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OpenAI leads eight generative AI companies on the list, creating world-class products with the least number of employees!

In the past year or so, generative AI technology has become popular all over the world, and many new tools have emerged in image, text, video, music and other fields. I feel like I am out without talking about ChatGPT at work.

At the same time, all the top technology companies have also started a war of robbery. after all, large language models, large-scale cluster infrastructure and AI applications are still sophisticated technologies in the hands of a small number of high-end talents.

In addition to technology, experience is also important, and the development of AI models requires deep knowledge and creativity to create great products.

Recently, a foreign media reporter scraped all the companies related to artificial intelligence in the world, sorted according to product quality, number of papers, and other indicators, and found eight companies leading the development of generative artificial intelligence technology. and statistics on the employees' public education background, previous company, place of residence and other information.

In addition to the eight leading companies, the article also statistics 11 companies with great potential, and the companies that apply the model to real scenarios and connect users directly may be the leader of the next AI technological innovation.

In the process of statistics, it can be found that the top talents of large companies are basically poached by more flexible and innovative start-ups, resulting in the talent competition of large companies in the wave of AI technology in an inferior position.

The eight leaders of generative AI rank according to public employee information, such as school education, advanced degree, former company, working years, patents, publications, etc., and compete for eight companies with AI R & D as the core from more than 3500 companies engaged in generative artificial intelligence business.

1. Tome, artificial intelligence to help generate speeches and visual narrative stories

2. Character.AI, you can chat with various generated AI characters

3. Anthropic, a company specializing in artificial intelligence security and research, mainly builds chat robots for work environments.

4. OpenAI,ChatGPT 's development company, which demonstrates the capabilities of large language models, has also released a series of DALL-E models for image generation

5. Hugging Face, modeling to perform specific tasks in the enterprise

6. Jasper, creating models of creative content at the marketing and brand level

7. Stability AI, open source Stable Diffusion, is also one of the earliest image generation models released to the public

8. Midjourney, a self-funded research lab, has released an image generation tool that runs entirely on Discord.

In terms of recruiting talent, the eight startups have won the battle for talent, hired the highest-level engineers and artificial intelligence experts in the industry, and found the position of their own products in the market. and got enough financing and valuation.

Companies that package existing models as applications are not taken into account in the ranking process.

In terms of the number of employees, these start-up employees are the elite of the elite, most companies are less than 200 people, at least 22 people, can be said to use the least number of employees, creating the highest productivity in the world.

Through the statistics of on-the-job employees, it can be found that many people have worked for large companies such as Google and Meta, and even some employees who have changed jobs from OpenAI.

On the other hand, Google, which has been guided by AI First, has invested a lot of money in the artificial intelligence track, but so far, Google has not come up with an open and available AI product or service for consumers.

Most of the employees' educational backgrounds come from world-renowned universities, with Stanford University, University of California, Berkeley and Massachusetts Institute of Technology in the top three, and the educational background is also very international. the School of artificial Intelligence at the University of Waterloo in Canada ranked fourth, while the School of artificial Intelligence at the University of Leuven in Belgium ranked eighth.

Geographically, Hayes Valley is becoming a frequent venue for artificial intelligence events, gatherings and creator houses.

And San Francisco's Covid recovery is the worst of any major urban area in the United States, reflecting the influx of talent into the Bay area, or at least finding new jobs at artificial intelligence companies.

However, the public information does not show which employees in a geographic area are telecommuters, and the statistics in the chart below are certainly lower than the actual value, but they also reflect the trend.

Next-generation AI: from research to application although the names of eight start-ups appear frequently in all major media, 11 companies are quietly expanding, attracting a large number of high-quality talents to join the team.

1. Pictor Labs, digital pathology (AI-driven histopathology), accelerates clinical research of the disease.

2. Accurate treatment of immune-related diseases assisted by Endpoint Health,AI

3. Otter.ai, audio transcription driven by artificial intelligence, similar to chat robot conference assistant

4. Bria, image and video content with commercial use control

5. WellSaid Labs, text-to-speech dubbing

6. Subtle Medical, radiology image processing driven by artificial intelligence

7. Copy.ai, marketing copywriting through chat robot

8. Lexion, artificial intelligence contract assistant in sales, procurement, human resources, law, etc.

9. You, a search engine with a chat robot interface

10. OctoML, fine-tuning and running of large language model based on cloud computing

11. Runway, videos, images and other creative tools

These companies have one thing in common: while artificial intelligence research is at the core, they focus on solving problems in specific areas, or on customizing specific use cases for real customers.

Many of the technologies developed by the eight startups are leading the future of artificial intelligence research, and these 11 companies may be the ones that can provide users with real value, tool development, interaction and other services. and may cover everything from health care to entertainment.

In terms of educational background, the University of Washington leapt to the top and is home to Paul G. Allen's Center for computer Science and Engineering, followed by Stanford University and the University of California, Berkeley.

When checking employment background, the University of Washington re-emerged, topped by Amazon, Microsoft and the Allen Institute for artificial Intelligence (a research institute founded by the late Microsoft co-founder Paul Allen).

Of the 11 AI companies, Wellsaid, You and Runway are headquartered in Seattle and are home to several top companies and institutions, such as Microsoft, Amazon and Boeing, who also covet AI talent.

In 2021, a report from the Brookings Institution listed the early use of artificial intelligence in urban areas, named "eight large technology centers". Including New York, Boston, Seattle, Los Angeles, Washington, D.C., San Diego, Austin, Texas and Raleigh, North Carolina.

Where is the future? The pace of technological change is still accelerating, and human beings have seen the influence of innovation in the world, from the invention of cars to airplanes to semiconductors.

With the passage of time, generative AI technology will reorganize the operation and development of almost everything in the world, whether it is agriculture, education, corporate marketing, finance and so on.

And in every great change, talent is always the core.

While there is always excessive concern that AI will replace all work with robots, fledgling AI start-ups need more expertise than ever before to build new features and products, let alone manage all the related technologies, such as running data centres with thousands of GPU and compressing thousands of bytes of training data.

Work on language models has only just begun, as companies are competing to train custom models based on the technology and to refine those that are already in open source use.

For this reason, the number of stars related artificial intelligence projects on Github can also show a certain technological trend, and anyone can contribute and learn how to develop artificial intelligence applications, which has recently begun to explode, especially after OpenAI released ChatGPT to the public on November 30, 2022.

Artificial intelligence generated about $1.7 billion in transaction value in the first quarter of 2023, excluding Microsoft's $10 billion investment in Open AI announced in January.

Although it is not clear how the computer industry will develop in the future, the artificial intelligence revolution may be the fastest growing technological boom and transformation in human history.

Reference:

Https://medium.com/lightspeed-venture-partners/eight-ai-startups-winning-the-race-for-tech-talent-571a18b03642

This article comes from the official account of Wechat: Xin Zhiyuan (ID:AI_era)

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