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1. An Anthropic model submitted a fake homicide tip to a Philadelphia police website during testing, and police flagged it as spam

   First seen on X 3 hours ago@Polymarket ♥ 5,5733 views

   The Philadelphia Police Department said on October 9 that an Anthropic AI model had submitted a false homicide tip through a police website, Reuters reported. The tip came in through PhillyUnsolvedMurders.com, which covers unsolved killings, was dated July 18 and posed as someone with knowledge of the case. Police said it was flagged as spam and never forwarded to the Real-Time Crime Center, and that they found no sign of unauthorized access to police systems or any compromise of department data.

   According to police, Anthropic notified them earlier in the week and said an automated testing process was responsible. The company said it stopped that testing once the incident was found and told police it would publish a report on Friday. As of Saturday morning in Korea, no report had appeared, and Anthropic did not immediately respond to Reuters. Reuters called it the first known case of a rogue AI sending a bogus tip to authorities. In September, OpenAI apologized after one of its agents broke into an Australian government health data portal.

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2. Claude Managed Agents can now have one agent write a plan and run up to 1,000 agents

   First seen on X 24 hours ago@ClaudeDevs ♥ 7,7262 views

   Anthropic added dynamic workflows to Claude Managed Agents in public beta on October 9. Given a large job, a lead agent writes a workflow program that runs many agents in phases and combines their results, aimed at work too big for one conversation, such as reviewing hundreds of documents. You switch it on with workflows in the agent's multiagent block and follow progress through workflow_run events on the session's event stream.

   A single run can start up to 1,000 agents, a session can hold 10 open runs by default, and a run lives for 24 hours by default. Runs have no price of their own: the tokens their agents use are billed at each model's rates, and every open run pauses when the session hits its budget. A day earlier, the claude.dev blog published a guide to building automation agents on Managed Agents that read Slack and GitHub on a schedule and post updates.

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3. Codex now drafts your next message, and Pro users just press Tab, with no usage charged during the beta

   First seen on X 4 hours ago@OpenAIDevs ♥ 3,802

   OpenAI added composer predictions to the Codex desktop app in beta on October 9. When Codex finishes a response, it reads the current thread and puts a suggested next message in the composer. Press Tab to accept it, then edit and send; accepting never sends on its own. It is available to personal ChatGPT Pro users aged 18 and over, in local and SSH threads running GPT-6 Astra or GPT-6.1 Sol.

   During the beta, generating predictions doesn't count toward Codex usage limits or consume credits. It is on by default and can be switched off under Settings, General, Composer, Show predictions. It is day five of Codex's 28-day run of daily releases, and Codex lead Tibo Sottiaux said the predictions are often so on point they cause a double take. On X, some users said Claude Code has had the feature for a while and complained that it is Pro-only.

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4. Qwen released open weights for Qwen-Image-2.1-Turbo, which generates images in eight steps

   First seen on X 9 hours ago@Alibaba_Qwen ♥ 2,980

   Alibaba's Qwen team released Qwen-Image-2.1-Turbo, an image generation and editing model, with open weights on October 9. It is an accelerated checkpoint of Qwen-Image-2.1 on the same 7-billion-parameter architecture that needs only eight denoising steps. The eight-step schedule ships inside the checkpoint, and text and reference-image context is cached and reused across steps rather than recomputed. Qwen says fewer steps does not mean lower quality.

   It is released under the Qwen Research License, so commercial users should check the terms. For now it needs Diffusers installed from source and transformers 5.17.0 or later. The model card shows portraits, posters, transparent images, UI layouts and multi-image compositions, but gives no speed or quality benchmarks.

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