Andy Garcia

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Andy Garcia

Andy Garcia

@with_indy

Building Software with AI agents. Ex Microsoft Research

Cambridge, England Katılım Şubat 2021
142 Takip Edilen472 Takipçiler
Andy Garcia retweetledi
sunil pai
sunil pai@threepointone·
remember when programming was free
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Andy Garcia
Andy Garcia@with_indy·
Why would the battery not charge, even when I had it plugged in for hours now.
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Luis Portal
Luis Portal@pxrtal·
archive folder 📂 #flutter (zero external dependencies) repo: #archive-folder" target="_blank" rel="nofollow noopener">github.com/lportals/porta…
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Anish Moonka
Anish Moonka@anishmoonka·
The musty wet-rag smell on damp clothes is bacteria. A bug called Moraxella osloensis lives on your skin, gets onto fabric every time you wash, and once that fabric stays damp past 4 hours, it starts doubling. What you're smelling is the acid it leaves behind as waste. Japanese researchers at Moriyama University figured this out in 2012. They counted 10 times more of this bug on smelly towels than on clean ones. It survives any wash below 60°C, or 140°F. Most people wash much cooler. The fungi behind athlete's foot, ringworm, and jock itch also live on damp clothes. A 2010 paper from the Hohenstein Institutes in Germany found that about 10% of the infectious material jumps from a contaminated piece of clothing to a clean one just by sitting in the same laundry basket. And wet fabric passes 200 times more bacteria to your skin than dry fabric. Then there's the air. One wet load of laundry releases about 2 litres of water, around half a gallon, into the room. The UK's Centre for Sustainable Energy ran the numbers: drying one load in a small bedroom, around 10 by 10 feet, pushes humidity to roughly 96%. A tropical rainforest sits between 77 and 88%. Mould starts growing at 60%. The fungus that loves these conditions is Aspergillus fumigatus. Professor David Denning at the National Aspergillosis Centre in Manchester has treated patients who developed a chronic lung infection from inhaling spores that grew in bedrooms where wet laundry was drying on the radiator. His team estimates 87% of UK homes dry their clothes indoors during winter. So a shirt that didn't quite dry has live bacteria still multiplying on it. The air around it is wetter than a rainforest. And the fungi growing in that air are the same ones hospitals treat for invasive lung infections. Your washing machine cleans the dirt. Your dryer kills the bugs.
𝒹𝓇𝓌💭@kendrrw

please and please if your clothes didn’t dry, don’t wear them

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Erin Price-Wright
Erin Price-Wright@espricewright·
If you're a naturally anxious person, I recommend pursuing a high stress career path where at least you'll be compensated for anxiety you're going to have anyways.
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Mitchell Hashimoto
Mitchell Hashimoto@mitchellh·
I strongly believe there are entire companies right now under heavy AI psychosis and its impossible to have rational conversations about it with them. I can't name any specific people because they include personal friends I deeply respect, but I worry about how this plays out. I lived through the great MTBF vs MTTR (mean-time-between-failure vs. mean-time-to-recovery) reckoning of infrastructure during the transition to cloud and cloud automation. All those arguments are rearing their ugly heads again but now its... the whole software development industry (maybe the whole world, really). It's frightening, because the psychosis folks operate under an almost absolute "MTTR is all you need" mentality: "its fine to ship bugs because the agents will fix them so quickly and at a scale humans can't do!" We learned in infrastructure that MTTR is great but you can't yeet resilient systems entirely. The main issue is I don't even know how to bring this up to people I know personally, because bringing this topic up leads to immediately dismissals like "no no, it has full test coverage" or "bug reports are going down" or something, which just don't paint the whole picture. We already learned this lesson once in infrastructure: you can automate yourself into a very resilient catastrophe machine. Systems can appear healthy by local metrics while globally becoming incomprehensible. Bug reports can go down while latent risk explodes. Test coverage can rise while semantic understanding falls. Changes happens so fast that nobody notices the underlying architecture decaying. I worry.
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Bilal Zuberi
Bilal Zuberi@bznotes·
I remind myself of this quite often.
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Marc Brooker
Marc Brooker@MarcJBrooker·
That doesn't mean UUIDs are bad, or accepting them from clients is bad per se, but it does mean that if you depend on unique UUIDs for a critical safety property of your system, then you might want to control where they come from.
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Cooper - keywords in top positions (ASO)
Which one do you think is a better app icon for my personal finance iOS mobile app? A (flat and modern) or B (illustration)
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Taelin
Taelin@VictorTaelin·
seriously, working with AI is MISERABLE for one and only one reason: having to re-explain the same thing "oh yeah this new session obviously doesn't know what proper case trees are, so let me explain it for the 5000th time in my life" I'm tired AGENTS.md doesn't solve this because it is impossible to fit the entire domain knowledge without nuking the context - it would be 1m+ tokens worth RAGs don't solve this, the agent won't search unknown unknowns SKILLs don't solve this unless I keep like a collection of 1750 skills with specific cuts of domain knowledge for each possible subset of my domain that I might need in a given chat, but that's a lot of manual work recursive LLMs or whatever don't solve this for the same reason, you can't dump a domain book and expect the AGENT will magically guess that it is supposed to search for a specific bit knowledge. unknown unknowns fine tuning doesn't solve this (OSS models suck and OpenAI / Anthropic gave up on user fine tuning) I honestly think a good product around fine tuning on your domain would be a major hit and an underdog lab should take this opportunity
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Viktor Seraleev
Viktor Seraleev@seraleev·
Seeing $100k+/month in revenue for the first time 🚀 Crying from happiness. It took me 2.5 years to reach this. From zero. Had to go through hell: account deletion, lawsuits, losses, debt, frozen accounts, countless mistakes. Just believe in yourself and don’t give up. You can work in public. Don’t be afraid to make mistakes. That’s how you find what works. And the most unusual part, you can scroll through my entire X. I documented every step. What I shipped, what I tested. You can watch the video about me. @adamlyttleapps made a great episode, and nothing has changed since then. I just keep hitting the same point, slowly but consistently, and it’s starting to pay off.
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Andy Garcia
Andy Garcia@with_indy·
It is exhausting and there's no logical flow to the code it produces. Best way to deal with this is to control every function/class it writes. That way you're reviewing the code as it is being written. Easier to deal with and saves time. I don't think 'fully autonomous agentic' is the way forward.
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Christoph Rumpel 🤠
Christoph Rumpel 🤠@christophrumpel·
My biggest issue with letting AI write more code for me is, that it becomes quite exhausting checking code that I did not write. Maybe some of you are used to that. I am definitely not... yet.
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Andy Garcia@with_indy·
Codex casually giving me donkey work is next level.
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Andy Garcia
Andy Garcia@with_indy·
It's unreal how deep Prometheus (RiddlyScott) goes into what the state of AI would be in the future
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ThePrimeagen
ThePrimeagen@ThePrimeagen·
I think some people are misunderstanding me here. I am 100% confident that LLMs alone will get you a hot steaming pile of absolute shit and it has played out again and again. What irks me is that a bunch of normies were sold that this is PhD level intel and that they have 0 worries and this is the future old man, get with it. They go off, sell a product to REAL customers and then absolutely get wrecked. There will be a whole bunch of people that will continue to get wrecked because an entire class of people cheer them on and more so CEOs of the worlds largest companies tell them they are correct. I can imagine that we will see quite a few lawsuits in the coming months / years due to this.
ThePrimeagen@ThePrimeagen

There are a lot of people dunking on this guy and the arguments at the end of the day come down to "You are holding it wrong." But to be fair there has been nothing but a constant stream of "Stop holding it, Software Engineering is over shortly." I am not shocked that this has happened and I am 100% confident that this is not going to be the last one. The problem is the vogue nature of insane hype claims, most specifically from Dario himself being most guilty. People are lulled into a faux safety due to the belief that these LLMs are literal gods in their pocket. Infinite knowledge and speed for a simple monetary exchange. Cannot wait for ThePhilospher to explain how a loving God could delete a production database.

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Felix Heide
Felix Heide@_FelixHeide_·
Are we done with object detection? What about tiny objects beyond 200 meters? 🔎 Telescope 🔭 addresses long-range perception by explicitly tackling extreme scale imbalance ⚖️ in images. It hinges on a learnable hyperbolic foveation transform from a low-resolution image, magnifying distant regions 🔍 while compressing nearby ones - effectively normalizing object scales with minimal computational overhead. Objects are detected in the transformed (Riemannian) space using a novel bounding box parameterization and are then mapped back to the original image. Project: light.princeton.edu/telescope/
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Andy Garcia retweetledi
Brooks Otterlake
Brooks Otterlake@i_zzzzzz·
Might try running a marathon now that I know it can be done in less than two hours
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Andy Garcia
Andy Garcia@with_indy·
@luke_pighetti so the flight crew doesn't give a shit? flight crew in EU come around and physically poke you to open window, tray table closed, seat up right
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Luke
Luke@luke_pighetti·
i’m on a flight from florida to nyc and no one has their windows open for takeoff and landing. i have deep distrust for these people.
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staysaasy
staysaasy@staysaasy·
So my buddy has changed his entire life with his OpenClaw. He used to be perpetually busy and distracted. Always late. Super flakey. And frankly miserable. He. Has. Changed. Overnight. I hang out with him 3x more because his claw makes scheduling with him so easy. His wife says he has an extra 8 hours a week of time with his family because the claw has automated so much of his life. He went from the most scattered person I know to the most reliable. Tech is beautiful man. Of course this is complete fiction. I know 0 people who have had any durable life changes from the world’s most hyped personal assistant. Maybe 2027 will be the year these dreams come true.
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