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)
WiCi presents itself as a systems research lab focused on making frontier AI practical on hardware people own. Its central argument is that local AI offers control over models, data, and usage, but remains constrained by network latency, limited memory, competing applications, and the need for fast responses. WiCi’s work aims to address those barriers while keeping applications and data on a user’s own network. Its research spans wireless GPU access, storage-backed inference, shared GPU scheduling, and real-time voice interaction.
The company’s wireless runtime uses caching, data reuse, and asynchronous execution to reduce the overhead of sending GPU work over Wi-Fi, making a nearby GPU usable by connected devices. Its open-source InferSSD system streams model weights from SSD to GPU, targeting models too large for available GPU memory and system RAM; WiCi highlights work on running 800-billion-parameter models on consumer hardware. Its scheduling research seeks to reuse loaded model weights across applications without mixing their state, while its voice research generates answers as a person speaks and uses timing policies to reduce delay. WiCi One combines wireless GPU computing with SSD inference in a home or workplace device, priced from US$2,599. WiCi also offers developer APIs, an SDK, and driver integrations for building local-AI applications.
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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LLMs often give outdated or incorrect product prices, even when they use web search.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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