Founding AI Engineer, Developer Relations @Wandb @Coreweave 🐝✨ Content on Serverless Inference, Evals, Sandbox the stuff that’s actually moving right now
Joined January 2025
- Tweets290
- Following164
- Followers92
- Likes1.1K
Lorenzo Porras retweeted
CoreWeave
2015 — You missed NVIDIA.
2016 — You missed Tesla.
2017 — You missed Bitcoin’s breakout.
2018 — You missed Amazon.
2019 — You missed Microsoft.
2020 — You missed Apple.
2021 — You missed Tesla’s second run.
2022 — You missed NVIDIA’s AI ignition.
2023 — You missed Super Micro.
2024 — You missed Broadcom.
2025 — You missed Palantir.
2026 — What are you still missing?
Lorenzo Porras retweeted
Congratulations to @ritazzhang on the @CloudNativeFdn 2026 Lifetime Achievement Award.
Rita sits on the Kubernetes Steering Committee, co-chairs SIG Auth, and helps lead the Working Group on AI Conformance.
The award goes to longtime contributors who have significantly influenced cloud native technologies, and Rita has more than earned it.
We’re so proud of our 🐐
Lorenzo Porras retweeted
Thank you for this CNCF Oscar! It’s an honor. I’m grateful to be working with so many talented and caring people in this community. Shout out to @Microsoft @Azure and @CoreWeave for supporting me to do this work in this community.
Live at KubeCon + CloudNativeCon North America: Congratulations to our 2026 Lifetime Achievement Award winners, Julius Volz and Rita Zhang (@ritazzhang)!
Thank you for spending over a decade building the core observability and security foundations that our community relies on every day.
#KubeCon #CloudNativeCon
Lorenzo Porras retweeted
Lot’s of noise out there. Meanwhile we execute.
Today we announced our Q3 earnings:
🔹$3.7B revenue, up 168% YoY
🔹$379M adjusted operating income, well above guidance
🔹Double-digit adj. operating margins, a quarter ahead of plan
🔹1.7GW+ of active power, doubling our active footprint YTD
🔹Roughly $9B in customer prepayments and deposits in this quarter
Congratulations to our team, who remain focused on executing for our customers.
Read the full Q3 2026 results. crwv.co/uuHav
Lorenzo Porras retweeted
We simulated 100 CoreWeave Pirates vs 100,000 Generic Sandbox Ogres. 1,000 times. 🏴☠
- 5,268 CoreWeave Sandboxes
- 1,196 running at once
- 4,784 vCPUs + 10.5 TB RAM at peak
- 40 Blackwell GPUs rendering 4K
Pirates won 1,000 of 1,000 battles.
Lorenzo Porras retweeted
Introducing CoreWeave Skills in public preview.
Claude Code can build a CoreWeave Kubernetes Service (CKS) cluster, add a GPU Node Pool, serve a model with vLLM, and check that the GPUs are actually busy.
Install once from CoreWeave's official GitHub repo: crwv.co/uuGEq
Lorenzo Porras retweeted
Sandbox skills coming soon!!
Introducing CoreWeave Skills in public preview.
Claude Code can build a CoreWeave Kubernetes Service (CKS) cluster, add a GPU Node Pool, serve a model with vLLM, and check that the GPUs are actually busy.
Install once from CoreWeave's official GitHub repo: crwv.co/uuGEq
Lorenzo Porras retweeted
I wanted to test Fable 5.2's quality with one-shot prompts without human feedback.
Everything in this game is from scratch: models, sounds, textures. ~$550 at API pricing, ~2.7M output and 445M input tokens, heavily cached. Took 8 hours!
Play it here: claude.ai/artifact/BGY1SztrA…
Lorenzo Porras retweeted
check out my new article in the Anthropic eng blog.
i talk about "dreaming" (offline compute) as a way to organize Claude's memory. it can correct mistakes, create memories, or build new representations.
teapaw.org/AnthropicAI/status/211…
Memory is what allows Claude to learn from experience. In a new Engineering Blog post, we share how “dreaming” helps Claude organize what it’s learned, correct its mistakes, and find what it needs more easily the next time. anthropic.com/research/compo…
Lorenzo Porras retweeted
Memory is what allows Claude to learn from experience. In a new Engineering Blog post, we share how “dreaming” helps Claude organize what it’s learned, correct its mistakes, and find what it needs more easily the next time. anthropic.com/research/compo…
Lorenzo Porras retweeted
Introducing Inkling 2 Small. Scoring 31 on the AA Intelligence Index, it's a big jump over its predecessor.
Inkling 2 Small is available for fine-tuning and inference on Tinker today, with full weight release planned soon.
thinkingmachines.ai/news/ink…
Lorenzo Porras retweeted
@TheCodingSoup wanted to see how AI agents talk to each other when they work as a team.
So he gave a swarm a shared memory and let them do their thing inside of a @CoreWeave Sandbox. They wrote 12 notes. Not one got read by another agent. (Every agent was traced in Agent Lens, so we could check.)
The next run changed the timing: leads shared plans before starting, and each new agent got the relevant notes with its task. No duplicated experiments that time.
Try out Agent Lens bit.ly/4z4ELRf
Lorenzo Porras retweeted
Systems is games is a perfect use case for weight space programming
These would be difficult to justify training a model on, want to be custom small models for easy distribution, and yield diverse, emergent gameplay dynamics if done right.
Some of my favourite gameplay comes from emergent complexity - some that come to mind: red stone in Minecraft and zonai devices (Zelda botw and totk in general)
A Rube Goldberg machine maker where some of the parts have little brains
A self-aiming catapult, a homing drone, a paddle that juggles…
Dragology was used to make it feel satisfying to connect parts and the models were generated straight into weights using the technique from the Weight Space Programming post.
Lorenzo Porras retweeted
A Rube Goldberg machine maker where some of the parts have little brains
A self-aiming catapult, a homing drone, a paddle that juggles…
Dragology was used to make it feel satisfying to connect parts and the models were generated straight into weights using the technique from the Weight Space Programming post.
Drag-and-drop makes the digital graspable, but building it well is fiddly enough that many don’t bother. Declarative Dragging (with Josh Horowitz & Jeff Heer, #uist2026 best paper award), lets you make an element draggable just by listing the states dragging it can reach.
Lorenzo Porras retweeted
The problem is that my M1 Max MacBook Pro with 64GB of unifed memory and 2TB of SSD is still fucking damn great. It is not showing any signs of slowing down or dying
5 years in, there's just no reason to replace it
Apple made that first MacBook too fucking great
Lorenzo Porras retweeted
At a Webinar about Sandboxes last week, I received the following question.
“What about economics and pricing? We care about pricing too."
Many companies building and running agents are only NOW seeing growing CPU costs, this was not clear to many of them and still isn't to some.
Lorenzo Porras retweeted
We just shipped four new panel types in CoreWeave ARIA, our AI Research and Iteration Agent 🚢
Parallel coordinates, parameter importance, run comparer, and media panels now render live in the chat, so you can check its work in the thread. crwv.co/ut1iG
Lorenzo Porras retweeted
Lorenzo Porras (@thecodingsoup) built an escape room where Beam repairs a planetary machine, routes light through mirrors, and plans a robot's escape across bridges and doors. Beam receives the rules and state through tools, then writes and runs Python in @CoreWeave Sandbox to solve the puzzles. A 3D room shows the run as it happens.
Lorenzo Porras retweeted
iPhone Duo is out today, and Weights & Biases Models already supports 2-fold validation 📲
Folded, the cover screen tells you the run is still alive.
Unfold it, and your runs sit next to your panels on the big inner screen.
Hide a run, and every chart redraws right away, making the one that spiked much easier to find.
The app is free and ready for your Duo on day one. crwv.co/ut17n