A couple reflections on the quantum computing breakthrough we just announced...
Most of us grew up learning there are three main types of matter that matter: solid, liquid, and gas. Today, that changed.
After a nearly 20 year pursuit, we’ve created an entirely new state of matter, unlocked by a new class of materials, topoconductors, that enable a fundamental leap in computing.
It powers Majorana 1, the first quantum processing unit built on a topological core.
We believe this breakthrough will allow us to create a truly meaningful quantum computer not in decades, as some have predicted, but in years.
The qubits created with topoconductors are faster, more reliable, and smaller.
They are 1/100th of a millimeter, meaning we now have a clear path to a million-qubit processor.
Imagine a chip that can fit in the palm of your hand yet is capable of solving problems that even all the computers on Earth today combined could not!
Sometimes researchers have to work on things for decades to make progress possible.
It takes patience and persistence to have big impact in the world.
And I am glad we get the opportunity to do just that at Microsoft.
This is our focus: When productivity rises, economies grow faster, benefiting every sector and every corner of the globe.
It’s not about hyping tech; it’s about building technology that truly serves the world.
Under OpenAI's restructuring plan:
• Company becomes for-profit
• Non-profit arm takes a minority stake
• Sam Altman gets 7% equity stake (~$10.5B)
• Non-profit board losses control over for-profit
Pulling a massive 180°
This demo is insane.
A student shares their iPad screen with the new ChatGPT + GPT-4o, and the AI speaks with them and helps them learn in *realtime*.
Imagine giving this to every student in the world.
The future is so, so bright.
¿Del 0 al 1.000.000, cuánto os ha gustado el nuevo anuncio de Apple?
El anuncio, que hace un guiño a los seguidores de Star Wars, promociona la función "Buscar", gracias al chip de banda ultra ancha de los nuevos iPhone.
¡Son unos genios! 👌
MLPs are so foundational, but are there alternatives? MLPs place activation functions on neurons, but can we instead place (learnable) activation functions on weights? Yes, we KAN! We propose Kolmogorov-Arnold Networks (KAN), which are more accurate and interpretable than MLPs.🧵
Turns out, a simple sum operator might just render #deeplearning obsolete. Solid math-based ideas are proving once again to outperform gimmicks.
#kolmogorovarnoldnetwork
Machine learning applications in Web3 cybersecurity are plentiful, but how helpful are LLMs?
Forta researchers are using LLMs to contextualize complex alert metadata, turning raw data into the who, what, where, and 'how much $' of any hack 🧩
https://t.co/znIhjQSHmk
TikToker brookescheurn had the genius idea to strap a camera to her 1-year-old daughter on a trip to Disneyland and capture POV reactions of her wandering around the park and meeting various Disney characters 🥹
🟢 Esto es importante, Microsoft presenta “The era of 1-bit LLM”:
La idea es que los pesos toman valores de (-1,0,1) en vez de float a 16 bit 🤯, esto se traduce en modelos 2.7x más rápidos, 3.5 menos uso de GPU, 71x menos consumo de energía 🔥