SunBrief#62: Meta Acquires a Startup with $2B

U.S. Busts $160M Nvidia AI Chip Smuggling to China, While DeepSeek Rewrites the Rules for Scaling AI

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Today in SunBrief 🌞

  • Create your own AI Agents Team LIVE 3Hr Masterclass👨‍🏭👩‍🏭

  • Meta Acquires AI Startup Manus for $2B to Boost AI Agent Ambitions

  • U.S. Uncovers $160M Nvidia AI Chip Smuggling Ring Bound for China

  • Stock Updates

  • DeepSeek Proposes New AI Architecture to Train Bigger Models More Efficiently

  • AI Highlights of the Week

  • Too Important to Miss

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Meta Acquires AI Startup Manus for $2B to Boost AI Agent Ambitions

Manus’ AI agent tech to be integrated into Meta’s apps; China ties severed post-acquisition

Meta has acquired Manus, a Singapore-based AI startup, for a reported $2 billion—its largest AI deal to date.

Key Points:

  • Profitable AI: Manus claims over $100 million in ARR from subscriptions — a rare feat for a young AI company.

  • Rapid Growth: Founded in 2022, Manus quickly rose to prominence after a viral demo and a $75M Series A led by Benchmark.

  • Strategic Fit: Meta plans to integrate Manus’ tech into Facebook, Instagram, and WhatsApp, while allowing it to operate independently.

  • Political Scrutiny: Manus’ Chinese roots have raised concerns in Washington. Meta says the company will cut all China ties and cease Chinese operations post-acquisition.

Why It Matters:

The deal gives Meta a revenue-generating AI product amid scrutiny of its $60B AI spend and intensifies competition in agent-based AI, where Manus claims an edge over OpenAI.

"Do you think Meta’s $2B acquisition of Manus will pay off?"

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U.S. Uncovers $160M Nvidia AI Chip Smuggling Ring Bound for China

Operation Gatekeeper exposes global network rerouting banned H100, H200 GPUs amid rising U.S.-China tech tensions

Federal prosecutors uncovered an international smuggling ring that tried to illegally ship $160 million in Nvidia H100 and H200 AI chips from the U.S. to China.

Key Points:

  • Secret Network Exposed: The smuggling ring involved fake companies, forged shipping documents, and a covert New Jersey warehouse, where Nvidia chips were relabeled as mundane goods like “adapters.”

  • Federal Sting: U.S. agents infiltrated the warehouse and intercepted the chips just before shipment. Conspirators reportedly panicked and deleted group chats once alerted to police presence.

  • National Security Concern: Authorities say the chips — crucial for AI and military applications — were diverted in defiance of U.S. export laws. China remains heavily reliant on Nvidia GPUs for training its AI models.

  • Legal Fallout: Two businessmen were arrested, and one guilty plea has been entered. Defense lawyers argue the president’s post undermines claims of national security risk.

Why It Matters:

The case highlights the geopolitical stakes of Nvidia’s chips and a growing black market, as demand in China stays high despite strict and shifting U.S. export controls.

"Do you think U.S. export controls on advanced AI chips are effective?"

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Stock Updates

DeepSeek Proposes New AI Architecture to Train Bigger Models More Efficiently

China’s AI darling kicks off 2026 with “mHC” paper, signaling push for cost-effective scaling ahead of next model release

DeepSeek introduced mHC, a new architecture aimed at making large AI models more scalable and efficient.

Key Points:

  • Architecture Shift: The paper, co-authored by DeepSeek CEO Liang Wenfeng, refines ByteDance’s 2024 “Hyper-Connection” tweak to ResNet, addressing its rising memory costs and scalability limits.

  • Efficient Scaling: Tested on models with 3B, 9B, and 27B parameters, mHC showed superior scalability with negligible computational overhead, according to DeepSeek researchers.

  • ResNet Reimagined: mHC builds on the popular ResNet architecture — used in models like GPT and AlphaFold — by introducing manifold constraints to maintain learning signals in very deep networks.

  • Strategic Timing: The release may hint at DeepSeek’s next major model launch, with speculation pointing to a debut ahead of China’s Spring Festival in mid-February.

Why It Matters:

As U.S. rivals dominate compute, DeepSeek’s efficiency-focused approach could help it stay competitive and build next-gen models for China’s AI ecosystem.

"Do you think future AI breakthroughs will come more from architecture than raw compute?"

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AI Highlights of the Week

  • India Startup Funding Hits $11B in 2025

    India’s startup ecosystem raised $11 billion in 2025, even as total deal count fell 39%, signaling more selective investor behavior.

    AI funding grew just 4% to $643 million, with capital favoring early-stage, application-led startups over large model bets.

  • SoftBank Completes $40 Billion Investment in OpenAI

    SoftBank has completed its $40 billion investment in OpenAI, valuing the company at $260 billion pre-money and securing an ~11% stake.

    The funding will support AI infrastructure expansion, including OpenAI’s Stargate data center project with Oracle.

  • Researchers Build Neuromorphic Artificial Skin for Rob

    Researchers created neuromorphic artificial skin that uses neural-style spikes to transmit touch data, mimicking human sensation.

    The approach could pair with energy-efficient spiking AI hardware for smarter robotic control.

  • Qwen Releases Image-2512 With Major Realism Upgrades

    Qwen has released Qwen-Image-2512, an open-source image model with stronger human realism, finer natural detail, and improved text rendering.

    The update topped 10,000+ blind evaluations and remains competitive with closed-source models

Too Important to Miss

Last Week’s Poll Result

  • Should streaming platforms tighten access even if it affects user experience?

    Yes, security should come first → 38.46%

    Maybe, but balance is important → 26.92%

    No, convenience matters more → 34.62%

  • Do you think integrating AI like Grok into military operations is a good idea?

    No, military decisions should remain human-led → 40.91%
    Maybe, but only for non-combat functions → 36.36%
    Yes, it improves speed and decision-making → 22.73%

  • Do you think AI companies should be allowed to train models on copyrighted books without permission?

    No, permission should be required → 78.95%
    Maybe, but creators should be compensated → 15.79%
    Yes, it falls under fair use → 5.26%

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