GPT 5.6 will beat Fable 5 where it actually matters: real world usage.
The big difference will be agents.
Planning, tool use, long context, recovering from mistakes, finishing messy tasks without constant babysitting.
That’s the stuff people will feel every day.
Benchmarks are nice.
Reliable agents are the real product.
The big difference will be agents.
Planning, tool use, long context, recovering from mistakes, finishing messy tasks without constant babysitting.
That’s the stuff people will feel every day.
Benchmarks are nice.
Reliable agents are the real product.
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If Elon Musk can expose how unprofitable LLMs are by suddenly announcing drastic cost cutting measures, then it destroys Sam Altman before he has a chance to IPO.
Thus completing the circle of revenge Elon has been planning for years.
Thus completing the circle of revenge Elon has been planning for years.
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🇨🇭 Global One SI - Prompt
Photo
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We've officially entered the endgame...
🇨🇭 Global One SI - Prompt
THE BOSS OF ALL BOSSES!!!😎🇺🇸🔥🔥🔥
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Iran’s negotiating team every time Trump hits post
🇨🇭 Global One SI - Prompt
Whoever controls energy and compute will be the new Rockefeller.
Controversial Opinion: If you replace all of your employees with AI then you no longer own your company...
Anthropic does.
Anthropic does.
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ANTHROPIC HAS GONE FROM $4 BILLION TO $965 BILLION IN JUST 3 YEARS
Here is every funding round in the company's history:
- 2021: Founded
- 2023: $4.1B valuation (early fundraising)
- March 2025: $61.5B valuation (Series E)
- September 2025: $183B valuation (Series F)
- February 2026: $380B valuation (Series G)
- May 2026: $965B valuation (Series H)
That is a 235x increase in valuation in roughly 3 years from 2023 to today.
For context: Anthropic now has a $47 billion annual revenue run rate. It had $1 billion in run rate revenue at the start of 2025.
The company has filed confidentially for an IPO at a $965 billion valuation. It would be the second largest company to ever go public behind SpaceX.
Here is every funding round in the company's history:
- 2021: Founded
- 2023: $4.1B valuation (early fundraising)
- March 2025: $61.5B valuation (Series E)
- September 2025: $183B valuation (Series F)
- February 2026: $380B valuation (Series G)
- May 2026: $965B valuation (Series H)
That is a 235x increase in valuation in roughly 3 years from 2023 to today.
For context: Anthropic now has a $47 billion annual revenue run rate. It had $1 billion in run rate revenue at the start of 2025.
The company has filed confidentially for an IPO at a $965 billion valuation. It would be the second largest company to ever go public behind SpaceX.
Forwarded from 🛢WTI, Brent Crude Oil, NGAS Trading 📊
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🚨The Iranian delegation just walked out of the Switzerland talks.
The oil market should be paying closer attention than it is.
New footage shows the Iranian team leaving the venue in protest over Trump's threats, and VP JD Vance moving straight into talks with Pakistani PM Shehbaz Sharif right after the exit.
A walkout isn't a pause.
It's a signal that the diplomatic track is fragile.
On Monday I said this peace wasn't stable, and the price action keeps proving it.
As long as the negotiating table stays empty, the risk premium has room to build, and I think crude grinds higher this week.
The oil market should be paying closer attention than it is.
New footage shows the Iranian team leaving the venue in protest over Trump's threats, and VP JD Vance moving straight into talks with Pakistani PM Shehbaz Sharif right after the exit.
A walkout isn't a pause.
It's a signal that the diplomatic track is fragile.
On Monday I said this peace wasn't stable, and the price action keeps proving it.
As long as the negotiating table stays empty, the risk premium has room to build, and I think crude grinds higher this week.
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The real war isn’t political. It’s theological.
Xueqin Jiang: “You have to replace God with another God. You can’t just not have God.”
Money has been the operating system of human civilization for centuries. Not a tool. A deity.
Every structure of power exists to serve the people who control the ledger.
Jiang: “Finance wants to maintain money as the God, and the tech sector wants to promote AI as the God.”
You cannot dismantle a ruling class by attacking their capital. You have to replace their god.
Jiang: “Most people see it as a struggle between the left and the right, but if you go deeper, it becomes one of globalist versus nationalist. And then if you go deeper, it’s also a conflict between finance versus the tech sector.”
Left versus right. The culture wars. The populist uprising. Surface tremors above a fault line most people will never see.
Finance built civilization on scarcity. AI is about to make intelligence infinite. One of those systems survives.
Jiang: “The tech sector is trying to replace finance, but finance is like, ‘screw you, I’ve been in power for like hundreds of years, I’m not going to go away peacefully.’”
No god abdicates willingly. But every time humanity replaced a dying god, we expanded. The printing press broke the Church’s monopoly on knowledge. Democracy broke the monarchy’s monopoly on power.
The god of scarcity does not survive the age of abundance. This is not a collapse. It is the destruction of a prison.
Everything you thought was politics was a succession crisis between gods.
Xueqin Jiang: “You have to replace God with another God. You can’t just not have God.”
Money has been the operating system of human civilization for centuries. Not a tool. A deity.
Every structure of power exists to serve the people who control the ledger.
Jiang: “Finance wants to maintain money as the God, and the tech sector wants to promote AI as the God.”
You cannot dismantle a ruling class by attacking their capital. You have to replace their god.
Jiang: “Most people see it as a struggle between the left and the right, but if you go deeper, it becomes one of globalist versus nationalist. And then if you go deeper, it’s also a conflict between finance versus the tech sector.”
Left versus right. The culture wars. The populist uprising. Surface tremors above a fault line most people will never see.
Finance built civilization on scarcity. AI is about to make intelligence infinite. One of those systems survives.
Jiang: “The tech sector is trying to replace finance, but finance is like, ‘screw you, I’ve been in power for like hundreds of years, I’m not going to go away peacefully.’”
No god abdicates willingly. But every time humanity replaced a dying god, we expanded. The printing press broke the Church’s monopoly on knowledge. Democracy broke the monarchy’s monopoly on power.
The god of scarcity does not survive the age of abundance. This is not a collapse. It is the destruction of a prison.
Everything you thought was politics was a succession crisis between gods.
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🇨🇭 Global One SI - Prompt
Meta can throw billions at AI and still somehow look late. The new model is decent, but the whole thing feels like panic buying talent and hoping scale fixes taste. Do you actually see them catching up?
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Zuckerberg says Meta's Llama race changes in the next 12-18 months: most of the code will be written by AI - not autocomplete, but agents that run tests and improve the model loop.
"We're not trying to build a general developer tool. We are trying to build a coding agent and an AI research agent that basically advances Llama research specifically."
"Sometime in the next 12 to 18 months, we'll reach the point where most of the code that's going towards these efforts is written by AI."
"And I don't mean autocomplete."
"I'm talking more like you give it a goal, it can run tests, it can improve things, it can find issues."
"It writes higher quality code than the average very good person on the team already."
The hidden bottleneck is not chat UX. It is closing the loop between AI research, code, tests, and self-improvement inside the lab.
"We're not trying to build a general developer tool. We are trying to build a coding agent and an AI research agent that basically advances Llama research specifically."
"Sometime in the next 12 to 18 months, we'll reach the point where most of the code that's going towards these efforts is written by AI."
"And I don't mean autocomplete."
"I'm talking more like you give it a goal, it can run tests, it can improve things, it can find issues."
"It writes higher quality code than the average very good person on the team already."
The hidden bottleneck is not chat UX. It is closing the loop between AI research, code, tests, and self-improvement inside the lab.
🇨🇭 Global One SI - Prompt
Who’s Building With Whom in Humanoid Robots? Notable deployments, pilots and AI stacksJune 2026 snapshotNodes scaled by revenue / company scale CENTRAL ROBOT MAKERS ➤ Tesla$94.8B revenueOptimus internal developmentConnected only to Tesla Factories ➤ Figure…
The Humanoid Robot Technology Stack
A visual map of the core technologies shaping humanoid robotics.
At the center:
➤ Enablers
‣ Sensors
‣ Compute
‣ Data
‣ Actuators
‣ Safety
This is not a market adoption chart.
It is a technology stack map.
1/5
➤ EDUCATION
These are the tools that help humanoid robots learn, train, test and improve before real deployment.
‣ Robot Operating System
‣ Simulation Platforms
‣ Vision Models
‣ Data Collection
‣ Teleoperation Tools
‣ Fleet Analytics
‣ Training Pipelines
‣ Motion Planning
‣ Reinforcement Learning
‣ Dataset Management
‣ Behavior Cloning
‣ Safety Testing
2/5
➤ EXPOSURE
These systems connect humanoid robots to shared models, feedback loops and wider research ecosystems.
‣ Cloud Robot Learning
‣ Shared Skill Libraries
‣ Foundation Models
‣ Multi-Robot Learning
‣ Human Feedback
‣ Developer Communities
‣ Benchmark Platforms
‣ Open-Source Models
‣ Research Labs
‣ Knowledge Transfer
3/5
➤ ENVIRONMENT
This is the infrastructure that lets humanoid robots operate outside the lab.
‣ Edge Compute
‣ Navigation Stack
‣ Perception Stack
‣ Battery System
‣ Wireless Connectivity
‣ Mapping Tools
‣ Remote Monitoring
‣ Deployment Dashboards
‣ Robot Apps Marketplace
‣ Maintenance Software
‣ Compliance Tools
4/5
➤ EXPERIENCE
This is where humanoid robots turn training into real-world behavior.
‣ Real World Practice
‣ Task Demonstrations
‣ Factory Pilots
‣ Warehouse Trials
‣ Home Testing
‣ Grasping Practice
‣ Recovery Training
‣ Human-Robot Interaction
‣ Operator Feedback
‣ Scenario Replay
5/5
How to read the map:
➤ Solid circle
Core robot technology
➤ Double outlined circle
Adapted external technology
➤ Circle size
Current importance in humanoid robotics
Humanoid robots are not one technology.
They are a stack: body software data training deployment and feedback loops working together.
A visual map of the core technologies shaping humanoid robotics.
At the center:
➤ Enablers
‣ Sensors
‣ Compute
‣ Data
‣ Actuators
‣ Safety
This is not a market adoption chart.
It is a technology stack map.
1/5
➤ EDUCATION
These are the tools that help humanoid robots learn, train, test and improve before real deployment.
‣ Robot Operating System
‣ Simulation Platforms
‣ Vision Models
‣ Data Collection
‣ Teleoperation Tools
‣ Fleet Analytics
‣ Training Pipelines
‣ Motion Planning
‣ Reinforcement Learning
‣ Dataset Management
‣ Behavior Cloning
‣ Safety Testing
2/5
➤ EXPOSURE
These systems connect humanoid robots to shared models, feedback loops and wider research ecosystems.
‣ Cloud Robot Learning
‣ Shared Skill Libraries
‣ Foundation Models
‣ Multi-Robot Learning
‣ Human Feedback
‣ Developer Communities
‣ Benchmark Platforms
‣ Open-Source Models
‣ Research Labs
‣ Knowledge Transfer
3/5
➤ ENVIRONMENT
This is the infrastructure that lets humanoid robots operate outside the lab.
‣ Edge Compute
‣ Navigation Stack
‣ Perception Stack
‣ Battery System
‣ Wireless Connectivity
‣ Mapping Tools
‣ Remote Monitoring
‣ Deployment Dashboards
‣ Robot Apps Marketplace
‣ Maintenance Software
‣ Compliance Tools
4/5
➤ EXPERIENCE
This is where humanoid robots turn training into real-world behavior.
‣ Real World Practice
‣ Task Demonstrations
‣ Factory Pilots
‣ Warehouse Trials
‣ Home Testing
‣ Grasping Practice
‣ Recovery Training
‣ Human-Robot Interaction
‣ Operator Feedback
‣ Scenario Replay
5/5
How to read the map:
➤ Solid circle
Core robot technology
➤ Double outlined circle
Adapted external technology
➤ Circle size
Current importance in humanoid robotics
Humanoid robots are not one technology.
They are a stack: body software data training deployment and feedback loops working together.
I keep wondering what will matter more for AI progress over the next decade:
quantum computing or fusion reactors?
Quantum could change what we can solve.
Fusion could change how much intelligence we can afford to run.
My gut says energy wins first. Cheap compute needs cheap power.
But if quantum suddenly becomes useful, all bets are off.
Which one do you think matters more?
quantum computing or fusion reactors?
Quantum could change what we can solve.
Fusion could change how much intelligence we can afford to run.
My gut says energy wins first. Cheap compute needs cheap power.
But if quantum suddenly becomes useful, all bets are off.
Which one do you think matters more?
GPT-5.6 rumor watch is getting spicy.
Stuff people are talking about:
• possible release this Thursday
• stronger coding
• better reasoning
• more agentic workflows
• bigger context window
• maybe a cleaner, faster ChatGPT experience
No official confirmation yet, so treat it as rumor smoke.
But if even half of this is real, Thursday could be a very fun day for AI.
Stuff people are talking about:
• possible release this Thursday
• stronger coding
• better reasoning
• more agentic workflows
• bigger context window
• maybe a cleaner, faster ChatGPT experience
No official confirmation yet, so treat it as rumor smoke.
But if even half of this is real, Thursday could be a very fun day for AI.