Register and share your invite link to earn from video plays and referrals.

Kristina Shen
@kshenster
MP @chemistry, former GP @a16z & @bessemervp. Mom of 3 naughty kiddos =)
1.2K Following    11K Followers
It's the age of compute! Excited to partner with Ronit, Aarav, and the whole Liquid Compute team
Pink elephants in the @WSJVC this morning. Achievement unlocked! h/t @mstrozier
Deployments deployments deployments! In the heated robotics battle, @SkildAI sure seems to be the front-runner in getting robots live. Exciting new development every week...
Huge congrats to @loubohan for a very well deserved promotion to partner :)
Congrats to @loubohan on his partner promotion at @chemistry! Curiosity is his superpower, so we decided to make him a Wikipedia page to honor the milestone. cc @kshenster @ethankurz
Show more
Some of the coolest roles in finance for physical AI
Atoms Finance is hiring. We’re expanding the team to support our growth. Controller - Senior Director, Financial Operations - Senior Director, Technical Accounting - Vice President of Finance Technology - DM me if you or someone in your network is a good fit. Happy to connect you directly with the team.
Show more
Simulation is one of the ways to solve the huge demo to production gap in robotics! congrats to @HarryMellsop and the @antiochrobotics team
I’m proud to announce that Antioch has raised $32 million in Series A funding, led by @GreylockVC with participation from @A_StarVC, @Category_VC, @BoxGroup, @IcehouseVenture, and angels. Physical AI is the defining technological and economic opportunity of our lifetime. Rapid advancements in intelligence and compute have brought us right to the precipice of this new era. What’s holding the industry back is development speed — iteration is hardware-bound, testing is slow and costly, and data is scarce. We founded Antioch with the belief that scaled, high-fidelity simulation is the solution, and will push us into the physical AI age. Autonomy teams use Antioch to accelerate development, test and validate their systems at scale, and generate massive quantities of synthetic training data. We’ve seen the development velocity that Antioch brings to advanced manufacturing, humanoid robotics, smart security, model training, and more. Now, we’re scaling rapidly to put Antioch in the hands of every autonomy team. Thank you to the wonderful customers, investors, partners, friends, and family who are on this journey with us. Read about what we’re building in @Forbes (link in first reply) and tune into @tbpn today at 3:35pm ET to hear more. We’re hiring across simulation, infrastructure, machine learning, 3D graphics, go-to-market, and operations.
Show more
A very honest take on the venture market today!
The venture market is increasingly bifurcating into two camps: massive consensus bets and contrarian companies as far from the heat as the dark side of the moon. There will be gems - and false gold - in both.
Show more
Robotics people: the supply chain and manufacturing problems Atoms is tackling are some of the most fun out there. They're hiring; worth a look.
Excited to share that we're expanding our Supply Chain and Manufacturing teams at Atoms. Head of Supply Chain, Transport Head of Quality Senior Buyer If you or someone you know is a fit, my DMs are open. I’d be happy to connect you with the team. Links below in comments.
Show more
General-purpose models can't solve every physical task, yet. That's not a limitation, it's a window, and the window belongs to the builders. The curves will converge — model companies deploying, deployment companies building intelligence — but what you own when they do is decided now
Show more
It's been a hot robot summer 🤖 Robots can now drive cars, fold laundry, and cable data centers. But the gap between 95% and 99.9% task success is the gap between a demo and a business. Our take on physical AI, and where the $40T market gets won
Show more
You can switch from Cursor to Claude on a whim. You can't switch out an installed robot fleet. In physical AI, the difficulty is the moat.
It's been a hot robot summer 🤖 Robots can now drive cars, fold laundry, and cable data centers. But the gap between 95% and 99.9% task success is the gap between a demo and a business. Our take on physical AI, and where the $40T market gets won
Show more
Three approaches are racing to build robotics' data flywheel: foundation models (@physical_int @GeneralistAI @SkildAI), deployment-first (@UltraRobotics @FoundryRobotics @WatneyRobotics), full-stack (@RhodaAI @SundayRobotics @MindRobotics @WaldenRobotics). We think all three produce generational companies.
Show more
It's been a hot robot summer 🤖 Robots can now drive cars, fold laundry, and cable data centers. But the gap between 95% and 99.9% task success is the gap between a demo and a business. Our take on physical AI, and where the $40T market gets won
Show more
Digital AI automates cognitive work — a ~$6T opportunity. Physical AI goes after everything done with hands and machines: ~$40T. The biggest technology transition in modern history is 7x larger than the one we're living through now.
Show more
It's been a hot robot summer 🤖 Robots can now drive cars, fold laundry, and cable data centers. But the gap between 95% and 99.9% task success is the gap between a demo and a business. Our take on physical AI, and where the $40T market gets won
Show more
It's been a hot robot summer 🤖 Robots can now drive cars, fold laundry, and cable data centers. But the gap between 95% and 99.9% task success is the gap between a demo and a business. Our take on physical AI, and where the $40T market gets won
Show more
The band is coming back together… the epicenter of the brain trust is activated…
0
49
1.3K
31
Forward to community
.@GGuptaSF is back in build mode! Building a safer future for our three kids by bringing autonomy (or what our kids call "robot cars") to the world. So incredibly proud to cheer Gautam on as his wife (and investor 😜) as he rejoins @travisk at Atoms as CFO.
Show more
Excited to share that I have joined Atoms as CFO!
Everyone in the Valley has a take on whether China is winning AI, robotics, and biotech. Almost nobody understands how the capital works Notes from meeting China's tier-1 investors and founders on how their venture ecosystem actually works.
Show more
0
80
852
137
Forward to community
Today Atoms announced a $1.7B round led by @a16z, and @Chemistry is in with the largest check in our firm's history. Why? The next chapter of AI will be defined by its impact on the physical world. Over the coming years, AI will transform the way we build things, make things, and move around. At Chemistry, we are laser focused on the businesses at the forefront of this trend. As AI moves from the digital world to the world around us, it will have a profound impact on the way we live. Bringing AI into the real world will not be easy, and requires a founding team as compelling the opportunity itself. Who better than @travisk, @antlevandowski, @GGuptaSF, with their unique combination of experience and vision, to make this happen. Congrats to the whole team, the robots are reporting for work. 🤖 More on why we invested, link below.
Show more
Unfinished business indeed. I had a front-row seat to @travisk building Uber — now he, @antlevandowski, and @GGuptaSF are finishing the bits-to-atoms arc. As @chemistry leans into physical AI, this is the team and the trend to back: the largest check in our firm's history, and the largest I've ever written. The Age of Atoms starts now. 🤖
Show more
DeepSWE is exactly what benchmark design should look like. Writing tasks from scratch so no model has seen the solutions during training = actual signal. Big props to @datacurve!
We've updated the Artificial Analysis Coding Agent Index, replacing SWE-Bench Pro with Datacurve's DeepSWE benchmark - the swap lifts Codex with GPT-5.5 (xhigh) above Claude Code with Opus 4.8 (max), while the newly released Claude Fable 5 (max) in Claude Code debuts at the top DeepSWE, built by @datacurve, writes its tasks from scratch rather than adapting them from public GitHub issues or pull requests, so no model has seen the solutions during training. That matters because SWE-Bench Pro, the benchmark it replaces in our Coding Agent Index, had grown gameable, with some models recovering the fix from the repository's commit history instead of solving the task. The swap reorders the index: Codex with GPT-5.5 (xhigh) rises from 65 to 76, overtaking Claude Code with Opus 4.8 (max) at 73. Claude Code with Fable 5 (max), which enters directly on the refreshed index, leads at 77. SWE-Bench Pro had been flattering some combinations and penalizing others. More below.
Show more
Fun to part of such a talented a16z ecosystem to form such a legit group of new managers =) Congrats to @sumeet724 for launching @Worldbuild Proud to building alongside great friends @ljin18, @katie_haun, @rexsalisbury, @anneleeskates, @MichelleVolz, @vijaypande, @AnjneyMidha, @AriannaSimpson, @kirbyman01 Thanks to @alexrkonrad who always does the best research
Show more