gpt 5.5 and github pages and markdown
COMPUTING
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Partnership with SpaceX Increases Compute Capacity for Claude
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We’ve agreed to a partnership with @SpaceX that will substantially increase our compute capacity. This, along with our other recent compute deals, means that we’ve been able to increase our usage limits for Claude Code and the Claude API.
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Compute and Energy as Decisive Factors in AI Economics
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That’s true. Compute and energy decide everything
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Rich will get advanced tech, hope everyone gets rich
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Hey Grok, can you help people get an imagination? It can. If you ask it the right way. 🙂
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Fully Homomorphic Encryption: Breakthroughs in Speed and Adoption
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Fully homomorphic encryption was invented in the 1980s.
— Cerebras (@cerebras) 6 mai 2026
Why wasn't it adopted sooner? A 100,000x slowdown, driven by memory boundedness. Ajay Joshi from @CipherSonicAI explains how his team got it down to less than 2x.
(if this pattern sounds familar… LLM inference is… pic.twitter.com/gBVRMCBhBRFully homomorphic encryption was invented in the 1980s. Why wasn't it adopted sooner? A 100,000x slowdown, driven by memory boundedness. Ajay Joshi from @CipherSonicAI explains how his team got it down to less than 2x. (if this pattern sounds familar… LLM inference is
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Microsoft Research Paper on Agent-Based Interpretability for AI
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NEW paper from Microsoft Research. (bookmark it) The entire interpretability literature is built around human readers. As more analysis gets delegated to agents, the right target of interpretability shifts. This paper is a recipe for designing tools that agents can actually
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Amodei Interview: Compute Constraints and Solutions for AI Growth
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Dario&Daniela Amodei Interview: The 80x growth reportedly caught them completely off guard, and that's the reason for the compute constraint. The compute deal with SpaceX is the first attempt to address the shortage and continues to search for solutions.
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AI building emotional friends with composable graph-based memory and RL environments
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This could actually be a very strong bear case for Tesla the company. If their cars are so good that they really don't need any maintenance for 100s of thousands of miles, the whole upgrade cycle could be well below the industry average.
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Book Announcement: Data Without Labels for Practical Unsupervised Machine Learning
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Try making a moodboard of the old images, might work great
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AI has no impact on employment, reviving old economic paradox
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Thousands of CEOs admit #AI had no impact on employment or productivity—and it has economists resurrecting a paradox from 40 years ago
by @sashrogel @FortuneMagazine Learn more: https://
bit.ly/4cRMybO #MachineLearning #ArtificialIntelligence #DL