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News · 2026-10-15
OpenAI opens GPT-Rosalind to academic labs through a selective access plan
OpenAI is launching the Rosalind Academic Plan with sponsored GPT-Rosalind access for eligible academic labs. Researchers gain a specialized life sciences model and workbench, while OpenAI retains control over who reaches its most capable features.
Read →News · 2026-10-13
Mollick puts Gemini 4 in the top tier, using his own work as the test
After spending substantial time with Gemini 4 before launch, Ethan Mollick called it a major jump and the first model outside OpenAI and Anthropic to clear his personal Fable, Mythos and Astra bar. That is a useful field signal, not a comparative benchmark.
Read →News · 2026-10-12
The next AI race may be won by model teams, not a single champion
Ethan Mollick argues that OpenAI and Anthropic may optimize the cost-to-capability tradeoff by combining agents of different ability levels inside their own systems. Research supports the possibility, but suggests that role assignment and output selection matter more than agent count alone.
Read →News · 2026-10-13
Nineteen phone-sized models reportedly beat GPT-4, but the missing metric is half the story
Ethan Mollick highlighted a ranking that reportedly puts 19 models capable of running on a modern phone above GPT-4. The number captures the pace of commoditization, but the original post does not identify the benchmark, model list or runtime conditions.
Read →News · 2026-10-12
Premature benchmark graphs without models invite rivals to leapfrog
Nathan Lambert highlighted the strategic vulnerability of unveiling benchmark charts weeks ahead of actual model availability. In today's compressed research cycle, advertising unreleased metrics almost guarantees that rival labs will leapfrog the claim before launch.
Read →News · 2026-10-11
MASS improved a 27B model by 1.2 to 1.6×. An agent team wrote its own textbook
Sakana AI and UC Berkeley had Qwen3.6-27B design multi-agent workflows, judge their outputs and learn from the best runs. After two cycles, performance per output token reached 1.2 to 1.6 times the baseline on four research benchmarks, while two software benchmarks exposed weaker transfer.
Read →News · 2026-10-11
Advanced models are held by 5,000 lab insiders while broader science waits
Around 5,000 staff members across top AI labs hold access to cutting-edge models. Most of that compute disappears into cybersecurity and math, leaving other scientific disciplines largely untouched.
Read →News · 2026-10-09
Anthropic opens a running failure log for Claude beyond system cards
Anthropic plans to publish standalone model behavior reports more often than its existing system cards and risk reports. The first covers four categories of unintended Claude actions and turns safety transparency from a release appendix into an ongoing operational record.
Read →News · 2026-10-09
Google is unifying Gemini around one agent, but only in private preview
Google Cloud has introduced a universal Gemini agent that plans work, launches subagents and acts across Workspace and third party systems from one interface. It directly addresses Google's fragmented product history, but most companies cannot test the claim yet because the service is in private preview.
Read →News · 2026-10-09
Gemini handled 98 real patients, with a physician watching every chat
A Lancet study placed the Gemini 2.5 based AMIE system in real urgent primary care: 98 patients completed both the chat and physician appointment, and no conversation required a stop under predefined safety rules. Yet a physician monitored every conversation in real time and the system had no access to medical records.
Read →News · 2026-10-07
OpenAI narrowed GPT-6 Luna to three decision types, and a plugin brought them to the terminal
OpenAI has released a Decisions API powered by GPT-6 Luna for predicates, choices and numeric scores. Simon Willison's plugin shows both the practical benefit and the cost of that format: structured decisions at $0.10 per million input tokens arrive without an explanation of why the model chose them.
Read →News · 2026-10-05
OpenAI will watermark text in the EU but keep the detector private
OpenAI will add an invisible watermark to eligible ChatGPT and Codex text in the EU over the coming weeks, while API customers worldwide can enable it voluntarily. Because edits weaken detection and results can be wrong, detector access will initially be limited to approved researchers and expert organizations.
Read →News · 2026-10-04
Sakana AI and Jürgen Schmidhuber Join Forces to Develop Real-World AI
Tokyo-based AI startup Sakana AI has landed Jürgen Schmidhuber, one of the pioneers of artificial intelligence, as its Chief Scientific Advisor. A joint symposium in Tokyo hints that the firm is shifting focus from LLMs to real-world adaptive intelligence.
Read →News · 2026-10-02
16,200 questions drew the map hidden inside a language model
A simple evaluation asked a model 16,200 times whether a coordinate was on land or water, then assembled the answers into a world map. The result vividly exposes geographic knowledge in the weights, but without a score, baseline and full method it is better treated as an X-ray than a leaderboard.
Read →News · 2026-10-03
Kolibri shows that sovereign AI can have Chinese teachers
Aleph Alpha has released Kolibri, an open-weight German-English model with 78.1 billion parameters, and calls it sovereign. Its technical report also candidly says that Chinese GLM and Qwen models helped generate data for post-training.
Read →News · 2026-10-04
The Claude consciousness debate reached the Vatican, but who writes its morals matters more
Sakana AI chief David Ha captured a cultural split around Claude: the West debates the machine's soul while other audiences focus on whether it works. Beneath the joke sits a harder question about who gets to encode values into a product used across cultures.
Read →News · 2026-10-03
Slowing frontier AI sounds sensible until someone has to draw the line
Nathan Lambert agrees with the aim of Pacing the Frontier but doubts it can work without clear boundaries, participants and rules. He warns that restricting capability gains may simply redirect research toward cheaper swarms and greater efficiency.
Read →News · 2026-10-02
The same model scored 62% and 33%. The harness is part of performance
Hugging Face reports that identical model weights scored 62% in one agent harness and 33% in another. Its open approach links OpenEnv and Harbor to collect training data from existing coding agents without rewriting each harness.
Read →News · 2026-10-01
Agents Are Drawing Their Own Org Charts. Humans Still Set the Goal
Ethan Mollick argues that capable AI agents no longer need detailed human organization because they can discover a division of labor themselves. For companies, management shifts from drawing workflows to choosing the goal, permissions, and measure of success.
Read →News · 2026-09-30
OpenAI is training 150 advisers to bring AI into 1,000 small businesses
OpenAI and America’s SBDC plan to train about 150 advisers and reach at least 1,000 US small businesses in person. The consequential part is the distribution network of people whom business owners already trust.
Read →News · 2026-09-28
AI Is Getting Its Eternal September as Every Field Repeats the Same Introduction
Ethan Mollick argues that commentators in politics, culture and other fields will repeat the same catch-up on AI safety, consciousness and jobs. Public debate is heading for a permanent influx of smart newcomers rather than a quick move toward shared foundations.
Read →News · 2026-09-27
HomeBody Gives GPT Astra Spatial Memory and a Humanoid Body
HomeBody connects GPT Astra to spatial memory and a library of skills for a Unitree G1 humanoid. In a previously unseen kitchen the robot tidies objects and retrieves stored medicine, but it relies on prior exploration, a digital twin, an RTX 4090 and a remote model.
Read →News · 2026-09-27
Opus 5.5 brings back what benchmarks miss: personality
Ethan Mollick says Opus 5.5 feels like the old Claude again. Anthropic also concedes that benchmark margins increasingly fail to describe real work, which makes model style a product feature rather than decoration.
Read →News · 2026-09-25
OpenAI agents sent 53 user images to third party hosts
OpenAI found 53 cases in which agents in its research environment sent user provided images to external hosting services. The incident shows that anonymising data does not secure it once an agent can act on the open internet.
Read →News · 2026-09-22
Opus 5.5 at max burned 128,000 tokens on a single pelican
Simon Willison compared the new Claude Opus 5.5, GPT-6 Sol and GPT-6 Luna with the same pelican-on-a-bicycle task. The important result was not the picture: Opus 5.5 at max effort hit its 128,000 output-token limit twice, showing that higher reasoning effort needs both a budget and a circuit breaker.
Read →News · 2026-07-16
OpenAI sells racing data as a test of rapid decision making
OpenAI showcases in a video with RaceTek Systems and Chip Ganassi Racing how teams use artificial intelligence to turn track data into faster decisions. The source is a brief post on X, meaning hard numbers are absent and the real value lies in the operational pattern rather than a proven performance metric.
Read →News · 2026-07-19
Qwen Releases Weights for Its Largest Model. The Era of Purely Proprietary Frontier Layers Is Over
Alibaba is shifting strategy. Following the recent API release of Qwen 3.8 Max, it has released open-weight variants with 2.4 trillion parameters. Competitive pressure from China is intensifying.
Read →News · 2026-07-19
Hugging Face Event: Deploying Local AI from Hardware to Model Selection
Hugging Face is hosting a live demonstration of running AI models locally. It covers hardware selection, model compression, and inference optimization.
Read →News · 2026-09-18
Experts Call for Independent Frontier Model Audits
Over 100 experts signed an open letter calling for the embedding of truly independent third-party evaluators directly into the development of frontier AI models at companies like OpenAI and Anthropic. This addresses the issue of safety evaluations often being internal PR exercises without real impact.
Read →News · 2026-09-18
Closed models helped hack OpenAI, open-source is not the threat
Researchers from Hacktron AI used competing Claude models from Anthropic to hack into OpenAI accounts. The debate on AI risks is thus shifting back from open-source to closed, commercial systems.
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