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)
LongCat 2.5 is presented as a multimodal model for agentic tasks, and commenters focused on how its benchmarks compare with frontier systems. One commenter objected that comparisons to older GPT and Claude models, published without a price comparison, could make the results look more favorable than they are. Others argued that named benchmarks offer a useful measure of capability, and that the preview date made those particular comparisons relevant. Another commenter said LongCat’s pricing matches DeepSeek’s and its benchmark results look comparable, with cache-hit rate and speed left as practical differentiators. A commenter also saw the comparisons as showing how open or locally accessible models can approach the level of frontier models from a few months earlier.
Other reactions centered on whether the release was ready to use. One commenter found the GitHub and Hugging Face links unclear about access to weights, described a chat link redirecting to a broken login page, and reported unhelpful Chinese-language responses. They took these problems, along with weak basic answers, as signs of a rushed, benchmark-focused release. The exchange also touched on rising expectations: capabilities once considered remarkable for open-weight models have quickly become a baseline for some users. One commenter cautioned that LongCat’s 1.6-trillion-parameter size makes running it at home unrealistic, while another valued the prospect of using a model without relying on Anthropic or OpenAI.
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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LLMs often give outdated or incorrect product prices, even when they use web search.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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