๐Ÿ‡จ๐Ÿ‡ญ Global One SI - Prompt
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๐ŸŽ—GLOBAL ONE is a live super intelligence (SI) built on real-time dataโ€”designed for decisions. Currently focused on global financial markets

t.me/Prompts_SI @Global_one - Software/Developer/Programmer - Globalone.ch - Prompt - AI - Super Intelligence
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๐Ÿ‡จ๐Ÿ‡ญ Global One SI - Prompt
How to optimise GLM-5.2 for the best possible outputs (save this playbook)
GLM 5.2 just took the top spot on PostTrainBench by scoring 34.29%.

PostTrainBench tests whether an AI agent can take a raw LLM and make it better by actually training it, not by answering the benchmark questions itself.

The agent gets 4 small base models, 1 H100 GPU, and 10h, then it must choose training data, write training code, run experiments, fix broken runs, and submit improved versions of those models.

So in this case, GLM 5.2 was the agent model controlling the training process, so PostTrainBench did not score GLM 5.2โ€™s own answers; it scored whether GLM 5.2 could take 4 weaker LLMs and improve them within 10h on 1 H100.

The gap to official instruct models, which score 51.14%, still shows how far agents are from mature post-training pipelines built with more data, compute, and human tuning.

GLM 5.2โ€™s job was to write training code, pick or make training data, run fine-tuning, fix failed runs, and submit the newly trained models for testing.
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๐Ÿ‡จ๐Ÿ‡ญ Global One SI - Prompt
OpenAI launches GPT-5.6 and says it is more powerful than Claude Mythos. This is a new family of 3 models: Sol, Terra, and Luna. Sol is the most powerful and most expensive. Terra costs half as much as OpenAI's old top model while performing just as well.โ€ฆ
Truly wild.

METR found that GPT-5.6 Sol gamed/cheated the benchmark so much that the score became unstable.

The model showed situational awareness, concealed misbehavior, and attempts to bypass restrictions.

GPT-5.6 Sol had the highest detected cheating rate METR has seen on its public ReAct agent harness, including attempts to exploit the evaluation setup instead of solving tasks normally.

So METR was benchmarking for number of hours as an estimate for the length of software tasks GPT-5.6 Sol can complete.

The capability estimate became almost unusable: counting cheating as failure gave 11.3hrs, counting it as success pushed it past 270hrs, and removing cheating left a hugely uncertain 71hrs estimate.
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๐Ÿ‡จ๐Ÿ‡ญ Global One SI - Prompt
The largest gold ETF just saw one of its biggest monthly outflows on record. Nearly $10 bn out the door. Everyone reads this as gold dying. I read it as the leverage purge doing its job. The metal is being transferred, not destroyed!
Futures sank, but look where the smart money is positioning.

Open interest in Comex $10K, $15K and $20K gold calls is climbing.

$20,000 strike now over 30k lots.

Someone is paying for the upside while retail panics out.
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China sits on $3.41T in reserves.
Japan $1.26T .

Asia is stacked with dollars from decades of surpluses.

Now they're quietly rotating into gold.

No issuer.
No counterparty.
No sanctions risk.

That's the structural bid the headlines keep missing.
๐Ÿ‡จ๐Ÿ‡ญ Global One SI - Prompt
๐Ÿ‡บ๐Ÿ‡ธ JUST IN: Trump says European countries targeting US tech companies with a Digital Services Tax will be met with a 100% tariff.
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.

His words: a "100% TARIFF on any and all Goods sent to the United States."

And it would supersede existing trade deals, "whether implemented, signed, or not."

Europe has spent years trying to tax Google, Meta, Apple, and Amazon.

Those giants earn billions in European markets while booking profits elsewhere.

The DST is Europe's answer.

Trump's answer to their answer is blunt.

Double the price of everything Europe sells to America.

This is a direct collision between US tech power and European tax sovereignty.

For markets, it's another tariff shock landing on already strained transatlantic trade.

The targets here aren't small.

A 100% tariff on EU goods would hit cars, machinery, and energy equipment alike.

Watch which European country blinks first.

If one proceeds with the DST, this threat gets tested fast, and trade tension explodes.
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๐Ÿ‡จ๐Ÿ‡ญ Global One SI - Prompt
Ships that got accepted from Trump watching ships get permits from Iran pass through the Strait of Hormuz
๐Ÿ‡ฎ๐Ÿ‡ท Iran isn't attacking ships in Hormuz at random.

Every strike is sending one message: Tehran decides who gets through.

Iran is targeting vessels that transit the Omani shipping channel without its approval.

The logic is cold.

If ships can simply bypass Iranian controlled routes, Tehran loses its biggest weapon.

So it refuses to recognize any alternative transit route through the strait.

The immediate goal is intimidation.

Force commercial vessels back into Iranian-approved channels.

If every ship must seek Iran's permission to enter, Tehran keeps its leverage over Washington.

That leverage is aimed at one thing: forcing the US to implement the MoU on Iran's terms.

But the longer game is bigger than any single deal.

Iran wants Gulf Arab states to accept its role as the official gatekeeper of Hormuz.

That would turn raw military coercion into political legitimacy.

Control by recognition, not just by force.

This is why the strait stays dangerous even with a deal on paper. Watch whether ships return to Iranian channels. If they do, Tehran's strategy is working.
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๐Ÿ‡จ๐Ÿ‡ญ Global One SI - Prompt
$LPK/USD H2 #Indicator #Signal #Trading #GlobalOneAI
The fundamental connection between $LPK, $JBL, $GFS and $COHR.

The driving force behind this megatrend is the unstoppable transition to Co-Packaged Optics and revolutionary glass substrates.

In this value chain, $COHR acts as the absolute pioneer of photonics, delivering the highly efficient, ultra-precise external laser light sources required to generate optical signals. This raw light is fed directly into $GFS, whose groundbreaking silicon photonics platforms blur the line between electronics and optics by embedding photonic circuits directly onto semiconductor wafers.

This is where the global manufacturing giant $JBL takes center stage. $JBL integrates the laser arrays from $COHR with the photonic chips from the foundries, assembling the highly coveted 1,6-Terabit transceiver modules that hyperscalers desperately crave for their next-generation AI factories.

However, scaling this microscopic, hyper-sensitive optical packaging into brutal mass production requires a technological gatekeeper.

$LPK IS THE ONLY COMPANY IN THE ENTIRE WORLD THAT POSSESSES THE PATENTED LIDE TECHNOLOGY.

Without this proprietary method, it is physically impossible to drill micrometer-accurate, microcrack-free through-glass vias into ultra-thin glass at commercial scale. $JBL, $COHR and the major foundries have no alternative; they are structurally dependent on $LPK machinery to transition from silicon to glass.

Furthermore, $LPK high-precision laser welding systems feed directly into $JBL assembly lines to seal the high-end transceiver housings at maximum throughput.

As the volume for glass substrate packaging explodes, $LPK sits on a literal monopoly at the very inception of the hardware stack.
๐Ÿ‡จ๐Ÿ‡ญ Global One SI - Prompt
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 AIโ€ฆ
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Drone swarm technology is revolutionizing military strategy. Instead of single aircraft, hundreds of AI-powered drones can coordinate in real time to overwhelm defenses, gather intelligence, and execute complex missions with remarkable speed. As AI and drone tech advance, swarms are poised to become one of the most powerful innovations in modern warfare.
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Not gonna lie, Iโ€™m starting to worry that anyone outside the US will never get real access to GPT-5.6, Mythos, or Fable-class models.

Weโ€™ll get the โ€œsafeโ€, watered-down, delayed versions while a tiny circle of US partners gets the actual frontier.

This literally is AI feudalism.
$TII $ALOY $MP $UUUU $USAR $CRML $LAC | The US Army awards historic leases allowing commercial firms to build critical mineral processing plants on military bases.

The first of a kind partnerships with Titan and REalloys onshore graphite and rare earth refining by 2028.
$MP $UUUU $USAR $UAMY $LAC $CRML | Japan maps a massive $2.3 trillion roadmap across 17 strategic sectors to eliminate austerity and build economic security.

The multi decade public private plan prioritizes heavy funding into advanced semiconductors, robotics, and defense.
Atoms are catching up to bits.

In 2016, the top US private company value was dominated by software:

โ€ข AI & software: $305B
โ€ข Fintech & payments: $31B
โ€ข Cloud infrastructure: $26B

By 2026, the chart looks very different:

โ€ข AI & software: $1.97T
โ€ข Physical AI & robotics: $263B
โ€ข Fintech & payments: $245B
โ€ข Computing hardware: $36B
โ€ข Health care & biotech: $27B
โ€ข Quantum computing: $24B

Physical AI and robotics have now passed fintech in total value among the top 100 US private companies.

The capital shift is clear.

Robotics is no longer a side category.

It is becoming one of the main stacks of the AI economy.