Victoria⚜️Rege

Building | Investor @airstreet | Advisor @wealthbrite | ex @NVIDIA, @graphcoreai, @datarobot | je parle français |

[Victoria⚜️Rege @fleurdevie]

🚀Today we've launched Globeholder AI Thinking Lab™, an agentic platform to help companies make scientifically grounded decisions about complex physical systems.

We've integrated models from the @nvidia Earth-2 and @NVIDIAAIDev Cosmos families and are built on @awscloud 🌍

Join our Early Access program to be among the first to try it.

#PhysicalAI #ThinkingLab #Type2Intelligence #WorldModels #FoundationModels #AgenticAI

https://t.co/FbhpPSMg5b

[Equipe de France ⭐⭐ @equipedefrance]

𝐂𝐄 𝐓𝐑𝐈𝐎 🇫🇷😍

Ils totalisent à eux trois 14 buts et passes décisives depuis le début de la Coupe du Monde 🔥

[FIFA World Cup @FIFAWorldCup]

France's victory earns them a place in the Round of 32 💪

#FIFAWorldCup

[Y Combinator @ycombinator]

Startup School is coming to Paris 🇫🇷 on June 29!

Hear from founders like @lxbrun of @amilabs, @oliveur of @datadoghq, @kiwicopple of @supabase, @james406 of @posthog, and more.

Join the best builders and hackers from across France and Europe for a day of talks and sessions with YC partners.

[Nathan Benaich @nathanbenaich]

london's biggest week for tech starts in a few days!

excited to be hosting the city's best and brightest in ai at @raais for a deep dive into world models, voice, scaling, defense, rl, fintech, and robotics

with @RaiaHadsell @jeffrey_hawke @angelos_peri @ted_moskovitz @robertarail @vivnat nikolay and hadrien

[Forbes @Forbes]

MacKenzie Scott has reshaped the pace of giving. She has donated $26.4 billion in less than seven years, including an estimated $7.2 billion last year — the highest annual total by any individual worldwide since Forbes began tracking charitable giving in 2012. Scott joins the #ForbesIconoclast50 list: https://t.co/npegh7oECw
📸: Jorg Carstensen/AFP via Getty Images

Presented by Corient

[Victoria⚜️Rege @fleurdevie]

@MilksandMatcha @tyler_fong_ Ahh 👏🏻 congratulations 💍

[Victoria⚜️Rege @fleurdevie]

En route to @joinstationf this morning for #Contech Connect. Looking forward to it!

[Nathan Benaich @nathanbenaich]

i'm excited to unveil a $12m round for @perceptictech, operationalizing frontier ai systems to transform biopharma from @airstreet @accel elder gull and angels from ai labs

@ashedwardst of fern labs (now @poolsideai) intro'd me to tilman (ceo) who was spinning up a newco in ai for science after his 7 year stint at palantir

since then, a) biopharma has materially revved up its appetite to transform itself from within with frontier ai systems and b) ai labs are pointing their attention to science too

now is the time to build a new ai-first software company to power the biopharma industry writ large

working with martin copes and zaki trache - of palantir aip lore - with whom i have way too many mutual pal friends, was the right crew to do this with

we're already live in top-20 pharma accounts speeding up a number of critical workflows with much more to come

more from me via @airstreetpress below

join us!

[Victoria⚜️Rege @fleurdevie]

@Jason I'm in!

[Victoria⚜️Rege @fleurdevie]

@johnnyspeedrun @speedrun Building https://t.co/M0l9QBE2OT a planetary physical reasoning platform for critical investment decisions.

[Victoria⚜️Rege @fleurdevie]

@neelj23 Building https://t.co/U8JLaUvYmu planetary physical reasoning for complex, location based investments. Let's chat!

[Victoria⚜️Rege @fleurdevie]

@RKRigney @speedrun Signed up for office hours as I see your slots are filled. Thank you!

Globeholder is building an AI-native platform for planetary physical reasoning. Scientific agents that operate as a research lab to answer complex real-world questions.

[a16z speedrun 🧊 @speedrun]

SR007 APPLICATIONS ARE OPEN NOW

If you're building the next great company, we want to give you up to $1M in funding and $5M+ in credits, plus the most powerful launch platform in tech.

Apply before 11:59pm PT on May 17, 2026.

It only takes 5 min 👉 https://t.co/dd7LxOSRGO

[andrew chen @andrewchen]

ok - dropping big dates/news for a16z speedrun:

- starting TODAY, founders can apply for the 2026 program that runs July 27 to Oct 11 in SF

here's the link: https://t.co/opkX4cIaCF

- we will be investing up to $1M and funding 70+ companies over the next few weeks

- But there's also $5M in credits/tokens/etc from AWS/GCP/Open AI/Azure/NVIDIA/Deel/Stripe/etc. You'll also work with our amazing operating team (GTM, talent, brand, people, and more), and join our community of elite founders

- we offer a Global Founders Program for international founders, to help with visas, banking support, relo recommendations

- yes you can be solo (but better if you're further along, and have built a team). No you don't have to have an idea yet. Yes you have to know how to build (even if you're not technical)

- Also, in other news: speedun is officially moving full-time to SF. (prev it alternated SF/LA) this is for all the obv reasons

- we've continued to have an insane lineup of speakers, including the founders of Carta / DoorDash / Twilio / Figma / Zynga / Airtable / Twitch / and of course, lunch/dinners with Marc/Ben alongside a16z team - and much more

- the deadline for applying is May 17!

[LSU Gymnastics @LSUgym]

Our nonchalant best double lay in the world floor anchor queen @KaliyaLincoln 🫡

Kaliya closes with a 9.9375!

📺 ABC

[Xiaoyin Qu @quxiaoyin]

Hottest hire in Silicon Valley? Not a Stanford CS grad.

It's the person who can look at 5 AI drafts and say "this one feels right."

AI solved math, code, logic. But it can't tell if your ad makes people cry or cringe.

Taste is the new tech skill. 🧑‍🎓

Welcome to the revenge of the liberal arts kids.

[Waymo @Waymo]

London, we’re taking the next step! 🚙 We’re officially beginning autonomous driving with a trained specialist behind the wheel. We can’t wait to offer Londoners a quiet, convenient, and magical way to connect to the Tube, bus, or their final destination later this year.

[Aaron Levie @levie]

Another week on the road meeting with a couple dozen IT and AI leaders from large enterprises across banking, media, retail, healthcare, consulting, tech, and sports, to discuss agents in the enterprise.

Some quick takeaways:

* Clear that we’re moving from chat era of AI to agents that use tools, process data, and start to execute real work in the enterprise. Complementing this, enterprises are often evolving from “let a thousand flowers bloom” approach to adoption to targeted automation efforts applied to specific areas of work and workflow.

* Change management still will remain one of the biggest topics for enterprises. Most workflows aren’t setup to just drop agents directly in, and enterprises will need a ton of help to drive these efforts (both internally and from partners). One company has a head of AI in every business unit that roles up to a central team, just to keep all the functions coordinated.

* Tokenmaxxing! Most companies operate with very strict OpEx budgets get locked in for the year ahead, so they’re going through very real trade-off discussions right now on how to budget for tokens. One company recently had an idea for a “shark tank” style way of pitching for compute budget. Others are trying to figure out how to ration compute to the best use-cases internally through some hierarchy of needs (my words not theirs).

* Fixing fragmented and legacy systems remain a huge priority right now. Most enterprises are dealing with decades of either on-prem systems or systems they moved to the cloud but that still haven’t been modernized in any meaningful way. This means agents can’t easily tap into these data sources in a unified way yet, so companies are focused on how they modernize these.

* Most companies are *not* talking about replacing jobs due to agents. The major use-cases for agents are things that the company wasn’t able to do before or couldn’t prioritize. Software upgrades, automating back office processes that were constraining other workflows, processing large amounts of documents to get new business or client insights, and so on. More emphasis on ways to make money vs. cut costs.

* Headless software dominated my conversations. Enterprises need to be able to ensure all of their software works across any set of agents they choose. They will kick out vendors that don’t make this technically or economically easy.

* Clear sense that it can be hard to standardize on anything right now given how fast things are moving. Blessing and a curse of the innovation curve right now - no one wants to get stuck in a paradigm that locks them into the wrong architecture. One other result of this is that companies realize they’re in a multi-agent world, which means that interoperability becomes paramount across systems.

* Unanimous sense that everyone is working more than ever before. AI is not causing anyone to do less work right now, and similar to Silicon Valley people feel their teams are the busiest they’ve ever been.

One final meta observation not called out explicitly. It seems that despite Silicon Valley’s sense that AI has made hard things easy, the most powerful ways to use agents is more “technical” than prior eras of software. Skills, MCP, CLIs, etc. may be simple concepts for tech, but in the real world these are all esoteric concepts that will require technical people to help bring to life in the enterprise.

This both means diffusion will take real work and time, but also everyone’s estimation of engineering jobs is totally off. Engineers may not be “writing” software, but they will certainly be the ones to setup and operate the systems that actually automate most work in the enterprise.

[General Reasoning @GenReasoning]

🌍🇬🇧 Complex Worlds Hackathon, London

We're hosting an RL environments hackathon in London on the 25th April, partnering with @join_ef and @airstreet

Come join us to build the next generation of RL environments that model complex worlds over long horizons!

https://t.co/xp2EGT5vv9

[Sophia Yang, Ph.D. @sophiamyang]

Excited to announce AI Now Summit
📅 May 28, 2026 | 📍 Paris

🏭 Leadership Insights: Global CEOs share how they’re reshaping industries—from manufacturing and finance to energy and beyond.
💻 Hands-On AI: Explore open-source models, agentic workflows, and customization strategies to build and deploy AI with confidence.
🚀 Mistral Unveiled: Hear directly from the founders about their vision for AI transformation, company growth, and groundbreaking new releases.

Tickets are live, get your pass now →