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I'm becoming more and more, pro small models btw, there's nothing better than 1-3b models which can run in your pocket.
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Andrej Karpathy:
“A 1B model can be much more effective than most current LLMs.
90% of current models waste a ton of capacity and money on remembering stuff that doesn’t matter.”
here is his 5 core thesis about Small LLM’s:
1. the intelligence was never the knowledge. Strip the memorized internet, keep the reasoning. What’s left is the cognitive core, and it’s small.
2. the core might fit in ~1B params. Maybe less. “Plenty of room at the bottom.” We’ve been paying for a library when we needed a brain.
3. size stopped being the bottleneck. What makes an agent work is the tools it can call and how tight the feedback loop is, not parameter count.
4. intelligence lives in the system, not the weights. A raw LLM is a CPU with no OS. Small core + good harness > giant model alone.
5. you can own it. A model on your hardware is one no one can rate-limit, price-hike, or deprecate on you.
in 12 months the gap between teams shipping on-device and teams paying per-token frontier bills won’t be capability.
TwIL an 8.8B model at 90%+ of frontier isn’t a benchmark flex.
It’s the thesis Karpathy’s been repeating all year, made real.
study more on this below ↓
Modest intelligence is arriving faster than most people realize.
Today, we're open-sourcing TwIL-8B.
Just 8.8 billion parameters, yet approaching frontier-model scores on several difficult benchmarks:
• 93% of frontier performance on coding
• 92% on instruction following
• 90% on contest mathematics
All from a model small enough to run on your own hardware.
But the benchmarks aren't the most important part of this announcement.
For years, the AI industry has focused on building the most capable model, regardless of the cost required to run it.
I believe that equation is changing.
The next era of AI will be defined by the cost of completing work. Not simply the intelligence of the model, but how efficiently that intelligence can accomplish the task.
If a model with 8 billion parameters can reliably complete the same work as one with hundreds of billions, why pay for the larger model?
As smaller models become more capable, intelligence becomes something we can distribute, specialize, and run across the hardware we already own.
That's the future we're building at @thewebAI
TwIL-8B is available today. Open weights.
And this is just the first of several announcements we're making today.
HF Link: huggingface.co/webAI-Officia…
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Aman Upadhyay retweeted
Today @WSJ covered our work with @MercedesBenz. our flagship LFMs are now rolling out in vehicles in North America, running directly on the hardware inside the car to power in-car assistance! 🌊
this is one of the first deployments of local generative AI in the real world at scale! ✨
seeing our technology become part of someone’s everyday life is one of the most rewarding feelings of building Liquid.
years of work become a small, useful part of someone’s day. they don’t need to know which model is running. they just need it to understand them and work seamlessly.
this is really hard and it took us years of fundamental work from first principles to made happen with a brilliant team of engineers from Mercedes and Liquid.
I believe on-device AI will fundamentally change our relationship with the technology around us. embedded AI is about change of ownership.
With Mercedes-Benz, we are now in production and are building toward deployment at scale. The on-device AI revolution is taking shape in products people actually use, and I’m proud that @liquidai is helping lead it.
To our team and our partners at @MercedesBenzUSA and HQ: thank you for the care, persistence, and trust it takes to make this real.
It feels good to see the work out in the world.
wsj.com/cio-journal/mercedes…
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Aman Upadhyay retweeted
#Dubai will soon allow travelers to apply for visas directly through the official Visit Dubai Portal.
Single and Multiple Entry Tourist Visas can be applied. More categories will be added in the future.
visitdubai.com/en/plan-your-…
You can register your interest to get notified once they start the same.
#DakuVisaUpdates
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Aman Upadhyay retweeted
Comunicado Oficial: Rafael Nadal.
realmadrid.com/es-ES/noticia…
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Hello, Ram bhai. Jai Shri Krishna
People should always be in control of the future.
OpenAI is against the notion that it would be acceptable for people to be relegated to a role of doing things that “AI systems think makes sense to reward in humans”.
People should not cede control of the future to superintelligence, and that requirement should ultimately constrain AI progress.
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Tired of this rate limits Scam Saltman, it's not even 5 min task. Jis din Paisa aayega na gpus k racks pe qwen aur deepseek chalaunga yaad rakhna.
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There was a time when I had opinions to share about everything on twitter and now I just open scroll through few tweets and that's it.
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Aman Upadhyay retweeted
Rotos de dolor, con un nudo en la garganta y sin poder creer que esto sea verdad, desde el CD Tenerife comunicamos el trágico fallecimiento, este martes, día 3 de noviembre de 2026, a las 8:00 horas, de Jesús de Miguel Alameda.
No hay palabras de consuelo; no hay absolutamente nada que mitigue este sentimiento repleto de tristeza. Estamos junto a su desolada familia, junto a sus seres queridos, junto a todo el tinerfeñismo que hoy llora por este cruel desenlace.
La familia de Jesús de Miguel agradece todas y cada una de las muestras de apoyo recibidas, e igualmente solicita, de corazón, máximo respeto a su privacidad, en estos terribles momentos.
🖤 DEP
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Aman Upadhyay retweeted
15 saal pehle patri pe hagte they aur aaj bullet train ki manufacturing ho rahi. 2029 haare toh laanat hai humpe
Turn up the Volume!
🚅 Bharat’s Bullet Train is taking shape.
#Bharat_BulletTrain
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