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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

AI on Android: Ask me Anything — Florina Muntenescu & Oli Gaymond, Google DeepMind

AI on Android: Ask me Anything — Florina Muntenescu & Oli Gaymond, Google DeepMind

Android provides a comprehensive AI strategy through AI Core, which manages the on-device Gemini Nano model. Developers can use the ML Kit GenAI APIs for easy access, with a hybrid inference option to fall back to the cloud for broader device support, ensuring both performance and reach.

Reflections of AI: A Trilogy in 4 Parts • Rasmus Lystrøm • GOTO 2025

Reflections of AI: A Trilogy in 4 Parts • Rasmus Lystrøm • GOTO 2025

In a talk styled as "A Trilogy in Four Parts", Rasmus Lystrøm critically examines the real-world impact of Generative AI, debunking productivity myths and highlighting hidden costs like degraded code quality and environmental strain, while advocating for a return to solving real user problems with valuable, often simpler, technology.

AI at college graduations and why Claude blackmails

AI at college graduations and why Claude blackmails

The Mixture of Experts team discusses the growing skepticism towards AI among younger generations, a Microsoft study revealing how LLMs can corrupt data in complex workflows, Anthropic's data-centric fix for Claude's "blackmailing" issue, and the cultural debate over an AI-generated story potentially winning a literary prize, all circling the central themes of human ownership, trust, and the need for better processes in the age of AI.

AI Agents Need Computers: 74% MoM Growth, 850K/Day Runs, & New Agent Cloud — Ivan Burazin, Daytona

AI Agents Need Computers: 74% MoM Growth, 850K/Day Runs, & New Agent Cloud — Ivan Burazin, Daytona

Daytona CEO Ivan Burazin discusses the company's pivot from developer environments to composable computers for AI agents. He explains the unique infrastructure challenges posed by spiky RL and eval workloads, Daytona's bare-metal architecture with a custom scheduler for high performance, and the future need for stateful Windows and macOS sandboxes to automate knowledge work.

Cooking with Agents in VS Code — Liam Hampton, Microsoft

Cooking with Agents in VS Code — Liam Hampton, Microsoft

Liam Hampton from Microsoft presents a practical framework for using AI agents effectively by categorizing them into three types: local, background, and cloud. He demonstrates how to run all three simultaneously from a single VS Code interface to solve separate problems in one codebase, showcasing a powerful, integrated developer workflow.

Scaling Agents on Kubernetes with acpx and ACP — Onur Solmaz, OpenClaw

Scaling Agents on Kubernetes with acpx and ACP — Onur Solmaz, OpenClaw

Onur Solmaz from OpenClaw discusses the challenge of managing 300-500 daily, often AI-generated, pull requests. He introduces ACPX, a headless CLI for the Agent Client Protocol (ACP), designed to automate PR triage through a node-based workflow. The talk culminates in a vision for on-demand, disposable agent pods on Kubernetes, managed by a Go operator that provisions and tears down full compute environments per task, wiring them into chat platforms like Slack.

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