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AMD announces availability of its Instinct MI300X accelerator and MI300A accelerated processing unit.
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Good Morning, AI Enthusiasts!
The future has stopped asking for permission.
CHIPS

👀 What’s happening: NVIDIA, AMD, and Intel just appeared on the same RadixArk cap table, backing a $100 million seed round at a $400 million valuation. The company sits behind SGLang, an open-source inference engine reportedly deployed across 400,000-plus GPUs and used by Google, Microsoft, xAI, Oracle, NVIDIA, and AMD.
🌍 How this hits reality: The old assumption was simple: chips win, software follows. That is cracking. RadixArk helps models run faster and cheaper after they are built, by reusing repeated context, managing memory better, batching requests, and squeezing more work out of the same GPUs, without being locked to one hardware camp. NVIDIA wants better GPU throughput. AMD wants a CUDA escape route. Intel wants any serious opening for Gaudi. Nobody can afford to miss the neutral layer that makes expensive silicon useful.
🛎️ Key takeaway: This is “kill the miss risk” investing. One bet may be wrong, but missing the neutral inference layer could be worse. AI infrastructure is moving from hardware bragging to compute control.
👀 What’s happening: NVIDIA, AMD, and Intel just appeared on the same RadixArk cap table, backing a $100 million seed round at a $400 million valuation. The company sits behind SGLang, an open-source inference engine reportedly deployed across 400,000-plus GPUs and used by Google, Microsoft, xAI, Oracle, NVIDIA, and AMD.
👀 What’s happening: NVIDIA, AMD, and Intel just appeared on the same RadixArk cap table, backing a $100 million seed round at a $400 million valuation. The company sits behind SGLang, an open-source inference engine reportedly deployed across 400,000-plus GPUs and used by Google, Microsoft, xAI, Oracle, NVIDIA, and AMD.
RESEARCH

👀 What’s happening: OpenAI released its first ChatGPT Futures class, giving 26 young builders $10,000 each and frontier model access. The signal is Matteo Paz: an 18-year-old high school student who used machine learning on nearly 200TB of NEOWISE data and flagged 1.9 million infrared variable objects, including roughly 1.5 million unknown candidates.
🌍 How this hits reality: This may be the new research model. Not the old ladder of PhD, postdoc, lab access, and institutional permission. A prepared teenager with mentors, compute, and AI can now attack problems once reserved for credentialed researchers. And those resources are more reachable than ever. The gate did not vanish. It moved from degree to taste, framing, and execution.
🛎️ Key takeaway: AI is turning anyone with enough taste, obsession, and access into a present competitor. Not just elite youth. Universities and labs need to watch their walls now. The next serious talent may not arrive with a PhD, tenure, or permission.
👀 What’s happening: OpenAI released its first ChatGPT Futures class, giving 26 young builders $10,000 each and frontier model access. The signal is Matteo Paz: an 18-year-old high school student who used machine learning on nearly 200TB of NEOWISE data and flagged 1.9 million infrared variable objects, including roughly 1.5 million unknown candidates.
SECURITY

👀 What’s happening: Anthropic’s unreleased Claude Mythos Preview reportedly found thousands of zero-days across major operating systems and browsers, including 271 Firefox flaws in one pass, a 27-year-old OpenBSD bug, and a 17-year-old FreeBSD RCE. The Fed chair and Treasury secretary then called bank CEOs. This is not another benchmark. It is vulnerability discovery industrialized.
🌍 How this hits reality: The old cyber model assumed bugs were expensive to find, slow to verify, and limited by rare human talent. Mythos breaks that math. If one model can surface decades of hidden flaws, every bank, browser, OS vendor, and cloud stack is now sitting on technical debt that suddenly became searchable. Anthropic says defenders may have six months.
🛎️ Key takeaway: Cybersecurity is moving from patch management to model-speed exposure. If adversaries replicate this, the scarce asset will not be scanners. It will be response capacity, disclosure control, and trusted access.
👀 What’s happening: Anthropic’s unreleased Claude Mythos Preview reportedly found thousands of zero-days across major operating systems and browsers, including 271 Firefox flaws in one pass, a 27-year-old OpenBSD bug, and a 17-year-old FreeBSD RCE. The Fed chair and Treasury secretary then called bank CEOs.
SURVEY

👀 What’s happening: AI wealth is now ripping through Bay Area housing. Since ChatGPT launched in November 2022, Redfin says luxury homes from $3.1 million to $7.6 million are up 13.4%, while lower-end homes from $535,000 to $615,000 are down 3.8%. Same region, opposite gravity.
🌍 How this hits reality: The old Silicon Valley story was that tech wealth eventually pulled the region upward. This looks more brutal. AI founders, executives, and VCs are converting paper wealth into hard assets, while salaried workers stare at replacement risk, 40-year-old first-time buyers, high rates, repair-heavy condos, and HOA traps. The bottom is not getting affordable. It is getting discarded.
🛎️ Key takeaway: AI is no longer just eating jobs. It is eating neighborhoods. If this pattern holds, tech hubs become wealth filters, and housing becomes the clearest scoreboard of who owns the AI boom.
Since ChatGPT launched in November 2022, Redfin says luxury homes from $3.1 million to $7.6 million are up 13.4%, while lower-end homes from $535,000 to $615,000 are down 3.8%. Same region, opposite gravity.
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Plus: Anthropic Wants You to Fund Doom, a16z Sells Seats in Its Pipeline
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When AMD CEO Lisa Su walked on stage at the Axios AI+ Summit, she didn’t talk about the next model drop or the latest benchmark