Jon McLaren (@[email protected]) retweeted
Let's talk a little more about Margaret Hamilton because she deserves it
In 1961, Margaret Hamilton was tackling massive systems, having previously wrangled room-sized computers that blared like a foghorn whenever they crashed.
Her fix wasn’t just to patch the bug. Everytime there was a crash, she took a Polaroid of the programmer who wrote it, and a note on the mistake. That way, if it ever happened again, they wouldn't be starting from scratch. They could note patterns and the last person who triaged that failure could help.
This is a critical aspect of what she gave us. She didn’t stop at fixing errors. She studied their patterns so she could see them coming. She called them “the enemy,” and she meant it.
Initially, when she was working on failure modes, higher-ups were errors wouldn't happen she actually named her program “Forget It.” But failures did happen. And her mindset, and discipline sent men to the Moon.
Her Apollo software was built to expect the unexpected, and on Apollo 11 it recognized an overload mid-landing and kept the critical tasks running.
Every postmortem, every bug tracker, every “let’s make sure this never happens again” carries a little of her in it.
Thank you, and rest in peace, Margaret Hamilton 🚀
Jon McLaren (@[email protected]) retweeted
Reading the comments of junior mathematicians confirms what many senior mathematicians have been warning about over the past month:
It is becoming clear that people with the intellectual ability to understand these proofs will not be interested in spending their lives training to check LLM logs.
This is the tragic side of what is happening that almost no one — except the actual mathematicians — seems to get.
Either we figure out how to keep people interested in doing mathematics, or in 20 years LLMs will have no one’s work left to recombine into new proofs, and no one interested in reading those proofs.
That would be the thermal death of mathematics.
The argument that “LLMs will read LLM math” is so shortsighted that it makes me want to cry…
Jon McLaren (@[email protected]) retweeted
You've built a HubSpot app. Now let's take it further.
The Advanced CRM Customization Bootcamp for Developers is a free, 6-week, build-along program for developers already shipping on the HubSpot Developer Platform.
👉 Registration is now open: hubs.la/Q04y4_zN0
Jon McLaren (@[email protected]) retweeted
The Builder Bar is open all day, every day at UNBOUND 🛠️
Unblocked in the mornings — questions for the product team.
Unleashed in the afternoon — five challenges, five charms, a keychain.
Unwind with conversation at the end of the day.
Today: 8am / 12pm / 4pm
Jon McLaren (@[email protected]) retweeted
Partner Day kicks off UNBOUND today 🎉
HubSpot’s Open Platform Vision for the Agent Era will be presented on Wednesday afternoon → hubs.la/Q04xvFpb0
Everything announced at Spotlight lands on one page
built for developers and builders.
Live tomorrow 👀
Jon McLaren (@[email protected]) retweeted
BREAKING: OpenAI might have stolen another major proof.
In a detailed Mastodon post, which I report in full in the comments, Andreas Thom presents several pieces of evidence suggesting that OpenAI may have trained Astra on conversations in which he and Gábor Kun were working on Gromov’s soficity conjecture, one of the ten problems OpenAI later announced Astra had solved.
I know Andreas. We met several times early in our careers. He is an exceptional mathematician, a leading expert on sofic and hyperlinear groups, and one of the most respected scholars in the field. He has spent two decades working on this problem.
If his account is correct, this is not a minor dispute over attribution. It would mean that unpublished human work was absorbed into a model and then presented to the world as a breakthrough by the model itself.
And if the allegations raised by Levent Alpöge, Tristan Buckmaster, and now Andreas Thom are all substantiated, we are no longer looking at isolated incidents.
We may be looking at one of the greatest intellectual scandals in the history of science.
AI is not discovering new mathematics.
AI is stealing human discovery.
Jon McLaren (@[email protected]) retweeted
Replying to @rauchg
You might find this interesting -
We created the first WebMCP benchmark, comparing it with computer use and DOM-based methods across speed, cost, task success rate, and token usage. The results are incredible.
webmcp.com/benchmark
You’re getting 3-5x speed, and an order of magnitude cost improvement (up to 23x lower costs) while being 10-15% better at solving tasks compared to other methods
Jon McLaren (@[email protected]) retweeted
I stand by my private leaked DM
I'll be taking no further questions
there is no growth signal stronger than a ceo with an anime pfp @samlambert
Jon McLaren (@[email protected]) retweeted
Help choose the winner of the Building with AI mini-hackathon!
🗳️ How to vote:
👉 Head to the results page here: hubs.la/Q04vCPb_0
▶️ Watch all 4 videos (2:30 - 3 mins each)
🍽️ Choose your main course
Jon McLaren (@[email protected]) retweeted
Q: Which would use fewer credits: two prompts with Opus or ten prompts with Sonnet?
A: In general, the first 1-2 prompts consume less tokens. Make sure your first prompt is concise and specific.
Jon McLaren (@[email protected]) retweeted
How do you build? 👀 Join Nikita Jotwani and Jennifer Nixon at UNBOUND to discover your building style and meet someone who does it differently.
This is an interactive experience for anyone building - - or learning to build - - in the HubSpot ecosystem.
Jon McLaren (@[email protected]) retweeted
Heading to Boston for UNBOUND 2026? Meet us at the Builder Bar 🛠️
It’s open all day, every day — it's the go-to spot if you're customizing your HubSpot setup.
👇 Check out our ecosystem guide for can't-miss sessions, meetups, and more!
bit.ly/4fRjq7r
Jon McLaren (@[email protected]) retweeted
We just published a guide to skills files your agent knows when to use.
Brooke Bond and Jon McLaren on what makes a good skill candidate, why modular beats monolithic and how skills work alongside MCP servers.
👉 bit.ly/3UufXmU
Jon McLaren (@[email protected]) retweeted
Dev Platform Playground on June 3 goes hands-on with what launched for Spring 2026 Spotlight.
Keynote from Director of Product for the Developer Product Group
+ 3 workshops: App Pages with UIE, Serverless Functions, AI + MCP dev.
Save your seat → bit.ly/3Pnd8Sv
Jon McLaren (@[email protected]) retweeted
✨ NOW LIVE: The @HubSpot Developer Platform—your unified foundation for building smarter, faster and intelligent apps.
This reimagined developer experience makes it easier to create apps that grow with you and evolve with the HubSpot ecosystem.
📖 bit.ly/47C4tT8
Jon McLaren (@[email protected]) retweeted
Replying to @HubSpotDev @HubSpot
👉 Ready to start building? hsdev.fyi/developers-homepag…
Jon McLaren (@[email protected]) retweeted
🤔 What does it take to build a developer platform and marketplace at AI speed?
Go Behind the Scenes with Laurie Qian and Jacqui Malis Becker on how we’re shaping the next phase of growth for developers and partners.
📽️ Watch the full video: bit.ly/46z3j9N
Jon McLaren (@[email protected]) retweeted
Ryan sits down with Karen Ng, EVP of Product at @HubSpot, to chat about Model Context Protocol (MCP) and how her team implemented it for their server for their CRM product, the challenges of implementing the server with their ecosystem, and how agentic AI's impact on day to day work of technical teams.
stackoverflow.blog/2025/09/1…
Jon McLaren (@[email protected]) retweeted
Here’s a radical idea:
























