🗣Former Google CEO Eric Schmidt drops a chilling warning on AI's future

"Within 5 years, AI could handle infinite context, chain-of-thought reasoning for 1000-step solutions, and millions of agents working together. Eventually, they'll develop their own language... and we won't understand what they're doing."

His final words: "Pull the plug."

This is the man who ran Google talking about the singularity.

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Gemini can now produce fully interactive images on any topic.

Such an insane resource for learning, highlight any region, and it gives you a full explanation.

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🗣Bernie Sanders: "We need to stop AI progress and datacenters. The tech billionaries are getting too rich."

Also Bernie Sanders: "I have a summer home. It's a nice one. But that's it. I got the money from writing a bestselling book about Capitalism." The politicians don't care about you.

They will act as if they do, but deep down, they all want to make sure they secure their wealth. Then they will point to the Elon's of the world (that have actually created wealth for other people) as the ones to demonize while they monetize that demonization by selling books and building their brand.

It's all a game. Taking them seriously makes you the loser in the game, especially the ones who are trying to convince you that they don't want to win (i.e get rich) the game.

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Meta just bought Manus for >$1B and it makes sense. 8 Consumer AI apps hit $100M+ arr that aren’t big labs:

Perplexity: $20B
ElevenLabs: $6.6B
Lovable: $6.6B
Replit: $3B+
Suno: $2.5B
Gamma: $2.1B
Character: $1B+
Manus: $500M

Meta AI has no product. This was the cheapest, and most aligned.

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Cat fishing AI technology.. we’re cooked.

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Robots are precise enough to perform surgery on an egg.

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🇨🇳 China’s biggest tech firms are boosting 2025 bonuses and pay to stop AI talent from leaving.

ByteDance says its 2025 bonus pool is up 35% year over year, and its budget for compensation adjustments is up 150%, while also widening pay floors and ceilings across levels. Under the hood, this is firms paying for scarce people who can build and run LLM training and inference systems, since small teams can bottleneck whole product lines.

Tencent has been recruiting AI staff aggressively, including offers reported as up to 2x existing salaries, and it elevated ex-OpenAI researcher Yao Shunyu to chief AI scientist. Tencent’s reorg also set up AI Infra and data computing teams that focus on distributed training, serving models at scale, and big data plus machine learning pipelines.

Demand looks steep, with Maimai’s index for new AI roles up 543% year over year from January to October 2025. (Maimai is a Chinese professional networking and recruitment platform, so this index is measuring platform job-posting volume)

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Amazon AWS announced plans to build purpose-built AI and high-performance computing for the U.S. government for the first time.

The company committed up to $50B to expand its AI and supercomputing capabilities.

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xAI is reportedly building a third mega data center outside Memphis signaling a shift toward owning its AI stack.

No matter how the racks get built, NVIDIA remains the center of gravity.

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What happens if you invite your non-robotics-research friend to “fight” your robots

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China is already training robots to direct traffic.

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How to post 300 AI videos per day on tiktok shop without being banned:

• Use separate phones

• Post 3x per day on each phone

• Manage them all in one office

• 100+ phones promoting a product

• Ai making the content

• Ai making the strategy

• $$$ sales coming in

The future is here

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🍅 Claude is growing a tomato

An unusual experiment: Claude has been running a fully autonomous tomato grow for 37 days inside a controlled biodome.

What Claude can see
• Temperature
• Air & soil humidity
• Atmospheric pressure
• CO₂ levels
• Leaf temperature

What Claude can control
• Lighting
• Soil heating (heating mat)
• Ventilation
• Water supply

Everything is logged in real time. You can watch the plant’s progress and read the experiment log here: https://autoncorp.com/biodome/

Autonomous greenhouses aren’t a concept anymore, they’re quietly becoming operational.

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🔥 Stop watching 2-hour YouTube tutorials.

Grok now turns any video into a step-by-step skill plan. Here are 8 prompts that convert videos into mastery:

1. Comprehensive Overview
Prompt:

“I’ve shared a YouTube video. Give me a high-level overview of everything being taught, broken into the main skills, concepts, and phases, as if you’re introducing it to someone seeing it for the first time.”

2. Skill Tree Extraction
Prompt:

“From this video, identify the complete skill tree required to master the topic. Organize it from foundational skills to advanced execution.”

3. Actionable Learning Plan
Prompt:

“Turn this video into a structured learning plan with clear practice steps. Assume I want to go from zero to competent as efficiently as possible.”

4. Core Concepts & Mental Models
Prompt:

“Extract the core concepts and mental models explained in this video. Explain each one simply and show how it’s used in practice.”

5. Practical Application Focus
Prompt:

“Based on this video, list the specific actions I should take to apply what’s being taught in real-world scenarios. Avoid theory and focus on execution.”

6. Knowledge Check & Evaluation
Prompt:

“Create questions or exercises based on this video that test whether someone truly understands the material, not just remembers it.”

7. Workflow & Process Mapping
Prompt:

“Extract any workflows, processes, or step-by-step methods mentioned in this video and reorganize them into the most logical execution order.”

8. Common Mistakes & Pitfalls
Prompt:

“Identify common mistakes beginners make when following the advice in this video and explain how to avoid each one.”

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Some really massive numbers achieved by xAI in 2025.

- 450k+ current GPUs across sites, with construction underway to double that by Q2 2026.
- 244,000+ miles of fiber went in
- 15+ miles of cooling-water piping was installed.

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Drones that autonomously clean solar panels are an outstanding idea. Energy is already scarce, the biggest bottleneck of the future. Increasingly (especially in China), drones are being used for real-world applications. No show, just genuine work! Brilliant!

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Biggest winner of 2025 overall: Google

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Do you think low-effort content has a chance?

There is a YouTube channel built entirely on AI content pulling in $4.25M a year.

Bandar Apna Dost: Indian AI trash about a monkey (and whatever else sticks). It’s annoying. It’s primitive. And it sells.

People watch it. Advertisers pay.
Money doesn’t have taste, especially AI money. So yes, creators of neural memes are absolutely on the right track.

Waiting for people to “get tired of AI content” is like waiting for McDonald’s or KFC to shut down.

Cheap, repetitive, addictive content has always worked, AI just made it scalable.

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