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

Juicebox: AI Agents for the Hiring Process

Juicebox: AI Agents for the Hiring Process

Co-founders David Paffenholz and Ishan Gupta share their journey building Juicebox, an AI recruiting platform. They discuss their pivot from a music app to leveraging LLMs for talent search, how they achieved product-market fit, and their vision for AI agents that automate top-of-funnel recruiting.

From Vibe Coding to Vibe Researching: OpenAI’s Mark Chen and Jakub Pachocki

From Vibe Coding to Vibe Researching: OpenAI’s Mark Chen and Jakub Pachocki

OpenAI’s Chief Scientist, Jakub Pachocki, and Chief Research Officer, Mark Chen, discuss the research behind GPT-5, the push toward long-horizon reasoning, and the grand vision of an automated researcher. They cover how OpenAI evaluates progress beyond saturated benchmarks, the surprising durability of reinforcement learning, and the culture required to protect fundamental research while shipping world-class products.

Building Decision Agents with LLMs & Machine Learning Models

Building Decision Agents with LLMs & Machine Learning Models

Large Language Models (LLMs) are unsuitable for building decision agents in complex AI frameworks due to their inconsistency and lack of transparency. This summary explores an alternative approach using dedicated decision platforms and machine learning models to create consistent, explainable, and agile decision-making systems for enterprise automation.

No Priors Ep. 133 | With Alpha School Principal Joe Liemandt

No Priors Ep. 133 | With Alpha School Principal Joe Liemandt

Joe Liemandt, founder of Trilogy and principal of Alpha School, presents a radical vision for K-12 education powered by AI. He advocates for a "Time Back" model where students complete their core academics in just two hours a day using AI tutors, freeing the rest of their time for passion-driven workshops that build real-world life skills. This approach is built on principles of learning science, mastery-based progression, and a controversial but effective system of incentives.

When LLMs Go Online: The Emerging Threat of Web-Enabled LLMs

When LLMs Go Online: The Emerging Threat of Web-Enabled LLMs

Hanna Kim from KAIST explores the significant cybersecurity risks posed by web-enabled Large Language Model (LLM) agents. The research investigates how these agents, equipped with web search and navigation tools, can be misused to automate and scale cyberattacks involving personal data, such as PII collection, impersonation, and spear-phishing, while easily bypassing existing safety measures.

A Formal Analysis of Apple’s iMessage PQ3 Protocol

A Formal Analysis of Apple’s iMessage PQ3 Protocol

A detailed overview of the formal verification of Apple's iMessage PQ3 protocol using the Tamarin prover. The talk covers PQ3's hybrid cryptographic design, its post-quantum security goals like forward secrecy and post-compromise security, the powerful adversary model it resists, and the successful formal analysis of its unbounded double ratchet structure.

← PreviousNext →

Stay In The Loop! Subscribe to Our Newsletter.

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