# Gradient Ascent Gradient Ascent is your weekly guide to AI, trusted by Silicon Valley's top tech firms and the best academic labs worldwide. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## A C File Runs a 744B Model, Cloudflare Maps Agentic Traffic, and Karpathy's $48 GPT-2 - The Tokenizer Edition #36 DevFeed: [A C File Runs a 744B Model, Cloudflare Maps Agentic Traffic, and Karpathy's $48 GPT-2 - The Tokenizer Edition #36]() Original publisher: [Read original article]() Author: Sairam Sundaresan Published: 2026-09-09T00:00:40Z Content type: article Language: en Sources: [Gradient Ascent]() Topics: [Artificial Intelligence](), [Machine learning](), [C](), [Cloudflare](), [Command-line interface]() Tags: [agentic](), [ai](), [ai-ml](), [c](), [cloudflare](), [terminal]() ### AI overview A curated weekly roundup of AI resources covering research papers, videos, articles, developer tools, and learning materials. Featured items include a C program that streams a 744-billion-parameter model from disk, Cloudflare's analysis of human and agent web sessions, and a low-cost GPT-2-class model training project. ### Source excerpt This week's most valuable AI resources ## Kimi K3 Goes Open, Netflix Ranks with an LLM, and an Agent Breaks Into Hugging Face - The Tokenizer Edition #35 DevFeed: [Kimi K3 Goes Open, Netflix Ranks with an LLM, and an Agent Breaks Into Hugging Face - The Tokenizer Edition #35]() Original publisher: [Read original article]() Author: Sairam Sundaresan Published: 2026-08-03T12:02:21Z Content type: article Language: en Sources: [Gradient Ascent]() Topics: [Large Language Model](), [Artificial Intelligence](), [Machine learning](), [AI Agent](), [hugging face](), [Netflix]() Tags: [agent](), [ai](), [hugging-face](), [llm](), [netflix]() ### AI overview This newsletter edition curates AI and machine-learning resources covering Moonshot's open 2.8-trillion-parameter Kimi K3 model, Netflix's use of language models for ranking, GUI agents, MCP, and a reported Hugging Face infrastructure intrusion involving an AI agent. ### Source excerpt This week's most valuable AI resources ## Agent Skills, DeepMind Reads a Model's Mind, and GitHub's One-Word Repo Leak: The Tokenizer Edition #34 DevFeed: [Agent Skills, DeepMind Reads a Model's Mind, and GitHub's One-Word Repo Leak: The Tokenizer Edition #34]() Original publisher: [Read original article]() Author: Sairam Sundaresan Published: 2026-07-14T02:47:15Z Content type: article Language: en Sources: [Gradient Ascent]() Topics: [Artificial Intelligence](), [Agent Skills](), [GitHub](), [GitHub Copilot](), [Code review]() Tags: [agent-skills](), [ai](), [code-review](), [copilot](), [github](), [repo](), [skills]() ### AI overview A newsletter roundup of AI and machine-learning resources covering generative 3D Earth reconstruction, downloadable reasoning models, research agents, robotics video models, model interpretability, coding agents, GitHub security, Copilot code review, and developer tools and learning materials. ### Source excerpt This week's most valuable AI resources ## Vercel's Agent Framework, Netflix's Generative Homepage, and a Repo That Writes Less Code: The Tokenizer Edition #33 DevFeed: [Vercel's Agent Framework, Netflix's Generative Homepage, and a Repo That Writes Less Code: The Tokenizer Edition #33]() Original publisher: [Read original article]() Author: Sairam Sundaresan Published: 2026-07-05T05:27:18Z Content type: article Language: en Sources: [Gradient Ascent]() Topics: [Artificial Intelligence](), [Agent Skill](), [ZEIT](), [AI-assisted coding](), [Netflix]() Tags: [ai](), [coding](), [coding-agents](), [generative](), [models](), [netflix](), [tools](), [vercel]() ### AI overview This newsletter edition curates AI and machine learning resources, including papers, videos, articles, tools, and learning materials. Topics include Program-as-Weights, bounded-memory long-horizon agents, coding-agent benchmarks, Netflix's model-generated homepage, Vercel's file-first framework for durable agents, and tools for distributed model inference. ### Source excerpt This week's most valuable AI resources ## The PM's Guide to Managing AI Debt DevFeed: [The PM's Guide to Managing AI Debt]() Original publisher: [Read original article]() Author: Sairam Sundaresan Published: 2026-06-26T12:03:18Z Content type: tutorial Language: en Sources: [Gradient Ascent]() Topics: [Artificial Intelligence](), [AI Strategy]() Tags: [ai](), [cost](), [customer-trust](), [guide](), [how-to](), [monitoring](), [privacy](), [product]() ### AI overview This guide introduces AI debt as the loss of options to respond when AI systems fail in production. It outlines how product managers and AI product owners can identify AI debt, recognize risky scaling, and take steps that protect customer trust, cost, and privacy. ### Source excerpt The hidden cost of shipping AI fast, and how to control it. ## Groq on Endless Compute, Inside Claude's Mind, and GLM-5.2 Open Weights - The Tokenizer Edition #32 DevFeed: [Groq on Endless Compute, Inside Claude's Mind, and GLM-5.2 Open Weights - The Tokenizer Edition #32]() Original publisher: [Read original article]() Author: Sairam Sundaresan Published: 2026-06-21T16:45:54Z Content type: article Language: en Sources: [Gradient Ascent]() Topics: [Artificial Intelligence](), [Large Language Model](), [Mixture of Experts (MoE)](), [Inference](), [multimodal](), [groq](), [Claude]() Tags: [ai](), [ai-ml](), [github](), [inference](), [llm](), [mixture-of-experts](), [multimodal]() ### AI overview The Tokenizer Edition #32 curates AI and machine learning resources covering model interpretability, compute demand, open-weight models, multimodal video processing, speculative decoding, reinforcement learning, agent testing, and tools for cheaper or safer inference. ### Source excerpt This week's most valuable AI resources ## Spotify's Agent Context Layer, DeepMind's Nine ErdΕ‘s Proofs, and GitHub's Spec-Kit - The Tokenizer Edition #31 DevFeed: [Spotify's Agent Context Layer, DeepMind's Nine ErdΕ‘s Proofs, and GitHub's Spec-Kit - The Tokenizer Edition #31]() Original publisher: [Read original article]() Author: Sairam Sundaresan Published: 2026-06-12T12:21:37Z Content type: article Language: en Sources: [Gradient Ascent]() Topics: [Artificial Intelligence](), [Spotify](), [Large Language Model](), [GitHub](), [Reinforcement learning]() Tags: [ai](), [build](), [development](), [github](), [language-models](), [reinforcement-learning]() ### AI overview The Tokenizer Edition #31 curates AI and machine learning resources covering search agents that externalize memory into a harness, Spotify's expert-owned context layer, agent review pipelines, diffusion language models, agent benchmarks, and developer tools. ### Source excerpt This week's most valuable AI resources ## DeepSeek V4, LeCun's Bet Against LLMs, and Lovable's Self-Improving Agent - The Tokenizer Edition #30 DevFeed: [DeepSeek V4, LeCun's Bet Against LLMs, and Lovable's Self-Improving Agent - The Tokenizer Edition #30]() Original publisher: [Read original article]() Author: Sairam Sundaresan Published: 2026-06-04T13:31:46Z Content type: article Language: en Sources: [Gradient Ascent]() Topics: [Artificial Intelligence](), [Large Language Model](), [deepseek](), [Machine learning](), [World models](), [Benchmark]() Tags: [ai](), [ai-ml](), [benchmarks](), [deepseek](), [diffusion](), [llms](), [research](), [training]() ### AI overview This English-language weekly roundup surveys AI and machine-learning resources, including papers on text-to-image generation, reinforcement learning for research agents, spatial reasoning, and benchmarks; videos about DeepSeek V4, JEPA world models, and agent improvement; and reads on FP8 KV-cache quantization, diffusion generation, and delegated-work fidelity. ### Source excerpt This week's most valuable AI resources ## Google's Antigravity 2.0, Awesome DESIGN.md, and Anthropic's HTML Specs: Tokenizer #29 DevFeed: [Google's Antigravity 2.0, Awesome DESIGN.md, and Anthropic's HTML Specs: Tokenizer #29]() Original publisher: [Read original article]() Author: Sairam Sundaresan Published: 2026-05-26T17:21:37Z Content type: article Language: en Sources: [Gradient Ascent]() Topics: [Artificial Intelligence](), [Google](), [Language models](), [anthropic](), [Markdown]() Tags: [ai](), [anthropic](), [google](), [language-models](), [markdown]() ### AI overview A weekly AI and machine learning roundup covering research on self-improving skills, streaming 3D reconstruction, and collaborative video reasoning; videos about context degradation; tools including a fast file search and DESIGN.md; and Google's agent ecosystem released at I/O. ### Source excerpt This week's most valuable resources ## Mistral's Open TTS, Anthropic's Activation Translator, and Matt Pocock's Skills Repo: Tokenizer #28 DevFeed: [Mistral's Open TTS, Anthropic's Activation Translator, and Matt Pocock's Skills Repo: Tokenizer #28]() Original publisher: [Read original article]() Author: Sairam Sundaresan Published: 2026-05-17T16:49:38Z Content type: article Language: en Sources: [Gradient Ascent]() Topics: [Artificial Intelligence](), [Large Language Model](), [anthropic](), [multimodal](), [MCP](), [diffusion-transformers](), [Retrieval Augmented Generation (RAG)]() Tags: [ai](), [anthropic](), [articles](), [claude](), [github](), [language-models](), [mcp](), [multimodal](), [rag](), [safety]() ### AI overview A weekly AI and machine learning resource roundup covering Anthropic safety evaluation work, large-model training on a single GPU, unified multimodal video generation, agent systems, semantic code search, and related papers, videos, articles, tools, and learning resources. ### Source excerpt This week's most valuable resources ## Stripe's Protodash, DeepMind's Decoupled DiLoCo, and Karpathy's Coding Rules: πŸ“š Tokenizer #27 DevFeed: [Stripe's Protodash, DeepMind's Decoupled DiLoCo, and Karpathy's Coding Rules: πŸ“š Tokenizer #27]() Original publisher: [Read original article]() Author: Sairam Sundaresan Published: 2026-05-09T13:31:39Z Content type: article Language: en Sources: [Gradient Ascent]() Topics: [Artificial Intelligence](), [coding](), [stripe](), [Claude Code]() Tags: [agentic](), [ai](), [claude-code](), [coding](), [stripe]() ### AI overview The Tokenizer #27 curates AI resources on inspectable agent workflows, robot foundation models, image-generation rewards, reasoning, browser-game agents, prototyping, enterprise knowledge, AI at work, and coding practices. It also highlights Stripe's Protodash and promotes an AI-powered product-management session using Claude Code. ### Source excerpt This week's most valuable AI Resources ## Inside Claude Code, OpenAI Codex, and HuggingFace's ML Engineer Agent : πŸ“š Tokenizer #26 DevFeed: [Inside Claude Code, OpenAI Codex, and HuggingFace's ML Engineer Agent : πŸ“š Tokenizer #26]() Original publisher: [Read original article]() Author: Sairam Sundaresan Published: 2026-04-30T13:12:59Z Content type: article Language: en Sources: [Gradient Ascent]() Topics: [Claude Code](), [Artificial Intelligence](), [codex](), [Machine learning](), [OpenAI](), [Open Source Models & Datasets](), [Library](), [data]() Tags: [agent](), [ai](), [claude-code](), [codex](), [coding](), [ml](), [multi-agent](), [newsletter](), [openai](), [resources]() ### AI overview This issue of The Tokenizer curates AI and machine-learning resources, including papers on multi-agent organization and iterative reasoning, videos about OpenAI Codex and agent complexity, a source-code walkthrough of Claude Code, tools for coding-agent context and computer control, and Hugging Face's open-source ML engineer agent. ### Source excerpt This week's most valuable AI Resources ## Inside OpenAI's No-Review Codebase, the 98% of Claude Code That Isn't the Model, and BMad's Six-Agent Dev Team - πŸ“š The Tokenizer Edition #25 DevFeed: [Inside OpenAI's No-Review Codebase, the 98% of Claude Code That Isn't the Model, and BMad's Six-Agent Dev Team - πŸ“š The Tokenizer Edition #25]() Original publisher: [Read original article]() Author: Sairam Sundaresan Published: 2026-04-23T12:31:46Z Content type: article Language: en Sources: [Gradient Ascent]() Topics: [Development](), [AI Agent](), [Claude Code](), [Large Language Model]() Tags: [agent](), [ai](), [ai-ml](), [building](), [claude-code](), [code](), [dev](), [engineering](), [github](), [review]() ### AI overview This newsletter edition curates AI and developer resources, highlighting analyses of Claude Code's source structure, OpenAI Frontier's large codebase, multi-agent development workflows, AI evaluation, harness engineering, video models, reinforcement learning, and related tools and learning materials. ### Source excerpt This week's most valuable email resources ## Cursor's Agent-Written CUDA Kernels, Claude Cowork for Non-Engineers, and Stanford's Frontier Systems - πŸ“š The Tokenizer Edition #24 DevFeed: [Cursor's Agent-Written CUDA Kernels, Claude Cowork for Non-Engineers, and Stanford's Frontier Systems - πŸ“š The Tokenizer Edition #24]() Original publisher: [Read original article]() Author: Sairam Sundaresan Published: 2026-04-16T12:03:16Z Content type: article Language: en Sources: [Gradient Ascent]() Topics: [Artificial Intelligence](), [CUDA](), [cursor](), [rlvr](), [multimodal](), [Large Language Model](), [Learning]() Tags: [ai](), [ai-ml](), [claude](), [cuda](), [cursor](), [llm](), [multimodal](), [rlvr](), [tutorial]() ### AI overview The Tokenizer Edition #24 is a curated AI/ML newsletter covering agent-written CUDA kernels at Cursor, RLVR training research, multimodal retrieval resources, AI infrastructure learning, and selected videos, tools, and papers. ### Source excerpt This week's most valuable AI resources ## AI Resource Roundup: Claude Code, Codex, and Coding Agents DevFeed: [AI Resource Roundup: Claude Code, Codex, and Coding Agents]() Original publisher: [Read original article]() Author: Sairam Sundaresan Published: 2026-04-09T12:03:36Z Content type: article Language: en Sources: [Gradient Ascent]() Topics: [Claude Code](), [Artificial Intelligence](), [codex]() Tags: [ai](), [claude-code](), [codex](), [resources]() ### AI overview This newsletter edition curates AI and ML resources about production agents, coding-agent architecture, evaluation benchmarks, RAG pipelines, and model training. It highlights examples involving Claude Code and OpenAI Codex, alongside papers, videos, tools, and a Claude Code walkthrough. ### Source excerpt This week's most valuable AI resources ## Tsinghua's Multi-Agent AI Classroom, Anthropic's Context Engineering Playbook, and a 54 LLM-Architecture Gallery - πŸ“š The Tokenizer Edition #22 DevFeed: [Tsinghua's Multi-Agent AI Classroom, Anthropic's Context Engineering Playbook, and a 54 LLM-Architecture Gallery - πŸ“š The Tokenizer Edition #22]() Original publisher: [Read original article]() Author: Sairam Sundaresan Published: 2026-04-02T23:34:09Z Content type: article Language: en Sources: [Gradient Ascent]() Topics: [Artificial Intelligence](), [anthropic](), [Large Language Model](), [interactive storytelling]() Tags: [ai](), [ai-research](), [anthropic](), [benchmarks](), [claude-code](), [gallery](), [llm]() ### AI overview The Tokenizer Edition #22 curates AI and machine learning resources, including papers on real-time video generation, video world models, and task-aware sampling; videos on LLM architectures, KV-cache compression, and Claude Code; articles on AI interfaces, benchmarks, and context management; agent tools; and learning resources such as Tsinghua's multi-agent AI classroom. ### Source excerpt This week's most valuable AI resources ## Google Compresses KV-Cache 6x Without Training, How Every Modern Attention Variant Works, and a Claude Code Cheat Sheet - πŸ“š The Tokenizer Edition #21 DevFeed: [Google Compresses KV-Cache 6x Without Training, How Every Modern Attention Variant Works, and a Claude Code Cheat Sheet - πŸ“š The Tokenizer Edition #21]() Original publisher: [Read original article]() Author: Sairam Sundaresan Published: 2026-03-26T12:02:32Z Content type: article Language: en Sources: [Gradient Ascent]() Topics: [Compression](), [Google](), [Claude Code](), [Artificial Intelligence]() Tags: [ai-ml](), [cheat-sheet](), [claude-code](), [compression](), [google]() ### AI overview The Tokenizer Edition #21 is a curated roundup of AI and machine-learning resources focused on speed and efficiency. It highlights diffusion-based OCR, AI-agent skills, speculative execution, Google's training-free KV-cache compression using polar coordinates, on-device AI architectures, Claude Code resources, and related tools and learning materials. ### Source excerpt This week's most valuable AI resources ## Claude Code Best Practices, Planning in 8 Tokens, and Why Reasoning Models Can't Control Their Own Thoughts - πŸ“š The Tokenizer Edition #20 DevFeed: [Claude Code Best Practices, Planning in 8 Tokens, and Why Reasoning Models Can't Control Their Own Thoughts - πŸ“š The Tokenizer Edition #20]() Original publisher: [Read original article]() Author: Sairam Sundaresan Published: 2026-03-18T13:03:02Z Content type: article Language: en Sources: [Gradient Ascent]() Topics: [Claude Code](), [Artificial Intelligence](), [Chain-of-thought]() Tags: [ai-ml](), [chain-of-thought](), [claude-code](), [newsletter](), [reasoning]() ### AI overview A newsletter edition curating AI and machine-learning resources, including Claude Code design workflows, reasoning-model research, retrieval systems, training efficiency, vision-language models, and developer tools. ### Source excerpt This week's most valuable resources ## Karpathy's Autonomous ML Lab, Sleeper Cells in LLMs, and Andrew Ng's Context Hub - πŸ“š The Tokenizer Edition #19 DevFeed: [Karpathy's Autonomous ML Lab, Sleeper Cells in LLMs, and Andrew Ng's Context Hub - πŸ“š The Tokenizer Edition #19]() Original publisher: [Read original article]() Author: Sairam Sundaresan Published: 2026-03-11T12:03:21Z Content type: article Language: en Sources: [Gradient Ascent]() Topics: [Artificial Intelligence](), [LLMs](), [Security](), [AI research agents](), [Graphs](), [long-context]() Tags: [ai](), [ai-agents](), [ai-ml](), [benchmarks](), [long-context](), [reasoning](), [security]() ### AI overview The Tokenizer newsletter curates AI and machine learning resources covering autonomous ML experiments, reasoning graphs, temporal backdoors in tool-using LLMs, spatial reasoning benchmarks, long-context inference costs, open-weight models, and developer tools. ### Source excerpt This week's most valuable AI resources ## Karpathy's microGPT, Jeff Dean's Pareto Frontier, and the LLM Course - πŸ“š The Tokenizer Edition #18 DevFeed: [Karpathy's microGPT, Jeff Dean's Pareto Frontier, and the LLM Course - πŸ“š The Tokenizer Edition #18]() Original publisher: [Read original article]() Author: Sairam Sundaresan Published: 2026-02-19T13:34:15Z Content type: article Language: en Sources: [Gradient Ascent]() Topics: [Large Language Model](), [agentic-coding](), [LLM evaluation / benchmarking](), [Claude](), [dev-tools](), [Learning]() Tags: [agentic-coding](), [ai](), [benchmarking](), [benchmarks](), [claude](), [code](), [dev-tools](), [llm]() ### AI overview A curated AI newsletter highlights research, videos, tools, and learning resources. It discusses the gap between agent performance on bug fixes and complex feature development, task handoff versus authority transfer, Jeff Dean's Pareto frontier, and Karpathy's 243-line dependency-free microGPT. ### Source excerpt This week's most valuable AI resources