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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

Baseten CEO Tuhin Srivastava on Custom Models, and Building the Inference Cloud

Baseten CEO Tuhin Srivastava on Custom Models, and Building the Inference Cloud

Baseten CEO Tuhin Srivastava discusses the explosive growth in AI inference, driven by the adoption of specialized and post-trained open-source models. He covers the strategic importance of owning the software layer on top of compute, navigating the severe GPU supply crunch with a multi-cloud fabric, the evolving landscape of AI workloads, and the operational lessons learned from scaling 30x in one year.

Beyond Bigger Models: Recursion As The Next Scaling Law In AI

Beyond Bigger Models: Recursion As The Next Scaling Law In AI

Recent advancements with Hierarchical Reasoning Models (HRM) and Tiny Recursive Models (TRM) show how recursion at inference time enables small, 7-million parameter models to outperform models 1000x their size on complex reasoning tasks. This is achieved by giving models compute depth to break through the inherent reasoning ceilings of standard feed-forward Transformers.

Getting Humans Out of the Way: How to Work with Teams of Agents

Getting Humans Out of the Way: How to Work with Teams of Agents

Rob Ennals, creator of Broomy, discusses a paradigm shift in working with AI coding agents: moving away from micromanagement towards orchestrating teams of parallel agents. The key is to design robust, automated validation systems and reshape the development environment to empower agents to work autonomously, efficiently, and at scale.

988: In Case You Missed It in April 2026 — with @JonKrohnLearns

988: In Case You Missed It in April 2026 — with @JonKrohnLearns

This episode explores the foundations of AI agent memory, drawing parallels with human neuroscience. It also covers the practical impact of AI on data engineering roles, the democratization of AI development through low-code tools, and innovative applications of AI in elementary education to foster critical thinking.

Granite 4.1, IBM Bob & building a quantum ecosystem

Granite 4.1, IBM Bob & building a quantum ecosystem

This episode of Mixture of Experts breaks down IBM's enterprise-focused Granite 4.1 and Project Bob, Google DeepMind's DiLoCo distributed training method, the inference-efficient DeepSeek V4 model, and IBM's strategy for achieving quantum advantage through strategic partnerships.

Running AI Engineer with AI — swyx

Running AI Engineer with AI — swyx

Swyx, co-founder of the AI Engineer conference, reveals how his "tiny team" of nine people leverages AI agents like Cognition's Devin and Town Assistant to manage a multi-million dollar business and organize large-scale events. He shares practical examples of how agents have transformed their workflow, from converting Figma designs to pixel-perfect websites to managing complex conference schedules and even performing personal research tasks, arguing for a future focused on "Agent Experience" (AX).

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