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Fine-tuning LLMs is a waste of time
People think they can use Fine-Tune for Knowledge Injection. People are Wrong
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The latest blog posts to take off on Hacker News. 6,329 posts.
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The Gentle Singularity
We are past the event horizon; the takeoff has started. Humanity is close to building digital superintelligence, and at least so far it’s much less weird than it seems like it should be. Robots...
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Low-background Steel: content without AI contamination
Somehow I forgot to blog my site: https://lowbackgroundsteel.ai/ . I created it back in March 2023 as a clearinghouse for online resources t...
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Magistral — the first reasoning model by Mistral AI
The most powerful AI platform for enterprises. Customize, fine-tune, and deploy AI assistants, autonomous agents, and multimodal AI with open models.
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AI Saved My Company from a 2-Year Litigation Nightmare
After 2+ years and a tremendous waste of energy and money, my firm Calm Company Fund resolved a lawsuit against us on very favorable terms. What started as one of the most challenging periods of my life became an unexpected masterclass in using AI to level the playing field against well-funded opponents. If you’re…
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Why agents are bad pair programmers
LLM agents make bad pairs because they code faster than humans think. I'll admit, I've had a lot of fun using GitHub Copilot's agent mode in VS Code this month.…
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LLMs are cheap
A lot of people think LLMs are expensive to operate. That was true a couple of years ago, but these people haven't updated their views after an approximately 1000x reduction in prices over two years.
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AI Angst
My input stream is full of it: Fear and loathing and cheerleading and prognosticating on what generative AI means and whether it’s Good or Bad and what we should be doing. All the channels: Blogs and peer-reviewed papers and social-media posts and business-news stories. So there’s lots of AI angst out there, but this…
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How I program with agents
This is the second part of my ongoing self-education in how to adapt my programming experience to a world with computers that talk. The first part, How I program with LLMs , covered ways LLMs can be adapted into our existing tools (basically, autocomplete) and how careful prompting can replace traditional web search…
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Poison everywhere: No output from your MCP server is safe
Protect your organization with Idira®. Modernize identity governance, automate access reviews, and secure every identity across your hybrid cloud environment.
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Building supercomputers for autocrats probably isn't good for democracy
The shameless spin around Stargate UAE
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A look at Cloudflare's AI-coded OAuth library
I decided today to take a look at CloudFlare’s new OAuth provider library, which they apparently coded almost entirely with Anthropic’s Claude LLM: This library (including the schema do…
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The last six months in LLMs, illustrated by pelicans on bicycles
I presented an invited keynote at the AI Engineer World’s Fair in San Francisco this week. This is my third time speaking at the event—here are my talks from October …
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The Illusion of Thinking: Strengths and Limitations of Reasoning Models
Recent generations of frontier language models have introduced Large Reasoning Models (LRMs) that generate detailed thinking processes…
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Reverse engineering Claude Code
I’ve been curious about what happens inside Claude Code so I’ve spent a couple hours digging through prompts that it sends back to Anthropic.
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Re: My AI skeptic friends are all nuts
Re: My AI Skeptic Friends Are All Nuts There was a post recently that was dissing AI Skeptics. While the post is funny at times, I feel like it’s absolutely and completely missing the point of the skepticism. Or at least I feel that it is glossing over some massive pain points of said skepticism. Let’s go over some of…
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Knowledge Management in the Age of AI
My personal website
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Field Notes from Shipping Real Code with Claude
Note: This post comes with a NotebookLM podcast (1linked at the bottom), and three generated audio recordings. You can read the conversation I had
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What was Radiant AI, anyway?
A ridiculously deep dive into Oblivion’s controversial AI system and its legacy
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What “working” means in the era of AI apps
New revenue benchmarks for gen AI startups in year one, based on dozens of enterprise and consumer AI companies we’ve spent significant time with.
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I read all of Cloudflare's Claude-generated commits
Max Mitchell's personal portfolio website showcasing his photography, YouTube videos, coding projects, and work history.
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Workhorse LLMs: Why Open Source Models Dominate Closed Source for Batch Tasks
Open source LLMs now outperform closed alternatives at 90% lower cost for workhorse tasks. We compare benchmarks, pricing, and real-world performance.
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I think I'm done thinking about GenAI for now
The conversation isn’t over, but I don’t think I have much to add to it.
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LLMs and Elixir: Windfall or deathblow?
How the Elixir community can survive — and thrive — in an age of LLMs.
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Comparing Claude System Prompts Reveal Anthropic's Priorities
Reviewing the few changes in the Claude 4.0 system prompts, we get a sense for how system prompts program chatbot applications.
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Prompt engineering playbook for programmers
Turn AI coding assistants into more reliable development partners