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)
OpenAI and Anthropic are setting up dedicated election “war rooms” for the U.S. midterms, a first for both AI companies. Their teams will monitor their services for misuse and inaccurate election information, and coordinate rapid responses to incidents. The move adapts a practice used by social media companies since Meta created a war room in 2018 amid concerns about election misinformation. AI tools have expanded the risks: deepfake videos can mislead voters, while AI-powered search can present false claims as answers. A recent example involved Google’s AI Mode failing to answer a question about the winner of the 2020 election, a problem the company said it was working to fix.
The new safeguards face challenges that are difficult to anticipate. AI systems can behave unpredictably, and cybersecurity problems may create additional openings for manipulation; search tools can also reinforce what users already believe. Former Meta public policy director Katie Harbath described war rooms as a way to handle unforeseen failures through established processes for quickly assessing and escalating them. Anthropic says it works throughout the year to strengthen election protections and enforce its policies, with a dedicated team prepared to respond during the election period. The effort reflects how election-integrity planning must now account not only for misleading posts on platforms, but also for errors and manipulation produced or amplified by AI systems.
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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LLMs often give outdated or incorrect product prices, even when they use web search.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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