▶ ai·
The Sequence Opinion #900: Beyond the GPU: Is Google the Only Full-Stack Rival to NVIDIA?
A thesis about the biggest AI rivarly nobody is talking about.
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▶ ai·
The Sequence AI of the Week #899: Inside Inkling: A Trillion-Parameter Model That Only Wakes Up 41 Billion at a Time
Thinking Machine's new model revitalizes America's open source AI approach.
▶ ai·
The Sequence Knowledge #898: The Trace Is the Teacher: Distilling Reasoning Into Small Models
From the release of DeepSeek R1, distillation in reasoning models have become one of the most common techniques in frontier AI.
▶ ai·
The Sequence Radar #897: Last Week in AI: China, Compression and the Open-Model Race
Next Week in The Sequence:
▶ ai·
The Sequence Opinion #896: Spark, Compute, and the Two Metas
Can Meta compete with frontier AI labs.
▶ ai·
The Sequence AI of the Week #895: OpenAI's Show Us Where Coding Evals Break
A visual explanation for OpenAI's new science for coding evaluations and benchmarks.
▶ ai·
The Sequence Knowledge #894: When the Student Started Talking Back: Distillation in the LLM Era
A joiurney through the evolution of distillation for frontier models.
▶ gpt·
The Sequence Radar #893: Last Week in AI: GPT-5.6, Grok 4.5, Muse Spark 1.1 and the Post-Chatbot Stack
Next Week in The Sequence:
▶ ai·
The Sequence Opinion #892: The Anatomy of a Good Environment: When Verifiability is Not Enough
What properties make certain domains suitable for AI.
▶ ai·
The Sequence AI of the Week #891: Prompting a Spreadsheet : Inside Google’s TabFM for Tabular AI
Addressing one of the biggest use cases in enterprise AI.
▶ ai·
The Sequence Knowledge #890: A Brief History of Model Distillation
The papers and techniques that laid out the ground work to evolve distillation to this level.
▶ claude·
The Sequence Radar #889: Fable 5's Comeback, ZCode's Debut, Claude Science, and the $3.5B Deployment Land Grab
New models, agents and the evolution of the FDE landscape as the new battle field in AI.
▶ ai·
The Sequence Opinion #888: Everything You Need to Know About the AI in Space Race
Use cases,key platforms, architectures, challenges and more.
▶ ai·
The Sequence AI of the Week #887: Meta's Autodata: When Models Learn to Make Their Own Lessons
This research paper is pushing the boundaries of synthetic data.
▶ ai·
The Sequence Knowledge #886: Demystifying Model Distillation
Understanding the key principles of distillation in simple terms.
▶ ai·
The Sequence Radar #885: Last Week in AI: Models, Games, and the Future of Evaluation
New model releases, new agents and a soccer cup.
▶ ai·
The Sequence Opinion #884: Self-Driving Labs: The Laboratory That Chooses Its Next Experiment
An essay about the raise of autonomous science environments.
▶ qwen·
The Sequence AI of the Week #883: Qwen is Getting Into Robotics
One of the main frontier AI models is adding embodied AI capabilities.
▶ ai·
The Sequence Knowledge #882: A New Series About Distillation
A deep dive into one of the most important techniques in modern AI.
▶ ai·
The Sequence Special #881: The Soccer World Cup of AI Models
What happens when AI models compete in the most popular sport in the world?
▶ cursor·
The Sequence Radar #880: Last Week in AI: A $60B Cursor Deal, Google's Brain Drain, and Midjourney's Body Scanner
A week of really unexpected turns in the AI market.
▶ ai·
The Sequence Opinion #879: When Tokens Become Balance Sheet Items
The Token Economy Is Here. We’re Measuring It Wrong.
▶ ai·
The Sequence AI of the Week #878: Inside Google Deepmind's First Real Crack in Next-Token Generation
DiffusionGemma is one of the most serious non-transformer models in the market.
▶ ai·
The Sequence Knowledge #878: Beyond Transformer: What We Learned
And a new series about Distillation
▶ ai·
The Sequence Radar #877: Last Week in AI: Anthropic Ships, Apple Borrows, Musk Lists, Bezos Builds
AI just got way bigger.
▶ ai·
The Sequence Opinion: Systems of Record vs. Systems of Action
A new business software paradigm for the agentic era.
▶ ai·
The Sequence AI of the Week #875: Why Your Language Model Needs a Nap
On “Language Models Need Sleep,” and the slow death of the train/test split
▶ ai·
The Sequence Knowledge #874: Transformers or Not?
One of the biggest debates in modern AI.
▶ ai·
The Sequence Radar #873: Last Week in AI: Soccer, S-1s, and Supermodels
A new AI soccer tournament, major model releases, fundraises and Antropic's S-1.
▶ ai·
The Sequence Opinion #872: The Cake Is a Battlefield: Who Really Controls the AI Stack
Full stacks vs layer specialists. That's the AI race.
▶ claude·
The Sequence AI of the Week #871: Inside the Loop with Claude Opus 4.8
Might seem like a minor release. But it really isn't.
▶ ai·
The Sequence Knowledge #870: Liquid Models and the Search for a Post-Transformer Architecture
Inside one of the msot promising non-transformer architectures.
▶ claude·
The Sequence Radar #869: Last Week in AI: The Token Becomes the Unit of Account — Opus 4.8, OpenRouter, Cognition, Snowflake, and a papal warning
Opus 4.8 and remarkable fundraising events.
▶ ai·
The Sequence Opinion #868: Recursion Is the New Scaling Law
The technique pushing breakthroughs in agentic computing.
▶ ai·
The Sequence AI of the Week #867: Thinking in Latents: Why Sapient's HRM-Text Is a Quiet Rebuke to Chain-of-Thought
One of the most impressive small models recently released.
▶ ai·
The Sequence Knowledge #866: Three Text Diffusion Models You Need To Know About
LlaDa, Gemini Diffusion and Mercury rule the space.
▶ ai·
The Sequence Radar #865: Last Week in AI: Last Week in AI: Karpathy, Google, Colossus, and the Coming IPO Wave
The next AI frontier might be capital structuring.
▶ ai·
The Sequence Opinion #864: Every AI Agent Needs a Computer
The raise of agentic sandboxes.
▶ ai·
The Sequence AI of the Week #863: The Model is the Interface: Inside Thinking Machines' Interactive Models
Thinking Machines’ interactive models turn real-time conversation, vision, audio, and tool use into one continuous learned system.
▶ ai·
The Sequence Knowledge #862: Learning About Text Diffusion Models
One of the most credible alternatives to transformers.
▶ ai·
The Sequence Radar #861: Last Week in AI: IPOs, Interactive Models, and Recursive Dreams
Cerebras monster IPO, three new innovative frontier AI labs
▶ ai·
The Sequence Opinion #860: Every Company’s Last eXam: Some Reflection About Practical AI Evals
Some ideas about how companies should think about evaluations.
▶ claude·
The Sequence AI of the Week #859: Reading Claude’s Mind in English: A Note on Natural Language Autoencoders
Anthropic's fascinating new papers for the future of AI interpretability.
▶ ai·
The Sequence Knowledge #858: How State Space Models Went from Curiosity to Serious Transformer Competitor
Inside the core ideas, potential and challenges of SSMs
▶ ai·
The Sequence Radar #857: Last Week in AI: Inside the Machine, Outside the Text Box
Some groundbreaking research from Anthropic, OpenAI’s new voice models and major valuation shifts in Chinese AI labs.
▶ ai·
The Sequence Opinion #856: The Salesforce of agents won't be Salesforce, The Google of agents won't be Google
Building software for the agentic economic.
▶ nemotron·
The Sequence AI of the Week #855: Inside Nemotron Omni: NVIDIA’s New Multimodal Brain for Agents
The new member of the Nemotron family is an incredibly impressive release.
▶ ai·
The Sequence Knowledge #854: Return of the King: Unrolling the xLSTM Architecture
An unexpected alternative to transformers.
▶ ai·
The Sequence Radar #853: Last Week in AI: The Great AI Fundraising Wars and a New Frontier Lab
Anthropic vs. OpenAI, Legora vs. Harvey.
▶ ai·
The Sequence Opinion #852: The Bitter Lessons for Agentic Interfaces: A CLI for EVERYTHING
Every SaaS will be a CLI.