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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

Are AI Benchmarks Telling The Full Story? [SPONSORED]

Are AI Benchmarks Telling The Full Story? [SPONSORED]

AI models are often benchmarked like Formula 1 cars, excelling on technical exams but failing the test of daily human experience. Researchers Andrew Gordon and Nora Petrova from Prolific critique the 'leaderboard illusion' of current ranking systems and introduce their HUMAINE leaderboard, a new framework that uses census-based sampling and the TrueSkill algorithm to measure how helpful, safe, and relatable models are to real people, not just tech enthusiasts.

The Infinite Software Crisis – Jake Nations, Netflix

The Infinite Software Crisis – Jake Nations, Netflix

In an era of the "Infinite Software Crisis" where AI-generated code outpaces human understanding, this talk argues for choosing "simple" design over "easy" generation. The speaker presents a three-phase methodology—Research, Planning, and Implementation—that forces developers to think critically before generating code. This approach leverages AI for mechanical tasks while ensuring that human judgment, context, and a deep understanding of the system remain the core of the software development process, turning human insight into the ultimate competitive advantage.

Agentic AI Meets Shadow AI : Zero Trust Security for AI Automation

Agentic AI Meets Shadow AI : Zero Trust Security for AI Automation

The video explores the risks of Agentic AI, which acts rather than just chats, and the emergence of 'Shadow AI'—unofficial, unmonitored AI systems. It proposes a unified control plane for AI security and governance, using a continuous loop of discovery, assessment, governance, and auditing to ensure safe automation. The concepts are illustrated with practical use cases in healthcare and public services.

Paying Engineers like Salespeople – Arman Hezarkhani, Tenex

Paying Engineers like Salespeople – Arman Hezarkhani, Tenex

Arman Hezarkhani, CTO of Tenex, challenges traditional time-based compensation models for software engineers. He argues that in the age of AI, incentives must be directly tied to value shipped, not hours worked. This talk details Tenex's outcome-based system where engineers are paid per story point, exploring the mechanics, cultural shifts, and risk mitigations that drive a high-velocity, high-trust engineering team.

Architecting AI Security & Trust Layers | Sumeet Jeswani | AI/Cloud Specialist | Google #ai

Architecting AI Security & Trust Layers | Sumeet Jeswani | AI/Cloud Specialist | Google #ai

Sumeet Jeswani of Google discusses the critical shift from AI-powered to AI-orchestrated cyber attacks, where autonomous agents now lead complex security breaches. The summary explores new manipulation techniques like prompt and data injection, and outlines a multi-layered defense strategy rooted in the principles of least agency, defense-in-depth, and building security into AI systems from the ground up.

The History of The Fintech Industry, Explained

The History of The Fintech Industry, Explained

a16z's David Haber and Plaid CEO Zach Perret chart the dramatic seasons of fintech, from the explosive VC-fueled boom of 2020-2021 to the deep freeze of 2022 and its current resurgence. They explore the transformative forces reshaping the industry today, including AI's dual role as both a primary tool for sophisticated fraud and the ultimate defense against it. The conversation also covers the rise of embedded finance, the renewed importance of deposits, and how incumbents are finally embracing external software, with Plaid's own journey serving as a microcosm of the industry's evolution.

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