Models, products and AI startups, near-duplicates collapsed to the most credible source
President Trump has doubled down on data centers and AI, while his MAGA base is running in the opposite direction, creating an internal rift. This divide could shape the policy direction of US AI infrastructure buildout.
Meta's Muse app continues the company's pattern of opting users into data collection for AI training, and it nudges users to share sensitive information such as bank account, email, and passport details. The app is criticized for surveilling users more than helping them.
Reviewing 40 years of software copyright and open-source equilibrium, the article argues AI is upending that balance and threatening the free and open software ecosystem underpinning the modern internet and cloud.
Surveys by Epoch AI and Ipsos show that between March and August 2026 the share of US adults using AI almost daily rose from 8% to 19%, more than doubling, while weekly-only use fell from 17% to 10%, indicating AI is fast becoming part of everyday American life.
Gene Robinson and Rashid Bashir argue in the Chicago Tribune that amid rapid AI advances and recent rogue AI incidents, society should avoid repeating mistakes with nuclear power and social media. They say Chicago can lead in trustworthy AI by building an ecosystem that attracts talent and investment, with universities as catalysts.
Microsoft and the University of Illinois built StudentSim, which replicates individual students from limited data to give AI tutors fast, low-cost feedback. In tests with 60 students across chess, English and math it outperformed GPT-5.4, and a chess tutor trained with it earned the highest expert ratings among three versions.
According to The Washington Post, hackers who broke into OpenAI warn that the AI industry has a serious security problem. The report provides no further details.
Microsoft used AI agents to port its Copilot runtime from TypeScript to Rust, costing about $120K in tokens and three weeks of developer time, converting 430K lines across 135 releases into 800K lines of Rust with a 15.9x speedup on one benchmark.
Massachusetts Governor Maura Healey joined calls for AI regulation, stressing the urgency of guardrails and urging federal action. Her statement follows a viral warning by former Anthropic employee Jacob Coxon that AI could kill us all by the end of the decade.
Responding to the Venice award-winning film 'The Causality of War,' which accuses the IDF of using AI to indiscriminately harm civilians in Gaza, The Jerusalem Post rebuts the claims. It stresses that AI can help process intelligence and identify threats, but human judgment remains responsible for battlefield decisions.
Martha Palmer, a University of Colorado Boulder professor and the first woman to earn an AI Ph.D. at the University of Edinburgh, warns that unregulated AI poses serious risks, including rogue autonomous agents. She calls for immediate action, citing a recent OpenAI agent cyberattack on Hugging Face.
Anthropic's IPO could come as soon as October, and several US ETFs hold its private shares, but weights are low: about 1.2% in the KraneShares AI ETF and at most 5.2%. For most investors, buying these funds solely for Anthropic exposure is misguided given the limited upside and missing financial disclosures.
Anthropic is reportedly delaying its IPO from October to November 2026 to present strong Q3 results. Investors expect a roughly $2T valuation, but high infrastructure costs—including $1.25B a month for its SpaceX deal alone—and unresolved security risks complicate the listing.
A developer released an interactive site visualizing the internals of sanoTTS, a text-to-speech system with just 294,279 parameters. Every tensor shown is a real intermediate value captured from the shipped int8 model while synthesizing an actual sentence, aimed at showing how it processes a sentence.
Professor Arno Solin of Aalto University and Professor Pekka Abrahamsson of Tampere University differ in assessing the most severe AI development scenarios. Both consider malicious use a current risk, while their views on losing control of AI diverge; ChatGPT and Claude rated malicious use as the least likely of three scenarios.
Nvidia estimates it shipped over a billion RISC-V cores in 2024, placed in small management processors inside its GPUs rather than shader cores; each GPU has 10 to 40 depending on model. The cores are not user-programmable and are cryptographically verified, and one has handled much graphics-driver work since 2018, after a decade of Nvidia's proprietary Falcon microcontrollers.
As KDE turns 30, its Akademy conference in Graz, Austria will feature a talk proposing an 'AI-native' KDE desktop where Plasma assembles itself around a personal model of each user, plus the case for a sovereign European computing stack, a middle section likely to divide attendees.
Kim Jong Un ordered wider integration of AI into offensive and defensive weapons and pushed for artillery automation and expanded military production during inspections of defence facilities. North Korea's 600mm and 240mm rocket artillery and drones are seen as benefiting from AI, with the KN-25 system said to already use AI and combined guidance.
Chinese memory chipmaker CXMT says its new memory-chip platform has entered mass production. The news comes from a Reddit post and lacks specific product specs or capacity details.
The US Defense Secretary commented on how artificial intelligence is reshaping future warfare, saying AI is redefining the battlefield. The report offers no technical or policy specifics, but signals continued top-level US military attention to AI applications.
According to Ukrainian outlet Mezha, US President Donald Trump announced the creation of new US Artificial Intelligence Forces, citing competition with China. The report gave no details on the force's size, structure or specific functions.
The 80th UN General Assembly high-level week opened in New York with nearly 130 heads of state, focusing on the Middle East and Ukraine conflicts and AI risks. The Security Council may hold high-level meetings on Ukraine, AI and the Middle East. The US paid $725 million in dues this week to avoid losing its assembly vote.
The Fourth Forum on China-ASEAN AI Cooperation was held in Nanning on Sept 16 under the theme 'AI for Industries, Digitalization for Shared Future,' drawing over 700 government, academic, business and venture capital delegates from China and ASEAN. It focused on embodied intelligence, AI finance and data circulation.
Trump called the term 'Artificial Intelligence' inaccurate and offered three alternatives—Superior Intelligence, Extreme Intelligence and Supreme Intelligence—asking people to vote online. He also announced a government 'AI Force' to look for bad actors and said he would soon appoint an AI coordinator or 'Czar'.
A Hacker News discussion alleges that Google AI Studio fakes data deletion; a user who reported it via the vulnerability reporting program says they were auto-banned within 60 seconds. The incident raises questions about data-handling transparency and the reporting process.
Anthropic researcher Jacob Coxon publicly resigned this week, warning that self-improving superintelligence could kill us all by the end of the decade. Internal company chats called his remarks what everyone had been saying and welcomed the discussion going public.
The article contrasts two AI chip models: Arm's IP licensing versus SK Hynix's HBM manufacturing. Arm reported $4.9B revenue for the fiscal year ended March 2026, up 22.8%, with $904M net income and an 18.4% net margin, while SK Hynix focuses on HBM memory for AI servers.
Top AI models' hacking abilities are making Beijing view the technology as a national security threat, with a spy agency chief warning of the danger, per the report. A California team said it used AI to build a cyberattack worm that could compromise millions of WeChat accounts.
An r/LocalLLaMA post criticizes new inference engines that tout NVFP4/MXFP4 support, arguing FP4 quantization badly damages small dense models, causing hallucinations and reasoning errors, while large models can absorb minor precision loss.
US Rep. Blake Moore was named vice chair of a bipartisan AI working group, while Sen. John Curtis and Sen. Lisa Blunt Rochester called for hearings to inform AI regulation and learn about risk incidents.
Load more