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The Virtual Cell That Found a Single Gene to Rival Yamanaka Factors—Without the Cancer Risk
Shift Bioscience’s CEO reveals how a virtual cell model and single-cell aging clocks identified a si…
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Curated Long-Form
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Nature Doesn’t Care About Your Benchmark
A computational materials scientist on why the real test of AI is not a benchmark score, but a surpr…
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AI Doesn't Eliminate Jobs—It Restructures Expertise
MIT economist David Autor dismantles the AI job apocalypse narrative with a rigorous, data-backed fr…
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The 10-Year Bridge: Why Post-Quantum Is a Patch, Not a Cure
Renato Renner dismantles the false confidence in lattice-based crypto, explains the NSA's pragmatic …
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Your Laptop Will Find Kernel 0-Days Next Year
Nicholas Carlini lays out the evidence that frontier LLMs have already surpassed human vulnerability…
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The Convergence Proof: What AI Model Representations Reveal About Biological Intelligence
Max Hodak details the empirical evidence showing that deep learning models and biological brains are…
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The FPV Drone Has Already Replaced the Rifleman: A Practitioner’s Guide to the Autonomous Battlefield
Yaroslav Azhnyuk, founder of AI-guided drone company The Fourth Law, delivers a granular breakdown o…
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When Biology Becomes a Write Operation: George Church on the Engineering Threshold Ahead
George Church on why the combinatorial power of multiplexed editing, radical cost declines, and Alph…
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Why the Dollar Isn’t Dying—It’s Just Migrating to New Rails
Brent Johnson explains why the Dollar Milkshake Theory predicted capital inflows long before the cur…
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When Your Robot Policy Understands 'Tissue' But Not 'Don't Crush It'
Princeton's Anirudha Majumdar moves robot safety beyond collision avoidance and into the messy world…
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The Real AI Bottleneck Isn't Chips—It's the Tool That Makes the Tools
Dylan Patel dismantles the surface-level narrative around AI scaling, revealing why ASML's EUV litho…
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Fusion’s Actual Bottlenecks Are Materials and Fuel, Not Physics
A nuclear engineer at Type One Energy walks through the material science and fuel cycle constraints—…
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Remove Yourself as the Bottleneck: Karpathy on the Loopy Era of AI
Andrej Karpathy argues that the next leap in AI capability requires engineers to design systems that…
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The End-to-End Bet: Why Wayve Staked Autonomy on a Single Neural Network
Alex Kendall dismantles the modular autonomy stack, arguing that a general-purpose, data-driven driv…
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Stop Blaming 'Peptide Instability'—Bin Ma on the Workflow That Finds the Real Degradation Site and Fixes It
Bin Ma of Genentech dismantles the key metabolic liabilities that derail peptide programs—and lays o…
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How to Make VOLE-Based ZK Proofs Publicly Verifiable (and Why It Matters for Post-Quantum Signatures)
Carsten Baum breaks down the VOLE-in-the-head technique that transforms fast, designated-verifier pr…
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Quantum Computing and AI Are Converging: Here's Where the Real Technical Boundaries Lie
Scott Aaronson cuts through the hype to map the precise computational limits of quantum machines and…
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The Trust Machine, Not the Speed Machine: Why ZKsync Is Targeting Global Banking
Alex Gluchowski argues that crypto's killer app isn't faster transactions, but mathematically guaran…
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Engineering Biology at Scale: George Church on the Convergence of Multiplexing, AI, and the Next Biotech Epoch
A technical roadmap from the pioneer of synthetic biology on how million-fold cost reductions, multi…
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Who Pulls the Strings? Decoding the Financial Industrial Complex’s Control Over Bitcoin and AI Capital Flows
Simon Dixon maps the alleged manipulation layer connecting BlackRock’s Aladdin, Bitcoin ETFs, and th…