Assessment of 21 LLMs for generating a differential diagnosis
"Off-the-shelf LLMs have not yet achieved the intelligence required for safe deployment and
remain limited in demonstrating advanced clinical reasoning." https://
jamanetwork.com/journals/jaman
etworkopen/fullarticle/2847679?utm_campaign=articlePDF&utm_medium=articlePDFlink&utm_source=articlePDF&utm_content=jamanetworkopen.2026.4003
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LLMS
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LLMs Assessment for Clinical Diagnosis: Safety and Reasoning Limitations
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Models as Components: Infrastructure and Orchestration Matter Most
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My biggest takeaway: Models are becoming components, not products. What matters now is the system around them: → runtimes
→ memory
→ tool access
→ orchestration
→ secure execution environments That is what turns a model into an agent, and an agent into something the -
Hybrid Strategy: Combining Proprietary and Open Models
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The second misconception I keep seeing: Too many teams think they have to choose between open models and proprietary models. They do not. The smarter path is hybrid. → proprietary models for scale and broad capability
→ open models for flexibility and control
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Claude Mythos Hacking Capabilities and Security Implications
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This is yet another example of Claude Mythos’s incredible hacking capabilities. I expect we’ll see more examples and independent evaluations in the coming weeks that make clear just how powerful (and dangerous, in the wrong hands) this model could be.
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Mythos Performance Comparison with Opus Models
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So looks like Mythos is better, but not an alien model – jump between Opus 4.5 and Opus 4.6 was similar to a jump from Opus 4.6 to Mythos Preview
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Claude Mythos Explained on CBS Mornings Without Jargon
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I went on @CBSMornings to break down what Claude Mythos means for all of us.
— Matt Shumer (@mattshumer_) 13 avril 2026
If you want to understand the latest in AI, without the jargon, give it a watch! https://t.co/6OXIRCGr5xI went on @CBSMornings to break down what Claude Mythos means for all of us. If you want to understand the latest in AI, without the jargon, give it a watch!
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Opus 4.7 and Sonnet 4.8 Releases Imminent
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Quick reminder, that Opus 4.7 and Sonnet 4.8 releases should be imminent as well.
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Actor Skills Extend Claude Code Capabilities
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Right, the Actor skills extend what Claude Code can actually do
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Apify Actors Connect External Data Sources to Claude Code
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Make Claude Code 10x more useful by connecting it to any data source! Apify Actors are pre-built data scrapers that connect to Claude Code as agent skills. Most agents can't access external data beyond web search. They can't scrape. They can't extract structured information.
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CLAUDE.md: 15K Stars for AI Coding Guidelines
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If you found it insightful, reshare with your network. Find me → @akshay_pachaar ✔️ For more insights and tutorials on LLMs, AI Agents, and Machine Learning! nitter.net/akshay_pachaar/status/… Akshay 🚀 (@akshay_pachaar) A single 𝗖𝗟𝗔𝗨𝗗𝗘.𝗺𝗱 file just hit 15K GitHub stars. (derived from Karpathy's coding rules) Andrej Karpathy observed that LLMs make the same predictable mistakes when writing code: over-engineering, ignoring existing patterns, and adding dependencies you never asked for. If you've used AI coding assistants, you've hit all of these. But here's the thing: If the mistakes are predictable, you can prevent them with the right instructions. That's exactly what this 𝗖𝗟𝗔𝗨𝗗𝗘.𝗺𝗱 does. You drop one markdown file into your repo, and it gives Claude Code a structured set of behavioral guidelines for your entire project. This is a big deal. – Built entirely around prompt engineering for AI coding assistants – No framework, no complex tooling, just one .md file that shapes behavior Developers are moving past "use AI to write code" and into "engineer the AI's behavior so the code is actually good." The Claude Code ecosystem is growing fast, and the best tools in it aren't always software. Sometimes they're just well-crafted instructions. 100% open-source. I've shared a link to the GitHub repo in the next tweet! — https://nitter.net/akshay_pachaar/status/2043374229199151351#m
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