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Demis Hassabis: "Kids these days could start a multi-bn dollar business using these AI tools in some new way that no one had thought about." Labs are focused on shipping better models, not exhausting their applications, so there's room for new products

Rohan Paul

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166,399 Aufrufe • vor 4 Monaten •via X (Twitter)

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“A kid these days could start a multi billion dollar business by using these tools in some way no one has thought about” Enroll and give a shot at securing $1m in funding!

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The Nobel Prize winner just said something big. The biggest AI opportunity isn't at Google. It's with you. Demis Hassabis says a kid today could start a multi-billion dollar business by applying AI to something new. The frontier labs can't explore it all. That gap is your opportunity.

The Nobel Prize winner just said something big. The biggest AI opportunity isn't at Google. It's with you. Demis Hassabis says a kid today could start a multi-billion dollar business by applying AI to something new. The frontier labs can't explore it all. That gap is your opportunity.

Alvin Foo

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Demis Hassabis explains Isomorphic Labs' 10x drug discovery engine, and why solving disease could also create a multi-hundred-billion-dollar business "If you ask me, the number one thing AI can do for humanity, it would be to solve hundreds of terrible diseases. I can't imagine a better use case for AI." "If you could revolutionize the drug discovery process, make it 10x faster and more efficient, and more likely to pass through the clinical trials because you can predict the properties better, that has to also be of enormous commercial value too." "I hope to do both with Isomorphic." "Build a multi-hundred-billion-dollar business. I think it has that potential, as well as being incredibly beneficial for society and humanity." The real health AI prize is not another chatbot. It is compressing the path from a predicted drug property to a clinical trial, then turning that speed into treatments for hundreds of diseases. Demis is making a rare dual bet: the most valuable AI company in biology may also deliver AI's most valuable public benefit. - Demis Hassabis (Demis Hassabis), CEO of Google DeepMind and founder of Isomorphic Labs, on Bloomberg TV

Demis Hassabis explains Isomorphic Labs' 10x drug discovery engine, and why solving disease could also create a multi-hundred-billion-dollar business "If you ask me, the number one thing AI can do for humanity, it would be to solve hundreds of terrible diseases. I can't imagine a better use case for AI." "If you could revolutionize the drug discovery process, make it 10x faster and more efficient, and more likely to pass through the clinical trials because you can predict the properties better, that has to also be of enormous commercial value too." "I hope to do both with Isomorphic." "Build a multi-hundred-billion-dollar business. I think it has that potential, as well as being incredibly beneficial for society and humanity." The real health AI prize is not another chatbot. It is compressing the path from a predicted drug property to a clinical trial, then turning that speed into treatments for hundreds of diseases. Demis is making a rare dual bet: the most valuable AI company in biology may also deliver AI's most valuable public benefit. - Demis Hassabis (Demis Hassabis), CEO of Google DeepMind and founder of Isomorphic Labs, on Bloomberg TV

Karl Mehta

46,987 Aufrufe • vor 1 Monat

Demis Hassabis recommendation for college students. He’s still do STEM, math and computer science. Expertise in those fields will help better leverage AI for at least next decade. Those in non-techical majors, really “lean in to” using latest models. AI labs spending so much time creating new models that they’ve only “scratched the surface” of what the models can actually do (huge “capability overhang”). And expertise in any field can be turbocharged by smart use of AI. “Double down on your own agency. The future is still to be written. Don’t listen to anyone that says it’s not.”

Demis Hassabis recommendation for college students. He’s still do STEM, math and computer science. Expertise in those fields will help better leverage AI for at least next decade. Those in non-techical majors, really “lean in to” using latest models. AI labs spending so much time creating new models that they’ve only “scratched the surface” of what the models can actually do (huge “capability overhang”). And expertise in any field can be turbocharged by smart use of AI. “Double down on your own agency. The future is still to be written. Don’t listen to anyone that says it’s not.”

Bearly AI

218,229 Aufrufe • vor 3 Monaten

Rigs are what would need improving for animation to get better not the models Which can & has been done for these models via fans New models would definitely be better but making new models has no real effect on the actual quality of the animation. weve seen this w/ their tests

Rigs are what would need improving for animation to get better not the models Which can & has been done for these models via fans New models would definitely be better but making new models has no real effect on the actual quality of the animation. weve seen this w/ their tests

🦝MelohRush🦝 - ANIMATOR

123,046 Aufrufe • vor 6 Monaten

The reason why Joe could buy these multi-million dollar mansions is because Hunter got paid to sell the Biden name across the globe. Going back to my banking days there's no way he's qualifying for the loans to buy a $5M beach house while only making $174K. These are the facts.

The reason why Joe could buy these multi-million dollar mansions is because Hunter got paid to sell the Biden name across the globe. Going back to my banking days there's no way he's qualifying for the loans to buy a $5M beach house while only making $174K. These are the facts.

Congressman Byron Donalds

570,018 Aufrufe • vor 3 Jahren

Erik Voorhees explains how you can combine different AI tools to beat any single model "We're working on a concept called Minds. If you put modules of AI systems together the right way, you can get results better than any single model itself" "All the labs are focused on their models and beating each other's scores, but if you combine these things in creative interesting ways you get stuff no model can do on its own" "If no new models came out for five years, the advances in AI would still continue apace because people have not realized how much they can do even with the stuff created two years ago"

Erik Voorhees explains how you can combine different AI tools to beat any single model "We're working on a concept called Minds. If you put modules of AI systems together the right way, you can get results better than any single model itself" "All the labs are focused on their models and beating each other's scores, but if you combine these things in creative interesting ways you get stuff no model can do on its own" "If no new models came out for five years, the advances in AI would still continue apace because people have not realized how much they can do even with the stuff created two years ago"

Market Bubble

16,762 Aufrufe • vor 2 Monaten

99% of AI applications are cool-looking demos. Impressive, but don't get fooled by the hype. It takes a lot to build enterprise-grade products that deliver real value. I have at least three weekly conversations with companies that want to use a Large Language Model with their data. The demand is huge! Here is one idea about what you can do to help. The use cases that most of these companies want to solve are similar: They have an extensive knowledge base and want to build a simple application that uses that information to answer questions. In other words, they need help building Retrieval Augmented Generation (RAG) applications they can use in many different scenarios: 1. To train new employees 2. To help their support team 3. To search old meetings and documents 4. To help with their research However, building these systems is not straightforward. Yes, there's a lot of information online, but there aren't enough people who know how to create solutions that work. Here is the idea: Today, you can build an enterprise-grade RAG application without writing code. A couple of MIT PhDs with 10+ years of experience building AI applications created . It's a no-code platform for building applications using Large Language Models. They are partnering with me on this post. You can use Stack AI to create, test, and deploy an end-to-end production-ready AI system. It's SOC-2, HIPAA, and GDPR compliant and offers SSO, role management, access control, and on-premise deployments. Of course, you can use the platform with any LLM on the market now. It's the whole nine yards for building AI applications. Check them out here: 2023 was about models. 2024 is about the tools using these models to build production-ready applications. That's where I'd start.

99% of AI applications are cool-looking demos. Impressive, but don't get fooled by the hype. It takes a lot to build enterprise-grade products that deliver real value. I have at least three weekly conversations with companies that want to use a Large Language Model with their data. The demand is huge! Here is one idea about what you can do to help. The use cases that most of these companies want to solve are similar: They have an extensive knowledge base and want to build a simple application that uses that information to answer questions. In other words, they need help building Retrieval Augmented Generation (RAG) applications they can use in many different scenarios: 1. To train new employees 2. To help their support team 3. To search old meetings and documents 4. To help with their research However, building these systems is not straightforward. Yes, there's a lot of information online, but there aren't enough people who know how to create solutions that work. Here is the idea: Today, you can build an enterprise-grade RAG application without writing code. A couple of MIT PhDs with 10+ years of experience building AI applications created . It's a no-code platform for building applications using Large Language Models. They are partnering with me on this post. You can use Stack AI to create, test, and deploy an end-to-end production-ready AI system. It's SOC-2, HIPAA, and GDPR compliant and offers SSO, role management, access control, and on-premise deployments. Of course, you can use the platform with any LLM on the market now. It's the whole nine yards for building AI applications. Check them out here: 2023 was about models. 2024 is about the tools using these models to build production-ready applications. That's where I'd start.

Santiago

197,702 Aufrufe • vor 2 Jahren

Dana White says the average salary for Meta AI employees is $65,000,000 “So Meta AI. I'm on the board for Meta. Zuckerberg who is a brilliant fucking gangster. These people who try to talk shit about him and everything else, I'm so blown away and impressed by this guy. He's an animal and putting all the chips in on AI” “We just hired 10 kids that are aged 22 to 28. The average salary is like $65 million that these kids are making that are coming in working on AI. You hear a lot of negativity about AI. There's way more positives about AI than negative”

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WATCH: When railroad crossings are blocked for hours on end, these kids risk their lives to get to school by crawling through trains that could start at any moment. Read our new investigation with InvestigateTV

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ProPublica

336,979 Aufrufe • vor 3 Jahren

Google DeepMind CEO Demis Hassabis warns AI could go rogue in the next 3 to 4 years "There's two things to worry about" "One is bad actors, whether that's individuals or all the way up to nation states, repurposing these technologies for harmful ends" "The second branch is the AI itself going rogue or going off the rails" "That's not today's systems but maybe in the next 2, 3, 4 years"

Google DeepMind CEO Demis Hassabis warns AI could go rogue in the next 3 to 4 years "There's two things to worry about" "One is bad actors, whether that's individuals or all the way up to nation states, repurposing these technologies for harmful ends" "The second branch is the AI itself going rogue or going off the rails" "That's not today's systems but maybe in the next 2, 3, 4 years"

Spurz

16,014 Aufrufe • vor 3 Monaten

"AOC & Bernie are not even welcome to come in to speak at these encampments, but I can. So let me tell you something, there's no way in hell that these younger kids are gonna vote for AOC to be president. They can forget about that. The Democratic Party, better wake the hell up and smell the coffee. Otherwise, they can forget about their party forever. What we saw in this last presidential election might have killed their party forever." -Christian Smalls VIDEO PREMIERE‼️:

"AOC & Bernie are not even welcome to come in to speak at these encampments, but I can. So let me tell you something, there's no way in hell that these younger kids are gonna vote for AOC to be president. They can forget about that. The Democratic Party, better wake the hell up and smell the coffee. Otherwise, they can forget about their party forever. What we saw in this last presidential election might have killed their party forever." -Christian Smalls VIDEO PREMIERE‼️:

Briahna Joy Gray

102,086 Aufrufe • vor 1 Jahr

2024 was a big year for me, so I thought I'd share more about some of the people and moments that made it so special. I hope you're able to have some quiet, reflective moments in these last few days before the new year🕯️

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Melinda French Gates

46,298 Aufrufe • vor 1 Jahr

Engram cofounder Jack Morris just raised $98M to build a new type of AI. He says models don't need to get smarter over time. Instead, they just need to know you better and better over time. Jack describes what he's building: "Our product is a new type of AI. We have a pretty different vision from a lot of the frontier labs, which are working on one model per lab, and trying to make that model smarter every month." "There's another way to think about it, which is that the model doesn't need to get smarter every month. It needs to know you better." "So we're working on a whole different stack, which is a way to train models that train themselves to know your world better and adjust to the things that you say." "So: new ways of training, new ways of running the models."

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TBPN

70,552 Aufrufe • vor 2 Monaten

NEW — National Security Advisor Jake Sullivan confirms that the United States is going to deliver cluster bombs to Ukraine. "Ukraine would not be using these munitions in some foreign land. This is their country they're defending, these are their citizens they're protecting and they are motivated to use any weapon system they have in a way that minimizes risks to those citizens."

NEW — National Security Advisor Jake Sullivan confirms that the United States is going to deliver cluster bombs to Ukraine. "Ukraine would not be using these munitions in some foreign land. This is their country they're defending, these are their citizens they're protecting and they are motivated to use any weapon system they have in a way that minimizes risks to those citizens."

KanekoaTheGreat

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According to a story in New York Times these videos are seen as problematic because of their impact on- because X, Meta & YouTube are not doing anything to stop these - So are we now expecting some censorship? Pressure on Musk?

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Moeed Pirzada

205,431 Aufrufe • vor 5 Monaten

Proactive AI Agents Today’s AI products are reactive. You give the model a prompt, it responds with an answer. These are useful, but I’m excited about products that take this further and shift the paradigm from “ask → answer” to “observe → act." These agents will continuously monitor context in the background across all of your connected tools and data, predict what matters, and take action before being asked to do so – much like a human does. So instead of you prompting the model, the model will start prompting you. Examples here could include agents that remind you about tasks you forgot to complete, resolve customer issues before support tickets are filed, or debug and ship code fixes automatically. This shift represents a new paradigm where AI products behave more like humans and less like tools. We’re already starting to see this dynamic with products like OpenClaw, Poke, and more - and we’ve only scratched the surface of capabilities here. We’re accepting applications for the next cohort of a16z speedrun – If you’re building the next generation of AI products, apply online.

Proactive AI Agents Today’s AI products are reactive. You give the model a prompt, it responds with an answer. These are useful, but I’m excited about products that take this further and shift the paradigm from “ask → answer” to “observe → act." These agents will continuously monitor context in the background across all of your connected tools and data, predict what matters, and take action before being asked to do so – much like a human does. So instead of you prompting the model, the model will start prompting you. Examples here could include agents that remind you about tasks you forgot to complete, resolve customer issues before support tickets are filed, or debug and ship code fixes automatically. This shift represents a new paradigm where AI products behave more like humans and less like tools. We’re already starting to see this dynamic with products like OpenClaw, Poke, and more - and we’ve only scratched the surface of capabilities here. We’re accepting applications for the next cohort of a16z speedrun – If you’re building the next generation of AI products, apply online.

Kenan Saleh

128,383 Aufrufe • vor 3 Monaten

New patch is here with Elena buffs! I thought that I could make a little 'before & after' to showcase these changes using a few examples of when they can be applicable. Leopard Snap, SA1 and Moon Glider are all much better tools overall. I hope this helps! #SF6_Elena

New patch is here with Elena buffs! I thought that I could make a little 'before & after' to showcase these changes using a few examples of when they can be applicable. Leopard Snap, SA1 and Moon Glider are all much better tools overall. I hope this helps! #SF6_Elena

Mystic

19,505 Aufrufe • vor 8 Monaten

Demis Hassabis, CEO of Google DeepMind: "some jobs will disappear, but better and more meaningful ones will take their place" and the advice that followed: "if I was talking to a class of students right now, I'd tell them to get really good with AI, even better than I am" 31 minutes on what AI does to your job, your work, your next move Demis Hassabis and the CEO of Anthropic in one room probably the best conversation you'll find on this topic the ones who listen won't be the ones replaced, they'll be the ones building and shipping that's exactly why I put together a step-by-step guide on building your own AI agent agents are the part of AI moving fastest right now, the full walkthrough is in the article below

Demis Hassabis, CEO of Google DeepMind: "some jobs will disappear, but better and more meaningful ones will take their place" and the advice that followed: "if I was talking to a class of students right now, I'd tell them to get really good with AI, even better than I am" 31 minutes on what AI does to your job, your work, your next move Demis Hassabis and the CEO of Anthropic in one room probably the best conversation you'll find on this topic the ones who listen won't be the ones replaced, they'll be the ones building and shipping that's exactly why I put together a step-by-step guide on building your own AI agent agents are the part of AI moving fastest right now, the full walkthrough is in the article below

Anatoli Kopadze

15,625 Aufrufe • vor 2 Monaten