A.I. Data Startups find their Scale
Michael Spencer
A.I. Writer, researcher and curator - full-time Newsletter publication manager.
Hey Everyone,
This is an incredible story, and Scale A.I. will be an incredible company.
Origin stories really move me, and I will cover more A.I. based startups. I find myself being attracted to the process of how these companies formed and how they scale. While in some sense origin stories are founder stories, they are also inspirational.
As artificial intelligence is evolving, a company like Scale AI is a testament to the level of adoption from Fortune 500 companies, B2B and simply the movement of how artificial intelligence is becoming more ubiquitous in our societies and civilization.
In 48 days it begins, they have their event of A.I. visionaries. Since the event is free and digital, there's no real good reason not to sign up if you are an A.I. enthusiast like me.
?? Sponsored Event??
You’re invited to TransformX this October - 20k attendees, 120 speakers, 80 sessions
Hear?from?experts at Meta, Google, OpenAI, DeepMind and more discuss operationalizing AI and machine learning on October 19th -21st. Registration is free and gives you access to all recordings!
What is Scale AI?
Scale accelerates the development of AI applications by helping machine learning teams generate high-quality ground truth data. Their advanced LiDAR, image, video and NLP annotation APIs allow machine learning teams at companies like OpenAI, Lyft, Pinterest, and Airbnb focus on building differentiated models vs. labeling data.
?? Let's Begin the Origin Story
The story is just so incredible!
Wang is now the CEO of one of the biggest AI companies in Silicon Valley.
The company grew to ?? ?? unicorn status within three years. Their motto is “The Data Platform for AI”.
Alex actually embodies the whole “college dropout” cliché, it’s beyond belief. After growing up in the shadows of America’s nuclear weapons program, he built the future.
According to a Forbes article on the founder, Alexandr Wang?literally grew up in the shadow of New Mexico’s Los Alamos National Lab, the top-secret site where the United States developed its first atomic bomb during World War II. His parents were physicists who worked on weapons projects for the military.
So to conclude there are many aspects of the origin story of Scale AI that really appeal to me and seem made for a movie script.
Alex might become one of the leading entrepreneurs of his generation. GenZ is doing okay.
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“I told my parents it was just going to be a thing I did for the summer. Obviously, I never went back to school.”?-?Alexandr Wang
If a young person can create a company like Scale AI in so few years, what can the future hold for artificial intelligence?
Demand for smart software is powering demand for the services of Scale A.I. by some of the biggest companies in Silicon Valley. Corporate demand for data to train artificial intelligence algorithms has propelled the San Francisco-based startup to a $7 billion valuation, according to a WSJ report in 2021.
Scale A.I.'s event TransformX this year has one of the best lineups of speakers I've ever seen if you like A.I. startups and luminaries of machine learning and data science, which I happen to as well.
He founded the company at 19, and six years later the trajectory of his company is very impressive.
When we think of Mark Zuckerberg and Bill Gates dropping out of college to start companies that have become household names, the new wave doesn't necessarily look like them and I think that's a good thing.
While studying at MIT, Alex realized that the data was the big bottleneck for a lot of these people to build meaningful AI. It took a lot of time and resources to add intelligence to data, to make it usable for machine learning.
There were no standardized tools or infrastructure, there was no AWS, or Stripe, or Twilio to solve this problem.?Scale A.I. is a testament to that project, to that realization - and the world will never be the same again.
Scale accelerates the development of AI applications by helping machine learning teams generate high-quality ground truth data. Their advanced LiDAR, image, video and NLP annotation APIs allow machine learning teams at companies like OpenAI, Lyft, Pinterest, and Airbnb focus on building differentiated models vs. labeling data.
Their APIs include:
? Sensor Fusion - the first solution in the market to provide annotation for LiDAR/RADAR/Camera data
? Semantic Segmentation
? 2D Bounding Boxes/Polygons
? Video
? Lines & Splines
? Keypoints
? Data categorization
? Named Entity Recognition
? OCR Transcription
Every generation needs its own success stories. If Alex's parents wouldn't have moved to the U.S. from China, Scale A.I. wouldn't exist. Immigrants power our innovation and have the drive to shape a new world. There are so many uplifting lessons here about A.I. centric companies and their ability to help data improve our world.
Please share this article if you found it moving. We need more companies that transform the world in a vision where software knows no limits.
Chief Executive Officer at harvadam group
2 年great thoughts streaming into the mind, like a flash of lightning, a spark of ideas. nurtured, surely would bore great innovations and make great inventors.
A.I. Writer, researcher and curator - full-time Newsletter publication manager.
2 年Edit: The event is technically in 48 days, not the 3 week time period I had mentioned.
Founder @ AI Blockchain Ventures / Best Selling Author of Addicted to Silence In the NEW age of AI / 2 exits / GP stakes / GSA approved 2 years now
2 年Genius… although he hasn’t accepted my invite on LinkedIn I watched him in several interviews he is an amazing human. Carring for the customer is key… specifically after you customize what they need! That’s true success!
Fellow at the Academy of Political Sciences (disabled: now an advocate for Israel at AIPAC, WJC-AS, AJC for MI elected representatives and fan of JBS.
2 年Complex machine learning appears to be changing our understanding of physics and the universe. Applications at the Jefferson labs have predicted 5 quarks inside protons at 3 sigma. If further investigation increases this result to 5 sigma we will have to revise our understanding of the standard model. I also suspect AI learning will advance our understanding of how mass behaves at the quantum level and its tipping point to observable phenomenon. As our comprehensive understanding of AI grows so too will its societal impact.
Director, Global Radiosurgery Programs | Office of Medical Affairs, Varian Medical Systems
2 年What are concrete examples of success? AI has been around since the early days of computer science. An early example was the Big Blue vs Kasparov match. AI expert Monty Newborn, former AI professor at Columbia organized that event.