$JBL acquisition of $INTC silicon photonics manufacturing business in late 2023 changed the game for the entire optical supply chain, directly triggering the massive value unlock we are seeing today for $SIVE and $ENAFF.
By absorbing $INTC pluggable modules division, $JBL established itself as a manufacturing leader for next-generation AI data centers.
However, $JBL still needed the core technology to power these modules.
This led to their massive 2026 collaboration with $SIVE, where $JBL integrated Sivers advanced laser arrays into their new 1.6-Terabit optical transceivers.
Because these high-speed modules require highly complex chip architectures to route light, $ENAFF plugs perfectly into this ecosystem with its specialized optical designs.
Ultimately, this connection is incredibly valuable because $JBL acts as the direct pipeline to major hyperscalers like $META and $MSFT.
By absorbing $INTC pluggable modules division, $JBL established itself as a manufacturing leader for next-generation AI data centers.
However, $JBL still needed the core technology to power these modules.
This led to their massive 2026 collaboration with $SIVE, where $JBL integrated Sivers advanced laser arrays into their new 1.6-Terabit optical transceivers.
Because these high-speed modules require highly complex chip architectures to route light, $ENAFF plugs perfectly into this ecosystem with its specialized optical designs.
Ultimately, this connection is incredibly valuable because $JBL acts as the direct pipeline to major hyperscalers like $META and $MSFT.
🇨🇭 Global One SI - Prompt
#WTI U.S. Oil hits $73 The lowest since February 2026
#WTI Seeing lots of people claim "Oil has bottomed"
Like July 2022, the oil selloff isn't over... It's just beginning.
When they ask you why?... Just say "It's science" 😉
Like July 2022, the oil selloff isn't over... It's just beginning.
When they ask you why?... Just say "It's science" 😉
🇨🇭 Global One SI - Prompt
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Sakana Fugu Ultra just beat the other models on visual polish in a live trading-desk coding test, got close to GLM 5.2, but at 17x the cost.
Test was done on atomic[.]chat, a desktop app that runs LLMs locally.
Fugu produced the richest interface, with multiple panels, watchlists, charts, tape-style activity, status labels, and a more finished product feel.
To note that Fugu Ultra is an orchestration layer that assembles and routes subtasks across a pool of models through one OpenAI-compatible endpoint.
So Fugu is a learned coordinator model inside a multi-agent system.
When you send a prompt, Fugu decides whether to answer alone or hand pieces of the job to other models, then it gathers the outputs and produces one final response.
Outputs:
Fugu Ultra — 22,225 t, $0.51
Opus 4.8 — 15,802 t, $0.31
GPT-5.5 — 11,474 t, $0.26
GLM 5.2 — 13,677 t, $0.03
atomic.chat
Test was done on atomic[.]chat, a desktop app that runs LLMs locally.
Fugu produced the richest interface, with multiple panels, watchlists, charts, tape-style activity, status labels, and a more finished product feel.
To note that Fugu Ultra is an orchestration layer that assembles and routes subtasks across a pool of models through one OpenAI-compatible endpoint.
So Fugu is a learned coordinator model inside a multi-agent system.
When you send a prompt, Fugu decides whether to answer alone or hand pieces of the job to other models, then it gathers the outputs and produces one final response.
Outputs:
Fugu Ultra — 22,225 t, $0.51
Opus 4.8 — 15,802 t, $0.31
GPT-5.5 — 11,474 t, $0.26
GLM 5.2 — 13,677 t, $0.03
atomic.chat
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Anthropic CEO after some developer publicly shared free tricks that slash Claude Code token usage by 90%
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Chinese AI labs after beating the world’s best model again:
🇨🇭 Global One SI - Prompt
55% of the KOSPI index is composed of two memory manufacturers: SK Hynix and Samsung. Basically if the KOSPI falls, so do $MU, $SNDK, etc.
South Korea's $KOSPI index falls 10% as memory manufacturers suddenly see a demand collapse.
🇨🇭 Global One SI - Prompt
GLM-5.2 - The Complete Guide. Everything you need to know: how to set it up, how to prompt, tips, and more.
GLM-5.2 is the benchmark king.
It's the first open-weight model to take #1 in multiple categories (and it's beating frontier models across the board).
#1 Wins:
→ Design Arena: ~1360 Elo, first open-weight model to take #1, beats Fable 5 by ~10 Elo
→ Terminal-Bench 2.1: 81.0% (best run 82.7%), first open model to cross 80%
→ Artificial Analysis Intelligence Index v4.1: Top open-weight model, score 51
→ GDPval-AA v2: Leading open-weight, competitive with/ahead of GPT-5.5
→ LiveBench Agentic Coding: #1–2 open overall
Top-3 Rankings:
→ FrontierSWE (Dominance): #3 overall, 74.4% (near-tie with Opus 4.8's 75.1%, beats GPT-5.5)
→ SWE-bench Pro: #1 among open models, 62.1% (beats GPT-5.5's 58.6%)
→ MCP-Atlas (tool usage): ~77.0, near/in top 3
→ Humanity's Last Exam (with tools): ~54.7, beats GPT-5.5
→ BenchLM leaderboard: #3–4 of 124 models
→ Code/Agent Arena (Frontend): #2 overall, behind only Fable →PostTrainBench: #2 overall, behind Opus 4.8, beats GPT-5.5
Insane resume.
It's the first open-weight model to take #1 in multiple categories (and it's beating frontier models across the board).
#1 Wins:
→ Design Arena: ~1360 Elo, first open-weight model to take #1, beats Fable 5 by ~10 Elo
→ Terminal-Bench 2.1: 81.0% (best run 82.7%), first open model to cross 80%
→ Artificial Analysis Intelligence Index v4.1: Top open-weight model, score 51
→ GDPval-AA v2: Leading open-weight, competitive with/ahead of GPT-5.5
→ LiveBench Agentic Coding: #1–2 open overall
Top-3 Rankings:
→ FrontierSWE (Dominance): #3 overall, 74.4% (near-tie with Opus 4.8's 75.1%, beats GPT-5.5)
→ SWE-bench Pro: #1 among open models, 62.1% (beats GPT-5.5's 58.6%)
→ MCP-Atlas (tool usage): ~77.0, near/in top 3
→ Humanity's Last Exam (with tools): ~54.7, beats GPT-5.5
→ BenchLM leaderboard: #3–4 of 124 models
→ Code/Agent Arena (Frontend): #2 overall, behind only Fable →PostTrainBench: #2 overall, behind Opus 4.8, beats GPT-5.5
Insane resume.
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🇨🇭 Global One SI - Prompt
$LAES/USD H2 #Indicator #Signal #Trading #GlobalOneAI
The strong presence of $MSFT and $LAES at IQT Nordics 2026 highlights a strategic technology alliance that has spanned over two decades.
As $MSFT pushes the boundaries of cloud-based quantum computing, $LAES, alongside its parent company $WKEY, provides the critical hardware-level counterweight.
Their collaboration focuses heavily on Post-Quantum Cryptography (PQC), developing advanced semiconductors designed to shield digital infrastructure from future quantum-powered cyber threats.
By sharing the stage as top-tier sponsors at this premier Nordic event, the two companies are actively demonstrating how their synergy bridges cutting-edge quantum research with practical, deployment-ready security solutions for tomorrow's global networks.
As $MSFT pushes the boundaries of cloud-based quantum computing, $LAES, alongside its parent company $WKEY, provides the critical hardware-level counterweight.
Their collaboration focuses heavily on Post-Quantum Cryptography (PQC), developing advanced semiconductors designed to shield digital infrastructure from future quantum-powered cyber threats.
By sharing the stage as top-tier sponsors at this premier Nordic event, the two companies are actively demonstrating how their synergy bridges cutting-edge quantum research with practical, deployment-ready security solutions for tomorrow's global networks.
🇨🇭 Global One SI - Prompt
3 Weather Trading Strategies That Are Working Best Right Now (Barbell + Tail Hunting + Laddering) Weather markets on Polymarket remain one of the most consistent sources of edge, but success heavily depends on your approach Here are the three strategies…
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Before you quit your 9-5 to trade full-time, remember you're competing with a student running a dorm wealther station making $100k+
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Forwarded from 🛢WTI, Brent Crude Oil, NGAS Trading 📊
🇺🇸 President Trump just now:
“19 million barrels of oil flowed through the Strait of Hormuz yesterday, an all-time record.”
“19 million barrels of oil flowed through the Strait of Hormuz yesterday, an all-time record.”
🇨🇭 Global One SI - Prompt
3 Weather Trading Strategies That Are Working Best Right Now (Barbell + Tail Hunting + Laddering) Weather markets on Polymarket remain one of the most consistent sources of edge, but success heavily depends on your approach Here are the three strategies…
Tail Risk Buying on Polymarket: How to Buy Extreme Buckets and Catch 10–20x When Everyone Else Is Scared (TAIL EDGE STRATEGY)
Most traders avoid far-tail buckets on temperature markets
Smart money does the exact opposite - they quietly farm the fattest alpha there with minimal risk
> Why Tail Buckets Are a Hidden Goldmine
Ensemble models (ECMWF, GEFS, HRRR) are almost always underdispersive - they draw too narrow a range of possible temperatures
The market is even more scared of extremes. As a result, the farthest buckets (hottest or coldest) chronically trade at 4–12¢, while real probability is often 18–28%
One good tail hit per month easily pays for dozens of small losses
> 4 Key Principles
1. Underdispersion Check
If the ensemble spread is noticeably narrower than historical volatility for that city and date - tails are almost certainly underpriced
2. Climatology Anchor
Check how many times in the last 10–15 years the temperature went into a similar extreme on that exact day
3. Consensus Filter
Only buy when at least 2–3 independent models show the possibility of an extreme. If all models are stuck in a tight corridor - skip
4. Position Sizing Rule
Small bets only: 0.5–2% of bankroll. Even if 8 out of 10 tails lose, one big winner more than makes up for it
> Real Example (London, EGLC)
• Max Temp tomorrow market
• The >28°C bucket was trading at 7¢
• Ensemble + climatology showed ~21–23% probability
• 36 hours later it resolved at 29.1°C → 100¢
• +1320% on the position
> When This Edge Works Best
• Strong heatwaves and cold snaps
• Transitional days with fronts (when models disagree)
• Tomorrow and day-after markets (D+1 and D+2) - underdispersion is strongest here
• Volatile cities: NYC, Chicago, London, Tokyo, Shanghai, Miami
Tail buying combines perfectly with near-resolution and calibration edges
It’s a positively skewed strategy: you rarely lose big, but when you hit - you win very fat
Many top accounts in 2026 are crushing it exactly thanks to systematic tail buying
Save this post so you don’t lose it!
Link to Parity:
predictparity.com
Most traders avoid far-tail buckets on temperature markets
Smart money does the exact opposite - they quietly farm the fattest alpha there with minimal risk
> Why Tail Buckets Are a Hidden Goldmine
Ensemble models (ECMWF, GEFS, HRRR) are almost always underdispersive - they draw too narrow a range of possible temperatures
The market is even more scared of extremes. As a result, the farthest buckets (hottest or coldest) chronically trade at 4–12¢, while real probability is often 18–28%
One good tail hit per month easily pays for dozens of small losses
> 4 Key Principles
1. Underdispersion Check
If the ensemble spread is noticeably narrower than historical volatility for that city and date - tails are almost certainly underpriced
2. Climatology Anchor
Check how many times in the last 10–15 years the temperature went into a similar extreme on that exact day
3. Consensus Filter
Only buy when at least 2–3 independent models show the possibility of an extreme. If all models are stuck in a tight corridor - skip
4. Position Sizing Rule
Small bets only: 0.5–2% of bankroll. Even if 8 out of 10 tails lose, one big winner more than makes up for it
> Real Example (London, EGLC)
• Max Temp tomorrow market
• The >28°C bucket was trading at 7¢
• Ensemble + climatology showed ~21–23% probability
• 36 hours later it resolved at 29.1°C → 100¢
• +1320% on the position
> When This Edge Works Best
• Strong heatwaves and cold snaps
• Transitional days with fronts (when models disagree)
• Tomorrow and day-after markets (D+1 and D+2) - underdispersion is strongest here
• Volatile cities: NYC, Chicago, London, Tokyo, Shanghai, Miami
Tail buying combines perfectly with near-resolution and calibration edges
It’s a positively skewed strategy: you rarely lose big, but when you hit - you win very fat
Many top accounts in 2026 are crushing it exactly thanks to systematic tail buying
Save this post so you don’t lose it!
Link to Parity:
predictparity.com
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🇨🇭 Global One SI - Prompt
#BTC/USDT H2 #Indicator #Signal #Trading #GlobalOneAI Globalone.ch #Prompt
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If you bought #bitcoin 3 years ago you’re up 350%, but if you bought it 8 months ago you’re down 50%
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How it feels when Claude down for the last few hours