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06:18
2026-07-19
dev.to
artificial-intelligence

A Complete Guide to Moonshot's New 2.8T Flagship

Moonshot AI released Kimi K3 on July 16, 2026, a 2.8-trillion-parameter sparse Mixture-of-Experts model that debuted at number one on Arena.ai's Frontend Code Arena. The open-weight model features a 1,048,576-token conte…

04:47
2026-07-18
techcrunch.com
artificial-intelligence

Neil Rimer thinks the AI money is coming back out

Index Ventures co-founder Neil Rimer said at a tech festival in Athens that he expects a redistribution of AI wealth, either voluntary or involuntary, and hopes tech leaders will take a leading role. Rimer's comments com…

20:46
2026-07-15
github.com
developer-tools

Polygraph – Now your tests can't lie

Polygraph, a new Claude Code plugin and standalone CLI, uses LLMs to automatically generate formal models of stateful JavaScript code and exhaustively check every reachable state for rule violations, finding bugs that un…

00:00
2026-07-13
blog.eleuther.ai
ai-safety

A Dynamical Model of AI Governability

A new quantitative dynamical model of AI governability predicts that the outcome of advanced AI development depends on competing factors such as AI's ability to evade oversight versus its usefulness in building monitorin…

20:24
2026-07-12
businessinsider.com
ai-safety

The leaders responsible for keeping OpenAI's AI safe keep leaving

Johannes Heidecke, head of OpenAI's Safety Systems team, is leaving as the company reorganizes safety and research under a single leader, Mia Glaese. The departure adds to a growing list of safety leaders who have exited…

20:15
2026-07-10
sebastianmarines.com
artificial-intelligence

I think I was part of a model distillation attack

A user's compromised OpenAI API key was used in what appears to be a model distillation attack, with 114 interactions with GPT-5.5 and tasks including coding agents, benchmark creation, and insulin molecule chain export,…

00:43
2026-07-10
lesswrong.com
artificial-intelligence

How robust are natural language autoencoders to initialization?

Researchers at MATS found that natural language autoencoders (NLAs) for LLMs can achieve high reconstruction accuracy even when initialized with entirely implausible statements, emitting 99.3% implausible outputs. The pl…

15:00
2026-07-09
fastcompany.com
artificial-intelligence

Why are U.S. AI companies so sure bigger is always better?

A leaked Treasury Department draft report warns that the AI economy risks a dotcom-style bubble, as U.S. AI labs spend hundreds of billions on large language models while investors grow skeptical. Meanwhile, enterprises …

21:50
2026-07-07
thezvi.wordpress.com
large-language-models

No Space Like J-Space

Researchers have discovered a region within large language models called 'J-space' where conscious-like reasoning occurs, using a new interpretability technique called the Jacobian Lens. The J-space enables verbalizable …

14:00
2026-07-07
arize.com
large-language-models

Evals in CI: How to write your LLM evals as tests with Arize Phoenix

Arize Phoenix released evaluation support for Pytest and Vitest/Jest, allowing developers to write LLM evaluations as ordinary tests. The integration records LLM traces and metrics like cost and latency, helping teams de…

00:00
2026-07-05
jasonrobert.dev
artificial-intelligence

News Summary for July 5, 2026

AI agent infrastructure is maturing but facing reliability challenges, as FlashAttention-4 achieves 71% utilization on NVIDIA's Blackwell B200 GPUs while agentic AI systems grapple with architecture questions and securit…

00:00
2026-07-02
seangoedecke.com
ai-policy

Text AI watermarks will always be trivial to remove

The European Union AI Act will require LLM watermarking by August 2026, but experts argue text watermarks are inherently easy to remove due to the compressed nature of text. Google's SynthID and other methods face challe…

18:32
2026-06-30
newsletter.semianalysis.com
large-language-models

TokenBudgeting: Our Conversations with Enterprises on Token Spend

SemiAnalysis surveyed over 50 enterprises and found that widespread token overspending, as reported at Meta and Uber, is overstated and not representative of most organizations. Companies are now adopting token budgets r…

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