- Open-source Kimi K3 closes the frontier gap
- Rowan’s Corner: The most important AI skill to learn
- Use OpenAI's GPT-Live to plan any trip fast
- Google’s AI upgrade delayed over performance
- 4 new AI tools, community workflows, and more
- K3 features a 1M context window and beats both Fable and Sol on benchmarks for web research, spreadsheet work, frontend design, and long coding.
- The model also lands at a 57 on AA’s Intelligence Index, sitting behind just Fable (60) and Sol (59) and jumping double-digit spots from the previous K2.6.
- In one demo, K3 worked solo for 48 hours to design and verify a tiny chip that runs a mini version of itself, hitting 8,700 tokens a second in simulation.
- K3’s pricing matches Claude 5 Sonnet at $3/$15 per million tokens, with Moonshot saying the model’s weights will be published by July 27.
The Rundown: When WHOOP launched their most ambitious product yet, they didn't just want faster ticket resolution; they wanted to catch issues before they became tickets at all.With Unwrap’s AI customer intelligence, that's exactly what happened:- 50% faster root cause investigation on support tickets
- 4X drop in launch-day ticket spikes vs. their previous launch
- 24+ hours average saved getting ticket volumes back to baseline
Photo credit: Jamal Toppin for ForbesRowan: I did a keynote at the Forbes Under 30 Summit on the most important skill to learn right now. A decade ago, it was arguably code. Today, I believe it's what I call AI intuition: knowing when to use AI, and when not to.Let me explain…When we started The Rundown, there were hundreds of AI newsletters, and almost all of them let AI write their content. It made sense: an AI newsletter, written by AI. We did the opposite. We hired expert journalists and used AI for research, fact-checking, and structure, but never for the human part. Readers (like you!) still send me messages saying they can feel the difference.That was an AI intuition call. AI can already 10x my output in some areas, so I push it to its absolute limits there. But I still beat it at judgment, jokes, and knowing what matters to this audience, so that's the part I never hand over.Nearly every one of those AI-written newsletters is gone. And I think the next wave of successful companies and individuals follows the same pattern: not people brute-forcing everything with AI, but builders who know exactly which parts must stay human. The taste, the judgment, the personality. That's what people crave, not just in media, but in anything you build.When everybody is using AI for everything, AI intuition is your moat.AI TRAINING- GPT Voice is usually used in the ChatGPT mobile app. On desktop, open ChatGPT.com in your browser—not the desktop app—then start a Voice chat
- Let GPT-Live research in the background. Tell it the outcome first: “Plan a full [CITY] itinerary for [DATES]. Decide the hotels, restaurants, and things to do”
- Interrupt as the plan takes shape. Add a longer work block, reduce the budget, or ask for a weather backup. GPT-Live can keep researching as you direct it
- Use web research to verify pricing and availability. Then, close Voice and ask ChatGPT to give the final research as a memo that could be saved and shared
The Rundown: Slack is the agentic work OS — the open platform where developers build AI-native apps, automate workflows, and deploy agents directly where teams work. Whether you're building internal tools or enterprise-grade AI integrations, Slack gives you the APIs, infrastructure, and context to ship faster.In this guide, you’ll discover:- How to build and deploy AI agents inside Slack
- APIs and tools to connect any system to Slack's context layer
- Real examples of teams shipping AI-native apps in production
Image source: Images 2.0 / The RundownThe Rundown: Google’s long-awaited Gemini 3.5 Pro is facing more delays, according to a report from Bloomberg — with the tech giant currently lagging significantly behind frontier rivals and even getting surpassed by Meta, SpaceXAI, and top Chinese models. The details: - At I/O in May, Google told attendees to expect 3.5 Pro in June, then reportedly changed its training data after coding results fell short.
- Google has yet to launch a competitive new model since May’s 3.5 Flash, with its last ‘Pro’ tier model dating back to February and several generations behind.
- Current and ex-employees told Bloomberg that internal clashes slow releases, with Android, DeepMind, and Cloud teams each building their own coding tools.
- Google has also faced a series of employee departures to OAI and Anthropic, including Noam Shazeer, John Jumper, and other key Gemini staff.
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- Today’s AI tool guide: Use OpenAI's GPT-Live to plan any trip fast
- RSVP to next workshop today @ 2PM EST: Get knowledge work done with AI
Source: https://www.therundown.ai/p/moonshot-ki ... ontier-gap