Will Laufer

Founder x2 (Trace, Prelude), dad x2

[Will Laufer @wlaufer720]

Congrats @danfei_xu @simar_kareer @ryan_punamiya and the Egoverse team!

Excited for Trace to contribute to the consortium and enable more progress in robot learning.

[Danfei Xu @danfei_xu]

A few big updates from https://t.co/87ZgYr4hRb:

1. EgoVerse is coming to RSS'26! @ryan_punamiya will present the work, and @simar_kareer will give a keynote at the Data-Centric Robotics workshop.

2. EgoVerse is expanding with more industry partners, including @microagi, @LightwheelAI, and Trace Labs, with a growing pool of training-validated, permissively licensed data (hitting 10k hours soon).

3. We are building the ecosystem around egocentric intelligence: Through a new partnership with the @nvidia Inception Program, we are connecting data vendors with researchers who can put this data to work.

[Will Laufer @wlaufer720]

Congrats on the result, Orin team!! Excited about what you're cooking up 🧑‍🍳

[Bryan @bryan_houlton]

Introducing Horizon from @0rinlabs: the first long-horizon learning benchmark made from real agent logs

- SOTA is 21% on the hardest section
- 7-35M tokens of real agent history per task
- Models are hardly getting better on the hardest tasks
- Humans can score 100%

(1/7)

[Will Laufer @wlaufer720]

fantastic talk by @danfei_xu , and so impressive to see the consistent progress out of @ICatGT

human data is a research problem, but many want to treat it as an engineering problem. still, such an exciting time for robot learning!

[Danfei Xu @danfei_xu]

Gave a talk on Robot Learning from Human Data at Stanford. It was great to be back!

Some opinionated points:
1. Human data collection capacity is outpacing the research.
2. We still don't have the "science" for scaling robot capability with human data.
3. We are far from being able to model naturalistic human behaviors.

https://t.co/CRwRcdovVQ

[Will Laufer @wlaufer720]

@danfei_xu Congrats @danfei_xu!! Huge effort to the benefits of the entire space. Great progress!

[Will Laufer @wlaufer720]

@simar_kareer Amazing work @simar_kareer ! Congrats on this effort, and on continuing to push the frontier of human to robot transfer.

[Will Laufer @wlaufer720]

Let's go!!! I've gotten to see @lalkaka 's early musings on the future of observability while at cloudflare turn into... the future of observability @usefiretiger !

Congrats to @__achille__ and the whole team!

[Rustam X. Lalkaka @lalkaka]

Today we're introducing @usefiretiger. You and your AI agents write code. Firetiger makes sure it works.

Our team and I have plenty of incident war stories building @Cloudflare, @segment, @Twitch. In the agentic coding era, the volume of code changes + quality issues in prod is ever increasing, but observability vendors aren't incentivized to close the gap. They make money when you write more data to them, not when your software actually works.

Firetiger is the agentic operations layer for the agentic coding era. We combine production observability data, codebase understanding, and knowledge of your business to find problems before your customers do and fix them before they notice.

We've raised $7.6 million led by @sequoia with participation from angels who believe in better software, including @eastdakota, @calvinfo, @NicoRosberg, @dok2001, @jeffawilke, and @alanaagoyal.

You can sign up for @usefiretiger today, self serve. We charge for agents that directly make your software better and more reliable, not for observability data ingested, with plans starting at $599/month.

Observability is dead. Long live outcome engineering.

[Will Laufer @wlaufer720]

@jaltma Congrats @jaltma , so well deserved. What a pick up by Benchmark!!

[Will Laufer @wlaufer720]

@ItsSeb03 @caitlinbolnick1 is the best!!

[Will Laufer @wlaufer720]

@shomikghosh21 @Sierra_Ventures @erica_wenger Let's go!!! Congrats @shomikghosh21!

[Will Laufer @wlaufer720]

Impressive!

[Unitree @UnitreeRobotics]

Clarification Regarding Unitree's 2025 Sales Data

[Will Laufer @wlaufer720]

@ericjang11 Congrats Eric. You're a rare thinker and I can't wait to see what comes next!

[Will Laufer @wlaufer720]

Storytime: Corduroy

A tale of longing and belonging. Corduroy searches for the missing button to make himself worthy, and finds a friend who loves him unconditionally. A classic.

Score: 8/10

[Will Laufer @wlaufer720]

@jacobrintamaki Definitely!

[Will Laufer @wlaufer720]

Storytime: Caps For Sale

A small, well illustrated story with a cute and memorable gimmick. Light fare, nevertheless a classic.

Score: 7/10

[Will Laufer @wlaufer720]

Storytime: Pierre

A delightful (cautionary!) tale of a boy who learns to care the hard way. Really hits when kids are going through a ‘no’ phase.

Score: 8.5/10

[Will Laufer @wlaufer720]

Kids book review: The Bear and the Piano

Fun coming-of-age story about curiosity, ambition, music, and needing to leave to appreciate what home is.

Score: 7.5/10

[Will Laufer @wlaufer720]

Kids book review: Knight Owl’s Little Christmas

Big fan of the original Knight Owl, but this installation adds nothing worthy. Like a Christmas cookie: sweet but not filling.

Score: 3/10

[Will Laufer @wlaufer720]

Kids book review: Batman!

Comprehensive overview of Batman’s abilities, technology, and tactics. All exposition, no plot.

Score: 5/10

[Will Laufer @wlaufer720]

Fantastic work by @physical_int and @simar_kareer ! Unlike robot data, human data is abundant - exciting times ahead :)

[Physical Intelligence @physical_int]

We discovered an emergent property of VLAs like π0/π0.5/π0.6: as we scale up pre-training, the model learns to align human videos and robot data!

This gives us a simple way to leverage human videos. Once π0.5 knows how to control robots, it can naturally learn from human video.

[Physical Intelligence @physical_int]

We discovered an emergent property of VLAs like π0/π0.5/π0.6: as we scale up pre-training, the model learns to align human videos and robot data!

This gives us a simple way to leverage human videos. Once π0.5 knows how to control robots, it can naturally learn from human video.