University of Illinois Chicago A11y Engineering - “Outcomes, not egos!”

ORD / MSY / BDR
This Open Source project will make every document accessible. (I was wary of such bold claims until we hacked an unlock at the @github Accessibility Hackathon.) Currently deployed to @calstate and @thisisUIC. Looking for more contributors! github.com/equalifyEverythin…
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Amen @dhh!
My god this is such a good speech that every SWE needs to hear. You know what? Every person should hear it Keep the happy memories, eyes on the reality, be excited about the future. That’s the best that anyone can do
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Blake Bertuccelli-Booth (1111) retweeted
My god this is such a good speech that every SWE needs to hear. You know what? Every person should hear it Keep the happy memories, eyes on the reality, be excited about the future. That’s the best that anyone can do
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Incompressible goodness is my biggest AI doom scenario. I do not want to be a cow in AI’s farm.
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Blake Bertuccelli-Booth (1111) retweeted
here's how i shipped 2,500 PRs last month to production this was originally supposed to be for Cursor Compile in London. i couldn't make it since i was livestreaming for Grok @Bot Galaxy so i'm making it available for free here on X! watch it on 2x speed, i talk slowly
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Blake Bertuccelli-Booth (1111) retweeted
This is an extremely good watch. The things that felt novel/interesting to me: 1. Lock down your agents Humans tend to like 'sharp knife' abstractions - that are powerful, but you can cut yourself if your use them wrong. Lauren says agents perform much better in extremely locked-down environments. Abstractions are designed so they can't screw up, and lint rules enforce it. They built a whole internal framework (Dune) to keep the agent on track. That helps optimise agents that don't have a large context window to work productively in your codebase. 2. Create verification infrastructure To trust the results of any agent, you either need to sit and watch it OR have it provide evidence of its improvement. This has always made sense to me, but Lauren really pushes it hard here: - Invest in custom CLI's that let the agent drive the app and measure its performance - Make the app "factory ready" from the get-go - i.e. deployable to an environment where the agent can mess about with it 3. Feature Maps Lauren's software factory (what she calls an 'outer loop') often requires the agent to break down vague bug reports from users and to turn those into potential fixes. To aid that, they built a 'feature map' of all the main features in their application, which describe exactly how the app is supposed to function. This has become essential for helping the agent navigate the codebase, and figure out quickly how things are supposed to work. It's maintained along with the codebase, and kept in sync via automations. This is the kind of documentation I usually warn against. It goes stale quickly and can confuse agents if it's not kept up to date. But Lauren's team are using it as critical navigation infrastructure, and it makes it possible for agents to explore faster and better - even on a large codebase. So it sounds like navigation docs like this are worth it if they enable new behavior. Banger talk - watch the whole thing on 2x.
here's how i shipped 2,500 PRs last month to production this was originally supposed to be for Cursor Compile in London. i couldn't make it since i was livestreaming for Grok @Bot Galaxy so i'm making it available for free here on X! watch it on 2x speed, i talk slowly
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Blake Bertuccelli-Booth (1111) retweeted
glimpse 2
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Blake Bertuccelli-Booth (1111) retweeted
new brand glimpse.
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Would be cool if UIC HR listed following @mattpocockuk @photomatt and @theo as preferred qualifications for our open AI Engineer jobs.
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Blake Bertuccelli-Booth (1111) retweeted
Post your completion certificate below folks
Replying to @mattpocockuk
@mattpocockuk how can i hire someone who took your course? we’re hiring AI engineers at University of Illinois Chicago and I want someone who has mastered your courses.
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Hey @JPMorrell - Would you participate in a debate at the Jazz Museum on 11/11 for our @noaifyi fest? Oxford style. Question: “Is AI acceleration good for New Orleans?”
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Love what Obama is saying. Love @realDonaldTrump speaking on AI. Love @DavidSacks. Love @DarioAmodei. Love @sama. Love public debate!
I was encouraged this week to see the leaders of the frontier labs agree on the need for them to slow down the pace of AI development. Given the stakes, it’s a good and necessary first step.   But I’m even more encouraged by the growing recognition that how this powerful new technology develops should be at the center of our public debate.   I’ve been watching the progress on AI for over a decade now, and one thing that’s clear to me is that the potential impact of this technology is not overhyped. It’s also moving at lightning speed – and even faster than those who are engineering it can keep up with.   I’m not an AI accelerationist who believes it will lead to some techno-utopia, and I’m not a doomer who thinks it will inevitably lead to humanity’s destruction. But whether this technology results in amazing breakthroughs in medicine, energy and education or unleashes huge economic disruptions, greater inequality, and potential catastrophe will depend on the choices that we make right now – choices that should be made not just by the companies involved, but by all of us.
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Blake Bertuccelli-Booth (1111) retweeted
idk about anyone else, but I find it really hard to dictate what I'm thinking. typing unlocks something in my brain that speaking just doesn't.
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We’ve given away $349k with @1111philo. Unrestricted funds to young people gets top impact. Love to see @cyantist work here: inflectiongrants.com/
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Reading everything tagged @photomatt - again, his words and actions show decency & passion I want from CEOs. Yet there’s still so much hate. In 33 or so years, I do hope A8C is a multi-trillion-dollar success story that proves decency and passion wins the long game.
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