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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

2026 Cost of a Data Breach Report: AI Is Changing Cybersecurity

2026 Cost of a Data Breach Report: AI Is Changing Cybersecurity

The 2026 Cost of a Data Breach Report reveals how AI is transforming cybersecurity, accelerating both attack sophistication and defense capabilities. It highlights rising breach costs, persistent vulnerabilities like phishing and ransomware, and the critical need for organizations to leverage AI and automation to reduce financial impact, improve response times, and strengthen overall security posture against AI-driven threats and future risks like quantum computing.

Let's integrate AI Agents in Event-Sourced Systems — Divakar Kumar, FlyersSoft

Let's integrate AI Agents in Event-Sourced Systems — Divakar Kumar, FlyersSoft

This presentation explores integrating AI agents into existing event-sourced architectures to resolve ambiguous cases in real-time fraud detection. By leveraging a semantic layer built from various bounded contexts (transaction, device, account), specialized agents like Risk Analyzer and Behavior Analyzer use tools and short-term memory to reach a verdict, addressing the "gray zone" where traditional rule-based and ML systems fall short. The approach emphasizes layering agents without replacing existing infrastructure, enhancing judgment in production systems.

Multi-GPU Kernels, Intelligence per Watt, Heterogeneous Inference, and More | YC Paper Club

Multi-GPU Kernels, Intelligence per Watt, Heterogeneous Inference, and More | YC Paper Club

This YC Paper Club explored the growing trend of specialization in AI hardware and software, covering multi-GPU kernel optimization, intelligence per watt metrics for local AI inference, the implications of AI writing systems code, heterogeneous hardware designs for inference, and GPU-accelerated game engines for reinforcement learning.

How Kepler Built Verifiable AI for Financial Services — Vinoo Ganesh

How Kepler Built Verifiable AI for Financial Services — Vinoo Ganesh

Vinoo Ganesh, CEO of Kepler, discusses building verifiable AI for financial services. He argues that while LLMs are powerful probability machines, they are unreliable for deterministic financial tasks. Kepler's solution involves a deterministic substrate that wraps AI, based on three tenets: atomic provenance (AI references, not creates, numbers), scope determinism (AI decides what to compute, but deterministic tools perform the math), and derivation chains (traceable calculation paths for derived figures). This ensures numerical accuracy, verifiability, and traceability, moving beyond simple citations to true proof of work.

Persona Engineering: A Field Guide to AI Synthetic Personas — Ishan Anand, InsightSciences.ai

Persona Engineering: A Field Guide to AI Synthetic Personas — Ishan Anand, InsightSciences.ai

Ishan Anand discusses synthetic personas for market research, drawing parallels to weather forecasting. He outlines three key failure modes—latent confounders, prompt sensitivity, and difficulty predicting actions—and explores techniques like fine-tuning and calibrated prompting to overcome them. Anand stresses the importance of validating personas against human data using distributional metrics and establishing a "noise floor" based on human-to-human consistency, advocating for their use as economic actors and complements to, rather than replacements for, human research.

Alexandr Wang: From Los Alamos to Superintelligence

Alexandr Wang: From Los Alamos to Superintelligence

Alexandr Wang discusses his journey from Scale AI to Meta's superintelligence lab, emphasizing the importance of conviction, systems thinking, and identifying exponential growth opportunities in AI. He highlights Meta's vision for 'personal superintelligence,' the strategic role of open-source and affordable models, and the immense potential of agentic looping for driving innovation and outcompeting incumbents. His core advice for young entrepreneurs is to develop an unshakeable internal compass for the future, embracing vision and ambition as the new scarce resources.

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