I'm hiring my next Chief of Staff. You won’t know every field I work in. What matters is how quickly you learn, the questions you ask, and whether you can think from first principles. You’ll help evaluate opportunities and work with founders building consequential companies. Technical background preferred. Three-year commitment. Menlo Park, in person. Apply: jobs.ashbyhq.com/khoslaventu…

a live look at the life of David testing all of these iMessage only AI assistants today's prompt: buy me flowers, the cheapest you can find. guest checkout. same day delivery to [ADDRESS]. no questions, just send me what you find and give me approval to pay this dimension tests two variables: 1/ how good is its search 2/ can it place the purchase fully through the results (outside of one happy gf with loads of flowers!!): 🥇 Instinct - was the quickest to find the cheapest option available and completed the purchase 🥉 @kickerai - was able to successfully purchase a cheap option via Amazon (though it did require installing a chrome extension for their browser use) 🥈 @thesznai - was able to find a different cheap option (more expensive than Instinct & Kicker) and complete the checkout 👍 4 different ones required anywhere from 1 to 4 additional prompts to find a relatively cheap option. Once found, they were able to complete the checkout 👎 5 different ones required prompting to find the cheapest option but were not able to complete the checkout hit me with tasks you'd want tested across the agents and i'll start adding these to Assistant Benchmark + creating reports!

Meta Muse's retention is out, and it's almost as good as ChatGPT! It's higher than ChatGPT at D7 (>30%) and just lower at D14 (22%). Not quite in the elite D14 tier of WA (67%) YT (59%) Insta (54%) or TikTok/Snap (37%), though. Muse is one of the highest retaining AI products!

Silicon Valley keeps building me a husband when what I really want is a wife lol I don't want an agent that only does one-off, random tasks that are nice but not life-changing: booking flights, making dinner reservations, or buying tickets I want an AI wife who knows what’s on the family calendar, remembers there’s a birthday party Saturday and we haven’t bought a gift then sends me options, realizes we’re almost out of diapers and buys them, knows which bills are coming up, remembers someone needs a dentist appointment and books it, figures out what the hell we’re eating all week and what we need from the grocery store, and generally keeps track of the 47 things that need to happen before anyone else even realizes they need to happen. So, who's building me an AI wife that carries the mental load instead of an AI husband that waits for me to give it a chore??

personal agent pitches should not be about dinner reservations they should be about 100s of school emails, endless signup forms, and 3 games and 2 birthday parties per saturday the PTA industrial complex is the killer use case

It may not seem like it from tech twitter but ~1/3 of Americans have not used AI and less likely to now than last year. They prefer humans, are worried about their privacy, and distrust AI

Today, we’re announcing Ternary Bonsai 2 27B. Based on Qwen3.8 27B, Bonsai 2 27B is 9x smaller than its full-precision counterpart while retaining 98.2% of its aggregate benchmark performance. Two months after the first Bonsai 27B release, the biggest change is quality. The footprint remains 5.9 GB, but the gap to full precision has narrowed materially, with particularly strong gains in agentic coding, multimodal reasoning, and long-horizon tool use. Ternary Bonsai 2 27B is available today under Apache 2.0.

CC the entire fam 🤝! Today, we’re announcing the new CC – an AI agent built for families to spend less time on logistics and more time together. You can now: 👤 Add up to 5 members to your CC agent ☀️ Start mornings aligned with a shared "Your Day Ahead" brief email 🗓️ Autosync schedules & to-dos with a shared Google Calendar and Tasks 💬 Coordinate in Google Chat with CC to offload relevant tasks (ie., crafting weekly meal plans, school supply shopping lists, etc) 📝 Delegate paperwork (ie., permission slips, forms, and more) for CC to complete under your direction 📌 Keep tabs on the details – CC remembers what applies to everyone (ie., family grocery lists, favorite restaurants) versus what applies to one person (ie., dietary restrictions, local timezones) Ready to keep everybody on the same page? Join the waitlist or upgrade your existing CC (US only, 18+): labs.google/cc

The hottest category in tech right now is AI assistants. The question is; who is going to win? Instinct raised at $2.5BN. Has Benchmark and Index behind them. Grok Bot is ripping with Elon and has the distribution machine of X. And then there is Town, one of the only ones that’s actually making real money from real businesses. Don’t write Zuck off. This will be his next play and integrated into every WhatsApp user’s product. I sat down with Town Founder, @jgreze to understand WTF is going on, who wins and who loses? Condensed my notes below! 1. We Have Passed the Point Where Humans Look at Lines of Code Software engineering has crossed a threshold where machines increasingly write and ship code into production under model-based guardrails. Outside critical security controls, humans will spend far less time reviewing raw code. The future belongs to systems that manage autonomous AI agents writing software, running tests, and validating their own work. 2. You Can Build at the Speed of Machines, but You Can Only Learn at the Speed of Humans AI development tools allow competitors to clone features in weeks, erasing traditional software head starts. But deep user feedback cannot be automated. While machines accelerate execution, true competitive advantage comes from maximizing human learning cycles and understanding customers faster than anyone else. 3. Why None of the AI Assistants Have True Product-Market Fit Today Despite immense market hype, no current AI assistant has achieved deep product-market fit with mainstream users. Most products still cater primarily to power users rather than everyday workers. Before worrying about moats, founders need to create frictionless experiences that resonate with the mass market. 4. Network Effects at the Agent Level Will Separate AI Winners Sustainable moats in AI assistants will come from multi-user network effects at the agent level, not single-player productivity. When autonomous assistants collaborate across teams to resolve queries and execute work, switching becomes increasingly difficult. Multiplayer workflows create organizational lock-in that personal assistants cannot replicate. 5. How Much of the Workload Stays at the Frontier Versus Open Weight? AI application margins depend heavily on how much work requires expensive frontier models versus cheaper open weights. Complex reasoning may still demand frontier intelligence, while routine tasks like scheduling and email tagging continue moving down the cost curve. Shifting 80% of workloads to open weights over time could create far more sustainable economics. 6. My R&D Is Just Spent Getting Product Parity With the Giants Competing with giants like OpenAI requires massive investment simply to maintain feature parity. Startups cannot rely on unique distribution if their underlying harness falls behind on core capabilities. AI assistants must invest heavily to match the execution speed and product depth of frontier teams. 7. Why Instinct Is Not a Competitor to Town Consumer assistants like Instinct focus on rapid acquisition through subsidized personal tools, while enterprise platforms build monetizable team workflows. Although their technical harnesses may overlap, their target ICPs and business models diverge sharply. Enterprise agents monetize by embedding collaboration directly into daily operations. (links below)

The family-focused AI assistant wants access to the details of your everyday life, but says it won’t use that data to train AI models or share it with others. spr.ly/6010B1hakC