Behavioral Credentials: Why Static Authorization Fails Autonomous Agents
Behavioral Credentials: Why Static Authorization Fails Autonomous Agents
Enterprise AI governance still authorizes agents as if they were stable software artifacts.They are not. An enterprise deploys a LangChain-based research agent to analyze market trends and draft internal briefs. During preproduction review, the system behaves within acceptable bounds: It routes queries to approved data sources, expresses uncertainty appropriately in ambiguous cases, and maintains source […]
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Claude Opus 4.7 Isn't a Drop-in Replacement for 4.6
The new xhigh effort level and adaptive thinking
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Opus 4.7 Part 3: Model Welfare
It is thanks to Anthropic that we get to have this discussion in the first place.
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Qwen3.6-27B: Flagship-Level Coding in a 27B Dense Model
Qwen3.6-27B: Flagship-Level Coding in a 27B Dense Model
Qwen3.6-27B: Flagship-Level Coding in a 27B Dense Model Big claims from Qwen about their latest open weight model: Qwen3.6-27B delivers flagship-level agentic coding performance, surpassing the previous-generation open-source flagship Qwen3.5-397B-A17B (397B total / 17B active MoE) across all major coding benchmarks. On Hugging Face Qwen3.5-397B-A17B is 807GB, this new Qwen3.6-27B is 55.6GB. I tried it out with the 16.8GB Unsloth Qwen3.6-27B-GGUF:Q4_K_M quantized version and llama-server using…
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Don’t Blame the Model
The following article originally appeared on the Asimov’s Addendum Substack and is being republished here with the author’s permission. Are LLMs reliable? LLMs have built up a reputation for being unreliable. Small changes in the input can lead to massive changes in the output. The same prompt run twice can give different or contradictory answers. […]
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Quoting Bobby Holley
Quoting Bobby Holley
As part of our continued collaboration with Anthropic, we had the opportunity to apply an early version of Claude Mythos Preview to Firefox. This week’s release of Firefox 150 includes fixes for 271 vulnerabilities identified during this initial evaluation. [...] Our experience is a hopeful one for teams who shake off the vertigo and get to work. You may need to reprioritize everything else to bring relentless and single-minded focus to the task, but there is light at the end of the tunnel. We…
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Changes to GitHub Copilot Individual plans
Changes to GitHub Copilot Individual plans
Changes to GitHub Copilot Individual plans On the same day as Claude Code's temporary will-they-won't-they $100/month kerfuffle (for the moment, they won't), here's the latest on GitHub Copilot pricing. Unlike Anthropic, GitHub put up an official announcement about their changes, which include tightening usage limits, pausing signups for individual plans (!), restricting Claude Opus 4.7 to the more expensive $39/month "Pro+" plan, and dropping the previous Opus models entirely. The key…
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Is Claude Code going to cost $100/month? Probably not - it's all very confusing
Is Claude Code going to cost $100/month? Probably not - it's all very confusing
Anthropic today quietly (as in silently, no announcement anywhere at all) updated their claude.com/pricing page (but not their Choosing a Claude plan page, which shows up first for me on Google) to add this tiny but significant detail (arrow is mine, and it's already reverted): The Internet Archive copy from yesterday shows a checkbox there. Claude Code used to be a feature of the $20/month Pro plan, but according to the new pricing page it is now exclusive to the $100/month or $200/month Max…
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Opus 4.7 Part 2: Capabilities and Reactions
Claude Opus 4.7 raises a lot of key model welfare related concerns.
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Where's the raccoon with the ham radio? (ChatGPT Images 2.0)
Where's the raccoon with the ham radio? (ChatGPT Images 2.0)
OpenAI released ChatGPT Images 2.0 today, their latest image generation model. On the livestream Sam Altman said that the leap from gpt-image-1 to gpt-image-2 was equivalent to jumping from GPT-3 to GPT-5. Here's how I put it to the test. My prompt: Do a where's Waldo style image but it's where is the raccoon holding a ham radio gpt-image-1 First as a baseline here's what I got from the older gpt-image-1 using ChatGPT directly: I wasn't able to spot the raccoon - I quickly realized that testing…
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Quoting Andreas Påhlsson-Notini
Quoting Andreas Påhlsson-Notini
AI agents are already too human. Not in the romantic sense, not because they love or fear or dream, but in the more banal and frustrating one. The current implementations keep showing their human origin again and again: lack of stringency, lack of patience, lack of focus. Faced with an awkward task, they drift towards the familiar. Faced with hard constraints, they start negotiating with reality. — Andreas Påhlsson-Notini, Less human AI agents, please. Tags: ai-agents, coding-agents, ai
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