Anthropic readies Mythos model with high cybersecurity risk (3 minute read)
A configuration error in Anthropic's content management system exposed a draft blog post describing a new model called Claude Mythos. The model is reportedly larger and more intelligent than the Opus models. The draft warns that the model poses unprecedented cybersecurity risks as it is far ahead of any other AI model in cyber capabilities. Mythos is extremely compute-intensive and expensive to serve - Anthropic is working on making it much more efficient before any general release.
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The Decadelong Feud Shaping the Future of AI (14 minute read)
Dario Amodei and Sam Altman clashed for years when Amodei was still at OpenAI. The final split happened toward the end of 2020, after a disagreement over whether OpenAI should be a market company or a public-good company. Dario left with nearly a dozen OpenAI employees. Within five years, Anthropic would be lining up banks, racing toward an initial public offering before its founders' former employer.
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Science & Futuristic Technology
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I've taken agency in the treatment of my bone cancer (Website)
Sid Sijbrandij ran out of standard care treatments for bone cancer, so he started creating treatments for himself. This site details his journey and the results of the treatments so far. Sijbrandij's cancer is now in remission. He is now working with companies to scale his approach for others.
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Programming, Design & Data Science
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Pretext (4 minute read)
Pretext is a browser library that solves the problem of calculating the height of a paragraph of line-wrapped text without touching the DOM. It uses a clever array of tricks to make the process faster and enable all sorts of new text rendering effects. Pretext supports all languages, including Korean mixed with RTL Arabic and platform-specific emojis. A demo is available in the article.
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How To Solve Problems Of Long Running, Autonomous Agentic Engineering Workflows (11 minute read)
All harness design is to overcome the problems of agents either becoming lazy and cutting corners or being confused and stupid. For most people, starting with a vanilla startup using native features will be good enough. However, a custom agent will allow users to create new workflows that directly address all the ways agents fail in more specific contexts. This article describes all of the problems developers likely face when using agents in long-running autonomous projects so that they can better put these problems into words when creating custom harnesses.
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The Most Important Ideas in AI Right Now (11 minute read)
The most important ideas in AI right now are autonomous component improvement, the transition to intent-based engineering, the move from opacity to transparency, the realization that most work is scaffolding, and the idea that expertise gets diffused into public knowledge. The speed of improvement in many fields is about to accelerate beyond anything we've ever seen. The new bottleneck is being able to say what you actually want. Every organization is going to converge on the same cycle: define what you're trying to do, execute with agents, log everything, collect failures, and let the system improve itself.
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Buying DeepMind (14 minute read)
Google bought DeepMind for $650 million at the end of January 2014. It poured billions into DeepMind's research, but it took a decade for the quest for superintelligence to go into overdrive. This article tells the inside story of how Google ended up purchasing the startup and the specific terms of the final deal.
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pgmicro (GitHub Repo)
pgmicro is an in-process reimplementation of PostgreSQL that is backed by a SQLite-compatible storage engine.
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