🇨🇭 Global One SI - Prompt
If you're tired of overpaying for AI, you need to read this. GLM-5,2 was recently launched, and it's the best cost-per-intelligence AI on the market. I'm personally running a "barbell" approach with this new model to maximise both intelligence & cost. Full…
Anthropic's internal loop engineering playbook just got leaked.
And it's the most valuable AI guide I've read all year.
This guide is packed with info, and there are five things you need to know if you want to maximize your AI productivity with loops (save this):
1. You should structure every loop around these 5 principles:
• Discovery → Let the agent find its own work (CI fails, issues, commits)
• Handoff → Give every task its own isolated git worktree
• Verification → Never let the generator grade its own work
• Persistence → Always write state to disk (markdown or board)
• Scheduling → Run it on a timer so it works while you sleep
2. Separate Generator from Evaluator (most important rule)
Use two agents: one writes, the other is a skeptical judge who assumes the code is broken.
Make the evaluator act (run tests, click buttons, take screenshots) - this is what actually stops bad output.
3. Build with these 6 parts:
• Automations (the timer)
• Worktrees (safe parallelism)
• Skills (permanent project knowledge)
• Connectors (talk to GitHub, Linear, etc.)
• Sub-agents (generator + evaluator)
• Memory (state files that survive between runs)
4. Things you must watch out for with loop engineering:
• Verification debt (use verification agents)
• Losing understanding of your own codebase (start fresh if needed)
• Token costs exploding (solution below)
• Cognitive surrender (don't stop thinking because “the loop handles it”)
5. Solving token costs
Loop engineering can be crazy expensive.
I recommend you use an 80/20 "barbell" approach to loop engineering.
For your most complex tasks that require the best intelligence, use expensive models (Opus).
For the remaining 80% of your tasks (the gruntwork), use cheap, open-source models within the Claude Code harness (GLM-5.2 is great for code execution).
Save these 5 rules so you don't forget them.
And it's the most valuable AI guide I've read all year.
This guide is packed with info, and there are five things you need to know if you want to maximize your AI productivity with loops (save this):
1. You should structure every loop around these 5 principles:
• Discovery → Let the agent find its own work (CI fails, issues, commits)
• Handoff → Give every task its own isolated git worktree
• Verification → Never let the generator grade its own work
• Persistence → Always write state to disk (markdown or board)
• Scheduling → Run it on a timer so it works while you sleep
2. Separate Generator from Evaluator (most important rule)
Use two agents: one writes, the other is a skeptical judge who assumes the code is broken.
Make the evaluator act (run tests, click buttons, take screenshots) - this is what actually stops bad output.
3. Build with these 6 parts:
• Automations (the timer)
• Worktrees (safe parallelism)
• Skills (permanent project knowledge)
• Connectors (talk to GitHub, Linear, etc.)
• Sub-agents (generator + evaluator)
• Memory (state files that survive between runs)
4. Things you must watch out for with loop engineering:
• Verification debt (use verification agents)
• Losing understanding of your own codebase (start fresh if needed)
• Token costs exploding (solution below)
• Cognitive surrender (don't stop thinking because “the loop handles it”)
5. Solving token costs
Loop engineering can be crazy expensive.
I recommend you use an 80/20 "barbell" approach to loop engineering.
For your most complex tasks that require the best intelligence, use expensive models (Opus).
For the remaining 80% of your tasks (the gruntwork), use cheap, open-source models within the Claude Code harness (GLM-5.2 is great for code execution).
Save these 5 rules so you don't forget them.
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🇨🇭 Global One SI - Prompt
“Everything in life is gamble, so you might as well bet on yourself”
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You become impossible to stop when you invest in what no one can steal from you. Your mindset, your character, and the person you become.
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🇨🇭 Global One SI - Prompt
Local AI brings the power back to ppl ✊🏽
The open internet was the training ground for modern AI.
Billions of texts, forum posts, code repositories, Wikipedia articles, scientific papers, blogs, and discussions: a global knowledge space built collectively over decades.
This free knowledge has now been transferred into artificial intelligence.
And that is precisely why AI must not disappear entirely behind proprietary walls.
Closed source may currently be leading when it comes to the most powerful models. But if access to intelligence is increasingly regulated, restricted, and controlled geopolitically, then open source is no longer just a technical ideal. It is a question of power.
The open internet made AI possible.
Now open source must ensure that AI remains open.
Billions of texts, forum posts, code repositories, Wikipedia articles, scientific papers, blogs, and discussions: a global knowledge space built collectively over decades.
This free knowledge has now been transferred into artificial intelligence.
And that is precisely why AI must not disappear entirely behind proprietary walls.
Closed source may currently be leading when it comes to the most powerful models. But if access to intelligence is increasingly regulated, restricted, and controlled geopolitically, then open source is no longer just a technical ideal. It is a question of power.
The open internet made AI possible.
Now open source must ensure that AI remains open.
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🇨🇭 Global One SI - Prompt
Turn Claude Code into your personal finance assistant in <60 seconds. It can research trending AI subsectors (robotics), analyse tickers like $SPCX, conduct deep research while you sleep & more. All directly in your terminal. Here's how to connect it in…
This is the most powerful way to use Hermes.
Spinning up multiple subagents to complete work.
Rather than working sequentially, Hermes fans out across multiple agents at once - then cross-verifies and merges the results.
It's like having an entire team from a single prompt
Spinning up multiple subagents to complete work.
Rather than working sequentially, Hermes fans out across multiple agents at once - then cross-verifies and merges the results.
It's like having an entire team from a single prompt
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🇨🇭 Global One SI - Prompt
🚨ANTHROPIC CEO: OPEN SOURCE AI IS GETTING DANGEROUS Anthropic CEO Dario Amodei told lawmakers that open-source AI is moving down a “very dangerous path.” His warns that once powerful models are released openly, companies lose the ability to monitor misuse…
Here's crybaby Dario Amodei trying to get the US government to ban China's open source models, because those models have caught up to Anthropic's models now. (GLM 5.2, for example...)
Does this guy EVER stop whining?
Does this guy EVER stop whining?
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🇨🇭 Global One SI - Prompt
Here's crybaby Dario Amodei trying to get the US government to ban China's open source models, because those models have caught up to Anthropic's models now. (GLM 5.2, for example...) Does this guy EVER stop whining?
This idiot 🤡 doesn't care about his reputation at all because he can just pocket those 1T valuation for his team 🤑 It is disgusting 😂😂😂
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Rockstar games after the preorders of GTA VI
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POV: you’re in a room where everyone has experienced and survived that phase of life that most don’t make it past
🇨🇭 Global One SI - Prompt
We're all in the same boat with Mythos / Fable guys! Source: Trust me bro!
People using AC in Europe looking at people who don't
🇨🇭 Global One SI - Prompt
Mike Tyson's combo 🥊👊🏻
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Use the peekaboo style like Mike Tyson 🥊
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🇨🇭 Global One SI - Prompt
We're back. Trump just threatened EVERY European country with a 100% tariff overnight if they dare tax American tech. In a Truth Social post, Trump warned that any country imposing a Digital Services Tax on US companies will face immediate consequences.…
🚨EU exports to the US just collapsed by over 30% in a single year.
Trump's tariff war is showing up in the hard data now.
This maps the EU's top trade partners in Q1 2026, in billions of euros.
On the import side, China dominates.
The EU bought €145.3B in Chinese goods.
That's nearly 1/4 of all EU imports, far ahead of the US at €85.9B.
The export side is where the shock lives.
The US is still the top destination at €119.4B.
But exports to America have fallen over 30% from Q1 2025.
A massive, fast decline.
That's the tariff war landing.
European goods are getting priced out of the US market.
The UK ranks 2nd for EU exports at €88.7B, then Switzerland at €57.2B.
And note the imbalance with China.
The EU imports €145B but exports just €47.6B back.
5 countries make up over half of all EU foreign trade.
The bloc's fortunes ride on a handful of relationships.
Watch the EU-US export line.
If it keeps falling, the transatlantic trade rupture is real, and Europe needs new buyers fast.
Trump's tariff war is showing up in the hard data now.
This maps the EU's top trade partners in Q1 2026, in billions of euros.
On the import side, China dominates.
The EU bought €145.3B in Chinese goods.
That's nearly 1/4 of all EU imports, far ahead of the US at €85.9B.
The export side is where the shock lives.
The US is still the top destination at €119.4B.
But exports to America have fallen over 30% from Q1 2025.
A massive, fast decline.
That's the tariff war landing.
European goods are getting priced out of the US market.
The UK ranks 2nd for EU exports at €88.7B, then Switzerland at €57.2B.
And note the imbalance with China.
The EU imports €145B but exports just €47.6B back.
5 countries make up over half of all EU foreign trade.
The bloc's fortunes ride on a handful of relationships.
Watch the EU-US export line.
If it keeps falling, the transatlantic trade rupture is real, and Europe needs new buyers fast.
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🇨🇭 Global One SI - Prompt
Everyone thinks Apple buying cheap Chinese memory chips is a threat to Micron and the memory industry and it's not even close (Save this). Dylan of Semi-Analysis is absolutely right and once you understand why, the whole narrative falls apart. CXMT is not…
The AI boom may have handed the chip industry the perfect cover for its oldest crime. Three giants, Samsung, SK Hynix, and Micron, control roughly 90 percent of the world's memory, and a federal class action filed this week in California accuses all three of choking conventional supply to inflate prices, the same conduct they once pleaded guilty to.
They ran a memory cartel twenty years ago. Now they stand accused of the sequel, with artificial intelligence as the alibi.
The numbers are brutal. Conventional memory prices jumped about 90 percent in a single quarter this year. The suit, which demands a jury trial, alleges a roughly 700 percent rise over four years, a RAMpocalypse, and points to Apple's price hikes on iPads and Macs as the moment the bill reached ordinary pockets. It also alleges they rehired the very executives who went to prison the first time.
Because the first time was real: from 1998 to 2002, these three were among the firms that ran an actual cartel, pleaded guilty, and paid 731 million dollars in fines as executives went to jail.
Now the part that makes this different from 2005. The shortage is real. Building memory for AI is so hard that one flawed layer ruins an entire stacked chip, and a single AI memory unit eats three to four times the factory space of the ordinary kind. The companies say they are racing to build new plants to fix it. Reallocating to AI memory genuinely starves everything else. No conspiracy required.
Which is exactly what makes it the perfect alibi. The same act that was a crime in 2005, cutting supply as prices soared, now looks like devotion to the future. Real scarcity and engineered scarcity leave the identical receipt, and only one is illegal.
There is no fourth supplier to run to. You pay more for your phone, and that tax quietly funds the AI arms race. The narrowest chokepoint in technology is three companies wide, and a court will decide if they crossed the line again.
They ran a memory cartel twenty years ago. Now they stand accused of the sequel, with artificial intelligence as the alibi.
The numbers are brutal. Conventional memory prices jumped about 90 percent in a single quarter this year. The suit, which demands a jury trial, alleges a roughly 700 percent rise over four years, a RAMpocalypse, and points to Apple's price hikes on iPads and Macs as the moment the bill reached ordinary pockets. It also alleges they rehired the very executives who went to prison the first time.
Because the first time was real: from 1998 to 2002, these three were among the firms that ran an actual cartel, pleaded guilty, and paid 731 million dollars in fines as executives went to jail.
Now the part that makes this different from 2005. The shortage is real. Building memory for AI is so hard that one flawed layer ruins an entire stacked chip, and a single AI memory unit eats three to four times the factory space of the ordinary kind. The companies say they are racing to build new plants to fix it. Reallocating to AI memory genuinely starves everything else. No conspiracy required.
Which is exactly what makes it the perfect alibi. The same act that was a crime in 2005, cutting supply as prices soared, now looks like devotion to the future. Real scarcity and engineered scarcity leave the identical receipt, and only one is illegal.
There is no fourth supplier to run to. You pay more for your phone, and that tax quietly funds the AI arms race. The narrowest chokepoint in technology is three companies wide, and a court will decide if they crossed the line again.
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🇨🇭 Global One SI - Prompt
US and Iran as soon as the stock market open
🇺🇸 Trump says gas prices are "COMING DOWN, FAST" and WTI Crude is at "$69, and heading down."
Notice the language he uses instead of the war: "the Denuclearization of Iran."
Not sure that's what the history books will call it 😂
Notice the language he uses instead of the war: "the Denuclearization of Iran."
Not sure that's what the history books will call it 😂
🇨🇭 Global One SI - Prompt
This idiot 🤡 doesn't care about his reputation at all because he can just pocket those 1T valuation for his team 🤑 It is disgusting 😂😂😂
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People will hate Dario 🤡 more than Sam Altman ☢ in a few weeks
«You’re in a horror movie» 😂
«You’re in a horror movie» 😂
🇨🇭 Global One SI - Prompt
$POET/USD H2 #Indicator #Signal #Trading #GlobalOneAI
$POET operates an asset-light, "fab-lite" business model.
Rather than investing billions into capital-intensive semiconductor fabrication plants, $POET designs and patents the intellectual property for its proprietary Optical Interposer.
However, $POET does not sell finished pluggable transceivers directly to data centers. Instead, it positions itself midstream, selling "optical engines" to major global system integrators and tier-1 tech manufacturers.
These partners embed $POET technology into final hardware modules, serving as the critical bridge to the world's largest hyperscalers.
As the world's largest electronics contract manufacturer, Foxconn has historically dominated server chassis, mechanical components, and copper cabling. To survive the AI paradigm shift, Foxconn must pivot to high-speed optics (800G and 1.6T). By integrating $POET alignment-free optical engines, Foxconn transforms from a pure hardware assembler into a high-margin photonics supplier.
Foxconn is deeply embedded in the supply chains of $NVDA, $AMZN, $GOOG and $MSFT. Any major cloud provider building next-generation AI infrastructure is highly likely using Foxconn-assembled hardware.
Luxshare has aggressively expanded from consumer electronics (historically $AAPL main AirPods and iPhone manufacturer) into datacenter infrastructure. Luxshare uses $POET engines to build out its competitive portfolio of 400G, 800G, and upcoming 1.6T transceivers.
Domestically, Luxshare serves the massive Chinese cloud giants, $BABA, Tencent, and $BIDU, all of whom are desperately seeking high-speed optical interconnects to bypass AI networking bottlenecks. Internationally, Luxshare maintains strong, direct qualification pipelines with major US hyperscalers like $META and $GOOG.
Lumilens represents $POET largest and most explosive commercial milestone to date, defined by a massive $500 million framework agreement over the next five years.
Backed by premier Silicon Valley venture capital firms (Sequoia and Mayfield), Lumilens is a disruptive startup aiming to build open, highly efficient optical architectures (such as Co-Packaged Optics / CPO). Their mission is to break the near-monopoly that legacy networking giants currently hold over AI optical modules.
According to public OSINT and executive LinkedIn data, Lumilens’ initial and primary launch partner is a Top-3 global hyperscaler. Industry consensus points strongly toward $AMZN, with $MSFT or $GOOG being the only viable alternatives.
Rather than investing billions into capital-intensive semiconductor fabrication plants, $POET designs and patents the intellectual property for its proprietary Optical Interposer.
However, $POET does not sell finished pluggable transceivers directly to data centers. Instead, it positions itself midstream, selling "optical engines" to major global system integrators and tier-1 tech manufacturers.
These partners embed $POET technology into final hardware modules, serving as the critical bridge to the world's largest hyperscalers.
As the world's largest electronics contract manufacturer, Foxconn has historically dominated server chassis, mechanical components, and copper cabling. To survive the AI paradigm shift, Foxconn must pivot to high-speed optics (800G and 1.6T). By integrating $POET alignment-free optical engines, Foxconn transforms from a pure hardware assembler into a high-margin photonics supplier.
Foxconn is deeply embedded in the supply chains of $NVDA, $AMZN, $GOOG and $MSFT. Any major cloud provider building next-generation AI infrastructure is highly likely using Foxconn-assembled hardware.
Luxshare has aggressively expanded from consumer electronics (historically $AAPL main AirPods and iPhone manufacturer) into datacenter infrastructure. Luxshare uses $POET engines to build out its competitive portfolio of 400G, 800G, and upcoming 1.6T transceivers.
Domestically, Luxshare serves the massive Chinese cloud giants, $BABA, Tencent, and $BIDU, all of whom are desperately seeking high-speed optical interconnects to bypass AI networking bottlenecks. Internationally, Luxshare maintains strong, direct qualification pipelines with major US hyperscalers like $META and $GOOG.
Lumilens represents $POET largest and most explosive commercial milestone to date, defined by a massive $500 million framework agreement over the next five years.
Backed by premier Silicon Valley venture capital firms (Sequoia and Mayfield), Lumilens is a disruptive startup aiming to build open, highly efficient optical architectures (such as Co-Packaged Optics / CPO). Their mission is to break the near-monopoly that legacy networking giants currently hold over AI optical modules.
According to public OSINT and executive LinkedIn data, Lumilens’ initial and primary launch partner is a Top-3 global hyperscaler. Industry consensus points strongly toward $AMZN, with $MSFT or $GOOG being the only viable alternatives.
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