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Simon Willison's Weblog ·
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Machine learning · Research & engineering
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How to Measure AI Adoption, Performance, and ROI With 12 KPIs
Towards Data Science ·
Laser Light Cannon - a review
AI Weirdness ·
ToyBlocks: A controlled world for robot learning and evaluation
Hugging Face - Blog ·
How Snorkel runs realistic agent simulations with Modal
Modal Blog ·
Migrating vLLM to the LibTorch Stable ABI
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22 sources ↓Quoting Nilay Patel
Quoting Paul Ford
datasette-llm 0.1a10
datasette-apps 0.3a0
datasette-agent 0.5a0
llm 0.37.1
Qwen 3.8 27B on my laptop can interpret model weights, too
I discovered a sound that leaks your exact location (and it's everywhere) - YouTube
October sponsors-only newsletter
llm 0.37
The U.S. Census Bureau and “Super Intelligence”
If in doubt, delete the uv.lock file
Quoting Kyle Kingsbury
How We Took Over ChatGPT Accounts
datasette-llm 0.1a9
dbreunig/nesformer
API credits benefit for eligible ChatGPT subscriptions
Building a multiplayer game world with autonomous Fable-class models
Quoting Ben Hylak
Quoting Ted Sanders
How to Measure AI Adoption, Performance, and ROI With 12 KPIs
How to Manage Python Environments with uv Instead of venv and pip
Build Your First Multi-Tool AI Agent with Ollama and Python
Give Your Python AI Agent Persistent Memory with One JSON File
How to Report for 100+ Clients With One Semantic Model
How We Built NASA's Zero-Shot Detector for Gas Leaks from Space
How GEO, WebMCP, and Bot Paywalls Are Building the AI-Native Internet
Why a Tiny GPT Can Know Two Facts and Still Not Connect Them
A Computational Analysis of Women’s Suffrage in Historical Newspapers
How to Combine Contradictory Filters in DAX
Let Decision Models Guide Your Voice Assistant
Beyond Classical: A Quantum Approach to Time-Series Prediction
AI Will Do Your Job. That Should Be Good News.
A Good Shooter or Just a Good Shot Selector? Using Python to Find Out
Your Agent Works in the Demo. Now Make It Survive Monday.
Three Techniques to Understand Your Codebase When Coding Agents Write the Code
Credit Risk: What Are We Actually Measuring?
Reflection's Beam Is the New Open-Weight Model Everyone Is Talking About
Our AI Has an Invisible Footprint — Let's see How to Measure It
Let Decision Models Watch Your Agents
Laser Light Cannon - a review
Blacklight candy
Bonus: Jolly Ranchers + LASERS
The Worm With 100 Butts
Bonus: Irish music zine
Jolly Rancher fluorescence
Bonus: Neon photobombs the Jolly Rancher photos
Laser merch photoshoot (sabotaged by cat)
Bonus: some of my favorite cat photobombs
Giddy up, it's Botober 2026
Bonus: Rejected Racehorses
Do they even lase? Definitive ranking of Steven Universe gems by a laser scientist
Laser gems
The lasers in Clash of the Titans
ToyBlocks: A controlled world for robot learning and evaluation
Egyptian and Nigerian English join the Open ASR Leaderboard
New NVIDIA Cosmos 3 Open Models for Interactive World Simulation
A Closer Look at Phonon TTS. Launching High-Quality On-Device Speech That Tops the Benchmarks.
Dharma Field Extractor: Any Document In, Structured Fields in JSON Out
StateBench: Testing how language models track state changes over long documents
Palette: teaching a small model to build decks in your design language
Same Model, Different Harness: CUGA, Hermes, and Deep Agents — When to Pick CUGA?
CWE-bench v2: More coverage, quality, and transparency
Transformers Model Integration Contracts
nemotron-halloween
Granite Switch 4.1.1 — Update models like you update software
Announcing Project ProtoStar: Making Publicly Funded Science AI-Ready
Introducing AnySpeechRecognizer and AnyDecisionModel: Open Models for Speech and Decisions on Apple Platforms
Welcome Le Chonk: Mistral Large 4 on Hugging Face
NVIDIA Nemotron 3.5 Transcribe and Granary v2: Intelligent Multilingual Transcription You Can Prompt and Adapt
Build specialized multimodal models with LFM3
Can we trust LLMs to judge whether a research idea is novel?
LitPivot: Developing research ideas through dynamic contextualization within the literature landscape
Does Your Model Run on AWS Trainium? Look It Up
How Snorkel runs realistic agent simulations with Modal
Launching a trillion-parameter model at Sakana AI
Introducing our Training API
Get started with LLM training on Modal
Serverless routing made sticky
NVIDIA Vera CPUs double throughput for Modal Sandboxes
How Legora runs 2,000 parallel agent evals on Modal Sandboxes
Building fast filesystems for VMs
Augment Your LiveKit Agent with Modal GPUs
Muse Spark Open is now available on Modal
Modal crosses $1B in Annualized Run Rate and raises $750M Series D
Toward RL on mixed-precision, mixed-accelerator samplers
Endpoint Candidates: evaluate and promote inference endpoints
TypeSafe AI scales Jev to trillions of tokens in three days on Modal
Modal Clusters are generally available
Sidecars: A low-latency trust boundary for Sandboxes
Runtime Roundup: VM Sandboxes, Multi-node clusters, and more
VM Sandboxes: Full computers for agents
Quail: Speeding up AI-SQL by jointly optimizing query planner and inference engine
How to serve trillions of tokens for trillion-parameter coding agents
Migrating vLLM to the LibTorch Stable ABI
Zero Mismatch, Simple Async RL: REINFORCE Zero, DeepSeek-V4.1 and Kimi K3.1
Introducing Kinference: An Open Source Inference Control Plane for vLLM and Kubernetes
vLLM Delivers Day-0 Support for Kimi K3.1 Pro
Day 0 support for Mistral Large 4 on vLLM
Serving DeepSeek-V4.1-Flash at Scale: vLLM Matches DeepInfer and Scales to GB300 NVL72
GLM-5.3 Optimizations, Part 2: PCP, DCP, and Hybrid HiSparse on 16 H200s
vLLM Delivers Day-0 Support for MiniMax-M3.1-Flash
Day-0 Support for Flint on vLLM
Announcing Humming: Fast, Flexible Kernels for Quantized Inference
Introducing vLLM TorchTPU
Achieving near-zero-downtime scaling in Elastic Expert Parallelism
Hyper Optimizing Kimi K3 in vLLM: Moving Fast and Responsibly
Scaling Kimi K3 on AMD Instinct MI355X: Matching NVIDIA HGX B300 Throughput per GPU on AgentX
Serving Reflection Beam on vLLM from Day 0
Day 0 support for Muse Spark Open on vLLM
Announcing Day 0 Support for NVIDIA Nemotron 3.5 Super VL on vLLM
Adaptive Verification Without a Confidence Head
Push-Based KV Transfer to Improve TTFT and TPOT for Disaggregated Inference in vLLM
Finish RL Training Faster: Bitwise-Consistent, High-Performance, Agent-Driven
The GLiDE Family: Decision Models from 0.4B to 27B
Open-Weight Models in Production: Lessons From Our Panel
Building Agents That Remember: A Guide to Agent Memory Solutions
How to Train a SOTA Frontier Decision Model
What is RLCD? The Training Method Behind Decision Models
A Practical Guide to Harness Engineering
Introducing the Fastino Training API: An Open Weight Models Training API for Supervised Fine-Tuning and Reinforcement Learning
Big Model, Small Adapter: Fine-Tuning NVIDIA Nemotron 3.5 Super VL
Decision Models Explained: Use Cases and Top Model Comparison
Fine-Tuning vs RAG vs Prompt Engineering: How to Adapt an Open Weight Model
Introducing GLiDE: The First Thinking Decision Model
GLiNER2.5-Decide: An Open-Weight Model for Structured Decision Making
American Open Weight Models: The Opportunity Ahead
What Early Open Weight Model Deployments Reveal About Production AI
How big is the open model economy today?
Was I wrong about open models & cyber risks?
Artificial Analysis v5 and the benchmarker's dilemma
Podcast: Kimi K3.1 Pro, the new cyber reality, and Muse musings
Latest open artifacts (#25): DeepSeek V4.1 Flash 1017, American-made models, and new regulatory controls in the US & China
Meta shakes up the frontiers, open and closed
I expect rapid progress but not towards general superintelligence
The Cyber Risk Discourse is Broken
Debating RSI, the US-China Gap, and Jaggedness with JS Denain of Epoch AI
The current balance of power in open models
Why I still haven’t bought into true RSI
Open-Source AI & Open Models Reading List
One resignation turned the embers of AI fear into a wildfire
When will average people feel AI’s impact?
Latest open artifacts (#24): Motif-3, GLM-5.3, Hy4-preview and open model licenses
How to Train Your own Decision Model like Jev using Unsloth
Choosing an LLM Inference Optimization Technique: A Decision-Tree Approach
The AI Agent Memory Stack: Building Blocks, Patterns, and Frameworks
7 Ways Your AI Agent Is Wasting Tokens (And What to Do Instead)
Fine-Tuning vs. Frozen Embeddings: When to Adapt the LLM vs. the Sklearn Head
Context Managers Beyond Opening Files in Python
Robust Serialization with JSON and Custom Types
Speculative Decoding Explained: How to Get 3× Faster Inference from Any LLM
How to Build a Multi-Modal RAG Pipeline for Images and Documents in Python
pgvector vs. Dedicated Vector Databases: A Production Benchmark
Descriptors and Controlled Attributes in Python
Iterators and Generators for Memory-Efficient Processing
Choosing a Chunking Strategy for Your LLM Apps: A Decision-Tree Approach
Building a Custom LLM Evaluation Harness in Python from Scratch
Building a RAG Pipeline with LLM Embeddings and Scikit-learn
AI Agent Benchmarks Explained: SWE-Bench, GAIA, WebArena, and More
How to Fine-Tune Llama 3 for Custom Tool Calling with Unsloth in Python
Evaluating Graph-RAG vs. Standard RAG: A Hallucination Benchmark on Fact-Dense Queries
Choosing the Right Agentic AI Framework for 2026: A Decision-Tree Approach
Synchronous vs. Asynchronous Agent Execution: Architecture Patterns for Production
Fraction comparison trick revisited
Euclidean, Spherical, and Projective Geometry
How a programming might reinvent the projective plane
Making peace with the projective plane
A unified view of poles and polars
The Unbalanced Group Theorem
The Exponential Time Hypothesis is False
Inversion in an ellipse
Where else to find me
Poles and polars
Computing polar triangles with linear algebra
Duality in spherical trigonometry
Working around a strange Python problem
How the eMudrha certificate debacle might have happened
The number of points on an elliptic curve
Backdoors, Incompetence, and Elliptic Curves
Deliberate imperfection
Refactoring factorials
A frivolous problem with a deeper lesson
Cloud of suspicion lifted from NIST curves
Building Reasoning Models from the Ground Up: A Full Video Course
Language Models for Text Classification: From Bag-of-Words to Jev
GPT-6 Astra, Looped Transformers, and Hidden Reasoning
How Claude Watermarks AI-Generated Text
Building an AI Text Detector From Scratch
Controlling Reasoning Effort in LLMs
Speech models in Ollama
Clef is available on Ollama's cloud
Reflection's Beam is freely available on Ollama for a limited time
Run AI agents safely with Ollama and Fly.io
Ollama now supports Jev-style decision models
Ollama's transparent pricing
30 Months on the Exponential (in Charts)
The Dot and the Swarm
The Overhang
Agency and Agents
An opinionated guide to which AI to use to do stuff
The twilight of the chatbots
Jev: For the builders AND dreamers
How Jack & Jill Cut Candidate Screening Costs By 88% With Jev
Lies, Damned Lies, and Benchmarks
Introducing System One Models & Jev
TypeSafe A raises Series AI
The future of SEO may look more like an Ontology
Becoming Human AI Is Expanding — Here’s What’s Changing
What is RAFT? RAG + Fine-Tuning
Modern Operating Systems for AI Agents
NLP in 2026: Trends, Use Cases & Future of Language AI | Shaip
AI Bias in Hiring Tools: Real Disasters and How Teams Fixed Them
Book Review: Data Centric Machine Learning with Python
Book Review: Domain Specific Small Language Models
Book Review: Software Engineering for Data Scientists
Book Review: Transformers In Action
Trip Report: PyData Global 2025
Book Review: Time Series Forecasting using Foundation Models
A Safe Path to Open Weights
The Future Worth Building Is Human
Interaction Models: A Scalable Approach to Human-AI Collaboration
Harness Engineering for Self-Improvement
Scaling Laws, Carefully
Context Graphs vs Vector RAG vs Raw Context - Agentic memory benchmark
What Are Context Graphs? (And Why AI Agents Need Them)
SAP Sapphire 2026: The Complete Breakdown
Claude for Legal Teams: Contract Review, Compliance and Due Diligence
Vibe Coding Best Practices: 5 Claude Code Habits for Better Agentic Coding
AI Benchmarks Explained: GPQA, SWE-bench, Chatbot Arena and What They Actually Measure
Patterns for Building Cybersecurity Evals
Using LLMs to Secure Source Code
How to Work and Compound with AI
Domain-Specific AI Should Focus on Workflows Rather Than Modeling
AI Evaluation is Becoming an Exciting Standalone Discipline
Software 2.0
AlphaGo, in context
ICML accepted papers institution stats
A Peek at Trends in Machine Learning
ICLR 2017 vs arxiv-sanity
Virtual Reality: still not quite there, again.
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