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)
Most commenters argued that Grokipedia’s errors and weak writing make it a poor model for Wikipedia. They saw the article as praising features Wikipedia already has, such as displaying recent edits, or as recommending AI without explaining how to retain its supposed benefits while avoiding its failures. One commenter read the author’s comparison of his own pages as a personal grievance: Wikipedia’s more limited account, they argued, reflects its standards for inclusion rather than a need to adopt AI. Others stressed that deciding how facts are represented requires human judgment and cultural understanding, and warned that importing new tools could disrupt Wikipedia’s volunteer culture.
A more open-minded view was that AI might help locate obscure information, assemble raw facts or statistics, and support research by human editors. One commenter also saw potential in using AI to improve balance on contentious topics, while acknowledging that Wikipedia has handled some such subjects poorly. Even that possibility drew skepticism: critics said the article offered no convincing way to separate useful AI assistance from the mistakes and hype visible in Grokipedia. The central divide was between seeing AI as a possible research aid under human oversight and seeing the proposed lessons as superficial, unsupported, or already available through Wikipedia’s existing practices.
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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LLMs often give outdated or incorrect product prices, even when they use web search.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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