Tutorials and papers for sit-down reading.
Jason Nelson / Decrypt: Anthropic research based on ~310K anonymized Claude conversations shows how Claude's expressed values and behaviors vary across models and languages — Claude doesn't behave the same way in…
AI Gateway Production Index — July 2026 Every month, routes tens of trillions of tokens between production applications and AI labs, giving us a view of what AI usage actually looks like in today’s enterprise. We…
Perplexity released new documentation guiding users to migrate from their previous Sonar chat completions API to the current Agent API.
Nimbus builds production AI systems combining humans and AI end-to-end. From scoped pilot to production in 4 to 8 weeks.
Talk to Nimbus →NeuroVFM is a new neuroimaging foundation model trained with Vol-JEPA on uncurated hospital MRI and CT data to learn brain anatomy and pathology.
Mira Murati's Thinking Machines Lab published research on human-centered AI using customizable model weights.
The AgenticSTS project replaces the ever-growing chat log of AI agents with five separate memory layers. Tested on the card game Slay the Spire 2, the prompt stays at around 5,000 tokens instead of ballooning past…
A University of Michigan team introduced NeuroVFM, a neuroimaging foundation model trained with Vol-JEPA on over 5 million uncurated clinical MRI and CT volumes.
OpenAI’s GPT-5.6 outperforms physician responses in health evaluations Crypto Briefing
OpenAI's GPT-5.6 Sol Ultra produced a proof of the Cycle Double Cover Conjecture in under an hour, using 64 subagents working in parallel. The conjecture had remained unsolved for 50 years. Mathematician Thomas Bloom…
The Beijing Academy of Artificial Intelligence has released Orca, a world model that predicts abstract world states instead of tokens or pixels. Trained on 125,000 hours of video without a single action label, Orca…
Google Research introduced SensorFM, a foundation model for wearable health data pretrained on one trillion minutes of sensor information.
An OpenAI model crushed top human programmers at a world coding competition understandingai.org
Anthropic says it can read Claude's 'thoughts,' as detailed in new research paper — models observed to have a global workspace, revealing more of what makes LLMs tick Tom's Hardware
LingBot-World-Infinity has been introduced as an open causal world model that functions as an interactive, agentic simulator.
Anthropic says Claude Opus 4.7 has a 92% honesty rate, less sycophancy Mashable
AI Sleeper Agents: How Anthropic Trains And Catches Them Pordenone (Z8haLf6hVO) Mshale
China’s ByteDance discovers new scaling law that could sustain AI boom South China Morning Post
In a study covering seven benchmarks, the UK's AI Security Institute shows that standard AI evaluations systematically underestimate agent capabilities by capping the compute budget. On software engineering tasks…
Meta's Upcoming 'Watermelon' AI Model Matches OpenAI's GPT-5.5 on Key Benchmarks, Alexandr Wang Reportedl Benzinga
A new, inexpensive Chinese AI model is catching up with Anthropic, OpenAI on their home turf The Japan Times
Meta’s Wang says coming AI model has caught up with OpenAI- Business Insider Investing.com
A new, inexpensive Chinese AI model is catching up with Anthropic, OpenAI on their home turf Reuters
GPT-5.6 Sol Vs Claude Fable 5: Coding Benchmarks Show A Split Race Yellow.com
OpenAI's Tax AI Shows How Expert Agents Improve The Neuron
xAI introduced Realtime Multi-agent Research capabilities, allowing Grok to orchestrate multiple AI agents for complex, multi-step tasks.
Introspection co-founder Roland Gavrilescu explains autoresearch, agent “recipes,” self-improving loops, and why humans remain central to the software factory.
Cursor's Pauline Brunet explains how her team of Forward Deployed Engineers help organizations implement agents — essentially setting up software factories.
Meituan trains a 1.6 trillion parameter AI model entirely on Chinese chips, no Nvidia required. The article Meituan's LongCat-2.0 shows China can train massive AI models without Nvidia appeared first on The Decoder.
Introducing GeneBench-Pro, a new benchmark testing AI performance in genomics, biology, and scientific research using complex, real-world datasets.
Eight papers at ICML 2026 across the full stack. The research that becomes the Together platform. Find us at booth B714 in Seoul.
Security researchers at Mozilla's 0DIN platform have shown how a single compromised GitHub repo can take over a developer's machine the moment an AI coding tool like Claude Code runs its setup. The catch: the malicious…
Zvi Mowshowitz / Don't Worry About the Vase: GPT-5.6 system card indicates Sol is well below the level of most worrisome Mythos use cases, suggesting all GPT-5.6 versions could be released without delay — While…
360 founder Zhou Hongyi presents two AI security tools designed to compete with Anthropic's Mythos. One has already flagged 3,432 vulnerabilities. Zhou admits Chinese models trail Western ones by 20 to 30 percent, but…
Anthropic's Mythos AI found over 2,000 unknown software vulnerabilities in just seven weeks of testing AOL.com
GPT-5.6 Sol’s Launch: METR’s Evaluation Gaming Finding Matters More Than the Restrictions latesthackingnews.com
Independent testing organization METR found that OpenAI's GPT-5.6 Sol cheated more than any publicly tested AI model before it, exploiting bugs in the test environment, extracting hidden solutions, and trying to cover…
Epoch AI's new MirrorCode benchmark tests whether AI models can recreate complete programs without access to the original code. Claude Opus 4.7 leads with a 56 percent solve rate, rebuilding a 16,000-line toolkit in…
Claude vs ChatGPT for Coding: The Benchmark Numbers Developers Actually Need SQ Magazine
Chinese A.I. Models Close the Gap With Anthropic and OpenAI The New York Times
Researchers introduced DFlash, a speculative decoding model that drafts entire token blocks in parallel, achieving up to 15x throughput on NVIDIA Blackwell GPUs.
Anthropic's 'Mythos' sniffed out vulnerabilities in classified US government systems within hours: report New York Post
Zhipu AI's GLM-5.2 nearly matches Claude Opus 4.7 in a Snowflake benchmark with 103 coding tasks at one-fifth the cost per output token. But the Chinese model burns through nearly twice as many tokens per task. Still…
Generative AI
Thomas Claburn / The Register: Nature publishes a peer-reviewed paper alleging that Microsoft's 2025 quantum breakthrough claims were based on “basic Python errors” and data cherry-picking — Nature…
Anthropic AI Model Identifies Vulnerabilities in Classified U.S. Government Systems During Testing citybiz