Good morning. It's Monday, June 29, and we're covering why Americans still don't trust AI, why Anthropic is fielding questions over model security, and why OpenAI is rethinking its IPO.
Plus: a prompt that turns AI chatbots into your personal tutor, and a guest essay exploring why there’s no going back to the pre-ChatGPT era.
Rather than launching broadly, OpenAI limits GPT-5.6 to a small group of trusted partners after a U.S. government request over security concerns. CEO Sam Altman says access is initially restricted through Codex and the API, with customer approvals handled case by case. The move follows similar intervention on Anthropic's Claude models.
OpenAI is reportedly leaning toward delaying its initial public offering until 2027 despite earlier expectations for a sooner listing. The company is reassessing its timeline as volatile tech markets raise concerns about investor demand and valuation. Advisors reportedly recommend either waiting to pursue a $1 trillion IPO or accepting a lower valuation to go public earlier.
Rather than relying on regulation, critics argue Anthropic's own frontier AI should detect model distillation attempts in real time. Investor Bill Gurley questions why systems touted as nearing AGI cannot stop AI espionage without government intervention. Brad Gerstner adds that Anthropic's Fable model is already export-controlled and says additional restrictions could slow U.S. AI progress.
VIDEO
Claude Tag's Hidden Strategy
Anthropic's Claude Tag turns Slack into an AI coworker, raising concerns over AI-native companies, vendor lock-in, and the future of knowledge work.
FORWARD FUTURE ORIGINAL
Genie’s Not Going Back in the Bottle
I was recently watching a Demis Hassabis interview, and his one line has stuck with me. When Stanford President John Levin asked, “Demis, if you were back in school, what would you be studying, and what would be your advice to students about what to study in their careers?”
I want to stop here for a moment. Because this question relates to a specific pattern that has emerged among university students in the last month, and it shows what’s on their minds regarding what would be the impact of AI on their professional lives. → Read the full article here.
JOB SECURITY
Americans’ AI Gloom Reflects Job Security Fears, Not Messaging
Americans are more pessimistic about artificial intelligence than people in nearly every other country, according to a survey of 24,000 adults across 30 nations. Venture capitalist Paul Kedrosky argues this skepticism is driven less by misinformation or cultural attitudes than by concerns over job security in advanced economies.
In countries with large informal workforces, AI is often viewed as a path to better economic opportunities, while in wealthier nations with stable labor markets, it is seen as a threat to employment, income, and professional status. The piece suggests that Americans’ unease stems from the risk of losing what they already have, rather than resistance to technology itself. → Read the full article here. (Paywall)
MEMORY BOOM
Wall Street Crowns Micron the Next NVIDIA
Micron briefly leapfrogged Meta and Tesla in market value Thursday, with shares up more than 236% in a single month after blockbuster earnings: revenue quadrupled to $41.45 billion and profits jumped from $1.88 billion to $28.2 billion year-over-year. The Idaho memory maker is riding an AI data-center buildout that has created a severe shortage of DRAM, NAND, and especially High-Bandwidth Memory, the kind AI servers consume in massive quantities.
To calm fears of the boom-and-bust cycles that have historically plagued memory makers, Micron is pointing to 16 long-term supply agreements with customers including NVIDIA and Anthropic. Analysts are buying the story, though whether Micron can dodge the next downturn remains the open question hanging over its trillion-dollar run. → Read the full article here.
ARCHITECTURE
Former Databricks AI Chief Unveils 1,000x Lower-Power AI Architecture
Unconventional AI, a startup led by former Databricks AI chief Naveen Rao, has introduced Un-0, an image-generation model that runs on a software simulation of the company's new oscillator-based computing architecture. The system matches the performance of conventional diffusion models while serving as an early proof of concept for hardware Rao says could reduce AI inference power consumption by up to 1,000 times.
The company plans to release chip schematics and eventually build a complete inference platform around the technology. While the energy-saving claims remain unproven on physical hardware, the effort reflects growing industry interest in rethinking AI infrastructure as power demand becomes a key constraint on scaling. → Read the full article here.
NEWS
What Else is Happening
Mark Cuban Urges AI Outreach: Cuban says AI firms must support workers, artists and communities or opposition to data centers will keep growing.
OpenAI Names India MD: Former Uber India president Prabhjeet Singh will lead OpenAI's India expansion, its biggest market outside the U.S.
Ukraine Plans AI Infrastructure: Kyivstar will help build domestic AI computing to support military needs while reducing reliance on foreign infrastructure.
DuckDuckGo AI Spreads Hoax: DuckDuckGo's AI falsely claimed Trump died of rabies after repeating fabricated online content, exposing AI misinformation.
PROMPT OF THE WEEK
The "Test Me" Prompt
Quiz me on [topic]. Ask me 5 questions one at a time, starting easy and getting harder. Wait for my answer to each before moving on. After each answer, tell me if I'm right, explain why, and fill in anything I missed. At the end, give me a quick summary of what I've got down and what I should review again.
