cathiedwood / Cathie Wood is on Nostr

Founder, CEO and CIO ARKinvest. Thematic portfolio manager for disruptive innovation, mom, economist, and women's advocate. Disclosure: bit.ly/1C5DBVL

Twitter feed generated by @npub14djhxfng7rfaqqh8fhl2h2gy87vmze0xc7mhy6p5x8a0zx57z2mqffgtmk

Last Notes

2023-06-28 19:30:51

Profound.
Quoting @ARKInvest:
The promise of curative therapies can shift our healthcare spend from managing chronic symptoms to curing disease with one-dose therapies. This weekend at the ADA, Vertex Pharmaceuticals presented data on six patients with diabetes.
🧵 by Analyst @aurmanARK ⬇️.

2023-06-23 19:04:29

We just finished another exciting brainstorm on #Tesla 's planned Dojo ramp, its ramifications for FSD and Nvidia, the likelihood of a #bitcoin ETF, and the first topical gene therapy for a rare and debilitating skin disorder. Stay tuned for the summary discussion with Nick and Sam in our partnership with Public on Tuesday!
Quoting @ARKInvest:
This week on The Brainstorm, Associate Portfolio Manager @GrousARK and Director of Research, Autonomous Tech & Robotics @skorusARK discuss Reddit’s blackout, Toyota’s EV plans, LVMH + Epic Games, CRISPR rice and Blackrock’s spot bitcoin fund filing. Watch. arkinv.st/3XAPphD

2023-06-23 18:50:18

If successful, this incredible ramp in compute will increase the odds that #Tesla will be the first to roll out a nationwide autonomous taxi platform, which we believe is a winner-take-most #AI-driven opportunity with SaaS-like margins.
Quoting @downingARK:
Tesla forecasts ramping up to 100 exaflops of AI training capacity by Q4 2024. That's a huge number that implies an over 20x scaling from the 4.6 exaflops disclosed at AI Day 2022 (14k Nvidia A100 GPUs), and over 50x the A100 capacity discussed in 2021.
This implies a compound annual growth in training capacity of 273% from 2021 to 2024 (if they hit their target), based on the 5,760 A100s they disclosed at CVPR 21.
Here are some additional thoughts / read throughs:
1. At AI Day 2022, Tesla projected to have their first Dojo exapod in production by Q1 23, scaling up to 7 exapods in Palo Alto over time. The July 23 production date on the chart, assuming they're not ignoring an already in-production pod, implies Tesla is a bit behind on exapod #1, but plans a faster, larger ramp to ~28 exapods by Q1 24 to reach capability of 100k A100s.
2. If the new capacity is all Dojo, and not Dojo + Nvidia mixed), 300k A100 equivalent performance is just under some estimates of Nvidia's total A100 SXM shipments over the last 12 months (NextPlatform estimates 350k server GPU sales of the variety Tesla is augmenting / replacing with Dojo, I'm assuming most of these were A100s as H100 started ramping recently)
3. The chart appears to be using flops as the measure of training compute. In reality, a lot more goes into end-use performance than just flops. At AI Day 2022, Tesla estimated that 4 Dojo cabinets (0.4 exaflops) could replace 4,000 A100s (1.2 exaflops) for autolabelling. This is made possible because of the increased compute density and software optimizations Tesla expected to achieve. So either they haven't been able to achieve the optimizations they thought they could, or 2024 training capability could be even higher than this chart suggests (in terms of A100 equivalent capability).
Additional assumptions:
- 28 exapods by Q1 24 Tesla is exclusively adding Dojo capacity after July, and hasn't added Nvidia capacity since August. The number of exapods would be lower if they plan ramp Nvidia capacity (i.e. H100s) in parallel, especially considering H100s are 4-6x more performant than A100s at AI training, per Nvidia.
Sources:
Nvidia Unit Sales: nextplatform.com/2023/05/01/…
AI Day 2022: piped.video/watch?v=ODSJsviD…
CVPR 21: piped.video/watch?v=eOL_rCK5… https://piped.video/watch?v=eOL_rCK59ZI&t=29533s https://piped.video/watch?v=ODSJsviD_SU&t=8650s https://www.nextplatform.com/2023/05/01/just-how-big-are-nvidias-server-and-networking-businesses/

2023-06-23 18:42:12

Take a look at how severe this Fed tightening cycle has been compared to past tightening cycles, including the one in 1980-81 that crushed inflation. So far, unprecedented Fed tightening has broken the regional banks and commercial real estate. What will deflation destroy next?
https://nitter.nostr.sc/pic/media%2FFzUlLc9WwBINm9r.jpg

2023-06-09 04:47:09

Like you, I was early in my career when you nailed the platform shift that ushered in the internet age. Thank you, @pmarca, for your perspective and inspiration as AI catapults us into an even more profound platform shift that could transform the lives of everyone on earth.
Quoting @pmarca:
Why AI Will Save The World
By Marc Andreessen
The era of Artificial Intelligence is here, and boy are people freaking out.
Fortunately, I am here to bring the good news: AI will not destroy the world, and in fact may save it.
🧵 https://nitter.nostr.sc/pmarca

2023-06-09 03:51:30

Truth wins out!
Quoting @skorusARK:
The news today is great for EV adoption in the US.
It's also great for using capital efficiently. Funds should be spent on the lowest cost highest performance charging stations. Not wasted on a fractured network that costs more to deploy anyway.
https://nitter.nostr.sc/pic/media%2FFyIVZqqWYAAFc_V.jpg