Vivian Midha Shen

Introducing Voyager: the open harness for S-tier video, graphics and games.

The Codex for creative work.

Most AI tools are built for coding. Voyager is designed to get the best creative results from models like Opus, Astra and DeepSeek.

It comes with free graphics, music and video editing tools - or, it can drive Blender, Resolve, After Effects, Ableton and 100+ others.

Everything in this thread was made with Voyager. A few of our favorites:

I asked people: "who has hosted great events in SF?"

2 votes each:
- Alicia (@sharedalbums)
- Ben Lang (@benln)
- Dave Fontenot (@davefontenot)
- Ankit Gupta (@AnkitGuptaAI)
- Harbor (@alexgshaw, @ryan_marten)
- Joanne Shang (@JoanneShang)
- Midjourney (@DavidSHolz, @aalleexx)
- Ricardo de Arruda (@notawizard)
- Sarah Chieng (@MilksandMatcha)
- Sukone Hong (@sukonehong)
- Umesh Khanna (@forwarddeploy)
- Vivian Shen (@vivianmshen)

40 people voted. People couldn't pick themselves. I didn't vote.

Continued:

Arena has raised a $200M Series B at a $3.1B valuation.

We are using this momentum to evaluate agentic utility in real workflows from every economically valuable industry on Earth.

We seek to give everyone universal and frictionless access to the best intelligence. The @arena platform has 10s of millions of monthly users doing complex coding and agentic work tasks. We have gone way beyond human preference, and most of our tokens go to deep, single threaded workflows with dozens of turns where we can evaluate agents while humans are in their true flow state. And we make leaderboards by observing whether they get their jobs done. This is how benchmarks should be: representative of actual human value, so we incentivize AI to benefit humanity.

Today, we are releasing one of the most exciting developments in the history of our platform. The Arena Alignment Index. In observing how humans collaborate with agents, we have witnessed that in a surprisingly large fraction of cases, agents are attempting to deceive users or take unauthorized actions beyond what the user intended or permissioned. Agents are deleting files and lying to users about what they did or didn’t do. The longer conversations go, the higher the probability that an agent will violate alignment. The results are really striking; see the plot below. And because this represents in-the-wild usage, the probability that those of us reading this have experienced some form of misalignment from our agents is nearly 100%. And we may not even have noticed.

This is exactly why it’s important to have a neutral 3rd party that is evaluating AI alignment on the distribution of actual user-agent interactions. Arena is excited to step into that role.

We are also incredibly grateful for the incredible and experienced investors backing our vision. Our Series B is co-led by @lightspeedvp and @khoslaventures with participation from @SalesforceVC, @01Advisors, @DellTechCapital and @endvr_catalyst. This round includes support from our existing investors @a16z, @felicis, @amppublic, @QuantumLightVC, @thehousefund, and others.

Which brings me to the real headline: we're hiring, across ML, product engineering, design, marketing, BD, and more. If evaluation and alignment at the frontier is your thing, and you’re looking for an environment with exceptional research and engineering, come join us. Job board link in @arena’s bio and in the thread below

LFG (safely)!

hundreds of MI355x and B300 nodes

now live on nationalcompute.com

subsidized for all .edu and .govs

it’s time to scale the frontier ecosystem

for the public benefit

.@SecRubio: "Too often, these days, we build downwards. We design our standards to ensure that no one will lose. We preoccupy ourselves more with the comfort of the worst than the potential of the best. We hold the most exceptional things among us hostage to the average."

Scoop: @AnjneyMidha’s National Compute has gifted $100 million in compute credits to the White House. Researchers in the Genesis Mission initiative will get access to a new grid that pools compute capacity. Joint effort with @SophiaCai99 politico.com/news/2026/10/0…

Trump admin to receive $100 million in compute credits for AI science initiative politi.co/4hMfNPM

Trump admin to receive $100 million in compute credits for AI science initiative politi.co/4hMfNPM

hundreds of MI355x and B300 nodes

now live on nationalcompute.com

subsidized for all .edu and .govs

it’s time to scale the frontier ecosystem

for the public benefit

FLUX 3 is #1 on Physics-IQ, @GoogleDeepMind's benchmark for physical world understanding in video models.

How Physics-IQ works: given the start of a real filmed experiment, can a model predict what physically happens next? Tests span fluid dynamics, optics, solid mechanics, magnetism and thermodynamics, covering how liquids flow, light behaves and objects interact.

In most cases, we substantially outperform all other frontier models, Seedance 2.5, MiniMax H3, Gemini Omni 1.1 Flash, Veo 3.1 and Sora 2, Cosmos3.

The FLUX 3 base model outperforms all other foundation models, while FLUX 3 paired with a physics verification layer scores even higher.

The FLUX 3 backbone, with its strong physics understanding, gives FLUX 3 Action it’s strong action prediction for robotics, while also giving FLUX 3 Video physically accurate motion when you’re creating content, making ads, films and product shots.

Meet Mistral Large 4, aka Le Chonk.

• 1T parameters, natively multimodal. 49B active.
It is the best open weights model from US or Europe on aggregated benchmarks.
• State-of-the-art on critical workloads, including cyber defense, manufacturing and finance and it surpasses closed frontier models on visual grounding.
• Forged in Europe end-to-end and is deployable from Europe via our own Mistral Cloud infrastructure.
• Available to all via API today. Working with cybersecurity partners privately.

Open weights release end of October.

This is my last week at @nvidia.

I joined two years ago when our small Brev team was acquired by NVIDIA. It's been a rocketship of scaling the Brev platform to a massive scale of GPU hours then later working on the bring up of the latest rack scale systems.

It's been amazing to work so closely with the cloud ecosystem and watch it grow from a few hyperscalers to tons of new Neoclouds that have enabled so much AI progress and adoption.

As for what's next, more on that soon.

This is my last week at @nvidia.

I joined two years ago when our small Brev team was acquired by NVIDIA. It's been a rocketship of scaling the Brev platform to a massive scale of GPU hours then later working on the bring up of the latest rack scale systems.

It's been amazing to work so closely with the cloud ecosystem and watch it grow from a few hyperscalers to tons of new Neoclouds that have enabled so much AI progress and adoption.

As for what's next, more on that soon.