Day 3 with Fable.
Gave a huge prompt to implement a feature across CLI, web server, and another server to both Fable and deep^2 in Amp.
deep^2 was done before I went to the gym. It stopped short. Sent another prompt. $20.
Fable ran for 1hr40min and cost $350.
Results:
They both understood the assignment and built the same thing. Maybe that's due to my prompt.
Fable's worked on first try. Well done.
Deep's looks correct but didn't work on first try.
$20 vs. $350.
I'm sure I could get deep^2 to make it work and we'd end up at, what, $40? While Fable is now at $457 after I asked some follow-up questions.
SpaceXAI will provide @AnthropicAI with access to Colossus 1, one of the world’s largest and fastest-deployed AI supercomputers, to provide additional capacity for Claude → https://t.co/nfDR9S822L
Today, we're announcing Heaviside, our foundation model for electromagnetism.
Trained on tens of millions of designs and over 20 years of proprietary simulation data, Heaviside predicts electromagnetic behavior from geometry in 13ms, which is 800,000x faster than a commercial solver.
Heaviside is not a language model, and it’s not a surrogate model. Heaviside marks a new class of foundation model for physics which understands the fundamental relationships between materials, the geometries and the electromagnetic fields they generate.
We’re releasing a research preview of Heaviside in Atlas RF Studio, an interactive agentic sandbox where you describe the EM behavior you want and the model generates the physical structure that produces it.
@arenaphysica , we believe the implications of this class of model extend well beyond RF, as the frontier of exquisite hardware is electromagnetically-governed: wireless communication, radar, power delivery, high-speed computing, and the interconnects inside every chip on earth.
In the months ahead, we’re excited to scale up Heaviside to broader frequency ranges, design spaces, and to support silicon-level designs, and deploy it with our closest partners and collaborators in service of their biggest design challenges.
If you’ve read our thesis, this is just Step 2 in our pursuit of electromagnetic superintelligence.
Read the full announcement and try Atlas RF Studio…tell us what you think: https://t.co/oCOsJQvF1h
Introducing Arena Physica.
For years, we've been quietly building alongside the teams defining the frontier of hardware — embedding with @AMD in AI compute, @anduriltech in defense technology, @BauschLomb in advanced manufacturing, and @SiversSemicond in satellite and 5G communications.
Atlas, our platform for agentic hardware workflows, is only the beginning. We believe a new class of foundation model will let humans push further into the physics that shapes our world but remains fundamentally unintuitive to us.
Read our thesis here: https://t.co/tmRxPcWrRi.
Thank you to @packyM for capturing why electromagnetism secretly runs the world - and what it means to build electromagnetic superintelligence.
Our foundation model launches in 7 days. Link in the comments to be first to know.
I’ve tried doing real work on large codebases / working with a team on Claude Code. It’s beyond useless for both of those use-cases compared to Amp, which uses Opus 4.5 as its main coding model. Of course it costs us way more than a bunch of Max subscriptions, but we’re way more productive with Amp than we would be with CC. I fully believe that CC is a consumer coding product - that’s not a bad thing, and people will use it to create cool things, but once you’ve used a harness like Amp it’s really hard to go back to something like CC or Codex unless you’re financially obligated to (and then I’d just suggest using Amp Free, which is ad supported and gives you $300/month in Opus 4.5 usage for free).
Happy Monday. On today’s show:
– @DougDeMuro (Cars & Bids)
– @_sholtodouglas (Anthropic)
– @alexstauffer_ & Alex Shevchenko (Ramp)
– @sqs (Sourcegraph)
See you on the stream.
A few days into this week, even after @FactoryAI and @AnthropicAI big launches, @AmpCode still has the highest merged PR success rates (it's my personal daily driver)
My prediction for the next two weeks is that Factory climbs up with CLI support and same with CC as 4.5 gets settled, but @OpenAI dev day might surprise us!
Plus who knows where @julesagent will sit here too once it's added