Luke Mlody

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Luke Mlody

Luke Mlody

@lmlody

ai/ml product lead. Previously 2x cofounder/ceo. Occasional DJ. 🇵🇱🇺🇸🇬🇧🇩🇪🇨🇳

Katılım Kasım 2009
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Gergely Orosz
Gergely Orosz@GergelyOrosz·
If you use GitHub (especially if you pay for it!!) consider doing this *immediately* Settings -> Privacy -> Disallow GitHub to train their models on your code. GitHub opted *everyone* into training. No matter if you pay for the service (like I do). WTH github.com/settings/copil…
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Bret Taylor
Bret Taylor@btaylor·
Today, Sierra is releasing Ghostwriter, our agent for building agents. With Ghostwriter, you can create an AI agent for your customer experience — one that can chat, pick up the phone, speak dozens of languages, take action on your systems of record, and be protected with industry-leading guardrails — simply by having a conversation. No clicking, no forms, no menus. Codex and Claude Code have transformed how we build software, making it possible for software engineers to orchestrate and review the work rather than doing all the work themselves. We think the same transformation will happen for all software. Rather than every enterprise app having a web app for humans and an API for automation, every software platform’s UI will be an agent that can do the work on your behalf. I recorded a demo of my building and optimizing an agent with Ghostwriter so you can see how powerful and easy it is to use. It’s completely changed the way our early adopters build agents, and it’s changed the way I think about the software industry. Let me know what you think, and, if you’re interested in trying it out at your business, please reach out directly.
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Nikita Bier
Nikita Bier@nikitabier·
We’re rolling out summaries for Articles now. Just tap the Summarize button if you want to know if it’s worth your time to read it (or if your attention span is 12 seconds).
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Michael J. Miraflor
Michael J. Miraflor@michaelmiraflor·
Book your summer vacation flights… now. Or yesterday.
Steven Swinford@Steven_Swinford

Exclusive from @oliver_wright Airlines have been warned that they will face jet fuel shortages as soon as next month, risking flight cancellations to long-haul destinations at the end of the busy Easter holiday period Oil traders expect to see shortages of jet fuel from the continued closure of the Strait of Hormuz within the coming weeks as reserve supplies are run down and not replaced This week, Vietnam became the first country to warn of possible flight cancellations from April after China and Thailand announced they were halting exports of fuel to maintain their own supplies Other countries are expected to follow suit in the coming days with industry experts warning that airlines could be forced to stop serving some long-haul destinations because they may not be able to get the fuel for the return journey Britain is also vulnerable to potential disruption if the conflict continues as the majority of the country’s imported jet fuel comes from Kuwait, Saudi Arabia and the United Arab Emirates thetimes.com/uk/transport/a…

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Luke Mlody
Luke Mlody@lmlody·
@KinasRemek Trochę jak kiedyś się miało własną furę przy której się dłubało, to teraz nerdy mają maca mini i dłubią przy ai. Mi pasuje.
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Remek Kinas
Remek Kinas@KinasRemek·
Na czym polega fenomen OpenClaw 🦞? Możecie to wyjaśnić? - ludzie chodzą z szczypcami na głowie - stoiska na ekspozycji GTC z motywami OpenClaw - slajdy z symbolem 🦞- wiele firm chce mieć ten motyw na swoich materiałach - keynote GTC - całkiem duża część wypowiedzi Jensena Huanga poruszało temat 🦞 - dzisiaj NVIDIA przekazuje GB300 Andrejowi Karpathy a tam informacja o 🦞 - kiedy wymieniane jest gdziekolwiek nazwisko twórcy 🦞 - pojawiają się wielkie brawa, owacje By była jasność. Bardzo się cieszę, że tak wygląda kariera twórcy, jest uznawany, ceniony, a jego rozwiązanie jest adaptowane nawet na poziom segmentu konsumenckiego i enterprise. To jest super. Zastanawiam się jednak co spowodowało, że tak prosta koncepcja, możliwa do złożenia za pomocą kilku skryptów i dobrego frameworku agentowego wystrzeliła tak do góry? Tym bardziej, że jest łatwa do skopiowania, istnieje już kilkadziesiąt podobnych rozwiązań (niektóre teoretycznie bardziej zaawansowane, efektywniejsze). Pomysły? Myśli?
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Luke Mlody
Luke Mlody@lmlody·
@NateSilver538 Depends if you intend to stay down after getting punched in the face.
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Nate Silver
Nate Silver@NateSilver538·
"You can just do things" is basically the same heuristic as "Everyone has a plan until they get punched in the face" except for people who haven't been punched in the face yet.
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signüll
signüll@signulll·
the most underrated hire right now is a great product person. when i say product person i'm def not talking about a product manager. perhaps i think there has to be somewhat of a new role. i don't have a good name for it yet but maybe something like "product thinker".. someone with an intuitive grasp of the product as it exists, where it's soft, where it sings, & how to iterate it toward something even sharper. in some sense, this person has to cohesively hold in their head where this product should be 2 years from now & work backwards from that. i say this cuz when building was hard, engineering was the bottleneck & the status hierarchy often reflected that. building is no longer hard. which means the variance in outcomes has shifted almost entirely to judgment on what to build, how to sequence it, & how to talk about it. & the story matters as much as the thing. internally, it organizes the team around a shared model of why. externally, it shapes the interpretive frame users bring to their first experience. you can't retrofit narrative onto a product & expect it to land, it has to be load bearing from the start. the rarest version of this person sits at the intersection of culture & deep technology. someone genuinely bilingual. they know what's technically possible & they know which cultural currents are real vs. ephemeral. that combo is what separates products that feel inevitable from products that feel assembled. before ppl clap back with this person has always been valuable, i know.. i am just saying now they might be the most *important* person in the room. their value compounds like never before.
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Andrej Karpathy
Andrej Karpathy@karpathy·
I packaged up the "autoresearch" project into a new self-contained minimal repo if people would like to play over the weekend. It's basically nanochat LLM training core stripped down to a single-GPU, one file version of ~630 lines of code, then: - the human iterates on the prompt (.md) - the AI agent iterates on the training code (.py) The goal is to engineer your agents to make the fastest research progress indefinitely and without any of your own involvement. In the image, every dot is a complete LLM training run that lasts exactly 5 minutes. The agent works in an autonomous loop on a git feature branch and accumulates git commits to the training script as it finds better settings (of lower validation loss by the end) of the neural network architecture, the optimizer, all the hyperparameters, etc. You can imagine comparing the research progress of different prompts, different agents, etc. github.com/karpathy/autor… Part code, part sci-fi, and a pinch of psychosis :)
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Andrej Karpathy
Andrej Karpathy@karpathy·
nanochat now trains GPT-2 capability model in just 2 hours on a single 8XH100 node (down from ~3 hours 1 month ago). Getting a lot closer to ~interactive! A bunch of tuning and features (fp8) went in but the biggest difference was a switch of the dataset from FineWeb-edu to NVIDIA ClimbMix (nice work NVIDIA!). I had tried Olmo, FineWeb, DCLM which all led to regressions, ClimbMix worked really well out of the box (to the point that I am slightly suspicious about about goodharting, though reading the paper it seems ~ok). In other news, after trying a few approaches for how to set things up, I now have AI Agents iterating on nanochat automatically, so I'll just leave this running for a while, go relax a bit and enjoy the feeling of post-agi :). Visualized here as an example: 110 changes made over the last ~12 hours, bringing the validation loss so far from 0.862415 down to 0.858039 for a d12 model, at no cost to wall clock time. The agent works on a feature branch, tries out ideas, merges them when they work and iterates. Amusingly, over the last ~2 weeks I almost feel like I've iterated more on the "meta-setup" where I optimize and tune the agent flows even more than the nanochat repo directly.
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Roman Helmet Guy
Roman Helmet Guy@romanhelmetguy·
You do not live in quiet times. The next few decades will be either the most glorious or the most horrific in all of human history. Everything your ancestors lived and died for has either led up to this or been for nothing. Are you prepared?
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zerohedge
zerohedge@zerohedge·
Iran targets data center facilities operated by Microsoft in drone strikes: FT everyone hates copilot
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Luke Mlody@lmlody·
@signulll You can always submit a GDPR request to get your full data (from outside Europe as well).
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signüll
signüll@signulll·
i suspect openai is monitoring this prompt like a hawk on the dashboards & might even disable it for usage.
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signüll
signüll@signulll·
this is incredibly fascinating because initially we thought memory is a moat but is it just a file you can take with you? i suspect ppl aren’t going to do this at scale but very interesting to see this play out & stress tested.
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Luke Mlody
Luke Mlody@lmlody·
@QwQiao Keeping a large pool of sharp people was largely done to prevent them from working somewhere else—or starting something new. This is no longer a risk.
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qw@QwQiao·
i said to an ex-googler last month that thx to ai bigtech can double their margins overnight by firing 80% of the staff and still function well. his response: even before ai they could fire 80% and still function well. i nodded in agreement.
jack@jack

we're making @blocks smaller today. here's my note to the company. #### today we're making one of the hardest decisions in the history of our company: we're reducing our organization by nearly half, from over 10,000 people to just under 6,000. that means over 4,000 of you are being asked to leave or entering into consultation. i'll be straight about what's happening, why, and what it means for everyone. first off, if you're one of the people affected, you'll receive your salary for 20 weeks + 1 week per year of tenure, equity vested through the end of may, 6 months of health care, your corporate devices, and $5,000 to put toward whatever you need to help you in this transition (if you’re outside the U.S. you’ll receive similar support but exact details are going to vary based on local requirements). i want you to know that before anything else. everyone will be notified today, whether you're being asked to leave, entering consultation, or asked to stay. we're not making this decision because we're in trouble. our business is strong. gross profit continues to grow, we continue to serve more and more customers, and profitability is improving. but something has changed. we're already seeing that the intelligence tools we’re creating and using, paired with smaller and flatter teams, are enabling a new way of working which fundamentally changes what it means to build and run a company. and that's accelerating rapidly. i had two options: cut gradually over months or years as this shift plays out, or be honest about where we are and act on it now. i chose the latter. repeated rounds of cuts are destructive to morale, to focus, and to the trust that customers and shareholders place in our ability to lead. i'd rather take a hard, clear action now and build from a position we believe in than manage a slow reduction of people toward the same outcome. a smaller company also gives us the space to grow our business the right way, on our own terms, instead of constantly reacting to market pressures. a decision at this scale carries risk. but so does standing still. we've done a full review to determine the roles and people we require to reliably grow the business from here, and we've pressure-tested those decisions from multiple angles. i accept that we may have gotten some of them wrong, and we've built in flexibility to account for that, and do the right thing for our customers. we're not going to just disappear people from slack and email and pretend they were never here. communication channels will stay open through thursday evening (pacific) so everyone can say goodbye properly, and share whatever you wish. i'll also be hosting a live video session to thank everyone at 3:35pm pacific. i know doing it this way might feel awkward. i'd rather it feel awkward and human than efficient and cold. to those of you leaving…i’m grateful for you, and i’m sorry to put you through this. you built what this company is today. that's a fact that i'll honor forever. this decision is not a reflection of what you contributed. you will be a great contributor to any organization going forward. to those staying…i made this decision, and i'll own it. what i'm asking of you is to build with me. we're going to build this company with intelligence at the core of everything we do. how we work, how we create, how we serve our customers. our customers will feel this shift too, and we're going to help them navigate it: towards a future where they can build their own features directly, composed of our capabilities and served through our interfaces. that's what i'm focused on now. expect a note from me tomorrow. jack

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SightBringer
SightBringer@_The_Prophet__·
⚡️Most people are about to learn a brutal lesson about leverage. For 30 years, “screen work” got paid because humans were the only interface between messy reality and a decision. You translated ambiguity into action. You were the bottleneck. AI removes the bottleneck. Not someday. Not with AGI. Right now, with systems that are just good enough and getting embedded into every workflow. The first wave is headcount never getting rehired. It is one competent operator plus AI doing what a small team used to do. It is management quietly realizing they can cut the bottom half of knowledge work and nothing breaks. The second wave is worse. Once companies trust the workflow, they stop caring about the person. They care about the output, the audit trail, and the liability signature. So the job collapses into two tiers. Tier one is the signer. The person who owns the decision, owns the risk, and carries the blast radius. Tier two is everyone else. They become interchangeable and cheaper because the system can fill the gaps. That is what capitalism does with this. It converts labor into a commodity again. Wages compress. Promotions slow. Entry level dies first because training was the only reason entry level existed. People will call it a recession or a hiring cycle. It is a structural repricing of human time. The anger that follows is not optional. When enough people feel the squeeze, politics shows up. Regulation, licensing, taxes, disclosure, unionization, UBI experiments. So what is the plan for the bottom 99%. There is no plan. There is adaptation under pressure. Some people move into physical world work where deployment is slow and liability is high. Some people become operators who can command multiple agents and ship outcomes. Some people become creators with direct distribution and a niche that trusts them. Most people drift until the system forces them to change. The only durable edge is owning one of these. Distribution. Capital. Data. A customer. A risk signature. A workflow that prints money. If you do not own one, you will be priced like labor. And labor is about to get very cheap.
Peter McCormack 🏴‍☠️🇬🇧🇮🇪@PeterMcCormack

So many have no idea how much AI is going to shift the world over the next 18 months. Everyone who uses a screen can be replaced by an AI agent which is smarter, cheaper, faster, works 24/7, and requires no employment benefits. What do you think capitalism does with this?

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𝕱𝖔𝖗𝕷𝖔𝖔𝖕
𝕱𝖔𝖗𝕷𝖔𝖔𝖕@forloopcodes·
2026 ai bubble is peaking itself right now: someone just dropped a new benchmark on claude skills and the result of their paper is actually insane the paper explicitly states smaller models with skills beat larger models without them a smaller model like claude 4.5 haiku equipped with high quality skills smokes a raw state of the art opus 4.5 model by about 6 percent (27.7 vs 22.0) imagine getting sota level performance from a free model, its basically cheating, you just have to manually spoonfeed it a basic markdown file explaining how to do its job all of you opus guys are dumb, you can literally spam haiku with skills and get things shipped in 5x lesser time and 0 cost even wilder thing is that codex gpt 5.2 fails on the pareto frontier. codex burned massive compute and costs, just to get completely mogged by gemini 3 flash hitting maximum performance at a fraction of cash i can believe skill engineering is now a valid, mathematically proven substitute for compute over that, it says self generated skills provide zero benefit on average and show negative deltas on 16/84 tasks. if you give an agent more than 3 skills at once, it bloats its context and completely fails
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kepano
kepano@kepano·
skill files are distilled thinking don't import thinking that you don't understand
kepano@kepano

Don't delegate understanding There is a parasite, I see it everywhere. It consumes your health and wealth. It preys on ignorance and is easy to catch. It’s so common you may not even notice you have it. The parasite has a simple and attractive proposition: let me take care of this hard thing for you. Trust me, I know better. Instead of understanding it yourself, you choose to give the parasite control over your health, education, money, housing, business, identity, data, infrastructure, climate, justice. Even your beliefs. The parasite has three stages: acceptance, extraction, intervention. First is acceptance. Everyone else seems to have the parasite already. You are expected, even encouraged, to accept the parasite into your life. You are invited to follow the norm, outsource, consume. It’s okay! Use all the services and amenities. Satisfy your desires. Eat the cheap food, watch the cheap media. Your money and time are meant to be spent. Show off what you got in exchange. Please do not try to understand how it works, it’s too complicated for you. The parasite wants you fattened. Literally and figuratively. You are paying the parasite for the privilege of being ripened. Second is extraction. Under the influence of the parasite, you have developed unhealthy habits and you are suffering the consequences. Stress, anxiety, obesity, disease, ignorance, fear, lethargy, decay. To dampen these problems you pay the parasite for help — support, medicine, loans, fines, rent, taxes. Enforcement of some homeostasis. You try to abate the issues, but you don’t have a stable foundation to build on. You have ignored the root causes. The parasite thrives. You are paying the parasite to be harvested, milked, sucked dry. Third is intervention. The side effects of the parasite’s extraction have reached a critical level. The parasite tells you it’s an emergency. You need doctors, lawyers, firefighters, a military effort. You’re in a surgery room, a court room, a psychiatric ward, a jail cell. The disease can no longer be controlled, it has festered. The flame has turned into a raging fire that needs to be put out. You are paying the parasite to go back to square one. The three stages of the parasite are interdependent. Every stage benefits someone who is not you. Everyone tells you this is just the way it is. Never mind that the parasite is living large. Why? Extraction and intervention pay well. Education and prevention do not. The incentives are aligned to make the parasite persuasive. You are alone against a coordinated system that is exceedingly effective at packaging problems you should never have with solutions you should never need. A symbiotic loop. You must recognize the parasite in its earliest form. To inoculate yourself don’t delegate understanding. If you build your own understanding you will be the one who earns the dividends.

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Khavi
Khavi@1960dude·
Okay Claude, now add payment intergration.
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