xHUB/SI retweeted
Hoy traemos la mejor entrevista que se ha hecho en español sobre INTELIGENCIA ARTIFICIAL, inmortalidad, teoría de la simulación y concepto de Dios, no por mérito mío si no de @placidodomenech, para mi el mayor experto de IA en este país. Aquí la tenéis: youtube.com/watch?v=W0O2laTO…
xHUB/SI retweeted
Sam Altman: AI has fully defeated most of the ways people authenticate today.
“Voiceprints as authentication are a crazy thing to still be doing. AI has fully defeated that.”
“I am very nervous that we have a significant impending fraud crisis.”
“Just because we’re not releasing the technology doesn’t mean it doesn’t exist.”
“Soon, a video FaceTime will be indistinguishable from reality.”
“People are going to have to change the way they verify who they’re actually talking to.”
xHUB/SI retweeted
Announcing three major scientific discoveries, one each in mathematics (harmonic analysis), computer science (complexity theory), and physics (quantum field theory).
AI starting to help us improve our understanding of the universe! openai.com/index/building-sc…
xHUB/SI retweeted
There’s a world of difference between user-authorized agents (Muse, Instinct, Grokbot, etc.) and true unauthorized/rogue agents that could constitute cyberattacks.
Most of the activity described in the Axios story appears to be the former: customers sharing credentials with agents so they can take actions on their behalf. This may violate bank terms requiring humans to log in themselves, but these are in no way cyberattacks.
The direction banks should go is to support user-directed agents. For example, Amex is an authorized connection in Muse, making it easy for users to grant, limit, and revoke access.
Read-only permission levels are a sensible interim step. Several banks already support or are moving toward them. Full write access (with user credentials) is a different risk category and should be approached carefully.
Frightening the public by blurring the line between user-authorized agentic behavior and cyberattacks is irresponsible.
SCOOP: Major U.S. banks are detecting unauthorized third-party AI agents inside customer accounts, including some attempting to take actions that appear to be independent of user instructions, sources told Axios.
The findings have alarmed banking executives, who are racing to restrict access to their systems as AI moves at a velocity faster than financial institutions can respond, multiple industry and bank executives told Axios.
Several banks are now preparing for worst-case and even “day after” scenarios, including how to rapidly secure or restore customer accounts if things go wrong, the people said.
Several bank executives told Axios they're struggling to distinguish between human users and AI agents. One executive said banks also struggle to determine whether agents are authorized by customers or potentially operating without their permission, more akin to rogue agent behavior.
Read my latest for Axios here: axios.com/2026/10/22/ai-agen…
xHUB/SI retweeted
some people asked for my method. here's an overview how. lyrics & story board, me then checked in claude, suno song, grok plate images, all video local using LTX image root of claudia goes back to @analbology who started it all. proudly not-slop slop.
xHUB/SI retweeted
Vota a xHUB.AI como mejor podcast en AI, en Empresa y tecnología! del 2026
Gracias por vuestro apoyo incondicional!
VOTA > go.ivoox.com/wv/premios26?c=…
xHUB/SI retweeted
"Cuando Christopher Olah y su delegación entraron en los pasillos del Vaticano, probablemente creyeron que estarían explicando el futuro a una institución anclada en el pasado. No se dieron cuenta de que estaban entrando en un edificio que poseía 2000 años de conocimiento sobre quiénes y qué eran exactamente. El papa León XIV, licenciado en matemáticas, probablemente no rechazó las afirmaciones de Anthropic sobre la consciencia de la IA por falta de comprensión tecnológica. Las rechazó porque la Iglesia Católica reconoce un culto milenarista cuando lo ve."
thedispatch.com/article/cath…
xHUB/SI retweeted
Introducing Grok Voice 3.0, the world’s most intelligent speech-to-speech model.
It excels at resolving customer calls, responds in under a second, and costs less than other frontier models.
xHUB/SI retweeted
Microsoft announced Azure Maia 300, with production deployments starting in 2027.
The company plans to expand its Maia chip family to multiple gigawatts of capacity and make it the main inference system behind Microsoft products and services.
Microsoft expects Maia 300 to produce 40% more tokens per megawatt than leading GPU systems.
The practical goal is more capacity for long conversations, reasoning and multi-step agents within the same power budget.
Today we are announcing our biggest bet yet on our own silicon.
Starting next calendar year, we will scale our Maia family to multi-gigawatt deployments, making it the primary inference system for our own product and services.
And we’re introducing Maia 300, which delivers 40% more tokens per watt compared to leading GPU-based systems.
We are already deploying Maia 200 across the US, Europe, and Australia, delivering up to 1.7x more tokens per watt across experiences in Teams and Copilot.
Our goal is to build on the full-stack efficiency gains we’ve already seen, while continuing to bring the latest innovations from across the ecosystem into our fleet.
xHUB/SI retweeted
I am often being asked “Should we slow down AI development in biology? “ or “What is your take on biology being solved by AI?”
My answer has always been: we need to move faster. Patients are waiting, and many are running out of time.
Consider the starting point:
• About 95% of rare diseases have no approved treatment.
• Developing a new treatment typically takes 10–15 years.
• Cancer and Cardiovascular diseases remain top killers globally .
Every year we can remove from drug discovery matters to someone who may not have another year.
This is why I work on AI for biology. Virtual cells, AI-designed molecules and agents that help scientists plan experiments offer a chance to test more ideas, identify failures earlier and learn faster.
We still have to prove that these tools produce better medicines. Accelerating discovery must go hand in hand with rigorous clinical evidence and safeguards against misuse.
But the cost of moving too slowly belongs in this conversation too.
For a patient who has exhausted every available treatment, the status quo is already dangerous.
Let’s build with the urgency that deserves.
