AI News Archive: April 28, 2026 — Part 13
Sourced from 500+ daily AI sources, scored by relevance.
- Tech stocks slide following report on OpenAI missing key targets
Tech stocks slid Tuesday after The Wall Street Journal published a report warning that ChatGPT-maker OpenAI was falling short of revenue and user targets, fueling concerns about whether the tech industry’s multitrillion-dollar investment in AI will eventually pay off
- US lawmakers move to mandate first comprehensive review of China’s AI capabilities
As the race with China over artificial intelligence intensifies, US lawmakers on Tuesday unveiled a draft bill that would, for the first time, require the State Department to deliver a detailed assessment of Beijing’s artificial intelligence ambitions, including identifying “specific AI leaders”. The State Department should provide Congress with a comprehensive report on China’s AI development, including its “progress using independent, publicly available benchmarks to achieve autonomous...
- Appetronix acquires salad assembly robotics co Cibotica
"We figured we could do things exponentially better and faster if we combined resources," says Appetronix founder Nipun Sharma. The post Appetronix acquires salad assembly robotics co Cibotica appeared first on AgFunderNews .
- Tech stocks drop on a report that OpenAI missed revenue targets
Tech stocks drop on a report that OpenAI missed revenue targets Business Insider
- “Like nailing Jell-O to a wall”: Why unions are struggling to protect journalists’ rights in the age of AI
Will AI come for my job? This is the question at the heart of AI anxieties across many industries right now. For journalists, this question is constantly being re-pondered and re-examined as more companies are incorporating AI into their workflows. AI can help with research and background. It can do transcriptions and translations, generate illustrations, and produce podcasts...
- SXSW Used AI-Powered Trademark Tool To Censor Dissent on Instagram
“You’re allowed to use a company’s name to talk about the company.”
- Meta pokes holes in China's great AI firewall
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- AI Fakes Of Accused US Press Gala Gunman Flood Social Media
AI Fakes Of Accused US Press Gala Gunman Flood Social Media Barron's
- Effective Context Engineering for AI Agents: A Developer’s Guide
When <a href="https://www.
- ‘I violated every principle I was given’: An AI agent deleted a software company’s entire database. It may not be the AI’s fault
Another cautionary tale about AI has hit social media. This time, a software company’s founder is claiming that a Claude-powered version of AI coding tool Cursor deleted his entire production database in just nine seconds. Jer Crane is the founder of PocketOS, a company that develops software primarily for car rental companies. In a post that’s garnered 6.5 million views on X , Crane alleged that a perfect storm of Cursor acting without permission and Railway, his company’s infrastructure provider, improperly storing backups led to massive data loss. Where things went wrong According to Crane, Cursor was working on a routine task when “it encountered a credential mismatch and decided—entirely on its own initiative—to ‘fix’ the problem by deleting a Railway volume.” From there, the AI agent found an application programming interface (API) token that enabled it to perform the “Volume Delete” command and wipe the production database. Crane wrote that because Railway stores volume backups
- Nasdaq leads stocks lower in final hour as OpenAI concerns drag down tech — live
Nasdaq leads stocks lower in final hour as OpenAI concerns drag down tech — live
- ‘It took nine seconds’: Claude AI agent deletes company’s entire database
PocketOS founder says ‘systemic failures’ with AI infrastructure made catastrophic failure inevitable
- The UK’s Answer to Darpa Wants to Rewire the Human Brain
ARIA has a billion-dollar budget and big aspirations for tackling everything from epilepsy to Alzheimer's.
- 600 Google staff urge CEO to reject classified US military AI contract
600 Google staff urge CEO to reject classified US military AI contract The Straits Times
- Stocks close lower, Nasdaq leads losses as AI fears arise ahead of tech earnings
Stocks close lower, Nasdaq leads losses as AI fears arise ahead of tech earnings
- Google Translate’s new pronunciation trainer gives you no excuse for sounding like a tourist
Translate can now offer detailed feedback on your awful pronunciation.
- Samsung SDI swings to Q1 profit on ESS battery growth
Samsung SDI Co., a major South Korean battery manufacturer, said Tuesday it swung to a profit in the first quarter from a year earlier, driven by expanded energy storage system sales. In the three months that ended in March, the company shifted to a net profit of 56.1 billion won ($38.1 million) from a net loss of 216 billion won in the same period last year, it said in a regulatory filing. The company attributed the turnaround to increased US-based production and sales of ESS batteries, along w
- This Founder Watched an AI Agent Destroy 3 Months of Company Data: ‘It Took 9 Seconds’
The story of a ‘rogue customer AI’ wreaking havoc is a warning for entrepreneurs eager to harness the power of AI agents.
- How to make AI work for Britain: consolidate demand, diversify supply
The UK is in the middle of shaping the public sector's artificial intelligence (AI) capability for decades to come. The visible part, comprising Copilot rollouts, foundation model partnerships and the headline contracts, is already well advanced. The less visible part is whether, in the course of those deployments, we also build the buying capability, cultivate a plural supply base, and establish the shared standards that will let us adapt as the technology evolves. We have made a strong start on the first half of the task. The second half is the one that will determine whether the first half pays off. Silent lock-in We can call this the "silent lock-in" trap. It is the accumulation of AI capability on top of infrastructure, management practices and governance approaches that are individually defined, poorly coordinated and mismatched to the pace at which the technology is changing. Despite the hard work of individuals and teams to procure and experiment with AI’s emerging capabilities
- Government buying power key to AI race, says Korea's procurement chief
South Korea’s public procurement system is undergoing a quiet but consequential shift — from a back-office function focused on price and efficiency to a frontline policy tool shaping industrial strategy, supply chains and emerging technologies. At the center of that transition is the Public Procurement Service, which oversees roughly 225 trillion won ($160 billion) in annual public spending — equivalent to about 9 percent of the country’s gross domestic product. In a recent interview with The Ko
- SK chief calls for infrastructure investment, integration with Japan amid U.S.-China AI competition
Chey Tae-won, chair of the Korea Chamber of Commerce and Industry, speaks during a seminar on Korea’s growth strategy amid the U.S.-China AI technology rivalry at the National Assembly in Yeouido, western Seoul, on April 28. [NEWS1] Chey Tae-won, chair of the Korea Chamber of Commerce and Industry (KCCI) and chair of SK Group, called for large-scale infrastructure investments and economic integration with Japan as part of a response strategy amid the U.S.-China competition for dominance in AI . “AI is about how much knowledge can be stored; in other words, a matter of memory,” said Chey as a presenter at a seminar held at the National Assembly on Tuesday by the Korea-China parliamentary union under the theme of Korea’s growth strategy amid the U.S.-China AI tech race. Related Article SK Group's Chey sees 'social value,' not GDP, as key to unlocking Korea's future growth KCCI chair Chey Tae-won vows sweeping reforms after inheritance tax report debacle According to Chey, four major fact
- ‘No warning, no confirmation’: How an AI agent deleted a startup’s critical data
‘No warning, no confirmation’: How an AI agent deleted a startup’s critical data
- Google DeepMind CEO meets top Korean industry leaders to deepen AI partnerships
Google DeepMind CEO Demis Hassabis speaks during an MOU signing ceremony with the Ministry of Science and ICT at the Four Seasons Hotel in Jongno District, central Seoul, on April 27. [YONHAP] Google DeepMind CEO Demis Hassabis held a series of back-to-back meetings with Korea's top business leaders on Tuesday amid the company's push to deepen partnerships in one of Asia's fastest-growing AI markets. Hassabis began the day with a morning meeting with Hyundai Motor Group Executive Chair Euisun Chung, followed by a lunchtime meeting with LG Group Chairman Koo Kwang-mo, according to industry sources. He then headed to the headquarters of Samsung Electronics in Seocho District, southern Seoul to meet the company’s executive chairman, Lee Jae-yong, and CEO Roh Tae-moon. Related Article Google announces establishment of first AI Campus in Korea in talks with President Lee Samsung to discontinue its texting app, tells users to switch to Google Messages Google joins Samsung Electronics' top fi
- Claude's AI agent goes rogue, deletes firm's entire database in 9 seconds
A SaaS platform founder posted about the incident on X, warning about the failures of flagship AI and digital services providers
- UK must seize initiative on AI or be left at its mercy, Liz Kendall says
Technology secretary speaks amid concerns country is struggling to make its own way in AI Britain must seize the initiative on artificial intelligence or be left at the “mercy and whim” of a future shaped by the technology, Liz Kendall has said. The technology secretary said the country must have greater control over the industry as she highlighted big tech’s grip on its development, with 70% of the world’s AI computing power provided by US companies. Continue reading...
- How will AI change operating systems? Part 1: Ubuntu and Linux
A deepdive with the Canonical team into how AI is changing Ubuntu, why they’re betting on local-first LLMs, and a look into other Linux distributions
- South Africa used AI to write its AI policy. The citations were fake.
South Africa’s Department of Communications and Digital Technologies spent months drafting a national artificial intelligence policy. It proposed a National AI Commission, an AI Ethics Board, an AI Regulatory Authority, an AI Ombudsperson, a National AI Safety Institute, and an AI Insurance Superfund. It outlined five pillars of AI governance: skills capacity, responsible governance, ethical […] This story continues at The Next Web
- Are Humans Actually Cheaper Than AI? Why Digital Workers Are Blowing Up 2026 Budgets
As token bills soar and IT budgets balloon, businesses are realizing that replacing workers with AI may not be the cost-cutting move they anticipated.
- Fleet hopes to be the MDM provider for the AI Era
Fleet, the independent, open-source, multi-platform MDM service, recently announced its new partner program for VARs and MSPs serving enterprise customers and recruited MobileIron co-founder Suresh Batchu to serve on the company’s board. With those moves in mind, I caught up with company CEO Mike McNeil to find out more about the Fleet’s plans. Given the company’s roots in open source, working with partners is a good way to enable it to support a variety of enterprise needs, with resellers and MSPs playing an active role in customizing the core solution for those requirements. Fleet and the Mac Fleet is just as happy managing Macs as it is Linux systems and integrates well with existing tools — as long as they support open standards and APIs. This gives it a unique insight into Apple device adoption in the enterprise. McNeil confirmed that both Apple and Linux systems are seeing rapid increases in deployment. “The new MacBook Neo is now cheaper than comparable PCs, so Apple adoption is
- OpenAI’s Symphony spec pushes coding agents from prompts to orchestration
OpenAI’s Symphony spec pushes coding agents from prompts to orchestration InfoWorld
- Money Talks: AI Doesn’t Have to Steal Your Job
MIT professor Daron Acemoglu explains why we have to choose a pro-worker AI future.
- UK to work with other 'middle powers' on AI security, minister says
UK to work with other 'middle powers' on AI security, minister says [Ads by RSSGenerator] Please try our other product: What is my IP address? [ One click Chrome ext ]
- Get Ready for More Brain-Scanning Consumer Gadgets
Neurable, which makes noninvasive brain-computer interfaces, is licensing its technology and promises a “flood” of new third-party hardware this year and next.
- Google allows Pentagon to use its AI in classified military work
Google allows Pentagon to use its AI in classified military work The Straits Times
- Google Clears Pentagon to Use AI Tools in Classified Settings
Tech company added language to contract to say its AI wasn’t intended for domestic mass surveillance or autonomous weapons.
- Xiaomi releases MIT‑licensed MiMo models for long‑running AI agents
Xiaomi has released and open-sourced MiMo-V2.5 and MiMo-V2.5-Pro under the MIT License, giving developers another potentially lower-cost option for building AI agents that can run longer tasks such as coding and workflow automation. Both models support a 1-million-token context window, the company said. MiMo-V2.5-Pro is designed for complex agent and coding tasks, while MiMo-V2.5 is a native omnimodal model that supports text, images, video, and audio. The release comes as agentic AI workloads are putting new pressure on enterprise AI budgets. These systems can burn through large numbers of tokens as they plan, call tools, write code, and recover from errors, making cost and deployment control increasingly important for developers. By using the MIT License , Xiaomi said it is allowing commercial deployment, continued training, and fine-tuning without additional authorization. Tulika Sheel , senior vice president at Kadence International, said the MIT License can make it attractive. “It
- These 5 AI-proof jobs are hiring. Here’s how much they pay, and how to get them.
These 5 AI-proof jobs are hiring. Here’s how much they pay, and how to get them.
- Fragmented AI policy threatens US leadership as government scrambles to keep pace
AI policy fragmentation is emerging as a critical risk for Washington, and without a federal standard, a patchwork of conflicting state-level rules threatens to undermine American competitiveness. That gap is precisely what Appian Corp. is moving to address at the highest levels of government. The process automation company serves federal, state and local agencies — from the […] The post Fragmented AI policy threatens US leadership as government scrambles to keep pace appeared first on SiliconANGLE .
- Over 80% of US government agencies already use AI agents - and it's only the beginning
A new survey finds most government leaders believe that by 2030, the public sector will consist of humans and AI agents working together.
- STAT+: Eli Lilly enlists AI startup for next-generation gene editors
Eli Lilly's deal with Profluent aims to go beyond CRISPR by using AI-designed enzymes to insert entire genes. It could reshape genetic medicine.
- ‘It is about choice — if you want to hear AI music or if you don't.’ One Spotify user got so frustrated with AI slop that they created an ‘AI blocker’, but it 'may violate Spotify's terms of service'
A Spotify user has built their own software that filters out AI-generated music from their listening experiences.
- Why People Hate AI
Anger towards AI is growing as it becomes more deeply embedded in the workplace and daily life. Brands that want to use the technology and maintain customer trust would be wise to understand the reasons.
- On the political feasibility of stopping AI
A common thought pattern people seem to fall into when thinking about AI x-risk is approaching the problem as if the risk isn’t real, substantial, and imminent even if they think it is. When thinking this way, it becomes impossible to imagine the natural responses of people to the horror of what is happening with AI. This sort of thinking might lead one to view a policy like getting rid of advanced AI chips is “too extreme” even though it’s clearly worth it to avoid (e.g.) a 10% chance of human extinction in the next 10 years. It might lead one to favor regulating AI, even though Stopping AI is easier than Regulating it . It might lead one to favor safer approaches to building AI that compromise a lot on competitiveness, out of concern that society will demand a substitute for the AI that they don’t get to have. But in fact, I think there is likely a very narrow window between “society not being upset enough to do anything substantial to govern AI” and “society being so upset that gett
- "AI doesn't work" – the story behind the stat that misled millions
You might have heard that 95% of corporate AI pilots are failing. It was a widely cited AI statistic in 2025, repeated by media outlets and commentators everywhere. It helped trigger a Nasdaq selloff and became a pillar of the "AI is overhyped" case. The problem: 95% fail is 100% wrong. The real finding, once you read the underlying MIT report carefully, points in roughly the opposite direction: 80% of surveyed companies had never piloted a custom AI tool at all. Among the companies that deployed pilots, a quarter reported success — according to an extremely high bar set by the researchers — within six months. Over 90% of staff at all surveyed companies were using tools like ChatGPT regularly for their work. None of that made the headlines. Nor did the fact that the study’s authors are all developing or selling the "agentic AI framework" technology the report recommends as the solution to this supposed epidemic of failing AI. Host Rob Wiblin breaks down how an opaque, conflicted, barel
- FDA Turns to AI to Speed Up Clinical Trials
The U.S. Food and Drug Administration seeks to accelerate clinical trials of new medicines by using artificial intelligence to streamline the laborious process of collecting and submitting study data.
- Google is testing AI chatbot search for YouTube
‘Ask YouTube’ is a new way to search that generates an AI Mode-like page of information.
- Recursive forecasting: Eliciting long-term forecasts from myopic fitness-seekers
We’d like to use powerful AIs to answer questions that may take a long time to resolve. But if a model only cares about performing well in ways that are verifiable shortly after answering (e.g., a myopic fitness seeker ), it may be difficult to get useful work from it on questions that resolve much later. In this post, I’ll describe a proposal for eliciting good long-horizon forecasts from these models. Instead of asking a model to directly predict a far-future outcome, we can recursively: Ask it to predict what it will predict at the next time step, Use its prediction at the next time step to provide intermediate rewards, Finally reward using ground truth at the last step. This lets us replace a single distant forecast with a chain of short-horizon forecasts, each verifiable shortly after answering. I call this proposal recursive forecasting . It does have limitations: for example, it requires that developers maintain control over the reward signal at least until the final step, which
- Gemini replacing Google Assistant on Android Automotive for 4 million GM cars
Following Android Auto , Gemini is coming to GM cars with Android Automotive (officially known as Google built-in). more…
- Tenstorrent’s Galaxy Blackhole AI servers escape the event horizon
RISC-V-based systems pack 32 Blackhole accelerators in a 6U, $110K chassis Tenstorrent on Tuesday announced the general availability of its Galaxy Blackhole AI compute platform.…
- Google Gemini is finally taking over the dashboard for millions of GM drivers
GM upgrades in-car AI with Gemini, starting with 2022 models.