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'(:JONES)

@infix_fun

he/him, software engineer. clojure. ai tooling.

Rio de Janeiro, Brazil Katılım Mayıs 2024
343 Takip Edilen27 Takipçiler
'(:JONES)
'(:JONES)@infix_fun·
@koylanai Same experience here. However I think having GPT review Opus work is the best setup so far.
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𐌁𐌉Ᏽ 𐌕𐌉𐌌𐌉
I love how basically every study shows that students do better with less homework and workers perform better with more vacation days and shorter shifts, yet we do the exact opposite because of outdated, guilt-driven “work is suffering” values and toxic hustle culture.
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Alejandro
Alejandro@Oasiszn·
Hot take: We need to replace Central Park with the world's largest data center
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David
David@Justtdavid_·
life really does gets better when you get back into your nerdy interests
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'(:JONES)@infix_fun·
@flowstated Thanks for all the latest deliveries and bug fixes. Could you guys optimize multi task to always span sub agents and leave the main agent free? This has been a recurring issue as an user. Look forward to using it more.
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Ranbir Singh
Ranbir Singh@android_poet·
@csinco I don’t know why people love discussing useless stuff. Just do the work assigned to you, go home enjoy life, and spend time with your family.
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Chris Sinco
Chris Sinco@csinco·
The same ppl saying TUIs are superior to the IDE are now saying HTML is superior to Markdown. 💀
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rohit
rohit@krishnanrohit·
Interesting intuition but unsurprisingly you cannot say this either in mathematics or code
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'(:JONES)@infix_fun·
@championswimmer Unfortunately, some people think that mathematics is equal to thinking. Worse, they think if you don't formally define something there's no worth or not work done. It's really sad and it goes to show how many people in STEM are out of touch with humanities
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Arnav Gupta
Arnav Gupta@championswimmer·
This is one of the smartest people in the world, without doubt. And I feel sad about how tunnel visioned the AI folks have become + on top of that they feel they have all the best ideas in the world because they are developing the things that's setting the economic agenda of the world. But is this posture below even truly defensible? Have you never watched a scene in a movie and truly felt in awe of either the emotion it evoked or the spectacle that unfolded. Have you never wondered how the director came up with the "idea" of that scene? Because in their mind they had the whole thing before it even existed. You think they express their ideas in mathematics and code? You think people who paint, who produce music, who write stories have no ideas? Or you believe all of their ideas can be mathematically expressed? How sad.
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'(:JONES)@infix_fun·
@Duodecahedron12 @championswimmer Are you a musician by any chance? I'm sure you're not. Do you think musicians are out there expressing music like we write an equation? The fact that math is everywhere doesn't mean formal notation is on people's mind. I mean you'd have to be completely out of touch to think so.
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Anastasia Harris
Anastasia Harris@Duodecahedron12·
the language of mathematics and code is in everything, including music. So if you are a musician, you are expressing mathematics. If you are studying something deeply, you can see the mathematics in that thing. For example, my daughter is a musician and she studies the mathematics of music through music theory. This is aligned with the Platonic world view. Its not a personal attack. Why are you so anti-intellectual?
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'(:JONES)@infix_fun·
@bengold Holy shit, hilarious that some people don't understand your take lol
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Ben Gold
Ben Gold@bengold·
I truly don’t understand how anyone using AI for real work can think that we are anywhere close to AGI or that AI is an immediate threat to all tech jobs. Claude, Gemini, and ChatGPT are still so fucking stupid most of the time.
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Emma Steuer 🧚🤖
Emma Steuer 🧚🤖@emmysteuer·
You only live once, so make sure to spend as much time as possible on your computer. You won’t have access to it when you die
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'(:JONES)@infix_fun·
@Dr_Gingerballs @iam_multiman Perfect is a useless expec6. We need working code and code that satisfies the requirement. Making it well suited is the engineer's job.
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Dr_Gingerballs
Dr_Gingerballs@Dr_Gingerballs·
@iam_multiman Coding is highly degenerate. Many solutions exist for a set of parameters, and most of the solutions are not well suited to scale over time in a complex code base. There is no perfect code, so there is no perfect coding agent.
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Dr_Gingerballs
Dr_Gingerballs@Dr_Gingerballs·
An analogy for why I believe current AI coding agents will not survive in a meaningful way long term. First, what is an AI coding agent? It’s a large language model trained on all of the open source code available on the Internet, attached to some sort of loop. You ask it to create a program that has some functions, and provide it with details about how it must operate. The output process then follows: 1. The LLM outputs code as a guess. 2. The looping tool evaluates the code in some way based on stated functional requirements. 3. If the code does not pass, query the LLM to make another guess. 4. Continue until an exit condition is satisfied or you run out of compute. It may not seem like it, but this is just iterative, fuzzy search optimization, just over written words. The utility of the system depends on the quality of the guesses, the evaluation mechanism, and the optimization strategy. The quality of the guesses depends on the quality of the training dataset. Does the training dataset contain the code snippets needed to make your request? For simple and common requests, the answer is yes. If you just need an efficient sort routine in a language you aren’t fluent in, you can get the model to make one for you and it might save you 10 minutes. Not insane speed up but definitely compounds over time. Here the coder knows what they want exists, knows how the sort algorithm is supposed to work, and just needs one whipped up in a new language they are building in. The expert saves some time. Integration into the codebase is still done by the human. It’s basically fancy autocomplete. For more complex requests, such as multi function routines which require a large amount of architectural design, the agents start to fall apart. This is because the likelihood that someone has built exactly what you wanted goes down quickly as the size of what you want increases. Here enters the loop. The agent producers hope that your request is similar enough to a range of existing code that they can guess a workable version by interpolating (and sometimes extrapolating) between solutions. So they make a guess with some randomness applied, evaluate, and modify the guess based on the results. Anyone who has done iterative optimization can identify a lot of the issues that occur in these systems. You might get stuck in a suboptimal state, where all the next guesses are worse than the current guess, even though the current guess isn’t an acceptable solution. The output seems like it’s almost there but not quite. The user then keeps requesting more iterations, hoping to go from 90% to 100% that never comes. There may also be degeneracies in the sample space, and you might get something that passes the criteria but is sloppy, nonsensical, or ridden with unnecessary bloat under the hood. Like a root finder that just won’t find the root you are looking for. And so in the course of writing, say 1000 lines of code, the agent has actually written 1M lines of code, iteratively generating and praying it can pass off as acceptable. The user never sees most of this, just told the system is “thinking.” When all is said and done, that 1000 lines of code required the generation of millions of lines of code, mostly thrown out. Now to get to the analogy. Think of the agent as a bricklayer and you have asked for a brick wall. You specify color, pattern, accents, etc. But the bricklayer isn’t very skilled, and decides to lay bricks stochastically. First, he evaluates each brick after placement. Thickness of seams, alignment, angle, etc. if it is wrong, he breaks it out and tries again. For every brick in the wall, he lays 100 bricks and wastes 99. Then he decides to go faster, only evaluating every 10 ft of wall. If there are more than 10% errors, he destroys it and rebuilds. For every 10 ft he lays 1000’s of ft.
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'(:JONES)@infix_fun·
@mattpocockuk Don't you think claude code should expose those flows in a better way than just calling skills?
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Matt Pocock
Matt Pocock@mattpocockuk·
A flow I just tried and LOVED: 1. /grill-with-docs, talking about a new bit of UI 2. Asks me a question I can't answer unless I prototype 3. /prototype 4. Iterate on the prototype, burning tokens freely until we get a good spot 5. /rewind to the question, and select 'summarize' (Claude Code feature), saying 'summarize what we learned from prototyping' 6. Continue the grilling session, retaining the prototype Smoooooooth
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ThePrimeagen
ThePrimeagen@ThePrimeagen·
"Non technical teams shipping production code" - coinbase
Brian Armstrong@brian_armstrong

This is an email I sent earlier today to all employees at Coinbase: Team, Today I’ve made the difficult decision to reduce the size of Coinbase by ~14%. I want to walk you through why we're doing this now, what it means for those affected, and how this positions us for the future. Why now Two forces are converging at the same time. We need to be front footed to respond to both. First, the market. Coinbase is well-capitalized, has diversified revenue streams, and is well-positioned to weather any storm. Crypto is also on the verge of the next wave of adoption, with stablecoins, prediction markets, tokenization, and more taking off. However, our business is still volatile from quarter to quarter. While we've managed through that cyclicality many times before and come out stronger on the other side, we’re currently in a down market and need to adjust our cost structure now so that we emerge from this period leaner, faster, and more efficient for our next phase of growth. Second, AI is changing how we work. Over the past year, I’ve watched engineers use AI to ship in days what used to take a team weeks. Non-technical teams are now shipping production code and many of our workflows are being automated. The pace of what's possible with a small, focused team has changed dramatically, and it's accelerating every day. All of this has led us to an inflection point, not just for Coinbase, but for every company. The biggest risk now is not taking action. We are adjusting early and deliberately to rebuild Coinbase to be lean, fast, and AI-native. We need to return to the speed and focus of our startup founding, with AI at our core. What this means To get there, we are not just reducing headcount and cutting costs, we’re fundamentally changing how we operate: rebuilding Coinbase as an intelligence, with humans around the edge aligning it. What does this mean in practice? - Fewer layers, faster decisions: We are flattening our org structure to 5 layers max below CEO/COO. Layers slow things down and create coordination tax. The future is small, high context teams that can move quickly. Leaders will own much more, with as many as 15+ direct reports. Fewer layers also means a leaner cost structure that is built to perform through all market cycles. - No pure managers: Every leader at Coinbase must also be a strong and active individual contributor. Managers should be like player-coaches, getting their hands dirty alongside their teams. - AI-native pods: We’ll be concentrating around AI-native talent who can manage fleets of agents to drive outsized impact. We’ll also be experimenting with reduced pod sizes, including “one person teams” with engineers, designers, and product managers all in one role. In short: AI is bringing a profound shift in how companies operate, and we’re reshaping Coinbase to lead in this new era. This is a new way of working, and we need to leverage AI across every facet of our jobs. To those who are affected I know there are real people behind these decisions — talented colleagues who have poured themselves into this company and our mission. To those of you who will be leaving: thank you. You’ve helped build Coinbase into what it is today, and I am sincerely grateful for everything you've done. All impacted team members will receive an email to their personal account in the next hour with more information, and an invitation to meet with an HRBP and a senior leader in your organization. Coinbase system access has been removed today. I know this feels sudden and harsh, but it is the only responsible choice given our duty to protect customer information. To those affected, we will be providing a comprehensive package to support you through this transition. US employees will receive a minimum of 16 weeks base pay (plus 2 weeks per year worked), their next equity vest, and 6 months of COBRA. Employees on a work visa will get extra transition support. Those outside of the US will receive similar support, based on local factors and subject to any consultation requirements. Coinbase prides itself on talent density. Our employees are among the most talented people in the world, and I have no doubt that your skills and experience will be highly sought after as you pursue your next chapters. How we move forward To the team that is staying, I know this is a difficult day. We’re saying goodbye to colleagues and friends you've been in the trenches with. But here’s what I want you to know as we move forward together: Over the past 13 years, we have weathered four crypto winters, gone public, and built the most trusted platform in our industry. We’ve made it this far by making hard decisions and by always staying focused on our mission. This time will be no different – nothing has changed about the long term outlook of our company or industry. And most importantly, our mission has never been more important for the world. Increasing economic freedom requires a new financial system, and we’re building it. The Coinbase that emerges from this will be more capable than ever to achieve our mission. Brian

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Vatsalya
Vatsalya@vatsalyatandon·
claude took her job too
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