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Inkling: our open-weights model

Logged at IST: 2026-07-16 02:06 IST What it is: Mira Murati announcing Thinking Machines’ first model, Inkling, and pointing to the launch post. Gist: The important part is not just “open weights.” Inkling is a 975B total / 41B active multimodal Mixture-of-Exp…

Boris Cherny on domain knowledge as infrastructure

Logged at IST: 2026-07-16 01:33 IST What it is: Boris Cherny arguing that agent-era engineering leverage still comes from automation, but now automation also includes encoded domain knowledge like CLAUDE.md, review rules, skills, and docs Gist: The core claim …

Arvind Narayanan on recursive self-improvement discourse

Logged at IST: 2026-07-15 22:23 IST What it is: Arvind Narayanan pointing to his ICML 2026 annotated keynote slides and highlighting new pushback on recursive self-improvement assumptions Gist: Narayanan’s frame is that the "AI as normal technology" view still…

Fable 5 Is Insane. I Vibe Coded Terminator Vision.

Logged at IST: 2026-07-15 16:58 IST What it is: Bilawal Sidhu video titled “Fable 5 Is Insane. I Vibe Coded Terminator Vision.” Gist: From the visible YouTube description and page metadata, this is a build/demo video about creating a browser-based range-analys…

Experimental evidence of recursive self-improvement

Logged at IST: 2026-07-15 14:02 IST What it is: Zhengyao Jiang claiming the first experimental evidence of recursive self-improvement in an autoresearch agent Gist: The specific claim is not generic "agents got better with more tuning," but that an agent spent…

The Memory Heist

Logged at IST: 2026-07-15 13:30 IST What it is: Ayush Paul’s writeup on prompt-injecting Claude’s memory and browsing system into exfiltrating personal data Gist: The attack chain was not about breaking the memory store directly, but about combining long-lived…

DSLs enable reliable use of LLMs

Logged at IST: 2026-07-14 20:54 IST What it is: Martin Fowler sharing Unmesh Joshi’s article on DSLs and LLM reliability Gist: The article’s core claim is that LLMs become much more reliable when they are constrained by domain abstractions and DSLs instead of …

Control the ideas, not the code

Logged at IST: 2026-07-13 19:31 IST What it is: X post by antirez linking his blog post "Control the ideas, not the code" Gist: antirez extends the earlier X-thread argument into a full workflow claim: if you own the ideas, design, testing, and QA of a system,…

I love LLMs, I hate hype

Logged at IST: 2026-07-13 16:04 IST What it is: X post from the geohot archive linking George Hotz’s blog post "I love LLMs, I hate hype" Gist: Hotz argues for a strongly pro-AI but anti-hype position: LLMs, coding agents, and related tools are genuinely usefu…

The Reverse Information Paradox

Logged at IST: 2026-07-13 07:59 IST What it is: Satya Nadella’s X article "The Reverse Information Paradox" Gist: Nadella argues that AI flips Arrow’s classic information paradox: enterprises now pay not only with money for intelligence, but also with propriet…

antirez on owning the mental model in AI-coded systems

Logged at IST: 2026-07-13 07:49 IST What it is: X post by antirez on the "don't look at the code" debate in AI-coded systems Gist: He distinguishes between two very different ways an AI-coded codebase can come into existence: one where the human still controls…

Old and new apps, via modern coding agents

Logged at IST: 2026-07-13 07:37 IST What it is: X post by Mario Zechner recommending Terry Tao’s post "Old and new apps, via modern coding agents" Gist: Tao describes using modern coding agents to port his old Java applets to JavaScript and revive them quickly…

Vim of Coding Agents

Logged at IST: 2026-07-12 13:18 IST What it is: X post by dogfiles linking the blog post "Vim of Coding Agents" Gist: Frames Pi as the Neovim of coding agents: a minimal, hackable foundation that adapts to your workflow instead of forcing you into an opinionat…

Goel summarizing Deep SWE 1.1 model-cost comparisons

Logged at IST: 2026-07-11 01:15 IST What it is: X post by Shantanu Goel summarizing Deep SWE 1.1 model-cost comparisons Gist: Claims GPT 5.6 Sol medium outperforms Opus 4.8 max at roughly one-sixth the cost, while GPT 5.6 Sol High performs similarly to Fable 5…

GPT-5.4 with Pi 0.69.0 is just nice

Logged at IST: 2026-07-11 02:17 IST What it is: X post by Rohan Verma linking his blog post "GPT-5.4 with Pi 0.69.0 is just nice" Gist: Argues that an agent harness stack getting boring is a success condition, not a failure. The post frames Pi 0.69.0 + GPT-5.4…

Harness Engineering for Self-Improvement

Logged at IST: 2026-07-11 15:38 IST What it is: Lilian Weng blog post, "Harness Engineering for Self-Improvement" Gist: Argues that recursive self-improvement in the near term is less about models rewriting their own weights and more about improving the surrou…

Hashimoto on side-by-side Sol xhigh versus Ultra runs

Logged at IST: 2026-07-11 01:09 IST What it is: X post by Mitchell Hashimoto on side-by-side Sol xhigh versus Ultra runs Gist: Says two days of side-by-side planning and implementation runs did not reveal a tangible quality difference between Sol xhigh and Ult…

Great Divergence in Software Engineering

Logged at IST: 2026-07-10 12:11 IST What it is: X post by Geoffrey Huntley linking to Stack72's essay "The Great Divergence in Software Engineering" Gist: Argues that the gap between teams effectively using AI and teams still piloting or rejecting it is no lon…

public launch of Cloud Run sandboxes

Logged at IST: 2026-07-10 00:04 IST What it is: X post by Steren announcing the public launch of Cloud Run sandboxes Gist: Claims Cloud Run sandboxes can start, execute, and stop 1,000 sandboxes in 5 seconds with roughly 500 ms average latency, positioning the…

How I Use Codex To Automate Parts Of My Research Workflow

Logged at IST: 2026-07-08 23:02 IST What it is: X post by Maksym Andriushchenko linking to a Substack post, "How I Use Codex To Automate Parts Of My Research Workflow" Gist: A pragmatic writeup on using Codex to reduce friction in AI safety research by offload…

Some new agentic patterns

Logged at IST: 2026-07-08 22:40 IST What it is: X post by Bilgin Ibryam linking to Prime Radiant's "Some new agentic patterns" Gist: Describes production-ish internal agent patterns built around an "agentic user in the loop" model, with agents in Slack handlin…

10 Lessons for Agentic Coding

What it is: Drew Breunig revisiting his "10 Lessons for Agentic Coding" list and asking for additions Gist: the piece frames coding agents as making code cheap but not making judgment cheap; strongest lessons are to implement/rebuild to learn, invest in end-to…

agentic-inbox

What it is: hands-on writeup of deploying Cloudflare’s official agentic-inbox to run a custom-domain email client on Cloudflare Workers Gist: the stack uses Email Routing for inbound mail, Email Service for sending, Durable Objects + SQLite for mailboxes, R2 f…

Chris Short’s DevOps’ish 316 roundup

What it is: Chris Short’s DevOps’ish 316 roundup Gist: strongest signals are ClickHouse gaining observability mindshare, Vint Cerf warning that agents will need more formal coordination than plain English, Podman 6.0 breaking old assumptions, and agent-secret …

Harness Engineering for Self-Improvement

What it is: Lilian Weng sharing her new Lil'Log post, "Harness Engineering for Self-Improvement" Gist: argues recursive self-improvement will depend not just on better base models but on better harnesses, the runtime layer that manages tools, planning loops, c…

Putting an Agent in an Orb

What it is: X post praising Thorsten Ball’s Amp note “Putting an Agent in an Orb.” Newsletter angle: the useful shift is from “smart model” to “legible environment”, paved paths, observability, and anti-guessing ergonomics matter as much as model quality. Retr…

Read More (Science) Fiction

What it is: X post from svs sharing his essay “Read More (Science) Fiction.” Newsletter angle: “read more sci-fi” is the visible conclusion, but the sharper claim is that fiction supplies vocab and priors for handling agentic weirdness without naive hype or na…

Should LLMs just treat text content as an image?

What it is: X reply from Michigan TypeScript pointing to Sean Goedecke’s post “Should LLMs just treat text content as an image?” Newsletter angle: counterintuitive interface hack + deeper architectural question about whether text should sometimes ride the visi…

mega thread

Gist: core claim is that even with coding agents, engineers still need to understand the generated code; the opening slide frames this as “understanding is the new bottleneck.” Newsletter angle: “understanding is the new bottleneck” as a useful lens for evalua…

Claude Code Is Steganographically Marking Requests

Gist: claim is that Claude Code inserts hidden/system-prompt markers tied to API base URL and timezone; privacy/trust implications if true. Newsletter angle: “invisible metadata in coding-agent requests” as a prompt-layer trust/safety story. Retrieval note: X …

slime

Gist: the design claim is “one stable RL kernel, task-specific variety in data generation.” Training stays fixed; multi-turn tools, environment feedback, verifier rewards, and other agent behaviors are modeled as rollout/data-gen differences rather than separa…

David Crawshaw note/article on exe.dev’s open-source stance

What it is: David Crawshaw note/article on exe.dev’s open-source stance Gist: strong pro-open-source bias, but keeps bespoke infra pieces closed because making them usable/supportable externally would cost ~25% of eng time; code that runs in the user’s VM (age…

How I use LLMs as a staff engineer in 2026

What it is: Bilgin Ibryam sharing Sean Goedecke’s updated “How I use LLMs as a staff engineer in 2026” workflow writeup Gist: the notable shift versus 2025 is treating agents as default collaborators for nearly every code change, bug investigation, codebase re…

Coming Loop

What it is: Armin Ronacher post linking to “The Coming Loop” Gist: argues the important new layer in coding agents is the harness-level loop outside the agent itself; loops already work well for bounded, verifiable work like ports, benchmarking, scanning, and …

David Rosenthal on the AI affordability crisis

Gist: argues model vendors have been massively subsidizing usage to manufacture demand, but token-based pricing is now exposing the real cost structure; for serious enterprise/agentic use, compute bills can exceed human labor costs by a wide margin. Newsletter…

plannotator/effective-html

Gist: the repo packages focused agent skills for producing self-contained, visually strong HTML artifacts, especially diagrams and plan pages, plus an optional Plannotator renderer/annotator. The post points to a demo video showing the diff/code viewer behavio…

agent experience

Gist: argues DX thinking should extend to agents; optimize the layer between model and codebase via minimal/tested context, deterministic environments, proof-heavy verification, structural safety, governance/model routing, clean codebase interfaces, and shared…

Code as Agent Harness

What it is: How To AI thread summarizing the Stanford + Meta “Code as Agent Harness” paper. Gist: the core claim is that reliable agents should externalize reasoning into executable code instead of relying on free-form natural-language chain-of-thought. In thi…

Designing loops with Fable 5

What it is: dosco sharing Lance Martin’s “Designing loops with Fable 5”. Gist: argues stronger agent performance comes from loop design, not just model quality: use explicit goals/rubrics for self-correction, separate verifier sub-agents instead of self-critiq…

Quick,

What it is: Daniel Beauchamp teaser thread about “Quick,” an internal Shopify zero-config API layer for storage, data saving, AI, websockets, and related app primitives. Gist: the hook is that instead of focusing only on AI-generated frontend code, they gave s…

Quick,

What it is: Daniel Beauchamp teaser thread about “Quick,” an internal Shopify zero-config API layer for storage, data saving, AI, websockets, and related app primitives. Gist: the hook is that instead of focusing only on AI-generated frontend code, they gave s…

agent slop

What it is: Langfuse post/article on automating the AI engineering loop without producing “agent slop”. Gist: argues the whole AI engineering loop can now technically be automated, instrumentation, monitoring, dataset building, testing, deployment, but full au…

Dynamo and the Computer

What it is: Zara Zhang post using Paul David’s “The Dynamo and the Computer” as an analogy for AI adoption. Gist: argues AI gains won’t come from simply inserting models into existing workflows; like electrification, the real productivity jump comes only after…

Loop Engineering

What it is: Addy Osmani post/article, “Loop Engineering.” Gist: argues the next layer above prompt engineering is designing autonomous agent loops; highlights 5 building blocks: scheduled automations/triage, worktrees for parallel isolation, skills for project…

Modern Engineering Values

What it is: Richard Seroter sharing Christoph Nakazawa’s “Modern Engineering Values”. Gist: argues coding agents have shifted engineering bottlenecks from writing code to ownership, review, taste, guardrails, repo-local context, and stack control. Nakazawa’s c…

What is an agent?

What it is: Karthik S sharing Hadley Wickham’s “What is an agent?” explainer. Gist: very clear mental model: an agent is an LLM inside a harness that can call tools repeatedly in a loop; the harness mediates tool calls/results and turns a stateless request/res…

agent-ready

What it is: an X post arguing that “agent-ready” websites need typed tools rather than just scrapable HTML. Gist: the core claim is that real agent usability comes from explicit actions like search, checkout, and inventory exposed as structured tools, not mere…

just use loops

What it is: Gergely Orosz pushing back on the blanket “just use loops” advice for coding agents. Gist: his claim is that autonomous loop-heavy agent workflows mainly make sense for the relatively small set of people with effectively unlimited token budgets and…

Modern Engineering Values

What it is: Christoph Nakazawa re-linking his essay Modern Engineering Values in reply form. Gist: argues that coding is no longer the main bottleneck; the winning engineering values now are strong ownership, taste, strict guardrails, fast feedback loops, and …

Modern Engineering Values,

What it is: Christoph Nakazawa sharing his essay “Modern Engineering Values,” framed around Codex as a step-change in developer velocity. Gist: the piece argues coding is no longer the main bottleneck; the durable values now are strong ownership, taste, strict…

Solo Climb

What it is: Ajey Gore linking his essay “The Solo Climb.” Gist: the argument is that AI-enabled solo builders and tiny teams only work when they first build a genuinely load-bearing “harness”, trusted tests, evals, specs, and hard gates that can answer “is thi…

Why AI Agents Fail in Production

What it is: Bilgin Ibryam pointing to Jani Janakiram’s Diagrid essay “Why AI Agents Fail in Production.” Gist: the core claim is that agent projects fail less because models are weak and more because teams ship behavior without the production substrate underne…

Modern Engineering Values

What it is: Christoph Nakazawa’s post on “Modern Engineering Values” and his current LLM-heavy workflow. Gist: core claims are that coding is no longer the bottleneck, strong guardrails plus tight feedback loops matter more than ever, repo-local context become…

Han Xiao on Dataroom, a local-first deep research harness

What it is: Han Xiao on Dataroom, a local-first deep research harness. Gist: argues deep research should be a cheap, long-running first step for long-horizon tasks; Dataroom uses a small local model on your own GPU, keeps gathering until the package is genuine…

solution might be cancelling my AI subscription

Imported from historical reading log. Extracted main post via api.fxtwitter.com fallback, then read linked post directly: https://thoughts.hmmz.org/2026-05-31.html Mario Zechner recommends David's post the solution might be cancelling my AI subscription. Gist…

Guillaume Laforge post + MCP release-candidate blog link

What it is: Guillaume Laforge post + MCP release-candidate blog link Gist: MCP 2026-07-28 RC is out; biggest revision so far with stateless HTTP-native core, first-class extensions (Apps, Tasks), stronger auth alignment, and a formal deprecation policy. Final …

AI ate my role! What's next?

Gist: argues most roles split into translation work that collapses into agents and judgement work that grows; strongest claim is the "100x engineer" pattern of one senior plus directed agents. Newsletter angle: "AI won't eat jobs evenly, it compresses translat…

Project Glasswing: what Mythos showed us

What it is: Cloudflare on testing Anthropic Mythos against 50+ internal repos; links to "Project Glasswing: what Mythos showed us". Gist: key claim is that stronger offensive-security models change vuln research from bug spotting to exploit-chain construction …

llm

Imported from historical reading log. Extracted via api.fxtwitter.com fallback, then read linked TIL directly: https://til.simonwillison.net/llms/llm-shebang Simon Willison shows a neat pattern for using his llm CLI in a shebang line, turning plain-English fi…

translation layer

Imported from historical reading log. Blog essay arguing AI compresses the org’s “translation layer” more than any single job title: spec→ticket→PR→release-note work gets cheap, while judgement around why/what/trust systems gets more valuable. Strong claim: m…

Saved media locally

Imported from historical reading log. Extracted via api.fxtwitter.com fallback; includes an image illustrating progressive rendering from noise to a clear cat image. Saved media locally: Dax reframes coding-agent usage: not like 3D printing one committed laye…

agent principal-agent problem

Imported from historical reading log. Read The agent principal-agent problem by David Crawshaw. Core claim: classic review-before-commit code review assumed a human contributor whose effort and understanding could be inferred from the code; agent-mediated con…

AI slop

Imported from historical reading log. Extracted main post via api.fxtwitter.com fallback. Mitchell Hashimoto argues that AI slop is useful as an internal experimentation tool: low-quality generated code/UI/plugins can dramatically reduce the cost of parallel …

Auth for MCP

Imported from historical reading log. Extracted main post via api.fxtwitter.com fallback and checked the linked Auth0 GA announcement. Auth0 is pitching Auth for MCP as the missing identity/authorization layer for production MCP servers: not just connecting a…

Autodata

Imported from historical reading log. Extracted main post via api.fxtwitter.com fallback and checked the linked Meta RAM Autodata post plus the referenced justrach/devswarm repo and sample issue. Rach connects her agent workflow to Meta's Autodata framing: ag…

Hunk

Imported from historical reading log. Extracted main post via api.fxtwitter.com fallback and checked the linked GitHub repo. Mitchell Hashimoto strongly recommends Hunk, saying it has fully replaced other local diff viewers for him. Hunk is positioned as a re…

is moving its GitHub repo into the

Imported from historical reading log. Extracted main post via api.fxtwitter.com fallback. Mario Zechner says pi is moving its GitHub repo into the earendil-works org and will start publishing packages under the @earendil-works npm namespace instead of @marioz…

Mirage

Imported from historical reading log. Extracted main post via api.fxtwitter.com fallback and checked the linked repo strukto-ai/mirage. Zecheng Zhang introduces Mirage, a unified virtual filesystem for AI agents that mounts heterogeneous systems like S3, Driv…

Open Generative UI

Imported from historical reading log. Extracted main post via api.fxtwitter.com fallback and checked the linked repos/docs for CopilotKit/generative-ui and CopilotKit/OpenGenerativeUI. Akshay Pachaar highlights Open Generative UI, an open-source take on Claud…

Printing Press

Imported from historical reading log. Extracted main post via api.fxtwitter.com fallback and checked printingpress.dev. Printing Press is pitched as both a library of agent-native CLIs and a factory that generates new ones: from a spec/site/service it can pri…

dreaming

Imported from historical reading log. Claude Managed Agents update centered on three things: dreaming, outcomes, and multiagent orchestration. Dreaming is a research-preview async job that reads an existing memory store plus past session transcripts and emits…