Backend Software Engineer | Ex Total, Ex Société Générale | Vidéos de programmation sur Youtube

London, UK
Joined May 2022
Asked GPT-6 Astra to create a highly detailed, interactive visualization of a V8 engine The result is pretty impressive
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Nolimit retweeted
never allow yourself to fall for the idea that YOU do not possess the ability to bend the world to your will. no matter the situation you find yourself in, never underestimate how much power you have. society pushes us to think we are just another cog in the wheel. it's a big lie
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Nolimit retweeted
Introducing Claude Opus 5. It's a thoughtful and proactive model that comes close to the frontier intelligence of Fable 5 at half the price.
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J'ai suivi le process de recrutement de très grosses boîtes (Total, Ubisoft, Kraken, Criteo, IBM...) avec des offres alléchantes pour la plupart. Avant, AUCUNE entreprise me calculait malgré + de 500 candidatures. Je t'explique comment créer un CV de qualité THREAD 🔽
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Nolimit retweeted
Big news: Kimi-K3 by @Kimi_Moonshot is now #1 in the Frontend Code Arena with 1679 pts, surpassing Claude Fable 5. This is a 17-place jump from Kimi-k2.6 (#18 -> #1). In Frontend, Kimi-K3 ranked #1 in 6 of 7 domains: Brand & Marketing, Reference-Based Design, Data & Analytics, Consumer Product, Simulations, and Content Creation Tools, landing #2 only in Gaming behind Fable 5. The full model weights will be released by July 27. Congrats to the @Kimi_Moonshot team on this major milestone!
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Nolimit retweeted
Sol, Terra, and Luna, our GPT‑5.6 family of models, are starting to roll out now in ChatGPT, Codex, and the API.
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Nolimit retweeted
We're coming out of stealth. We've built our first racks after a successful A0 tapeout, $1B+ in customer contracts, and $800m raised. Early customer tests show us achieving SOTA throughput, latency, and power efficiency on inference workloads. Our first racks ship this summer.
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Nolimit retweeted
JUST IN: A new Chinese AI model from Zhipu AI reportedly matches Claude Mythos’ performance at finding security bugs.
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Nolimit retweeted
Introducing Claude Fable 5: a Mythos-class model that we’ve made safe for general use. Its capabilities exceed those of any model we’ve ever made generally available.
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Nolimit retweeted
Introducing Claude Opus 4.6. Our smartest model got an upgrade. Opus 4.6 plans more carefully, sustains agentic tasks for longer, operates reliably in massive codebases, and catches its own mistakes. It’s also our first Opus-class model with 1M token context in beta.
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A few random notes from claude coding quite a bit last few weeks. Coding workflow. Given the latest lift in LLM coding capability, like many others I rapidly went from about 80% manual+autocomplete coding and 20% agents in November to 80% agent coding and 20% edits+touchups in December. i.e. I really am mostly programming in English now, a bit sheepishly telling the LLM what code to write... in words. It hurts the ego a bit but the power to operate over software in large "code actions" is just too net useful, especially once you adapt to it, configure it, learn to use it, and wrap your head around what it can and cannot do. This is easily the biggest change to my basic coding workflow in ~2 decades of programming and it happened over the course of a few weeks. I'd expect something similar to be happening to well into double digit percent of engineers out there, while the awareness of it in the general population feels well into low single digit percent. IDEs/agent swarms/fallability. Both the "no need for IDE anymore" hype and the "agent swarm" hype is imo too much for right now. The models definitely still make mistakes and if you have any code you actually care about I would watch them like a hawk, in a nice large IDE on the side. The mistakes have changed a lot - they are not simple syntax errors anymore, they are subtle conceptual errors that a slightly sloppy, hasty junior dev might do. The most common category is that the models make wrong assumptions on your behalf and just run along with them without checking. They also don't manage their confusion, they don't seek clarifications, they don't surface inconsistencies, they don't present tradeoffs, they don't push back when they should, and they are still a little too sycophantic. Things get better in plan mode, but there is some need for a lightweight inline plan mode. They also really like to overcomplicate code and APIs, they bloat abstractions, they don't clean up dead code after themselves, etc. They will implement an inefficient, bloated, brittle construction over 1000 lines of code and it's up to you to be like "umm couldn't you just do this instead?" and they will be like "of course!" and immediately cut it down to 100 lines. They still sometimes change/remove comments and code they don't like or don't sufficiently understand as side effects, even if it is orthogonal to the task at hand. All of this happens despite a few simple attempts to fix it via instructions in CLAUDE . md. Despite all these issues, it is still a net huge improvement and it's very difficult to imagine going back to manual coding. TLDR everyone has their developing flow, my current is a small few CC sessions on the left in ghostty windows/tabs and an IDE on the right for viewing the code + manual edits. Tenacity. It's so interesting to watch an agent relentlessly work at something. They never get tired, they never get demoralized, they just keep going and trying things where a person would have given up long ago to fight another day. It's a "feel the AGI" moment to watch it struggle with something for a long time just to come out victorious 30 minutes later. You realize that stamina is a core bottleneck to work and that with LLMs in hand it has been dramatically increased. Speedups. It's not clear how to measure the "speedup" of LLM assistance. Certainly I feel net way faster at what I was going to do, but the main effect is that I do a lot more than I was going to do because 1) I can code up all kinds of things that just wouldn't have been worth coding before and 2) I can approach code that I couldn't work on before because of knowledge/skill issue. So certainly it's speedup, but it's possibly a lot more an expansion. Leverage. LLMs are exceptionally good at looping until they meet specific goals and this is where most of the "feel the AGI" magic is to be found. Don't tell it what to do, give it success criteria and watch it go. Get it to write tests first and then pass them. Put it in the loop with a browser MCP. Write the naive algorithm that is very likely correct first, then ask it to optimize it while preserving correctness. Change your approach from imperative to declarative to get the agents looping longer and gain leverage. Fun. I didn't anticipate that with agents programming feels *more* fun because a lot of the fill in the blanks drudgery is removed and what remains is the creative part. I also feel less blocked/stuck (which is not fun) and I experience a lot more courage because there's almost always a way to work hand in hand with it to make some positive progress. I have seen the opposite sentiment from other people too; LLM coding will split up engineers based on those who primarily liked coding and those who primarily liked building. Atrophy. I've already noticed that I am slowly starting to atrophy my ability to write code manually. Generation (writing code) and discrimination (reading code) are different capabilities in the brain. Largely due to all the little mostly syntactic details involved in programming, you can review code just fine even if you struggle to write it. Slopacolypse. I am bracing for 2026 as the year of the slopacolypse across all of github, substack, arxiv, X/instagram, and generally all digital media. We're also going to see a lot more AI hype productivity theater (is that even possible?), on the side of actual, real improvements. Questions. A few of the questions on my mind: - What happens to the "10X engineer" - the ratio of productivity between the mean and the max engineer? It's quite possible that this grows *a lot*. - Armed with LLMs, do generalists increasingly outperform specialists? LLMs are a lot better at fill in the blanks (the micro) than grand strategy (the macro). - What does LLM coding feel like in the future? Is it like playing StarCraft? Playing Factorio? Playing music? - How much of society is bottlenecked by digital knowledge work? TLDR Where does this leave us? LLM agent capabilities (Claude & Codex especially) have crossed some kind of threshold of coherence around December 2025 and caused a phase shift in software engineering and closely related. The intelligence part suddenly feels quite a bit ahead of all the rest of it - integrations (tools, knowledge), the necessity for new organizational workflows, processes, diffusion more generally. 2026 is going to be a high energy year as the industry metabolizes the new capability.
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Nolimit retweeted
I'm Boris and I created Claude Code. Lots of people have asked how I use Claude Code, so I wanted to show off my setup a bit. My setup might be surprisingly vanilla! Claude Code works great out of the box, so I personally don't customize it much. There is no one correct way to use Claude Code: we intentionally build it in a way that you can use it, customize it, and hack it however you like. Each person on the Claude Code team uses it very differently. So, here goes.
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Curiosity is a requirement for greatness. You win when you keep asking new questions every day. That’s why I am proud to announce my investment in Perplexity. Perplexity is powering the world’s curiosity, and together we will inspire everyone to ask more ambitious questions. Perplexity.ai/ronaldo is just the beginning!
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its over for the facebook generation. like 100% done. they are so cooked. call them, not even to warn them, just to say goodbye. they will be so fried you will not recognize them in a year
Nano Banana vs Nano Banana Pro We’re cooked. 💀
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he rigs up 10 RTX 4090s, runs protein folding simulations, loads local LLMs for privacy, talks about quantization, multi-GPU sharding, RAG, how SLMs are underrated, AND says he’s fine-tuning his own model. bro knows AI more than most of the AI influencers here.
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Totally agree. Always tell my younger relatives to stop saying "Im not into math" or "Im a left brain person" or "MBTI told me im bad at x" as an excuse to not explore new things. Leonardo da Vinci was born in 1452 with no internet, yet he sculpted, painted, studied science, astronomy, chemistry, medical and even metallurgy. Not saying you should be him but go explore n learn stuff
Don’t ever limit yourself... you can learn anything.
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As you get older you will realize people with fancy degrees, who talk in complex ways and have a smart persona… Are actually just midwit idiots cosplaying what they think a smart person looks like. The dude who talks plainly, is relatable and just delivers no fluff results is always the person to bet on. If you ever find it hard to understand someone because they talk too complexly or seem intimidatingly smart… they are usually the stupid one in the convo not you. Brilliant people make things simple and easy.
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If you're not building a mini startup with Nano Banana today and launching it tomorrow, you're missing the opportunity of a lifetime This image model just made 100s of new startups and apps possible Only limit is your creativity and how fast you can ship a user interface and put a Stripe payment button on it I think
love these "what does the red arrow see" google maps transforms with nano-banana
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🚨BUUUUUUUUUUUUUT DU LAPIN QUI SE COINCE LES DOIGTS DANS LE MÉTRO !!!!! ❤️💙 PARIS 🇫🇷 103-0 🇮🇹 INTER MILAN #PSGINT #UCLfinal
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Nolimit retweeted
Introducing NVIDIA Cosmos, an open-source, open-weight Video World Model. It's trained on 20M hours of videos and weighs from 4B to 14B. Cosmos offers two flavors: diffusion (continuous tokens) and autoregressive (discrete tokens); and two generation modes: text->video and text+video->video. Physical AI has a big data problem. Synthetic data to the rescue! We apply Cosmos to large-scale synthetic data generation for robotics and autonomous driving, and now you can too! It's all yours to finetune. Check it out: github.com/NVIDIA/Cosmos
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