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Valve's Answer to AI Slop and Clone Games on Steam: We Won't Police Developers' Tools
At Steam Indie Connect in Korea, Valve staff addressed AI slop and clone games head-on: no gatekeeping on AI tools, and the best defense against clones is community and steady updates.
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Mistral Launches Voxtral 3 Speech Models With Transcription From $0.0035 a Minute
Voxtral 3 adds three transcription models, a text-to-speech model and a LiveKit-based voice agent SDK. Prices run from $0.0035 a minute, and the announcement does not mention open weights.
Voxtral 3Read story
Ornith Releases Ornith-1.5-122B With Open Weights Under the MIT License
Ornith-1.5-122B is a 122B MoE reasoning model with MIT-licensed open weights, a 262,144-token context window and an Ollama build. Its benchmark scores are Ornith's own.
Ornith-1.5-122BRead story
Here's How Gemini 4 Argon Usage Is Counted in the Gemini App, Antigravity and the API in October 2026
Google doesn't publish a set number of Gemini 4 Argon prompts for any plan. In the Gemini App, usage is compute-based and refreshes every five hours until a weekly limit. In Antigravity, Google AI Pro gets a separate weekly-only Argon quota and Ultra gets the highest limits, with no published figures. On the Gemini API, Argon is paid-only, and limits depend on the project's usage tier. This guide, based on Google pages as of 00:40 Beijing time on October 21, explains each one and what to do when you reach a limit.
Gemini 4 Argon, Gemini App, Google Antigravity, Gemini API, Google AI Studio, Google AI plansRead story
OpenAI Adds Team Tasks to ChatGPT So Teams Can Automate Recurring Work
OpenAI has added Team Tasks to ChatGPT, letting teams run recurring shared work on a schedule or when an event occurs, such as a new Slack message. Tasks run in the cloud with the team's service account, use workspace credits, and are controlled by enterprise admins through permissions, according to OpenAI's documentation.
ChatGPT Team TasksRead story
Gemini 4 Argon Costs Half as Much as Claude Opus 5.5 Until November 30, and Then the Prices Match
Google's Gemini 4 Argon and Anthropic's Claude Opus 5.5 are each company's recommended model for hard coding and knowledge work, and both have a context window of about one million tokens. Until November 30, 2026, Argon's introductory API price of $2 per million input tokens and $10 per million output tokens is half of Opus 5.5's $4 and $20. From December 1, Google's pricing page lists Argon at $4 and $20, the same as Opus 5.5. Compares price, context, access, and published benchmarks. Figures as of 22:52 Beijing time on October 20, 2026, per official pricing pages and docs.
Gemini 4 Argon, Claude Opus 5.5Read story
Gemini CLI Counts Requests per Day, and Here's How Many Each Sign-In Method Gets
Gemini CLI limits how many model requests you can make each day, and the number depends on how you sign in. Google's Gemini CLI quotas page as of 22:42 Beijing time on October 20, lists 1,000 requests a day for a free Google account, 250 for a free Gemini API key, 1,500 for Google AI Pro and Gemini Code Assist Standard, and 2,000 for Google AI Ultra, Gemini Code Assist Enterprise and Workspace AI Ultra. This guide covers how those limits are counted, what Gemini CLI does when you reach one, and the ways Google documents to get more.
Gemini CLIRead story
Here's What Every Claude Model Costs on Anthropic's API in October 2026
Anthropic's pricing page lists four current Claude models on its API: Claude Fable 5.1 at $10 per million input tokens and $50 per million output tokens, Claude Opus 5.5 at $4 and $20, Claude Sonnet 5.5 at $2 and $10, and Claude Haiku 5.5 from $0.10 and $0.50. This guide covers those prices, the older models still on the price list, and the modifiers that change a bill, including prompt caching, the Batch API, long prompts on Haiku 5.5, US-only inference, fast mode and tool charges. All figures are as of 22:38 Beijing time on October 20, 2026, per Anthropic's pricing page and API docs.
Claude APIRead story
Gemini CLI Says "429 Resource Exhausted"? Here's What Google's Docs Say and What to Try
Gemini CLI users who run into a 429 see an error that Google's Gemini CLI FAQ quotes as "API error: 429 - Resource exhausted." Google's documentation says it means a request limit has been exceeded, and it lists what to do next: wait and retry, check your usage, let the CLI fall back to another model, switch to an API key or Vertex AI, upgrade to a higher quota or request an increase. This article covers what the error looks like, what each Google document says it means and the steps those documents give.
Gemini CLIRead story
Claude Code Says "529 Overloaded"? Here's What Anthropic's Docs Say and What to Try
When Claude Code can't get past a 529 overloaded_error, it stops with "API Error: Repeated 529 Overloaded errors." Anthropic's documentation says the API is temporarily at capacity, that a 529 is not your usage limit, and that checking the status page, waiting a few minutes or switching models with /model are the things to try. This article covers what the message looks like, how Claude Code retries before showing it and what the docs suggest next.
Claude CodeRead story
Codex Says "Selected Model Is at Capacity"? Here's What Users Report and What to Try
Since October 18, more than a dozen issues in OpenAI's Codex repository on GitHub have reported the error "Selected model is at capacity. Please try a different model." This article covers what those reports describe and what has worked for the users who filed the reports. OpenAI has not explained the error, and the OpenAI status page shows no incident.
CodexRead story
Researchers Say Shared Meta Muse Conversations Can Be Found Without the Link
Security firm Claroc says conversations that Muse users share through links can be found by people who were never sent those links. Claroc says it turned up more than 6,800 shared conversations and that some of the pages it opened held personal and business information. According to Ars Technica and Claroc, Meta has not responded.
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DeepSeek V4.1 Flash 1017 Edges Out GPT-6 Sol in Vals AI's Offensive Cyber Test
Vals AI says DeepSeek V4.1 Flash 1017 beat OpenAI's GPT-6 Sol on a multi-step offensive cybersecurity task the evaluation company runs in a simulated corporate network. The results come from Vals AI's own runs, not from either vendor, and Vals AI plans to publish the full evaluation in the coming weeks.
DeepSeek V4.1 Flash 1017Read story
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