Founding AI Engineer, Developer Relations @Wandb @Coreweave 🐝✨ Content on Serverless Inference, Evals, Sandbox the stuff that’s actually moving right now
Joined January 2025
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During @reflection_ai’s private preview of Beam, I built a haunted escape room to put its coding and reasoning to the test.
I created a game called “Code Your Way Out”, and it's one room with three linked puzzles. Beam has to repair a brass orrery by lining its rings up with a constellation, route the light, then program its escape through a sealed hatch.
Beam never sees the room. Each turn, it gets text observations and writes Python; the code runs in a @CoreWeave Sandbox, and the game engine validates every action before the explorer robot moves.
Beam was out in about 30 seconds. Super bullish on this model and really excited to see builders get this model in their hands.
Lorenzo Porras retweeted
🔦 Beam, Reflection's first model with open weights, is live today on CoreWeave Serverless Inference.
Call it through an API and leave the GPUs to us.
We are also proud to share that @reflection_ai used @wandb in CoreWeave Forge during Beam's training.
Developers in the private preview have been calling it fast and accurate, and they like that it doesn't ramble.
See what @TheCodingSoup on our team built with private preview access below.
Get started with Beam here: crwv.co/utuxk
Its out!
Try @reflection_ai Beam on @CoreWeave serverless inference!
If you also get a chance check out the demo I built that is on the launch page, and pinned on my X as well!
🔦 Beam, Reflection's first model with open weights, is live today on CoreWeave Serverless Inference.
Call it through an API and leave the GPUs to us.
We are also proud to share that @reflection_ai used @wandb in CoreWeave Forge during Beam's training.
Developers in the private preview have been calling it fast and accurate, and they like that it doesn't ramble.
See what @TheCodingSoup on our team built with private preview access below.
Get started with Beam here: crwv.co/utuxk
👀👀👀
New model dropping soon on @CoreWeave Serverless Inference 👀
CoreWeave Agent Lens (@weave_wb) tracing built in.
Interesting rundown of where benchmarking stands and what benchmaxxing actually looks like in practice.
Moritz Hardt thinks that OpenAI and Anthropic’s claims about benchmarks, which are used to test AI models’ capabilities, are misleading. But if the tests aren’t accurate, then how do we know how good the models really are? Read the interview: quantamagazine.org/he-wants-…
Beam is a lot of fun to work with. Checkout my pinned post on how I used it for an escape room!
Beam is now available across platforms, with open weights under the Apache 2.0 license - in collaboration with an ecosystem of 40+ partners.
We're releasing:
- Weights, tokenizer, and reference implementation
- BF16, FP8 and NVFP4 weights and a DFlash2 drafter
- The open source harness we built and trained Beam on: Mirror CLI
Weights and model card on Hugging Face: huggingface.co/reflection
Beam is now available across platforms, with open weights under the Apache 2.0 license - in collaboration with an ecosystem of 40+ partners.
We're releasing:
- Weights, tokenizer, and reference implementation
- BF16, FP8 and NVFP4 weights and a DFlash2 drafter
- The open source harness we built and trained Beam on: Mirror CLI
Weights and model card on Hugging Face: huggingface.co/reflection
Lorenzo Porras retweeted
Beam is now available across platforms, with open weights under the Apache 2.0 license - in collaboration with an ecosystem of 40+ partners.
We're releasing:
- Weights, tokenizer, and reference implementation
- BF16, FP8 and NVFP4 weights and a DFlash2 drafter
- The open source harness we built and trained Beam on: Mirror CLI
Weights and model card on Hugging Face: huggingface.co/reflection
Lorenzo Porras retweeted
Beam weights have dropped along with incredible ecosystem support! What are you going to build with Beam! Lessgo! 🚀🚀🚀🚀
Beam is now available across platforms, with open weights under the Apache 2.0 license - in collaboration with an ecosystem of 40+ partners.
We're releasing:
- Weights, tokenizer, and reference implementation
- BF16, FP8 and NVFP4 weights and a DFlash2 drafter
- The open source harness we built and trained Beam on: Mirror CLI
Weights and model card on Hugging Face: huggingface.co/reflection
Lorenzo Porras retweeted
Today we’re releasing Muse Spark Open, the most capable US open-weight model to date.
Built for coding and agentic work, it excels at long-horizon tasks, complex software engineering, and multi-step reasoning.
Key Model Specs:
→ 816B total / 42B active parameters
→ 1M token context window
→ Natively multimodal across text, image, video, audio
Finally... 😭😭😭
I'm so sick of juggling sessions across 10 terminal tabs with zero idea what's running where side by side might actually make the desktop app usable.
And yet another model releases 👀
We are releasing Ultramarine 1 Flash, a frontier-class model built for knowledge work. It is open-source and achieves similar performance to Fable 5, while being 60x cheaper.
It was post-trained by a team of 5 for ~$300k all-in. Available on API now, with weights releasing in 2 weeks.
Gave an AI five functions and a tiny island.
It walked into a hole.
Now it has to collect the gems, build the bridge, and reach the portal.
Running on @CoreWeave Sandbox: one deploy script, a public endpoint, set to stay up for 30 days.
8765-aec58cb9-9d65-4e5e-ace7…
Which model would you try? 👇
Lorenzo Porras retweeted
lol you think we just rent GPUs?
@deok_filho would like a word.
CoreWeave Forge runs Serverless Inference, Serverless RL, fine-tuning, Notebooks and Sandboxes, all available today.
Try CoreWeave Forge Pro free for 30 days: crwv.co/utcVG
Lorenzo Porras retweeted
Submit this form if you'd like to use Serverless GPU Sandboxes!
forms.gle/QQ1tF8NtaMPqa9eP9
