Itch.io adding Generative AI disclosure filtering to few more places on the site
Itch.io is expanding its filters for games and other content disclosed as using generative AI. The filters will appear in more places across the site. (bsky.app)
The US stock market is increasingly dominated by a small group of technology and AI companies, creating a sharp divide between booming firms and much of the wider economy. Tech stocks make up about 44 per cent of the S&P 500’s value, while its ten largest companies account for roughly 39 per cent, compared with 27 per cent at the height of the dot-com bubble. Since April, around 230 S&P 500 companies have lost a combined $2.9 trillion. Gains by six major companies - Apple, Meta, Microsoft, Micron, Nvidia and AMD - have more than offset those losses: together they added over $5 trillion and generated 57 per cent of the index’s total gains. Without them, the S&P 500 would have risen 4.35 per cent, less than half its actual 10 per cent increase. Figures are in Australian dollars.
The boom carries risks beyond concentrated market valuations. Some chip makers are already highly profitable, but AI labs’ revenue remains small relative to the spending made on their behalf, and major technology companies’ AI investments are growing faster than their profits. Increasing reliance on debt adds vulnerability. Financing can also circulate among companies that are simultaneously investors, suppliers and customers: Nvidia, for example, announced up to $144 billion in investment in OpenAI infrastructure; OpenAI agreed to spend $430 billion on Oracle data centres; and Oracle planned $58 billion in Nvidia chips. This makes it harder to distinguish real customer demand from purchases enabled by suppliers’ own funding, and links the companies’ fortunes. Trouble at a major player such as OpenAI could therefore ripple through a market where AI firms already have outsized influence.
Summary generated by AI from the linked article. hn.today is not affiliated with Hacker News or Y Combinator.
Itch.io is expanding its filters for games and other content disclosed as using generative AI. The filters will appear in more places across the site. (bsky.app)
Sam Altman argues that people should use less RAM so memory can be redirected to AI data centers. Critics say OpenAI’s efforts to secure a large share of global RAM supplies could also drive up prices and question whether efficiency justifies restricting personal use. (techdirt.com)
LLMs often give outdated or incorrect product prices, even when they use web search. The tutorial shows how to build a Python agent that grounds answers in live data and lets code insert verified prices. (blog.apify.com)
Revolut moved about 2,000 engineers to self-hosted GLM coding models, running them on 56 Nvidia B200 GPUs at roughly $0.30 per million tokens. AI operations lead David Abitbol says engineering lead time improved 70% as lower costs let teams use AI more broadly, while Claude Code and Codex became exceptions. (twitter.com)
A 1995 Pentium Pro running a modern Stockfish port is estimated to play at 3300 Elo, far above Kasparov’s peak rating. The experiment shows how advances in chess algorithms could have beaten Kasparov without Deep Blue’s custom supercomputer hardware. (nicholas.carlini.com)
Gartner says open-weight models can handle about 90% of routine enterprise agent tasks at a fraction of the cost of closed models, while frontier models remain useful for complex reasoning. It expects companies to rely more on specialized open models, making the software harnesses that route tasks between models a key source of value. (theregister.com)
Today's best Hacker News stories, summarized and screenshotted, one email a day.