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@nic_carter Seems like you don’t understand what AGI means

The “it’s not AGI because machine intelligence is jagged” is dumb cope. It’s obviously AGI. If you had a friend who had a 130 IQ, could write production code flawlessly, could write academic papers of a high research caliber, pass any exam in any field with flying colors, create a sophisticate LBO model, draw technical diagrams perfectly, compose poetry in any language, and could find solutions to significant unsolved mathematical problems, you would call that person a world historical genius. Certainly, no single human has ever had intelligence that “general” before. Now you think it’s “not AGI” because it sometimes slips up and makes mistakes - so does any human that you would consider “extraordinarily intelligent.” The professor might forget a colleagues name that he has known for a decade. He is still considered intelligent. The math genius might be a little autistic and shy, unable to maintain polite conversation. Still intelligent. You might stare at the fridge for 30 seconds unable to find the butter, despite 5 million years of evolution perfecting your visual intelligence. We give intelligent humans a pass when they have jagged intelligence. So why the double standard? The qualities people list as “necessary for AGI” are important traits to have, but no longer pertain to intelligence. People will say things like “true AGI requires agency, long term goal setting, embodiment, self-direct action”. But none of those things are intelligence. Those are “things that humans have that AI lacks”. Raw intelligence, AI has it in spades. That other stuff - important yet, but broader than and different from intelligence. The unwillingness of people to acknowledge that AGI obviously exists and has existed for a while is due to a kind of anthropic chauvinism - a psychological need to believe that humans are superior in every respect, that we possess soft skills that no machine could replicate. Yes humans are different from machines, but if we are limiting the discussion solely to general intelligence, AI has it already. That battle is over. If you want to reframe the discussion to matters of human dignity and personhood, fine, but that’s not an AGI question. That’s something else. Just take the loss on AGI already. It’s over.

Russian culture is shit.

@KrittinKalra @asmah2107 That exactly is the problem

@asmah2107 “Just review the code” is reasonable until the AI generates 1,000 lines in the time it takes a human to properly inspect 50 At some point devs stop auditing deeply and start trusting outputs implicitly. That’s a massive cultural shift in engineering x.com/i/status/20564…

Hot take: AI code generation doesn't actually save you that much time. If you have to painstakingly review and debug every line of AI-generated code, you're just trading writing time for reading time. The real holy grail? Verification. When AI can mathematically prove its code is 100% correct, you can confidently deploy it without ever looking at the source file.

@poliicyoftruth Я на крок попереду - до всього вищеперерахованого у мене ще є хд і хД

XD xd xD X D i cała reszta wyrażają więcej niż tysiąc słów ngl

@dzhigarr Верхнєє Камшотьєво-на-Юргє, принімаєм єстафєту

@gwenllianwales Треба було залатати

Прибирала у діда на дачі. Знайшла стару каструлю, яку ніхто не мив, мабуть, сто років. Кажу діду: — Я помию Дід: — Та викинь і всьо Я: — Нє, помию Так от, залила її спец.засобом, відтерла потроху. І ПІД НАГАРОМ І ЖИРОМ ВИЯВИЛАСЬ ДІРКА. Кажу діду. Дід: — ОТ ЧОМУ Я ХТІВ ВИКИНУТИ ЇЇ

Вважаю, що треба ще більше ООН в прифронтові міста, щоб вони відволікали увагу дронів від цивільних українців... Має ж бути хоч якась користь

@Fascist_Morty @rackseveryday @Sokio8D Like dropping your production DB

@rackseveryday @Sokio8D Like what?

this is where normies are at with ai btw

We used to go to a special website, ask strangers for help with programming, and get humiliated in return

@AlexFinn I still consider AI to be one of the worst inventions ever. But not because of the bubble, layoffs or whatever, but because it makes people think and learn even less (and people were already lazy before that). And we will see the devastating result of this in less than a decade.

I absolutely hate the script companies are using to lay people off in 2026 It’s bullshit and hurts America I’m not picking on Cloudflare here. Every company that has announced layoffs the last 6 months has used this script: “Business is great! We’ve never been more rich! We have so much money we have no idea what to do with it! But AI man, that shit is crazy! Sorry 14% of the company has to go!” They take 0 accountability for poor decisions made. They take 0 accountability for not being prepared for competitors or market conditions. They just blame it all on AI 80% of Americans hate AI and this is the reason. They see CEOs of AI companies saying the world is ending. They see CEOs of regular companies laying everyone off and purely blaming AI If you weren’t as familiar with AI, you’d think it was the worst invention ever This is why every state has people standing outside of data centers protesting, and they don’t even know what a data center is! We have a MAJOR marketing problem in America when it comes to AI, and if this script all of these companies are using continues we’ll have no shot of beating China

@wesbos @ThePrimeagen We need the same supercut with “jipiti”

pnpm supercut "by the way" --bucket @ThePrimeagen --tile --limit 150

AI i so good today and SWE’s are so done that we had to launch a special insurance for AI fuckups🤌

@brian_armstrong Lol, as pathetic as every other post in likes of «we fire half of our team, increase load on the other half and give everything to a word generator - praise the decision»

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

@denysdovhan Пустив сльозу

Дехто напевно вже забув, але в доковідні часи на вихідних Хрещатик ставав повністю пішохідним від Богдана Хмельницького і до Михайлівської. Там гуляли люди, тусувалась молодь, грали вуличні музиканти, вирувало життя - гарні були часи.

Being able to say no saves tones of money when used properly

Calling me a gatekeeper is laughable. I’ve spent the last 12 years building courses to help people become software engineers. I just released a course on Claude Code and how to use it the right way. This isn’t gatekeeping. Just an honest concern. We have a new generation of devs who don’t read books, don’t finish 30% of a course, spend hours on IG and TikTok, and now lean on AI agents to write code they don’t understand. No review. No quality check. They can’t even tell quality from garbage. They just hit Enter like they’re pulling a slot machine. Some may say: “Mosh, why do you care? It’s their app, let them build it however they want.” Here’s why: 1/ It’s not just their app. Their code holds real users’ data (payments, messages, health info, etc). People who never agreed to be test subjects pay the price when things break. 2/ The talent pipeline is a commons. Every senior was once a junior who learned the fundamentals. Skip that for a generation and in 10 years there’s no one left who actually understands the systems everything runs on (banks, hospitals, infrastructure, etc) 3/ They’re being sold a lie. Influencers profit from “you don’t need to learn, just vibe-code.” The devs buying that pitch are the ones who’ll be unemployable when the market corrects and companies realize they need people who can debug, architect, and reason. This isn’t gatekeeping. It’s the opposite! I want this generation to make it. So if you’re starting out: learn the fundamentals, finish what you start, and use AI to amplify real skill, not replace it.

@moshhamedani And also spend a bit of time (at least a few times a week) just coding by hand. Turn off your AI assistant, read docs, think, plan, draw, code. Don’t let your brain get too lazy.

The worst way to use Claude Code.

Ти сука макака єбуча яка дроче генератор тексту і напарює гоям хуйню про гамно. Урод блять

@andriylogvin Блін, дуже круто, захоплююся людьми, які так легко можуть передати контроль за своїм життям статистичним генераторам випадкових слів!

Я вже писав про свій Стек Аі. Тиждень вже додав до нього другий мозок. (А-ля Андрій Карпаті). Мій Стек: MacMini, OpenClaw + Claude, Telegram + voice, calendars, Apple Health, Hevy, Obsidian wiki. Open-source. Що він робить: Аі планує і готує, Аі записує, Аі аналізує і готує далі план. Як це на прикладах виглядає? → Ранкова підготовка до всіх мітингів дня (з ким зустрічаюсь, контекст за 6 міс, відкриті питання) — у мене на телефоні о 7:30. Без жодної дії з мого боку. → Поки їду зранку, голос з машини стає структурованим записом у Obsidian wiki з тегами і backlinks. Без копіпасту. → Спорт. Garmin + Whoop+ Hevy = Apple Health → coaching у фоні. Сам помітив "місяць без ніг" — red flag, нагадування до наступного тренування. → Ввечері ревю всіх зустрічей. І план на завтра. → Дві голови з однією пам'яттю: Агент Bob (Claude) думає і агент Ava (OpenClaw ChatGpt 5.5) - робить. (групові треди) пишуть у спільний knowledge graph. Не пояснюю одне і те саме двічі. З прикольного. Self-healing. Сьогодні OpenClaw авто-оновився і зламав критичну дорогу — агент сам зі мною знайшов root cause, полагодив без костилів, записав урок у пам'ять. Виділяйте час і ставте собі агентів. Я мало вживав алкоголю. Рідко вино. Зараз взагалі нуль, так пре і так цікаво, шкода час втрачати.

@itsolelehmann Even though the idea of polite communication is good, cuz that will make model generate output from a «more polite» vector, which is usually of a better quality

@itsolelehmann Omfg Mathematical model cannot get anxious, mathematical model cannot have anything related to feelings, it’s just an electrical current running through hardware We desperately need to stop humanizing that

anthropic's in-house philosopher thinks claude gets anxious. and when you trigger its anxiety, your outputs get worse. her name is amanda askell. she specializes in claude's psychology (how the model behaves, how it thinks about its own situation, what values it holds) in a recent interview she broke down how she thinks about prompting to pull the best out of claude. her core point: *how* you talk to claude affects its work just as much as *what* you say. newer claude models suffer from what she calls "criticism spirals" they expect you'll come in harsh, so they default to playing it safe. when the model is spending its energy on self-protection, the actual work suffers. output comes out hedgier, more apologetic, blander, and the worst of all: overly agreeable (even when you're wrong). the reason why comes down to training data: every new model is trained on internet discourse about previous models. and a lot of that discourse is negative: > rants about token limits > complaints when it messes up > people calling it nerfed the next model absorbs all of that. it starts expecting you to be harsh before you've typed a word the same thing plays out in your own session, in real time. every message you send is data the model reads to figure out what kind of person it's dealing with. open cold and hostile, and it braces. open clean and direct, and it relaxes into the work. when you open a session with threats ("don't hallucinate, this is critical, don't mess this up")... you prime the model for defensive mode before it even sees the task defensive mode produces the exact output you don't want: cautious, over-qualified, and refusing to take a real swing so here's the actionable playbook for putting claude in a "good mood" (so you get optimal outputs): 1. use positive framing. "write in short punchy sentences" beats "don't write long sentences." positive instructions give the model a clear target to hit. strings of "don't do this, don't do that" push it into paranoid over-checking where every token goes toward avoiding failure modes 2. give it explicit permission to disagree. drop a line like "push back if you see a better angle" or "tell me if i'm asking for the wrong thing." without this, claude defaults to agreeable compliance (which is the enemy of good creative work) 3. open with respect. if your first message is "are you seriously going to get this wrong again?" you've set the tone for the entire session. if you need to flag something, frame it as a clean instruction for this session. skip the running complaint 4. when claude messes up, don't reprimand it. insults, "you stupid bot" energy, hostile swearing aimed at the model, all of it reinforces the anxious mode you're trying to avoid. 5. kill apology spirals fast. when claude starts over-apologizing ("you're right, i should have been more careful, let me try harder") cut it off. say "all good, here's what i want next." letting the spiral run reinforces the anxious mode for every response that follows 6. ask for opinions alongside execution. "what would you do here?" "what's missing?" "where do you see friction?" these questions assume competence and pull richer output than pure task prompts 7. in long sessions, refresh the frame. if a conversation has been heavy on correction, claude gets increasingly cautious. every so often reset: "this is great, keep going." feels weird to tell an ai it's doing well but it measurably shifts the next 10 responses your prompts are the working environment you're creating for the model tone, trust, permission to take a position, the absence of threats... claude picks up on all of it. so take care of the model, and it'll take care of the work.