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The Daily AI Show

von The Daily AI Show Crew - Brian, Beth, Jyunmi, Andy and Karl

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  1. Are We Prompting New AI Models the Wrong Way?

    The episode opened with Brian returning after two days away, then Andy picked up the cybersecurity thread from the prior show. The hosts discussed Anthropic’s new Claude Code security plugin, which uses agents to map a code base, build a th

  2. Is Google's Latest Drop Good Enough?

    The episode opened with Google’s new model releases, including Gemini 3.6 Flash, Gemini 3.5 Flash Cyber for governments, Gemini 3.5 Pro partner testing, and Gemini 4 pre-training. The hosts then connected Google’s model work to Ineffable In

  3. OpenAI Pauses Model After Sandbox Escape

    The episode opened with Kimi K3, Qwen 3, and the practical limits of open weight frontier models. The hosts discussed why these Chinese models may be cheaper to use through hosted inference, but still require massive data center resources t

  4. Qwen 3.8 Max Challenges Kimi K3

    The episode opened with the impact of Kimi K3 and Alibaba’s new Qwen 3.8 Max model. The hosts discussed whether the latest Chinese open weight models are now reaching or passing frontier-level coding performance, while also warning that ear

  5. The Relief Trap Conundrum

    The first useful elder-care robots will probably look like a helper. They will lift a parent from bed at 2:13 in the morning. They will steady a walker, fetch a dropped phone, sort pills, warm soup, change sheets, wipe a counter, open a jar

  6. Kimi K3 Shakes Up Coding Models

    The episode opened with the Neo robot hand and the next Conundrum topic, elder care. Brian framed the new hand as more than a cool robotics demo, arguing that better tactile sensing, pressure control, and human-like dexterity could matter i

  7. Inkling, Codex Micro And Robot Surgeons

    The episode opened with the new Codex Micro device, a developer-focused keypad built for agentic coding workflows. The hosts discussed who the device is really for, whether it helps professional developers more than casual AI builders, and

  8. Jony Ive’s Screenless AI Device Emerges

    The episode opened with AI’s growing pressure on enterprise technology spending, including IBM’s revenue warning and the possibility that companies are delaying traditional mainframe purchases so they can reserve capital for AI infrastructu

  9. AI Productivity Addiction

    The episode opened with frustration around GPT-5.6, especially Sol, and why stronger models may require clearer goal prompts, tighter constraints, and better success criteria. The hosts compared Sol, Terra, and Fable, then discussed why Fab

  10. Apple Sues OpenAI, Meta Rolls Back Muse, and AI Cheating

    The episode opened with Apple’s lawsuit against OpenAI over alleged theft of confidential AI hardware information. The hosts discussed why talent movement, trade secrets, and AI hardware competition raise higher stakes as companies race tow

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