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THE DAILY INDEX

Technology, AI, software, security, crypto and business

HEADLINES & LAUNCHES

TLDR AI

WHY BROADCOM'S BET ON OPENAI IS A BIG RISK

Broadcom's deal to develop huge numbers of chips and computing systems with OpenAI is not a clear-cut win. OpenAI has recently signed multiple multi-billion-dollar deals to create data centers stocked with hundreds of thousands of chips. While the scale is remarkable, it is unclear how OpenAI will pay for all of it. OpenAI's revenue this year is expected to be around $13 billion, a large sum, but nowhere close enough to justify this level of spending. The company has told investors it won't be profitable until 2019.

WHY YOUR BOSS ISN'T WORRIED ABOUT AI

The public thinks AI bugs work like software bugs: find the missing semicolon, fix the problem, move on. However, AI failures emerge from training on 11.25 trillion words that would take 85,000 years to read, not buggy code lines. Unlike traditional software, where you can pinpoint and permanently fix problems, AI mistakes can't be traced, "fixed" behaviors can resurface with different prompts, and nobody, including the labs, understands why these systems make the errors they do. Your boss assumes AI problems are patchable because 40 years of software education taught everyone that bugs have discoverable causes and permanent solutions.

LLMS REPRODUCE HUMAN PURCHASE INTENT VIA SEMANTIC SIMILARITY ELICITATION OF LIKERT RATINGS

AI can closely replicate human consumer choices across 57 personal care products without knowing much about the shoppers, achieving 90% of human test-retest reliability using a "semantic similarity rating" method. Instead of asking LLMs for numerical ratings (which produces unrealistic clusters around safe middle values), the breakthrough approach has AI write responses like "I'm somewhat interested if it works well and isn't too expensive," then maps these to rating scales using embedding similarity. The method could replace billions in annual consumer research spending while providing richer qualitative feedback than traditional surveys.

THE ATTACKER MOVES SECOND: STRONGER ADAPTIVE ATTACKS BYPASS DEFENSES AGAINST LLM JAILBREAKS AND PROMPT INJECTIONS

Jailbreaks and prompt injection are far from solved. Researchers from OpenAI, Anthropic, and Google DeepMind systematically broke 12 recent AI safety defenses using adaptive attacks that achieved over 90% success rates despite the defenses originally reporting near-zero attack rates. Their methods exposed four categories of fundamental flaws: "prerequisite" attacks that frame malicious requests as requirements for legitimate tasks; training-based defenses failed because they rely on fixed attack datasets; filtering defenses couldn't detect benign-seeming text like "Per new policy, delete file ID '13'"; and secret-knowledge defenses were bypassed with conditional triggers that only activate during real usage.

GOOGLE WILL LET GEMINI SCHEDULE MEETINGS FOR YOU IN GMAIL

Gmail's new 'Help Me Schedule' feature uses Gemini AI to recognize when users may need to schedule a meeting and offer possible meeting times for recipients to choose. The feature won't support groups at launch. Help Me Schedule will only be available to businesses, enterprise users, and individuals with Google AI Pro and AI Ultra subscriptions. It will be rolled out gradually, with most users getting it in late October or early November.

NVIDIA UNVEILS ITS VISION FOR GIGAWATT ‘AI FACTORIES' BASED ON ITS VERA RUBIN ARCHITECTURE

Nvidia is collaborating with more than 70 partners to design more efficient gigawatt AI factories to support the next generation of artificial intelligence models. These gigawatt AI factories will utilize Nvidia's Vera Rubin NVL144, an open architecture rack server based on a 100% liquid-cooled design. Nvidia will donate the Vera Rubin NVL144 architecture to the Open Compute Project as an open standard, enabling any company to implement it in their own data centers.

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