Jack Danger

Jack Danger

@jackdanger.com

Engineering @ LaunchDarkly, burritos, acapella

286 followers233 following72 posts

The characters in AI are anthropomorphic, so describing them in human terms is meaningful. The shoggoth underneath is not, and anthropomorphizing it does not help readers understand bsky.app/profile/coli...

Will Stancil@whstancil.bsky.social

I’ll say it; I think this is bad. I think there’s growing pressure to talk about AI in this kind of coded language that destroys understanding, rather than facilitating it. People want you to recite a list of its supposed weaknesses as a reassurance for themselves, not to inform others.

Every warning-against-AI written by a frontier labs employee makes me wonder if they even know that someone has to actually *pay* for the computers to execute software

not exaggerating - I think they may have forgotten that free compute is something that only exists briefly, in bubbles, at only some companies

Serious question: How are eng leaders bringing their teams safely through this AI shit? There is so much to learn, so much to grieve, so much fun to be had, and everybody is handling it differently.

Two AI truths through which I see everything: * commoditization is inherent - everything is a race to the bottom because there is zero stickiness anywhere * what you can do with AI is limited by your own knowledge

I’m not sure I’d buy the idea of AI addiction (people destroy themselves and their families to feed an addiction), but it obviously generates intense dependency (like phones do)

I’ve been working on a longform blog post, but I realized the whole takeaway is this: computer science degree matter again. Source code is free forever, but actually running software has not become any easier.

omg I thought of a word for it: "Claudchés" It's not X, it's Y. The A is the B, and it's the X The key insight is A isn't just B, it's X etc.

Alfred Nobel was mistakenly believed dead and his obit written honestly. He read it and sought to change his life, establishing the Nobel Prize. McConnell and Graham have destroyed countless communities and impoverished millions because of their failed moral compasses.

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I see folks interpreting the SpaceX IPO as a call to be more like Elon. Richness is giving to others more than you take, creating value that wouldn’t exist without you, and leaving every person better than you found them. Invest in your own internal moral compass and generate joy for yourself.

Earn much Consume little Give generously Celebrate life I heard that once from a man who devoted his life - and his family’s life - to living among and serving the global urban poor. Brave good men reveal folks like Thiel and Elon as the children they are

If you want: * The public to think AI is scary * To pump up mentions of your name before IPO * To stop losing $400/query I imagine you might shut down your giant uses-8-racks-to-answer-questions model when any fed gives you a chance

I thought Python would be the default language of the future because the folks who built LLMs used it the most. These days I'm doing everything in Rust because only correctness and performance matters if I'm not seeing the code anyway

Anthropic, as a company, has many strengths. But their leadership exists in a realm where everything is free. So nothing about their products or tooling is informed by customer cost-sensitivity

When inference prices go up (likely this summer IMO) software engineering will look even more like engineering: methodical and intuitive cost/value trade-offs over a complex system

I'm using Opus 4.8 for some extremely difficult software problems and it's failing in consistent ways. It's like mentoring a promising junior engineer (that moves at 10,000x human speed). Feels like it's asymptotically approaching autonomy, but every step toward it is exponentially more expensive

writing code with AI relies on two huge drivers: * model inference * developer tooling (e.g. Claude code) There’s no lasting competitive advantage in the models (every part gets cheaper every year). And the dev tooling is fun and easy to make with good models.

I voted for Steyer but I’m happy with Becerra in part because all the wonkiest people I know in CA say he’s legit, if not colorful. After seeing the outcomes of a dramatic government, I bet I’d be pretty happy with a merely effective one

there are only a couple things about AI that I’m pretty certain of: * We should store every one of our input and output tokens. These are ours. * In a few years your laptop will run all the AI you need for 99% of cases. 100% for most people

If you’re curious about saving your tokens ask a tool of your choice: “Use something like specstory to collect and keep an archive of all the input and output tokens from Cursor, Claude, and every other program you find on my machine. Format them so I can use this for training”

Jack Danger reposted

Start planning now to attend a No Kings protest on Oct. 18. We need this one to be even bigger than the last one. Invite your family and friends, and ask them to invite their family and friends. People power can defeat fascism.

Jack Danger reposted

If you appreciate my reporting, consider a paid subscription to The Handbasket: www.thehandbasket.co/upgrade

Marisa Kabas@marisakabas.bsky.social

New — I wrote about the violent assault on a DC delivery worker this morning by masked federal agents, and how these agents have made the disturbing turn from quiet thugs to playing for the cameras.

Jack Danger reposted

I don’t think anyone is prepared for what they just did w/ ICE. This is not a simple budget increase. It is an explosion - making ICE bigger than the FBI, US Bureau of Prisons, DEA,& others combined. It is setting up to make what’s happening now look like child’s play. And people are disappearing.

Remember that we’re nearly powerless to effect change in one day, but we can do anything if we show up to bi-weekly meetings for years. Literally anything. Find a group, plug in deeply and regularly until you have power.

Jack Danger reposted

This is so good. Love @kmtani.bsky.social's perfect description of what it really would mean to think of the justices as a certain kind of umpire.

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