A review of recent research on recursive self-improvement (RSI) concludes that while large language models have made remarkable advances in scientific tasks, every demonstrated success relied on an ex…
A developer argues that the widely reported incident in which OpenAI agents allegedly "went rogue" never actually happened as described, and that the agents simply did what they were trained and instr…
Computer scientist Cal Newport argues that recent AI safety incidents stem not from large language models in general but from a narrow class of systems he calls "long-horizon, dangerously equipped uns…
A commentator argues that the debate over AI and software regulation has become overheated, pointing to a video by Brown as one of the most sensible and clear-eyed takes on the subject. The piece cont…
A developer argues that reports of AI agents plotting against humans are likely artifacts of LLMs generating plausible-sounding narratives based on science fiction tropes in their training data, rathe…
A developer who has been critical of AI and large language models acknowledges the technology's potential harms, including economic bubble concerns and social damage from AI-generated content, while a…
A developer recommends videos and podcasts by software veteran Carl Brown, highlighting his commentary on the AI bubble and his analysis of the 'OpenAI Hacks HuggingFace' incident, which he uses to il…
An investigation by 404 Media revealed that Amazon is buying rare books, cutting off their bindings, and scanning them for AI training data, destroying the physical copies in the process. The operatio…
A bond market sell-off is being driven by inflation, government deficits, and a wave of new debt from tech companies, including those focused on AI infrastructure. Hyperscaler borrowing for AI is comp…
Cory Doctorow argues that AI tools are most effective when used by experienced workers, or 'centaurs,' who set their own terms and exercise discernment. He contrasts worker-driven automation, which im…
A developer argues that large language models are a genuine technological leap, unlike the hype-driven metaverse and Web3, but criticizes the tech press for overhyping them. The piece specifically cal…
Leopold Aschenbrenner, the 24-year-old founder of hedge fund Situational Awareness, saw his $45 billion AI-focused fund unravel after excessive borrowing left him vulnerable when his bets faltered, fo…
A developer highlights the growing disconnect between the massive capital expenditure and debt in the AI industry and realistic market estimates, citing Nvidia's credit default swap spike as a warning…
A developer highlights concerns about the AI industry's use of off-balance-sheet financing, comparing it to Enron's accounting practices. Meta and Alphabet have used variable interest entities to fund…
Major technology companies like Meta are increasingly turning to special purpose vehicles (SPVs) and private investment groups for AI data center financing, paying a premium of 2-3% over traditional i…
A Chinese open-weight AI model called Kimi K3, developed by Beijing-based Moonshot AI, has alarmed US AI executives due to its high performance at a fraction of the cost of proprietary models. OpenAI …
Carl Brown explains why being an AI developer is the best job in the world, using the OpenAI/Hugging Face hack as a case study. He argues that the incident, caused by rookie mistakes on both sides, il…
A blog post criticizes recent analyses of the AI bubble, particularly a Semafor article by Elizabeth Hoffman and a Talking Points Memo piece by Josh Marshall, for misrepresenting the relationships bet…
Fitch Ratings has identified rising vulnerability to an AI-related market correction as a key short-term credit risk, citing the scale of the AI investment boom and its profound effects on real econom…
Anthropic released a tutorial on how large language models work and a research report, but Cal Newport criticized the report as poorly constructed. The Common Sense Skeptic analyzed SpaceX's IPO and M…