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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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Meta becomes first big tech buyer of Google TPUs for Its own data centers

Meta is set to purchase Google’s TPUs — and not as cloud rentals, but as physical hardware installed directly into Meta’s data centers starting in 2027. This makes Meta the first major company to adopt Google’s chips at the infrastructure level.

Earlier this year, Google signed major TPU cloud deals with Anthropic and Ilya Sutskever’s SSI, and there were even reports that OpenAI considered shifting fully to TPUs. But those were cloud-based agreements. Meta’s move is different: it’s ownership, not tenancy.

For Google, the deal represents more than revenue. It’s a public validation of their long-term hardware strategy — and a signal that TPU adoption could finally scale beyond Google’s own stack. Analysts inside the company believe Google could eventually capture up to 10% of Nvidia’s revenue if this momentum holds.

A rare moment where Google’s hardware ambitions look not just real, but competitive.

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Using 100,000 real Claude conversations, Anthropic estimates that tasks which would normally take humans around 90 minutes and cost roughly $55 in labor are completed about 80% faster with Claude, with most time savings falling in the 50–95% range.

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Nvidia responds to news of Meta using Google's TPUs, sending $NVDA stock -6% lower:

"We're delighted by Google's success — they've made great advances in Al and we continue to supply to Google.

NVIDIA is a generation ahead of the industry — it's the only platform that runs every Al model and does it everywhere computing is done. NVIDIA offers greater performance, versatility, and fungibility than ASICs, which are designed for specific Al frameworks or functions."

The AI wars are heating up.

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ChatGPT Voice now works directly in the chat window

You can now use ChatGPT Voice without switching modes just start talking. Answers appear as you speak, and you can scroll, review past messages, and see visuals like images or maps in real time.

• Works across mobile and web
• No separate interface or voice-only mode
• Rolling out to all users — just update the app

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Gemini 3 Pro achieved an IQ score of 130 (this corresponds to the top ~2.1% of the human population).

By the and of next year we will likely reach 150-180IQ and in 2027 we will have AI more intelligent than John von Neumann. Before 2030 we will have millions of Johns von Neumanns level AI agents/scientists working together 24/7. Even 10 Johns von Neumanns would change the world. Now think about having million times more.

Ignore the distractions, the constant fixation on race, tribalism, and other forms of superficial conflict we see here. The future is being built by those who rise above that noise and focus on engineering, science, and progress.

100 000 000+ John von Neumann AI's in 2027.

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U.S. Department of Energy releases promotional video for Trump's AI project, Genesis Mission: "A new revolution begins."

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Ilya: How do we achieve long-run equilibrium with AI? One solution: humans become part AI.

It's not ideal, but it bridges the understanding gap - we experience the AI's situation as our own. He refers to Neuralink.

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Engineers designed a 3D printer to print in gel, making mid-air printing possible.

3D printers are so underrated.

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xAI is not listed on the list of collaborators for the US Government's Genesis Mission

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Jenseng Huang on how students can use AI to advance their careers.

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⚠️ OpenAI has been hacked. If you have used their API services, hackers may now possess your name, location, user ID, and other information.

Source.

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🇨🇳 In China, parents are turning AI into a real-time study supervisor.

They open ByteDance’s Doubao, point the camera at their child, and issue a simple command: “Doubao, keep an eye on him. Warn him if he loses focus or slouches.”

From there, the assistant takes over offering a steady stream of corrections:

“Stop fiddling with the pen.”
“Focus on the assignment.”
“Sit up straight.”
“Don’t doze off.”
“Don’t lean on your hand.”
“Quit chewing the pen.”

It’s AI as a digital study hall monitor.

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At Iran’s robotics and high-tech expo, humanoid robots were on display or rather, humans dressed so convincingly as robots that visitors had to look twice. 👀

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This looks impressive. But whats the use-case other than proving that, well, it can get up fast and run?

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Finally a real use-case for humanoid robotics. This robot is already used for cleaning toilets in china.

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⚡️ DeepSeek drops Math-V2 and it’s a monster

No hype, no teasers, DeepSeek just pushed out Math-V2 almost two years after the original. No one was waiting for it… and yet it quietly arrived with absurd numbers.

Performance snapshot:
• Gold-medal strength on IMO 2025 and China’s CMO 2024.
• 118/120 on Putnam 2024 , a famously brutal university-level contest.
• Sparse benchmarks (no MATH, GSM8K, AIME), but IMO-ProofBench shows it outscoring GPT-5 and matching Gemini 2.5 Pro on hard proofs. Now everyone’s watching what Gemini 3, Grok 4, and GPT-5.1 will do next.

What’s inside the system:
• Built on DeepSeek-V3.2-Exp-Base.
• Architecture = Generator + Verifier loop.
• Solutions are not produced in one pass. Instead:
1. Generator drafts a proof.
2. Verifier inspects every step, flags errors.
3. Generator rewrites and improves.
4. Repeat, up to 16 refinement rounds.

Massive test-time compute:
• Each iteration evaluates up to 64 parallel hypotheses.
• A single problem can trigger hundreds of runs.
•Essentially: structured, targeted scaling instead of brute-force scaling.

A quiet release but a very loud signal that proof-centric AI is accelerating faster than expected.

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Elon Musk's actual thinking framework was used as AI prompts.

It's the closest thing to having a billionaire engineer rip apart your ideas and rebuild them from physics. Here are the 15 prompts that changed how I solve problems:

1. "What are the physics of this problem?"
Musk strips everything to objective reality. "I'm struggling to grow my newsletter. What are the physics of this problem?". AI reveals the hard constraints, the real forces, and the non-negotiable bottlenecks.

2. "If I couldn’t rely on existing assumptions, how would I solve this?"
Assumptions are invisible cages. "My pricing model is based on what competitors do. If I removed all assumptions, how would I solve this?". AI breaks the mental autopilot.

3. "What are the problem’s fundamental components?"
Musk breaks problems into atoms. "My business is plateauing. What are the fundamental components of this problem?". AI decomposes your challenge into parts that can actually be solved.

4. "What would the optimal solution look like if cost didn’t exist?"
Constraints ruin creativity too early. "I need to redesign onboarding. What would the optimal solution look like if cost didn’t exist?". AI generates the ideal version first, then works backward.

5. "If I were forced to cut 90 percent of this, what would remain?"
Brutal prioritization. "My product roadmap has 50 items. If I had to cut 90 percent, what remains?". AI forces clarity through elimination.

6. "If this failed completely, what would be the root cause?"
Musk starts with failure to engineer success. "I'm launching a new product. If it failed, what would be the root cause?". AI predicts the exact failure modes in advance.

7. "What would a solution look like if I ignored industry norms?"
Musk bypasses entire industries by refusing to copy them. "I'm starting a consulting business. What would a solution look like if I ignored industry norms?" AI gives you the non obvious path.

Next part: ⤵️⤵️