🔥 Chinese AI agents are running 50+ social media accounts on autopilot. 24/7.

They’re producing content at a scale you physically cannot match yourself. This is your competition now.

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🚨 Trump prepares to launch “Truth AI”

President of the United States, Donald Trump, is planning to unveil a new AI platform called Truth AI.

The launch pulls AI directly into U.S. politics and campaign messaging. It Could influence public opinion, tech regulation debates, and how future political actors use AI.

Will “Truth AI” become a political amplifier or a new source of information risk?

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The sentiment against OpenAI is growing daily:

"I think that right now they're beginning to overtake it," Hinton said of Google's position relative to OpenAI.I think it's actually more surprising than it's taken this long for Google to overtake OpenAI," Geoffrey Hinton, a professor emeritus at the University of Toronto who previously worked at Google Brain, told Business Insider in a Tuesday interview."

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❗️ Anthropic laser focused on one domain

Anthropic’s CEO Dario Amodei says he isn’t reacting to Google or OpenAI’s “code reds” because Anthropic is built for enterprise stability, not consumer hype cycles.

With a strong lead in coding automation, rising revenue projections, and sticky enterprise integrations, Amodei argues the company can keep scaling even if AGI arrives, because businesses value specialization, reliability, and deep vendor lock-in.

He also warns (again) that AI will eliminate many entry-level white-collar jobs, pushing companies and governments to retrain workers and redesign economic policy for an AI-powered society.

Source.

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Google cooked so hard. This feels like the future is here.

Now develop Google Glasses with enough battery power, a good chip, and a look like Ray-Bans, and you'll have an instant hit 100%.

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📢 China has rolled out AI-driven police patrol vehicles that operate nonstop, using facial recognition, 360° cameras, and onboard sensors to spot watchlisted individuals, fraudulent plates, and various traffic or safety violations.

The move marks another major step toward fully automated urban policing.

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Demis Hassabis: AGI is on the horizon, it is within our grasp; our societies must prepare for this unprecedented change!

If Demis is speaking so clearly about AGI, then it really is in the immediate vicinity.

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More raw footage of the robot people thought was CGI is coming out. Here you have people looking like they are running for their lives.

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📢 GPT-5.2 next week! (Dec 9th)

It should be at least as good as Gemini 3.0 (pro)

" Sources say that the 5.2 update should close the gap that Google created with the release of Gemini 3 last month, a model that topped leaderboards and wowed Sam Altman and xAI CEO Elon Musk."

The pressure on OpenAI is so high that they have to bring forward the release.

Source.

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At the 2025 Greater Bay Area New Economy Forum, Midea Group's CTO Wei Chang officially unveiled "MIRO U," a super humanoid robot that looks absolutely wild.

Billed as the industry's first six-armed, wheeled-legged humanoid, it's designed to "break through human physiological limits." It starts factory operations this month.

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📈 GPT-5 is falling more and more behind.

It is being overtaken by Claude, Gemini, and even Grok in certain domains. Yes, GPT-5 Pro is certainly an outstanding research model for novel scientific ideas and tasks.

But for the broad user base, the other models are surpassing it.

Source.

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⚡️ Googles "Titans" is absolutely nuts.

Titans is Google's new architecture type that gives language models something like a real long-term memory, while the model is running.

How? A deep neural network (MLP) acts as a "long-term memory" that is continuously updated while the model reads text. The model learns during the inference run itself what to retain ("test-time memorization"), instead of having everything fixed into the weights beforehand. With ~10 million tokens, it still maintains around 70% accuracy. Insane

Google is nailing it.

Source.

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When someone said it was CGI, EngineAI CEO Zhao Tongyang took a kick from the T800 head-on.

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⚡ Jensen Huang: The AI race is shifting from chips to concrete, power, and speed

Nvidia’s Jensen Huang says the new battleground isn’t model quality, it’s who can build and power hyperscale AI data centers the fastest. A top-end US AI facility takes 3 years from ground-breaking to supercomputer-ready, while China can erect massive structures in weeks and scale energy far faster.

Speed vs. Scale
• Huang notes China’s ability to stand up large buildings even hospitals in days, giving it a construction-speed edge.
• AI capacity is now limited by permitting, land, steel, grid hookups not algorithms.
• Countries with faster infrastructure cycles will dominate the next wave of AI buildout.

The power gap
• China has roughly 2× the total energy capacity of the US, despite a smaller economy.
• That means it can feed power-hungry AI clusters more easily, while US grid growth remains almost flat.
• Power, not compute, is becoming the bottleneck.

Chips vs. manufacturing strength
• Nvidia is still “multiple generations ahead” in AI chips.
• But Huang warns not to underestimate China’s deep manufacturing base, it can scale chip and system production faster than many expect.

The next phase of AI leadership may be won not by the best model but by the fastest builders of energy and infrastructure.

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🍏Apple’s biggest leadership reset since Steve Jobs and the blueprint for its post-2026 era

Apple is undergoing a rare top-tier shake-up: more than half a dozen senior executives are exiting, from COO Jeff Williams to CFO Luca Maestri, AI chief John Giannandrea, policy head Lisa Jackson, and legal chief Kate Adams. Bloomberg’s visualization shows a clear thinning of the “old guard” around Tim Cook and a deliberate rebuild.

The old team is rotating out
• Key operators (Williams, Maestri) and long-time policy/legal leads are retiring or leaving.
• Meta has poached multiple design + AI leaders, pulling ~100 engineers from Apple’s AI foundation models team.
• Net effect: Apple’s internal AI bench and institutional memory are weaker than a year ago.

A new leadership stack is forming
• John Ternus is emerging as the likely CEO successor, a shift toward hardware and product engineering instead of operational management.
• Amar Subramanya (ex-Google AI) is brought in to accelerate Apple’s sluggish AI roadmap, signaling a move toward execution-focused leadership rather than research-first.
• Stephen Lemay takes over interface design, a high-credibility builder who’s shipped nearly every major Apple UI since the first iPhone.
• Jennifer Newstead will run both legal and government affairs, centralizing Apple’s response to antitrust and global regulation.

The strategic direction
• This isn’t random churn, it’s a controlled transition toward a 2026-ready Apple built around:
• AI acceleration
• hardware + device engineering
• regulatory survival and global policy alignment

Apple is quietly replacing the iPhone-era leadership machine with a structure built for AI, geopolitics, and the next generation of devices.

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📊 ChatGPT has about 800 million monthly users, yet mobile use and paid plans have stalled while Gemini near 650 million users rides on default placement in Google search, Android, and work tools.

Multiple benchmarks for knowledge, math, and coding now put Gemini slightly ahead of OpenAI’s best models, so buyers no longer treat OpenAI as the automatic performance leader.

OpenAI reports about $13 billion 2025 revenue yet analysts project losses that could reach $140 billion by 2029, while Google and Microsoft make around $30 billion profit each quarter that can fund cheaper integrated features.

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The AI Race is changing.

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