MARKETS ARE CLOSED AND SPACEX IS TOMORROW

Fable 5 and the other Claude models are leading the composite LLM leaderboard by a healthy margin. Considering pricing, features, and benchmark scores, Anthropic is leading the pack.

CME GROUP TO EXPAND 24/7 TRADING FOR #WTI CRUDE OIL AND #GOLD

The robotics race is not one lane.

‣Robotiq handles the grip
‣OTTO moves the load
‣Boston Dynamics pushes mobility
‣OnRobot builds the end effectors
‣Tesla brings humanoids into the debate
‣Symbotic attacks warehouse automation

Different robots. Same pressure on human labor.

#Robotics #Automation #HumanoidRobots #PhysicalAI #IndustrialRobotics #BostonDynamics #TeslaOptimus #Symbotic #AI #FutureOfWork

SEQUOIA CAPITAL'S SPACEX STAKE IS WORTH MORE THAN $20 BILLION

They own ~1.5% of the company after investing ~$2B total, including $800B into X.

Sequoia first backed SpaceX at the end of 2019, when the company was valued ~$33 billion.

Jeff Bezos on CNBC explains revealed what Prometheus is building.

Today his new company Prometheus announced a $12B funding round at a valuation of $41B .

Prometheus trying to build an artificial general engineer that can help design and manufacture physical products like engines, medical devices, and electronics.

So the target areas are hard physical products like jet engines, chips, bridges, medical devices, consumer electronics, aerospace systems, vehicles, and drug design, where design cycles can take years because every idea has to survive physics, materials, cost, testing, and factory limits.

Bezos’ jet-engine example explains it well: asking for the same engine with 10% more thrust can become a 10-year engineering program, and Prometheus wants to shrink that “dream-build” cycle by 10x or more.

The $6.2B launch funding gave Prometheus a massive starting base, and the new raise says the company likely needs far more compute, talent, and industrial data before it can prove the product.

Their $41B valuation shows that frontier AI is becoming less a software race than a compute procurement race.

A company with no broadly shipped product can raise $12 billion at a $41 billion valuation because investors are not only funding a model, they are prepaying for the machines that might make the model possible.

The scarce asset is no longer just talent or algorithms, but clustered GPUs, power contracts, cooling, networking, and the operational skill to keep expensive silicon busy.

They are proof that demand is arriving faster than infrastructure can be built, and that every frontier funding round quietly turns into a future claim on power, racks, GPUs, and uptime.

OpenAI is buying Ona to give Codex agents a secure cloud desk that stays open after humans leave.

Codex already has 5M weekly users, up 400%, but harder work breaks the old chat pattern because agents need tools, files, credentials, logs, and time.

Ona adds persistent cloud workspaces, meaning an agent gets a controlled place to run commands, inspect systems, preserve context, and resume work without depending on one device.

The enterprise angle is the real acquisition target: companies want agents inside their own cloud boundary, with scoped credentials, review trails, access limits, and auditable activity.

This makes Codexmore like a managed execution layer for tests, bug fixes, refactors, vulnerability work, migrations, and multi-step knowledge tasks.

OpenAI is buying Ona because Codex’s next bottleneck is not model intelligence, but secure execution inside enterprise infrastructure.

A coding agent cannot do serious production work through chat alone, because it needs a running workspace with the repo, build tools, test data, credentials, logs, permissions, and enough state to continue work over hours or days.

The technical asset is customer-controlled cloud execution, meaning the agent can run inside the customer’s cloud boundary instead of forcing sensitive code, secrets, and workflow state into a generic external sandbox.

Because, most enterprise client of OpenAI will ask question like “Can Codex safely operate for hours or days inside a bank, pharma company, or sovereign fund’s real cloud environment, with their access rules, logs, credentials, reviews, and security controls?”

And that's the gap this acquisition will fill.

OpenAI says Ona brings secure, persistent environments where agents can access tools, systems, and context over time, and can keep working inside a customer’s cloud even when laptops are closed.

So now OpenAI can charge for longer-running, higher-value workflows such as migrations, vulnerability fixes, test generation, incident investigation, refactoring, and internal tool creation, not just short coding tasks.

How chips are made.

Circular Financing problem in AI is there, see the image below from IDC.

Revenue growth in enterprise Applications due to AI is a pragmatic metric to judge the real impact of AI

Explosive AI infrastructure growth (GPUs, cloud, data centers) is partially clouded by circular financing — the same players (NVIDIA, Microsoft, OpenAI, etc.) investing in and selling to each other. Real revenue? Yes. Clean, arm’s-length demand? Harder to tell.
The clearer signal will come from the application layer. When enterprises renew or expand AI-powered ERP, CRM, or HCM tools based on measurable ROI — cost savings, efficiency, revenue impact — that’s genuine adoption. No circular loops there.
Just like the cloud boom, infrastructure leads… but applications capture the lasting value.
Watch the apps. That’s where the AI story gets real.

A nice slide summarising Europe's scale up problem.

In China’s state-directed, policy-accelerated model, strong talent, capital, and supply chain, drive high conversion rates, 37% post-Series A.

In the US market-led, direct hyperscalar demand from big tech enable fast iteration and 24% conversion.

And in Europe’s research-led, missing blocks in capital and supply chain combined with lack of local customers results in slow iteration and only 6% conversion.

Claude Fable 5 (Mythos) can literally build entire video games from scratch.

Use the Higgsfield MCP to generate entire storylines, in-game visuals, and have Mythos code the entire thing end-to-end.

Here's exactly how to code entire playable games with Fable 5 (prompt included)

China's EngineAI has submitted an IPO application to the Hong Kong Stock Exchange on a confidential basis.

$RKLB: Rocket Lab just joined the NASDAQ-100 Index.

We ride 🚀

Infinity Jukebox 🥁

AI doomers are not “cautious.”

They are trying to freeze the one technology that could cure diseases, end scarcity, accelerate science, and give humanity a real shot at surviving this century.

Blocking AI progress while billions still suffer is pure evil.

It's time for a Strategic Compute Reserve.

$RKLB: Space is the place.

$SPCX - I am staying on the sidelines for the SpaceX IPO today.

With a massive $1.75T valuation and only 4% of shares floating initially, the hype is priced in.

For long-term growth, the risk-reward and upside are much better in smaller, lower market-cap space plays.

I am keeping my eyes on direct SpaceX suppliers like $VELO and major infrastructure players like $VOYG.

For high-growth satellite data and services, $BKSY, $SPIR, AAC Clyde Space, and GomSpace offer way more leverage.

Lastly, hardware and component providers like Filtronic and CML Microsystems.