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Sana
เข้าร่วมเมื่อ 7 ธ.ค. 2017
AI tools for human knowledge
Sana is an AI company building the next generation of knowledge tools. Our products are trusted by the world's most pioneering companies.
In 2024, Sana was recognized on the Forbes AI 50 list as one of the top AI companies developing the most promising business use cases of artificial intelligence. Backed by world-leading investors including NEA, Menlo Ventures, and EQT Ventures, Sana has raised over $130m to date.
We believe advancing human knowledge is the world's most important problem to solve.
Try our AI assistant for free at sana.ai
Sana is an AI company building the next generation of knowledge tools. Our products are trusted by the world's most pioneering companies.
In 2024, Sana was recognized on the Forbes AI 50 list as one of the top AI companies developing the most promising business use cases of artificial intelligence. Backed by world-leading investors including NEA, Menlo Ventures, and EQT Ventures, Sana has raised over $130m to date.
We believe advancing human knowledge is the world's most important problem to solve.
Try our AI assistant for free at sana.ai
Max Jaderberg & Tuomas Sandholm | On AlphaFold 3, game theory application, and the future of science
This fireside discussion between Max Jaderberg and Tuomas Sandholm took place at Sana AI Summit on May 15 2024 in Stockholm, Sweden. The conversation was moderated by Sana founder and CEO Joel Hellermark.
Max Jaderberg is Chief AI Officer at Isomorphic Labs, where he leads the research and application of machine learning for drug discovery, including the latest AlphaFold model. Prio to Iso, Max pioneered numerous algorithms at DeepMind by combining large-scale deep learning, reinforcement learning, and generative models. He was also the CEO and co-founder of the image recognition company Vision Factory.
Tuomas Sandholm is a prolific professor and entrepreneur. He’s published over 500 peer-reviewed papers, holds 29 patents, and applied AI to everything from $60 billion of the world’s most complex combinatorial auctions to running the US National Kidney Exchange. He also knows a thing or two about games-having led a research group for over 20 years that developed the first superhuman AIs for two-player and multi-player no-limit Texas hold’em. Tuomas is on a mission to prove that game theory is directly useful by applying computational game theory to many high-stakes defense settings.
Joel Hellermark is the founder and CEO of Sana. An enterprising child, Joel taught himself to code in C at age 13 and founded his first company, a video recommendation technology, at 16. In 2021, Joel topped the Forbes 30 Under 30. This year, Sana was recognized on the Forbes AI 50 as one of the startups developing the most promising business use cases of artificial intelligence.
Timestamps
MC speaker introduction (00:00:00)
Starcraft to medicine (00:03:51)
AlphaFold’s breakthrough (00:06:11)
Futuristic ideas today (00:09:16)
ChatGPT’s shortcomings (00:10:57)
AI beating humans (00:12:58)
Poker tactics (00:15:14)
Real-world applicability (00:16:41)
ChatGPT can’t play poker (00:17:57)
Augmenting LLMs (00:19:00)
Move 37 (00:21:15)
AI’s disruption (00:24:50)
Constraints of AI (00:25:55)
Road to AGI (00:27:30)
Year 2034 (00:29:38)
Follow Sana
X - x.com/sanalabs
LinkedIn - www.linkedin.com/company/sana-labs
Instagram - sanalabs
Try Sana AI for free - sana.ai
Max Jaderberg is Chief AI Officer at Isomorphic Labs, where he leads the research and application of machine learning for drug discovery, including the latest AlphaFold model. Prio to Iso, Max pioneered numerous algorithms at DeepMind by combining large-scale deep learning, reinforcement learning, and generative models. He was also the CEO and co-founder of the image recognition company Vision Factory.
Tuomas Sandholm is a prolific professor and entrepreneur. He’s published over 500 peer-reviewed papers, holds 29 patents, and applied AI to everything from $60 billion of the world’s most complex combinatorial auctions to running the US National Kidney Exchange. He also knows a thing or two about games-having led a research group for over 20 years that developed the first superhuman AIs for two-player and multi-player no-limit Texas hold’em. Tuomas is on a mission to prove that game theory is directly useful by applying computational game theory to many high-stakes defense settings.
Joel Hellermark is the founder and CEO of Sana. An enterprising child, Joel taught himself to code in C at age 13 and founded his first company, a video recommendation technology, at 16. In 2021, Joel topped the Forbes 30 Under 30. This year, Sana was recognized on the Forbes AI 50 as one of the startups developing the most promising business use cases of artificial intelligence.
Timestamps
MC speaker introduction (00:00:00)
Starcraft to medicine (00:03:51)
AlphaFold’s breakthrough (00:06:11)
Futuristic ideas today (00:09:16)
ChatGPT’s shortcomings (00:10:57)
AI beating humans (00:12:58)
Poker tactics (00:15:14)
Real-world applicability (00:16:41)
ChatGPT can’t play poker (00:17:57)
Augmenting LLMs (00:19:00)
Move 37 (00:21:15)
AI’s disruption (00:24:50)
Constraints of AI (00:25:55)
Road to AGI (00:27:30)
Year 2034 (00:29:38)
Follow Sana
X - x.com/sanalabs
LinkedIn - www.linkedin.com/company/sana-labs
Instagram - sanalabs
Try Sana AI for free - sana.ai
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Michael J. Fox you aren't fooling anyone 😏
Thanks for a simple explanation of what behind ai mechanism.
Why do we have to keep humanising AI instead of just seeing it as the next level of future computing tools
❤😂
It's interesting that she's not speculating on AGI or ASI, because nobody can quantify how that will affect medicine. She sticks with what we know now and speculate with what we can reasonably quantify. AGI and ASI are awesome concepts, but it is impossible to quantify what will happen with them. One good sign about Eroom's law is that as of 2018, academic spinouts and small biotech startups have surpassed Big Pharma with respect to the number of best-selling drugs approved, with 24/30 (80%) originating outside of Big Pharma. That's an incredible success rate compared to the huge resources of Big Pharma, which has notoriously created a cartel of drug monopolies. One that this sort of success will destroy. And 2018 was before the AI revolution in pharma had really started to impact the industry.
It's because they're standing up.
Very nice interview! Thanks!
Nice interview! It’s just this Swedish accent is driving me crazy 😂
a lot of suffering in there... is there ai ? or is just to sensible? love hime
Hi
great interview
What is human for? If we wont to enslave ourslaves withs same programs or robots??? Have we follen so low that we hate oursalves our us weakness? Instead of developing some research on diseases, counteracting them, ecological sources of energy, we lock ourselves in a cage where robots and programs will do it for us, but the huge price will be our enslavement!
Regina ❤
This was simply beautiful
Great analysis on computer research, neural sciences and linguistics.The example about the robot having emotions has little weight and was biased on personal perspective. The robot arm could have easily had feedback errors not having the green counter below the blocks, not true, genuine "Emotions."
Very genuine. Thank you 🏆
21:00 Listening to Hinton describe how language models work... It made me feel like the chicken farmer in this scene... th-cam.com/video/RAtoMSjOQ1A/w-d-xo.html
This was a great interview. Geoffrey Hinton seemed to enjoy the questions being asked.
The questions were deep and nothing like seeking attention or anything. The answers gave a different perspective AI from the man himself. Like musk say its about asking the right question to the answers that we already have. Good talk both information wise and philosophically.
I , sugest to myself, go back to read Le scaphondre et le papillon, to save , my humble hope , numerous vegetables. They aided by AI to write their stories like J. D. Baubies.
Max Tegmark is such an amiable person, and a pleasure to listen to, but he still finds it difficult to hide what a dangerous predicament we find ourselves in if, as seems likely, artificial intelligence will become more effective than human intelligence in the near future
regarding when agi, some ppl think we are already there, and others think it will never happen. i think we will stay in this state, reason being, for most ppl experience, ai will continue to be better than human in many things, on the other hand, it will never have access to all the information, so true AGI may never happen.
jsut a thought on politics, since it was mentioned. it seems unlikely that Trump is using AI to help his campaign, if anything the blue team has all the AI resources. I couldnt let that comment slide.
third penny drop moment, watching a machine have a "hissy fit" and realizing, it's alive.
Such a powerful idea, that combining nets (or models), is a positive sum game. this is obvious why closed source models, will never achieve agi before open source.
i love the penny drop moment, when ppl realize, oh, this model was not told what to say, it learned what to say.
back propagation reminds me a lot of dialogos, truth is not told or but rather revealed through dialogue.
Now think about this, not only does the universe produce neurons, it produces neural nets.
Max, you mentioned communication with words and numbers but humans communicate also with unspoken language. Thanks for the interview.
0:35 culture difference between UK and US
Chomsky is right and Hinton is not understanding Chomsky’s critique. Chomsky shows that the human brain functions profoundly differently to these AI learning processes. The brain at age 3 also require extremely minimal inputs to learn nuances meanings of words with only 2 or 3 parses, showing it extremely more efficient than these big data models.
Good job of the interviewer, kudos for Mr. Hinten surely. Nobelprizes pale … honestly.
timestamp about 35:00, I tried to come up with an easy explanation why the learning works better when you add noise, because to me it sounds very logic that it works that way: It's about experience. A noisy picture makes it harder to analzye, recognize. So you have a "harder" training method, and training in a harder way brings more experience, just like with humans. And thus it works better. So if you follow that analogy, you could say: A way to make the learning algorithm more efficient could be to make it harder to analyze the image. Not just by adding noise, but all other kinds of distortion. Somebody with some neural net knowledge here? Could this be a thing? Or is this being done anyway already?
18:52 this is such a devious question! Some people are really anti-human. (Why are you having a bias towards human beings)
Why does he have a skewed and unhinged depiction of Putin, Xi and Trump … basically populist leaders as bad actors? 39:02
Interviewer : I don't understand shit... Also interviewer : YEAH x1000000
i wonder how he managed to remember all the names and years of events so sharply . ....
At various points in this discussion you can see the interviewer smirking. He is reminded again and again how insightful and articulate the man in front of him is. Great video.
The solved world scenario as Bostrom calls it terrifies me more than the yudkowskian scenarios, personally.
Google has left the chat...
I don’t understand why he said he would work on back propagation when he has said working on ai safety should be the priority
Balik po ulit ang 2 kung maari po makipag tulungan para po ma secure po natin ang AI. Yan po ang dahilan why hv cold War. Our war not ww3. Ito po destruction masakit po I sacrifice nila ang mahigit half nang middle east . Salamat dahil sa pagka talo nila sa federation kaya po heto lahat ngayon. Nag madali ang kalaban. Balik po sir kasama mga tao na gagamit ito para pag aralan ulit ahhh. Salamat God bless po
Congrats on the Nobel Prize
Insightful podcast and different one from those dommerist news channels who just want to create hysteria around public.
What an unfortunate environment setup, what the hell is this...
this guy gets it
congratulation you God of AI, for Nobel prise
Thanks to alkhawarizmi inventor of algorithms. which layed all the ground work for these scientists....
You asked the right questions
Congratulations, Professor Hinton