In partnership with
Hey Radarians, this week is about AI moving deeper into hardware and infrastructure.
Custom chips, AI in orbit, smarter spreadsheets, efficient models, and a fresh video side hustle.
Let’s dive in.
What’s Inside 📡
Radar News Brief
Steal This Workflow
AI Research
Tools Worth Watching
Prompt Radar
AI Side Hustle Idea
Learn AI with This Course
Radar News Brief
🔥 OpenAI’s Jalapeño chip beats Nvidia on AI inference
OpenAI published the first benchmarks for Jalapeño, its custom inference chip built with Broadcom, rated at 700 watts and designed to run AI models instead of train them
On InferenceX, Jalapeño delivered 1.5–1.9x more work per watt and 1.7–3.6x lower latency than Nvidia GB200 and GB300 systems across GPT-OSS, DeepSeek R1 and Kimi K2.5
AI helped take the chip from design to tapeout in nine months, while Gen 2 and Gen 3 are underway and OpenAI plans to deploy Jalapeño internally by the end of 2026
🛰️ SpaceX is taking Nvidia’s Vera Rubin AI hardware into orbit
SpaceXAI plans to build its first Starmind AI satellite around an optimized Nvidia Vera Rubin NVL72 system, with a Q4 2027 launch target and larger deployments planned for 2028
A standard NVL72 combines 72 Rubin GPUs with 36 Vera CPUs, while Nvidia says its Space-1 Rubin module can deliver up to 25x more AI compute per GPU than an H100
SpaceXAI also plans to expand Grok infrastructure with Vera Rubin on Earth before pushing the architecture into orbit, turning orbital AI from a long-term idea into a real hardware roadmap
22 ChatGPT Agents Built for Every Marketing Job
Most marketers use ChatGPT to do general research and then call it an AI strategy. The ones outperforming them are deploying specialized agents built for specific jobs.
We put together 22 plug-and-play ChatGPT marketing agents that handle the work eating your week, each with built-in instructions and structured outputs ready to go in under 5 minutes.
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Inside you'll find:
Competitive intelligence agent that visits competitor websites and builds detailed comparison matrices automatically
Customer feedback analyzer that ranks improvement opportunities by business impact
Social listening specialist that monitors brand mentions and flags reputation risks before they escalate
Campaign optimization agents that handle attribution analysis and surface what is actually driving results
Your competitors are already running agents like these.
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More News on the Radar
Anthropic’s Fable 5 faces limited corporate adoption as businesses favor cheaper models that perform well enough for routine tasks
Perplexity and Nvidia launched Portable Computer, running agentic tasks locally to keep data private, avoid token costs
Apple launched the $899 Mac Mini with M6 chips, built for AI agentic computing and up to 4× faster workload performance
⚡ Steal This Workflow
Fix Broken Spreadsheet Formulas With AI
Stop spending 20 minutes hunting for one missing bracket or wrong cell reference.
Let Gemini troubleshoot the formula directly inside Google Sheets.
Find the broken formula
Open your spreadsheet and look for a cell showing a formula error such as
#REF!, #VALUE!, or another error message.Hover over the affected cell.
Ask Gemini to diagnose it
Tap on Fix.
Gemini analyzes the formula alongside the surrounding spreadsheet structure to identify problems such as incorrect references or formula syntax.
Check the explanation and fix
Gemini explains what is causing the error and, where possible, fixes the formula directly in the sheet.
For more complicated formulas, you can also open Ask Gemini and describe what the calculation is supposed to do.
Try:
Fix this formula and explain what was wrong. Keep the intended calculation the same, verify the cell references against the surrounding data, and do not change unrelated cells.Gemini can also generate formulas from plain-English instructions if you need to rebuild one from scratch.
Review the result
Check the corrected value against a few rows of your data before relying on it for reports, forecasts, or financial calculations.
🔎 AI RESEARCH: A Small AI Beat a Frontier Model at Around 1% of the Cost
What researchers studied:
MIT and Harvard researchers created a version of Battleship where AI agents had to ask useful questions to discover where hidden ships were placed.
What they found:
A smaller Llama 4 Scout model originally beat human players only 8% of the time. After researchers changed how it explored possibilities and chose questions, its win rate jumped to 82%.
The improved model even outperformed GPT-5 in the game while operating at around 1% of its cost.
Why it matters:
Smaller AI models may sometimes beat much larger ones when they are given better ways to reason, explore possibilities, and ask the right questions.
Source: MIT CSAIL / ICLR, June 2026
🛠️ Tools Worth Watching
Bullet: Coding agent optimizing models and parallelizing tasks for speed
Assembly Studio: AI app builder creating production-grade apps for firms
Wondering: Personalized learning platform with bite-sized interactive lessons
Find the perfect marketing agencies in <15 minutes
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Tell us your budget and what you need
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📝 Prompt Radar: Create Better Case Studies
What it does: Turns customer success into useful proof instead of promotional fluff.
Act as a case-study strategist. Using the verified customer information I provide, create a strong case-study structure focused on the customer’s situation rather than excessive company promotion. Extract the original problem, stakes, previous approach, reason for choosing the solution, implementation process, obstacles, changes made, measurable results, unexpected outcomes, lessons, and who the solution is best suited for. Clearly separate measured results from customer opinions and never invent numbers or quotes. Create a detailed case study, a short sales version, key proof points, possible social posts, and questions we should ask the customer to fill important evidence gaps. Customer information: [PASTE].Best for:
B2B marketing
Sales enablement
Websites
💼 AI Side Hustle Idea: AI Short-Form Video Assistant
Most businesses don’t need “more content ideas.” They need a faster way to turn those ideas into short videos they can consistently publish.
The problem:
Creating Reels, Shorts, and social videos every week means researching topics, writing hooks, scripting, finding visuals, editing footage, and preparing captions—work many small teams struggle to keep up with.
Your AI service:
Build a weekly short-form content package with video ideas, hooks, scripts, AI-generated visuals or B-roll, editing directions, captions, and ready-to-publish variations.
Simple workflow:
Brand goals → content research → hooks + scripts → AI visuals/B-roll → edit brief → finished short-form content pack
Best clients:
Creators, coaches, ecommerce brands, SaaS companies, agencies, local businesses, and founders building personal brands.
What you can charge for:
Weekly video package + monthly content retainer.
Learn AI with This Course
What you’ll learn:
Learn how to use AI and ChatGPT effectively by understanding the fundamentals, writing better prompts, and applying AI responsibly to everyday work.
Key topics:
Understanding AI, large language models, and how ChatGPT works
Writing clear prompts, adding useful context, and improving AI outputs
Reviewing AI responses and using AI responsibly for real-world tasks
Until next week,
AI Radars