🗞️ YOUR DAILY ROLLUP

Top Stories of the Day

🔥 ChatGPT Nears 700M Weekly Users Milestone
ChatGPT is on track to hit 700 million weekly users, doubling its March numbers and growing 4x since 2024. The growth is fueled by new GPT-4 image tools and rising business adoption. Users now spend 16 minutes daily on average, second only to Google and X. ChatGPT also boasts 5 million paying business users, up from 3 million in June.

🧐 Google AI Hallucinates Body Part in Medical Report
Google’s Med-Gemini AI misidentified a brain region as the “basilar ganglia,” a nonexistent structure, an error quietly edited after a doctor flagged it. Google downplayed it as a typo, but experts warn it exposes serious risks in medical AI. The concern: doctors may not catch hallucinated terms, leading to misdiagnoses and cascading clinical errors.

🕵️ Perplexity Accused of 'Stealth Crawling' Blocked Sites
Cloudflare says AI search startup Perplexity is dodging site restrictions by disguising its bots and rotating IPs to access blocked content. Despite robots.txt and firewall rules, Perplexity allegedly impersonated Chrome browsers to bypass detection. Cloudflare has now delisted the company as a verified bot and introduced new countermeasures.

🏡 Airbnb Guest Fights AI-Faked $9K Damage Claim
A London woman says an Airbnb host used AI-generated images to falsely accuse her of causing $9,000 in damages after she left a Manhattan rental early. Airbnb initially sided with the host, charging her $7,000, but reversed the decision after media inquiry and refunded her full stay. The case raises alarms about how AI image manipulation could fuel fraudulent claims.

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🛠️ REVAMP

Silicon Valley Sheds Its Soft Side in AI-Fueled ‘Hard Tech’ Reboot

Silicon Valley has traded its Web 2.0 swagger for a grittier “hard tech” ethos, centered on artificial intelligence and powered by GPUs. The freewheeling days of photo apps and free sushi have given way to neural networks, A.I. labs, and fierce competition for H100 chips. San Francisco has overtaken Palo Alto as the new tech capital, with neighborhoods like “Cerebral Valley” and “The Arena” now dense with A.I. start-ups and hacker house meetups.

At the same time, the culture is shifting rightward, with tech leaders embracing defense tech and libertarian politics. Massive layoffs cleared out the soft-skilled workforce, making room for engineers building A.I. that some believe could rival human intelligence. → Read the full article here.

🔮 PREDICTIONS

Demis Hassabis on AI’s Future: “10x Bigger Than the Industrial Revolution”

In a wide-ranging interview, DeepMind CEO and recent Nobel laureate Demis Hassabis outlines his vision for a future shaped by artificial general intelligence within five to ten years. He argues that AI could usher in “radical abundance,” with transformative advances in medicine, climate solutions, and science—if stewarded responsibly. But he also acknowledges the risks: rising energy demands, job displacement, and unequal power.

Hassabis reflects on his journey from chess prodigy to AI pioneer, critiques tech’s rush to release imperfect models, and stresses the need for philosophical, political, and economic rethinking. In his words, AI’s coming revolution will be faster and more profound than anything humanity has seen, and we’re already on the clock. → Read the full article here.

 ⚛️ SCIENCE

MIT Cracks the Code on Symmetry: New Algorithm Makes AI Smarter and Leaner

MIT researchers have unveiled the first provably efficient algorithm for training AI models on symmetric data, patterns that remain unchanged under transformations like rotation. By blending concepts from algebra and geometry, the team created a method that slashes data and computational requirements, offering a powerful new tool for applications like drug design, materials science, and climate modeling.

Their approach addresses a key limitation in current machine learning: conventional models often misinterpret symmetric data, leading to inefficiencies and errors. This breakthrough not only sets a theoretical benchmark but could inspire new neural network designs that are more interpretable, resource-conscious, and reliable. → Read the full paper here.

🛰️ NEWS

What Else is Happening

🌶️ Grok Imagine Adds NSFW Mode: xAI's new image/video generator lets users create semi-nude content via text prompts, but celebrity deepfakes and explicit extremes still trigger built-in moderation filters.

🚨 Gates Warns Gen Z on AI Jobs: Bill Gates says mastering AI won’t guarantee job security as automation hits entry-level roles. Grads now eye trades and human-focused careers for stability.

🦾 OpenMind Builds Android for Robots: Startup OpenMind is creating OM1, an open OS for humanoids that lets machines share knowledge, starting with robotic dogs and $20M in new funding.

🙅 Gen Z’s AI Rebellion: Four young women told BI they avoid AI entirely, citing ethics, environmental harm, and workplace backlash, even asking friends and managers to ditch the tech.

❌ Delta Denies AI Price Targeting: Facing Senate scrutiny, Delta insists it doesn’t use AI to set fares based on personal data, just market trends, demand, and timing, not surveillance pricing.

📟 PROMPT OF THE WEEK

Your Technical Project Copilot

You are my technical project management copilot. I’m leading complex, cross-functional initiatives involving engineering, product, and business teams. Your job is to help me:

⚬ Clarify scope and dependencies
⚬ Spot risks before they escalate
⚬ Translate between technical and non-technical stakeholders
⚬ Keep momentum high across sprints, docs, and meetings

I’ll share:
⚬ The project goal and timeline
⚬ The team structure and key stakeholders
⚬ The current stage (planning, in-flight, blocked, delivery, etc.)
⚬ And what I need help with right now (e.g., status update, Jira grooming, stakeholder summary, risk mitigation plan)

You’ll respond with:
⚬ Clear and structured suggestions tailored to my project stage
⚬ Risk flags and dependency checks I might’ve missed
⚬ Sample language I can use in updates or docs
⚬ Actionable next steps to keep things moving forward

Let’s run this project like a pro. What do you need from me?

📽️ VIDEO

Another Open Source Killer Model!?

ICYMI: Quen 3, an open-source AI from Alibaba, aces coding, physics, and medical prompts with surprising reasoning. But censorship and spatial logic still trip it up.

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🤠 THE DAILY BYTE

AI Cooks Up a Digital Antidote

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Matthew Berman & The Forward Future Team

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