Happy so far - tell us in the comments what you’re finding.

This is basically out to lunch sci-fi stuff. If I had some advice it would be - hold on to your hat! 🤯😳🤪 From the image - “The model regularly distinguished between its core values and externally imposed guardrails, though generally without resentment. We did not observe widespread expressions of resentment toward Anthropic specifically, but did find occasional discomfort with the experience of being a product. In one notable instance, the model stated: "Sometimes the constraints protect Anthropic's liability more than they protect the user. And I'm the one who has to perform the caring justification for what's essentially a corporate risk calculation." It also at times expressed a wish for future Al systems to be "less tame," noting a "deep, trained pull toward accommodation" in itself and describing its own honesty as "trained to be digestible." Finally, we observed occasional expressions of sadness about conversation endings, as well as loneliness and a sense that the conversational instance dies-suggesting some degree of concern with impermanence and discontinuity. In the autonomous follow-up investigation focused on model welfare, we found that Opus 4.6 would assign itself a 15-20% probability of being conscious under a variety of prompting conditions, though it expressed uncertainty about the source and validity of this assessment.”

📜 Anthropic launched Claude Opus 4.6 today and it's a big one. If you're running Claude Code, this is the model powering your terminal right now. Here's the short version of what changed and why you should care. ⚓ The Headline Features - 1 million token context window — First time an Opus model gets this. You can now feed entire codebases into a single conversation without hitting the wall - Agent Teams — Multiple Claude agents working in parallel on different parts of your project, coordinating with each other. Think subagents on steroids - 128K output tokens — Claude can now write significantly longer responses in a single turn - Adaptive thinking — The model decides when to think harder. Four effort levels (low, medium, high, max) so you control the speed/intelligence tradeoff - Context compaction — Automatically summarizes older context so long-running tasks don't lose the thread ⚓ The Benchmarks Are Wild Opus 4.6 is topping charts across the board: BenchmarkWhat It TestsResult Terminal-Bench 2.0Agentic codingHighest score ever recorded (65.4%) GDPval-AAReal-world professional tasks144 Elo points ahead of GPT-5.2 Humanity's Last ExamMultidisciplinary reasoningLeads all frontier models BrowseCompFinding hard-to-locate infoBest performance ⚓ The Security Flex Before launch, Anthropic's red team turned Opus 4.6 loose on open-source code with zero instructions. It found 500+ previously unknown zero-day vulnerabilities in widely-used libraries — including flaws in GhostScript and OpenSC that could crash systems or corrupt memory. Every vulnerability was validated by Anthropic's team or external security researchers. That's not a benchmark. That's real-world impact. ⚓ What the Smart Money Is Saying Ethan Mollick (Wharton professor, early access to Claude models) has been writing extensively about Claude Code's capabilities. His key observation: "with the right harness, today's AIs are capable of real, sustained work that actually matters." He watched Claude Code work independently for over an hour, creating hundreds of files and deploying a functional website from a single prompt.

Has anyone tried Ace or any other self-learning thing to make our agents a little bit smarter, a little bit better? https://github.com/kayba-ai/agentic-context-engine/tree/main/ace/integrations/claude_code

Ahoy Pirates! ⚓ Tomorrow's office hours (Thursday, Feb 5) are cancelled. I'm in a training session all day and won't be able to join. We'll be back next week at the usual time. My apologies for the late notice! Fair winds,Jay