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)
Goldman Sachs has limited access to Anthropic’s Claude Code and Microsoft’s GitHub coding tools to engineers, reversing months of wider use by bankers and traders. Internal guidance updated in October followed a trial in which the firm assessed productivity and risk. The change has frustrated some traders who used the tools to monitor client trading, model market movements and positions, and produce written or visual materials. The restriction does not cover “strats,” specialists who combine trading, quantitative research and software engineering. In July, Chief Information Officer Marco Argenti had praised nontechnical employees’ experimentation with AI, describing how they developed prototypes that engineers could refine.
The decision reflects Wall Street’s broader effort to balance AI’s potential with cybersecurity, cost and productivity concerns. Goldman says it makes tools available for testing before deciding who is best placed to use them over the long term; it has also built an assistant that draws on models from OpenAI, Anthropic and Google. JPMorgan, meanwhile, has encouraged employees to match models to tasks to avoid paying for unnecessarily powerful systems. Goldman’s limits come as it helps finance the AI boom, including serving as lead underwriter for Anthropic’s expected public offering and arranging large debt deals with Nvidia. The bank has imposed AI restrictions before, including a location-specific limit on Claude use in Hong Kong.
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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LLMs often give outdated or incorrect product prices, even when they use web search.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)
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