William Almeida

CRO @micro1

[Ali Ansari @aliansarinik]

Why we bid $12.5 million for Spirit Airlines’s data:

As you may have seen in the news, we are aiming to acquire the Spirit operational data. We'd like to transparently & directly explain why. The future of AI is a bet on two things: the messiness of the real world and the brilliance of the humans working inside it.

The combination of these two things results in a new dimension of scale called realism. Realism is the most significant thing that has ever happened to model training. It’s what lets RL environments and tasks match the conditions a model is deployed into.

The limit is the real world itself. But the real world is also dynamic. It grows with a company and shifts as operations evolve. There is not a binary scaling of entering the real world. Realism keeps scaling as long as real work keeps happening.

As a data lab, we want this data to benefit the entire AI ecosystem, while ensuring labs that we partner with for this data, agree to strict privacy obligations. This includes keeping the data away from labs outside of U.S. and U.S-allied countries. Our mission is to push the frontier in novel ways, with a human & privacy first approach.

To do that, we've bid on a portion of Spirit’s Airline’s non-sensitive operational data.

Effectively scaling realism requires de-identification as a core competency. Very few organizations can do this. We believe the few that can have an obligation to act transparently. That’s why we’ve made binding commitments. We will prohibit re-associating the data and will not profile any former employee. We’re paying for an independent data ombudsman to review the data and how we use it.

Furthermore, our offer aims to create net new opportunities for as many as we can from the 17,000+ former Spirit employees. We’re providing former Spirit employees preferential access to paid human data roles on our platform, along with free access to our AI training and reskilling curriculum.

These commitments bind us to spending at least $1M. That is just the minimum. It’s entirely possible we spend orders of magnitude more than $1M working with and training former Spirit employees to help define the frontier.

We think this transaction will set the terms for how data like this changes hands from here. Those terms should be worth copying.

[Ali Ansari @aliansarinik]

we’re hiring 10,000 robotics trainers in the next 7 days.

$50–$90/hour, accepting applicants globally. you’ll review and label videos of robots performing tasks to help them improve. no prior AI experience required.

an entirely new category of work is emerging around teaching robots how to interact with the world.

application link in the comments below.

[micro1 @micro1_ai]

We are hiring 10,000 robotics trainers over the next 7 days for one of our biggest projects yet.

We're looking for thousands of participants to help train robots by reviewing and labeling videos of them performing tasks.

- Role is open to English speaking and Western countries
- No prior AI experience required
- You'll review and label videos of robots performing tasks to help them improve
- Hourly rate: $50-90/hr
- Referral bonus: $300 per successful referral

Apply via the link in comments!

[William Almeida @will_venas]

@aliansarinik 🇺🇸

[William Almeida @will_venas]

@micro1_ai so cool!!! 🕺

[micro1 @micro1_ai]

What if AI research could create more culture, not less?

Over two days, we sponsored more than 20 live performances across San Francisco, giving local musicians new stages and bringing more live music into public spaces around the city.

Portions of those performances were also recorded to create real-world audio data for AI audio and music research. That data can help advance music education tools, improve how systems understand instruments and musical structure, and create new ways for emerging artists and music to be discovered.

We believe nothing replaces human brilliance. The future of AI in music shouldn’t mean less human creativity. It should help people explore more, learn more, and bring more ideas to life.

[micro1 @micro1_ai]

Perception models for defense are only as strong as the conditions they've been trained and evaluated on.

Our latest work in mission AI uses synthetic data generation to help teams fill coverage gaps that are difficult, costly, or impractical to collect in the real world.

The goal: help defense programs build more complete datasets and evaluate models across the conditions they're actually expected to encounter.

Learn more at the link in comments.

[William Almeida @will_venas]

@jessicafeiyali @micro1_ai let's go!!

[micro1 @micro1_ai]

free coffee. coming to your favorite shop soon.

[Ali Ansari @aliansarinik]

The future of AI belongs to the humans behind it.

There’s a common fear that as AI gets better, people get pushed out of the picture. We believe the opposite is happening.

AI is creating entirely new categories of work, and an entirely new economy around the people whose knowledge, judgment, and experience are helping these systems improve.

Today, tens of thousands of experts are actively contributing to AI training projects through micro1. Over time, we believe this will grow to tens of millions+.

And if humans are going to play such a critical role in building the future of AI, the companies they work with should raise the standard for how they’re supported.

Today, I’m proud to announce the micro1 Expert Support Program.

We’re building a new set of protections, resources, and support for our expert community, starting with:

-Expert Bill of Rights: a clear set of commitments outlining what experts can expect when working with micro1.

-Rest Credits: paid time away from projects when experts need or want a break.

-Expert Emergency Fund: financial support for experts facing emergencies.

-Mental Health & Coaching: new resources to support expert wellbeing and growth.

-Confidential Support Line: a confidential way to ask questions, seek support, or raise concerns related to pipelines.

Within the next two weeks, every expert currently active with micro1 will receive an email with the full program details and launch dates.

AI is going to keep getting more capable. The opportunity in front of us is to make sure the people helping build it benefit from that progress too.

[Ali Ansari @aliansarinik]

evals will be the primary moat for every enterprise long term.

Abridge CEO @ShivdevRao dropped an amazing article about this on how enterprises are approaching product evals (link in thread).

many AI product teams are already committing $10M+ annually to human expert evals, because you can't improve what you can't continuously measure.

our bet is that within 12 months, every Fortune 500 building AI products will have an 8-figure evaluation stack.

the very early days of the data exponential is now.

[Ali Ansari @aliansarinik]

more than 1,000 companies have signed up to get paid for their anonymized data to train models just in the last few weeks.

a massive TAM opportunity for the entire economy has emerged almost overnight.

[Ali Ansari @aliansarinik]

❤️

[TechCrunch @TechCrunch]

Surging demand for AI training data is driving rapid growth for the startup and its rivals.
https://t.co/qBK98bFWyA

[Ali Ansari @aliansarinik]

we are hiring 10 data partnership managers in next 2 weeks.

you can make anywhere from $100-200k/year right away with 0 experience.

if you're interested in sales, excited about data, and want to work at the frontier, apply in the comments below.

[William Almeida @will_venas]

@chrisbarber @bercankilic @joinshift @aliansarinik @babugi28 @Rush26agarwal @joshavata @jasontheutopian @mog3n @NotDeu @philippswu cool!

[Chris Barber @chrisbarber]

I added a robotics data section to pavlov's list:

- Scale (Natasha Dadabhoy, Don McCullough)
- microagi (@bercankilic @joinshift)
- micro1 (@aliansarinik)
- Human Archive (@babugi28 @Rush26agarwal)
- Mecka (@joshavata @jasontheutopian @mog3n @NotDeu)
- XDOF (@philippswu @YideShentu @itsnemojin)
- Build (@eddybuild)
- Sieve (@mokshith @thpicy)
- Claru (@DaniYogatama @artetxem)
- Midcentury (@dgmonsoon @ckxyz_)
- Datoric (@NickelReady @Jeffjinlin)

Thanks to @dgmonsoon @dygk_0x1 @markgrinev @jayparth_ @bercankilic @aliansarinik @Thom_Wolf @NickelReady @sincethestudy @elvisnavah and @rajivpoc

https://t.co/PR9sZ5R31Z

[Mark Esposito, PhD @Exp_Mark]

Language models conquered the screen. World models are learning to conquer physics: predicting the next state of the physical world, not the next word. That's the next chapter of AI
@micro1_ai @ariansadeg
https://t.co/alFquenqNZ

[William Almeida @will_venas]

@aliansarinik 🔥

[Ali Ansari @aliansarinik]

in the last 11 days, we've committed more than $20,000,000 to license real operational data to seed our RL environments. scaling on the realism dimension is just beginning.