Google DeepMind CEO Hassabis recently received the title of Sir and a knighthood for his contributions to AI development. He is a Fellow of the UK's Royal Academy of Engineering and the Royal Society of London and part of Time magazine’s 100 Most Influential People in AI list.
Boasting a PhD in neurobiology, this visionary scientist believes that understanding the brain's mechanisms will help make incredible breakthroughs in AI.
BIOGRAPHY
Hassabis was born in 1976 in London. His father was Greek Cypriot, and his mother was Chinese Singaporean.
At age 8, Hassabis bought his first computer and taught himself how to program from books.
He entered Cambridge at the age of 16.
In 2010, Hassabis founded DeepMind Technologies lab with Shane Legg and Mustafa Suleyman. Elon Musk was among the investors. In 2014, Google acquired DeepMind for $650 million.
🥇 In 2016, DeepMind released AlphaGo, an AI program that beat the top professional player of Go.
The Hassabis team also developed The AlphaFold and AlphaFold2 AI programs capable of predicting the shape of proteins down to atoms and building three-dimensional protein models. This breakthrough will help create new drugs and treat severe diseases like Alzheimer's.
DeepMind merged with Google Brain in 2023 and released the Gemini 1.5 Pro in 2024.
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Mustafa Suleyman on How AI Will Transform the World
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Last week, OpenAI released an updated version of the GPT-4-Turbo model. According to reviews, it excels at generating code and produces texts with less "fluff." After its release, GPT-4-Turbo claimed the first position in the ranking of large language models (LLMs) — the Arena Leaderboard. This ranking is based on user voting and pairwise comparisons.
In our @GPT4Telegrambot, you can work directly with four leading models: GPT-4-Turbo, GPT-4-0125, and Claude 3 — versions of Opus and Sonnet.
#OpenAI #Claude @hiaimediaen
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If your company needs a logo and the designer is looking for inspiration, Brandmark will help you swiftly develop many options while considering the company's domain.
How it works?
1️⃣ After registering, provide the company's name and slogan.
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The Edit button allows you to edit almost every logo component, from the icon and font to the background and layout, while the Ideas button displays color options. In the menu under the ellipsis, a Share button allows you to share the results with colleagues.
Summary: Brandmark can significantly speed up the logo creation process or provide ideas for inspiration.
#manual @hiaimediaen
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A new AI model from Microsoft enables the creation of avatars that move and speak like real people. This technology operates in real time, accurately replicating facial expressions and movements in response to sound. VASA expands the possibilities for digital avatars, enhancing user interaction in video game production and filmmaking.
#news #Microsoft @hiaimediaen
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Meta has released two versions of the Llama 3 model: 8B and 70B — with 8 billion and 70 billion parameters, respectively. The models are already integrated into Meta AI's virtual assistant in the US and several English-speaking countries.
Meta's AI Chief Scientist, Yann LeCun, writes that Llama 3's context length is 8,000 tokens (approximately 5,000 words in English) — how much the model can remember in a single conversation with a user. The models are trained on 15 trillion tokens on a specially created cluster of 24,000 GPU, making Llama 3 the world's largest LLM model with free access and open-source code.
Meta notes that Llama 3 can easily handle multi-step tasks thanks to improved scalability and performance, and post-training refinements significantly improve answer consistency. According to the tests published on the Llama 3 page, both the 8B and 70B models outperform models in their class: Mistral 7B and Claude 3 Sonnet, respectively
Llama 3 supports 12 key scenarios: advice seeking, brainstorming, classification, closed-question answering, coding, creative writing, summarization, empathy, open-question answering, reasoning, paraphrasing, and summarizing.
In the coming months, Meta plans to release new versions of the model, including 400B, which, according to the creators of Llama 3, will mark a new milestone in developing open-source LLM.
✅ How to Use?
You can test the new models using Perplexity and select Llama 3 from the dropdown list.
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Even the major Big Tech companies don't quite agree on where we currently are regarding the level of AI development. In a recent lawsuit against OpenAI, Musk claimed that GPT-4 is early AGI, essentially equal to human intelligence.
If true, then according to OpenAI's mission statement, it should serve the "benefit of humanity" and not just profit Microsoft, which owns an exclusive license to OpenAI's products. Microsoft keeps claiming its rights to GPT-4. The company believes that the AGI has not yet been reached.
While the term "Artificial Intelligence" appeared in 1956, the concept of AGI came into use in 2007, after a book by SingularityNET founder Ben Herzl called "Artificial General Intelligence" came out.
In 2010, while addressing potential investors at the Singularity Conference about the newly launched DeepMind Lab, Demis Hassabis was among the first to talk about achieving AGI. This was the startup's goal stated in the company's business plan.
Altman defines AGI as the "equivalent of a median human that you could hire as a co-worker." Hassabis says AGI "should be able to do pretty much any cognitive task humans can do."
Most AI models still perform narrowly focused tasks. AGI must be able to independently solve many versatile tasks, self-learn quickly, adapt to context, and produce new knowledge.
In the 1960s, scientists predicted the arrival of "thinking machines" as early as the late 1980s. Now, the most cited date is 2031. Still, the head of Meta AI, Yann LeCun, believes that the transition to AGI may take a few decades.
Elon Musk believes AGI is "the greatest existential threat we face today." Yet Demis Hassabis is convinced that with the advent of AGI, humanity will reach a new level of development and come closer to creating Super Intelligence (ASI).
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We prepared the latest bestselling books about artificial intelligence's past, present, and future from leading scientists and researchers.
A former Microsoft engineer-turned-English Literature professor at Columbia University explores AI from philosophical, religious, and cultural perspectives.
Italian philosopher, AI researcher, and professor at Ca' Foscari University (Venice) traces the history of AI from the prototype calculator in the late 18th century to today's machine learning algorithms and explains why AI has no chance of becoming a malevolent "superintelligence."
Futurologist, writer, and Forbes contributor ranked among the top five business influencers in the world according to LinkedIn unveils through multiple examples how generative AI is transforming various areas of our lives and how to use these changes for our good.
One of Elon Musk's favorite authors, Oxford philosophy professor Nick Bostrom, describes a world where AI performs all tasks far better than humans.
Leading robotics experts from MIT discuss how "smart machines" have already integrated into our lives and what changes (for the better!) we might expect in the coming years.
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As usual, we are sharing the most interesting news from the world of AI for the 16th week of 2024 in our Sunday digest.
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#AIweek | @hiaimediaen
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