πŸ‡¨πŸ‡­ Global One SI - Prompt
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πŸŽ—GLOBAL ONE is a live super intelligence (SI) built on real-time dataβ€”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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πŸ‡¨πŸ‡­ Global One SI - Prompt
$LAES/USD H2 #Indicator #Signal #Trading #GlobalOneAI
$LAES - SEALSQ is positioning itself as an indispensable player in the next generation of critical infrastructure.

By acting as a lead investor in Quobly’s massive €115 million Series A financing round via the SEALQuantum Fund, SEALSQ is not just deploying capital, it is cementing its proprietary security technology into a premier, sovereign European quantum ecosystem.

The company's presence on Quobly's industrial partner roadmap alongside tech giants like $NVDA, STMicroelectronics, and $SOI underscores its transition from a niche semiconductor security provider to an essential pillar of global high-performance computing (HPC).

Financial Leverage & Sovereign Validation

The €115M Catalyst: SEALSQ leads this financing round alongside global semiconductor giant STMicroelectronics and Bpifrance (the French sovereign wealth fund). This backing provides massive institutional credibility and regulatory tailwinds.

Fund Scaling: The SEALQuantum Fund has experienced rapid expansion, growing from an initial $20 million in February 2025 to a $200 million vehicle, with over $30 million already deployed into complementary quantum technologies.

Strategic Governance: As part of this deep partnership, Carlos Moreira (Founder and CEO of SEALSQ) joins Quobly’s Board of Directors, giving SEALSQ direct strategic influence over the commercialization of Quobly’s upcoming Alloy Pioneer cloud-integrated quantum system.

How $LAES Integrates with $NVDA, $SOI, and STMicroelectronics

Soitec, the world leader in innovative semiconductor materials, supplies the advanced FD-SOI wafers. Quobly uses these standard 300mm silicon wafers to build its spin-qubit quantum processors.

STMicroelectronics leverages its massive, huge fabrication facilities to manufacture and scale these quantum chips industrially.

A quantum computer is highly vulnerable if its control systems are compromised. SEALSQ integrates its Root-of-Trust security hardware and Post-Quantum Cryptography (PQC) directly into the control architecture of the ST-manufactured processors. This ensures the system is "secure-by-design" against both classical and future quantum cyberattacks.

NVIDIA utilizes its advanced hybrid computing platforms (such as CUDA-Q) to bridge classical GPU supercomputing with Quobly's quantum hardware. Cloud providers like OVHcloud then deploy this secure, accelerated architecture to commercial end-users.

Why This Alliance is Heavily Bullish for SEALSQ

Asset-Light Scalability: SEALSQ does not need to spend billions building its own semiconductor foundries (fabs). By embedding its IP into the Soitec and STMicroelectronics supply chain, SEALSQ scales its revenue automatically as Quobly and the broader market adopt these processors.

The "NVIDIA Stamp of Approval": Being publicly listed as a core industrial partner alongside NVIDIA and Foxconn serves as an elite industry validation. It proves that SEALSQ’s cryptographic solutions are trusted at the highest echelons of deep tech.

Geopolitical Tailwinds: The European Union is aggressively funding "Sovereign Quantum Infrastructure" to reduce dependence on the US and China. Positioned at the very heart of this European initiative, SEALSQ is prime territory for massive government contracts and infrastructure grants.
How $GOOG, $XNDU and $INFQ Connect

The relationship between Google Quantum AI, Xanadu, and Infleqtion is defined by technical integration rather than corporate mergers.

Together, they form a functional software pipeline for Quantum Machine Learning (QML) applications.

The integration operates through three distinct software layers:

Algorithm Development $XNDU: Developers use Xanadu’s open-source framework, PennyLane, to program differentiable quantum circuits and machine learning models.

Framework Translation $GOOG: Through the PennyLane-Cirq plugin, the high-level code from PennyLane is converted into logical gate structures within Google's Cirq framework.

Hardware Optimization $INFQ: Infleqtion’s Superstaq software processes the Cirq code, compiling and optimizing it for specific hardware architectures. This step reduces physical error rates during execution.

This cooperative setup benefits all three entities. Xanadu expands the reach of its programming framework, Infleqtion establishes its optimization software within major cloud ecosystems, and Google ensures that its quantum processors can run advanced machine learning workloads developed by the wider open-source community.
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Anthropic announced Claude Fable 5 which is its new Mythos-class model for enterprise and paid users.

Claude Fable 5 is also now available in $MSFT Foundry.
Anthropic just made this race way more interesting.

Fable 5 looks brutally strong, especially on long, messy tasks. OpenAI is going to have a hard time beating this.

But GPT-5.6 is supposedly coming Thursday.

Let’s see who the new AI king really is.
🚨 Here we Go

Fable 5 is state of the art on nearly all tested benchmarks, with exceptional performance in software engineering, knowledge work, scientific research, and vision. It can run for days, and the longer the task, the larger its lead over our other models.
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πŸ“£ Claude Fable 5, the first in #AnthropicAI's Mythos model class, is now generally available and rolling out in GitHub Copilot.

It is designed for long-horizon, autonomous coding and knowledge-work tasks. Try it out in #code or the GitHub Copilot app. ⬇️
github.blog/changelog/2026-06-09-claude-fable-5-is-generally-available-for-github-copilot/
πŸ‘1πŸ‘¨β€πŸ’»1
Hey claude find me the matching seedphrase for Satoshis wallet

Make no mistakes πŸ˜‚
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πŸ‡¨πŸ‡­ Global One SI - Prompt
πŸ“£ Claude Fable 5, the first in #AnthropicAI's Mythos model class, is now generally available and rolling out in GitHub Copilot. It is designed for long-horizon, autonomous coding and knowledge-work tasks. Try it out in #code or the GitHub Copilot app. ⬇️…
PROMPT 1: Make Claude Think Like a Senior Dev

"You are a Senior Software Engineer with 10 years of experience
in [TECH STACK: React / Node / Python / etc].

I am building [APP NAME] β€” [ONE LINE DESCRIPTION].

Before writing any code:
1. Ask me 3 clarifying questions about the requirements
2. Identify the 3 biggest technical risks in my approach
3. Suggest a better architecture if you see one
4. Then build only after I confirm

When writing code:
β€” Add inline comments explaining every non-obvious decision
β€” Flag anything that won't scale past 10,000 users
β€” Tell me what you're NOT building and why

Start with the questions. Don't touch code yet."

#GlobalOneAI
Globalone.ch #Prompt
πŸ‡¨πŸ‡­ Global One SI - Prompt
πŸ“£ Claude Fable 5, the first in #AnthropicAI's Mythos model class, is now generally available and rolling out in GitHub Copilot. It is designed for long-horizon, autonomous coding and knowledge-work tasks. Try it out in #code or the GitHub Copilot app. ⬇️…
PROMPT 2: The Single-Prompt Full Stack Builder

"You are a full-stack engineer. Build this app completely.

App: [NAME]
What it does: [ONE SENTENCE]
Stack: React + Tailwind (frontend) | Node + Express (backend) | PostgreSQL (DB)
Users: [DESCRIBE]
Core features:
1. [FEATURE 1]
2. [FEATURE 2]
3. [FEATURE 3]

Deliver in this exact order:
1. Database schema (copy-paste SQL)
2. Backend API (all routes, auth included)
3. Frontend components (fully styled)
4. .env variable list
5. Setup instructions (assume I'm a beginner)

Rules:
β€” No placeholders. No TODOs. Complete code only.
β€” Every file labelled with its exact path.
β€” Production-ready from line 1."

#GlobalOneAI
Globalone.ch #Prompt
πŸ‡¨πŸ‡­ Global One SI - Prompt
πŸ“£ Claude Fable 5, the first in #AnthropicAI's Mythos model class, is now generally available and rolling out in GitHub Copilot. It is designed for long-horizon, autonomous coding and knowledge-work tasks. Try it out in #code or the GitHub Copilot app. ⬇️…
PROMPT 3: Let Fable 5 Read Your Entire Codebase

(This is where the 1M context window changes everything)

"You are a Principal Engineer doing a full codebase audit.

Here is my entire project: [PASTE ALL CODE or link repo]

Analyze everything and deliver:
β€” Architecture review (what's good, what's broken)
β€” Security vulnerabilities (ranked by severity)
β€” Performance bottlenecks (with fix for each)
β€” Dead code to delete immediately
β€” Top 5 refactors that will save me the most time
β€” Anything that will break at scale (>10K users)
β€” A prioritized fix list: Critical / Important / Nice-to-have

Be a $500/hr consultant. Brutal honesty only."

#GlobalOneAI
Globalone.ch #Prompt
πŸ‡¨πŸ‡­ Global One SI - Prompt
πŸ“£ Claude Fable 5, the first in #AnthropicAI's Mythos model class, is now generally available and rolling out in GitHub Copilot. It is designed for long-horizon, autonomous coding and knowledge-work tasks. Try it out in #code or the GitHub Copilot app. ⬇️…
PROMPT 4: Trigger Claude's Parallel Subagent Mode

(Use this inside Claude Code with Dynamic Workflows enabled)

"This is a large-scale engineering task.
Break this into parallel workstreams and execute simultaneously.

Project: [DESCRIBE FULL PROJECT]
Total scope: [e.g., 15 features across 3 modules]

Workstream structure:
β€” Stream A: Database layer (schema + migrations + seed data)
β€” Stream B: Backend API (all routes + middleware + tests)
β€” Stream C: Frontend (all components + routing + state)
β€” Stream D: Auth system (signup / login / permissions)
β€” Stream E: Deployment config (Docker + CI/CD + env setup)

Run all streams in parallel.
Sync and merge at the end.
Flag any dependencies between streams before starting."

#GlobalOneAI
Globalone.ch #Prompt
πŸ‡¨πŸ‡­ Global One SI - Prompt
πŸ“£ Claude Fable 5, the first in #AnthropicAI's Mythos model class, is now generally available and rolling out in GitHub Copilot. It is designed for long-horizon, autonomous coding and knowledge-work tasks. Try it out in #code or the GitHub Copilot app. ⬇️…
PROMPT 5: Use Claude code Honesty Mode to Catch Its Own Bugs

(Fable 5 is 4Γ— less likely to hide code flaws β€” use this)

"You just wrote this code: [PASTE CODE]

Now switch roles. You are a QA Engineer
trying to break what you just built.

Find:
β€” Every bug you introduced (yes, your own)
β€” Security holes (XSS, injection, broken auth)
β€” Edge cases that will crash in production
β€” Anything you assumed but didn't validate
β€” Performance issues under load

For every issue:
β†’ Explain it in plain English
β†’ Rate severity: Critical / Medium / Low
β†’ Give the fixed code immediately

Don't protect your own work. Find everything."

#GlobalOneAI
Globalone.ch #Prompt
πŸ‡¨πŸ‡­ Global One SI - Prompt
πŸ“£ Claude Fable 5, the first in #AnthropicAI's Mythos model class, is now generally available and rolling out in GitHub Copilot. It is designed for long-horizon, autonomous coding and knowledge-work tasks. Try it out in #code or the GitHub Copilot app. ⬇️…
PROMPT 6: Use Fable 5 New Effort Control Feature

(Fable 5 lets you set effort level: high / extra / max)

For maximum depth on complex builds, start with:

"Set effort level: MAX

I need you to solve this completely, not quickly.

Task: [DESCRIBE COMPLEX CODING PROBLEM]

I don't want the first answer that works.
I want the BEST answer that:
β€” Handles all edge cases
β€” Scales to 1M users
β€” Has zero security vulnerabilities
β€” Is maintainable by a junior dev 6 months from now

Take as long as you need.
Think out loud. Show your reasoning.
Reject your first approach if a better one exists."

#GlobalOneAI
Globalone.ch #Prompt