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Hey Radarians, this week AI feels more secure and practical. |
OpenAI safeguards, a White House AI pact, smarter product visuals, personality research, and tools worth watching. |
Letโs dive in. |
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๐ OpenAI says Moonshot AI tried to extract model reasoning |
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OpenAI says people associated with Moonshot AI ran a coordinated distillation campaign to extract protected reasoning and help reproduce advanced capabilities elsewhere The campaign peaked on July 24โ25 with 16,000 attempted extraction requests from more than 4,000 users, while related activity was tied to more than 15,000 users OpenAI says no database was breached or stored user chats exposed, but it tightened safeguards, restricted accounts, and shared findings with industry and government |
๐ค Trump signs voluntary AI safety pact with six tech giants |
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OpenAI, Anthropic, Google, Meta, Nvidia, and xAI signed a White House accord committing to stronger internal controls, independent audits, and board-level oversight The pact calls for four layers of AI safety checks covering areas like cybersecurity and biosecurity, but it is voluntary and includes no legal penalties for noncompliance Trump also ordered federal agencies to use โSuper Intelligenceโ instead of โArtificial Intelligence,โ while the accord says its safeguards could later be written into law |
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Learn AI in 5 minutes a day |
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You don't have to scroll every AI thread, track every new tool, or watch every demo. |
The Rundown AI breaks it all down for you โ the latest AI news, tools, and tutorials in one free 5-minute email every morning. |
Trusted by 2M+ professionals at Apple, Google, and NASA. |
Sign up to start learning. |
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More News on the Radar |
Grokipedia resumed edits with v0.3, adding a fresh logo, redesigned homepage and live edits page, plus minor article improvements |
Legato launched $999+ AI hearing glasses for moderate hearing loss, using on-device AI to amplify voices and cut background noise |
Google announced Gemini 4 Argon for coding, enterprise tasks and cybersecurity, with limited availability before wider rollout |
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โก Steal This Workflow |
Turn One Product Photo Into a Full Studio Shoot |
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Stop organizing a photoshoot every time you need another product visual. Start with one clean product photo, build a visual direction once, then use AI to create the rest of the campaign around it. |
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Lock the real product first
Upload your cleanest product photo to ChatGPT Images.
Tell it to preserve the exact shape, proportions, colors, materials, packaging, logo, and visible text. Fix any incorrect details before creating variations.
This original image becomes your reference for the entire shoot.
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Create one master studio shot
Generate a clean commercial hero image first: simple background, realistic lighting, natural shadow, sharp details, and enough empty space around the product.
Refine this image until the product looks accurate.
Do not start creating ten scenes before you have one reliable master image.
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Build the full shot list
Use the approved product to create the visuals you actually need:
Change one thing at a time - background, lighting, composition, or styling. Small targeted edits are more reliable than completely rebuilding the image each time.
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Create angles and campaign sizes
Generate different compositions such as top-down, close crop, or 45-degree views.
If an angle exposes parts of the product that were not visible in the original photo, upload additional real reference images instead of trusting AI to guess them.
Then create the approved visuals in the formats you need: 1:1, 4:5, 9:16, and 16:9.
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Finish and quality-check in Canva
Move the approved images into Canva and add exact headlines, prices, CTAs, logos, fonts, and legal copy.
Before publishing, compare every image with the real product. Check the packaging, text, colors, proportions, and product features.
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๐ AI RESEARCH: AI Can Guess Your Personality From a Short Group Discussion
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What researchers studied: |
Researchers analyzed brief online group discussions from 363 participants and used Gemini 2.0 Flash to infer Big Five personality traits, narcissism, and intelligence from the transcripts. |
A separate group of trained human raters judged the same traits from a subset of 100 discussions. |
What they found: |
Geminiโs estimates showed modest but above-chance links with actual test scores for six of the seven traits studied. |
On the human-comparison subset, the AI was descriptively more accurate than trained raters for five of seven traits, including openness, extraversion, agreeableness, emotional stability, and intelligence. |
But the correlations remained small, and the researchers also found problems with separating traits cleanly and potential gender-related bias. |
Why it matters: |
AI may be able to pick up real personality signals from surprisingly little conversation. But the results are not strong enough for AI to make hiring or other high-stakes decisions on its own. |
Source: From Tasks to Traits, International Journal of Selection and Assessment, July 2026 |
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๐ ๏ธ Tools Worth Watching |
Scriptly: AI video studio creating movies with consistent characters through chat Pactto: AI creative review platform turning team feedback into live edits Tucky: Mac notes app with an AI agent living at the edge of your screen |
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NVIDIA's Founder Says Farmers Should Absolutely Use AI |
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โIf I were a farmer, I would absolutely use AI.โ |
Thatโs Jensen Huang, founder and CEO of NVIDIA. |
And he's pointing to one of AIโs biggest untapped opportunities: Farming. Itโs an industry facing mounting pressure to produce more with less and itโs still massively under-automated. |
DIT AgTech brings AI, nutrition automation, and real-time data to livestock production, helping ranchers boost productivity and get more from every animal. |
And itโs already proven in one of the world's toughest livestock environments: |
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Now expanding into the U.S. and Brazil, DIT AgTech is targeting a 300M+ head cattle market. And the biggest barrier to adoption? Gone. Ranchers get the technology for free when they sign up for a three-year nutrition plan. |
DIT AgTech can scale adoption faster, which means more data and more recurring revenue. |
Invest before this early-stage opportunity gets harder to access. |
Invest in DIT AgTech Today |
๐๐ฏ ๐ฎ๐ข๐ฌ๐ช๐ฏ๐จ ๐ข๐ฏ ๐ช๐ฏ๐ท๐ฆ๐ด๐ต๐ฎ๐ฆ๐ฏ๐ต ๐ฅ๐ฆ๐ค๐ช๐ด๐ช๐ฐ๐ฏ, ๐ช๐ฏ๐ท๐ฆ๐ด๐ต๐ฐ๐ณ๐ด ๐ฎ๐ถ๐ด๐ต ๐ณ๐ฆ๐ญ๐บ ๐ฐ๐ฏ ๐ต๐ฉ๐ฆ๐ช๐ณ ๐ฐ๐ธ๐ฏ ๐ฆ๐น๐ข๐ฎ๐ช๐ฏ๐ข๐ต๐ช๐ฐ๐ฏ ๐ฐ๐ง ๐ต๐ฉ๐ฆ ๐ช๐ด๐ด๐ถ๐ฆ๐ณ ๐ข๐ฏ๐ฅ ๐ต๐ฉ๐ฆ ๐ต๐ฆ๐ณ๐ฎ๐ด ๐ฐ๐ง ๐ต๐ฉ๐ฆ ๐ฐ๐ง๐ง๐ฆ๐ณ๐ช๐ฏ๐จ, ๐ช๐ฏ๐ค๐ญ๐ถ๐ฅ๐ช๐ฏ๐จ ๐ต๐ฉ๐ฆ ๐ฎ๐ฆ๐ณ๐ช๐ต๐ด ๐ข๐ฏ๐ฅ ๐ณ๐ช๐ด๐ฌ๐ด ๐ช๐ฏ๐ท๐ฐ๐ญ๐ท๐ฆ๐ฅ. ๐๐๐ ๐๐จ๐๐ฆ๐ค๐ฉ ๐ฉ๐ข๐ด ๐ง๐ช๐ญ๐ฆ๐ฅ ๐ข ๐๐ฐ๐ณ๐ฎ ๐ ๐ธ๐ช๐ต๐ฉ ๐ต๐ฉ๐ฆ ๐๐ฆ๐ค๐ถ๐ณ๐ช๐ต๐ช๐ฆ๐ด ๐ข๐ฏ๐ฅ ๐๐น๐ค๐ฉ๐ข๐ฏ๐จ๐ฆ ๐๐ฐ๐ฎ๐ฎ๐ช๐ด๐ด๐ช๐ฐ๐ฏ ๐ช๐ฏ ๐ค๐ฐ๐ฏ๐ฏ๐ฆ๐ค๐ต๐ช๐ฐ๐ฏ ๐ธ๐ช๐ต๐ฉ ๐ช๐ต๐ด ๐ฐ๐ง๐ง๐ฆ๐ณ๐ช๐ฏ๐จ, ๐ข ๐ค๐ฐ๐ฑ๐บ ๐ฐ๐ง ๐ธ๐ฉ๐ช๐ค๐ฉ ๐ฎ๐ข๐บ ๐ฃ๐ฆ ๐ฐ๐ฃ๐ต๐ข๐ช๐ฏ๐ฆ๐ฅ ๐ฉ๐ฆ๐ณ๐ฆ: https://bit.ly/4bzuWCiโ โ |
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๐ Prompt Radar: Reverse-Engineer Why Something Worked
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What it does: Breaks down a successful campaign, product, post, landing page, or project to identify what likely drove the result and what may have been timing, luck, or coincidence. |
Work as a performance analyst. Analyze the successful result I provide without assuming every visible element caused the outcome. Break down the possible drivers across offer, audience, positioning, execution, distribution, timing, pricing, creative, channel, and external factors. For each factor, explain the evidence that it contributed, how strong that evidence is, and what alternative explanations could exist. Separate factors that were likely causal from those that were merely correlated with success. Flag advantages such as seasonality, existing audience, unusual distribution, market conditions, or luck that may make the result difficult to repeat. Then identify which elements are most worth testing again and design the smallest test that could show whether each one actually matters. Finish with three sections: โLikely Drivers,โ โPossible Coincidence,โ and โWhat to Test Next.โ Result to analyze: [PASTE].
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Best for: |
Successful campaigns and ads Viral posts, landing pages, and product launches Projects or strategies you want to repeat |
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๐ผ AI Side Hustle Idea: AI Website Audit Service
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Most businesses donโt need a completely fresh website. They need to know what is hurting the one they already have. |
The problem:
Business websites often have slow pages, weak copy, confusing navigation, broken links, poor SEO, outdated content, and conversion problems that owners never notice. |
Your AI service:
Use AI and website analysis tools to audit a clientโs site, identify the biggest problems, and turn the findings into a clear action plan covering content, SEO, user experience, performance, and conversions. |
Simple workflow:
Website URL โ scan key pages โ analyze SEO + copy โ find UX and performance issues โ prioritize fixes โ deliver audit report |
Best clients:
Local businesses, ecommerce stores, SaaS companies, agencies, consultants, coaches, and small businesses with outdated or underperforming websites. |
What you can charge for:
One-time website audit + optimization roadmap + monthly website improvement support. |
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Learn AI with This Course |
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What youโll learn: |
Learn how AI is transforming industries, reshaping job markets, and creating career opportunities, while understanding how these changes affect areas such as marketing, finance, healthcare, and technology. |
Key topics: |
Understanding how AI is transforming industries and business functions Exploring real-world AI applications across marketing, finance, healthcare, and technology Identifying emerging career opportunities and adapting to an AI-driven job market |
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Until next week,
AI Radars |
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