Technological Velociraptor retweeted

AJ Investment Research@alojoh5h
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SpaceX is a neocloud. You can see it in their segment disclosure: $7.6 billion or 52% sits in SI which is almost entirely neocloud business. It's also the by far fastest growing segment, ie SpaceX turns increasingly into a neocloud. This makes other neoclouds, not launch providers, SpaceX's primary competitors and is the real reason why Elon all of a sudden found an interest in them and starts posting stuff about them.
Technological Velociraptor retweeted
Great essay!
"If mathematical truths exist outside of human minds, awaiting discovery by any intelligence powerful enough to pursue them, then AI’s achievements are surely something to rejoice about. Why should it matter who or what makes the discoveries? But if mathematics is a creative human endeavor—a way of exercising our ingenuity and sharing those experiences with other people—then something achingly precious may be lost when the machines take over and leave us behind."
In this latest dispatch from the front lines of math in the age of AI, I tried to tell it like I see it. theatlantic.com/ideas/2026/1…
RT @ramez: Dreams of AI ending aging and of AI killing everyone both rely on this fallacy.
It's understated here how much we lack ground…
This quoted post is unavailable.
Technological Velociraptor retweeted
“We're the largest owner of data centers in the world. That puts us in touch with the six hyperscalers, because we work for all of them. So we know what's happening almost everywhere in this ecosystem.”
Blackstone CEO Stephen Schwarzman reveals how a 2015 bus ride with Jack Ma led to his firm being the world’s largest data center owner
“We did see the whole AI revolution, and that's just because of an accident. When I was in China in 2015, sitting on a bus with Jack Ma, who is the founder of Alibaba, and he started talking about that.”
“I literally had no idea what he was talking about, and he explained that this would be the most consequential technological change which would change the world.”
“So I have a bunch of academic relationships, one of whom was the head of MIT. He said, ‘Jack's underselling this’. So I said, ‘how do you know?’ He said, ‘because we invented AI at MIT.’”
“And we positioned the firm at Blackstone in this unique way where we bought a very large data center, a company, in 2021 for $10 billion. It's now 15 times larger.”
“We're the largest owner of data centers in the world. That puts us in touch with the six hyperscalers, because we work for all of them. So we know what's happening almost everywhere in this ecosystem.”
Technological Velociraptor retweeted

Pirat_Nation 🔴@Pirat_NationOct 25
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Modders have unlocked hidden AI compute performance on NVIDIA’s RTX 20, 30 and 40-series GPUs.
The modifications remove software-level limits on certain Tensor Core operations, without changing the hardware or flashing a new VBIOS.
- RTX 4090: 165.6 → 331.6 TFLOPS FP16 Tensor Core throughput
-RTX 3090 Ti: 87.5 → 157.4 TFLOPS BF16 performance
- RTX 2080 Ti: 59.9 → 111 TFLOPS FP16→FP32 performance
- RTX 3090: 73.0 → 122.8 TFLOPS in a PyTorch GEMM test
The gains are mainly relevant to AI and compute workloads, not gaming.
Technological Velociraptor retweeted
This is exactly what people suspect Salesforce is like.
Latest (and probably penultimate) Building Slack post is up: buildingslack.com/salesforce…
What it's like being eaten by the whale
Technological Velociraptor retweeted
“We have starlink and launch revenue”
GOOG, META, AMZN, MSFT, ORCL:
Replying to @chamath
Pretty much.
As of the past few weeks, debt markets have almost entirely shut off access to money for any company that doesn’t have substantial revenue independent of AI data centers.
SpaceX closed $40B of debt for GPUs, but we’re investment grade and have Starlink & launch revenue.
That means the 200+ neoclouds are going to see guppy-level death and consolidation. Some will make it through, but not many.
Technological Velociraptor retweeted
SpaceX is like a shark in a small fish aquarium to neoclouds
As the discussion on neoclouds and SpaceX’s compute leasing business heats up, I dived into SpaceX’s Q3 2026 earnings call and earnings report to understand: Is SpaceX the best neocloud of all?
Is it a real risk to the neoclouds out there? How much of SpaceX’s business is neocloud? Who are SpaceX’s customers, and how much does each contribute to the SI segment’s revenue? How many GPUs are there, and what’s the plan?
I break down the SI (AI) segment revenue and discuss Neoclouds, GWs, GPUs, CIP, CAPEX and more.
This one is better read after my first article on SpaceX.
kakashiii111.substack.com/p/…
Technological Velociraptor retweeted

Andrew Curran@AndrewCurran_19h
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GMO Internet Group CEO Masatoshi Kumagai says that the internet itself is on the verge of collapse due to missuse of AI, and frames this event as a national crisis.
Andrew Curran@AndrewCurran_Oct 25🇨🇦
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A cloud VPS service from Japan's massive GMO Internet Group used by foreign-exchange traders has been hacked. Attackers breached the servers, stole customer credentials, and executed balance-destroying trades across over 70 brokerages. GMO has asked government agencies for help.
Technological Velociraptor retweeted

Andrew Curran@AndrewCurran_12h
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Shigeru Miyamoto, creator of Super Mario and The Legend of Zelda, on generative AI and the evolution of videogame creation:
'As you mentioned earlier, this is an era where even people who aren't game designers can make games. If we broaden the definition of a 'game,' I think the era has already arrived where everyone can make games. I had always thought it would be ideal for those boundaries to disappear, so I think this has become a very good era.'
youtu.be/7M3S78Igxak?si=eaGY…
Technological Velociraptor retweeted
"the neural nets (AIs) have improved our understanding of the game immensely"
“it’s just that my understanding is not good enough. And that is useful.”
“I rarely play against engines at all because they just make me feel so stupid and useless.”
the mathematicians pushing back on AI say that it might help with proofs, but not our HUMAN UNDERSTANDING of math.
so I got curious how chess players think AI engines help them better understand chess.
and found this clip of Magnus Carlsen:
“the neural nets have improved our understanding of the game immensely.”
watch his HUMILITY towards these engines:
“it’s just that my understanding is not good enough. And that is useful.”
“I rarely play against engines at all because they just make me feel so stupid and useless.”
Technological Velociraptor retweeted
WSJ: "Wall Street has rested much of its optimism about the stock market on a surge in corporate earnings. The catch is that the profit growth is being driven by a handful of AI giants. Analysts expect companies in the S&P 500 to report a 30% jump in third-quarter earnings from a year ago, boosting investor confidence that the good times can keep rolling so long as businesses keep printing money. But just two companies—Nvidia and Micron—account for 34% of that growth. And only 10 companies—including Broadcom and Meta—account for roughly two-thirds of the profit growth."
Especially as investor concern about debt levels and AI CAPEX levels intensifies, it's essential to recognize the role circular spending is playing in propping up profit growth. AI is not playing a role in boosting profitability outside of tech where competition for limited resources is inflating the cost of compute. To quote Torsten Slok: "Despite massive investments and widespread hype around artificial intelligence, the technology has delivered zero financial payoff to corporate America outside of tech. Revenue per worker is rising for the Mag 7 but is flat for the S&P 493. Profit margins are rising for the Mag 7 but are flat for the S&P 493. And there are still no signs of AI boosting productivity growth."
As I warned in my September report on "The AI Trade" (sageroadresearch.com/collect…), the impact of circular spending will recede even if AI CAPEX doesn't contract. To quote the report:
"Even before considering the viability of AI ROI, comps are a significant concern for US equities over the next 12 months. UBS has estimated that hyperscaler AI CAPEX will increase roughly 75% this year, 25% next year, and only 6% in 2028. That rate-of-change slowdown will certainly hit the semiconductor industry the hardest and that’s undoubtedly contributed to Nvidia’s stock performance this year, only slightly outperforming the S&P 500 despite blockbuster earnings growth (the company is expected to account for a staggering 18% of the S&P 500’s total YoY earnings growth in 2026). However, we also believe market participants have neglected the impact circular spending is having on hyperscaler growth and the trickle-down impact to companies across sectors. As the rate of increase decreases, we expect earnings growth to broadly slow. And that’s before considering how everything we’ve laid out in this report could lead to spending that falls below estimates."
I do expect a pullback in CAPEX as rates stay higher for longer and AI ROI continues to fall short of investor expectations. The market is punishing plummeting FCF regardless of earnings growth--see Bloom Energy post earnings this week. In September, I told my clients to reduce, if not eliminate exposure to AI picks and shovels. I stand by that today. Message me if you'd like to learn more about Sage Road Research and our investment track record.
Technological Velociraptor retweeted
“a bursting AI bubble would be a much bigger shock to the economy than the bursting IT bubble at the end of the 1990s that brought us to the edge of a liquidity trap. Yet the Fed has much less room to cut rates now than it did then: the current Fed funds rate is only 4 percent. So if huge AI spending is a bubble, and that bubble bursts, I can’t see how the U.S. can avoid plunging into a liquidity trap — a situation in which the Fed simply lacks the tools to get us out of a slump. If this should happen, the economy is likely to remain depressed for years.”
-@paulkrugman
anyone have a spare john deere
Replying to @log4j
I don't know how to explain this but if anyone can do for tractor software what you have done for TVs, they'll become some type of mythical American hero whose name is etched in stone for 100 years
Technological Velociraptor retweeted
Maybe we should delete the 99% of stuff that is just wasteful and friction-causing, the main purpose of which seems just to be to increase attack surface.
xitter.cf/unusual_whales/status/…
Yes, its in Elon's interest to talk down neocloud & bash memory makers, but AI industry had been reluctant to bash each other's business case due to the overall effect it would have.
You can bet Elon's comment here will be bad for neocloud & Nvidia/memory maker shares px next week.
Once the myth of unlimited computing demand goes away, ppl are going to start looking under the hood. There won't just be a couple of cockroaches.
When I saw a mice running across my kitchen a few yrs ago, I realized I had a problem. Once investors understand bond mkt has completely turned on neoclouds & the implication of that, maybe we will see some serious look at this.
Recall that back in 2008, there were no shortage of bulls on CNBC telling us how great the valuations were, even as mkt was crashing. It will be no different this time around when things crash.
No amount of Dan Ives & Tom Lee interview on CNBC can change the reality.
Technological Velociraptor retweeted

Joe Weisenthal@TheStalwartOct 24
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We obviously haven’t had the major jobs wipeout yet. But you read stuff like this. And you read what economics students themselves are saying about working with AI (ht @odavis_h) and it’s hard not to feel like the seismic shift is on its way.
Replying to @Neil_Irwin
He goes so far as to say that if he were to run the White House CEA today he'd do it with a lot of reliance on Claude and friends.
Technological Velociraptor retweeted
It also gets the Apple story wrong. The right version of that history is that Apple—and Foxconn—tapped into existing manufacturing capabilities in China. Before Apple, China already had a massive network of component producers and an incredibly skilled labor force. Apple repurposed and added some of these capabilities to iPhone production on top of that baseline. Apple should get the credit for jump starting handset production in China, but the spillover story is in the other direction as well. Apple went to China because of China’s existing general manufacturing capabilities in the first place and it was able to retool and upgrade these existing capabilities for its own production. That is not Arizona story at all.
1/ Dan Wang’s NYT essay on TSMC's Arizona plant argues that TSMC is doing for America what Apple did for China. But the analogy rests on two assumptions and it's not clear that either one of them is holding.
nytimes.com/2026/10/23/opini…








































