Rowan Trollope

First we had consumerization of IT Next will be consumerization of infrastructure This is the way

Great assessment! Since everyone can be a developer now (yay AI), dev tools and infra will be the next great consumer platform. The advantage will Accrue to the simplest and most reliable products. This has always been a core strength of @Redisinc

The AI and Agentic wave is here! We're growing at Redis and we're looking for the best people to join. For example: VP of Demand Gen. Come cook with us. redis.io/careers/jobs/v…

Making agents is easy. Making agents for real production use cases is hard. Many unsolved problems. What an exciting time to be working on infrastructure !

Agent memory is the problem of this decade. Will take transformer-level innovation to solve. We need multi modal large models which continuously learn I believe the unlock will be figuring out how to implement reference frames used in cortical columns (Hawkins)

When @karpathy mentioned that today’s LLMs UI’s are the 60’s level green screen terminals - it made me think about @rauchg @v0 latest UI which is moving in the right direction. So much easier to graphically change layout than trying to describe in English which is often really…

In my view, @elonmusk’s greatest contribution to humanity may be the example he sets as an entrepreneur —pushing the next generation to rethink what’s possible. youtu.be/H0ALAvfmdFU?si…

Here's how Gemini 2.5 Flash-Lite writes the code for a UI and its contents based solely on the context of what appears in the previous screen - all in the time it takes to click a button. 💻 ↓

Multi-agents systems are the next frontier of AI applications. At Anthropic, we found that multi-agents beat single agents by up to 90%+ on some complex tasks. We wrote a blog post detailing practical tips for building multi-agent systems based on our own experiences:

“Agents typically use about 4× more tokens than chat interactions, and multi-agent systems use about 15× more tokens than chats.” The world needs Redis Langcache our next gen prompt caching service for LLMs sign up for private preview : redis.io/langcache/…

Try Claude 4 at 7am vs 2pm. 7am its snappy and responsive. 2pm its dead in the water. Slow and times out constantly.... Rate limiting and other tricks seems to be in place to handle the load. Inference compute will be one of the defining problems of the Agentic era

> be apple > richest company in the world, every advantage imaginable > go all in on AI, make countless promises > get immediately lapped by everyone > 2 years into the race, nothing to show for it > give up, write a paper about how it's all fake and gay and doesn't matter anyway

Mark always provides a fair and balanced view of events. Highly recommend

Vector Math and Vector visualizations with Redis Vector Sets @redisinc @antirez youtu.be/UdaBWTW4BjE?si…

I don’t like reading things that people have written with AI.

As devs get automated with agents, we will have to automate dev managers: the job involves coordinating a bunch of devs in a single code base so that don’t step on each others toes all the time And: * finding out who broke the build and shaming them 😂 * resolving developer…

Offices for OpenAI, Anthropic, Notion, Cursor, Clay, Harvey, Databricks, Sierra are all in walking distance of each other. Downtown SF is turning into the global AI district.

Woke up early this Sunday in San Francisco. The streets are empty, fog hanging low. Dead silent except for Waymos gliding through the mist like sharks in the quiet. The future doesn’t knock, it just shows up.