Deliver bot company partners up with Uber!

Uber Eats and Starship Robots have announced a multi-country partnership to roll out Level 4 delivery robots across the UK in 2025, Europe in 2026, and the U.S. in 2027.

Its fleet has already completed 9M+ deliveries, handled 200M real-world crossings, and runs 2,700+ robots across 270 locations. Now those same robots will plug directly into Uber’s logistics network, starting with city-wide deployments in Leeds this December, under-30-minute deliveries, up to 2 miles, fully autonomous.

This is what mature autonomy looks like: not hype, not concept demos, but profitable, at scale, in a random suburb in the world. While the industry debates humanoids vs wheels, Starship is doing the one thing that actually matters: operating millions of real episodes that train the AI to survive unpredictable city environments.

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⚠️ The great inversion has started

Sam Altman just said the quiet part out loud and it’s the one thing Wall Street still refuses to price in.

A leaked November memo shows OpenAI warning employees of “rough vibes” and revenue growth potentially collapsing toward 5%.
This was before Google detonated Gemini 3.0 on November 18.
In the same memo, Altman praised Google’s “excellent work” and declared a shift to full wartime mode.

Here’s the structural truth everyone is dancing around:

• OpenAI sits on a $500B valuation
• Revenue > $20B this year
• Projected $8B burn in 2025
• Internal forecasts show $115B cumulative losses by 2029
• Valuation implies a 25× forward sales multiple — based on infinite hypergrowth the CEO himself is no longer promising

Now contrast that with the opponent:

• Google holds $98.5B in cash
• 4B users across Search, YouTube, Android, Gmail, Maps
• Live, continuous data streams fed into every product
• Custom TPUs cut out the Nvidia margin tax entirely
• Gemini 3.0 now runs natively across Google’s entire ecosystem
• And Alphabet trades at <8× trailing revenue

This is not “OpenAI vs Google.”
This is a structural mismatch: One company must convince investors that losing over $100B will someday justify a half-trillion valuation. The other already controls the distribution, the data, the chips, and the users, while printing tens of billions in profit.

If AI power centralizes around platforms that own the infrastructure — instead of labs that rent it — the entire OpenAI venture thesis breaks. Microsoft’s $13B buys time. It does not buy immunity from arithmetic.

The memo leaked on November 21. The market still hasn’t absorbed it. When a $500B company openly admits the path forward is uncertain, the repricing isn’t coming.

It has already begun.

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OpenAI is planning to use more energy than the UK or Germany in 5 years, and more than India in 8 years. And that’s just one company.

Can someone please explain how the UK and Germany will save the planet? Does it really make sense to sacrifice their economies and jobs?

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An AI detector just flagged the 1776 Declaration of Independence as 99.99% ai-written.

What's more likely? 🤔

A) AI Detector doesn't work
B) Founding Fathers are time travellers

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That's pretty powerful

You can turn any YouTube video into an infographic using Nano Banana Pro in Gemini.

- Copy any YT link
- Paste in Gemini and ask it to analyze it (Gemini can access the video just using the URL)
- Then ask for an infographic

Prompt:

"Generate an image of an infographic explaining the concept presented in the video."

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China’s new AI-based capsule is making stomach exams quick and painless. You just swallow it, wait for 8 minutes, and it’s over.

No tubes or anesthesia. Priced around $280

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Your daily update on robots capabilities.

Today: MagicLab Z, a bipedal humanoid shows his agility

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Gemini 3 code a visualization of plasma flow in a tokamak

Imagine what Gemini 4 will be capable of.

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The impacts are getting closer.

Unemployment among recent U.S. college graduates could spike to 25% within a few years due to AI-driven job displacement, warns Senator Mark Warner, who says this shock could trigger “unprecedented” social disruption if policymakers fail to act.

Lawmakers across parties argue that AI could eliminate tens of millions of jobs, and they’re pushing for reporting requirements and retraining programs as fears grow that Congress may again fail to regulate a major tech shift.

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🚀 Claude Opus 4.5: the new world-class model for coding, agents, and computer use

Anthropic has launched Opus 4.5, a major step forward in what AI systems can execute and a preview of how future work will actually get done.

https://www.claude.com/claude-for-excel

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🔬 The Genesis Mission: America’s new AI scientist-as-infrastructure

The White House just launched Genesis a DOE-led national AI platform that fuses supercomputers, federal science data, domain models, AI agents, and robotic labs into one integrated “AI-for-science” stack.

What it actually builds
• Unified DOE supercomputers + datasets for training scientific foundation models
• AI agents that explore designs, run simulations, and automate experiments
• Robotic labs + production lines wired into the model loop
• A federal AI backbone parallel to the commercial one

The targets & timelines
• DOE must propose 20+ national challenges in biotech, critical materials, nuclear, quantum, semiconductors, and advanced manufacturing
• 60 days: challenge list
• 90 days: full compute/storage inventory
• 120 days: initial models + datasets
• 270 days: first real AI-driven scientific result

Why it matters
• National labs become a unified AI stack
• Nvidia, cloud providers, and frontier AI labs become suppliers/co-developers
• IP, data access, and energy footprint become major battlegrounds

Genesis is the U.S. building a national AI scientist and the speed of execution will decide who captures the next decade of scientific and industrial breakthroughs.

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🧠 The era of “metalhumans” begins: Posthuman science is already here

Ted Chiang predicted it 25 years ago: a future where “metalhumans” digitally augmented intelligences, push science beyond human understanding. Replace “metalhumans” with AI, and his story becomes our present.

We’re entering an era where humans may no longer contribute original scientific work. As one character in Chiang’s story put it: humans are left to “catch crumbs from the table” of machine-driven discovery.

And today’s signals match the prophecy. AI is already winning Nobel Prizes, predicting proteins, designing materials, and steering chemical synthesis with precision that humans can’t follow or even fully explain. Researchers call this shift “science after science”: when our ability to control nature grows while our ability to understand the underlying mechanisms shrinks.

Two new examples prove the point:

• Locus, an autonomous agent, “thinks” for 64 hours straight without losing the thread and outperforms humans on AI R&D tasks.
• Kosmos processes a research space in 12 hours that would take a PhD half a year.

The age of human-led science is ending. The age of posthuman science has begun.

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Nano Banana Pro 𝗔𝗚𝗘 𝗖𝗛𝗘𝗖𝗞𝗘𝗥

Upload your photo & let the AI estimate your real age based on full facial analysis!

Prompt:

A hyper-realistic, high-resolution portrait infographic based on (your photo). Keep the same person, identity, hairstyle, clothing and natural skin tone from (your photo), with a neutral studio background.Overlay a subtle, semi-transparent facial analysis grid on the entire face, very similar to a 3D face-scanning mesh: thin, soft white lines following the facial contours, slightly glowing but not hiding the skin details. Add one clean vertical red laser line running down one side of the face, like a futuristic scan. All analysis lines must be soft, minimal and elegant, exactly like a cosmetic-tech advertisement.Create a clean medical–aesthetic infographic that evaluates 5 aging factors using global data percentages:1. Fine lines and wrinkles2. Skin texture and elasticity3. Facial volume and sagging4. Eye area aging signs5. Skin tone and pigmentationFor each factor, place a small label with a thin line pointing to the relevant facial area, and next to it write a short title and a realistic percentage score from 0–100% (based on global data), for example:“Fine lines & wrinkles – 18%”“Skin texture & elasticity – 72%”“Facial volume & sagging – 35%”“Eye area aging signs – 41%”“Skin tone & pigmentation – 63%”Use clean, modern, sans-serif typography and small technical-style text, like a scientific facial analysis UI. At the bottom of the image, in the center, write a large bold text showing the final estimated real age based on the analysis, for example:“ESTIMATED AGE: (random number based on face analysis ) ”Overall style: futuristic AI-guided skincare analysis, minimalistic, premium editorial lighting, no gender mentioned, suitable for any human face.

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There is no denial anymore.

Corporations in the U.S. have publicly cited artificial intelligence in roughly 48,000 job cuts this year alone - over 31,000 of those announced in October.

"For much of the AI boom, many companies shied away from attributing job cuts to artificial intelligence for fear of attracting negative headlines. But in recent months, large firms across industries and geographic regions have become more vocal with claims that AI is allowing them to eliminate staff and reduce hiring."

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The power of this robot dog 😳

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Fei-Fei Li says,

She disagrees with Geoffrey Hinton, warning that there's a 10 to 20% chance that AI leads to human extinction

If the human race is in trouble, that's a result of humans doing wrong things, not machines doing wrong things.

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