OpenAI Profitability Debate; Orchestration v Scaling; Fuzzy Robots Sell Out

OpenAI Profitability Debate; Orchestration v Scaling; Fuzzy Robots Sell Out

Today's AI forecast: 🌥️

DeepSeek Math V2 Breaks the Frontier Monopoly

DeepSeek released DeepSeek-Math-V2, an open-source MoE model that just hit gold-medal performance on IMO 2025, solved 5 of 6 problems, and scored 118/120 on the 2024 Putnam, beating top humans. It also crushed GPT-5 on IMO ProofBench and nearly matched Google’s proprietary Gemini Deep Think.

The secret is a generator-verifier system: one model proposes a proof, the other critiques every step with confidence scores, forcing refinement.

Why it matters

This is research-grade mathematical reasoning, open to the public. It widens access to verifiable, self-debugging logic - exactly what’s needed in engineering, safety-critical systems, and agentic workflows.

The Deets

  • 61.9% on IMO ProofBench
  • Generator receives step-by-step critique, not just output scoring
  • Promotes disciplined reasoning over “lucky final answers”

Key takeaway

Open-source models can now reason at the elite level—and teach themselves how to think.

đź§© Jargon Buster: Generator-Verifier Loop - A system where one model proposes reasoning and a second checks each step for correctness.

More: The Rundown AI


⚔️ Power Plays

OpenAI vs HSBC: The $207B Profitability Showdown

Sam Altman is telling investors OpenAI will turn cash-flow positive by 2029. HSBC says: absolutely not. Their projection shows a $207B shortfall by 2030, calling OpenAI “a money pit with a website on top.”

Why it matters

This is a clash of worldviews.

  • Altman: more GPUs create exponential demand.
  • HSBC: compute bills scale linearly and debt markets have limits.

The Deets

  • Altman frames compute as an acceleration engine
  • HSBC treats it like a utility meter
  • Both use similar growth inputs with wildly different outcomes

Key takeaway

Altman is betting on curves. HSBC is betting on math.

đź§© Jargon Buster: Amortization - Spreading major costs (like GPU clusters) over time instead of paying them all upfront.

More: AI Secret


China’s AI Giants Train Abroad To Reach the Markets They Can’t Enter

Alibaba and ByteDance are training their frontier models in Southeast Asian data centers to access Nvidia GPUs and get closer to the U.S. market without entering it.

Why it matters

This is globalization disguised as evasion—aligning with Western infrastructure to better target Western enterprise buyers.

Key takeaway

If you can’t cross the border, build your model right next to it.

đź§© Jargon Buster: Export Curbs - Restrictions preventing countries (like China) from acquiring certain chips.

More: AI Secret


🛠️ Tools & Products

Nano Banana Pro Turns One Photo Into a Full Instagram Feed

Nano Banana Pro can generate a 9-image, aesthetic-consistent Instagram grid from one inspiration photo and a product image - Rundown University shows how.

Why it matters

Brands don’t need photographers for every angle or environment - they need one good reference and a model that knows vibes.

The Deets

  • Upload inspiration + product
  • Use Pro mode in Gemini
  • Ask for a 9-image feed with varied settings
  • Regenerate or isolate shots as needed

Key takeaway

It’s now possible to batch-produce “studio-quality” feeds from your couch.

đź§© Jargon Buster: Aesthetic Alignment - How closely a generated image sticks to a desired visual style.

More: The Rundown AI


🧬 Research & Models

NVIDIA Says the Future Is Orchestration, Not Scaling

NVIDIA partnered with HKU to release ToolOrchestra, training small models to decide when to think and when to call external tools.

Why it matters

An 8B model using orchestration outperformed GPT-5 and Claude Opus 4.1 on Humanity’s Last Exam while being faster and 2.5x more efficient.

The Deets

  • Orchestrator chooses between internal reasoning and external tools
  • Handles unseen tools surprisingly well
  • Avoids the costly “always call the biggest model” anti-pattern

Key takeaway

The winning model might be small - but very good at delegating.

đź§© Jargon Buster: Orchestrator - A model that decides which tool or model should handle each step of a task.

More: The Rundown AI


xAI’s Grok 5 Pushes Toward Autonomous Pixel-Level AI

xAI unveiled a system that reads raw video of a computer interface, not APIs, and still operates within 150ms - clicking, typing and navigating like a human.

Why it matters

This could generalize across every computer interface without custom integrations, effectively turning Grok into a universal operator.

Key takeaway

API-free agents aren’t science fiction anymore—they’re screen-watching interns with superhuman reaction times.

đź§© Jargon Buster: Pixel-Driven AI - Models that understand and act directly from visual input instead of APIs.

More: AI Breakfast


Karpathy’s LLM Council: The Multi-Model Debate Era Begins

Andrej Karpathy, former Tesla AI and OpenAI leader, released LLM Council, a lightweight orchestration layer where multiple frontier models debate and synthesize answers under a “Chairman.”

Why it matters

Models are becoming modular and swappable; the moat is shifting to orchestration, governance and observability.

Key takeaway

The future of AI might look less like “one model to rule them all” and more like a panel of experts arguing toward the truth.

đź§© Jargon Buster: Governance Layer - Systems ensuring agents behave safely, consistently, and audibly across decisions.

More: AI Breakfast


🤖 Robotics

Huawei Teams With Fuzozo After 50,000 Emotional Robots Sell Out

Startup Fuzozo sold 50,000+ Fuzai emotional companion robots in 3 months. Huawei immediately partnered to launch the nearly identical “Smart Hanhan,” blending Huawei’s Xiaoyi model with Fuzozo’s emotional engine.

Why it matters

Huawei gets human emotion data at scale. Fuzozo gets manufacturing muscle.

Key takeaway

Fuzozo sold feelings; Huawei bought the data rights.

đź§© Jargon Buster: Emotional Robotics - Robots designed to respond to and simulate human emotional cues.

More: Robotics Herald


Infineon & HTEC Give Robots a Reflex-Driven 360° AI Head

A new humanoid “Awareness Head” uses radar, depth sensors and microphones to decide what to pay attention to - not just record it.

Why it matters

It shifts intelligence into the head itself, creating real-time spatial intuition that cuts latency and makes robots more autonomous.

Key takeaway

Robots finally have a head that reacts first and explains later.

đź§© Jargon Buster: Sensor Fusion - Combining multiple sensor inputs to create a unified understanding of the environment.

More: Robotics Herald


CMU Teaches Robot Dogs To Feel Weight Shifts

A Unitree Go1 was outfitted with LocoTouch, enabling it to feel object movement on its back and adjust balance—carrying a rolling cylinder 60 meters across uneven terrain.

Why it matters

This is the proprioception layer that turns robot dogs from gimmicks into real field workers.

Key takeaway

Once a robot feels weight shift, it becomes a coworker, not a gadget.

🧩 Jargon Buster: Proprioception - a system’s awareness of its own body position, movement, and balance.

More: Robotics Herald


⚡ Quick Hits

  • Perplexity launches AI virtual try-on for shopping
  • DeepSeek OCR early impressions suggest massive training throughput
  • Google limits free access to Gemini 3 Pro, reduces Nano Banana Pro features
  • Amazon employees warn aggressive AI expansion threatens jobs and climate
  • NotebookLM adds Deep Research and new file types
  • Nvidia stops bundling VRAM with GPUs due to memory crunch
  • MIT says AI can already handle millions of U.S. jobs
  • Slop Evader browser extension blocks AI-generated content pre-2022
  • Tencent shrinks OCR into a 1B-parameter VLM
  • Humanoid robots showrooms launch in Riyadh with 10,000-unit preorder

đź§µ Tools of the Day

  • TRAE – price-competitive coding agent
  • KaraVideo – unified interface for all AI video models
  • Heardly – speed-reading best books with AI
  • Momen AI – “vibe to viability” no-code builder
  • Open Deep Research – automated research reports via multi-agent workflows
  • Better Agents – CLI that standardizes agent building best practices
  • Compounding Engineering Plugin – Claude plugin for cumulative workflow acceleration
  • InsightTube – AI-powered learning from videos
  • Links v2.0 – privacy-first link manager with iCloud sync
  • NoSho – auto-fill last-minute business availability

Today’s Sources - The Rundown AI, AI Secret, AI Breakfast, TLDR AI, Robotics Herald

Subscribe to AI Slop

Sign up now to get access to the library of members-only issues.
Jamie Larson
Subscribe