All Updates
Page 1783 of 1941
March 1, 2026
Qwen-Code v0.11.0 Nightly Release
Qwen-code has released the nightly build v0.11.0-nightly.20260301.14df5a57. The full changelog covers changes from v0.11.0 to this latest snapshot. Developers can access it via the Qwen GitHub releases page.
NIST Caps Foreign Scientists at 3 Years
US NIST quietly implemented a policy limiting foreign graduate students and postdocs to a maximum of 3 years amid quantum talent shortages. The rule includes nationality-based risk tiers, top-level approvals, and hiring proofs of no US alternatives, sparking internal outrage and congressional scrutiny.
Anthropic's self-governance trap
Anthropic, OpenAI, Google DeepMind and others have promised responsible self-governance. In the absence of external rules, little protects them from risks. This creates a self-built trap for AI labs.
February 28, 2026
Japanese CEOs Cautious but Responsible on AI
BCG forecasts corporate AI investment rising to 1.7% of sales, with over 30% allocated to AI agents. The report emphasizes the need for cautious yet responsible leadership from CEOs to boost competitiveness in the AI era.
Hitachi Launches GenAI Cutting Pharma Docs 50%
Hitachi starts domestic sales of Shionogi's generative AI solution for regulatory document creation. It reduces clinical trial report times by up to 50%, aiming to accelerate drug development and ease workloads.
Ctrip's Profit Mirage Amid Founder Exodus
Ctrip reports record 2025 profits largely from asset sales, not core tourism ops which show slowing growth and rising costs. High market dominance sparks monopoly fears; AI poses existential threat to OTA model.
DoD Tags Anthropic as Supply Chain Risk
US Defense Secretary Hegseth directs designating Anthropic a 'supply chain risk' for rejecting AI safety measure removal. This marks the first such action against a US company, with Anthropic vowing to fight in court.
OpenAI DoD Deal, Eases Anthropic Tension
OpenAI agreed with US DoD on AI deployment in classified networks, post-Trump admin's Anthropic exclusion. Implements safety via cloud-only ops and clauses barring autonomous weapons use. Seeks to moderate gov's hardline stance for industry balance.
China's Iron Rice Bowl vs AI Shock
Spring Festival Gala featured humanoid robots performing break-dance, flips, sword swings, and comedy, showcasing domestic AI brands. This display occurs amid AI's potential job disruption, contrasted with China's 'iron rice bowl' lifetime employment security. The article posits China's economy may better endure the AI shock.
17.8M Diffusion Model Beats 143.8M on RTX 2050
Researchers trained and benchmarked four diffusion model versions entirely on an RTX 2050 GPU with just 4GB VRAM. Surprisingly, the smallest 17.8 million parameter model outperformed the larger 143.8 million parameter model. Shared on Reddit's r/LocalLLaMA, this demonstrates efficient training on consumer hardware.
Claude Rises to No. 2 in App Store Amid Pentagon Dispute
Anthropic’s Claude chatbot app has climbed to the No. 2 spot in the App Store. This surge follows increased public attention on the company’s tense negotiations with the Pentagon.
Billion-Dollar AI Infra Deals Power Boom
The article details the biggest AI infrastructure projects backed by billions in spending from Meta, Oracle, Microsoft, Google, and OpenAI. These deals are fueling the ongoing AI boom by scaling compute and data resources.
Qwen3.5 Running Notes & Optimal Settings
A Reddit user shares hands-on experience with the Qwen3.5 model family, highlighting their consistent family traits, strong adaptability to prompting, and sensitivity to inference settings in llama.cpp. Key recommendations include temp 0.6, repeat-penalty 1.4 for 35B to prevent looping, and avoiding KV cache quants. The models excel with system prompts for deeper analysis beyond surface-level responses.
ML Engineers: 2026 Industry Expectations
A Reddit post in r/MachineLearning seeks discussion on industry expectations for Machine Learning Engineers in 2026. Submitted by u/AccomplishedCat4770 with link to comments. No detailed content provided in the excerpt.
Proprietary Fine-Tuning Deployment Nightmares
Fine-tuning on sensitive client data faces massive non-technical hurdles like data access logs, compliance, and contracts. Providers like Together, Fireworks, Replicate require legal reviews delaying ML work. DeepInfra chosen for quick compliance clearance.
Alaska Passes AI CSAM and Kids Social Media Bill
Alaska's House unanimously passed HB47, banning AI-generated CSAM and deepfakes of children while imposing social media limits on minors like curfews from 10:30 PM to 6:30 AM, addictive feature bans, and age verification with parental consent. The bill, amended from its original AI focus, heads to the Senate after modeling Utah's approach. Some representatives raised concerns about broad rules without platform input.
BYD Denza Z9 GT Claims World's Longest EV Range
BYD's Denza Z9 GT claims the world's longest-range EV title. It pushes electric driving beyond 1,000 km on a single charge. This challenges Tesla as its biggest rival in range.
Demand for 60-70B MoE with 8-10B Active Params
A Reddit post in r/LocalLLaMA asks if others await a 60-70B Mixture of Experts (MoE) model with 8-10B activated parameters. This size is seen as ideal for 64GB VRAM, potentially matching closed 'flash' models' performance. The poster notes the absence of mid-sized MoE models between ~30B and ~120B.
ChatGPT Misleads Health Outbreak Probe
Health officials investigating a puzzling outbreak consulted ChatGPT, which suggested cold beer and contaminated ice as culprits. The AI convincingly provided an explanation that steered the probe astray. This incident highlights risks of LLM hallucinations in critical investigations.
Qwen3.5 35B-A3B Replaces Dual-Model Agents
Qwen3.5-35B-A3B single-handedly handles reasoning, coding, and analysis on M1 64GB Mac, outperforming prior two-model setups. Runs at 27 tok/s via llama.cpp, delivering better Amazon sales analysis results. Disables thinking mode for optimal speed-quality balance.