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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

The Promptware Kill Chain: How Prompt Injection Becomes AI Malware

The Promptware Kill Chain: How Prompt Injection Becomes AI Malware

Promptware introduces a new class of AI malware leveraging prompt injections to exploit architectural flaws in LLMs. This summary details The Promptware Kill Chain, covering stages from initial access and jailbreaking to persistence, lateral movement, and real-world impact. It emphasizes the critical need for a Zero Trust approach, treating AI agents as hostile runtimes to defend against these sophisticated AI-native threats.

India Can Create The Largest AI Companies

India Can Create The Largest AI Companies

This panel from Startup School India explores why India's technical talent is poised to lead the global AI wave, challenging traditional career advice. It highlights Y Combinator's focus on young, high-agency founders who leverage AI for rapid prototyping and embrace 'second mover advantage' to build global companies, emphasizing customer obsession and relentless resourcefulness.

Builders Unscripted: Ep. 4 - Pietro Schirano

Builders Unscripted: Ep. 4 - Pietro Schirano

Pietro Schirano, Founder & CEO of MagicPath, discusses his pioneering work with GPT-5.5 and Codex, transforming creative ideas into software and hardware solutions. He details using advanced AI for image-to-sound conversion, multi-agent workflows, resurrecting obsolete tech with new functionalities, and building his company, MagicPath, on the principle of humans directing AI agents. This interview provides deep insights into the creative potential and practical applications of cutting-edge AI for developers and entrepreneurs.

Welcome Session - Microsoft Research India Academic Summit 2026

Welcome Session - Microsoft Research India Academic Summit 2026

The Microsoft Research India Academic Summit 2026 opens with MSR India Lab Director Venkat Padmanabhan outlining the lab's collaborative research philosophy and Microsoft's evolution into an AI infrastructure powerhouse. He details MSR India's four core research pillars: fundamental AI advancements, specialized domain solutions, efficiency across the AI stack (including small language models), and the crucial diffusion of AI technologies for societal impact in India and the Global South, exemplified by diverse projects and collaborations.

Plenary Talk 3: Challenges and Research Opportunities for Global Hyperscale Services

Plenary Talk 3: Challenges and Research Opportunities for Global Hyperscale Services

This talk provides a comprehensive overview of cellular aging, brain function, and the mechanisms of cognitive decline, particularly focusing on Alzheimer's disease. It delves into the role of various cell types, neural communication, and methods for assessing cognition. The speaker highlights research challenges, the limitations of current pharmacological interventions, and the critical importance of non-pharmacological lifestyle interventions. A significant portion of the discussion is dedicated to the Centre for Brain Research's (CBR) multi-disciplinary efforts in India, including large-scale cohort studies, multimodal data collection, and the development of AI-driven tools and a localized foundation model for the Indian brain to address neurodegeneration.

Plenary Talk 2: Reimagining Education and Skilling for the Age of AI: Challenges & Opportunities

Plenary Talk 2: Reimagining Education and Skilling for the Age of AI: Challenges & Opportunities

Manohar Swaminathan critiques India's "broken" education system, asserting AI offers a unique opportunity for fundamental redesign rather than incremental fixes. He introduces `Echaliva` (reimagined workflows) and `Shiksha` (agentic AI support) frameworks, underpinned by six pillars: pervasive AI access, learner agency in real-world problem-solving, portfolio-based assessment, micro-credentialing, lifelong learning, and faculty incentives focused on impact. The talk details how agentic AI, via tools like "lumens," can manage complex learning pathways and showcases examples from institutions implementing these transformative changes, extending to a "Pluriversity" model for large-scale skilling and enhanced employability.

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