⿻ patcon (is in Toronto) 🦋 @patcon.bsky.social

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⿻ patcon (is in Toronto) 🦋 @patcon.bsky.social banner
⿻ patcon (is in Toronto) 🦋 @patcon.bsky.social

⿻ patcon (is in Toronto) 🦋 @patcon.bsky.social

@patcon_

& this is the wonder that keeps the stars apart. #plurality @CivicTechTO @g0vtw fan @UsePolis contrbtr. past: biochmst @enviroDGI @HyphaCoop @nwspk @gc_talent

Toronto Katılım Eylül 2008
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⿻ patcon (is in Toronto) 🦋 @patcon.bsky.social
I'm starting to feel that I'm less afraid of any particular ideology, but rather, I most fear the distance *between* ideologies. It feels more "towards life" to rage against the larger social neglect which breeds that distance.
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Benjamin Life (re/acc)
Benjamin Life (re/acc)@omniharmonic·
@patcon_ let's do it! i check discord once every few weeks so my apologies for not following up after that message!
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⿻ patcon (is in Toronto) 🦋 @patcon.bsky.social
@jasonfried The question is whether builders can keep up with the new high dimensional misery gradients that are be carved, and if they can find the places where misery is increasing in ways only their expertise can solve. It's a hard bet imho. Ppl can grade their own backyard now
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Jason Fried
Jason Fried@jasonfried·
A bespoke software revolution? I don't buy it. It'll exist. It already exists. Small consultants and big consulting firms have made custom software for years. It almost always sucks. It’s bloated, confusing, and because the client pays, it’s built wrong in all the ways. Who’s excited about bespoke software? Software makers! Of course they're excited about building bespoke software — that's what they do. X is full of them. Your feed is full of people who love making software talking about making software. Of course they’re excited about the revolution. Echo, echo, echo... Most people don’t like computers. Nobody in tech wants to say that out loud. People tolerate computers. They use them because they have to. Given the choice, most would rather not think about them at all. So when someone suggests that AI means everyone will build their own custom tools, ask who "everyone" is. The three-person accounting firm drowning in client paperwork? They want the paperwork gone, not a new system to maintain. The regional logistics company with 40 trucks? They want the routes optimized, not Joe spouting off about this new system he’s been messing around with. The law firm billing 70-hour weeks? They want leverage on their time, not a software project to design. They don’t hate technology. But building and maintaining their own critical systems isn’t their wheelhouse, regardless of how much faster and easier it’s become. It's another job on top of the job. Will these people use AI? Absolutely, for all sorts of things. Will some outliers go deep and build real custom systems? Sure, but they're almost always people who already had some pull toward software. The curiosity was already there. They were dabblers before. Giving everyone access to software building tools doesn't mean everyone becomes a builder. A powerful excavator doesn't turn a homeowner into a contractor. Most people just want the hole dug by someone else. They don’t want the responsibility either.
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⿻ patcon (is in Toronto) 🦋 @patcon.bsky.social retweetledi
Todd Saunders
Todd Saunders@toddsaunders·
I know Silicon Valley startups don't want to hear this..... But the combination of someone in the trades with deep domain expertise and Claude Code will run circles around your generic software. I talked to Cory LaChance this morning, a mechanical engineer in industrial piping construction in Houston. He normally works with chemical plants and refineries, but now he also works with the terminal He reached out in a DM a few days ago and I was so fired up by his story, I asked him if we could record the conversation and share it. He built a full application that industrial contractors are using every day. It reads piping isometric drawings and automatically extracts every weld count, every material spec, every commodity code. Work that took 10 minutes per drawing now takes 60 seconds. It can do 100 drawings in five minutes, saving days of time. His co-workers are all mind blown, and when he talks to them, it's like they are speaking different languages. His fabrication shop uses it daily, and he built the entire thing in 8 weeks. During those 8 weeks he also had to learn everything about Claude Code, the terminal, VS Code, everything. My favorite quote from him was when he said, "I literally did this with zero outside help other than the AI. My favorite tools are screenshots, step by step instructions and asking Claude to explain things like I'm five." Every trades worker with deep expertise and a willingness to sit down with Claude Code for a few weekends is now a potential software founder. I can't wait to meet more people like Cory.
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⿻ patcon (is in Toronto) 🦋 @patcon.bsky.social retweetledi
Julian Gough
Julian Gough@juliangough·
I’m so glad someone has written this paper. It’s an enormous problem. LLMs are so good at operating inside an existing knowledge base with a clean right/wrong function, such as coding or mathematics, that it is largely overlooked that they are also brilliantly effective machines for neutralizing original thought, and processing fresh ideas into sludge.
Natasha Jaques@natashajaques

The paper I’ve been most obsessed with lately is finally out: nbcnews.com/tech/tech-news…! Check out this beautiful plot: it shows how much LLMs distort human writing when making edits, compared to how humans would revise the same content. We take a dataset of human-written essays from 2021, before the release of ChatGPT. We compare how people revise draft v1 -> v2 given expert feedback, with how an LLM revises the same v1 given the same feedback. This enables a counterfactual comparison: how much does the LLM alter the essay compared to what the human was originally intending to write? We find LLMs consistently induce massive distortions, even changing the actual meaning and conclusions argued for.

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