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Last week, I attended a community event, that Collective Forecast organized where Yann LeCun was the guest speaker. The session was attended by leading experts in AI, ML, CEOs, journalists, and company representatives who simply wanted to hear what was on Yann’s mind. The session was jam packed with everyone engaged and cherishing each word.

Yann is is well known for his work on on convolutional neural networks (CNN), and is a founding father of convolutional nets. Yann received the 2018 Turing Award (often referred to as “Nobel Prize of Computing”), together with Yoshua Bengio and Geoffrey Hinton, for their work on deep learning.


This article summarizes a recent discussion with Yann LeCun discussing why ChatGPT3 is not revolutionary and why AI is not as Smart as a Cat.

Can lightning strike twice? That’s apparently the question being raised today with the public introduction of the next social app built by Instagram’s co-founders, Kevin Systrom and Mike Krieger. The duo have launched a new venture to explore social apps, according to a report published in The Verge, which includes the debut product Artifact, a personalized news reader.

The app itself is not yet publicly available but offers a waitlist where interested users can sign up. As described, it sounds like a modern-day twist on Google Reader, a long-ago RSS newsreader app that Google shut down back in 2013. Except in this case, Artifact is described as a newsreader that uses machine learning to personalize the experience for the end user, while also adding social elements that allow users to discuss articles they come across with friends. (To be fair, Google Reader had a similar feature, but the app itself had to be programmed by the user who would add RSS feeds directly.)

Artifact will first present a curated selection of news stories, The Verge’s article notes, but these will become more attuned to the user’s interests over time. Some of the articles will come from big-name publishers, like The New York Times, while others may be from smaller sites. Other key features will include comment controls, separate feeds for articles posted by people you follow alongside their commentary and a direct message inbox for discussing posts more privately.

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.

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.

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.

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.