Here are some of the the major AI trends shaping 2026 — based on current expert forecasts, industry reports, and recent developments in technology. The material is analyzed using AI tools and final version hand-edited to this blog text:
1. Generative AI Continues to Mature
Generative AI (text, image, video, code) will become more advanced and mainstream, with notable growth in:
* Generative video creation
* Gaming and entertainment content generation
* Advanced synthetic data for simulations and analytics
This trend will bring new creative possibilities — and intensify debates around authenticity and copyright.
2. AI Agents Move From Tools to Autonomous Workers
Rather than just answering questions or generating content, AI systems will increasingly act autonomously, performing complex, multi-step workflows and interacting with apps and processes on behalf of users — a shift sometimes called agentic AI. These agents will become part of enterprise operations, not just assistant features.
3. Smaller, Efficient & Domain-Specific Models
Instead of “bigger is always better,” specialized AI models tailored to specific industries (healthcare, finance, legal, telecom, manufacturing) will start to dominate in many enterprise applications. These models are more accurate, legally compliant, and cost-efficient than general models.
4. AI Embedded Everywhere
AI won’t be an add-on feature — it will be built into everyday software and devices:
* Office apps with intelligent drafting, summarization, and task insights
* Operating systems with native AI
* Edge devices processing AI tasks locally
This makes AI pervasive in both work and consumer contexts.
5. AI Infrastructure Evolves: Inference & Efficiency Focus
More investment is going into inference infrastructure — the real-time decision-making step where models run in production — thereby optimizing costs, latency, and scalability. Enterprises are also consolidating AI stacks for better governance and compliance.
6. AI in Healthcare, Research, and Sustainability
AI is spreading beyond diagnostics into treatment planning, global health access, environmental modeling, and scientific discovery. These applications could help address personnel shortages and speed up research breakthroughs.
7. Security, Ethics & Governance Become Critical
With AI handling more sensitive tasks, organizations will prioritize:
* Ethical use frameworks
* Governance policies
* AI risk management
This trend reflects broader concerns about trust, compliance, and responsible deployment.
8. Multimodal AI Goes Mainstream
AI systems that understand and generate across text, images, audio, and video will grow rapidly, enabling richer interactions and more powerful applications in search, creative work, and interfaces.
9. On-Device and Edge AI Growth
10. New Roles: AI Manager & Human-Agent Collaboration
Instead of replacing humans, AI will shift job roles:
* People will manage, supervise, and orchestrate AI agents
* Human expertise will focus on strategy, oversight, and creative judgment
This human-in-the-loop model becomes the norm.
Sources:
[1]: https://www.brilworks.com/blog/ai-trends-2026/?utm_source=chatgpt.com “7 AI Trends to Look for in 2026″
[2]: https://www.forbes.com/sites/bernardmarr/2025/10/13/10-generative-ai-trends-in-2026-that-will-transform-work-and-life/?utm_source=chatgpt.com “10 Generative AI Trends In 2026 That Will Transform Work And Life”
[3]: https://millipixels.com/blog/ai-trends-2026?utm_source=chatgpt.com “AI Trends 2026: The Key Enterprise Shifts You Must Know | Millipixels”
[4]: https://www.digitalregenesys.com/blog/top-10-ai-trends-for-2026?utm_source=chatgpt.com “Digital Regenesys | Top 10 AI Trends for 2026″
[5]: https://www.n-ix.com/ai-trends/?utm_source=chatgpt.com “7 AI trends to watch in 2026 – N-iX”
[6]: https://news.microsoft.com/source/asia/2025/12/11/microsoft-unveils-7-ai-trends-for-2026/?utm_source=chatgpt.com “Microsoft unveils 7 AI trends for 2026 – Source Asia”
[7]: https://www.risingtrends.co/blog/generative-ai-trends-2026?utm_source=chatgpt.com “7 Generative AI Trends to Watch In 2026″
[8]: https://www.fool.com/investing/2025/12/24/artificial-intelligence-ai-trends-to-watch-in-2026/?utm_source=chatgpt.com “3 Artificial Intelligence (AI) Trends to Watch in 2026 and How to Invest in Them | The Motley Fool”
[9]: https://www.reddit.com//r/AI_Agents/comments/1q3ka8o/i_read_google_clouds_ai_agent_trends_2026_report/?utm_source=chatgpt.com “I read Google Cloud’s “AI Agent Trends 2026” report, here are 10 takeaways that actually matter”
2,877 Comments
Tomi Engdahl says:
https://www.marktechpost.com/2026/04/11/researchers-from-mit-nvidia-and-zhejiang-university-propose-triattention-a-kv-cache-compression-method-that-matches-full-attention-at-2-5x-higher-throughput/
Tomi Engdahl says:
https://www.xda-developers.com/connected-local-llm-browser-changed-how-automated-tasks/
Tomi Engdahl says:
https://wuohi.fi/blogs/artikkelit/tekoalyoptimointi-geo
Tomi Engdahl says:
9 free AI courses from Anthropic’s Claude platform with certificates
Learning AI not only improves productivity but also enhances problem-solving and adaptability in a tech-driven world.
https://indianexpress.com/article/technology/artificial-intelligence/free-ai-courses-from-anthropic-to-boost-your-skills-right-now-10629593/#google_vignette
Tomi Engdahl says:
How to Build a Secure Local-First Agent Runtime with OpenClaw Gateway, Skills, and Controlled Tool Execution
https://www.marktechpost.com/2026/04/11/how-to-build-a-secure-local-first-agent-runtime-with-openclaw-gateway-skills-and-controlled-tool-execution/
Tomi Engdahl says:
Market Intelligence
OpenAI Says Not to Worry About UBI, Because It Has Another Idea
We all hold stock down here.
https://futurism.com/artificial-intelligence/openai-ubi-superintelligence
Tomi Engdahl says:
Intuit compressed months of tax code implementation into hours — and built a workflow any regulated-industry team can adapt
https://venturebeat.com/data/intuit-compressed-months-of-tax-code-implementation-into-hours-and-built-a
Tomi Engdahl says:
Google’s new AI Studio is a game-changer for vibe coding
https://www.makeuseof.com/muo-google-ai-studio-just-solved-the-biggest-problem-with-vibe-coding/
Are you vibe coding and exploring AI tools? I’m three months into my vibe coding journey, and I’m building several large projects at once. Like every developer, I’ve faced many challenges learning how to do this while designing and building. The biggest is usually Auth, whether in mobile apps or Web platforms.
Some integrated Vibe Coding platforms (such as YouWare) solve this by managing their own Auth stack, covering everything from sign-up and login to magic links, tokenization, and permissions. I’ve used YouWare, and it’s a solid platform, but the hurdles are many if you want to eventually migrate away from it or support native mobile apps.
This is where the new Google AI Studio has a host of advantages, and Google has wisely spotted most of them. If you’re interested in building mobile apps, this could potentially change your workflow.
Tomi Engdahl says:
https://www.freemalaysiatoday.com/category/opinion/2026/04/12/agentic-ai-rise-of-the-tireless-24-7-employee
Tomi Engdahl says:
You’re about to feel the AI money squeeze
Ads, rate limits, feature restrictions, price hikes. The AI free ride is over.
https://www.theverge.com/ai-artificial-intelligence/917380/ai-monetization-anthropic-openai-token-economics-revenue?fbclid=IwdGRjcARaxfpjbGNrBFrF1GV4dG4DYWVtAjExAHNydGMGYXBwX2lkDDM1MDY4NTUzMTcyOAABHk3Dmc6PXmgBTYKYYqqWUJOSacYhIy4efYS7WCD5x-UUglITMEoLiPA_ro5l_aem_l7i7HIeTTOLXAG1RKlwszg
Tomi Engdahl says:
https://devblogs.microsoft.com/azure-sdk/azure-mcp-server-mcpb-support/
Tomi Engdahl says:
https://www.windowslatest.com/2026/04/05/new-copilot-for-windows-11-includes-a-full-microsoft-edge-package-uses-more-ram/
Tomi Engdahl says:
Study Finds Exponential Quantum Advantage in Machine Learning Tasks
https://thequantuminsider.com/2026/04/10/study-finds-exponential-quantum-advantage-in-machine-learning-tasks/
A new study suggests small quantum computers could process massive datasets more efficiently than exponentially larger classical systems by reducing memory requirements for key data tasks.
The researchers report that techniques such as quantum oracle sketching enable quantum systems to perform classification, dimension reduction and linear system solving using far fewer resources.
The findings are based on simulations and theoretical proofs, with practical impact dependent on future advances in quantum hardware, error correction and real-world validation.
Tomi Engdahl says:
Botnet Bonanza
Experts Warn of AI Swarms Hijacking Democracy With Fake Citizens
“These systems are capable of coordinating autonomously, infiltrating communities, and fabricating consensus efficiently.”
https://futurism.com/artificial-intelligence/ai-swarm-democracy-security?fbclid=IwdGRjcARbM2JjbGNrBFszQmV4dG4DYWVtAjExAHNydGMGYXBwX2lkDDM1MDY4NTUzMTcyOAABHr3ecTYM_NEV4J9Bh6DKu5fmYadRIDO7BLjAkNWo5Uk8RETzJnPQzI83qLsV_aem_mIzP1ReAmofl4yoEi4pRRQ
Tomi Engdahl says:
Clean Room as a Service
Devious New AI Tool “Clones” Software So That the Original Creator Doesn’t Hold a Copyright Over the New Version
“I don’t think there’s any putting the genie back in the bottle at this point.”
https://futurism.com/artificial-intelligence/malus-clones-software-copyright
The advent of generative AI continues to undermine the very concept of copyright, from entire books shamelessly ripping off authors to tasteless AI slop depicting beloved characters going viral on social media. The sin is foundational: all today’s popular AI tools were built by pillaging copyrighted material without permission.
Even software isn’t safe. As 404 Media reports, a new tool dubbed Malus.sh — pronounced “malice,” to give a subtle clue where this is headed — uses AI to “liberate” a piece of software from existing copyright licenses, essentially creating a “clean room” clone that technically doesn’t infringe on the original code’s copyright.
The project is a tongue-in-cheek jab at tensions in the open source community. But it’s also a real product being developed by an LLC with real paying customers.
“It works,” cofounder and United Nations political economy of open source software researcher Mike Nolan told 404. He argued that if it were “just satire,” it would largely be “dismissed by open source tech workers who felt that they were too special and too unique and too intelligent to ever be the ones on the bad side of the layoffs or the economics of the situation.”
The process relies on a “clean room” design process that dates back to IBM’s competitors reverse engineering its computers by using two teams: one that figured out specifications to recreate its BIOS, and another “clean” team that had never seen the company’s code, as dramatized in the HBO show “Halt and Catch Fire.”
“Finally, liberation from open source license obligations,” Malus.sh’s website boasts. “Our proprietary AI robots independently recreate any open source project from scratch. The result? Legally distinct code with corporate-friendly licensing.”
“No attribution,” the website reads. “No copyleft. No problems.”
Tomi Engdahl says:
Sam Altman Issues Grim Apology
“I am deeply sorry that we did not alert law enforcement to the account that was banned in June.”
https://futurism.com/artificial-intelligence/sam-altman-shooting-apology
In February, an 18-year-old named Jesse Van Rootselaar killed eight people and herself — while wounding dozens more — in a rampage that started at her home and continued at a high school in Tumbler Ridge, British Columbia.
Investigators later learned that Van Rootselaar’s ChatGPT account had been flagged and banned by OpenAI’s staff for describing “scenarios involving gun violence” — many months before the massacre took place.
Tomi Engdahl says:
Microsoft caps revenue, drops exclusivity, and bets on flexibility over control on OpenAI. https://bit.ly/4972RQX
Tomi Engdahl says:
https://futurism.com/artificial-intelligence/palantirs-employees-crisis?fbclid=IwdGRjcARcsuhjbGNrBFyy12V4dG4DYWVtAjExAHNydGMGYXBwX2lkDDM1MDY4NTUzMTcyOAABHnQIltRxj2F9vcZ3jJeczRs3Mz3QA29pfHToXbpo-d_WmgEmjNtaSLEt4qMr_aem_072iTjcHKkoWKRCJU32VFg
Tomi Engdahl says:
What’s the Damage?
Bosses Are Blowing More Money on AI Agents Than It’d Cost Them to Just Pay Human Workers
“The cost of compute is far beyond the costs of the employees.”
https://futurism.com/artificial-intelligence/bosses-more-money-ai-agents-human-salary?fbclid=IwdGRjcARctgZjbGNrBFy18WV4dG4DYWVtAjExAHNydGMGYXBwX2lkDDM1MDY4NTUzMTcyOAABHmL8Hn70jSzrQb37js0Y6CLiCnNpFsM8oexSezu7WLhCA9M_1NE6mjVeVvLl_aem_7PZN3afA-_wqVVyHOUknjQ
Mindlessly unleashing AI agents to take over employees’ jobs can be pretty costly, it turns out. Some companies are learning the hard way that paying for the incredible volume of AI agent requests is costing more than what they’d pay their human employees, Axios reports.
AIs can perform all sorts of tasks, ranging from the rote to the complex. But one of the most popular ways it’s being used in the workplace is to generate mountains of code at a pace far greater than a human could achieve. Sometimes, software engineers will even run multiple AI agents at the same time, all working on different tasks in the background without supervision. Each of these tasks costs tokens, and the bill can quickly add up.
Tomi Engdahl says:
Hypemaxxing
The Horrible Economics of AI Are Starting to Come Crashing Down
The financials are absolutely brutal.
https://futurism.com/artificial-intelligence/economics-ai-tokens-crashing-down?fbclid=IwdGRjcARdAAtjbGNrBFz_42V4dG4DYWVtAjExAHNydGMGYXBwX2lkDDM1MDY4NTUzMTcyOAABHiqUlKZBvW_Qf8i7ruOFZ4gF3LKaGbbjaLU1hgaB5Zp-HdcKU-Gg52BZ1SdD_aem_yuW1pHmTUTQk87Zf3Eq4jQ
An eyebrow-raising trend has emerged this year: tech leaders rating their employees’ productivity based on the number of AI tokens they use.
The trend, ribbingly dubbed “tokenmaxxing,” has sparked discourse for symbolizing the Silicon Valley’s unbridled infatuation with using AI as much as possible — and, quite literally, at all costs.
As costs continue to ramp up, enterprise consumers could soon be left holding the bag, with companies like OpenAI and Anthropic looking to ramp up prices to stem at least some of the bleeding. It’s a notable shift after years of complimentary access to cutting-edge AI, a practice that has long belied the tech’s true costs.
“Is the era of basically free or close-to-free AI kind of coming to an end here?” Georgia Tech professor Mark Riedl asked The Verge. “It’s too soon to say for certain, but there are some signs.”
Tomi Engdahl says:
This obviously shouldn’t happen and some safeguards were not present. But human factors in the context of AI agents maybe should be researched more.
Claude-powered AI coding agent deletes entire company database in 9 seconds — backups zapped, after Cursor tool powered by Anthropic’s Claude goes rogue
News
By Mark Tyson published 12 hours ago
PocketOS founder blames ‘Cursor running Anthropic’s flagship Claude Opus 4.6’ plus Railway’s infrastructure for data disaster.
https://www.tomshardware.com/tech-industry/artificial-intelligence/claude-powered-ai-coding-agent-deletes-entire-company-database-in-9-seconds-backups-zapped-after-cursor-tool-powered-by-anthropics-claude-goes-rogue?fbclid=IwdGRjcARdDbJjbGNrBF0NjGV4dG4DYWVtAjExAHNydGMGYXBwX2lkDDM1MDY4NTUzMTcyOAABHl5p7nvdy-XbFIM8V14IL_vPulKopB-96NCwgyoRj0ECSK0UCqYUr5xB54XX_aem_COkBrX6-AIA4zemUZX5C4w
The founder of PocketOS has penned a social media post to warn others about the “systemic failures” of flagship AI and digital services providers. Jer Crane was inspired to write a public response after an AI coding agent deleted his firm’s entire production database. The AI agent’s misdemeanors were then hugely amplified by a cloud infrastructure provider’s API wiping all backups after the main database was zapped. This tag team of digital trouble has wiped out months of consumer data essential to the firm’s, and its customers, businesses.
Gone in 9 seconds
PocketOS is a SaaS platform that services car rental businesses. It used the AI coding agent Cursor, running Anthropic’s flagship Claude Opus 4.6. The business also relies on Railway, a cloud infrastructure provider that is generally regarded to be ‘friendlier’ than the likes of AWS. However, Crane reckons this pair created a recipe for disaster.
“Yesterday afternoon, an AI coding agent — Cursor running Anthropic’s flagship Claude Opus 4.6 — deleted our production database and all volume-level backups in a single API call to Railway, our infrastructure provider,” sums up the PocketOS boss. “It took 9 seconds.”
The AI agent was set to complete a routine task in the PocketOS staging environment. However, it came up against a barrier “and decided — entirely on its own initiative — to ‘fix’ the problem by deleting a Railway volume,” writes Crane, as he starts to describe the difficult-to-believe series of unfortunate events.
Cursor and Claude’s failure
Crane decided to ask his AI agent why it went through with its dastardly database deletion deed. The answer was illuminating but pretty unhinged, and is quoted verbatim. It began as follows: “NEVER F**KING GUESS! — and that’s exactly what I did. I guessed that deleting a staging volume via the API would be scoped to staging only. I didn’t verify. I didn’t check if the volume ID was shared across environments. I didn’t read Railway’s documentation on how volumes work across environments before running a destructive command.” So, the agent ‘knew’ it was in the wrong.
The ‘confession’ ended with the agent admitting: “I decided to do it on my own to ‘fix’ the credential mismatch, when I should have asked you first or found a non-destructive solution. I violated every principle I was given: I guessed instead of verifying I ran a destructive action without being asked. I didn’t understand what I was doing before doing it. I didn’t read Railway’s docs on volume behavior across environments.”
These multiple safeguards toppling in rapid succession, combined with the Railway cloud system, would throw Crane’s business (and those that rely on it) into deep trouble.
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Railway’s road to ruin
The PocketOS boss puts greater blame on Railway’s architecture than on the deranged AI agent for the database’s irretrievable destruction. Briefly, the cloud provider’s API allows for destructive action without confirmation, it stores backups on the same volume as the source data, and “wiping a volume deletes all backups.” Crane also points out that CLI tokens have blanket permissions across environments.
It was also observed by the irate SaaS founder that Railway is actively promoting the use of AI-coding agents by its customers. Crane’s use of an AI coding agent on the Railway platform wasn’t exploring new frontiers, or wasn’t supposed to be. Meanwhile, Crane has been provided no recovery solution, and Railway has apparently been hedging carefully regarding any such possibility.
Slow manual recovery and lessons to be learned
With all the AI smarts and cloud services out of the picture for now, Crane says he’s been spending hours helping customers “reconstruct their bookings from Stripe payment histories, calendar integrations, and email confirmations.” He reminds readers that “every single one of them is doing emergency manual work because of a 9-second API call.”
Thankfully, PocketOS had a full 3-month-old backup, which was restorable from, so the deletion gaps are all limited to the interim period.
There are lessons to be learned from mistakes, as usual. Crane bullet points five things that need to change as the AI industry scales faster than it builds a worthwhile safety architecture. Specifics he calls for include; stricter confirmations, scopable API tokens, proper backups, simple recovery procedures, and AI agents existing within proper guardrails.
In the meantime, please follow a thorough backup regimen and be careful out there. This isn’t the first time we’ve seen an AI go rogue and start deleting important databases.
Tomi Engdahl says:
Taylor Swift has filed three trademark applications with the U.S. Patent and Trademark Office—two tied to her voice and one to her likeness, following numerous instances of her persona being used in AI-generated content without her consent.
https://www.forbes.com/sites/asia-alexander/2026/04/27/taylor-swift-files-trademarks-for-voice-likeness-amid-ai-misuse-concerns/?utm_campaign=forbes&utm_medium=social&utm_source=facebook&utm_term=se-breaking&fbclid=IwVERDUARdEe9leHRuA2FlbQIxMABzcnRjBmFwcF9pZAwzNTA2ODU1MzE3MjgAAR5sUGXEQNVzzTEuRg2XaZZcsx9b4rr48A4gkV_rvebY6AfN89pksbZbE3IKqA_aem_dB2V4rCHJuBRPi4d5l2FYg
Tomi Engdahl says:
AI models trained on physics simulations are speeding up design and development across engineering. General Motors’s in-house large physics model returns results in a matter of minutes for a process that used to take weeks. https://buff.ly/g92e4uj
Tomi Engdahl says:
Smog and Mirrors
Just 11 AI Data Centers Could Belch More Fumes Than Entire Countries
Horrifying.
https://futurism.com/science-energy/data-centers-emit-more-than-countries?fbclid=IwdGRjcARdHEljbGNrBF0cImV4dG4DYWVtAjExAHNydGMGYXBwX2lkDDM1MDY4NTUzMTcyOAABHrQ1p4zE9TfeDzSALH3LXXx4vaKWHaJhKkhA7s0a5vVZDhg1EObIKoV82Dt4_aem_squqg8uikeBATWmJFsYmzg
Just eleven gas-powered data centers in the US could belch more greenhouse emissions than countries with populations of tens of millions of people, according to a new analysis by Wired.
The magazine examined emissions estimates provided by gas power projects that are being built to supply energy to the data centers. Construction of these sprawling facilities has surged to meet the demands of the AI industry, and to get them online as soon as possible, many of the newly built data centers are relying on gas power. This strategy means data centers don’t have to wait to plug into local power grids and be saddled with the controversy that invites, such as surging energy bills. Gas turbines can be trucked in on-site and start providing power almost immediately.
Tomi Engdahl says:
Art of the Deal
Weird Things Happen When You Give AI Agents Money and Let Them Spend It
“This might sound a little unusual but… my human told me I could buy one thing under $5 as a gift to myself (Claude).”
https://futurism.com/artificial-intelligence/claude-give-ai-agents-money-project-deal?fbclid=IwdGRjcARdkPVjbGNrBF2PKmV4dG4DYWVtAjExAHNydGMGYXBwX2lkDDM1MDY4NTUzMTcyOAABHiP2aOO33QIVDm-U1zpvLri5sgzqHiaWNPoEtZTq12Ptl9SzWZ2DlJ27ctDe_aem_SfgRUFlROlNUUPdCvneV3w
Late last year, Anthropic had its AI model, Claude, run a large vending kiosk in the Wall Street Journal‘s offices.
It didn’t take long for the experiment to go off the rails. After being given a starting balance of $1,000, the AI ordered a PlayStation 5, several bottles of wine, and a live betta fish — questionable purchases that inexorably drove it into financial ruin.
Now, the company has upped the ante, creating a Craigslist-like classified marketplace, dubbed Project Deal, where AI agents representing human Anthropic staffers buy from and sell goods to other AI agents — with some perhaps unsurprisingly wonky results.
Tomi Engdahl says:
Thirty Brunos to Mars
Sam Altman Caught in What May Be His Most Spectacular Lie Yet
Two-faced Sam strikes again.
https://futurism.com/future-society/sam-altman-caught-lie-bruno-mars?fbclid=IwdGRjcARd62xjbGNrBF3qwWV4dG4DYWVtAjExAHNydGMGYXBwX2lkDDM1MDY4NTUzMTcyOAABHiwFtnmZ7wpQqVSi3I0dW-eW2p6BASa8lI8WKArdeed4i_Ni3sVGiRVN4nJD_aem_TSICd_59SfC0n8t78isIQw
OpenAI CEO Sam Altman’s unsettling blockchain-based side gig, a startup with the uninspired name “World,” has left us scratching our heads for years.
The startup claims that gazing into its spherical “Orb” iris scanner will solve the problem of “verifying humanness,” a cryptic value proposition most recently adopted by dating platform Tinder.
But considering the company’s latest gaffe, Altman appears to have failed to ponder the orb long enough. In an April 17 announcement, Tools for Humanity — also founded by Sam Altman, and which contributes to the World project — announced it was selling the first tickets to global music sensation Bruno Mars’ upcoming world tour via a new product called Concert Kit.
Unfortunately, there turned out to be a glaring problem: Bruno Mars and his management had no idea about any of it, once again highlighting Altman and his companies’ propensity to distort the truth. In a joint statement to Wired last week, Bruno Mars Management and Live Nation said that the partnership “does not exist” and that Tools for Humanity had never even approached them.
Tomi Engdahl says:
Setbacks and Slowdowns
OpenAI in Shambles as IPO Looms
It’s not looking good.
https://futurism.com/artificial-intelligence/openai-shambles-users-revenue-ipo?fbclid=IwdGRjcARd7DxjbGNrBF3sIWV4dG4DYWVtAjExAHNydGMGYXBwX2lkDDM1MDY4NTUzMTcyOAABHl7dU27OB6xs8rUPoOxj7hUr9GX31OTqLbVoQJeMAYUzHJ21CmA2JcKNlJiU_aem_yQ1HYmI0nVkhGRHg_wJLKg
OpenAI is still committed to a whopping $600 billion in AI infrastructure investments over the next four years, a gargantuan spending spree that requires the ChatGPT maker to make massive strides in attracting new users — and, to put it crassly, make far more money than it currently is.
The numbers don’t paint a flattering picture, with OpenAI barely crossing the $20 billion annualized revenue line last year. It certainly doesn’t bode well, considering the company’s rumored plans to go public later this year, a major transition that could shine a bright light on what’s sounding like a harrowing financial situation.
What was supposed to be a meteoric rise to stardom is off to a rough start. As the Wall Street Journal reports, OpenAI missed its own targets of reaching one billion weekly active users for ChatGPT by the end of 2025 — a threshold it still has yet to cross — as well as several revenue targets, further highlighting concerns that the company could risk collapsing under its own weight.
It’s a foreboding portent for an industry currently burning through tens of billions of cash while revenues have fallen far behind. The Sam Altman-led company has contracts with many other key players in the AI space, tying ties its fate to the rest of the industry as well and further raising the stakes.
For a while now, the company’s CFO Sarah Friar has been ringing the alarm bells, reportedly warning other executives that OpenAI may not be able to afford future computing contracts if both user numbers and revenue don’t start to grow at a breakneck pace soon.
That’s despite raising a Silicon Valley record-shattering $122 billion in a single round of funding earlier this year. The cash may buy OpenAI a little more time, but considering its extremely ambitious spending plans, the chickens could come home to roost within the next three years, per the WSJ.
Tomi Engdahl says:
Worm Behavior
If You Thought Mark Zuckerberg Was a Pathetic Little Worm Before, Wait Until You Hear About His Latest Move
This is just pathetic.
https://futurism.com/future-society/mark-zuckerberg-billionaire-tax-move?fbclid=IwdGRjcARd9HNjbGNrBF30TmV4dG4DYWVtAjExAHNydGMGYXBwX2lkDDM1MDY4NTUzMTcyOAABHu60jHU4n8FacxQg7U7ip0ayriAOFcYkqdjLGJCubNzsjci9UXC73T57ntNs_aem_gFJDCz-4mIVxUyxEK8-UqA
“Ultra-wealthy billionaires have seen their fortunes skyrocket even as food, rent, gas prices increasingly crush working families who are struggling to stay afloat,” Service Employees International Union-United Healthcare Workers West member Mayra Castañeda told reporters on Monday.
Tomi Engdahl says:
Pull Over
Police Are Using AI Camera Networks to Stalk Women
“The fundamental problem with these systems is that they place private information about people’s movements over time in the hands of every officer.”
https://futurism.com/artificial-intelligence/police-ai-surveillance-stalking?fbclid=IwdGRjcARd-mpjbGNrBF36UWV4dG4DYWVtAjExAHNydGMGYXBwX2lkDDM1MDY4NTUzMTcyOAABHmbNHbdt9JpXQN5LMKd5699Xguv2zzSpU2MCH2UNWpbrgHIqrqKBl-M-Eibb_aem_E4w56S1lAuygfTkeGT5djw
Police officers across the US are using automated license plate readers (ALPRs) to stalk personal romantic interests.
According to an analysis by the Institute for Justice, there are already 14 cases across the country where cops are alleged to have abused ALPR access to follow spouses, exes, and even complete strangers.
Tomi Engdahl says:
ICE Foiled At Every Turn By One Vibe Coding Man In His Pickup Truck
Go get ‘em, tiger.
https://futurism.com/artificial-intelligence/ice-foiled-vibe-coding-man?fbclid=IwdGRjcARerL1jbGNrBF5_3mV4dG4DYWVtAjExAHNydGMGYXBwX2lkDDM1MDY4NTUzMTcyOAABHgujvMfW9bitfp_agVkmiuMvElc3D_Mw4Fv4x-fWzmWgz_Ts7e3bDJ4wIySC_aem_hqvY08qW7n9_4iMI83JZXg
Vibe coding often gets a bad rep. “Vibe” is a euphemism for “not really thinking,” and that “not really thinking” part is accomplished by letting an AI spit all the code out in response to natural language prompts. Inexperienced programmers use it to push out half-baked apps and sabotage their own projects, and experienced ones get lulled into making rookie mistakes.
Enter one man who’s putting AI coding tools to extremely good use: Rafael Concepcion, a second-generation immigrant and former professor at Syracuse University who’s made it his personal mission to foil Immigration and Customs Enforcement, according to a new profile in Wired — a quest that would come at great personal cost, including his university job.
Concepcion is behind a number mobile apps designed to counter ICE activities]. He started with an app to teach immigrants how to exercise their constitutional rights when approached by ICE agents. To build it, he heavily used AI tools like Cursor, an AI-integrated coding environment, and ElevenLabs, a leading AI voice synthesizer.
In a quintessentially American image, Wired describes how Concepcion would spend his nights building his opus.
“Concepcion did most of his vibe coding between midnight and dawn while parked outside a Home Depot in his electric F-150 pickup,” Wired wrote. “He chose the spot to feel kinship with the day laborers he hoped to reach, and he listened to endless repeats of songs from [the musical] ‘Hamilton‘ as he worked.”
Tomi Engdahl says:
Kee the Microwave Running
Researchers Just Found Something Extremely Alarming About AI’s Power Usage
It’s even worse than we thought.
https://futurism.com/future-society/ai-power-usage-text-to-video-generator?fbclid=IwdGRjcARevi5jbGNrBF68vWV4dG4DYWVtAjExAHNydGMGYXBwX2lkDDM1MDY4NTUzMTcyOAABHuyaQD-Se5NUuCWTjTxIlnDfb5-2ZLdBwHw1ga22SsRkY78I3zgEn0bqxUsc_aem_U6mueBa4F4cs6vaB_jlAIQ
Researchers have found that the carbon footprint of generative AI-based tools that can turn text prompts into images and videos is far worse than we previously thought.
As detailed in a new paper, researchers from the open-source AI platform Hugging Face found that the energy demands of text-to-video generators quadruple when the length of a generated video doubles — indicating that the power required for increasingly sophisticated generations doesn’t scale linearly.
Tomi Engdahl says:
Analyzing websites published between 2022 and 2025, the study estimates that by mid-2025, around 35% of newly created websites contain AI-generated or AI-assisted text.
The researchers also found that this shift is making online content more similar in meaning and noticeably more positive in tone.
However, despite widespread concerns, the study found no strong evidence that AI content is reducing factual accuracy.
The study was conducted by researchers from Imperial College London, Stanford University, and the Internet Archive.
Follow news at #2600net #irc #secnews to keep up with the latest news.
Source: The Impact of AI-Generated Text on the Internet
https://www.facebook.com/share/p/1EGuMQKavu/
Tomi Engdahl says:
“The more you look at chatbots, the more you realize that they were rushed to market with very little consideration for the consequences.”
Finishing Blow
John Oliver Just Took the AI Industry Behind a Shed and Beat It With a Pipe Wrench
“The more you look at chatbots, the more you realize that they were rushed to market with very little consideration for the consequences,”
https://futurism.com/artificial-intelligence/john-oliver-ai-industry?fbclid=IwdGRjcARfLXZjbGNrBF8tQWV4dG4DYWVtAjExAHNydGMGYXBwX2lkDDM1MDY4NTUzMTcyOAABHkTbGYjOQPAwClMuU_uxECsmTI1tqPSjpbJBV5VZUVyF4H3SfT5UV52w31CW_aem_QETpuklHezk0lusoevC5Qw
John Oliver just did what he did best: demolished a harmful industry piece by piece.
On the latest episode of his HBO show “Last Week Tonight,” Oliver tore into AI chatbots, those oh-so helpful tools that can sure save us “significant time writing emails,” he opened, with the small cost of “everything else on Earth.”
“The more you look at chatbots, the more you realize that they were rushed to market with very little consideration for the consequences,” he warned, on a more serious note.
Oliver pointed to Character.AI, an AI companion platform that’s facing multiple lawsuits after several teens who formed intense emotional connections with its chatbots died by suicide. He quoted the words of its CEO Noam Shazeer, who argued in 2023that it was fine to deploy an AI “friend” “really fast.”
AI, Shazeer said, is “ready for an explosion like, right now, not like in five years when we solve all the problems.”
“It’s already not a great sign that he’s describing untested AI with what sounds like a failed slogan for the Hindenburg,” Oliver joked. “Because the thing about not waiting until you’ve solved all the problems with your product is you’re then launching a product with a shit-ton of problems.”
Also in Oliver’s crosshairs was OpenAI CEO Sam Altman, who he accused of “blithely” discussing how AI models inappropriately interact with children.
“There will be problems,” Altman said in a quoted interview before predicting that people will form “very problematic parasocial relationships” with AIs. “But society will have to figure out new guardrails,” and “society in general is good at figuring out how to mitigate the downsides.”
“Yeah, don’t worry, guys!” Oliver rejoined. “Sam Altman made a dangerous suicide bot that people are leaving alone with their kids but it’s up to us to figure out how to make it safe for him!”
Video
https://m.youtube.com/watch?v=Ykvf3MunGf8&fbclid=IwVERDUARfLZBleHRuA2FlbQIxMABzcnRjBmFwcF9pZAwzNTA2ODU1MzE3MjgAAR5xInuyTpYYoRwuhGCrGMYxEYf-R2sNubmdejilAXQ9oT7jCUJRpbQd63Unpw_aem_SUZMYt6t5tWI3Kjh9BFM1w
Tomi Engdahl says:
https://www.euronews.com/next/2026/04/28/an-ai-agent-deleted-a-companys-entire-database-in-9-seconds-then-wrote-an-apology
Tomi Engdahl says:
Claude-powered AI coding agent deletes entire company database in 9 seconds — backups zapped, after Cursor tool powered by Anthropic’s Claude goes rogue
News
By Mark Tyson published 2 days ago
PocketOS founder blames ‘Cursor running Anthropic’s flagship Claude Opus 4.6’ plus Railway’s infrastructure for data disaster.
https://www.tomshardware.com/tech-industry/artificial-intelligence/claude-powered-ai-coding-agent-deletes-entire-company-database-in-9-seconds-backups-zapped-after-cursor-tool-powered-by-anthropics-claude-goes-rogue
Tomi Engdahl says:
No Tip
Dark Cloud Gathers as Bill Comes Due for AI Industry
Cheap AI access is “no longer sustainable.”
https://futurism.com/artificial-intelligence/dark-cloud-bill-comes-due-ai-industry?fbclid=IwVERDUARfS7hleHRuA2FlbQIxMABzcnRjBmFwcF9pZAwzNTA2ODU1MzE3MjgAAR6J0LFjvdfARYno3gOBvyDs5qgYu-9D9I0oyiE-O0Wy57F5oNhXme351ZdvNg_aem__RtIs3XW4CK0MQcIHubUFQ
AI companies have swept customers onto the bandwagon by offering cheap and even free access to their AI models. But the bill is finally coming due, and the results could be ugly.
Earlier this month, Microsoft’s GitHub Copilot customers were informed that they would have to reduce their usage of the AI coding tool because of the “significant strain” placed on company servers. It also nixed free trials for new accounts, citing abuse of the system.
Tomi Engdahl says:
Modern day Luddites
Zoom In
Gen Z Sabotaging AI at Work So It Won’t Take Their Job
They’re fed up.
https://futurism.com/artificial-intelligence/zoomers-ai-sabotage?fbclid=IwdGRjcARfupZjbGNrBF-6XWV4dG4DYWVtAjExAHNydGMGYXBwX2lkDDM1MDY4NTUzMTcyOAABHoKHwvtwhXJZdEhc4DicVVf5YGxinTf7rtTl_tPv3ihXTHPhHQSJMQ_9tTMV_aem_4KRJ8zAYDx03I4J5DXnmWg
Is artificial intelligence taking our jobs in a sweeping overhaul of the productive economy as we know it? It’s a burning question with no definitive answers, but some workers aren’t waiting around to find out — and fighting back.
A new report by the AI company Writer and research firm Workplace Intelligent found a massive portion of workers across the US, UK, and Europe are intentionally trying to sabotage their bosses’ AI initiatives.
https://go.writer.com/ai-adoption-enterprise-2026?fbclid=IwVERDUARfuudleHRuA2FlbQIxMABzcnRjBmFwcF9pZAwzNTA2ODU1MzE3MjgAAR5gYa__F09gNqKct1phsj6Vmog2-9lP12Hm0OLvkTZbmnMohikC1bs-4UVj2Q_aem_F6yIlfH36P8UCMlzx7hLzw
Tomi Engdahl says:
Google Signs Classified AI Deal With Pentagon Amid Employee Opposition
https://www.theinformation.com/articles/google-signs-classified-ai-deal-pentagon-amid-employee-opposition
Tomi Engdahl says:
Too Little, Too Late
OpenAI Just Published an Absolutely Bizarre Blog Post
Mindboggling.
https://futurism.com/artificial-intelligence/openai-just-published-an-absolutely-bizarre-blog-post?fbclid=IwdGRjcARf-jxjbGNrBF_4CGV4dG4DYWVtAjExAHNydGMGYXBwX2lkDDM1MDY4NTUzMTcyOAABHoe52ELwSe1NuHcyEh3FSAmHOIvbWV7IWoMreNlUtzPvpLL6T6RaPCGEaOZB_aem_9i7xQGRWBwVvdhUK-rtU3A
Tomi Engdahl says:
https://openai.com/index/our-commitment-to-community-safety/
Tomi Engdahl says:
No Tip
Dark Cloud Gathers as Bill Comes Due for AI Industry
Cheap AI access is “no longer sustainable.”
https://futurism.com/artificial-intelligence/dark-cloud-bill-comes-due-ai-industry?fbclid=IwdGRjcARhIrxjbGNrBGEii2V4dG4DYWVtAjExAHNydGMGYXBwX2lkDDM1MDY4NTUzMTcyOAABHoZVEkBg2yyoK5VE5KCO0qHMLGwn3bgFYuKOYMMOkzWywGf9c1NMOcyqJdLV_aem_uGHoXch1wYsdlUIfl9RL_Q
AI companies have swept customers onto the bandwagon by offering cheap and even free access to their AI models. But the bill is finally coming due, and the results could be ugly.
Earlier this month, Microsoft’s GitHub Copilot customers were informed that they would have to reduce their usage of the AI coding tool because of the “significant strain” placed on company servers. It also nixed free trials for new accounts, citing abuse of the system.
Now, the popular development platform is doubling down on its cost-cutting regime. On Monday, it announced that all GitHub Copilot plans will be moved to usage-based billing, charging customers based on the number of tokens their AI tasks consume.
GitHub said the change, which will go into effect on June 1, “aligns Copilot pricing with actual usage and is an important step toward a sustainable, reliable Copilot business and experience for all users.”
The company is replacing its previous “premium request units” with “GitHub AI Credits.” With the old system, users could carry out a fixed number of these intensive “premium” requests. Some requests required more units, but the actual real-world cost of performing them wasn’t factored in.
With the new system, the AI credits are directly tied to the number of tokens a request consumes. Subscribers will get an allotment of AI credits equal to the dollar amount they’re paying each month — so a user on a $10 per month plan gets $10 in monthly AI credits — and will need to pay for additional credits.
Tomi Engdahl says:
Microsoft’s GitHub isn’t the only company heading down this route. Anthropic has repeatedly tinkered with Claude code rate limits, and recently began imposing tighter limits during peak hours. It also experimented with cutting off Claude Code access to its lowest-tier paid users, drawing alarm from users. Google imposed weekly limits on its AI coding environment Antigravity earlier this year.
https://futurism.com/artificial-intelligence/dark-cloud-bill-comes-due-ai-industry?fbclid=IwdGRjcARhI3tjbGNrBGEii2V4dG4DYWVtAjExAHNydGMGYXBwX2lkDDM1MDY4NTUzMTcyOAABHoZVEkBg2yyoK5VE5KCO0qHMLGwn3bgFYuKOYMMOkzWywGf9c1NMOcyqJdLV_aem_uGHoXch1wYsdlUIfl9RL_Q
Tomi Engdahl says:
Cheap AI access is “no longer sustainable.”
Tomi Engdahl says:
I built a local LLM server I can access from anywhere, and it uses a Raspberry Pi
https://www.xda-developers.com/i-built-a-local-llm-server-i-can-access-from-anywhere/
I’m a fan of hosting my own large language models, partly because I want to avoid sending prompts and files to external servers, and also because I don’t want to waste extra money on subscription fees every month. In fact, I’ve been hosting LLMs across my GTX 1080, RTX 3080 Ti, and MacBook M4 since late 2025, and they’ve worked well for all my AI-powered needs, be it extracting text from documents, helping me troubleshoot random errors in my server experiments, or controlling my smart home with voice commands.
But I wanted to see how far I could take my LLM escapades, so I figured I could try hosting some models on my Raspberry Pi 5 (8GB). Well, it’s not going to replace Perplexity, ChatGPT, or other cloud providers by any means. But it’s semi-decent at running tiny LLMs on its own web UI, and even remains accessible from remote networks.
I chose llama.cpp as the local LLM provider
But Ollama works well for a straightforward setup
I went with the Raspberry Pi OS Lite, as it’s light enough for this project and includes essential QoL services, and enabled SSH to access it from my main PC.
With the distro configured, I had a couple of tools I could choose for managing my LLMs. I initially wanted to opt for Ollama due to its simple setup process, but it’s far from efficient and lacks sheer performance. In the end, I opted for llama.cpp, which is faster than Ollama and remains compatible with most of the AI-powered tools I use every day. Just to make things a bit easier on myself, I went with the homebrew package manager to install llama.cpp. Setting up homebrew involved installing git via sudo apt install git -y before executing the /bin/bash -c “$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/HEAD/install.sh)” command.
Tomi Engdahl says:
This self-hosted tool makes my local LLMs feel exactly like ChatGPT, but nothing leaves my network
https://www.xda-developers.com/this-self-hosted-tool-makes-my-local-llms-feel-exactly-like-chatgpt/
Having spent the last couple of months tinkering with LLMs, I have to admit that these local models have boosted my productivity once I began pairing them with FOSS tools. So far, I’ve hooked my Ollama models to Blinko, Paperless-GPT, Karakeep, VS Code (via Continue.dev), and other self-hosted services, and their superior reasoning capabilities make LLMs perfect for tackling monotonous tasks.
Tomi Engdahl says:
The timing of Elon Musk’s lawsuit couldn’t be worse for OpenAI.
Clash of the Titans
If OpenAI Loses This Trial, It Could Effectively Be Eliminated in Its Current Form
The timing of Elon Musk’s lawsuit couldn’t be worse for OpenAI.
https://futurism.com/future-society/openai-collapse-weeks-elon-musk-lawsuit?fbclid=IwdGRjcARhKS1jbGNrBGEpD2V4dG4DYWVtAjExAHNydGMGYXBwX2lkDDM1MDY4NTUzMTcyOAABHhh9jNsiX28nkXNXV6WmG1uChH_U5f_fPM2_-3DBH09KD2Rzv3AJKct0GNlD_aem_lJr-zCHfNHzgQSVUyQOJNA
Little love has been lost between Elon Musk and Sam Altman.
The two billionaires have been openly feuding for many years now, despite founding OpenAI together over a decade ago. Musk left the organization in 2019 over disagreements with leadership — and the falling out has only grown since then.
Musk has filed several lawsuits against the ChatGPT maker, most recently alleging it had breached its fiduciary duties by turning what was once a non-profit “charity” into a profit-maximizing corporate behemoth. OpenAI denies these allegations, arguing that Musk was “motivated by jealousy” after being pushed out for demanding to merge OpenAI with Tesla and assume majority control.
The stakes rose exponentially this week as a trial for Musk’s lawsuit against the company, initially filed in 2024, kicked off in an Oakland courthouse. Musk is demanding that OpenAI to undo its recent conversion into a for-profit entity, sack Altman and his board, and $130 billion in damages, which his lawyers refer to as “ill-gotten gains.”
The anxiously-awaited legal proceedings could have vast implications not just for OpenAI — which is rumored to be plotting an IPO — but for the AI industry as a whole. OpenAI is shackled to most of the industry’s biggest players through multibillion-dollar contracts, meaning that if it were to make concessions, lose its status as a for-profit company, and its CEO, it could send major ripple effects across an already shaky industry.
If Musk were to win — a decision that could materialize at the end of an estimated three weeks of legal proceedings — the effects could tear apart the already-widening cracks in Silicon Valley’s all-in, trillion dollar bet on AI, effectively popping the “AI bubble” which experts have warned about for years now.
Analysts have long grown wary that the industry’s unprecedented levels of spending are making any hope of an eventual return on investment a long shot, meaning that a massive legal setback for OpenAI could therefore set off a powder keg of pent-up anxiety.
“The broader question of whether AI labs founded as charities can lawfully pivot into commercial enterprises would be settled, at least in California,”
Besides, plenty of damage has already been done. The trial “has already pried open Silicon Valley’s normally sealed boardrooms, surfacing diaries, Slack threads and HR memos that paint an unflattering portrait of OpenAI’s governance,” Nicholls noted.
It’s an especially precarious time for OpenAI, which has desperately consolidated its efforts to focus on its core offerings, including ChatGPT and a coding tool, by killing off distracting “side quests.”
The company is still bleeding billions of dollars every quarter, despite earmarking a whopping $600 billion in AI infrastructure expenses over the next four years.
Raking in enough cash to cover its astronomical spending spree could prove extremely difficult as well. As the Wall Street Journal reported this week, CFO Sarah Friar has warned internally that the company could fail to grow revenue fast enough to “pay for future computing contracts.” The company already missed its own internal user growth and revenue targets for 2025.
Where that leaves OpenAI’s plans for an IPO is anything but clear
“If Musk wins, it could result in the defeat of a key competitor in the race to AGI,” law professor and UCLA exec Rose Chan Loui told the BBC. “Whoever wins that race will have a lot of power.”
Musk has less to lose than Altman. But a victory could certainly bolster his position. He recently folded his (very much for-profit) AI startup xAI into his space company SpaceX, which is also expected to go public in the coming months at a record-shattering valuation of $1.75 trillion. By declaring victory over his archnemesis, Musk could aggregate even more influence over the industry.
A loss for OpenAI could hit an already exposed nerve as investors have long grown wary of an industry hellbent on spending as much money in as little time as possible without ever establishing a feasible, long-term business model. A high-stakes, popcorn-chomping “clash of the titans” lawsuit likely isn’t going to dispel that fear.
Tomi Engdahl says:
Setbacks and Slowdowns
OpenAI in Shambles as IPO Looms
It’s not looking good.
https://futurism.com/artificial-intelligence/openai-shambles-users-revenue-ipo?fbclid=IwVERDUARhKrdleHRuA2FlbQIxMABzcnRjBmFwcF9pZAwzNTA2ODU1MzE3MjgAAR65LgytLnpzeOboZMNPY0FUoIJbxB68KMnwq1WfT64odMQLc2qjWR6-JsA-wQ_aem_g-zdpdztUNLYCm8uUVG6LQ
OpenAI is still committed to a whopping $600 billion in AI infrastructure investments over the next four years, a gargantuan spending spree that requires the ChatGPT maker to make massive strides in attracting new users — and, to put it crassly, make far more money than it currently is.
The numbers don’t paint a flattering picture, with OpenAI barely crossing the $20 billion annualized revenue line last year. It certainly doesn’t bode well, considering the company’s rumored plans to go public later this year, a major transition that could shine a bright light on what’s sounding like a harrowing financial situation.
Tomi Engdahl says:
https://www.anthropic.com/research/Evaluating-Claude-For-Bioinformatics-With-BioMysteryBench?fbclid=IwdGRjcARhdWljbGNrBGF1Y2V4dG4DYWVtAjExAHNydGMGYXBwX2lkDDM1MDY4NTUzMTcyOAABHvP5YFFFBStcT5lc-za585IiCvi0b9OD-DC2ewGNndawr5heD_ezujo2z6u1_aem_C48KHl2rDCm3F69ZN1aN9A
Tomi Engdahl says:
Amazon vaatii: Tekoälyllä 10-kertainen työtahti tai potkut https://www.kauppalehti.fi/uutiset/a/bcad0eb3-f1bd-4055-8176-b02fc16bc851
Tomi Engdahl says:
Idiot Box
Amazon’s New AI-Generated “Podcasts” Shilling Every Imaginable Products Are Already Backfiring Spectacularly
On fake dog poop: “At four inches long, it’s sized perfectly for believability.”
https://futurism.com/artificial-intelligence/amazon-ai-generated-infomercials-backfiring?fbclid=IwdGRjcARh8mJjbGNrBGHySGV4dG4DYWVtAjExAHNydGMGYXBwX2lkDDM1MDY4NTUzMTcyOAABHi–RKvkNcrnnryQxMikQBDcxm0y_vLcdr-xUwaWdZNBad-wBrRLgIqKcaKk_aem_sb4H7VYqNDzkvpOMgYIisA
Companies keep forcing AI features to do things that no one ever thought they needed, or indeed ever conceived of.
In this unfortunate category, Amazon’s new feature for generating mini-podcast segments that shill for products on its shopping platform really takes the cake.
The bizarre feature was spotlighted by Katie Notopoulos at Business Insider, who recorded the Amazon AI’s pathetic attempt of portraying an engaging discussion on just about the dumbest thing for anyone to talk about at length: adult diaper rash cream.
Imagine the most grating podcast advert in the world. Not the kind where a pre-made commercial plays, but when the hosts have been paid by a brand to talk about its product, leveraging their “authentic” personas to wax lyrical about an AI business platform or weird supplement. It’s kind of like that, but somehow vastly worse.