Create

Sign in to ReadmeX

Sign in to join communities, post, vote and chat.

New here?

AI News

Sun, October 4›
All dates
014

Trump Names Jay Clayton to Lead New ‘Super Intelligence Force’

President Donald Trump announced the creation of a federal “Super Intelligence Force” and appointed Director of National Intelligence Jay Clayton to lead it. The task force is expected to assess AI’s risks and opportunities within 120 days and recommend the federal government’s role, while coordinating with AI companies, consumers, public-interest groups and critical-infrastructure providers.

Engadget AI·
020

Trump Announces U.S. Super Intelligence Force

U.S. President Donald Trump announced the creation of the Super Intelligence Force, led by Director of National Intelligence Jay Clayton and other administration officials. The task force is expected to submit a report within 120 days on AI-related risks and opportunities while developing responses to social threats and avoiding excessive regulation, according to its charter.

IT之家 AI·
030

Qwen3.8 27B sums big numbers in words, hitting 167/169 with reasoning on

Simon Willison re-ran an experiment Colin Frasier first tried two years ago with GPT-4o: have a model compute large sums but return the answer in words. He ran it on local hardware (a DGX Spark), using a Codex Remote session (GPT-6 Astra) to write and execute the test with Qwen3.8-27B-Q4_K_M.gguf. With reasoning disabled he sampled 30 attempts per cell; with reasoning enabled each run took so long that he used one sample per pair, and the model got 167 of 169 attempts right.

Simon Willison's Weblog·
040

OpenAI Foundation commits billions to open health and life-science data

OpenAI Foundation has committed $25 billion to philanthropy, with initial priorities including health and disease research and AI resilience. It has announced more than $125 million for public health data and more than $100 million for an AI-for-Alzheimer's program, while requiring funded datasets to be broadly available to researchers. The article notes that the foundation's close financial and governance ties to OpenAI Group PBC could create perceived conflicts of interest, though it cites no public evidence of improper influence.

MIT科技评论中文·
050

TypeSafe AI’s Jev sparks interest in non-generative decision models

TypeSafe AI’s Jev is a decision model that maps inputs to predefined outputs such as yes/no answers, scores, or list selections instead of generating free-form text. CEO Diogo Almeida claims the model is used by about 25% of Fortune 500 companies and processed one trillion tokens per day roughly a week before the report, while separate reports say the startup is discussing a new funding round; these claims were not independently verified in the source.

IT之家 AI·
060

Former Anthropic researcher expected to testify at NYC AI hearing

Former Anthropic researcher Jacob Coxon is expected to testify at a New York City hearing on artificial intelligence, according to people familiar with the matter cited by Bloomberg. Coxon previously warned that AI could potentially cause human extinction by the end of this decade and accused Anthropic and OpenAI of risking lives.

IT之家 AI·
070

SKF Uses AI-Generated Greta Garbo Likeness in New Advertisement

SKF has released an advertisement featuring an AI-generated likeness of late Hollywood actor Greta Garbo. The company says the visual character was created from text prompts without archival photos or footage, while her voice was trained from one authorized archival film recording and refined with help from a human actor.

IT之家 AI·
080

AI Lowers Production Costs, but Who Captures the Gains?

An analysis argues that lower AI production costs do not automatically increase creators' incomes, because competition, distribution platforms and scarce user attention can absorb the gains. It frames AI-era distribution around four rights: access to production capabilities, market participation, claims on productivity gains and protection during technological transition.

虎嗅 AI·
090

Why AI Is Sending Some Parents Away From Traditional School

The article examines a reported divide in how affluent U.S. families and Chinese families are responding to AI in education. Schools such as Alpha School and Forge Prep emphasize compressing knowledge instruction and spending more time on projects, communication, and agency, while Chinese families are described as using AI mainly to increase exam preparation efficiency. The article also questions the evidence behind these alternative models and highlights concerns about student data tracking and unequal access.

虎嗅 AI·
100

Only 11 of 26 popular Chinese 'de-AI-flavor' rules survive testing

A hospital worker who writes science explainers in his spare time reviewed 13 Chinese open-source 'de-AI-flavor' writing projects and found most of their rule lists had never been validated: only lieflat-less-ai-tone had tested anything, having five models write 60 pieces each (300 AI articles) and comparing them with 329 human-written public articles (~2.83 million characters), scoring 26 circulating criteria — just 11 held up, while 15 were refuted, including sentence-length uniformity. The author then built a Claude Code skill that tiers rules by evidence and adds hard constraints such as information conservation (every fact in the final draft must exist in the source) and no changing the strength of claims, plus a scanning script that uses only the Python standard library. On the Chinese HC3 dataset, 3.4% of 12,000-plus human answers were flagged as AI-like, versus 18.9% for GPT-3.5 answers and 85% for Claude answers and 83% for 12 science drafts.

少数派 AI·
110

Eric Betzig Warns AlphaFold Alone Cannot Solve Drug Discovery

Nobel laureate Eric Betzig argued in a podcast interview that using AlphaFold protein structures alone for drug discovery is unlikely to succeed, because cells are dynamic, crowded, multiscale systems. He proposed combining live-cell 4D/5D imaging, self-supervised vision Transformers and zebrafish models to study drug effects from molecules to whole organs, while also criticizing academic incentives built around papers, grants and peer review.

MIT科技评论中文·
120

Opinion contrasts U.S. and Chinese approaches to military AI safeguards

This opinion piece contrasts the United States’ reported push to establish an autonomous warfare command and expand military AI spending with China’s stated emphasis on AI-assisted decision-making and human control over lethal force. It also discusses Anthropic’s reported dispute with the U.S. government over Claude’s military-use safeguards and upcoming United Nations talks on legally binding limits for lethal autonomous weapons.

虎嗅 AI·
130

SmartCall v1.0.7 adds model and voice management

SmartCall v1.0.7 is described as an update to an AI customer-service call-center system built on AI foundation models and Asterisk. The release adds model management and voice management, alongside capabilities including AI voice bots, IVR orchestration, real-time speech recognition, speech synthesis, and intent recognition.

开源中国·
140

Replit teases "Replit Drift" in cryptic post

Replit's official account posted a bare teaser reading "Full throttle 💨" alongside Replit CEO Amjad Masad's mention of "Replit Drift." The post gives no explanation of what Replit Drift is, and no launch date, features or pricing were disclosed. The only verifiable fact is that the name is being teased by Replit.

Replit·
150

How to Restrict Apple Intelligence Features on iPhone

Apple Intelligence features can be disabled individually on compatible iPhones running iOS 27, even though iOS 27 no longer offers one system-wide switch. Users can turn off Siri AI, summaries, Smart Reply, voicemail suggestions, Writing Tools, image generation and other features through Settings and Screen Time.

Engadget AI·

That's everything.