Inference, training, routing, governance, and sandboxes are the building blocks of every AI product today. We’ve learned a lot from our customers about what it takes to build that system well: @OpenEvidence trains models that outperform the closed frontier, then serves them on Dedicated Inference. @datadoghq post-trains on Loops. @Opendoor routes every AI request across the company through Grid. This week we have three launches expanding our inference platform: - Grid: gateway, intelligent router, and guardrails for every model your company uses (launching tomorrow) - Sandboxes: stateful, VM-isolated environments for agents that scale to thousands of instances in seconds (launching Thursday) - Loops: serverless SFT and RL on open-weight models, deployable straight to Dedicated Inference (GA Friday) @amiruci, @saimaddali, @paul_s3i, and @oneill_c break down what we're launching. You might notice the visuals have a new look as well.

Large-scale RL has a problem: weight updates from trainers to samplers are slow and expensive We’re sharing weight teleportation: faster weight updates than existing intra-cluster techniques with internet speeds, enabling samplers anywhere (maybe even space!) Weight teleportation is so efficient (<0.23s sampler pause time, ~3s non-blocking compression + prepare), the bottleneck ends up being the GPU hardware’s decompression ASIC We unlock these gains by using GPUs for massively parallel compression of model weight changes, engineering a heterogeneous decompression and patching pipeline, along with other optimizations and overlaps. These techniques are co-designed with hardware-native features in NVIDIA’s Blackwell generation of chips We’ve open-sourced weight teleportation, so everyone can use it today

A few weeks ago, the Secret Service locked Jensen Huang, Elon Musk, Sergey Brin, Satya Nadella, Lisa Su, and Michael Dell in a room in Washington, DC. While they waited for President Trump, Huang—who chooses not to own a jet—complained about a recent commercial plane ride. It had no Wi-Fi. “Best way to sandbox an AI,” Musk said. “Put it on a Delta flight.” All six were about to receive national medals from the President. The ceremony was the idea of Michael Kratsios, Trump's chief science advisor. He is 39, a Peter Thiel protégé, and has worked for Trump every day of both terms. For decades, the office Kratsios runs was known mostly for reports on things like algae blooms. Kratsios himself was barely known in Trump's first term. Now he sits between the President and tech royalty. He is one of a handful of people shaping America's AI policy, and the White House's point man on nuclear, space, and quantum. In our latest feature, @harrytlambert shows how the fight to regulate AI and reform American science runs through his office.

Introducing Ampersand Tutor (&Tutor) - we trained a model to learn like people, then trained &Tutor to teach it On a widely-used tutor model eval, &Tutor performed best, showing how better models of people can help build AI for humans Available through our API - try it!

This is INSANE. Cisco’s president Jeetu Patel has given a 27-year-old engineer unlimited AI tokens to try to rewrite 98% of the company’s legacy code within 24 months, Fortune reports. Padmanabhan Krishnamurthy thinks he can do it with a two-person team. He has just four weeks to prove the approach.

Touring factories & labs is one of my favorite parts of this job. I could spend all day asking questions. This time we brought cameras. Field Trips starts with @RhodaAI, @ArborEnergyCo & @harbingermotors:

Episode drop! Serval CEO @jakeserval Topics: *why haven’t systems of record been replaced in the era of ai codegen? *taking on the elephant ServiceNow *can IT write code? *the power of the IT user *FDE at Serval *personal vs work agents *background agents

We raised a $150M Series C at a $3B valuation, led by @sequoia. Our third round in 12 months, bringing our total funding to $277M. Our team has grown 10x in the last 12 months. We now serve Fox Corporation, WPP, Live Nation, Lucid Motors, and Ramp, and many of them are fully replacing legacy platforms with @getserval. AI coding tools have transformed how engineers work. Serval brings that same power to every team, so anyone can build governed automations across the systems they already use. We’re hiring 500+ people over the next year and expanding in San Francisco, NYC, London, Austin, and beyond. If you’re down to take on legacy enterprise systems and transform how teams work, my cofounder @AlexAtServal and I would love to meet you. It’s Serval now.

@get_aida is joining Harvey. @glean co-founder Piyush Prahladka, Atish Das Sarma, and their team will apply their search and machine learning expertise to help our agents organize and connect the information behind legal work. Read more: