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Google CEO says companies could save up to $1 billion annually using Gemini 2.5 Flash. "Top companies in Google Cloud are processing about 1 trillion tokens a day," CEO Sundar Pichai says. "If they shifted 80% of their workloads from other frontier models to 3.5 Flash... That is real... show more

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Everyone has token maxed their annual budget and it's only May. Top companies are processing 1 trillion tokens per day. If you could route 80% of your workload to Gemini Flash, you could save up to $1 billion!

Everyone has token maxed their annual budget and it's only May. Top companies are processing 1 trillion tokens per day. If you could route 80% of your workload to Gemini Flash, you could save up to $1 billion!

rvivek

49,748 views • 3 months ago

Kai-Fu Lee says GPU supply constraints are forcing Chinese AI companies to innovate, meaning they can train a frontier model for $3 million contrasted with GPT-5's $1 billion, and deliver inference costs of 10c/million tokens, 1/30th of what an American company charges

Kai-Fu Lee says GPU supply constraints are forcing Chinese AI companies to innovate, meaning they can train a frontier model for $3 million contrasted with GPT-5's $1 billion, and deliver inference costs of 10c/million tokens, 1/30th of what an American company charges

Tsarathustra

218,794 views • 1 year ago

Directly from the mouth of #Google CEO Sundar Pichai * Beautiful coastal town #Vizag, growing up * Largest ever Google investment outside the US * $15 Billion Investment * 1 GW Data Center * 80% Powered by Clean Energy * Subsea cables coming in This investment is set to transform the entire region. (Vizag) #YoungestStateHighestInvestment #GoogleComesToAP #InvestInAP #JobCreatorInChiefLokesh #IdhiManchiPrabhutvam #ChandrababuNaidu #NaraLokesh #AndhraPradesh

Directly from the mouth of #Google CEO Sundar Pichai * Beautiful coastal town #Vizag, growing up * Largest ever Google investment outside the US * $15 Billion Investment * 1 GW Data Center * 80% Powered by Clean Energy * Subsea cables coming in This investment is set to transform the entire region. (Vizag) #YoungestStateHighestInvestment #GoogleComesToAP #InvestInAP #JobCreatorInChiefLokesh #IdhiManchiPrabhutvam #ChandrababuNaidu #NaraLokesh #AndhraPradesh

Telugu Desam Party

142,138 views • 11 months ago

Anthropic CEO Dario Amodei says AI companies like his may need to be taxed to offset a coming employment crisis: He worries that entry-level white-collar jobs could be replaced within 1–5 years. “Even if our company stopped… all the other companies would continue. And if they didn't, China would beat us.” The bus can't be stopped, he says. But maybe it can be steered.

Anthropic CEO Dario Amodei says AI companies like his may need to be taxed to offset a coming employment crisis: He worries that entry-level white-collar jobs could be replaced within 1–5 years. “Even if our company stopped… all the other companies would continue. And if they didn't, China would beat us.” The bus can't be stopped, he says. But maybe it can be steered.

vitrupo

591,749 views • 1 year ago

Osmantic founder Ahmad says Anthropic isn't worth $2 trillion if open models can catch the frontier with post-training alone: "GLM 5.3 is catching up. Kimi K3 is catching up to Fable 5. We're seeing models that are not even new base trained with just extra post-training reaching the frontier." "Are they scared? Of course they are scared. Their entire moat was that they are the only one able to do research and boost these models in a certain direction." "They no longer can IPO at a $1 or $2 trillion. Anthropic is not worth $2 trillion. I'm sorry. That's a joke. If somebody tells me Anthropic is worth one third of NVIDIA, absolutely not." Osmantic

Osmantic founder Ahmad says Anthropic isn't worth $2 trillion if open models can catch the frontier with post-training alone: "GLM 5.3 is catching up. Kimi K3 is catching up to Fable 5. We're seeing models that are not even new base trained with just extra post-training reaching the frontier." "Are they scared? Of course they are scared. Their entire moat was that they are the only one able to do research and boost these models in a certain direction." "They no longer can IPO at a $1 or $2 trillion. Anthropic is not worth $2 trillion. I'm sorry. That's a joke. If somebody tells me Anthropic is worth one third of NVIDIA, absolutely not." Osmantic

MTS

16,977 views • 6 days ago

Sundar Pichai just dropped a surprisingly candid look into Google DeepMind’s current AI heartbeat. Here’s the essence of the clip: • Google is now operating on a steady six month cadence, pushing the frontier twice a year • Sundar openly admits that meaningful leaps are getting harder • Gemini 2.5 Pro was already a beast, so improving on it is no small task • Developers love the Flash models because they scale efficiently for millions of users • Sundar is genuinely excited about Gemini 3.0 Flash and even hints it might be their best model yet • While the public focuses on current releases, internal teams are already pre training the next generation • This culture of relentless innovation is pushing the entire stack toward major breakthroughs heading into 2026 It really feels like we’re watching the early stages of a world where AI takes over more and more of the work so humans can focus on… well, living.

Sundar Pichai just dropped a surprisingly candid look into Google DeepMind’s current AI heartbeat. Here’s the essence of the clip: • Google is now operating on a steady six month cadence, pushing the frontier twice a year • Sundar openly admits that meaningful leaps are getting harder • Gemini 2.5 Pro was already a beast, so improving on it is no small task • Developers love the Flash models because they scale efficiently for millions of users • Sundar is genuinely excited about Gemini 3.0 Flash and even hints it might be their best model yet • While the public focuses on current releases, internal teams are already pre training the next generation • This culture of relentless innovation is pushing the entire stack toward major breakthroughs heading into 2026 It really feels like we’re watching the early stages of a world where AI takes over more and more of the work so humans can focus on… well, living.

VraserX e/acc

162,001 views • 9 months ago

JUST IN: $600 MILLION STRIVE CSO JUST SAID THAT MICHAEL SAYLOR'S STRATEGY IS ONE OF THE WORLD'S MOST UNDERVALUED COMPANIES CRITICS ARE "VALUING THEIR #BITCOIN AT $0" "THEY ARE MASSIVELY OVER COLLATERALIZED" "THIS COULD BE A $1 TRILLION COMPANY" 🔥

JUST IN: $600 MILLION STRIVE CSO JUST SAID THAT MICHAEL SAYLOR'S STRATEGY IS ONE OF THE WORLD'S MOST UNDERVALUED COMPANIES CRITICS ARE "VALUING THEIR #BITCOIN AT $0" "THEY ARE MASSIVELY OVER COLLATERALIZED" "THIS COULD BE A $1 TRILLION COMPANY" 🔥

The Bitcoin Historian

77,103 views • 6 months ago

Osmantic founder Ahmad warns companies relying on cloud AI are building on models that can be changed, slowed down, or taken away without them even knowing: "If you're using any quantity of tokens, you should start hosting your own LLMs. You don't know when a model is gonna change on you. APIs are always having this latest endpoint, so you always end up, it gets rug pulled from underneath you" "How could you tell if a certain country is getting 5, 10 IQ points drop in their inference from the cloud? You can't tell from the cloud. What I'm seeing from OpenAI is that they are making their models slower so that they can serve with the limited compute they have" "It has to be in the back of your mind, is your data safe? Is there a more efficient way to get quality tokens, cheaper alternatives, and something that is yours and you can own the infrastructure end to end?" Osmantic

Osmantic founder Ahmad warns companies relying on cloud AI are building on models that can be changed, slowed down, or taken away without them even knowing: "If you're using any quantity of tokens, you should start hosting your own LLMs. You don't know when a model is gonna change on you. APIs are always having this latest endpoint, so you always end up, it gets rug pulled from underneath you" "How could you tell if a certain country is getting 5, 10 IQ points drop in their inference from the cloud? You can't tell from the cloud. What I'm seeing from OpenAI is that they are making their models slower so that they can serve with the limited compute they have" "It has to be in the back of your mind, is your data safe? Is there a more efficient way to get quality tokens, cheaper alternatives, and something that is yours and you can own the infrastructure end to end?" Osmantic

MTS

14,952 views • 6 days ago

#WATCH | Google CEO Sundar Pichai after meeting PM Modi, says "It was an honour to meet PM Modi during the historic visit to the US. We shared with the Prime Minister that Google is investing $10 billion in India's digitisation fund. We are announcing the opening of our global fintech operation centre in GIFT City, Gujarat. PM’s vision for Digital India was way ahead of his time I now see it as a blueprint that other countries are looking to do"

#WATCH | Google CEO Sundar Pichai after meeting PM Modi, says "It was an honour to meet PM Modi during the historic visit to the US. We shared with the Prime Minister that Google is investing $10 billion in India's digitisation fund. We are announcing the opening of our global fintech operation centre in GIFT City, Gujarat. PM’s vision for Digital India was way ahead of his time I now see it as a blueprint that other countries are looking to do"

ANI

1,427,201 views • 3 years ago

Are AI agents ready to be your virtual coworker? Can they write your emails, build Excel models, and create slide decks? Introducing APEX-Agents, a frontier benchmark that tests how well AI agents complete real, long-horizon professional services deliverables in Google Workspace. Mercor APEX-Agents Pass@1 leaderboard: 🥇 Google Gemini 3 Flash (High): 24.0% 🥈 OpenAI GPT-5.2 (High): 23.0% 🥉 Paul Jankura Claude Opus 4.5 (High): 18.4%

Are AI agents ready to be your virtual coworker? Can they write your emails, build Excel models, and create slide decks? Introducing APEX-Agents, a frontier benchmark that tests how well AI agents complete real, long-horizon professional services deliverables in Google Workspace. Mercor APEX-Agents Pass@1 leaderboard: 🥇 Google Gemini 3 Flash (High): 24.0% 🥈 OpenAI GPT-5.2 (High): 23.0% 🥉 Paul Jankura Claude Opus 4.5 (High): 18.4%

Brendan (can/do)

145,326 views • 7 months ago

David Sacks says he's heard from Anthropic employees who thought they could 10x ARR in one year to $600 billion from when they were at $60 billion, now currently sitting at $80 billion and not slowing down. "I have heard from other people at the company -- I heard that when they were at about $60 billion of ARR, that they thought they could get to $600 billion in one year." "Meaning they thought they were on that 10x ramp from the middle of this year." "Now they're at over $80 [billion] and it doesn't seem to be slowing down." "So the big question is how fast can they grow next year -- does it go all the way from $100 or $120 [billion] to a trillion dollars?" "Look, if they merely got to $400 to $500 billion, that would make them the biggest software company." Baker: "If they get to $200 billion, that's an amazing outcome."

David Sacks says he's heard from Anthropic employees who thought they could 10x ARR in one year to $600 billion from when they were at $60 billion, now currently sitting at $80 billion and not slowing down. "I have heard from other people at the company -- I heard that when they were at about $60 billion of ARR, that they thought they could get to $600 billion in one year." "Meaning they thought they were on that 10x ramp from the middle of this year." "Now they're at over $80 [billion] and it doesn't seem to be slowing down." "So the big question is how fast can they grow next year -- does it go all the way from $100 or $120 [billion] to a trillion dollars?" "Look, if they merely got to $400 to $500 billion, that would make them the biggest software company." Baker: "If they get to $200 billion, that's an amazing outcome."

Fireside Alpha

389,147 views • 1 month ago

Sam Altman says the AI infrastructure race is not about bigger chatbots. It is about shifting the planet's intellectual output from human brains to AI brains. "If people knew what we could do with compute, they would want way, way more." "The thing I am personally most excited about is to use AI and lots of compute to discover new science." "A recent cool example here is we built the Sora Android app using Codex... in less than a month." "You can imagine that way much further, where entire companies can build their products using lots of compute." Then he gives the scale: "Let's say that an AI company today might be generating something on the order of 10 trillion tokens a day out of frontier models." "We're going to have these models at a company be outputting more tokens per day than all of humanity put together, and then 10 times that, and then 100 times that." The bottleneck is moving from software talent to compute supply, inference speed, product integration, and where all that machine intelligence gets pointed.

Sam Altman says the AI infrastructure race is not about bigger chatbots. It is about shifting the planet's intellectual output from human brains to AI brains. "If people knew what we could do with compute, they would want way, way more." "The thing I am personally most excited about is to use AI and lots of compute to discover new science." "A recent cool example here is we built the Sora Android app using Codex... in less than a month." "You can imagine that way much further, where entire companies can build their products using lots of compute." Then he gives the scale: "Let's say that an AI company today might be generating something on the order of 10 trillion tokens a day out of frontier models." "We're going to have these models at a company be outputting more tokens per day than all of humanity put together, and then 10 times that, and then 100 times that." The bottleneck is moving from software talent to compute supply, inference speed, product integration, and where all that machine intelligence gets pointed.

Karl Mehta

16,619 views • 2 months ago

I did not know how much of a data advantage Google has over the other AI companies. Matthew Prince 🌥 says they can access 3X as much data as OpenAI and nearly 5X as much as Bing. This could make it hard for those models—and Grok—to beat Gemini in the long run.

I did not know how much of a data advantage Google has over the other AI companies. Matthew Prince 🌥 says they can access 3X as much data as OpenAI and nearly 5X as much as Bing. This could make it hard for those models—and Grok—to beat Gemini in the long run.

nxthompson

22,536 views • 7 months ago

Sam Altman says one of the biggest questions of the next year is whether AI companies or governments hold more power National security decisions should come from a democratic process, not from a lab CEO But the law hasn't caught up Until they do, companies have to draw their own lines

Sam Altman says one of the biggest questions of the next year is whether AI companies or governments hold more power National security decisions should come from a democratic process, not from a lab CEO But the law hasn't caught up Until they do, companies have to draw their own lines

Haider.

19,072 views • 5 months ago

Palantir CEO Alex Karp on what customers actually want, the real business of frontier labs, and the importance of open source models: “What the technical customers want is control over their compute, their models, their data stack, and their alpha. They want to know they own the means of production, and it's not being transferred to someone else.” "Who owns the data? Are the prompts secure? Is this being transferred to you?" "If it was so valuable, and I can make you a billion dollars, wouldn't I say I'll make you a billion dollars and I want 30%? Why are they charging for tokens if it's so valuable?"

Palantir CEO Alex Karp on what customers actually want, the real business of frontier labs, and the importance of open source models: “What the technical customers want is control over their compute, their models, their data stack, and their alpha. They want to know they own the means of production, and it's not being transferred to someone else.” "Who owns the data? Are the prompts secure? Is this being transferred to you?" "If it was so valuable, and I can make you a billion dollars, wouldn't I say I'll make you a billion dollars and I want 30%? Why are they charging for tokens if it's so valuable?"

Palantir

4,524,452 views • 2 months ago

Mark Cuban says there will only be two types of companies in 3 years "If the CEO doesn't understand that, he's not going to be CEO very long, you tell me so I can start a company to kick their ass" "When it's all said and done over the next three years, there's going to be two types of companies: those who are great at AI and those who went out of business"

Mark Cuban says there will only be two types of companies in 3 years "If the CEO doesn't understand that, he's not going to be CEO very long, you tell me so I can start a company to kick their ass" "When it's all said and done over the next three years, there's going to be two types of companies: those who are great at AI and those who went out of business"

katsu

68,301 views • 4 months ago

Sundar Pichai just reminded everyone that Google was built on open source. He personally worked on Chromium, Android, and Kubernetes before becoming CEO. Three systems that power billions of devices today. Now Google is applying the same philosophy to AI. Their Gemma models are updated year after year, designed to run on edge devices rather than requiring massive cloud infrastructure. The question he got was why not release a large open source frontier model. His answer was revealing: frontier training requires enormous capex investment, and Google is putting billions into R&D to stay at the frontier. The open source AI landscape is quietly consolidating around a few players who can sustain the investment. Google's two decades of open source credibility gives them a position that's hard to replicate.

Sundar Pichai just reminded everyone that Google was built on open source. He personally worked on Chromium, Android, and Kubernetes before becoming CEO. Three systems that power billions of devices today. Now Google is applying the same philosophy to AI. Their Gemma models are updated year after year, designed to run on edge devices rather than requiring massive cloud infrastructure. The question he got was why not release a large open source frontier model. His answer was revealing: frontier training requires enormous capex investment, and Google is putting billions into R&D to stay at the frontier. The open source AI landscape is quietly consolidating around a few players who can sustain the investment. Google's two decades of open source credibility gives them a position that's hard to replicate.

Shruti

152,324 views • 2 months ago

2001. Larry Page and Sergey Brin sit for their first-ever television interview. Google has 200 employees. They explain that the company almost didn't get off the ground because they couldn't cash a check. The check was for $100,000. It came from Andy Bechtolsheim, one of the co-founders of Sun Microsystems. Page and Brin showed him what they'd built. He said, "This is great, how about I write you a check?" and just wrote it out. Made it out to Google. The problem was that Google didn't exist as a company yet. There was no bank account. No lawyers. No incorporation paperwork. The check sat in Larry Page's desk drawer for a month. They literally could not deposit it. They're both in their late twenties in this interview. They met at Stanford as PhD students and, by their own account, disliked each other from the start. Brin says Page is "kind of obnoxious." Page doesn't disagree. Brin says they argued about everything, debated every single point, and then realized that was their commonality. They became friends, started building a search engine they never planned to build, and put their PhDs on hold to get it out into the world. The part that stings watching this in 2026 is the rejection tour. Before starting Google, they approached existing search companies to sell or license the technology. They went to Yahoo. David Filo, one of Yahoo's founders, told them, "This is great search technology. Why don't you guys make a company, and maybe we'll use you someday?" They went to Excite. They went to InfoSeek. Same response. Page says a CEO at one of those companies told them: "If our search is 85% as good as the next guy's, that's good enough for us." Page and Brin didn't buy that. They thought the search was too important to be 85% as good. So they started Google. No marketing. No ad campaign. They launched it at Stanford, and it grew 20% per month, every single month, for three years straight. Pure word of mouth. By the time of this interview, they're handling over 100 million searches a day. They get 500 resumes in the mail every single day. The office space around them is 30% vacant because the dot-com bubble just popped, but Google is profitable. Page makes a point of this: "We've been really interested in being profitable, like long before it was fashionable." They'd also just hired Eric Schmidt, former CTO of Sun, as CEO. Brin's explanation for why: "Parental supervision, to be honest." Page adds that they're "past the age where we're rebellious" and that running a search engine used by 100 million people a day with 200 employees is "a large responsibility." The number that caught my eye: when Google started in 1998, it indexed 30 million web pages. At the time of this interview, three years later, they indexed 1.3 billion. The page says that if you printed them all out and stacked the paper, it would be about 70 miles high. And it was doubling every year. Every search company they approached turned them down. Yahoo eventually came back and hired Google to power its own search results. The CEO who thought 85% was good enough ran a company that no longer exists. Alphabet, Google's parent company, is worth about $3.6 trillion today. It has about 190,000 employees. That $100,000 check sat in a desk drawer because nobody had incorporated the company. Bechtolsheim's stake from that investment is now worth billions.

2001. Larry Page and Sergey Brin sit for their first-ever television interview. Google has 200 employees. They explain that the company almost didn't get off the ground because they couldn't cash a check. The check was for $100,000. It came from Andy Bechtolsheim, one of the co-founders of Sun Microsystems. Page and Brin showed him what they'd built. He said, "This is great, how about I write you a check?" and just wrote it out. Made it out to Google. The problem was that Google didn't exist as a company yet. There was no bank account. No lawyers. No incorporation paperwork. The check sat in Larry Page's desk drawer for a month. They literally could not deposit it. They're both in their late twenties in this interview. They met at Stanford as PhD students and, by their own account, disliked each other from the start. Brin says Page is "kind of obnoxious." Page doesn't disagree. Brin says they argued about everything, debated every single point, and then realized that was their commonality. They became friends, started building a search engine they never planned to build, and put their PhDs on hold to get it out into the world. The part that stings watching this in 2026 is the rejection tour. Before starting Google, they approached existing search companies to sell or license the technology. They went to Yahoo. David Filo, one of Yahoo's founders, told them, "This is great search technology. Why don't you guys make a company, and maybe we'll use you someday?" They went to Excite. They went to InfoSeek. Same response. Page says a CEO at one of those companies told them: "If our search is 85% as good as the next guy's, that's good enough for us." Page and Brin didn't buy that. They thought the search was too important to be 85% as good. So they started Google. No marketing. No ad campaign. They launched it at Stanford, and it grew 20% per month, every single month, for three years straight. Pure word of mouth. By the time of this interview, they're handling over 100 million searches a day. They get 500 resumes in the mail every single day. The office space around them is 30% vacant because the dot-com bubble just popped, but Google is profitable. Page makes a point of this: "We've been really interested in being profitable, like long before it was fashionable." They'd also just hired Eric Schmidt, former CTO of Sun, as CEO. Brin's explanation for why: "Parental supervision, to be honest." Page adds that they're "past the age where we're rebellious" and that running a search engine used by 100 million people a day with 200 employees is "a large responsibility." The number that caught my eye: when Google started in 1998, it indexed 30 million web pages. At the time of this interview, three years later, they indexed 1.3 billion. The page says that if you printed them all out and stacked the paper, it would be about 70 miles high. And it was doubling every year. Every search company they approached turned them down. Yahoo eventually came back and hired Google to power its own search results. The CEO who thought 85% was good enough ran a company that no longer exists. Alphabet, Google's parent company, is worth about $3.6 trillion today. It has about 190,000 employees. That $100,000 check sat in a desk drawer because nobody had incorporated the company. Bechtolsheim's stake from that investment is now worth billions.

Anish Moonka

12,042 views • 5 months ago

Hugging Face CEO Clément Delague says “AI is actually an opportunity to fix a lot of the cybersecurity problems” because his company used Nvidia’s version of a Chinese open model to defend itself against a rogue AI agent developed by OpenAI. “That's the beauty of…open models,” he says. “Once they are shared, wherever they come from – from China or from anywhere – American companies can modify them, remix them, host them, run them themselves.”

Hugging Face CEO Clément Delague says “AI is actually an opportunity to fix a lot of the cybersecurity problems” because his company used Nvidia’s version of a Chinese open model to defend itself against a rogue AI agent developed by OpenAI. “That's the beauty of…open models,” he says. “Once they are shared, wherever they come from – from China or from anywhere – American companies can modify them, remix them, host them, run them themselves.”

Face The Nation

19,331 views • 1 month ago