
Banish the hordes of thieving middlemen and embrace decentralized finance, sayeth #Anon.
us-west-1
Joined January 2012
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Anon retweeted
There is nothing special about this pullback.
Much of the panic surrounding neoclouds, AI capital expenditures, and the sustainability of the infrastructure buildout is simply the market searching for explanations for falling stock prices.
When AI stocks were rising, record capex was evidence of extraordinary demand. When those same stocks started falling, suddenly the same spending became evidence of an impending financial disaster.
One fact with two interpretations that depend entirely on the price action of the market.
Go back to August 1998.
The technology bull market had been running for about three years.Amid fallout from the Asian financial crisis and Russian ruble crisis, earnings expectations were deteriorating, valuations were elevated, and investors were becoming increasingly concerned about unprofitable Internet companies.
On August 6, the New York Times published an article titled "Market Gyrations May Point to Shift in Investor Strategy." One fund manager declared, "Boring is going to outperform sexy."
Investors were supposedly abandoning momentum and speculative technology shares in favor of profitable businesses, balance sheets, dividends, and traditional valuations.
Russia defaulted on its debt. The Asian financial crisis was spreading internationally. The yen carry trade had imploded as the USD plunged 8% against the yen in a single day. US embassies were being bombed.
President Clinton ordered missile strikes against Afghanistan and Sudan while simultaneously facing a scandal that would result in his impeachment. Major financial institutions suffered enormous losses, and the spectacular collapse of Long-Term Capital Management threatened the stability of the global financial system.
Corporate earnings forecasts were falling. Investors feared a U.S. recession. Many of the same technology companies that had driven the bull market were now leading the decline. Many of them had fallen 40-60% from their 1998 highs.
Even the Federal Reserve's first interest-rate cut on September 29 initially disappointed investors. The Dow fell that day and plunged another 238 points the following session.
The news seemed almost uniformly terrible.
But the market didn't care forever.
After a violent reversal in early October, improving confidence in corporate earnings, Japanese banking reforms, and a surprise emergency Fed cut on October 15 helped restore risk appetite.
By November, the Dow was making new all-time highs. Internet stocks were exploding higher again.
What had looked like the end of the internet trade was, within about a month, actually a correction preceding one of the most extraordinary speculative advances in stock-market history.
In today’s market, Microsoft just reported 48% Azure growth. Google Cloud revenue more than doubled. Meta expects $135–145 billion in capex this year and has announced plans for a potentially record-sized $97.5 billion equity capital raise.
If the market really was that concerned over capex spending, instead of using it as an excuse to explain the pullback, the market would have sold off on the META news.
Anthropic has now filed its IPO registration statement. We have midterm elections approaching, another consequential round of earnings, and a Fed that just held rates steady even as another hike is widely anticipated in December.
There are plenty of potential catalysts over the coming two months.
More importantly, this does not resemble the sentiment backdrop of a speculative bubble climax. Generational bull markets don't die midway through a basing period, but typically after euphoric saturation and a parabolic rally in leading names.
Consensus on AI is deeply divided. Being loudly anti-AI has practically become fashionable. Some AI critics have even built enormous audiences around the idea that the economics of the industry are unsustainable. Plenty of investors seem almost eager to watch the entire trade collapse.
That isn't the sentiment or narrative around which tops are typically made.
The Internet trade didn't end in the panic of 1998. It ended after the extraordinary acceleration of 1999 and early 2000 when being bearish was the market equivalent of wearing a dunce cap.
History never repeats perfectly, and today's rate environment is very different. But I think the resemblance in investor psychology is striking.
I’d be genuinely surprised if we don't have at least one more months-long rally into new highs during this cycle.
Whether it begins into the midterms, after the elections, around Anthropic's anticipated listing, or following further earnings confirmation, I suspect this correction will eventually look more like an interruption in a generational bull market than the bursting of a "bubble."
The $NDX took four months to bottom in 1998. With the exception of a handful of leaders, most stocks that are holding up have been basing out since the May-July period. We could certainly go lower, but most of the signs point to another new high before this cycle rolls over.
However, I’d place the odds of any additional powerful rallies afterward as increasingly unlikely given the fact we are already about to enter the fifth year of this bull market. I'd be careful about buying the dips next year, at least with meaningful size.
Anon retweeted
live footage of Lisa Su saving AI supply chain trade
$AMD stock is currently up by more than 9% in after-hours following its earnings
🟢🟢🟢🟢🟢🟢🟢🟢🟢
Anon retweeted
This is NOT the correct Catstro token, this is someone trying to profit off of the idea. The OG, the REAL Catstro coin was made 48 days ago!!! This is the correct CA:
0x31c0445253c74236fe34ec73d78b122deaeb9a7b
Let’s make sure we take the right one to the moon!!! 🚀🌖🐈⬛
BofA’s Vivek Arya made an excellent point, which I’d like to share.
Is open-source AI bearish for memory?
Closed models amortize global demand across shared HBM pools concentrated in a handful of data centers, whereas open models create a new memory footprint with every deployment. If 10,000 companies self-host the same open model, the model weights must be replicated across 10,000 separate HBM pools, with each deployment also requiring its own KV cache. As 128K–1M token contexts become commonplace in 2026, the KV cache alone can exceed 40GB per active session.
Low-cost Chinese APIs drive greater inference demand, broader enterprise self-hosting, and more memory sockets worldwide. In short, closed models concentrate memory demand, while open models multiply it.
Anon retweeted
5 minutes before Trump’s announcement:
* $1.5B notional worth of S&P500 (ES) futures are bought in a single clip.
* $192M notional of oil futures (CL) sold.
More than 4x-6x any other trade size during the market close.
Insiders profited from his lies in broad daylight!
Anon retweeted
When you’re ruled by satanic child trafficking pedophiles but the Dow Jones industrial average is over 50,000
Anon retweeted
Lutnick went to the island and was in business deals with Epstein, long after Lutnick says he parted ways and even after Epstein was convicted of sex crimes. What else is Lutnick covering up with respect to his association with Epstein?
thehill.com/homenews/house/5…
Anon retweeted
- Most of the timeline has given up
- Group chats are silent
- Most people are bearish if you ask them
- Many have sold without looking back
- Everyone is counting crypto out
This is exactly when we the people that actually make money in this space start buying
100K+ SOON







































