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Will it? Only time will tell.

The popularity of ChatGPT, the online chatbot built by OpenAI, has brought many to question the survival of search engines such as Google. Paul Buchheit, the creator of Gmail, has also dropped his opinion on the matter, and he thinks that Google’s business will last a maximum of two years, he tweeted.

Launched in November last year, ChatGPT has become the favorite destination to ask questions among millions of users. Instead of delivering a response to a search result that runs into tens of pages, ChatGPT answers the questions in a conversational style, making it easier for the user to ask follow-up questions, too.


JHVEPhoto/iStock.

Even if they catch up on AI, they can’t fully deploy it without destroying the most valuable part of their business!


— Paul Buchheit (@paultoo) December 1, 2022.

Yesterday, the Whitehouse announced that the USA and the EU (European Union) signed an administrative agreement to bring AI experts together to advance AI research as prior outlined in the U.S.-EU Trade and Technology Council (TTC) commitment.

This effort will further drive responsible advancements in AI to advance global complex challenges and develop a joint integrated research approach to achieve benefits in key research domains: extreme weather and climate forecasting, emergency response management, health and medicine, electric grid optimization, and agriculture optimization.


This article focuses on the AI leadership with the USA and the European Union in signing a new administrative agreement to do joint AI research in key global challenge areas like: climate change, healthcare, agriculture, etc.

Is this the breakthrough the world has been waiting for from the Search for Extraterrestrial Intelligence Institute?

A scientist, Peter Ma, has applied machine learning and artificial intelligence to data collected by the Search for Extraterrestrial Intelligence (SETI) Institute, a press statement reveals.

Algorithm finds 8 promising signals that could be of alien origin.


Honglouwawa/iStock.

Based on initial results, there is a slight chance the new method may have unearthed non-Earth-based “technosignatures”. That would mean it had achieved SETI’s goal of finding signs of extraterrestrial intelligence.

If we’re worried about plagiarism why not train students to work with AI writing assistants and learn to think through the dialogue? We could teach them to use chatbots to get ideas, to generate alternative approaches to a topic, to research questions, and to edit what they get into a coherent whole.

At the same time, we also have to teach our students to be careful and think critically about engaging with AIs and assessing the credibility of what they say.

By thinking through dialogue we could all rediscover the rich history and potential of this form of engagement.

Scientists at University of California San Diego School of Medicine have developed an artificial intelligence (AI)-based strategy for discovering high-affinity antibody drugs.

In the study, published January 28, 2023 in Nature Communications, researchers used the approach to identify a new antibody that binds a major cancer target 17-fold tighter than an existing antibody drug. The authors say the pipeline could accelerate the discovery of novel drugs against cancer and other diseases such as COVID-19 and rheumatoid arthritis.

In order to be a successful , an antibody has to bind tightly to its target. To find such antibodies, researchers typically start with a known antibody and use bacterial or to produce a series of new antibodies with variations of that sequence. These mutants are then evaluated for their ability to bind the target antigen. The subset of antibodies that work best are then subjected to another round of mutations and evaluations, and this cycle repeats until a set of tightly-binding finalists emerges.

Love this upgrade!


In this video I discuss New ChatGPT rival Claude developed by startup Anthropic AI

Links:
Constitutional AI Paper: https://arxiv.org/pdf/2212.08073.pdf.
Twitter Thread by Yann Dubois: https://twitter.com/yanndubs/status/1611450984131354625

Lego Rocket: https://amzn.to/3GkrgDt.
My New Mic: https://amzn.to/3woPdoD
Amplifier: https://amzn.to/3HsQrWs.
CloudFilter: https://amzn.to/3kyOa2N

Timestamps:

00:00 Intro.
03:05 Demis Hassabis: Founder of DeepMind.
14:30 DeepMind: Mission and early years.
19:18 Beating the Atari games.
27:22 Elon Musk: thoughts on DeepMind.
28:42 Elon Musk: AI could destroy humanity.
30:20 AlphaGo.
36:14 AlphaZero.
38:30 MuZero.
40:56 WaveNet.
43:18 AlphaStar.
45:33 AlphaFold.
48:39 Gato, A generalist agent.
50:02 Solving *everything else*

This premium episode is a documentary-style video about the history and importance of Alphabet subsidiary, DeepMind. Demis Hassabis, founder, was a chess prodigy by the time he was 13 years old. He went on to conclude he wanted to “solve intelligence” by building artificial intelligence agents and using digital tools. The team at DeepMind has created systems that defeated the world’s best chess and Go professionals. They’ve also cracked the code on the infamous ‘protein-folding problem.’ Demis Hassabis and DeepMind are fascinating. Moreover, they’re still just getting started.

Fantastic interview of Demis Hassabis by Lex Fridman: https://youtu.be/Gfr50f6ZBvo.

Neura Pod is a series covering topics related to Neuralink, Inc. Topics such as brain-machine interfaces, brain injuries, and artificial intelligence will be explored. Host Ryan Tanaka synthesizes informationopinions, and conducts interviews to easily learn about Neuralink and its future.

Please consider supporting by joining the channel above, or sharing my other company website with retirees: https://www.reterns.com/. Opinions are our own. Neura Pod receives no compensation from DeepMind or Neuralink and has no affiliation to either company.

Scripted/ edited by: Omar Olivares.