Saturday, January 8, 2022

g-f(2)796 The New World (1/8/2022), CNBC, How A.I. is set to evolve in 2022

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"g-f" fishing of golden knowledge (GK) of the fabulous treasure of the digital ageArtificial Intelligence, The evolution of AI in 2022 (1/8/2022)  g-f(2)426 


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How A.I. is set to evolve in 2022

  • While AI still has a long way to go before anything like human-level intelligence is achieved, it hasn’t stopped the likes of Google, Facebook (Meta) and Amazon investing billions of dollars into hiring talented AI researchers who can potentially improve everything from search engines and voice assistants to aspects of the so-called “metaverse.”
  • “AI algorithms are good at approaching individual tasks, or tasks that include a small degree of variability,” Edward Grefenstette, a research scientist at Meta AI, formerly Facebook AI Research, told CNBC.
  • AI researchers have started to show that there are ways to efficiently adapt AI training methods to changing environments or tasks, resulting in more robust agents, Grefenstette said. He believes there will be more industrial and scientific applications of such methods this year that will produce “noticeable leaps.”
  • Anthropologist Beth Singler, who studies AI and robots at the University of Cambridge, told CNBC that claims about the effectiveness and reality of AI in spaces that are now being labeled as the metaverse will become more commonplace in 2022 as more money is invested in the area and the public start to recognize the “metaverse” as a term and a concept.

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The robot cafe bridging the virtual and physical workplace



Sam Shead


I'm a tech journalist with over eight years of experience writing about business and technology for some of the world's leading publications.

My work has been published by CNBC, BBC News, The Financial Times, Wired, Forbes, Business Insider, and I've appeared in television interviews on the BBC, Sky News, Al Jazeera, Channel 5, and Reuters TV.

Extra-condensed knowledge

Lessons learned, CNBC

Golden Knowledge (GK) juice

  • Machines are getting smarter and smarter every year, but artificial intelligence is yet to live up to the hype that’s been generated by some of the world’s largest technology companies.
  • AI can excel at specific narrow tasks such as playing chess but it struggles to do more than one thing well. A seven-year-old has far broader intelligence than any of today’s AI systems, for example.
  • Singler warned that there could be “too little discussion” in 2022 of the effect of the metaverse on people’s “identities, communities, and rights.”
  • Gary Marcus, a scientist who sold an AI start-up to Uber and is currently executive chairman of another firm called Robust AI, told CNBC that the most important AI breakthrough in 2022 will likely be one that the world doesn’t immediately see.
  • “The cycle from lab discovery to practicality can take years,” he said, adding that the field of deep learning still has a long way to go. Deep learning is an area of AI that attempts to mimic the activity in layers of neurons in the brain to learn how to recognize complex patterns in data.
  • Marcus believes the most important challenge for AI right now is to “find a good way of combining all the world’s immense knowledge of science and technology” with deep learning. At the moment “deep learning can’t leverage all that knowledge and instead is stuck again and again trying to learn everything from scratch,” he said.

Condensed knowledge

Opportunities, CNBC

DeepMind’s next steps

  • One of the biggest AI breakthroughs in the last couple of years has come from London-headquartered research lab DeepMind, which is owned by Alphabet.
  • The company has successfully created AI software that can accurately predict the structure that proteins will fold into in a matter of days, solving a 50-year-old “grand challenge” that could pave the way for better understanding of diseases and drug discovery.
  • Neil Lawrence, a professor of machine learning at the University of Cambridge, told CNBC that he expects to see DeepMind target more big science questions in 2022.
  • Language models — AI systems that can generate convincing text, converse with humans, respond to questions, and more — are also set to improve in 2022.
  • Catherine Breslin, a machine learning scientist who used to work on Amazon Alexa, thinks Big Tech will race toward larger and larger language models next year.
  • Breslin, who now runs AI consultancy firm Kingfisher Labs, told CNBC that there will also be a move toward models that combine vision, speech and language capability, rather than treat them as separate tasks.
  • Nathan Benaich, a venture capitalist with Air Street Capital and the co-author of the annual State of AI report, told CNBC that a new breed of companies will likely use language models to predict the most effective RNA (ribonucleic acid) sequences.

Some relevant characteristics of this "genioux fact"

  • Category 2: The Big Picture of the Digital Age
  • [genioux fact deduced or extracted from CNBC]
  • This is a “genioux fact fast solution.”
  • Tag Opportunities those travelling at high speed on GKPath
  • Type of essential knowledge of this “genioux fact”: Essential Analyzed Knowledge (EAK).
  • Type of validity of the "genioux fact". 

    • Inherited from sources + Supported by the knowledge of one or more experts.


“genioux facts”: The online programme on MASTERING “THE BIG PICTURE OF THE DIGITAL AGE”, g-f(2)796, Fernando Machuca, January 7, 2022, Corporation.


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