that the people who wrote it are experts. It's critic-proofed. Even if AI doesn't solve your problem, even if it doesn't make sense, even if I don't know what the hell I am talking about, here are ten things you can do with ChatGPT. Because it's the future. It's what's coming. Whether you need it or not.

Once you see the pattern, you can't unsee it: Here's how we use ChatGPT in the classroom. Here's how we asked Grok about political trends. Here's how an entrepreneur uses Copilot to generate business ideas.

So you talk to ChatGPT, because you don't want to miss out.

[socksbro1]

Date: march 14th, 2025

Discovery

I decided that while Remington-Gede is working on his memoir, I’ll work on Task 1. By examining the help file for the default cube, I figured out that there’s an automated system that is in charge of spawning and despawning them. It seems to rely on new interactions.

Essentially, as the simulation runs, new events occur that never occurred before. When that happens, two things are activated. One spawns a cube, and the other, I am unsure of. When the process is finished, the cube is supposed to despawn. Something seems to be preventing that with the one I use, but that’s perfectly acceptable for my purposes.

I decided to try querying the second process from the cubes DataFile. I got a type 4 error accidentally, then an unrecognized error that I’m now calling a type 5, which I’m pretty sure is calling a function without the necessary input values.

I looked at its help page, and it seems that it requires a new data type I’m calling a Soft Error Trigger. A soft error, as I’m calling it, is when the simulation is required to render the result of an interaction that has no recorded result. A Soft Error Trigger is a compressed form of that interaction, removing all extraneous data values. It seems to be able to compress any data type I discovered.

I was able to artificially generate a Soft Error Trigger by utilizing an interesting quirk I discovered in the help files. A Soft Error Trigger always follows a distinct format, starting with “Te4DTe” and ending with “Te4ETe”. The trigger also always contains at least 2 file references, often directly referencing Data Values. Finally, there is always a file references within that references an AdvUript that is at least a type 2.

I entered some values in this format, then pasted the command into the Cube. I used myself as the AdvUript, as Gede was busy. The Trigger I used referenced material 6 and the Cube’s UPV. I started daydreaming what it could cause. Would the UPV make another cube there? Would I receive an error? Would material 6 be visible, but not cause headaches? I decided that the most likely outcome was that a cube would spawn, made out of material 6, then would likely error itself out, since Material 6 doesn’t seem to work right.

Almost immediately, I felt a burst of pain that disappeared moments after. I then felt an urge to think of a 3rd tier AdvUript. My mind went to Gede instantly, and Remington froze where he was typing. A few minutes later, another cube appeared next to the original. Remington-Gede then trotted up to me and bit me.

Apperantly that second script is a sort of AI generation for possible interactions. What I was imaging was what would be tested. The burst of pain was the second cube spawning, then deleting itself since it occupied a space that was already filled by the first cube. Then, I forwarded the interaction, plus my idea to Gede, who had to figure out how to make it work. The bite was because he and Remington were in the middle of a discussion, and my idea had so many issues he was temporarily overloaded.

I now know I likely need Gede’s help with spawning new cubes. I also now know not to interrupt him.

Pleasant day,

Tester

[agolaaa]

2025 Digital Marketing Trends: What You Should Really Pay Attention To

If you’ve been paying even a little attention to digital marketing lately, you’ll know things are moving faster than ever. Platforms change, algorithms shift, and customer behavior keeps evolving. What worked last year might not work today—and what’s working today might be gone by next quarter.

It can feel a bit overwhelming, sure. But here’s the good news: if you stay curious and pay attention to the right trends, there’s huge opportunity to stand out. Whether you're already in the field or just starting your journey through the best digital marketing training institute in Calicut, understanding the pulse of 2025 gives you a major edge.

1. Welcome to the Age of Real-Time Experiences

Marketing is no longer just about putting content out there and hoping people see it. In 2025, it’s about responding while it’s happening—right in the moment.

Think live streams, interactive polls, flash deals during events, or even AI-powered chat assistants that talk to customers at midnight. Real-time engagement is now a core part of strategy, especially in e-commerce and service-based industries.

2. Storytelling > Hard Selling

Let’s be honest: people don’t like being sold to. At least, not directly. What they do love is a good story.

Brands that can wrap their message into a narrative—about a mission, a journey, a personal experience—are finding it much easier to connect with audiences. It’s not about pushing a product. It’s about pulling people in with emotion, relevance, and relatability.

3. AI Is Helping, But Human Creativity Still Wins

Everyone’s talking about artificial intelligence, and yes, it’s a big deal. It helps with automating repetitive tasks, generating ideas, and even scheduling campaigns. But here’s the kicker—it doesn’t replace creative thinking.

In fact, the best marketers right now are the ones who use AI as a tool, not a crutch. They let it handle the backend, while they focus on crafting bold ideas, unique angles, and messages that sound like they came from a real person.

4. The Death of the Third-Party Cookie is Real

Browser cookies—those tiny data files that track your every move online—are fading out. Privacy laws and consumer pushback have forced platforms to rethink how data is collected.

As a result, marketers are shifting focus to first-party data—info gathered directly from your audience via sign-ups, feedback forms, or gated content. This makes email marketing and CRM systems more important than ever.

5. Search Isn’t Just Google Anymore

Search engine optimization (SEO) isn’t just about ranking on Google. People are now “searching” on Instagram, YouTube, TikTok, Pinterest, and even LinkedIn.

Each platform has its own rules and algorithms. That means your content has to be optimized for where your audience hangs out, not just for traditional search engines. Understanding platform-specific search behaviors is a critical new skill.

6. Digital Marketing Is Becoming More Localized

While the internet connects the world, customers still care about what’s happening in their area. Hyperlocal marketing is on the rise, using geotargeting, local SEO, and community-focused campaigns.

If you're promoting a business or service, tailoring your strategy to a specific city, language, or even neighborhood can drastically improve engagement.

And yes, that includes people looking for the best digital marketing training institute in Calicut—they’re searching locally too.

7. Email Is Making a Comeback—With a Twist

It might surprise some, but email marketing is still one of the highest ROI channels around. The difference now is how emails are being written.

Gone are the boring newsletters. In their place? Story-style formats, curated content digests, and personalized emails that talk like a friend, not a corporation. A strong email list is a goldmine—if used right.

8. Your Personal Brand Matters More Than Ever

People trust people more than companies. Whether you’re a freelancer, job-seeker, or business owner, your personal brand is a major asset.

Being active on LinkedIn, sharing behind-the-scenes on Instagram, or even starting a blog can build credibility and open doors. Clients and employers now Google you before they hire or buy. Make sure they find something worth their time.

9. Short Learning Cycles Are Replacing Traditional Degrees

Here’s something that’s become crystal clear in 2025: you don’t need a 3-year degree to start working in digital marketing. What you need is skills, hands-on practice, and the ability to adapt quickly.

That’s why so many learners are choosing the best digital marketing training institute in Calicut instead of traditional routes. Institutes that focus on live projects, real tools, and actual industry challenges are the ones producing job-ready professionals.

10. Platforms Come and Go—But Strategy Stays

It’s easy to get caught up in whatever platform is trending this month. Threads today, TikTok tomorrow, something new next week. But if you know how to build a good campaign—identify an audience, craft a message, and choose the right timing—you can adapt to any platform.

The fundamentals are what set you apart. And that’s what solid training focuses on—not just learning tools, but understanding strategy.

Final Thoughts

Digital marketing in 2025 isn’t just about being online—it’s about being intentional, creative, and quick to adapt. The landscape will keep changing, but those who stay curious, keep practicing, and learn from the right sources will always stay ahead.

If you're someone thinking about breaking into this space, consider your options wisely. The best digital marketing training institute in Calicut won’t just give you certificates—they’ll give you confidence, clarity, and real-world skills that matter.

You don’t need to be a genius. You just need to start. And there’s never been a better time than now.

[mostlysignssomeportents]

Humans are not perfectly vigilant

I'm on tour with my new, nationally bestselling novel The Bezzle! Catch me in BOSTON with Randall "XKCD" Munroe (Apr 11), then PROVIDENCE (Apr 12), and beyond!

Here's a fun AI story: a security researcher noticed that large companies' AI-authored source-code repeatedly referenced a nonexistent library (an AI "hallucination"), so he created a (defanged) malicious library with that name and uploaded it, and thousands of developers automatically downloaded and incorporated it as they compiled the code:

https://www.theregister.com/2024/03/28/ai_bots_hallucinate_software_packages/

These "hallucinations" are a stubbornly persistent feature of large language models, because these models only give the illusion of understanding; in reality, they are just sophisticated forms of autocomplete, drawing on huge databases to make shrewd (but reliably fallible) guesses about which word comes next:

https://dl.acm.org/doi/10.1145/3442188.3445922

Guessing the next word without understanding the meaning of the resulting sentence makes unsupervised LLMs unsuitable for high-stakes tasks. The whole AI bubble is based on convincing investors that one or more of the following is true:

There are low-stakes, high-value tasks that will recoup the massive costs of AI training and operation;

There are high-stakes, high-value tasks that can be made cheaper by adding an AI to a human operator;

Adding more training data to an AI will make it stop hallucinating, so that it can take over high-stakes, high-value tasks without a "human in the loop."

These are dubious propositions. There's a universe of low-stakes, low-value tasks – political disinformation, spam, fraud, academic cheating, nonconsensual porn, dialog for video-game NPCs – but none of them seem likely to generate enough revenue for AI companies to justify the billions spent on models, nor the trillions in valuation attributed to AI companies:

https://locusmag.com/2023/12/commentary-cory-doctorow-what-kind-of-bubble-is-ai/

The proposition that increasing training data will decrease hallucinations is hotly contested among AI practitioners. I confess that I don't know enough about AI to evaluate opposing sides' claims, but even if you stipulate that adding lots of human-generated training data will make the software a better guesser, there's a serious problem. All those low-value, low-stakes applications are flooding the internet with botshit. After all, the one thing AI is unarguably very good at is producing bullshit at scale. As the web becomes an anaerobic lagoon for botshit, the quantum of human-generated "content" in any internet core sample is dwindling to homeopathic levels:

https://pluralistic.net/2024/03/14/inhuman-centipede/#enshittibottification

This means that adding another order of magnitude more training data to AI won't just add massive computational expense – the data will be many orders of magnitude more expensive to acquire, even without factoring in the additional liability arising from new legal theories about scraping:

https://pluralistic.net/2023/09/17/how-to-think-about-scraping/

That leaves us with "humans in the loop" – the idea that an AI's business model is selling software to businesses that will pair it with human operators who will closely scrutinize the code's guesses. There's a version of this that sounds plausible – the one in which the human operator is in charge, and the AI acts as an eternally vigilant "sanity check" on the human's activities.

For example, my car has a system that notices when I activate my blinker while there's another car in my blind-spot. I'm pretty consistent about checking my blind spot, but I'm also a fallible human and there've been a couple times where the alert saved me from making a potentially dangerous maneuver. As disciplined as I am, I'm also sometimes forgetful about turning off lights, or waking up in time for work, or remembering someone's phone number (or birthday). I like having an automated system that does the robotically perfect trick of never forgetting something important.

There's a name for this in automation circles: a "centaur." I'm the human head, and I've fused with a powerful robot body that supports me, doing things that humans are innately bad at.

That's the good kind of automation, and we all benefit from it. But it only takes a small twist to turn this good automation into a nightmare. I'm speaking here of the reverse-centaur: automation in which the computer is in charge, bossing a human around so it can get its job done. Think of Amazon warehouse workers, who wear haptic bracelets and are continuously observed by AI cameras as autonomous shelves shuttle in front of them and demand that they pick and pack items at a pace that destroys their bodies and drives them mad:

https://pluralistic.net/2022/04/17/revenge-of-the-chickenized-reverse-centaurs/

Automation centaurs are great: they relieve humans of drudgework and let them focus on the creative and satisfying parts of their jobs. That's how AI-assisted coding is pitched: rather than looking up tricky syntax and other tedious programming tasks, an AI "co-pilot" is billed as freeing up its human "pilot" to focus on the creative puzzle-solving that makes coding so satisfying.

But an hallucinating AI is a terrible co-pilot. It's just good enough to get the job done much of the time, but it also sneakily inserts booby-traps that are statistically guaranteed to look as plausible as the good code (that's what a next-word-guessing program does: guesses the statistically most likely word).

This turns AI-"assisted" coders into reverse centaurs. The AI can churn out code at superhuman speed, and you, the human in the loop, must maintain perfect vigilance and attention as you review that code, spotting the cleverly disguised hooks for malicious code that the AI can't be prevented from inserting into its code. As "Lena" writes, "code review [is] difficult relative to writing new code":

https://twitter.com/qntm/status/1773779967521780169

Why is that? "Passively reading someone else's code just doesn't engage my brain in the same way. It's harder to do properly":

https://twitter.com/qntm/status/1773780355708764665

There's a name for this phenomenon: "automation blindness." Humans are just not equipped for eternal vigilance. We get good at spotting patterns that occur frequently – so good that we miss the anomalies. That's why TSA agents are so good at spotting harmless shampoo bottles on X-rays, even as they miss nearly every gun and bomb that a red team smuggles through their checkpoints:

https://pluralistic.net/2023/08/23/automation-blindness/#humans-in-the-loop

"Lena"'s thread points out that this is as true for AI-assisted driving as it is for AI-assisted coding: "self-driving cars replace the experience of driving with the experience of being a driving instructor":

https://twitter.com/qntm/status/1773841546753831283

In other words, they turn you into a reverse-centaur. Whereas my blind-spot double-checking robot allows me to make maneuvers at human speed and points out the things I've missed, a "supervised" self-driving car makes maneuvers at a computer's frantic pace, and demands that its human supervisor tirelessly and perfectly assesses each of those maneuvers. No wonder Cruise's murderous "self-driving" taxis replaced each low-waged driver with 1.5 high-waged technical robot supervisors:

https://pluralistic.net/2024/01/11/robots-stole-my-jerb/#computer-says-no

AI radiology programs are said to be able to spot cancerous masses that human radiologists miss. A centaur-based AI-assisted radiology program would keep the same number of radiologists in the field, but they would get less done: every time they assessed an X-ray, the AI would give them a second opinion. If the human and the AI disagreed, the human would go back and re-assess the X-ray. We'd get better radiology, at a higher price (the price of the AI software, plus the additional hours the radiologist would work).

But back to making the AI bubble pay off: for AI to pay off, the human in the loop has to reduce the costs of the business buying an AI. No one who invests in an AI company believes that their returns will come from business customers to agree to increase their costs. The AI can't do your job, but the AI salesman can convince your boss to fire you and replace you with an AI anyway – that pitch is the most successful form of AI disinformation in the world.

An AI that "hallucinates" bad advice to fliers can't replace human customer service reps, but airlines are firing reps and replacing them with chatbots:

https://www.bbc.com/travel/article/20240222-air-canada-chatbot-misinformation-what-travellers-should-know

An AI that "hallucinates" bad legal advice to New Yorkers can't replace city services, but Mayor Adams still tells New Yorkers to get their legal advice from his chatbots:

https://arstechnica.com/ai/2024/03/nycs-government-chatbot-is-lying-about-city-laws-and-regulations/

The only reason bosses want to buy robots is to fire humans and lower their costs. That's why "AI art" is such a pisser. There are plenty of harmless ways to automate art production with software – everything from a "healing brush" in Photoshop to deepfake tools that let a video-editor alter the eye-lines of all the extras in a scene to shift the focus. A graphic novelist who models a room in The Sims and then moves the camera around to get traceable geometry for different angles is a centaur – they are genuinely offloading some finicky drudgework onto a robot that is perfectly attentive and vigilant.

But the pitch from "AI art" companies is "fire your graphic artists and replace them with botshit." They're pitching a world where the robots get to do all the creative stuff (badly) and humans have to work at robotic pace, with robotic vigilance, in order to catch the mistakes that the robots make at superhuman speed.

Reverse centaurism is brutal. That's not news: Charlie Chaplin documented the problems of reverse centaurs nearly 100 years ago:

https://en.wikipedia.org/wiki/Modern_Times_(film)

As ever, the problem with a gadget isn't what it does: it's who it does it for and who it does it to. There are plenty of benefits from being a centaur – lots of ways that automation can help workers. But the only path to AI profitability lies in reverse centaurs, automation that turns the human in the loop into the crumple-zone for a robot:

https://estsjournal.org/index.php/ests/article/view/260

If you'd like an essay-formatted version of this post to read or share, here's a link to it on pluralistic.net, my surveillance-free, ad-free, tracker-free blog:

https://pluralistic.net/2024/04/01/human-in-the-loop/#monkey-in-the-middle

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

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

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Jorge Royan (modified) https://commons.wikimedia.org/wiki/File:Munich_-_Two_boys_playing_in_a_park_-_7328.jpg

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

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CC BY-SA 4.0 https://creativecommons.org/licenses/by-sa/4.0/deed.en

[dreamycircuit]

How AI is Changing Jobs: The Rise of Automation and How to Stay Ahead in 2025

AI and Jobs

Artificial Intelligence (AI) is everywhere. From self-checkout kiosks to AI-powered chatbots handling customer service, it’s changing the way businesses operate. While AI is making things faster and more efficient, it’s also making some jobs disappear. If you’re wondering how this affects you and what you can do about it, keep reading — because the future is already here.

The AI Boom: How It’s Reshaping the Workplace

AI is not just a buzzword anymore; it’s the backbone of modern business. Companies are using AI for automation, decision-making, and customer interactions. But what does that mean for jobs?

AI is Taking Over Repetitive Tasks

Gone are the days when data entry, basic accounting, and customer support relied solely on humans. AI tools like ChatGPT, Jasper, and Midjourney are doing tasks that once required an entire team. This means fewer jobs in these sectors, but also new opportunities elsewhere.

Companies are Hiring Fewer People

With AI handling routine work, businesses don’t need as many employees as before. Hiring freezes, downsizing, and increased automation are making it tougher to land a new job.

AI-Related Jobs are on the Rise

On the flip side, there’s massive demand for AI engineers, data scientists, and automation specialists. Companies need people who can build, maintain, and optimize AI tools.

Trending AI Skills Employers Want:

Machine Learning & Deep Learning

Prompt Engineering

AI-Powered Marketing & SEO

AI in Cybersecurity

Data Science & Analytics

Click Here to Know more

The Decline of Traditional Job Offers

AI is shaking up industries, and some job roles are disappearing faster than expected. Here’s why new job offers are on the decline:

AI-Driven Cost Cutting

Businesses are using AI to reduce operational costs. Instead of hiring new employees, they’re investing in AI-powered solutions that automate tasks at a fraction of the cost.

The Gig Economy is Replacing Full-Time Jobs

Instead of hiring full-time staff, companies are outsourcing work to freelancers and gig workers. This means fewer stable job opportunities but more chances for independent workers.

Economic Uncertainty

The global economy is unpredictable, and businesses are cautious about hiring. With AI improving efficiency, companies are choosing to scale down their workforce.

Click Here to Know more

Preparing for an AI-Driven Future

Feeling worried? Don’t be. AI isn’t just taking jobs — it’s also creating new ones. The key is to stay ahead by learning the right skills and adapting to the changing landscape.

1. Learn AI and Data Analytics

The best way to future-proof your career is to understand AI. Free courses on platforms like Coursera, Udemy, and Khan Academy can get you started.

2. Develop Soft Skills AI Can’t Replace

AI is great at automation, but it lacks emotional intelligence, creativity, and critical thinking. Strengthening these skills can give you an edge.

3. Embrace Remote & Freelance Work

With traditional jobs shrinking, freelancing is a great way to stay flexible. Sites like Upwork, Fiverr, and Toptal have booming demand for AI-related skills.

4. Use AI to Your Advantage

Instead of fearing AI, learn how to use it. AI-powered tools like ChatGPT, Jasper, and Canva can help boost productivity and creativity.

5. Never Stop Learning

Technology evolves fast. Stay updated with new AI trends, attend webinars, and keep improving your skills.

Click Here to Know more

Final Thoughts

AI is here to stay, and it’s changing the job market rapidly. While some traditional roles are disappearing, new opportunities are emerging. The key to surviving (and thriving) in this AI-driven world is adaptability. Keep learning, stay flexible, and embrace AI as a tool — not a threat.

Click Here to Know more

Share this blog if you found it helpful! Let’s spread awareness and help people prepare for the AI revolution.

[shabinv]

Top Digital Marketing Trends to Watch in 2025

As a Best Freelancer Digital Marketer In Palakkad we step deeper into the fast-paced digital world, 2025 is already shaping up to be a game-changing year for marketers. Technology, consumer behavior, and global dynamics are evolving rapidly — and so should our strategies. Whether you're a business owner, a startup founder, or a fellow digital marketer, staying ahead of the trends is essential.

Here are the top digital marketing trends to watch in 2025:

1. AI-Powered Marketing Will Be Mainstream

Artificial Intelligence (AI) is no longer a buzzword — it's the engine behind everything from customer service chatbots to personalized content recommendations. In 2025, AI tools like ChatGPT, MidJourney, and automation platforms will be used to craft content, optimize campaigns, and enhance user experience in real-time.

Pro tip: Leverage AI to automate mundane tasks and focus on strategy and creativity.

2. Hyper-Personalization Will Drive Conversions

Generic messages are dead. Consumers now expect brands to understand their preferences, behavior, and intent. With the help of advanced analytics and first-party data, brands will create ultra-targeted content, emails, and offers.

Example: E-commerce platforms will serve unique homepages to different users based on browsing history and location.

3. Voice Search & Smart Assistants Are Growing

With the rise of smart speakers and mobile voice assistants, voice search optimization is a must. In 2025, more than 60% of searches may be voice-based. Brands need to optimize for conversational keywords and FAQs.

Action point: Start creating content that sounds natural when spoken aloud.

4. Short-Form Video Remains King

Instagram Reels, YouTube Shorts, TikTok — short-form video is here to stay. In 2025, expect platforms to double down on this format with new monetization tools and discoverability features.

Strategy tip: Invest in authentic, value-driven video content. Consistency is more important than perfection.

5. Privacy-First Marketing Will Dominate

With increasing regulations like GDPR, and the phasing out of third-party cookies, marketers must prioritize ethical data use. First-party data collection (via signups, polls, etc.) will be more important than ever.

Solution: Build trust by being transparent with data collection and use tools that comply with privacy laws.

6. Influencer Marketing Gets Niche

Instead of chasing big influencers, brands are now working with micro and nano influencers who have loyal, engaged communities. In 2025, ROI-focused influencer partnerships will outperform one-off brand deals.

Idea: Partner with local creators who align with your brand values.

7. SEO Evolves with AI and Semantic Search

Google and other search engines are becoming more sophisticated. In 2025, keyword stuffing won’t work — semantic relevance, user intent, and E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness) will be key.

Tip: Focus on helpful content, not just rankings. Google rewards real value.

Final Thoughts

Digital marketing in 2025 is all about authenticity, adaptability, and agility. As a freelance digital marketer based in Palakkad, I’ve seen how local businesses can thrive when they embrace innovation early.

If you're a brand looking to stay ahead in this evolving digital landscape, now is the time to upgrade your strategy and ride the trends — not chase them after they’ve peaked.

Let’s connect! Feel free to message me if you need help implementing these strategies for your business.

[generouslywanderingpriest]

Video Agent: The Future of AI-Powered Content Creation

The rise of AI-generated content has transformed how businesses and creators produce videos. Among the most innovative tools is the video agent, an AI-driven solution that automates video creation, editing, and optimization. Whether for marketing, education, or entertainment, video agents are redefining efficiency and creativity in digital media.

In this article, we explore how AI-powered video agents work, their benefits, and their impact on content creation.

What Is a Video Agent?

A video agent is an AI-based system designed to assist in video production. Unlike traditional editing software, it leverages machine learning and natural language processing (NLP) to automate tasks such as:

Scriptwriting – Generates engaging scripts based on keywords.

Voiceovers – Converts text to lifelike speech in multiple languages.

Editing – Automatically cuts, transitions, and enhances footage.

Personalization – Tailors videos for different audiences.

These capabilities make video agents indispensable for creators who need high-quality content at scale.

How AI Video Generators Work

The core of a video agent lies in its AI algorithms. Here’s a breakdown of the process:

1. Input & Analysis

Users provide a prompt (e.g., "Create a 1-minute explainer video about AI trends"). The AI video generator analyzes the request and gathers relevant data.

2. Content Generation

Using GPT-based models, the system drafts a script, selects stock footage (or generates synthetic visuals), and adds background music.

3. Editing & Enhancement

The video agent refines the video by:

Adjusting pacing and transitions.

Applying color correction.

Syncing voiceovers with visuals.

4. Output & Optimization

The final video is rendered in various formats, optimized for platforms like YouTube, TikTok, or LinkedIn.

Benefits of Using a Video Agent

Adopting an AI-powered video generator offers several advantages:

1. Time Efficiency

Traditional video production takes hours or days. A video agent reduces this to minutes, allowing rapid content deployment.

2. Cost Savings

Hiring editors, voice actors, and scriptwriters is expensive. AI eliminates these costs while maintaining quality.

3. Scalability

Businesses can generate hundreds of personalized videos for marketing campaigns without extra effort.

4. Consistency

AI ensures brand voice and style remain uniform across all videos.

5. Accessibility

Even non-experts can create professional videos without technical skills.

Top Use Cases for Video Agents

From marketing to education, AI video generators are versatile tools. Key applications include:

1. Marketing & Advertising

Personalized ads – AI tailors videos to user preferences.

Social media content – Quickly generates clips for Instagram, Facebook, etc.

2. E-Learning & Training

Automated tutorials – Simplifies complex topics with visuals.

Corporate training – Creates onboarding videos for employees.

3. News & Journalism

AI-generated news clips – Converts articles into video summaries.

4. Entertainment & Influencers

YouTube automation – Helps creators maintain consistent uploads.

Challenges & Limitations

Despite their advantages, video agents face some hurdles:

1. Lack of Human Touch

AI may struggle with emotional nuance, making some videos feel robotic.

2. Copyright Issues

Using stock footage or AI-generated voices may raise legal concerns.

3. Over-Reliance on Automation

Excessive AI use could reduce creativity in content creation.

The Future of Video Agents

As AI video generation improves, we can expect:

Hyper-realistic avatars – AI-generated presenters indistinguishable from humans.

Real-time video editing – Instant adjustments during live streams.

Advanced personalization – AI predicting viewer preferences before creation.