Spending a few weeks in SF makes the information gradient obvious:
labs → SF startups → X → Europe → traditional companies
Each step is months behind the one before it.
Sitting in SF building for a legacy industry is the easiest (and totally real!) edge right now.
built my own version of after effects native to agents.
- the agent produces motion in fully editable layers and it can improve the tool itself by adding new features or controls on the fly.
- each project becomes its own version of the tool, with custom extensions, layers, or effects that the agent implements.
- native macOS app, so it can handle high resolutions and complex workflows with dozens of layers/effects.
planning to open-source, dm if you want to give it a try!
My agents now behave like my best hire:
→ full context, written down
→ 2–3 options
→ a clear recommendation
→ waiting for my call
I just open one page and make decisions.
We built the strongest attention-free base LLM, Brumby-14B-Base, for only $4,000.
This is just a base model, but for the first time in 2 years, I'm seeing light at the end of the tunnel for the field to switch to an alternative architecture to transformers.
🚨 Introducing the AI Apps 50: Startup Edition
Ever wondered how startups are spending their money when it comes to AI?
Our team at @a16z worked with @mercury to crunch the numbers and rank the top applications by spend.
The list + what we learned from it👇
Today, we’re releasing Power Retention, a new architecture beyond Transformers.
It enables LLMs to handle millions of tokens efficiently, unlocking long-context applications that were too costly before.
https://t.co/Mdrgz3uBVX
i’m using @interaction for it because it has (1) memory and (2) push notifications.
i explore topics and ask it to create flashcards with what i want to remember directly on whatsapp. then every day 8.30 am it sends me a notification with the first flashcard.
as i practice and new questions arise i explore them in the middle of the session and create new flashcards.
the workflow does change a bit, instead of having lots of micro-flashcards on one topic like @michael_nielsen recommends, i use fewer and higher level flashcards, and i may do a 30s voice message to answer one, and then get feedback on details i got wrong or missed
it feels less like flaschards, and more like my mum questioning me before an exam when i was in school about a topic she understood well