Tokenless

Tokenless

Guardians of the State: An Air-Gapped AI Fortress for Consumer Data — Rachna Srivastava, DFPI

Interactive discovery

Explore the topic map

Follow the connections between themes, people, and ideas across the Tokenless archive in an interactive topic modeling map.

Open the map Browse posts

Machine Learning

View All
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

View All
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

View All
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 Brutal Truth About Biotech: Why $2B Per Drug Is Killing Innovation

The Brutal Truth About Biotech: Why $2B Per Drug Is Killing Innovation

Venture capitalists Elliot Hershberg and Lada Nuzhna analyze the structural crises facing the biotech industry, from Eroom's Law driving drug development costs to $2.5 billion, to China's rapid, low-cost clinical trials outmaneuvering US startups. They argue that for American biotech to survive, it must shift from competing on commoditized platforms to inventing entirely new modalities and medicines that are impossible to create without bleeding-edge tools like AI, targeting massive opportunities like aging.

AI Is Eating Logistics

AI Is Eating Logistics

Ryan Petersen, founder and CEO of Flexport, explains how AI and Machine Learning are being implemented to revolutionize the multi-trillion-dollar logistics industry. He details specific applications, from ML models that optimize container routing to LLM agents that automate communication, and discusses the cultural and strategic shifts required for a large company to embrace AI-driven, bottom-up innovation.

From Hardware Hacker to CTO: Building Teams That Scale • Meri Williams & Charles Humble

From Hardware Hacker to CTO: Building Teams That Scale • Meri Williams & Charles Humble

Experienced CTO Meri Williams shares hard-won insights on scaling technology teams, moving from a reluctant manager to a seasoned leader. The discussion covers practical wisdom on avoiding the 'Google trap' of inappropriately copying big tech, the high-leverage impact of investing in onboarding, and the critical importance of diversity in building products that serve everyone.

GPT-5.1 and Kimi K2: What ‘Thinking AI’ really means

GPT-5.1 and Kimi K2: What ‘Thinking AI’ really means

The experts discuss OpenAI's GPT-5.1, focusing on its shift towards conversational style and user experience over raw benchmarks. They contrast this with the release of Moonshot AI's Kimi K2 Thinking, a powerful open-source model that challenges the dominance of proprietary systems. Finally, they analyze the profound security, organizational, and cultural risks of Microsoft's plan to introduce 'agentic users' as autonomous employees in the enterprise.

ChatGPT Atlas and the next era of web browsing — the OpenAI Podcast Ep. 9

ChatGPT Atlas and the next era of web browsing — the OpenAI Podcast Ep. 9

OpenAI’s Ben Goodger and Darin Fisher discuss the creation of ChatGPT Atlas, an AI-native browser designed to transform the web experience. They explore how integrating ChatGPT at the core enables agentic capabilities, allowing the browser to take actions on the user's behalf, from summarizing content to automating complex tasks. The conversation covers the architectural decisions behind Atlas, the future of agentic internet traffic, and the vision for a more intuitive, natural language-driven way of interacting with computers.

Inside The Startup Launching AI Data Centers Into Space

Inside The Startup Launching AI Data Centers Into Space

Starcloud launched the first NVIDIA H100 GPU into orbit, a first step towards building massive AI data centers in space. Their vision is to leverage continuous solar power and zero-water cooling to overcome Earth's energy and resource limitations for large-scale compute.

← PreviousNext →

Stay In The Loop! Subscribe to Our Newsletter.

Get updates straight to your inbox. No spam, just useful content.