Aleksander Bielinski retweeted
Meet Mistral Large 4, aka Le Chonk.
• 1T parameters, natively multimodal. 49B active.
It is the best open weights model from US or Europe on aggregated benchmarks.
• State-of-the-art on critical workloads, including cyber defense, manufacturing and finance and it surpasses closed frontier models on visual grounding.
• Forged in Europe end-to-end and is deployable from Europe via our own Mistral Cloud infrastructure.
• Available to all via API today. Working with cybersecurity partners privately.
Open weights release end of October.
🤖 Made with AI
Serdeczne Gratulacje dla @NawrockiKn z osiągnięcia A3! Może za rok wskoczymy na B ale przynajmniej będziemy silni i prawi!
As you can see the system works perfectly as intended
BREAKING: Trump Media has officially launched its new paid data service, providing faster access to Truth Social posts from President Trump.
The new service is called "Truth API" which gives firms "a direct, licensed, real-time feed of the platform’s most market-moving Truths," the company's CEO said in a press release.
The service reportedly costs as much as $100,000/month.
Genuinely amazing reading the reactions to the US bad on Fable and Mythos. Like it’s anything else than a marketing play. People really think it’s a catch up game? They had these models at disposal months ago and they knew exactly what they are capable of. 1/2
Train WiFi will never cease to amaze me. Load a short video on yt? No way, not in a million years. Download the 1.5Gb model from hugging face? Sure no problem, here is 120mb/s for you.
Before you is the ultimate “job taker 3000” designed to take all of your jobs. The additional benefit is biggest market rally in a decade.
Aleksander Bielinski retweeted
This is the beginning of the end for European science. A longstanding conjecture in mathematics - the unit distance problem - has been resolved by an INTERNAL OpenAI model. In other words, no one here in Europe had the slightest chance to prompt this model in search of this or other scientific discoveries. The trend of making models available to selected parties only will continue, similar to the case with Mythos, which was only made available to a few selected institutions for cybersecurity screening.
I have been saying for a few years already that AI will redefine scientific discovery and accelerate innovation, but this has not led to a major shift in approach here in Poland, nor has Europe taken a strong stance. We have no European LLMs capable of supporting scientists in their work, whereas the USA is moving toward a scenario of restricted access to their solutions. Seeing the capabilities of the new models, China will undoubtedly follow suit. In the long term, this will have a dramatic impact on scientific productivity here in Europe.
🤖 Made with AI
Aleksander Bielinski retweeted
Poszukujemy Głównego Specjalisty BT – Lidera Zespołu Robotyczno-Dronowego 🚀
To rola dla osoby, która chce łączyć świat badań naukowych, AI oraz nowoczesnych systemów autonomicznych. Jeśli masz doświadczenie w robotyce, systemach dronowych i potrafisz budować oraz prowadzić zespoły badawczo-inżynieryjne. 👇
🔍 Zakres działań:
• kierowanie zespołem badawczo-inżynieryjnym w obszarze robotyki i systemów dronowych
• definiowanie i realizacja agendy badawczej w zakresie AI dla systemów autonomicznych
• projektowanie oraz nadzór nad architekturą systemów (percepcja, planowanie, sterowanie)
• inicjowanie i prowadzenie projektów badawczo-rozwojowych w Polsce i za granicą
• rozwijanie współpracy naukowej i przemysłowej oraz pozyskiwanie grantów
• publikowanie wyników badań na renomowanych konferencjach i w czasopismach naukowych
• mentoring młodszych naukowców, doktorantów i inżynierów
• nadzór nad integracją algorytmów AI z platformami robotycznymi i dronowymi
🎯Szukamy osoby, która:
• ma doświadczenie badawcze w obszarze AI, robotyki lub systemów autonomicznych
• posiada doświadczenie w prowadzeniu zespołów lub projektów naukowo-badawczych
• bardzo dobrze zna metody AI/ML (m.in. computer vision, SLAM, reinforcement learning)
• zna zagadnienia robotyki mobilnej i/lub systemów bezzałogowych
• potrafi łączyć działalność naukową z projektami wdrożeniowymi
• posiada dorobek publikacyjny w renomowanych konferencjach i czasopismach
• swobodnie komunikuje się w języku angielskim (min. C1) mile widziane: doświadczenie z ROS/ROS2, Gazebo, AirSim, LiDAR i systemami sensorycznymi
💡 Oferujemy możliwość pracy przy przełomowych projektach związanych ze sztuczną inteligencją i systemami autonomicznymi w dynamicznym środowisku badawczo-naukowym.
👉 Szczegóły i aplikacja: pracuj.pl/praca/glowny-specj…
Roje dronów i sztuczna inteligencja w służbie Wojska Polskiego 🪖🛡️
Instytut Badawczy IDEAS zacieśnia współpracę z @MON_GOV_PL . W planach m.in. budowa specjalistycznego zespołu ds. systemów autonomicznych i tworzenie cyfrowych bliźniaków rzeczywistości.
Główne wyzwanie?
Stabilne finansowanie strategicznych projektów.
Szczegóły projektów w artykule @rogalewiczmik ⬇️
[link w komentarzu]
#AI #WojskoPolskie #Technologie #Drony #CyberSecurity
@CyberWojska @MolendaKarol @MChmielewskiMIL @piotrsankowski @KosiniakKamysz @CTomczyk @WarNewsPL1 @Defence24pl
fot. CyberDefence24 / Canva
Yann LeCun says you cannot build a reliable agentic system without a world model
LLMs don't have world models. They can't predict the consequences of their actions before taking them
"they just act, and whatever happens next is someone else's problem"
Without that, it's not intelligence
Aleksander Bielinski retweeted
Neural networks might speak English, but they think in shapes.
Understanding their rich *neural geometry* is key to understanding how they work – and to debugging and controlling them with precision.
Starting today, we’re releasing a series of posts on this research agenda. 🧵
Aleksander Bielinski retweeted
Had a Jane Street interview in 2014
Round 7. Interviewer says 'meet me at Washington Square Park, southwest corner, 2 PM.'
I show up. He's playing chess with a guy who's clearly hustling tourists. Interviewer's losing badly.
Without looking up he says, 'Take my position.'
I sit down. The chess hustler looks at me and grins. 'Your boy owes me $40. You covering his position?'
I look at the interviewer. He nods.
'Assume the debt,' he says. 'Now optimize.'
I study the board. I'm down a queen and two rooks. Completely hopeless.
'This position is unwinnable,' I say.
'Correct. Now make it profitable.'
'What?'
The chess hustler is getting impatient. 'You playing or what, kid?'
The interviewer slides me a $20. 'Market make this game.'
I'm confused. 'How do I market make chess?'
'Bid-ask on the number of moves until checkmate. Hustler takes the under, you take the over. Spread is your edge.'
I look at the position again. Maybe 8 moves max until I'm mated.
'I bid 12 moves, offer 15,' I announce.
The hustler laughs. 'I'll take the under on 12 all day.'
'Done,' says the interviewer. 'You're now short volatility on a deterministic outcome.'
Three moves later I'm checkmated. I owe the hustler $40 plus my $20 bet.
'How confident were you in that 12-move bid?' the interviewer asks.
'0.95,' I say, because that's what you always say.
'0.95 huh?' He chuckles. 'You just sold insurance on the Titanic.'
He stands up. 'The real trade was shorting your confidence and going long on the hustler's experience. You missed the obvious hedge: offering chess lessons to tourists at $25/hour while the game played out.'
'But I don't know how to play chess well enough to teach.'
'Exactly. That's called selling vol you don't have. Very Jane Street.'
Offer rescinded. Reason: 'Failed to recognize that the park itself was the market and the pigeons were the only rational actors.'"
Jane Street made ~$40B in 2025 with 3,500 employees, a ~2x from the year before.
At ~65-70% profit margin, that's $8M profit / employee, the highest for a 1000+ ppl company. High-frequency trading continues to be the most efficient money making engine.
I want to share an old story about my Jane Street interview in 2014. Jane Street was known for hiring a lot of math, physics and CS olympiad winners from top universities and putting them through many rounds - including, for trading roles, a gauntlet of mental math. It was my 6th interview and my final round and I recall being asked "What is the next day after today in DD/MM/YYYY where all the digits are unique?" They'd toy with you and say "You can use a pencil and paper, if you want" but you knew that was an instant no. Painstakingly and as quickly as I could, I came to an answer. "How confident are you that this is correct on a 0-1 probability scale?" the interviewer said. "0.95", I blurted out, not fully knowing how to answer that. "Are you sure?" After thinking harder for a few more seconds, I realized I could've flipped the digits around to get a closer date. I gave the interviewer my answer. It was correct. "0.95 huh?" he chuckled. That's when I knew I failed.
Note: fwiw, other companies that come close in efficiency are
- Tether ($90M+ profit/emp)
- Hyperliquid ($80M+ profit/emp)
and on revenue:
- Valve ($50M/emp)
- OnlyFans ($37M/emp)
- Craigslist ($14M/emp)
- Anthropic ($12M/emp, run rate)
- OpenAI ($8M/emp, run rate)
For comparison, Nvidia is very efficient at scale and is $4.4M/emp.
Aleksander Bielinski retweeted
How did a random guy go
Live with a goal of $10k towards cancer and ended with $45 million dollars raised.
Like genuinely how.


















