Amjad Masad on what's top of mind: “Now that building is easy, we’ve been increasingly focused on getting entrepreneurs to market, helping them reach their first customer and first dollar. Whop is one of the best places on the intern...”
Guillermo Rauch: “WordPress on @vercel Fluid with Active CPU from a single 𝙳𝚘𝚌𝚔𝚎𝚛𝚏𝚒𝚕𝚎.𝚟𝚎𝚛𝚌𝚎𝚕. MySQL on @planetscale.”
Google Labs: “Every good chord progression needs a resolution. 🎹 To focus on building @GoogleFlowMusic - our tool for creating, sharing, and remixing original music - we will be saying a fond farewell to MusicF...”
Zara Zhang: “HOW TO BUILD A SKILL You don't START with a skill. You END with a skill.”
Today's featured podcast: AI & I by Every — “The AI Workflows Behind Every's Consulting Team”
for what it's worth, i only invite double-length track keynotes when I'm very sure that both speaker and content deserve it. Today, @chrmanning and @abshkbh did double duty at AIE and by all accounts* people loved the opportunity to go deeper on sandboxing and world models. Look at this insane room - and the online audience is going to be >1000x this!!
*i unfortunately have to do show duties so rely on secondhand accounts
Google’s home for our latest AI tools and experiments.
Every good chord progression needs a resolution. 🎹
To focus on building @GoogleFlowMusic - our tool for creating, sharing, and remixing original music - we will be saying a fond farewell to MusicFX and MusicFX DJ on July 31, 2026.
These early experiments pushed the boundaries of AI for real-time music creation, and we're taking everything we learned from them to provide a long-term home for musical projects.
Keep jamming at https://t.co/3XMUc2pkzU 🎵
Now that building is easy, we’ve been increasingly focused on getting entrepreneurs to market, helping them reach their first customer and first dollar.
Whop is one of the best places on the internet to monetize your creations — and now you can sell your Replit apps on there. https://t.co/lEGZGn51Wg
ceo @box - your business lives in content. unleash it with AI
If you’ve ever wondered why we will need 100X more AI inference in the future, and what it’s going to be driven by, this is another good example.
Devin pushes forward an idea of agentic mapreduce, which means we’ll now have swarms of agents that are processing large amounts of data (code) to handle tasks that humans never could have done before.
“Devin maps relevant signals across the repo, fans out focused agents over bounded shards, reduces their findings into one report, then verifies serious vulnerabilities in isolated sandboxes before marking them confirmed.”
In this case it’s code security, but there are tons of other use-cases in code and knowledge work. We see this at Box with customers that want to process and understand millions of documents for risk, insights, relationships, and more. This will play out in pharma, banking, and many other industries across all forms of unstructured data.
As an aside, these types of capabilities are generally only possible when you can deploy a variety of models (both the frontier and lower cost) because of the sheer amount of tokens that go into these use-cases. This is going to be a major value proposition for the applied AI layer.
