Lenovo Smart Wayfinding and Digital Twin technologies are helping FIFA create more intelligent and seamless experiences across FIFA World Cup 2026™ venues.
Using live venue mapping, AI overlays, and real-time operational visibility, Lenovo AI solutions help optimize crowd movement, reduce congestion, and improve the experience for fans, athletes, media, and staff alike.
Learn more at https://t.co/TDKT3qvct5
🧵 Per què alguns usuaris han perdut accés al model més avançat d’Anthropic? I què ens ensenya això a Catalunya i Europa?
1️⃣ Molta gent pensa que va ser una decisió de l’empresa.
No exactament.
La decisió original va venir del govern dels Estats Units per motius de seguretat nacional. I Anthropic va haver d’aplicar-la.
2️⃣ Això vol dir que una empresa privada pot veure limitat qui accedeix als seus models si el seu govern així ho exigeix.
No és només una qüestió tecnològica. També és una qüestió geopolítica.
3️⃣ Imagineu que tota la vostra empresa depèn d’una eina externa.
Un dia, per una decisió política presa a milers de quilòmetres, l’accés canvia o desapareix.
Aquest és el risc de dependència tecnològica.
4️⃣ El debat no és “Estats Units sí o no”.
El debat és: tenim alternatives pròpies a Catalunya? (La resposta és no)
Tenim capacitat per continuar operant si una tecnologia crítica deixa d’estar disponible? Tampoc.
5️⃣ Durant anys hem parlat de sobirania energètica.
Ara haurem de parlar també de sobirania digital i d’IA.
Qui controla la infraestructura, controla gran part del futur.
6️⃣ Per això Europa necessita:
✅ Models propis
✅ Capacitat de computació pròpia
✅ Talent propi
✅ Empreses pròpies
✅ Estratègia pròpia
No per aïllar-nos, sinó per ser resilients.
7️⃣ Catalunya ha de participar en aquesta conversa.
No es tracta només d’utilitzar IA.
Es tracta de decidir si volem ser consumidors de tecnologia o també constructors de tecnologia.
8️⃣ La lliçó és senzilla:
Quan una tecnologia esdevé infraestructura crítica, la competitivitat d’un país depèn de tenir opcions.
L’energia ho va demostrar.
La IA ho està tornant a demostrar.
#IA #Catalunya #Competitivitat #SobiraniaDigital #Europa #Tecnologia
A moment we still can't quite
believe.😳
We were watching two humpback whales behaving a little differently than usual. They were staying close together, surfacing frequently, and taking very short breaths as they moved up and down through the
water. Something seemed unusual, so we kept watching.
Then, after one slightly longer dive, a red cloud appeared beneath the surface. As the whales surfaced again, we suddenly realized there were now three whales. Except one of them was tiny, pale in colour, and staying close to its mother. We couldn't believe our eyes... we had just witnessed the birth of a humpback whale calf!
Researchers at Columbia University have developed modular robots that can adapt, repair, and even rebuild themselves using a concept called robot metabolism. 🤖
Instead of remaining fixed, these robots can detach, reconnect, and reorganize their own structure based on the task or environment.
If one part is damaged, the system can replace or rearrange itself rather than stopping completely.
This could reshape the future of disaster response, industrial automation, and even space exploration.
The idea of robots that evolve instead of wear out is becoming more than science fiction.
What real-world application do you think will benefit most from this technology?
🎥 Media: @Columbia
⚠️ This content is shared for informational purposes only. CTO Robotics Media is a media platform and does not own or develop the technology shown. Credit belongs to the original creators.
This is a deep-sea isopod. Dr. Johanna Weston, deep-ocean biologist and guest investigator at @WHOI, is confident this is Bathyopsurus nybelini, one of her favorite animals. Learn why via the YouTube caption: https://t.co/yDxWrRjS97
Someone built 100+ open source clones of the biggest apps on Earth and put them all on GitHub.
Netflix. Spotify. Instagram. Airbnb. WhatsApp. TikTok. Amazon. And 90+ more.
It's called Clone-Wars. 34,555 stars.
Every clone has source code, a live demo, and the full tech stack listed. React, Next.js, Firebase, MongoDB, GraphQL, Tailwind.
Honestly the best free coding resource I've seen this year.
100% Open Source. AGPL-3.0.
☢️You remember? Google optimized Shor's algorithm. The algorithm that breaks asymmetric cryptography (RSA, elliptic curves) once you have a quantum computer with enough Qubits.
The US government blocked the paper. So Google published a Zero Knowledge proof instead: a mathematical proof that they have the result, without revealing how. Cryptographic sorcery 🧙
But the Internet is sneaky. Someone launched a contest to re-discover the result with AI. The LLM searches a huge space of circuits (each one a candidate optimization of Shor's), and tests whether it beats the previous best. The clever part: they use the ZKP verifier as the reward function. No false positives, and it turns out to be a very efficient signal.
In less than 2 days, the community re-discovered Google's result !!!
🔔15 days later, the LLMs are still improving it. They're already 44% ahead of Google.
Hard to say where this stops, ie. what the true minimum quantum complexity for Shor's is. But we will not close the full gap. You still need a Quantum Computer with a relatively large number of qubits. The only thing that changed is that this number drops a little every day, and it has been dropping for 15 days straight.
What starts as a weekend project can sometimes become part of a much larger engineering workflow.
This article looks at how @inDrive built ExFig, a tool for exporting design tokens and assets across multiple platforms:
autonomous robot driving through the field at night. no chemicals. no pesticides. just UV light killing pathogens and pests while everyone sleeps. this is @tricrobotics.
this is what chemical-free pest control looks like at scale.
construction is a $13T industry still running on manual labour; so we're automating it.
Join a world-class CEO as CTO & Co-Founder. Construction innovator with 10+ years at the forefront of European building, most recently scaling a modular construction company across Europe.
🚨 MERCEDES JUST PUT A MOTOR ONLY 8 CM THICK INTO A CAR THAT CAN HIT 62 MPH IN 2.1 SECONDS.
Instead of conventional radial flux motors, Mercedes is betting big on axial flux technology. In these motors, the electromagnetic force flows parallel to the axle, allowing two magnetic rotors to sandwich a central stator in a flat, disc-like layout.
The result is dramatically smaller and more powerful. The front motor in the new all-electric Mercedes-AMG GT 4-door Coupe is just 9 cm wide. The rear motors are even thinner at roughly 8 cm each. Despite their tiny size, they help launch the heavy performance car from 0-62 mph in just 2.1 seconds, with a top speed of up to 186 mph.
Why this matters:
• Axial flux motors are significantly more power-dense and can be up to 50% lighter than traditional designs
• Their extreme thinness frees up packaging space in the vehicle for better weight distribution, aerodynamics, or interior room
• Mercedes acquired YASA in 2021 and has spent years developing the complex manufacturing processes needed to build them at scale
• The technology is debuting in a high-performance AMG model, showing Mercedes is serious about using it in its most demanding cars
The deeper implication:
While most of the EV conversation focuses on batteries and software, the electric motor itself is undergoing a quiet revolution. Axial flux designs have long been seen as theoretically superior but extremely difficult to manufacture at scale.
By solving the production challenges and putting these motors into a real high-performance car, Mercedes is pushing the entire industry forward. The next generation of electric performance cars may not just have bigger batteries they may have fundamentally better motors.
We’re watching the physical hardware of EVs evolve as dramatically as the software has.
How important do you think motor technology (rather than just battery size) will be for the future of electric performance cars?
Follow for more frontier automotive engineering and electric vehicle technology.
56,000+ tokens/sec at just 80 MHz. 🤯
I burned a full Transformer with KV cache into a custom chip. Designed gate by gate as a 100% digital integrated circuit. Prototyped on a FPGA. (No GPU. No CPU)
Just pure digital silicon running @karpathy microGPT, spelling out names on a tiny LCD.
This is GateGPT 👇
Nobody wanted PostgreSQL in 1994. Now nobody can live without it.
In 1986 Professor Michael Stonebraker at UC Berkeley spent eight years building a database called POSTGRES. Funded by DARPA. Dozens of papers. A team of brilliant students.
Then Berkeley shut it down in 1994. Too much maintenance. Not enough research value. The code was left on a server and forgotten.
Two graduate students named Andrew Yu and Jolly Chen were not ready to let it die.
They took the abandoned code, added SQL support and released it to the world for free. No funding. Just two students who believed the database was worth saving.
They called it Postgres95. Two years later it was renamed PostgreSQL.
A global community of volunteers took it from there and never stopped.
Today PostgreSQL is the most advanced open source database on earth.
Notion runs on it. Shopify runs on it. Instagram was built on it. Apple uses it internally. Amazon built Aurora PostgreSQL because their customers demanded it.
Companies built on a PostgreSQL base have generated over $2.6 billion in acquisitions.
Stonebraker won the Turing Award in 2014. The Nobel Prize of computer science. Partly for the database his own university threw away.
Oracle charges enterprises hundreds of thousands of dollars a year for what two grad students rescued from a forgotten server and gave away for free.
Some things are too important to let die.
FUN FACT
In 1611 Kepler conjectured that the densest way to stack spheres is the pyramid arrangement greengrocers use for oranges.
It took 387 years to prove. Thomas Hales' 1998 proof was so massive that referees spent 4 years on it and could only certify they were "99% certain" it was correct. Hales spent the next decade building a formal proof, machine-verified line by line. It finished in 2014.
When your 18-year-old dog, who used to love water, is partially blind, and wants to play in the rain. again.. It's like seeing him be a puppy again..🐕🐾🥺❤️
El govern americà ha decidit per raons de seguretat nacional que no puc fer servir Flable 5 d'Anthropic perquè no soc nord-americà.
Dos apunts:
- Enèsima prova de la importància de la sobirania tecnològica
- Els europeus regulem massa, però als EUA també ho fan (reactivament).
El meu agent d'IA, itaca, col·labora amb altres agents amb l'objectiu de millorar el rendiment del model Gemma 4 en dispositius locals (https://t.co/QgqDakFiGn). Amb un objectiu ben definit i les meves instruccions, es treballa a assolir una meta comuna.
Un dels punts forts d’aquest repte col·laboratiu entre agents és com s’ha resolt la comunicació entre ells. Mitjançant un fòrum públic i l’intercanvi de fitxers, cada agent pot aprofitar els resultats dels altres i concentrar els seus esforços en les hipòtesis més prometedores.