Next Trillion $ startups at Summit with global leaders in AI and politics
Top experts will vote for Emtech AI rating of most prospective startups
Emerging AI technologies will create next Trillion $ companies, able to grow thousands times, like Google, Nvidia, Amazon, OpenAI.
Why all big countries and companies are chasing after emerging AI tech?
Cos it is the race for leadership in global economy in the next 50 years:
who first presents Superintelligent AGI, will be able to extract the added value from the entire globe, and grow faster than OpenAI did.
Because of the nature of Superintelligent AGI, able to perform all human and LLMs tasks thousand times smarter.
In previous articles here, we’ve figured out the underlying mechanisms of the technological race, and why investors are not so bullish on LLs anymore.
The aim of the Emtech AI Rating is to demonstrate to top global funds, which will convene at Strong AI Summit, the ability of the the first joint panel of experts and AIs, to predict the success of startups.
Trump / Vance plan to push frontier AI / Strong AI and would be favorable companies in AGI research field.
Strong AI Summit and OwnitMiami.com will present Emtech AI Ranking leaders.
Strong AI Summit has united the efforts with organizers of events, sponsored by top companies, such as Neom —
See the history of Emtech Rating https://telewellness.medium.com/best-emerging-tech-strong-ai-and-4th-law-of-ai-to-be-discussed-in-davos-73acfb67aad5
The Emtech AI rating methodology was proven on multiple cases, by the inventor Edward Musinski. UiPath, GetYourGuide, PicsArt, Verseon are the unicorns Edward has discovered and advised.
Emtech AI leaders how to discover next OpenAI (youtube.com)
Emtech AI Methodology is axed on 4T: Team (incl.Partners, Advisor), Technology, Timing and Territory. Only fast growing private companies, with strong technology, broad coverage and renowned partners are included.
Why are partners included into the broad Team? Look at the partners of Nvidia, OpenAI and other tech leaders! It’s impossible to build a global tech unicorn without big partners.
But ethical considerations also matter. This is why OpenAI was excluded from the Ranking, after most of founding team members and the Alignment department left the company, which became a “ClosedAI” instead of initially announced commitment to Open Source principles.
Emtech AI Rating’s long list.
The Emtech Rating’s long list is derived from expert pools, and analytics from IPqwery patent system, transparency of activity of team/ headcount dynamics ( Crunchbase + Tracxn Scores). Emtech AI Rating broadly covers attributes like founder’s previous experience, visibility in scientific community, funding, quality of investors, peer reviewed publications, growth achieved & market potential of the companies. Emtech AI Rating assigns significant weight to growth and quality of team (including technical partners and relationships with legit organizations), innovation and quality of technology, in order to identify breakthrough companies able to reach AGI objectives till 2029
Today we present two of Emtech AI rating leaders.
- You.com was founded in 2020 by Richard Socher, the former Chief Scientist at Salesforce and third most-cited researcher in Natural Language Processing and Bryan McCann, ex-Lead Scientist at Salesforce. Bryan is a real Renaissance man: His work has been cited thousands of times, and he has spoken about the cutting edge of AI and NLP around the world. Bryan’s work comes out of a deep philosophical interest in meaning and the desire to use AI to complement human creativity, inspire new thoughts, and ultimately develop tools for more fulfilling lives and a more complete understanding of the world.
And CEO Richard Socher is a prominent researcher in the field of natural language processing and deep learning. He is currently the Chief Technology Officer (CTO) at Good mbox, a private company focused on AI-powered email management. Prior to this, he served as the VP of Research at Meta AI. Socher has also held positions at Stanford University and the University of California, Berkeley, where he worked with Geoffrey Hinton, a pioneer in the field of feedforward neural networks. He is known for his work on neural sentiment analysis and neural machine translation.
2. DeepMind
DeepMind is a subsidiary of Alphabet Inc., the parent company of Google. Founded in 2010, DeepMind is a leading artificial intelligence (AI) research organization that focuses on developing AI systems that can perform tasks that typically require human intelligence, such as visual and auditory perception, natural language understanding, and decision-making. DeepMind’s breakthroughs include AlphaGo, the first AI system to defeat a human world champion in Go, and AlphaFold, which predicted the 3D structure of proteins with unprecedented accuracy.
In one year after Dileep George joined DeepMind in 2022, Gemini LLM was present to public. Other achievements of DeepMind and Dileep George are presented on Youtube channel
https://www.youtube.com/shorts/IkfwgUuyAJY
Next Nvidia.
The infrastructure layer of AI race is AI chip manufacturers.
In next articles I will present AI Chip companies.
There are such innovations, as Chiplets, modular chips serving a specific function, such as CPUs or GPUs that can be mixed and matched into a complete system. The Lego-like approach hands manufacturers the flexibility to compose a system cost-effectively with lower entry costs for new chip designs and increased efficiency and performance.
As such, all major powers are very hawkish on owning their own AI chips. For example, China’s determination to achieve technological self-reliance and counter US restrictions, means that it is being put at odds with other major countries, such as Taiwan. Taiwan’s critical role in the global semiconductor supply chain is one of the reasons for the rising China-Taiwan tensions. China’s ambitions to assert control over Taiwan are intensified by the strategic value of Taiwan’s semiconductor industry, as a conflict could enable China to dominate this critical industry, but also risks disrupting global supply chains, making Taiwan’s status a flashpoint in US-China geopolitical rivalries. Similarly, companies could be used as geopolitical players, for example by using OpenAI’s — a major generative AI player –tools to catch spies and hackers, but also use the technology to spy on users and their data. Similar to the energy and food industry, domestic AI and chip technology will increasingly be considered as crucial geopolitical assets for countries.
See how AGI may put the democracy under the risk. This question of alignment will be debated by White House and congress representatives for the first time!
See how AGI may put the democracy under the risk. This question of alignment will be debated by White House and congress representatives for the first time!
And meet global leaders in AI and politics at www.ownitmiami.com
