
Dear Readers,
Some weeks, AI feels like a series of quiet revolutions — invisible until they reshape everything. This week is one of those. From NVIDIA’s Cosmos 2.5 turning single frames into full simulated worlds to Google tracking malware that rewrites itself using LLMs, the frontier is shifting from “AI as a tool” to “AI as an actor.” The line between creation and autonomy keeps blurring, and you can almost feel the pulse quicken across labs, datacenters, and markets.
In today’s issue, we explore that tension: how simulation is becoming the new manufacturing, how OpenAI’s trillion-dollar infrastructure ambitions are reshaping finance, and how 180 million job postings reveal a hollowing out of the middle class. Plus, we track China’s chip diplomacy, a new phase of AI-powered cybercrime, and the sharpest tech layoffs in 22 years. It’s a snapshot of the system rewiring itself, and what happens when intelligence becomes the world’s newest form of capital.
In Today’s Issue:
🌌 NVIDIA's Cosmos 2.5 supercharges AI simulation
💰 AI agents and stablecoins lead Q3 2025 fintech funding
🚫 OpenAI clarifies it's not seeking government backstops
📉 AI is hollowing out middle-tier jobs
✨ And more AI goodness…
All the best,




China poised to lift ban on chip exports to European carmakers after U.S. deal
China is set to lift its ban on chip exports to European carmakers after a deal with the U.S. postponed new sanctions against Chinese firm Wingtech. The move eases supply chain tensions for European automakers and signals a thaw in U.S.–China tech relations.

Great, now even malware is using LLMs to rewrite its code, says Google
Google’s Threat Analysis Group has uncovered a new wave of cyberattacks using large language models like Gemini to dynamically rewrite and disguise malicious code. AI-assisted malware families such as PROMPTFLUX and PROMPTSTEAL can modify their structure in real time, bypass security filters, and even generate new commands through live LLM queries. Google calls this the start of an “operational phase of AI abuse,” marking a shift from AI as a helper to AI as an active player in cybercrime.

October Layoffs Were the Worst in 22 Years and Hit Tech Workers Hard
The AI revolution has only just begun, and it’s already affecting workers significantly.
October 2025 saw the worst U.S. layoffs since 2003, with over 153,000 jobs cut — a 175% increase from the previous year. The tech industry was hit hardest, slashing more than 33,000 positions as companies adjusted to AI-driven restructuring and cooling demand. Analysts say the wave reflects deeper economic anxiety and over-hiring during the pandemic boom.


Cosmos 2.5 Supercharges Simulation
The Takeaway
👉 Cosmos Predict 2.5 creates long, continuous world simulations from a single frame.
👉 Cosmos Transfer 2.5 compresses and enhances 3D-to-video realism for faster iteration.
👉 Cosmos Reason introduces reasoning-aware multimodal perception for embodied AI.
👉 Cosmos Dataset Search slashes training time by turning months of scenario curation into days.
What if you could spin a 30-second, multi-view world from a single frame — and then edit it like a film set?
NVIDIA’s latest Cosmos updates do exactly that. Cosmos Predict 2.5 unifies text-, image-, and video-to-world generation into one model and stretches horizons to ~30 seconds, while Cosmos Transfer 2.5 turns rough 3D scenes into photorealistic, spatially controlled footage at roughly a third of the previous model’s size.

Cosmos Reason, a 7B vision-language model, now ships as a NIM microservice, so teams can deploy reasoning-aware perception without wrestling with bespoke infrastructure. Cosmos Dataset Search accelerates scenario retrieval across massive corpora, collapsing post-training iteration from months to days.

Why it matters: Simulation is becoming the cheapest way to manufacture edge cases for robots, autonomous vehicles, and video AI agents. With the Cosmos Cookbook and a new white paper, the path from “idea → synthetic data → trained policy” is becoming shorter — and far more controllable.
Sources:


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FLORA: The Creative OS That Scales Imagination Without Losing Control

As an Editor-in-chief working with agencies and makers, I rarely see a tool that upgrades the creative process, not just the output. FLORA does. Its infinite, node-based canvas lets you explore directions in parallel, preserve the creative lineage of an idea, and scale a single concept into hundreds of production-grade assets across text, image, and video. The multi-model hub (50+ engines) removes tab-hopping and licensing friction, while collaborative workspaces, permissions, and shared folders make it feel built for real teams, not hobby play. If you care about creative control and consistency at scale, FLORA is the rare platform that treats interface and workflow as first-class citizens, and it shows in the work.



AI-agents, stablecoins shine in Q3 2025 fintech funding
Fintech funding reached about US$28.74 billion in 2025 (already exceeding 2024’s full-year total). Q3 saw AI-agent and stablecoin startups leading the charge. This signals a structural shift: capital is flowing not just into incremental fintech, but into AI-driven platforms and digital-asset-adjacent business models.

OpenAI says it isn’t seeking a government backstop for its infrastructure build-out
OpenAI CEO Sam Altman clarified that while the company is building massive infrastructure (~US$1.4 trillion in commitments over the next eight years), it is not seeking government guarantees for its data-center investments. This comment follows remarks by CFO Sarah Friar, who had suggested the government might play a backstop role.

AI Is Hollowing Out the Middle — 180 Million Jobs Reveal a New Labor Divide
Using nearly 180 million global job postings (Jan 2023–Oct 2025), Bloomberry finds that overall job postings fell ~8% in 2025 vs. 2024, but the AI impact is highly selective. Execution-level creative roles (e.g., 3D artists −33%, writers −28%) and corporate compliance/sustainability roles (~ −28%) dropped sharply, likely due to AI automation and regulatory pullback. Meanwhile, postings for machine learning engineers jumped ~40%, and senior leadership roles declined only ~1.7%.


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