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Only thing which would exponentially rise by end of the year are the applications to this university !
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Alan Turing
2.2K posts
@SawyerMerritt This could finish at least one Automotive Legacy Giants if not many.
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Tesla's Terafab chip manufacturing project launches tomorrow.
Elon previously on advanced chip supply: "Even when we look at the best case output of all our key suppliers, it's not enough. In order to remove the probable constraint in 3-4 years, we'll have to build a very big fab, domestically. I know fabs are hard, but we do a lot of hard things."
(Tesla's AI5 chip pictured below)
Elon Musk@elonmusk
Terafab Project launches in 7 days
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Tesla in EU: "Nudge the wheel every 15 secs or I'll tattle!" Tesla in USA: "Sit back, no driver needed, we're basically robots now."
Same car, same tech, similar roads. EU hides behind "regulations" while shoving their drivers 10 years into the Stone Age. 😂
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@legalsifter_AI @lilcalfmuscle Difficult but not impossible.
It's months away.
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Almost there.
Inflection point price based ✅
Inflection point time based ❌
Alan Turing@HerrAlanturing
2026-27: 70k 2028-29: 500k+ Hang in. Let it load, catch the inflection point of the recoil.
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This is healthy.
Recovery will be galloping
Alan Turing@HerrAlanturing
BTC to previous cycles ATH.
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2026-27: 70k
2028-29: 500k+
Hang in. Let it load, catch the inflection point of the recoil.
Alan Turing@HerrAlanturing
BTC to previous cycles ATH.
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a16z@a16z
Marc Andreessen thinks AI is the biggest technological revolution of his life. In this conversation with a16z's Jen Kha, originally an a16z internal meeting, Marc covers: - The sheer scale of the AI revolution - How the infrastructure of >5 billion people on mobile gives AI instant distribution - Why the best of the AI application companies will be deep tech companies building their own AI - The AI race with China and how the wrong legislation could set America back - Why embracing the future is a prerequisite to success in venture 00:00 Introduction 01:51 What inning are we in? 09:11 Revenue growth vs burn 15:52 GPUs, compute & infrastructure: Shelf life and bottlenecks 24:23 China, open source & the global AI race 32:46 Policy & regulation: State vs federal dynamics 41:54 AI pricing models: Usage-based vs value-based 47:10 Open vs closed models: Tradeoffs and long-term winners 50:42 Incumbents vs startups: Who has the advantage? 1:08:44 Jobs, labor & how society adopts AI at scale @pmarca @jkhamehl
QST
QME
We have just used the @Nvidia H100 onboard Starcloud-1 to train the first LLM in space!
We trained the nano-GPT model from Andrej @Karpathy on the complete works of Shakespeare and successfully ran inference on it.
We have also run inference on a preloaded Gemma model, and we plan to try more exciting models in the future.
Getting the first H100 to work in space required a lot of innovation and hard work from the incredible Starcloud team to make this breakthrough.
This is a significant first step toward moving almost all computing off Earth to reduce the burden on our energy supplies and take advantage of abundant solar energy in space! 🚀
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@pb16zz AI compute HW and infrastructure (in GW) will increase 10x every year. The Space based data centers would be optimal.
-No cooling.
-Abundant Solar Energy.
2 US giants are building a Proto Lab already for this..
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@HerrAlanturing I struggle to to find the intersection of space and ai beyond satellite companies, likely a skill issue on my behalf
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Only few lucky people Remember my Nvidia call ,but NOW you should be moving your crypto funds into Space+AI companies. There are only few publically listed companies which probably are available for pennies right now. 3-4 years down the line, you will see World change around these companies.
Alan Turing@HerrAlanturing
My update on $nvidia on Oct 2022 and Dec 2022. Remember I told u to buy n hold NVIDIA...a year back ... when it was 120$ ...today it is 470$ Today I gave a new recommendation to buy something. (Screenshot attached)
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@BTCXBT0 Dead cat bounce.
Check history. When time comes i will announce
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