Today’s agenda at Apple Park: Introduce the @Pokemon team to John, talk gaming, and politely ask Pikachu to stay out of the pond. Two out of three were accomplished.
Today, we're introducing industry-specific solutions on Gemini Enterprise, starting with Gemini Enterprise for Legal and Financial Services, with more industries to come.
Gemini Enterprise for Legal is designed for law firms and in-house legal teams to help find and synthesize information, and navigate complex matters more efficiently. It has four capabilities →
There may not be many people left in 10 years who can write, or want to read, things longer than a page or two. But there will be at least a few of us, and we'll be a powerful club.
Fill in the blank: Search can now help with test prep for _________.
A. SAT
B. ACT
C. AP
D. ENEM
E. GRE
F. JEE
G. LSAT
H. MCAT
I. NEET
J. All of the above!
Grok Bot is the best AI agent right now
It gives you an army of agents that can do work for you 24/7
If you set it up correctly, you gain super powers
In this article, I cover setting up Grok Bot, use cases, plugins and what makes Grok Bot so good https://t.co/4gzbtLmVbr
Hoy contratar a Tony Robbins cuesta 1 millón de dólares por un solo día.
Esto es una cinta de 21 minutos grabada en su propia casa hace más de 30 años.
Ahí explica exactamente cómo lograr que cualquiera diga que sí.
El mismo material por el que ahora cobran fortuna… completamente gratis.
Es una grabación rara e sin filtros, de la época en que todavía no cobraba a multimillonarios solo por estar en la misma habitación.
Cuando alguien dice que no, da dos excusas:
“No tengo tiempo” o “No tengo dinero”
Ninguna es verdad.
La verdadera razón es que todavía no cree que valga la pena.
No es un problema de dinero. Es un problema de estado.
Tony enseña algo que llama “atacar y confesar”
En lugar de discutir la objeción, confiesas la tuya propia:
“Yo tuve la oportunidad de ir hace seis meses y no fui hasta hace dos.
No puedo ni imaginar el tiempo que perdí”
La sala se queda en silencio. Nadie discute.
Después mete a la persona en el “tren del sí”
Cada pequeño sí se suma al siguiente.
Hasta que decir que no al final se siente más difícil que decir que sí.
Cuando llega el momento de firmar, la persona ya ha aceptado cinco veces sin darse cuenta.
Solo 21 minutos.
Ahí aprendes las dos únicas jugadas por las que la gente paga 1 millón al día:
cómo leer el estado de cualquiera… y cómo moverlo.
La mayoría se pasa años adivinando en ventas.
Él lo escribió en un flipchart de su sala de estar en menos de media hora.
Un asiento en esa habitación costaba $125 dólares.
Hoy cuesta $1 millón de dólares al día estar frente a él.
La cinta está gratis ahora mismo.
Y la respuesta está en este video.
The best of Gemini is right at the heart of the new Pixel 11 phones and the new Pixel Watch 5. We call it Gemini Intelligence. It’s no longer just an operating system that helps you use your phone, it’s an intelligence system that gets things done for you.
Cursor is now part of @SpaceX.
Today, we have officially closed our acquisition. We will join the @SpaceXAI team to help make Grok the world's most useful AI and improve Grok Build, Grok Bot, Grok API, Cursor, and more.
SpaceX has built some of the most inspiring and impressive technology in the world, and we’re grateful for the opportunity to become part of such a special company. Onwards.
1B for the @GeminiApp ! Our fastest growing product ever 🚀
Incredible milestone - huge congratulations to @JoshWoodward and the amazing team! Could not be prouder of all of our hard work together.
And thank you to all our wonderful users, we can't wait to see what you'll do next with it!
Mark Zuckerberg: Most businesses will not own frontier AI in the way Meta or OpenAI does.
But many will end up with something that feels like their own AI: a customized operational layer that reflects how that company actually works.
He says, "OpenAI, Google, they're building an AI.
But I think we're gonna have a lot of different AI systems, just like we're gonna have, we have a lot of different apps. I think in the future, every business, just like I have a website and a phone number and an email address, a social media account, is also going to have an AI that can interact with their customers to help them sell things, help them give support."
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What he is really describing that a company’s “own AI” will usually not be a frontier model trained from scratch, but a layer built on top of shared models, shaped by its products, policies, customer history, and way of working.
Support, sales, and basic operations can be handled through a system that knows the business well enough to answer, route, recommend, and escalate without feeling generic.
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From 'Cleo Abram' YT channel (link in comment)
This Asari approach works, imagine the improvement in inference and the reduction of data center serving costs when people adopt this! The power of agents that are incredibly smart.
one of the most beautiful things about OpenAI is that every employee really has a voice.
i wanted to capture what it feels like to work here, what our mission means to me, and why you should join us. so i made this video with Codex, shared it with the team, and they felt it was worth producing and sharing with the world.
this is our mission. and it’s why i’m here.
Google co-founder Sergey Brin rarely speaks publicly. He just sat down for an unscripted Q&A on Frontier AI and admitted something most lab leaders won’t:
Even the people building these models do not fully understand what they have created.
In this 29-minute conversation at AGI House, Brin walks through the surprises that actually matter right now:
↳ Specialized models are converging into one general system faster than anyone predicted.
- Train on coding and math reasoning mysteriously improves.
- Feed it images and geometric word problems get better.
- The capabilities bleed into each other in ways nobody fully engineered.
↳ One of the biggest leaps came from the dumbest-sounding trick imaginable:
- Just telling the model to “think step by step.”
- Brin says there was no obvious reason it should work. It did.
↳ He pushes back on hype around superintelligence (it still can’t solve the impossible), notes that AI mastering a domain has never stopped humans from getting better at it (chess after Deep Blue, Go after AlphaGo), and says something close to transformers is probably enough to reach AGI.
↳ Inside Google, they are already using the AI to build the AI.
- That self-improvement loop is where Brin spends most of his time.
- World models and physical interaction are the missing piece for the version of AGI that can do anything a person can.
Candid, technical, and free of the usual marketing. One of the clearest looks at how the people actually shipping frontier models are thinking in real time.
Instead of another Netflix series tonight, watch this talk.