OpenAI Shallotpeat Targets Gemini 3

Welcome to another edition of AI PlanetX.

OpenAI readies Project Shallotpeat after Gemini 3 overtakes; ex-employee alleges lethal robot concerns; Meta moves to trade electricity for AI infrastructure.

• Hottest AI News

• Top AI & SaaS Tools

• AI Tutorial: Create a 3‑Minute Agent That Sells

• Top AI & Tech News

• AI Art Spotlight

• Prompt of the Day: Prompt for Website Design Upgrade

• AI Video Tutorial

• Weekly Creator Playbooks to Grow on Social

Hottest AI News

OpenAI

OpenAI Plans Comeback With Project Shallotpeat After Gemini 3 Takes The Lead

Google’s Gemini 3 has surged to the top of AI benchmarks, overtaking OpenAI. A leaked Sam Altman memo warns staff to expect “rough vibes” and short-term pressure as their rival’s breakthrough briefly eclipses OpenAI’s lead.

Details:

• While OpenAI hit a wall with GPT-5 optimizations and struggled to make progress in the pre-training phase, Google proved that this fundamental method is far from dead by successfully leveraging it to gain a massive performance advantage

• To fight back, OpenAI is developing a model codenamed "Shallotpeat"—a reference to fixing "bad soil"—which is specifically designed to debug the errors in their pre-training basics so they can resume scaling

• Altman is explicitly prioritizing long-term "ambitious plans" like automating AI research and achieving superintelligence, telling staff it is critical to stay focused on these goals even if it means falling behind currently

OpenAI is stepping back to rebuild for the long haul. By pushing “Shallotpeat” to resolve deep data and training issues, Altman is choosing short-term decline to set up a future comeback.

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Figure

Whistleblower Claims Figure AI Fired Him For Warning Robots Could Kill

Figure AI is facing a federal lawsuit from its former head of product safety, Robert Gruendel, who claims he was wrongfully terminated just days after warning executives that their humanoid robots were strong enough to crush a human skull.

Details:

• Gruendel alleges he was fired after raising alarms about dangerous malfunctions, including an incident where a robot carved a quarter‑inch cut into a steel refrigerator door, warnings he claims leadership treated as "problems"

• The lawsuit claims Figure AI misled investors such as Jeff Bezos and Nvidia by using Gruendel to showcase a strong safety plan during fundraising, then “gutting” that plan once the money was secured

• While Figure AI reached a massive $39 billion valuation during this period, the company denies the allegations, calling them "falsehoods" and stating that Gruendel was fired for poor performance

This legal battle in the Northern District of California marks one of the first major whistleblower cases in the humanoid robotics industry.

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AI Tutorial

How to Build a 3-Minute AI Agent People Actually Want

You don't need a 50-feature product to succeed. You need one painful problem, a 3-minute fix, and proof it works in real workflows. This playbook shows you how to ship an agent people actually use, not just admire.

1. Pick a niche with purchase intent

   Choose a space you know where time saved equals money saved. Commit to one painful, repeated task.

2. Validate demand

   Scan marketplaces and recent threads to confirm people attempt to acquire solutions. Save 3 exact user complaints you can resolve currently.

3. Define one job to be done

   Promise a single outcome delivered in 1 to 3 minutes. Everything else can wait for version 2.

4. Set up workspace

   Go to Replit (Agent 3) and create an account. Maintain one project per agent to prevent scope creep.

5. Write a crisp agent spec

   Make success criteria explicit and measurable. Include:

   • Role and boundaries

   • Inputs and required context

   • Step-by-step process and tools

   • Constraints and guardrails

   • Output format and quality bar

6. Ship core loop first

   Build the shortest path from input to outcome. No dashboards, no extras. Prove value with one tap.

7. Start with proven agent ideas

   • Booking agent that schedules calls

   • Customer support agent that closes tickets

   • Personal productivity agent that keeps you on track

8. Test for reliability

   Check graceful errors, clarifying questions for missing info, consistent outputs, and sub-3 minute completion.

9. Capture proof that sells

   Take clean screenshots of input, action, and result. Record a 60 to 120 second demo showing the before and after and a simple CTA.

10. List, learn, iterate

    Publish on Gumroad, Etsy, or a basic landing page with clear problem and outcome. Ask buyers what was unclear or missing, ship version 2, then repeat this playbook in fresh niches.

Tip: Name your agent around the benefit, not the tech. Buyers don’t search for “LangGraph” or “workflow orchestrator.” They search for “AI that schedules calls” or “AI that closes tickets.”

Top AI & Tech News

• Meta is seeking federal approval to trade electricity so it can make long-term power commitments and resell excess to support its AI data centers

• OpenAI will retire the GPT-4o API on February 16, 2026, giving developers about three months to migrate

• Google AI infrastructure lead told staff that Google must double AI serving capacity every six months to meet demand, implying a 1,000× increase in 4–5 years

• Tesla, led by CEO Elon Musk, is ramping up recruitment for AI chip designers to develop custom chips for autonomous driving and humanoid robots

AI Art Spotlight

Create Your Own Photo Like This Using the Prompt Below:

Create step-by-step recipe infographic for [bolognese pasta], top-down view, minimal style on white background, ingredient photos labeled: "[x] g spaghetti", and other necessary ingredients (add them yourself), dotted node lines showing process steps with icons (boiling pot, mixing and others), final plated pasta shot at the bottom

Model: Nano Banana Pro

Prompt of the Day

Prompt for a Major Website Design Upgrade

Use this prompt to guide frontend designers and engineers toward creating distinctive, well-crafted interfaces that avoid generic, AI‑sloppy outputs. It emphasizes thoughtful typography, cohesive color systems, purposeful motion, and contextual backgrounds while steering teams away from overused font families, clichéd gradients, predictable layouts, and cookie‑cutter components.

Top AI Video Tutorial

25 Things Nano Banana Pro Can Do That AI Couldn’t Before

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