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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

Fundamentals of Data Engineering • Matt Housley & Joe Reis • GOTO 2025

Fundamentals of Data Engineering • Matt Housley & Joe Reis • GOTO 2025

Joe Reis and Matt Housley, authors of "Fundamentals of Data Engineering," reflect on the book's principles three years after its publication. They discuss how the rise of AI has created both powerful tools and dangerous "bear traps" for engineers, the critical role of expertise in a world of AI-generated content, and why foundational knowledge is more important than ever.

Email Spoofing with SMTP Smuggling: How the Shared Email Infrastructures Magnify this Vulnerability

Email Spoofing with SMTP Smuggling: How the Shared Email Infrastructures Magnify this Vulnerability

SMTP smuggling is a critical vulnerability allowing email spoofing that bypasses standard authentication protocols like SPF and DMARC. This research presents a large-scale study on its prevalence, uncovering widespread issues due to shared infrastructure and incomplete patches, and introduces a novel, non-intrusive methodology for ethically testing private email services.

A Framework for Abusability Analysis: The Case of Passkeys in Interpersonal Threat Models

A Framework for Abusability Analysis: The Case of Passkeys in Interpersonal Threat Models

This talk introduces an "abusability analysis framework" to evaluate technologies like passkeys under interpersonal threat models, such as intimate partner violence. An analysis of 19 services revealed critical implementation flaws, including irrevocable cloned passkeys and the failure of password resets to secure accounts, which can create persistent backdoors for abusers.

‘Hey mum, I dropped my phone down the toilet’: Investigating Hi Mum and Dad SMS Scams in the UK

‘Hey mum, I dropped my phone down the toilet’: Investigating Hi Mum and Dad SMS Scams in the UK

An empirical study of the 'hi mum and dad' SMS scam, a new interaction-based fraud technique. The research dissects the scam's lifecycle, from initial contact to financial exploitation, by analyzing scam messages, mobile network data, and mule accounts in collaboration with a UK mobile operator. Key findings reveal the psychological principles used, the abuse of mobile and financial infrastructure, and the underlying structure of scammer networks.

Dion: The distributed orthonormal update revolution is here

Dion: The distributed orthonormal update revolution is here

Kwangjun Ahn from Microsoft Research introduces Dion, a next-generation optimizer that improves upon Muon by using amortized power iteration. Dion enables efficient, scalable training for massive models by orthonormalizing a low-rank subspace, reducing compute and communication overhead in distributed settings.

Software finally eats services - Aaron Levie

Software finally eats services - Aaron Levie

In a dynamic discussion, experts debate the merits of pricing H-1B visas versus the current lottery system, questioning what the policy should optimize for. They explore the real-world impact of AI on developer productivity, with Box reporting that 30% of its code now comes from AI, and highlight how small, senior teams are achieving superhuman results by shifting from writing code to reviewing it. The conversation also covers why bottom-up, personal AI tools are succeeding where top-down corporate pilots fail, and analyzes the platform shift, arguing that AI-native startups have a unique advantage in a landscape where incumbent scale is being neutralized by AI agents.

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