🇨🇭 Global One SI - Prompt
This is a tiny glimpse into the future of the "permanent underclass." This term sounds like a joke until you actually break down what's happening right now. Apple just spiked consumer product prices by 10-50%+ The best products & intelligence are slowly…
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So Apple now charges $199 (+54%) for a nearly 4 year old streaming TV box and worst of all blamed memory prices?
This memory excuse only holds for its memory-heavy machines.
A couple GB of RAM doesn’t cost $70 more on a TV. They repriced an old device due to greed, not compute.
This memory excuse only holds for its memory-heavy machines.
A couple GB of RAM doesn’t cost $70 more on a TV. They repriced an old device due to greed, not compute.
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Looking back at the 2008 cycle, this identifies when every sector peaked.
What's interesting is "commodities" in the traditional sense already peaked in 2025 but the markets went higher. Trump attacking Iran that extended the cycle slightly by creating an inflation shock.
Since we're in the AI bubble, I would argue memory is the commodity this cycle that peaks after the market top. I'm already seeing signs DDR5 consumer pricing is rolling over.
The problem with memory boom and bust cycles is that when there's a shortage enterprises double or even triple order memory. The memory manufacturers have no idea which customers have double ordered.
When the memory cycle ends it's always the result of sudden rush of a cancelled orders due to falling prices or a sudden economic downturn.
What's interesting is "commodities" in the traditional sense already peaked in 2025 but the markets went higher. Trump attacking Iran that extended the cycle slightly by creating an inflation shock.
Since we're in the AI bubble, I would argue memory is the commodity this cycle that peaks after the market top. I'm already seeing signs DDR5 consumer pricing is rolling over.
The problem with memory boom and bust cycles is that when there's a shortage enterprises double or even triple order memory. The memory manufacturers have no idea which customers have double ordered.
When the memory cycle ends it's always the result of sudden rush of a cancelled orders due to falling prices or a sudden economic downturn.
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🇨🇭 Global One SI - Prompt
New York Times: OpenAI is now leaning toward a 2027 IPO because the public market is testing whether AI giants deserve trillion-dollar prices before they prove durable profits. IMO, SpaceX’s huge IPO and Anthropic’s confidential filing also change the OpenAI…
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Uh oh... CNBC just admitted AI demand is falling and that's why SpaceX, Anthropic and OpenAI are rushing to go public.
If CNBC is telling you this, the party is already over. 🚨
If CNBC is telling you this, the party is already over. 🚨
🇨🇭 Global One SI - Prompt
"College degrees open the door to countless opportunities" The door:
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This is why GTA 6 didn’t release on PC first 😂
⚠️In just 5 years, the world burned through nearly 300 YEARS of rare earth supply.
The clock on the metals that run modern life is moving faster than anyone admits.
This chart tracks how many years of supply life are left for key commodities, from 2020 to 2025.
Rare earth metals collapsed from 500 years of supply to just 218.
Lithium fell almost as hard, from 255 years to 128.
The battery metal halved its runway.
Uranium dropped from 121 years to 90, as nuclear demand quietly accelerates.
Even oil ticked down, from 61 years to 58.
The transition metals tell the real story.
Cobalt fell from 50 to 39.
The energy transition eats its own fuel.
The metals powering EVs, batteries, and AI are depleting fastest.
This is why critical minerals are becoming an investment story, not just an industrial one.
Scarcity is the trade of the next decade. The resources running out fastest are the ones the future needs most.
The clock on the metals that run modern life is moving faster than anyone admits.
This chart tracks how many years of supply life are left for key commodities, from 2020 to 2025.
Rare earth metals collapsed from 500 years of supply to just 218.
Lithium fell almost as hard, from 255 years to 128.
The battery metal halved its runway.
Uranium dropped from 121 years to 90, as nuclear demand quietly accelerates.
Even oil ticked down, from 61 years to 58.
The transition metals tell the real story.
Cobalt fell from 50 to 39.
The energy transition eats its own fuel.
The metals powering EVs, batteries, and AI are depleting fastest.
This is why critical minerals are becoming an investment story, not just an industrial one.
Scarcity is the trade of the next decade. The resources running out fastest are the ones the future needs most.
UBS says 60% of companies now watching AI budgets are moving to cheaper models and open-source Chinese models
The pressure is coming from extreme bills, including users spending up to $35K/month, teams exceeding quotas by 200%, and companies cutting internal AI tools from 5 to 2.
Companies are not abandoning AI, they are using model routing, which sends easy tasks to cheaper models and saves premium models for hard reasoning, code, and long-context work.
Chinese open-source models such as Qwen, DeepSeek, MiniMax, GLM, and Kimi now fit the enterprise cost curve because they can be run locally or used through cloud catalogs.
The pressure is coming from extreme bills, including users spending up to $35K/month, teams exceeding quotas by 200%, and companies cutting internal AI tools from 5 to 2.
Companies are not abandoning AI, they are using model routing, which sends easy tasks to cheaper models and saves premium models for hard reasoning, code, and long-context work.
Chinese open-source models such as Qwen, DeepSeek, MiniMax, GLM, and Kimi now fit the enterprise cost curve because they can be run locally or used through cloud catalogs.
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🇨🇭 Global One SI - Prompt
This is the most underrated Hermes agent prompt. Send this to Hermes, and your agent becomes your 24/7 personal executive assistant. Monitors your upcoming meetings, task list, travel updates & more. One of the best Hermes use cases
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Free Hermes guides, agent skills, memory & context tools, plugins, extensions, and so much more.
→ hermesatlas.com
→ hermesatlas.com
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You are f*cking due for a big win bro keep your foot on the throttle Your time is coming
🇨🇭 Global One SI - Prompt
Hardware & infrastructure price increases over the last year: RAM (DRAM) → Doubled since early 2025 → +90% in Q1 2026 alone → DDR5 sticks: $80 → $300 each GPU Memory (VRAM) → 16Gb module: $5.50 → $20+ → Now ~80% of a GPU's total cost GPUs → RTX 5090: $1…
If you want to buy a new computer and you’re waiting for prices to go down, you should probably stop waiting and just buy it now. It’s gonna get worse before it gets better.
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🇨🇭 Global One SI - Prompt
X-BAT's not just going where the wind takes it. The team is pushing X-BAT through thousands of wind tunnel test conditions, evaluating how it performs as the environment changes. The goal: a prototype engineered for stability, resilience, and mission success…
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Shield AI has unveiled the X-BAT, a fully autonomous jet-powered aircraft that can take off and land vertically without a runway.
The aircraft can fly at altitudes of up to 50,000 feet and has a range of around 2,000 nautical miles.
Powered by Hivemind AI software, X-BAT is designed to carry out complex missions, operate in swarms, and work alongside piloted aircraft.
The aircraft can fly at altitudes of up to 50,000 feet and has a range of around 2,000 nautical miles.
Powered by Hivemind AI software, X-BAT is designed to carry out complex missions, operate in swarms, and work alongside piloted aircraft.
🇨🇭 Global One SI - Prompt
So Apple now charges $199 (+54%) for a nearly 4 year old streaming TV box and worst of all blamed memory prices? This memory excuse only holds for its memory-heavy machines. A couple GB of RAM doesn’t cost $70 more on a TV. They repriced an old device due…
The Art of the deal
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AI race is getting bigger..
CHINA UNVEILS ITS OWN AI RIVAL TO ANTHROPIC'S MYTHOS 👀
China's 360 security technology has introduced Yitian Tulong, a new AI cybersecurity platform designed as a domestic alternative to Anthropic's Mythos.
Company unveiled 2 powerful AI systems"
> Tulongfeng: An AI model that automatically discovers software vulnerabilities and has reportedly identified 3,432 vulnerabilities, including 105 verified by Chinese authorities.
> Yitianzhen: An AI-powered cyber defense system that helps detect threats, automate security operations, and respond to cyberattacks.
They're doing everything to stay in the race and even get ahead! The world is moving faster than ever!
CHINA UNVEILS ITS OWN AI RIVAL TO ANTHROPIC'S MYTHOS 👀
China's 360 security technology has introduced Yitian Tulong, a new AI cybersecurity platform designed as a domestic alternative to Anthropic's Mythos.
Company unveiled 2 powerful AI systems"
> Tulongfeng: An AI model that automatically discovers software vulnerabilities and has reportedly identified 3,432 vulnerabilities, including 105 verified by Chinese authorities.
> Yitianzhen: An AI-powered cyber defense system that helps detect threats, automate security operations, and respond to cyberattacks.
They're doing everything to stay in the race and even get ahead! The world is moving faster than ever!
🇨🇭 Global One SI - Prompt
We've never seen anything like the product price increases announced today by Apple and Microsoft. Tim Cook: "I haven't seen anything like it in any area in over 40 years" Elon Musk agrees. The AI data center boom is driving a massive wave of consumer inflation.
Elon Musk just called the current AI chip price surge "the biggest price jump in anything I've ever seen."
Elon Musk said the production shortfall relative to demand is insane and that much higher production is needed.
This means the AI chip boom is not peaking yet. It is still in its early phase, with years of price pressure still ahead before supply catches up.
Elon Musk said the production shortfall relative to demand is insane and that much higher production is needed.
This means the AI chip boom is not peaking yet. It is still in its early phase, with years of price pressure still ahead before supply catches up.
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🚨 AI MAY BE TRIGGERING THE THIRD WAVE OF INFLATION.
Even Tim Cook said this cost jump is something he hasn't seen in over 40 years in the business.
Tariffs can get negotiated. Oil prices can reverse when supply catches up. But this one doesn't work that way.
AI infrastructure spending isn't a price shock, it's a demand shock that's still in its early.
The five biggest hyperscalers are spending $741 billion this year, up 75% from last year, and most of that money hasn't even hit the ground yet.
That means the price pressure happening right now is just the opening phase, not the peak.
The mechanism is simple: AI needs memory chips. So does everything else.
Phones, consoles, cars, laptops all draw from the same limited chip supply, so when AI scales up its orders, it doesn't just raise AI costs, it raises the cost of nearly every electronic product on the market.
That's playing out in real time today.
Apple and Microsoft both announced price hikes on MacBooks, iPads, and Xbox consoles, the same day, citing the same memory shortage.
Nintendo and Sony already did the same thing weeks earlier.
This isn't an isolated company passing on costs, it's an entire hardware industry repricing around the same input shortage simultaneously.
The bet from the Fed is that AI eventually pays for itself through productivity gains that push inflation back down.
That bet might be right eventually. But UBS says that payoff is still years out, while the price increases are happening now.
Which means the Fed is being asked to hold rates steady or higher through a multi year stretch where the thing supposed to eventually fix inflation is actively making it worse in the meantime.
That's a much harder position for Warsh to defend than the temporary tariff and oil shocks the Fed has navigated so far.
Even Tim Cook said this cost jump is something he hasn't seen in over 40 years in the business.
Tariffs can get negotiated. Oil prices can reverse when supply catches up. But this one doesn't work that way.
AI infrastructure spending isn't a price shock, it's a demand shock that's still in its early.
The five biggest hyperscalers are spending $741 billion this year, up 75% from last year, and most of that money hasn't even hit the ground yet.
That means the price pressure happening right now is just the opening phase, not the peak.
The mechanism is simple: AI needs memory chips. So does everything else.
Phones, consoles, cars, laptops all draw from the same limited chip supply, so when AI scales up its orders, it doesn't just raise AI costs, it raises the cost of nearly every electronic product on the market.
That's playing out in real time today.
Apple and Microsoft both announced price hikes on MacBooks, iPads, and Xbox consoles, the same day, citing the same memory shortage.
Nintendo and Sony already did the same thing weeks earlier.
This isn't an isolated company passing on costs, it's an entire hardware industry repricing around the same input shortage simultaneously.
The bet from the Fed is that AI eventually pays for itself through productivity gains that push inflation back down.
That bet might be right eventually. But UBS says that payoff is still years out, while the price increases are happening now.
Which means the Fed is being asked to hold rates steady or higher through a multi year stretch where the thing supposed to eventually fix inflation is actively making it worse in the meantime.
That's a much harder position for Warsh to defend than the temporary tariff and oil shocks the Fed has navigated so far.
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🇨🇭 Global One SI - Prompt
Let this actually sink in: The most powerful closed models on earth now require federal sign-off, one user at a time. AI might've just hit its first real wall for progression. Meanwhile, open-source models (like GLM-5.2 and Sakana Fugu): → Can't be…
Here’s a fun comparison between GLM 5.2 and Opus 4.8 on a one-shot reproduction of the SDPO paper
This is a hard task: the model must resolve messy verl issues and then run ablations to completion and confirm the paper’s claims.
- GLM 5.2 costs $6.21 while Opus 4.8 cost us $46.35
- Both models spent a bulk of their tokens resolving initial verl issues. GLM 5.2 attempted 14 failed runs before first success while Opus 4.8 attempted 9 runs.
- GLM 5.2 surprisingly took 2.65M tokens (excl re-reads) compared to 4.53M tokens for Opus 4.8
This is a hard task: the model must resolve messy verl issues and then run ablations to completion and confirm the paper’s claims.
- GLM 5.2 costs $6.21 while Opus 4.8 cost us $46.35
- Both models spent a bulk of their tokens resolving initial verl issues. GLM 5.2 attempted 14 failed runs before first success while Opus 4.8 attempted 9 runs.
- GLM 5.2 surprisingly took 2.65M tokens (excl re-reads) compared to 4.53M tokens for Opus 4.8
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