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Guardians of the State: An Air-Gapped AI Fortress for Consumer Data — Rachna Srivastava, DFPI

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Machine Learning

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Guardians of the State: An Air-Gapped AI Fortress for Consumer Data — Rachna Srivastava, DFPI

Guardians of the State: An Air-Gapped AI Fortress for Consumer Data — Rachna Srivastava, DFPI

Rachna Srivastava discusses building a legally defensible AI system for financial fraud detection, emphasizing that generative AI has eroded traditional trust. Her team at DFPI engineered an offline, hardware-secured data pipeline using Kafka, Spark, and semantic routing to ensure explainability, reproducibility, and auditability. They implemented a one-way data diode for secure learning and Apache Iceberg for time-travel queries, asserting that "trust is a physical property" built into the system's core.

Invited Research Talk: Measuring Generalization in EEG Foundation Models

Invited Research Talk: Measuring Generalization in EEG Foundation Models

This talk presents a multi-dimensional evaluation and interpretability framework for EEG foundation models. It reveals that current models often fail to outperform supervised baselines for BCI tasks, lack robustness to sparse channels, and exhibit an aperiodic low-frequency bias, making them better at capturing subject-specific rather than task-specific information. The analysis highlights critical deficiencies and suggests future directions for pre-training objectives and data collection to improve generalization.

Can LLMs Write Fast Multi-GPU Kernels? — Simran Arora, Together AI

Can LLMs Write Fast Multi-GPU Kernels? — Simran Arora, Together AI

Simran Arora discusses the critical bottleneck shift in large AI workloads from GPU compute to inter-GPU communication. Her team's solution, ParallelKittens, offers a set of primitives to optimize multi-GPU kernels by leveraging fundamental transfer mechanisms and compute-communication overlapping. They introduce ParallelKernelBench, a benchmark to evaluate AI models' ability to generate such kernels, revealing that while models can handle syntax, they struggle with deeper reasoning about communication patterns and hardware trade-offs.

Artificial Intelligence

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AI-Native Organisations Run on Skills: How to Structure and Scale Them — Imad Touil, QuantumBlack

AI-Native Organisations Run on Skills: How to Structure and Scale Them — Imad Touil, QuantumBlack

Imad Touil explores the critical need for governing AI skills within organizations, asserting that skills represent the true repository of enterprise know-how. He contrasts simplified coding agent loops with complex, real-world product lifecycles, demonstrating how ungoverned skills lead to technical debt—including duplication, quality degradation, security risks, and lack of discoverability. Proposing a microservices-inspired approach, Touil outlines a centralized skills platform and human-led governance model essential for achieving deterministic workflows, boosting productivity, and mitigating risks in AI-native enterprises.

Your Code Has Bugs. Lean4 Has Proofs: Formal Verification for Engineers — Varun Pant, AWS

Your Code Has Bugs. Lean4 Has Proofs: Formal Verification for Engineers — Varun Pant, AWS

Varun Pant introduces formal verification as the solution to reliably validate AI-generated code, proposing a division where humans define specifications and machines handle code and proof. He details Lean's role as a unified language for code and proof, exemplified by an AI rewriting zlib with 32,000 lines of proof, and AWS's Cedar using Lean specs with Rust production code reconciled by 100 million nightly tests. The talk also covers deductive verification with solvers and future cross-language verification with Strata, aiming for "provably correct" software.

How to Get Your Org to Adopt Coding Agents (Without Shipping Garbage) — Eyal Blum, Figma

How to Get Your Org to Adopt Coding Agents (Without Shipping Garbage) — Eyal Blum, Figma

Figma's internal AI agent adoption journey faces challenges like reduced developer agency, skepticism from senior engineers, and communication inefficiency. Solutions include investing in verification, using a testing pyramid for agent review, prioritizing detailed planning over prompting, engaging skeptics to build AI safety roadmaps, and implementing attention-aware communication by clearly marking AI-generated content.

Technology

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Platform Engineering for Developers, Architects & the Rest of Us • Daniel Bryant • GOTO 2025

Platform Engineering for Developers, Architects & the Rest of Us • Daniel Bryant • GOTO 2025

Daniel Bryant discusses platform engineering for software developers and architects, emphasizing treating platforms as internal products with developers as customers. He outlines a three-layered architecture, the evolution from monolithic systems to microservices, and the importance of 'golden bricks' over 'golden paths' for composability. Key takeaways include API-first design, minimizing cognitive load, avoiding leaky abstractions, and measuring success through frameworks like DORA and DevEx to achieve speed, safety, and scale.

Modern Enterprise Architecture: Architecting for Outcomes • Simon Rohrer • GOTO 2025

Modern Enterprise Architecture: Architecting for Outcomes • Simon Rohrer • GOTO 2025

Simon Rohrer challenges traditional Enterprise Architecture (EA) principles, proposing a modern approach focused on outcomes, continuous evolution, and socio-technical alignment. He outlines five key tenets: Aligning Value, People & Technology; achieving Better Value Sooner, Safer, Happier; implementing Continuous Conversational & Automated Governance; scaling DevOps across the enterprise; and fostering Evolutionary Enterprise Architecture.

Elon's Former Battery Chief on Making Transformers 100x Smaller | Drew Baglino, Heron Power

Elon's Former Battery Chief on Making Transformers 100x Smaller | Drew Baglino, Heron Power

Drew Baglino, former Tesla Powertrain & Energy head and now CEO of Heron Power, reveals why the current electricity grid is inadequate for the explosive growth of AI data centers. He explains how Heron Power's wideband gap power semiconductors will revolutionize grid-to-chip infrastructure, cutting power losses by half, shrinking massive transformers by 100x, and transforming data centers into grid-positive assets for a more efficient and sustainable energy future.

Recent Post

From $0 to $11B: The ElevenLabs Story

From $0 to $11B: The ElevenLabs Story

Mati and Piotr, the founders of ElevenLabs, discuss their journey from a weekend project to a major player in voice AI. They cover their unique remote-first culture, their philosophy of combining product and research, and their vision for voice as the next fundamental human-computer interface, aiming to create AI that can pass a 'vocal Turing test'.

We're All Addicted To Claude Code

We're All Addicted To Claude Code

Calvin French-Owen, co-founder of Segment and former OpenAI Codex team member, discusses the rise of powerful coding agents. He contrasts the architectures of Codex and Claude Code, explores the future of work where engineers become managers of AI, and shares tips for becoming a top 1% power user.

CI/CD Evolution: From Pipelines to AI-Powered DevOps • Olaf Molenveld & Julian Wood

CI/CD Evolution: From Pipelines to AI-Powered DevOps • Olaf Molenveld & Julian Wood

CircleCI's Olaf Molenveld and AWS's Julian Wood explore the evolution of CI/CD, drawing parallels between managing production code and the 'factory' that builds it. They cover the shift to microservices pipelines, optimization strategies, platform engineering trends, and how AI is set to reshape DevOps by acting as an expert system for developers.

Codex launch & OpenClaw/Moltbook chaos: This week in AI agents

Codex launch & OpenClaw/Moltbook chaos: This week in AI agents

The panel discusses OpenAI's new Codex application, framing it as a necessary 'table stakes' move in the competitive AI coding agent market rather than a game-changer. The conversation pivots to the importance of agent orchestration as the next frontier for value creation and monetization. They also explore the Moltbook (OpenClaw) phenomenon—a social network for AI agents—debating whether it's a valuable sociological experiment or a mere novelty, while highlighting the significant security vulnerabilities and practical hurdles it exposes.

Introducing 4D Creation Open Beta and the Future of Gaming with Roblox CEO Dave Baszucki

Introducing 4D Creation Open Beta and the Future of Gaming with Roblox CEO Dave Baszucki

Roblox CEO Dave Baszucki discusses the company's 20-year vision to build the "Holodeck," a high-fidelity, 4D simulation for human co-experience. He explains how Roblox is leveraging its 13 billion monthly hours of vector data to train native AI models for advanced NPCs, moving beyond simple LLMs to create "virtual doppelgängers." Baszucki also covers the future of immersive communication, AI's role in transforming game creation, and Roblox's unique, data-driven approach to hiring talent.

She Raised $64M to Build an AI Math Prodigy | Carina Hong, CEO of Axiom

She Raised $64M to Build an AI Math Prodigy | Carina Hong, CEO of Axiom

Carina Hong, Founder & CEO of Axiom, discusses building a self-improving AI reasoning engine that combines generation and verification. Starting with formal mathematics, Axiom's system has achieved superhuman results on the notoriously difficult Putnam Exam by leveraging formal languages like Lean to overcome the probabilistic and unverifiable nature of standard LLMs. Hong explores how this technology can solve major bottlenecks in hardware and software verification, code migration, and database consistency, and what it means for the future of mathematical research.

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