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getting folks on https://teapawt.net/t.co/CjGTg0mDc7 crusades: @usehooman prev: @noicedotso

Cochin, India
Joined December 2018
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> abstractions that introduce a different way to compute. Think: type systems, Lisps, CUDA, unikernels, IaC, k8s. (That's not a final and super confident list, more a general pointing in a direction. I'm unsure here.) this is the way.
Loose thoughts on the future of abstractions: At first glance, it seems evident that shared abstractions (stdlibs, frameworks, libraries) will still be beneficial in a world of agents. Centralized and shared knowledge, lower costs (no tokens needed) are just two reasons for why this is good. But, looking back at the last ten years, it's clear that a lot of frameworks and libraries were made due to (to simplify) personal preference: framework X is Y but in language Foo which has same runtime characteristics as Bar but I like it better, or framework X was born out of frustration with syntax of Y, or framework X uses TOML instead of YAML and is container-native or ... <insert favorite thing here>. Meaning: a lot of abstractions in the last twenty years were made for reasons that no longer seem valid. That makes me think that there will be less need for more abstractions (as we've known them!) in the future. But if you look around, you'll see that there's a thousand new things being created every day. I think that's a temporary phase. There are other, deeper (for lack of a better term) abstractions though that still seem valid: abstractions that introduce a different way to compute. Think: type systems, Lisps, CUDA, unikernels, IaC, k8s. (That's not a final and super confident list, more a general pointing in a direction. I'm unsure here.) I do think that in the future people will still create new abstractions of this latter type. Sharing those is still valuable, because they go along with a platform or a product. But the former type -- different languages that just switch syntax, frameworks that fix one grievance, util-like stdlibs -- for that I can see a future in which we're just endlessly remixing and "vendoring" existing abstractions. And just to say this out loud: I do think a lot of code-level abstractions (MVC, composition over inheritance, avoid-god-objects, classes vs. modules) don't matter in the future, because they're born out of the ability of humans to understand and maintain code. Even if new abstractions in this realm might make sense in the future, I think the barrier for them to spread is now incredibly high. Example: friend reported that in his company they're trying to introduce a new pattern because "adding a new country to our system requires changing all of these places in this 1500-line long class" -- who gives a shit about that anymore? Oh and another thing: I think the "is it in the training data?" concern is way overblown by now. Intelligence generalizes to a certain degree and the latest models have 0 problems writing in a language or framework that you just made up. Try it.
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coming soon to CPUs around u.
Most important stuff inference vendors offer: 1. Access to GPUs (hard to get!) 2. Infra abstraction so it's easier to operate 3. Privacy of data and security Usually, a breach would be very bad. BUT GPUs are so scarce today that customers don't have all that many options...
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the moral of the story is the usual: do not compete with the hyperscalers on the exact same API that they currently support especially in an era when large companies are getting more skittish about security small tech will not win a capacity war against big tech
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neat!
We solved the handle squatting issue once and for all. Use your organization's domain as a handle!
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this is the way.
we are entering a renaissance in programming language and runtime research, and a golden age of software testing and verification it’s time to rewrite all software
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Excited
Replying to @archgen_
@archgen_ is building skyscrapers for semiconductor chips Shrinking transistors is getting harder. Stacking them makes heat harder to manage. We’re building the tools to design chips in three dimensions. We stack transistors vertically, shorten connections, and optimize timing and heat together. Our foundational model for thermal simulation, predicts temperature roughly 5,000× faster than conventional EDA tools. Our placement engine ranked #1 in HRT’s macro-placement challenge We’re working with some of the largest fabs in the world to tape out our first chip in April 2027 archgenlabs.com
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incorrect. bursting chinese firecrackers has deep cultural significance in hindu culture
I’m convinced, one has to inherently be a bad person to be bursting firecrackers in India during winter - cancerous gases and pollutants that harm everyone, scare animals, make asthmatics literally breathless, and cause long term irrevocable damage to health, just to see some lights and sounds in the air.
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VMs and CI providers are modern day dropshippers
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talking to a coding agent is more like email than irc - because the interactions are few and far between, I often finding myself quoting their most recent text, answering multiple questions. addressing different topics. it's like replying to an email. It makes me wonder if you could have a coding agent UI that was more like an email client or mailing list kind rather than chat
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LLMs are SO DAMN UNRELIABLE I pointed Codex to block all members on this excellent AI slop list by @dillon_mulroy. It did it (or said it did) Next thing I know, it also blocked @championswimmer and other random accounts. Lesson learned: not letting an LLM near my X...
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there’s a massive difference between the vector database rush and the sandbox rush sandboxes make money
Everyone is arguing about AI sandbox pricing, but they're not even comparing the same thing. @boatdotdev sells a whole VM at a flat hourly rate, $0.018 an hour, so you can predict the bill. @Agent37HQ sells minutes and sleeps the box down to just disk, so an agent that mostly sits idle costs less. @vercel Sandbox only bills CPU while your code is actually running, which makes sense because an agent spends most of its life waiting on an LLM response. @e2b sells the trust layer, a real microVM per session, for running code you do not trust. @daytonaio sells pause and fork, so you can freeze a running machine and clone it into twenty copies. And there are about 30 of these on one public benchmark alone, which probably makes it the most competitive space in infra right now. Feels a lot like the vector DB rush in 2023, when everyone shipped roughly the same thing and then spent a year posting benchmarks at each other 😂
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We very quietly launched ssh exedev new --sandbox for people who want to pay for a VM by the minute instead of in resource pools. I haven’t said anything because we have been pondering how to even talk about it. Turns out people are finding it on their own!
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Sandboxes/CI Runners are the biggest expense for fully agentic development outside of tokens. I just saw our CI bill grow an order of magnitude trying to make CI fast across all the PRs over the past month. It’s unsustainable. So I looked into the data (prepared by astra). My assumption is that anyone offering sandboxes/runners is just stacking their margin on whatever compute they use under the hood. You can see how this clearly works in the below figure. Fully productized runners are the most expensive by 2 orders of magnitude compared to the DIY version. What is interesting is all these sandbox/runner products are likely using either OSS firecracker or containerd, with a proprietary orchestrator on top. And maybe some other pretty product stuff too that these companies like to think differentiate them (it doesn’t). But look at the data below. You can save a ton of money if you self solve orchestration and go direct with cloud providers. Or bring your own hardware. So it really comes down to orchestration. Is that worth this crazy premium Blacksmith and GitHub actions charge? No. You can build your own; dare I say even vibe code it. Sure there are likely a lot of interesting lessons that companies learn by operating these systems over time that you won’t be able to vibe code yourself. But those things are not worth the 50x premium you might be paying for a company to “learn” this at scale, on your dollar. Moreover, you simplify a ton by building it to be single tenant, and in your VPC. So go build your own orchestrator. Or stop doing CI. The result is the same: stop paying these companies 10s of thousands of dollars for a commodity. This is possible now thanks to AI. At some point most companies will wake up and do this because the costs are not sustainable.
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why, it's the greatest time to be in software if you are able to stay a key contributor to popular software over time you are golden. a true hacker. worthy of respect. if not, you are larping. i never cleared that bar. just don't larp without knowing it. (like most replies on this thread)
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The deadline to apply is 15th November! But if you apply by midnight today, we'll get back to you with some feedback on your application. Our application form is iterative: you can keep editing your application after you submit it. We read the latest version We know application forms usually suck, and we want you to get the best version of yourself and your work out!
Launching Junction: come speed-run the semiconductor tech tree this December in Bangalore. We’re flying in students from all over India 🇮🇳 to a 2-week fabrication retreat at @_lagrangepoint to build equipment, design chips and engineer processes, with our friends at @hackerfabindia. India still needs thousands of semicon engineers -- the ecosystem to produce them isn’t mature enough yet -- we're changing that. Current applicants have built vacuum chambers to study plasma physics, RISC-V processors from scratch, scanning tunneling microscopes, et cetera At junction you will: 1. Propose a project 2. Figure out a plan with the Junction team. 3. Iterate fast towards a working prototype, with help from the Junction team 4. Be mentored by top semiconductor hackers and specialists. 5. Demo to industry leaders, founders, investors, and your fellow craftspeople Flights, accommodation and project expenses? All covered. Apply on the link below
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If you know where you live, you're ngmi.
Dario Amodei testified under oath that he didn't know his home address
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things are moving so fast that if you’re not thinking at least 3-6 months ahead, you’re already behind
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and was tonna fun along the way!
we spent less than $25k on all of noice marketing through its life millions of startup/protocols have 100x-1000x more resources but don’t try hard enough happy to help
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Dario Amodei testified under oath that he didn't know his home address
PACER access obtained ✅
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