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Rewriting Bun in Rust
Rewriting Bun in Rust Jarred Sumner has been promising this blog post ( since May 9th ) about his Zig to Rust rewrite of Bun for significantly longer than it took him to finish the rewrite. Honestly, it was worth the wait. This is a detailed description of an extremely sophisticated piece of agentic engineering, featuring dynamic workflows, trial runs, adversarial review and all sorts of other interesting tricks. Jarred spends the first half of the post praising Zig for getting Bun this far. Then we get to a core idea in the piece, emphasis mine: Our bugfix list felt bad and I was tired of going to sleep worrying about crashes in Bun. I don't blame Zig for that - other users of Zig don't have the bugs we had, and mixing GC with manually-managed memory is an uncommon enough thing for software to need that no language really designs for it. We wouldn't have gotten this far if not for Zig, and I'll always be grateful. Until very recently, programming language choice was a one-way decision for a project like Bun. Everyone knows you should never stop the world and rewrite a large piece of software from the ground up. Joel Spolsky highlighted that in Things You Should Never Do, Part I back in April 2000! Coding agents powered by today's frontier models change that equation. Why pick Rust? It all came down to those challenges with memory management: A large percentage of bugs from that list are use-after-free, double-free, and "forgot to free" in an error path. In safe Rust, these are compiler errors and RAII-like automatic cleanup with Drop . A crucial enabling factor for the rewrite was that the Bun test suite was written in TypeScript, which meant it could act as a conformance suite . This allowed an agent harness to automate much of the initial port from Bun to Rust, initially as an experiment to try out an earlier version of the model we now have access to as Mythos/Fable. At first, I didn't expect it to work. A few days in, a high % of the test suite started passing
Why AI Infrastructure must evolve for Agent Experience — Akshat Bubna, Modal CTO
2 years after our first coverage, we return with Modal's other cofounder to explore why Agent Experience is working now, and everything they have learned building the new agent cloud.
Our approach to government and national security partnerships
Learn how OpenAI approaches government and national security partnerships, with principles for responsible AI use, democratic accountability, and public safety.
Microsoft joins AI cost-cutting trend by relying more on its own models
Microsoft is the latest Silicon Valley giant to cut back on its AI spending.
The foundational elements of AI architecture that IT leaders need to scale
With the rapid progress of AI capabilities and the move to agentic systems, organizations are expanding their use cases as the technology continues to grow. That constant evolution also introduces risk, leaving IT leaders to wonder which investments will prove valuable even six months into the future. Returning to the foundational elements of AI architecture—the…
The ‘first’ AI-run ransomware attack still needed a human
An AI agent carried out the technical execution of a real-world ransomware attack for the first known time, but new details show a human still chose the victim, set up the infrastructure, and supplied stolen credentials — meaning it wasn't quite the fully autonomous cybercrime debut that last week's headlines suggested.
Vercel CEO Guillermo Rauch on the fight to split off models from agents
"The reality is, when you're optimizing for production, you start looking at a price/performance," Guillermo Rauch tells TechCrunch.
Your family’s $300 stake in OpenAI
This story originally appeared in The Algorithm, our weekly newsletter on AI. To get stories like this in your inbox first, sign up here. OpenAI CEO Sam Altman’s oft-discussed promise that Americans will share in the wealth AI creates was in the news again last week. On Thursday, the Financial Times reported that Altman is in…
If you use Google, you’re training its AI. Here’s how to opt out.
PSA: A change to Google's privacy settings let it train its AI on more of your data. Here's how to opt out.
Secret Claude tracker shocks users after Anthropic’s anti-surveillance stance
Anthropic accused of spying on users; engineer says “experiment” is over.
PRX Part 4: Our Data Strategy
Reddit is using LLMs to solve a problem LLMs largely created
In the AI era, platforms have no choice but to fight fire with fire to cull spam.
Some of the nation’s rich are letting AI teach their kids
Most Americans don't trust AI. It's proven that it doesn't know what safe toppings for pizza are. People don't even want to listen to AI music. But none of that matters for some of America's wealthy, who are turning to AI to teach their kids instead of traditional schools. Companies like Forge Prep and Alpha School are charging families tens of thousands of dollars to turn their kids into beta testers for AI tutors and "interactive project-based workshops." Unsurprisingly, Silicon Valley have been major adopters of this new model. Shaun Johnson, a San Francisco-based venture capitalist, told the Wall Street Journal that he plans to send his … Read the full story at The Verge.
Infuriating Google commercial imagines the founding fathers embracing AI
I call BS: the founding fathers definitely would have been Microsoft Teams users. | Image: Google "Group project, but make it 1776." That's how a new commercial for Google Workspace opens. And things only get cringier from there. The clip imagines what it would be like if the founding fathers turned to Google's collaboration tools and Gemini to help them draft the Declaration of Independence. Ben Franklin texts Thomas Jefferson to check on the status of a draft, who takes a photo and uses AI to transcribe it into a Google Doc. Franklin and Adams hop in to make edits in suggestion mode, Gemini finds them a meeting time, takes notes during a Google Meet call, and then Nano Banana whips up a seal for the United States featuring a turkey ( … Read the full story at The Verge.
Better Models: Worse Tools
Better Models: Worse Tools Armin reports on a weird problem he ran into while hacking on Pi: The short version is that newer Claude models sometimes call Pi’s edit tool with extra, invented fields in the nested edits[] array. And not Haiku or some small model: Opus 4.8. The edit itself is usually correct but the arguments do not match the schema as the model invents made-up keys and Pi thus rejects the tool call and asks to try again. That alone is not too surprising as models emit malformed tool calls sometimes. Particularly small ones. What surprised me is that this is getting worse with newer Anthropic models as both Opus 4.8 and Sonnet 5 show it but none of the older models. In other words, the SOTA models of the family are worse at this specific tool schema than their older siblings. Armin theorizes that this is because more recent Anthropic models have been specifically trained (presumably via Reinforcement Learning) to better use the edit tools that are baked into Claude Code. This has the unfortunate effect that other coding harnesses, such as Pi, may find that their own custom edit tools are more likely to be used incorrectly. Claude's edit tool uses search and replace . OpenAI's Codex uses an apply_patch mechanism instead , and OpenAI have talked in the past about how their models are trained to use that tool effectively. Does this mean third-party coding harnesses like Pi should implement multiple edit tools just so they can use the one with the best performance for the underlying model the user has selected? Tags: armin-ronacher , ai , openai , generative-ai , llms , anthropic , llm-tool-use , coding-agents , pi
New Google commercial imagines a Declaration of Independence written with help from AI
Two hundred and fifty years after the signing of the Declaration of Independence, a new commercial asks: What if the Founding Fathers had access to Google Workspace?
Midjourney wants Hollywood studios to reveal the details of their AI usage
As part of an ongoing legal dispute with three Hollywood studios, Midjourney is seeking to compel those studios to reveal how they use AI themselves.
Alibaba reportedly bans employees from using Claude Code
Alibaba has reportedly classified Claude Code as high-risk software.
The fanfiction community is at war with AI — and itself
Fanfiction communities are trying to hunt down writers who haven’t written works with their own hands. | Image: Álvaro Bernis / The Verge Over the past week, a new fanworks movement has kicked off, with the aim to root out authors using generative AI. But the detection methods being implemented are questionable, and any fanfic writer could be caught in the crossfire. Broad distaste around the use of Claude, ChatGPT, and other AI tools has long been a thing in creative communities, including the world of fanfiction. Readers and writers have passed around tips for spotting supposedly AI-generated works, citing anything from em dashes to the broad concept of purple prose. But on June 29th, an anonymous X account called @heatedrivalryai promised a seemingly more reliable solution … Read the full story at The Verge.
Quoting Josh W. Comeau
I just launched my third course, Whimsical Animations, and so far, it’s on track to sell roughly ⅓ as many copies as a typical course launch. It’s a similar story with my two existing courses. Sales are down significantly from last year. There are likely a lot of reasons for this, but I think the biggest is AI. There’s sort of a double whammy with AI: Many people are wondering whether developer jobs will even exist in a few months, so they’re reluctant to spend time/money learning new dev skills. Even if they do want to learn new dev skills, LLMs can provide personalized tutoring, so there’s less incentive to buy a paid course. [...] I’ve spoken to a few course creators now, and we’re all seeing the same trend. Revenue down 50%+. Fewer people engaging with our content. People switching to LLMs, which slurp up all of our work and regurgitate it, without consent or compensation. — Josh W. Comeau , via Salma Alam-Naylor Tags: ai-ethics , llms , ai , generative-ai , careers , josh-comeau