Fable 5 is the biggest step up I’ve felt in our models since Opus 4.5 back in November. After 4.5 came out I uninstalled my IDE when I realized that I’d been doing 100% of my coding in a terminal for a few weeks. With Fable, it’s felt like Claude has stepped up from being a coding agent to a thought and design partner in building the product. Fable has judgement, taste, and dimensionality in a way that previous models didn’t, leading me to trust it more with the most complex work.
I think the first time I had this realization was when I asked Fable to debug something. It is the first model I have used that was so methodical and precise, taking measurements and adding logs then verifying that it truly fixed the issue before declaring victory.
There’s nothing in claude code’s prompting telling the model to do that, it’s just part of its personality. It really has this “big model smell” that I haven’t felt before.
Mira Murati says human-AI collaboration needs models that can listen while they think:
"The types of models that we work with today, they're very turn-based. You talk, they talk, then they go off and think."
"While they're thinking, it's almost like they're deaf and blind. They cannot perceive anything else about what's going on."
"By contrast, our interactions with each other are very rich. There is a lot of information in our interactions when we are silent, when we're thinking, when we're interrupting one another."
"Interaction models are able to capture all of this nuance. They're not turn-based. They're more like time-based interaction, where they're continuously taking in audio, text, video, and continuously providing output."
"This enables you to catch things like interruptions and simultaneous speech, and really create a rich, high bandwidth interaction between humans and machines."
@miramurati at Bloomberg Tech live with @emilychangtv
@sytaylor@tryramp Loved your analysis, Simon! One thing that struck me is how they plan to measure and control token usage. If I understood correctly, that could save big tech companies billions of dollars in AI spending. I just wrote a piece on LinkedIn. Here: https://t.co/A3knkOoczP
The future of finance is here. Not just fascinated by the behemoth amount of the Series F round, but also by how @tryramp will measure the token usage and control it, saving billions of dollars and enhancing productivity. What excites you the most?
Today, Ramp raised $750M at a $44B valuation.
Last time we grew this fast, we were 1/20th the size.
For 2000 years, business was built on two pillars. Today, a third: intelligence.
It’s your least governed cost. It’s also your single greatest opportunity.
We've raised $65 billion in Series H funding at a $965 billion post-money valuation, led by @AltimeterCap, Dragoneer, @Greenoaks, and @sequoia.
This investment will help us advance our research and expand our capacity to meet growing demand for Claude.
I'm an accelerator, a founder house, a program.
The name doesn't matter, here is what I am:
8 weeks in San Francisco to build the foundations of a generational company
- non-US based founders
- pre-idea, pre-team
- 40 spots
- $250k investment for the best teams
what I cover: flights / housing / food / visa support / co-founder matching / personalised support / network access
by Entrepreneurs First
backed by Patrick & John Collison, Demis Hassabis, Daniel Gross, Nat Friedman, Reid Hoffman, Eric Schmidt & others
alumni have built: Cleo, Aztec Network, Gensyn, PolyAI, Neptune Robotics, Magdrive
Comment your edge ! Our next cohort is open now
People at major AI labs (using internal models) 3-4 months ahead of startup silicon valley engineers
SV founders/eng 3-6 months ahead of NY
NY founders/eng 6-12 months ahead of rest of world
Most people have no idea how fast AI shifting as 1-2 years behind SOTA
"The future is here, just not equally distributed" - Robert Heinlein
VC rejection excuses: •
• No moat
• Big labs will kill you
• Too much competition
• Valuation is too high
• TAM is too small
• Get a co-founder
• Not enough traction
• Your retention sucks
Translation: I don’t believe you’ll win.
Your reaction: Watch me.
Incredible…. The 2% of people using these tools are experiencing AGI, and the other 98% belief AI is a ChatGPT 3.5 result filled with hallucinations
One month is seven months of progress right now
There is no precedent for what we are experiencing