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Crafty CTO - Untitled Article

Crafty CTO

Faster sorting algorithms discovered using deep reinforcement learning So how about an AI story that isn’t generative AI. We then trained a new deep reinforcement learning agent, AlphaDev, to play this game. To realize this, we formulated the task of finding a better sorting routine as a single-player game.

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The Emergence

Crafty CTO

When the jungle tears itself down and builds itself into something new. If you’ve read or watched The Expanse, you know that Corey’s churn is extreme—and that’s not what I anticipate from our AI emergence. Amos: This boss I used to work for in Baltimore, he called it the Churn. When the rules of the game change.

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Of Moats and Moat Busters

Crafty CTO

MosaicML MPT-30B and MPT-7B Models First off—it wasn’t the MPT-7B model that was the news over the past week, it was MPT-30B , announced June 22nd. This chart from MosaicML compares the two models’ capabilities: MPT-30B isn’t benchmarked completely on the LMSYS leaderboard , but 7B is there and competitive.

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The Top 10 SaaStr Learnings from Mary Meeker’s Latest Report on AI

SaaStr

The companies building on this new stack will have 10x advantages over those still running traditional architectures. Max: Outperforms both DeepSeek and ChatGPT on key benchmarks Baidu Ernie 4.5: China views AI supremacy as essential to geopolitical leadership. Internet Users Will Be AI-First The Untapped Market: 2.6B

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How to Think of R&D Spend

Andreessen Horowitz

And, especially when you’re considering integrating a new technology platform into your business—like AI today, or cloud a decade ago—how do you invest in innovation without losing control of your runway and budget? Map your spend to your product roadmap, then attach an expected ROI and timeline for the expected return.