Gemini is coming to your car+Trump Considers Selling +1 Million AI Chips

Welcome to The Prompt Innovator Newsletter

Hey there, boundary‑benders of TPI! 

It’s Wednesday again—which means your coffee is probably still hot, and the AI world has already rewritten the playbook. In the last spin of the news cycle we saw GPT‑4o sprout native image generation (openai.com), Claude 3.5 Sonnet leapfrog its own big brother (anthropic.com), and Alibaba’s ZeroSearch slash retrieval‑training bills by 88 % (techrepublic.com). Microsoft’s privacy‑hardened Recall finally tip‑toed back into Windows (techrepublic.com), Saudi Arabia spun up Humain to build multimodal Arabic LLMs (reuters.com), and Apple is hinting that WWDC25 will ship a Siri with actual superpowers (macobserver.com). Oh, and analysts just trimmed—but still marvelled at—NVIDIA’s Blackwell GPU forecasts (tomshardware.com) while Google keeps teasing the always‑on Project Astra assistant (deepmind.google). 

TL;DR: the gear ratio on innovation just clicked up again. Luckily, your weekly newsletter is here to cram the freshest breakthroughs into a tidy, caffeine‑sized package: 

● AI News of the Week – headline stories you can quote before your stand‑up ends. 

● Featured Article – a deep dive into ZeroSearch, the self‑training search trick that’s about to crush API costs. 

● AI Tool Spotlight – PlayMix AI turns napkin sketches into playable games in under a minute. 

● AI Tip & Prompt of the Week – instant cheat‑codes for model matching and voice cloning. 

● Community Wins – shout‑outs to TPIers shipping bots, dashboards, and the occasional moon‑shot. 

Grab your beverage of choice, clear a tab (you’ll need it), and let’s turn today’s “wow” into tomorrow’s workflow. Ready to build? Let’s roll. 

What you get in this FREE Newsletter

In Today’s 5-Minute AI Digest. You will get:

1. The MOST important AI News & research
2. AI Prompt of the week
3. AI Tool of the week
4. AI Tip of the week

…all in a FREE Weekly newsletter. 

Let’s spark innovation together!

1. Gemini smarts are coming to more Android devices

Google’s bringing Gemini to your car with Android Auto

Gemini, Google's AI assistant, is expanding beyond phones. It's coming to Wear OS smartwatches, Android Auto, and Google TV in the coming months and later this year respectively. This means hands-free help for driving, personalized recommendations on your TV, and convenient assistance on your wrist. 

• Gemini smarts expand across more Android devices.

• Your wrist gets Gemini: Use it on your Wear OS watch.

• Hands-free driving help arrives via Android Auto.

• Gemini comes to your TV for entertainment and learning.

• Explore new ways to interact with headsets and glasses.

[Read the full story]

2. Trump Considers Selling Over 1 Million Nvidia AI Chips to UAE

The U.S. government is mulling over a massive tech export deal that could see over 1 million Nvidia AI chips sent to the United Arab Emirates (UAE)—a move that could seriously shake up the global AI power game.

These chips, which are at the heart of training and running large AI models, would likely be used by UAE-based companies like G42, which has growing ties with U.S. AI giants like OpenAI and Microsoft. The goal? To help the UAE become a bigger player in artificial intelligence development.

But it's not all smooth sailing. This proposal is raising red flags, especially in Washington, where some worry that China could indirectly gain access to this cutting-edge tech through third-party channels. With AI now a hot topic in geopolitics, the fear is that technology could end up in the wrong hands—or at least, hands that shift the current balance of global influence.

In short, this potential export deal isn’t just about chips; it’s about who controls the future of AI and how much influence the U.S. is willing to share in a rapidly shifting digital landscape.

[Read the full story]

3. AI Unearths Rare Metal in Australia

A groundbreaking discovery in the world of minerals is making headlines, and AI is the star of the show. An Australian startup called Earth AI has uncovered a significant deposit of indium, a rare and highly sought-after metal, using artificial intelligence to guide their geological exploration.

Indium is essential for modern tech—it’s used in solar panels, touchscreens, and semiconductors—but it's notoriously difficult to find in large quantities. Right now, China dominates the global supply, making other countries heavily reliant on its exports. This new discovery in Australia, driven by AI’s ability to analyze and interpret geological data far faster and more accurately than traditional methods, could help break that dependence.

Earth AI's use of machine learning models allowed them to pinpoint areas with high indium potential that might have been overlooked by conventional mining approaches. This find not only highlights how AI is revolutionizing the mining industry but also how it can contribute to more sustainable and self-sufficient resource strategies in tech-critical sectors.

[Read the full story]

4. ZeroSearch: Alibaba’s Self‑Training Search Slashes AI Costs by 88 %

How ZeroSearch Redefines AI Search Training

Alibaba's latest innovation, ZeroSearch, is a reinforcement learning framework designed to enable large language models (LLMs) to perform search functions internally, eliminating the need for external APIs like Google or Bing. This approach significantly reduces retrieval training costs—by up to 88%—while maintaining, and in some cases surpassing, the accuracy of traditional search engines. For instance, training expenses can drop from $586 in API fees to just $71 in GPU time.

[Read the full story]

AI Prompt of the Week:
Train ChatGPT o1 to Learn Your Style 

Core Idea 

Large‑language models can mimic a writer’s “voice” if you first show them a sample and then tell them to replicate it—a technique sometimes called style transfer(aidiscoveries.io, wielded.com). The quickest way is to feed the model your text, have it extract tone, sentence cadence, vocabulary choices, and rhythm, and then generate fresh copy that still sounds like you(workwiz.ai, yeschat.ai). Wrapping that workflow in a reusable scaffold means you only paste your sample once and keep the prompt on standby. 

The Prompt Scaffold 

“You are ChatGPT o3, an assistant that studies and replicates authorial style. 

Task 1 – Analyze Style 

• Read the text between the tags <sample></sample>. 

• Summarise its key stylistic traits: typical sentence length, formality, preferred POV, tone, pacing, and any signature phrases. 

Task 2 – Generate Matching Paragraph 

• Write one new ¶ (120‑150 words) on the topic I supply. 

• Match the style traits you just identified. 

• Stay original—no direct copying. 

<sample> 

[PASTE YOUR TEXT HERE] 

</sample> 

Topic: <<insert desired topic>>” 

The system‑like header primes the model, mirroring best practice for “system messages” in OpenAI’s docs(learn.microsoft.com). 

Why This Prompt Works 

Benefit What’s Under the Hood Reference 

Explicit style extraction Forces the AI to describe voice features before writing, sharpening fidelity. Workwiz prompt pattern(workwiz.ai) 

Example in Action 

Before 

“Write a paragraph about remote work benefits.” (generic) 

After Use the scaffold above with a 200‑word Slack rant you wrote last week as <sample> and set Topic: “remote work perks.” ChatGPT returns a crisp, sarcastic 130‑word take that mirrors your short, punch‑heavy sentences and tongue‑in‑cheek emoji cadence—no edits needed. 

Pro Tips 

1. Feed at least 300 words for richer signal—mirrors guidance in prompt‑engineering cheat sheets(learnprompt.org, godofprompt.ai). 

2. Iterate aloud: ask “Which trait did you miss?” and nudge; the feedback loop refines voice further(godofprompt.ai). 

3. Store variants: keep different style prompts in Notion for quick swap‑outs, as recommended by style‑prompt archivists(wielded.com). 

4. Respect originality: remind the model to transform, not plagiarise, to avoid policy flags and SEO penalties(gptpromptshub.com). 

Final Takeaway 

Think of this scaffold as a voice cloning switch: paste your prose, set a topic, and let ChatGPT o1 draft in your signature sound—no fine‑tuning or custom API calls required. 

AI Tool of the Week
PlayMix AI — Instant Game Builder 🎮⚡️

Turn a one‑line idea into a playable game before your coffee cools. PlayMix AI automates coding, art and deployment so non‑devs can ship micro‑games in seconds.(futuretools.io, fazier.com, playmix.ai)

🔍 What Is PlayMix AI?

PlayMix AI is a browser‑based “no‑code” platform that takes a simple text prompt (or even a sketch) and spins up a fully functional game you can play and share instantly. It bundles a “My Games” dashboard for your creations and a public Community feed where users remix each other’s work.(futuretools.io, fazier.com, youtube.com) The demo title TypeStorm shows the kind of rapid‑fire prototypes the engine can generate.(github.com)

🌟 Key Features

💰 Pricing (USD)

Heads‑up: PlayMix markets itself as freemium and runs regular launch coupons (25–50 % off) but final pricing hasn’t been locked.(playmixai.knoji.com, dealspotr.com)

✅ Why It Stands Out

● Milliseconds to fun — you get a playable prototype faster than some engines finish compiling.(youtube.com)

● No‑code, no‑problem — great for teachers or marketers who just want an interactive piece without Unity headaches.(futuretools.io)

● Idea → Asset pipeline — built‑in art generator removes the need for external sprite tools.(fazier.com)

● Community remix ethos mirrors TikTok‑style iteration and discovery.(fazier.com)

⚠️ What to Watch Out For

● Quality control: rapid builds can feel generic; expect to fine‑tune.

● Flagged for review: FutureTools has temporarily flagged PlayMix for possible vote‑gaming; due diligence advised.(futuretools.io)

● Limited complex logic: Advanced AI, physics or narrative branching still requires exporting to a full engine.

● JS‑only UI: Site needs a modern browser with WebGL; some corporate firewalls may block.(playmix.ai)

👥 Who’s Using PlayMix AI?

● Hobby devs whipping up weekend game‑jams without touching code.(fazier.com)

● Educators turning history lessons into quizzes or platformers in minutes.

● Marketers embedding branded mini‑games in landing pages for higher dwell time.

🏷️ Pro Tip

Use the sketch upload to block out level layouts—rough rectangles become full tilesets, saving hours of tile‑by‑tile placement.(fazier.com)

💬 What Users Are Saying

“What if making games was as easy as playing them? PlayMix feels like having an AI dev buddy who ships while you sleep.” — Demo video commenter, Apr 2025(youtube.com)

🎯 Overall Rating: 4.2 / 5

A killer prototyping toy with real production promise—dock half a star for early‑stage quirks and the current review flag.

🚀 Final Verdict

If you’ve got a game concept but zero time (or C# chops), PlayMix AI belongs on your bookmark bar. Give it a spin, then decide if those exported builds deserve a Unity polish.

🔗 Explore PlayMix AI: https://www.playmix.ai/ (free early‑access account available)(playmix.ai)

AI Tip of the Week
The “Model Matchmaker” Cheat‑Sheet 🤝🧠

OpenAI’s catalogue may look like alphabet soup, but if you know which model matches which job you’ll save tokens, latency and headaches. Here’s the one‑screen guide you can paste next to your IDE (or share with every product squad).

🚀 Why It Matters

TL;DR – Map the job to the right model and your UX (and budget) thank you.

🧰 At‑a‑Glance Line‑Up

1. Everyday GPT Chat
   • GPT‑4o ("Omni") – Fastest, cheapest flagship; text + vision + audio.
   • GPT‑4 Turbo – 128 K tokens, deterministic JSON, great for docs.
   • GPT‑3.5 Turbo / 4.1‑mini – Value workhorses for bulk chat & light logic.

2. Reasoning‑Grade GPT
   • OpenAI o3 – Top benchmarks in maths, code, vision.
   • OpenAI o4‑mini – 80 % of o3’s brains at half the price/latency.

3. Specialists
   • text‑embedding‑3‑large/small – 2‑3× better semantic search vs. ada‑002.
   • DALL·E 3 (gpt-image-1) – Detailed, brand‑safe images.
   • Whisper large‑v3 – Best‑in‑class multilingual speech‑to‑text.

4. Legacy Corner
   text‑davinci‑003, babbage‑002, old Codex ⇒ sunset Jan 27 2025. Migrate now.

🏎️ Cheat Codes

● Need multimodal & speed? → GPT‑4o

● Need huge context or bullet‑proof JSON? → GPT‑4 Turbo

● On a tight budget? → GPT‑3.5 Turbo or 4.1‑mini

● Hard maths / advanced coding? → OpenAI o3

● Retrieval‑augmented generation? → text‑embedding‑3

● Transcripts? → Whisper large‑v3

● Marketing visuals? → DALL·E 3

💡 Pro Tips

1. Prototype small, then upscale – Kick off with GPT‑3.5 Turbo; switch to GPT‑4‑class only where quality matters.

2. Cache repeated prompts – GPT‑4x input caching can halve your token spend.

3. Watch the retirement clock – Legacy endpoints disappear Jan 27 2025.

4. Bundle specialists – Whisper → text‑embedding‑3 → GPT‑4o is a killer pipeline for searchable meeting recaps.

🔑 Final Takeaway Treat the model menu like a toolbox: pick the right wrench and the job flies by. Copy‑paste the cheat codes above into your next sprint doc and get building!

Stay Connected & Keep Innovating 🚀

Here are four fresh headlines (all published within the last 72 hours) that have the AI world buzzing:

OpenAI solidifies nonprofit control with Public Benefit Corporation restructuring.
OpenAI has announced a major organizational shift by transitioning its for-profit arm into a Public Benefit Corporation (PBC), aiming to align its structure with its mission of ensuring artificial intelligence (AI) benefits all of humanity. This restructuring is intended to simplify the company’s framework, facilitate increased funding, and potentially lead to an initial public offering (IPO). The move mirrors similar strategies by safety-focused AI firms like Anthropic. Lifewire

Google's NotebookLM now powered by Gemini 2.5 Flash, with standalone app on the horizon.
Google's research and note-taking tool, NotebookLM, has been upgraded to utilize the Gemini 2.5 Flash model, enhancing its multi-step reasoning capabilities. Additionally, Google announced plans to launch NotebookLM as a standalone app, with pre-registration available ahead of its release. BleepingComputer

U.S. lawmakers propose 'Chip Security Act' to track AI chip exports and curb illicit transfers to China.
On May 9, 2025, U.S. Senator Tom Cotton introduced the "Chip Security Act," a bill aimed at implementing location-tracking mechanisms on export-controlled AI chips to prevent unauthorized access, particularly by China. The proposed legislation mandates that AI chips and products containing them be equipped with systems to detect smuggling, diversion, or tampering. Reuters

UAE and France announce €50 billion partnership to build Europe's largest AI data center.
The United Arab Emirates and France have signed a historic agreement to develop a 1-gigawatt AI data center in Europe, marking a significant investment and collaboration in the AI sector. This initiative strengthens their strategic partnership, focusing on advancing AI technologies and infrastructure across public and private sectors. 3Devdiscourse

Keep these developments on your radar as you craft, test, and deploy your own intelligent solutions. Have a story or insight we should feature? Ping the TPI Insights team anytime.

Until next week—stay curious, stay bold!