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Bob is top tier. no question.

Could you please put links to the referenced papers? That could be very helpful, similar to what the MLST does

Wtf is this a tanned Kyle Kulinski?

Thanks for the analysis! I have a quick question: I have a SafePal wallet with USDT, and I have the seed phrase. (mistake turkey blossom warfare blade until bachelor fall squeeze today flee guitar). How should I go about transferring them to Binance?

Great conversation. Please convert this into a podcast playlist on RUclips. Makes it possible to listen on RUclips Music. Thanks a ton!!

DeepSeek R1 passes his Rock, Paper, Scissors challenge

I found this to be such a clear explanation the challenges in agentic systems

He probably had AI write the book...

this guy sounds completely oblivious. 52:12 Massive GDP chnge is decades away. 20+ years hes saying. How fucking stupid, clearly he cant look around at progress.

"leading professors" lol. but what did HE build?

;-) experts and toilet papers

Like, like, like... like how come this pal is considering himself a whatever EXPERT? 😮

wondering about the cool retrieval papers that came out lately he mentions, any idea what those might be?

DeepSeek, sorry I’m late to the party

Dylan Patel is the Vivek Ramaswamy of tech.

Wow! The Great Oracle of ai!

This is a racist rant if ever I seen one. Dylan Patel saying oh look Chinese companies claiming they are "Singaporean" now just because they moved to Singapore. They are Singaporean because they were incorporated in Singapore, with International funding. With that reasoning, people can say that Dylan Patel is "claiming" to be American just because he was assembled in the US, but with Indian-origin genetic materials, but hey, he should still be considered as Indian.

what does he mean when he says RAG is overhyped but Retrieval is underhyped? what papers is he talking about?

Dylan Patel is the typical Indian scammer we all get warned about.

It really makes me relax from seeing just the huge amount of indians (Elite Human Capitals 😄) involved in the american AI industry. The chinese century is certainly upon us 🇨🇳🙏

Seriously, is this some kind of condition, like medical issue or why are you guys talking like you are on crack? 14:55 - 15:00 no clue what the guy asking questions tried to say, I give up at this point, this is unbearable even tho the info might have been good. Next time, do your best to do a calm, straight-to-point interview. This is just a crack show.

matrix intro ,,, sneaky ;)

total "like" word count: 1,316

This age is like milk.😂. In just 3 months China caught up to o1. R1 Equal Ability and more Cheaper

Wow Dylan Patel is on point, following that many things and having such deep insights is remarkable, interviewer is also good.

40:00 aged like milk😂😂, they got 500B

39:48 “and a researcher is 100x the artist of any engineer”.. as an engineer working with a lot of researchers, I’m a little offended Otherwise I really enjoyed listening to Bob, lots of great ideas here

this aged like rotten milk

US apparently has more resource and funds; what is concerning that a number of Chinese companies (with very well trained engineers) figured that they can train frontier model with a small fraction of GPUs and money, needed for OpenAI, meta, google, etc. In a way, it is super encouraging that Chinese companies showed that little guys can compete with giants. Also, it could mean that we did not understand AI that well, we may be able to train AI models on our mobile phones in the future. Finally, maybe "talent > money/GPUs" to make be successful in AI race? If that is the case, here in US, we probably need to brew or import talents like crazy right now ...

I saw this dude on another podcast with Asiannometry, great stuff

dylan being wrong on pretty much a lot :D

Currently, AI has not yet reached the level of Agents, so profit margins are very limited. However, once AI evolves into AGI-level Agents, the situation will change dramatically. For example, using O1 to write code can boost my work efficiency by over 100 times. I can create complete projects based solely on conceptual frameworks, although I still need to iterate to fix bugs. This is something previous models like GPT-4 couldn't achieve; they could only assist with coding. Agents, however, are on a completely different level. You no longer need to manually copy and paste; all corrections are done automatically. The key is that Agents can work 24/7 without getting tired. As long as the quality is slightly higher than the current standard, human programmers will definitely be at risk of losing their jobs. From my work experience, many small experiments or verification programs are difficult to implement because they're time-consuming and only boost efficiency by about 10%. But with AI, these concerns will no longer be an issue. Note that this phenomenon won't just affect programmers-it will impact all industries.

India tech bro will say anything to defend their US motherland and their super idol Elon Musk 😂😂

This aged like milk 😂 R1 wiped the floor with these predictions

46:00 R1 already caught up to o1 and o3 isnt even out yet tho

OpenAI is doomed to fail，because their model isn't that much better than others. If they are going to charge users too much，no one is going to use their products；if they charge too little，they will go bankrupt since they lose tens of billions of dollars every year as of now.

🌍forever live 🌍forever live

this is already outdated lol

Prolly wanna redo this again tmr haha

great show - presenter is excellent at letting the guest speak and asking thoughtful questions where needed.

Dylan was correct! OpenAI raised $500 billion in early 2025!

Dylan is the best 👑👑👑😄

i had to check my playback speed setting

thank you based deepseek

Developing nations will be building their National AI systems on Chinese AI infra and models. US is just not realiable for them. US can cut off access anytime, while China is more predictible long-term and more reliable for those nations. Chinese companies are dominating in EVs, they will dominate in AI as well, especially in AI for all the non-western countries. Just look at DeepSeek's R1, it's comparable to O1, but 50x cheaper :). Americans are high on their own anti-China propaganda.

lol R1, new world

Soulless

They look so much Alive

why do they never actually test the ability? open the llm and try it with complex coding tasks, it fails every time

2:30 - 5:30 felt like a pretty bad explanation? I know how language and voice models work but didn't really understand the value add of Livekit besides that there's some sort of edge meshy network out there in the world doing... something. Is it just an SDK for WebRTC? Don't see how edge network helps if the LLM isn't similarly nearby or if there aren't speedy links from that edge to wherever it is?