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- Dylan Field

Dylan Field
Dylan Field is a visionary influencer focused on bridging the gap between imaginative concepts and the practical realities of Web3. Through his engaging Twitter content, he explores innovative approaches to blockchain technology and future-forward decentralized applications. His insights inspire followers to connect creative potential with tangible advancements in the crypto space.
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There is likely no open source project better positioned than Mathlib to benefit from reasoning models. Most bullish I've ever felt about an open source project. (... also, while I'm here, maybe we can make the full build times just a little bit faster? 😇 )
More details from http://investor.figma.com https://investor.figma.com/files/doc_financials/2026/q1/Figma-Q1-2026-Prepared-Remarks.pdf
Quick update: not dead. $FIG Q1 results: → 46% YoY revenue growth, accelerating for the 2nd straight quarter → Net Dollar Retention Rate increased to 139%, our highest rate in over two years → Raising 2026 revenue guidance for the year Design matters more than ever. https://t.co/uFLJPAsWAw

This result intuitively follows from what @NeelNanda5 published on modular addition in 2023: https://arxiv.org/pdf/2301.05217 Excellent to see @GoodfireAI raise awareness of mechanistic interpretability. Shared conceptual framings are a prerequisite to meaningful AI safety conversations.
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Latest X Posts
There is likely no open source project better positioned than Mathlib to benefit from reasoning models. Most bullish I've ever felt about an open source project. (... also, while I'm here, maybe we can make the full build times just a little bit faster? 😇 )
More details from http://investor.figma.com https://investor.figma.com/files/doc_financials/2026/q1/Figma-Q1-2026-Prepared-Remarks.pdf
Quick update: not dead. $FIG Q1 results: → 46% YoY revenue growth, accelerating for the 2nd straight quarter → Net Dollar Retention Rate increased to 139%, our highest rate in over two years → Raising 2026 revenue guidance for the year Design matters more than ever. https://t.co/uFLJPAsWAw

This result intuitively follows from what @NeelNanda5 published on modular addition in 2023: https://arxiv.org/pdf/2301.05217 Excellent to see @GoodfireAI raise awareness of mechanistic interpretability. Shared conceptual framings are a prerequisite to meaningful AI safety conversations.