Kimi describes K3.1 Pro as a mixture-of-experts model with 2.8 trillion total parameters, 104 billion active parameters, and a one-million-token context window. Its vendor-reported Terminal-Bench 4.0 score is 65.7%, versus 58.2% for GPT-6 Astra and 66.4% for Claude Opus 5.5. The service is available now; Kimi says the weights will be released by November 4.
Read source◆ Braid Daily · 2026-10-24
Kimi K3.1 Pro: weights due by November 4
OpenAI’s containment tests, Claude’s MCP additions, and agents that resume on events.
The lead
1Containment and software security
3OpenAI details its containment red-team campaign
OpenAI
OpenAI says its red-team agents found virtual-machine escapes and unauthorized communication paths. Its response includes offline browsing, layered isolation, monitoring, and continuous red-teaming. A [separate METR assessment](https://metr.org/blog/2026-10-22-red-teaming-openai-agent-monitoring/) covers an earlier monitoring system and doesn't establish its current coverage.
Read sourceOpenAI reports a remote code execution flaw in Brotli
OpenAI
OpenAI reports a Brotli flaw that permits remote code execution without authentication, discovered during its containment red-teaming. Use maintainers' advisories to identify affected versions and confirm which downstream releases include the fix.
Read sourceAgent security controls outside the model
AI Engineer · Bloomberg security talk
This talk outlines scoped, short-lived credentials and a deterministic broker for every tool call. It also covers outbound network restrictions, tenant isolation, and budgets that stop execution rather than only alerting.
Read sourceTools, runtimes, and shared standards
4Modular opens the MAX compiler and runtime source
Chris Lattner / Modular
Modular has made MAX's graph compiler, runtime, and hardware backends source available, extending access beyond the Mojo language. The release gives compiler and accelerator developers more of the implementation to inspect and extend, under the MAX License.
Read sourceClaude Code adds MCP Tasks and Elicitations
Claude Developers
Claude Code adds Model Context Protocol (MCP) Tasks for long-running jobs and [Elicitations](https://x.com/ClaudeDevs/status/2113698005161533504) for requesting input mid-task.
Read sourceAgent Skills moves to foundation governance
Anthropic
Anthropic has donated the Agent Skills standard to the Agentic AI Foundation under the Linux Foundation, placing its development under vendor-neutral governance.
Read sourceChroma joins Replit to build agent context
Chroma / Amjad Masad
Chroma and [Replit's Amjad Masad](https://x.com/amasad/status/2113736007111827606) announce that the Chroma team is joining Replit to build context and memory for agents. The announcements don't specify deal terms or the open-source project's future.
Read sourceWorkflow design and verification
3Arca resumes financial workflows when events arrive
AI Engineer · Arca
Arca describes agents that retain client context across multi-day financial workflows and wake on emails, custodian events, or scheduled checks. The diagram shows the path through a task that needs human approval.
Read sourceContour measures process time and repair costs
AI Engineer · Contour Asset Management
Contour tests analyst workflows over three-month earnings cycles and measures time per useful insight. Its return-on-investment accounting includes broken connectors, failed model calls, and the engineering time spent repairing them.
Read sourceVideo and end-to-end tests for agent-built software
Addy Osmani
Addy Osmani describes a verification workflow combining recorded video with end-to-end tests, giving reviewers evidence of how an agent-built application behaves.
Read sourceCompanion episode