Anyone who tells you they know where Al is headed is lying to you.

I'm currently heavy into semiconductors, memory and uranium (to fuel the data centers), the uranium is a 10 year long
Anything that uses resources to build more ai is a good buy right now. Even if its just raw material. Copper bars would legit be a good buy. Its going to take lots of the world's copper supply to build these centers. Start stealing copper from people's house and sit on it then sell later
 
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If some tech influencer claims they have a roadmap for the next five years of AI and machine learning, here's how you can be prepared, they are just trying to sell you a course. I have 2 friends friend who are Al researcher at one of the top frontier labs and I'll tell you an open secret in the Silicon Valley. The very people building these massive models have absolutely no idea where we are actually headed.

One thing you need to realize about AI is AI isn’t a closed engineering problem lilike say building a car. we know everything there is to know about a car but for AI it's this strange living learning developing thing that we still don't fully understand how or why it works at scale. It’s not closed or open in the normal sense.

AI has advanced so rapidly with so much money being poured into it that the timeline for major breakthroughs has collapsed so quickly that the engineering has entirely outpaced the science. Like just 2 years ago we learned about emergent properties. AI learning stuff it wasn't trained for explicitly. AI being fed coding corpus somehow learning French in the process etc. Why this happens still not properly understood. Just theories about information hierarchies.

Much of the tech industry rn is stuck in massive hype cycle. Everyone is moving where ever the investor money blowing, in whichever way the wind turns. There is no master plan or milestones these companies operate on. They are just reacting to what they've built rather than executing a predictable master plan. Like oh wow AI did this. Interesting. Not validation of theory but discovery. No body can tell with 100% certainty that this or this is going to happen. If he does he is either some ultra genius who can see the future or someone who has no idea what he is talking about. We will just have to wait and watch how all this will play out in this decade

Too high IQ for the Zoomers on this forum
 
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How did it pass the SOC2 compliance then? And how is he running the LLMs? Is it on bedrock or some custom orchestration.

Also, if the whole team just runs off Claude why do they need him a highly paid Head of AI to manage an API key.
Ain't no way you believe this nigga 😹

If this was true I would have kidnapped this nigga a long time ago
 
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The so-called renowned analysts are always so good at underestimating emerging trends and making terrible predictions lol
View attachment 5078571
Exactly, tech CEOs make ridiculous claims about the capabilities of AI to hype up their products, but that doesn't mean big things are happening just with a more realistic timeline
 
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Ain't no way you believe this nigga 😹

If this was true I would have kidnapped this nigga a long time ago
I think he is larping. He is dodging the real questions and just making very vague comments
 
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I think he is larping. He is dodging the real questions and just making very vague comments
This guy claimed his dad owns a 700b market cap business, ofc he is lying

That's JP Morgan lvl
 
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@Sayori
 
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Is your thesis leaning more toward building/optimizing models or toward interpreting it. The black box problem understanding how these massive models actually arrive at their answers in the holy grail rn
Building/optimizing models. Which is better in your opinion?
 
Jason, what does a 17 year old even study w the AI bubble at hand, is STEM going to be dead soon and professions like law , doctors, hands on technical labourers make the money ITcels and softwarecels made during the software/internet boom. @Jason Voorhees
If some tech influencer claims they have a roadmap for the next five years of AI and machine learning, here's how you can be prepared, they are just trying to sell you a course. I have 2 friends friend who are Al researcher at one of the top frontier labs and I'll tell you an open secret in the Silicon Valley. The very people building these massive models have absolutely no idea where we are actually headed.

One thing you need to realize about AI is AI isn’t a closed engineering problem lilike say building a car. we know everything there is to know about a car but for AI it's this strange living learning developing thing that we still don't fully understand how or why it works at scale. It’s not closed or open in the normal sense.

AI has advanced so rapidly with so much money being poured into it that the timeline for major breakthroughs has collapsed so quickly that the engineering has entirely outpaced the science. Like just 2 years ago we learned about emergent properties. AI learning stuff it wasn't trained for explicitly. AI being fed coding corpus somehow learning French in the process etc. Why this happens still not properly understood. Just theories about information hierarchies.

Much of the tech industry rn is stuck in massive hype cycle. Everyone is moving where ever the investor money blowing, in whichever way the wind turns. There is no master plan or milestones these companies operate on. They are just reacting to what they've built rather than executing a predictable master plan. Like oh wow AI did this. Interesting. Not validation of theory but discovery. No body can tell with 100% certainty that this or this is going to happen. If he does he is either some ultra genius who can see the future or someone who has no idea what he is talking about. We will just have to wait and watch how all this will play out in this decade
 
  • +1
Reactions: Jason Voorhees
If some tech influencer claims they have a roadmap for the next five years of AI and machine learning, here's how you can be prepared, they are just trying to sell you a course. I have 2 friends friend who are Al researcher at one of the top frontier labs and I'll tell you an open secret in the Silicon Valley. The very people building these massive models have absolutely no idea where we are actually headed.

One thing you need to realize about AI is AI isn’t a closed engineering problem lilike say building a car. we know everything there is to know about a car but for AI it's this strange living learning developing thing that we still don't fully understand how or why it works at scale. It’s not closed or open in the normal sense.

AI has advanced so rapidly with so much money being poured into it that the timeline for major breakthroughs has collapsed so quickly that the engineering has entirely outpaced the science. Like just 2 years ago we learned about emergent properties. AI learning stuff it wasn't trained for explicitly. AI being fed coding corpus somehow learning French in the process etc. Why this happens still not properly understood. Just theories about information hierarchies.

Much of the tech industry rn is stuck in massive hype cycle. Everyone is moving where ever the investor money blowing, in whichever way the wind turns. There is no master plan or milestones these companies operate on. They are just reacting to what they've built rather than executing a predictable master plan. Like oh wow AI did this. Interesting. Not validation of theory but discovery. No body can tell with 100% certainty that this or this is going to happen. If he does he is either some ultra genius who can see the future or someone who has no idea what he is talking about. We will just have to wait and watch how all this will play out in this decade
I feel like electrical engineers/ mechanical STEMcels will stay evergreen, since you need EE niggas for a large part of the AI supply chain, can always get into power system designs etc for the AI setup if not pivot to the semiconductor industry specialise in VLSI etc and get into the chip manufacturing side of AI. Honestly, if you look at the entire AI supply chain as of now , i feel like an Electrical n computer engineering degree w a Masters in even Material science etc has solid scope to print money, since u need material science + chem knowledge for the chip fabrication part that most ELC engineers lack out on + they also have software n coding knowledge needed and can be prepared to pivot wherever the AI wind takes us. But yeah imo, even sm like material science / chem engineering is an underrated STEMcel degree for the raw material part of the AI supply chain. I honestly dont know tbh ive very limited knowledge on this matter , i picked a degree out of passion/interest. And yeah picking up AI/ML directly for undergrad is prolly retarded since u need to be v high IQ to actually make it on the forefront of AI/ML research. And w respect to the investing and stock part,im geniunely clueless tbh .@imontheloose share your thoughts @Jason Voorhees
 
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