The AI Hunger Games Have Begun

PLUS: Zuck’s $300 M hires, Grammarly's Superhuman Acquisition, and Cisco AI Interview

Welcome to Lore Brief, your weekly edge in the age of AI.

This issue is brought to you by Factory, an engineer in every tab.

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One-Minute Brief

  • Sakana AI | Multi-Model Fusion – New AB-MCTS algorithm by Japanese AI lab lets ChatGPT, Gemini 2.5, and DeepSeek “think together,” cracking 30 % of ARC-AGI-2 puzzles vs 23 % for the best solo LLM. Signals an ensemble future for frontier AI.

  • OpenAI | $30 B Oracle Cloud Pact – Multi-year deal secures massive GPU capacity for GPT-6 and enterprise hosting; Oracle books revenue from 2028.

  • xAI | $10 B War Chest – Musk raises $5 B equity + $5 B debt, chasing an $80 B valuation to scale Grok and custom silicon.

The AI Hunger Games Have Begun

Meta rewrites the talent market

  • New division: Meta Superintelligence Labs (MSL). Zuckerberg’s bet on artificial super-intelligence.

  • $14.3 B swing deal: Meta bought a 49 % stake in Scale AI, bringing founder Alexandr Wang in to run MSL.

  • Superstar hires:
    • (Confirmed) Nat Friedman — ex-GitHub CEO, co-founder of Safe Superintelligence (SSI) with OpenAI’s Ilya Sutskever.
    • (Anticipated) Daniel Gross — SSI co-founder and (until this week) its CEO.

  • The price of admission: Meta is rumored to be paying $100M packages to top AI researchers, with Zucerkberg personally cold-DMing hundreds of frontier researchers on WhatsApp.

Grammarly goes after the operating-system layer

  • Deal: Acquired email darling Superhuman (last valued $825 M).

  • Strategic goal: Plug Superhuman into Grammarly’s 40 M daily users and 500 k-app footprint, turning the inbox into an always-on “AI productivity OS.”

Why it matters

  1. From AGI to superintelligence. Frontier labs treat AGI as done; the new finish line is beyond-human capability. Zuckerberg's internal memo: "Developing superintelligence is now in sight."

  2. Talent > tech. Meta's 49% Scale deal shows a cheaper template than buying a frontier model outright—expect more "equity + GPU + cash" swaps.

  3. New operating systems. Email (Grammarly), browsers, and code editors are being rebuilt around agents. Any UI layer you monetize today can be abstracted away tomorrow.

  4. Board-level risk. Vinod Khosla: 80% of Fortune 500 jobs could be automated by 2030, largest turnover since the Industrial Revolution.

By the numbers

  • $100M+ Meta's typical four-year package for tier-1 researchers

  • 40M daily Grammarly users; >$700M ARR pre-Superhuman

  • #2 Grammarly's rank on G2's 2025 AI software list, behind ChatGPT

Executive takeaway

  • Compensation is going up for A players. Eight-figure comp is no longer outlier. In the Age of AI, compensation for top talent is increasing significantly.

  • Play offense or perish. Record-size acquisitions show the board game is being reset in real time; launching AI-native products (even if they cannibalize legacy revenue) is the only way incumbents avoid becoming footnotes.

  • This dwarfs the internet boom. Think of every opportunity you missed in 2000; the upside (and the disruption) arriving this decade is bigger by orders of magnitude.

"In a world that's changing so quickly, the biggest risk you can take is not taking any risk." — Mark Zuckerberg (quoting Peter Thiel in 2016 interview with Sam Altman)

The Next Wave: What's Actually Coming in AI (From Someone Building It)

Cisco's AI leader reveals how enterprise AI transformation will reshape networking, security, and business operations. → Watch | Listen

Things I’m Learning From

  • [Link] – Factory CEO on the Future of Software, Humans vs Agents, SaaS, and more!

  • [Link] – Cursor + Claude Code + MCP beat n8n—traffic up, stress down

  • [Link] – 27 FREE Things You Can Do With Gemini

That’s it for today.

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-Nathan Lands
ConnectX | LinkedIn
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(Disclosure: I may own equity in companies mentioned in Lore Brief.)