Kimi K2.8 Preview is presented as a coding-focused model with performance described as close to K3, but with more efficient reasoning. Its model ID is kimi-for-coding. It runs at regular speed, supports a context window of up to 1,048,576 tokens and accepts image and video input. Reasoning effort can be set to low, high, or max, with max as the default. The model is available to Plus-and-above members on new plans and Andante-and-above members on legacy plans. The guide places it alongside K3.1 Pro, K3, a shorter-context K3 variant, and K2.7 Code Highspeed, whose faster output comes with higher quota use.
Model selection is available through the model picker in Kimi Code Desktop, the CLI’s /model command, or the VS Code extension; third-party tools can connect through OpenAI-compatible or Anthropic-compatible APIs. The guide recommends using the exact model ID and keeping the same model and reasoning effort throughout a session: changing either invalidates the context cache, adds token use, and may disrupt reasoning continuity. If thinking is disabled for K2.8, requests are routed to K2.8 without thinking; an incorrect model ID may also silently fall back to that mode. API errors can result from plan permissions, unsupported context limits, or thinking settings. Highspeed improves model output only, not tool execution, so tool-heavy tasks may see little overall speedup.
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Anthropic has restricted Claude from helping with video game modding, decompiling, and reverse-engineering, amid growing use of AI to alter games. The limits are broad enough to disrupt legitimate development and basic troubleshooting, and Anthropic has not publicly explained the restrictions. (mashable.com)
OpenAI’s GPT-6.1 Terra is a midrange model focused on visual reasoning, computer use, and technical communication, with faster computer-use performance than Astra and Sol. It costs $1 per million input tokens and $5 per million output tokens, positioning it between the cheaper Luna and pricier Sol. (simonwillison.net)
Pope Leo XIV argued that AI’s future depends on human choices and that systems should serve people, not be treated as persons. He called for human oversight of high-stakes decisions, steps to ban lethal autonomous weapons, and fair access to AI’s benefits. (garymarcus.substack.com)
Researcher Jiahao Shao says Anthropic blocked or downgraded his access after flagging his work as training a competitor. He says Claude only helped run jobs and analyze results, not generate training data. (twitter.com)
GPT-5.6 Sol completed a peaceful Factorio run in 13.5 hours of game time using a Python tool to control the game. It launched a rocket despite late-game factory problems, improving on an earlier GPT-5.5 attempt that failed to use conveyor belts. (ryanmadden.net)
A language model was post-trained on short Dwitter demos to generate plausible continuations of unfinished code and explore alternative visual effects. The project treats demo remixes as a kind of programming grammar, where tiny code changes can produce strikingly different results. (datavorous.com)
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