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New media from the creators of @GPT4Telegrambot — 12 million users worldwide. We write about AI and the people behind it.

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Media in Russian: @hiaimedia
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⚔️ Sir Demis Hassabis: the newly minted knight of AI

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.

♟️ He learned to play chess at age 4. By 13, this chess prodigy had an Elo rating of 2300 points.

At age 8, Hassabis bought his first computer and taught himself how to program from books.

He entered Cambridge at the age of 16.

🧠 Hassabis did his PhD in cognitive neuroscience in London and co-authored a study on neurobiology and AI conducted by MIT and Harvard.

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.

👾 One of Hassabis’ favorite games is a strategy game called The Battle of Polytopia (Elon Musk loves it, too), and his favorite authors include Noah Harari, Isaac Asimov, and Ian Banks.

▶️ Video interview with Lex Friedman

🎤 Interview for The Verge

You might also be interested in:
Mustafa Suleyman on How AI Will Transform the World

@hiaimediaen
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🔝 GPT-4-Turbo has taken the top spot in the ranking of LLMs. Let's explain how it's compiled

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.

What do the parameters in the Arena ranking mean?

⚪️ Arena Elo — the rating of LLMs, similar to the one used in chess. It indicates how well a model performs in competitions against others. In these competitions, users choose the best model. The comparison happens in a blind testing mode: users are presented with two windows to interact with unknown models, and they can converse with them until they determine the best LLM based on their personal preferences.

⚪️ CI, 95% — the confidence interval of the model's rating. What does this mean: for example, if the GPT-4-Turbo model has an Elo rating of 1260 and a CI of 95% of +5/-5; it means that with a 95% probability, the actual rating of the model will be within the range of 1255–1265 (+5 and -5 from the rating of 1260). The CI helps track the objectivity of the LLM's position in the table, which is why three models immediately occupy the 1st place: their ratings "overlap" in their confidence intervals.

⚪️ Votes — the number of user votes in Arena. As of today, Arena operates with 670 thousand votes.

⚪️ Organization — the company that owns the LLM.

⚪️ Knowledge Cutoff — the period the model's data is trained; for example, GPT-4-Turbo has world knowledge until December 2023.

👍 How can I test it?

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.

📕 More stories:

⚡️ Claude 3: a new AI model from the main competitor of OpenAI

📎 @GPT4Telegrambot Now Features File Recognition

#OpenAI #Claude @hiaimediaen
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🎨 AI for Logo Creation

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.

2️⃣ Next, specify keywords defining the brand; you can skip this step.

3️⃣ Choose a monochrome color or color style, such as soft pastel, dark, or high contrast.

4️⃣ Logo generation takes approximately 30 seconds. PROFIT!!!! 🎉

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.

💰 Logo creation and editing is free. Saving the file as PNG costs $25.

Summary: Brandmark can significantly speed up the logo creation process or provide ideas for inspiration.

Brandmark is not the only AI for logo creation. Some popular alternatives include Looka and Logo Diffusion. The way services are set up is different from that of Brandmark. Please let us know if you want a manual.

#manual @hiaimediaen
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👾 VASA — Hyper-Realistic Talking Avatar

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.

🤡 To create a digital avatar using the generative model VASA-1, upload a photo and an audio track of a voice. The model animates the image and outputs a video with 512x512 resolution and up to 40 frames per second. It mimics head movements, facial expressions, and natural lip movements, fully synchronized with spoken speech. VASA can animate not only photographs but also drawn pictures.

👎 Microsoft notes that the model captures various speech emotions, and nuances in facial muscle movements, reproducing them as organically as possible to avoid a sense of artificiality. However, the corporation is aware of the risks of using the technology to create deepfakes, so VASA videos intentionally include noticeable artifacts to prevent them from achieving complete realism.

🔜 Trying VASA is not possible yet, but expressive generation examples have already been publicly available. Testing is expected to be feasible in the coming months.

📕 More stories:

🤖 OpenAI built a voice cloning tool, but you can’t use it… yet

🖌 Creating an AI Influencer

#news #Microsoft @hiaimediaen
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🦙 Llama 3 Is Out. It's The Largest Open-Source LLM

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.

💪 The Biggest LLM

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.

🔋 Enhanced Performance

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 🔼 Look at the chart above. For example, MMLU stands for language understanding, GSM-8K for mathematics, and HumanEval for programming.

👍 Special Scenarios

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.

More Stories:

🔝 GPT-4-Turbo has taken the top spot in the ranking of LLMs. Let's explain how it's compiled

🕊 xAI Unveils Grok-1.5 Vision Preview Model

#news #Meta @hiaimediaen
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What is AGI?

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.

🖥 Where does the AGI concept come from?

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.

🤔 What does AGI mean now?

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."

📝 How does "general AI" differ from "ordinary" AI?

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.

When will we achieve AGI?

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.

🆘 Is AGI dangerous for humans?

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).

#ElonMusk @hiaimediaen
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📚 5 new books about AI

We prepared the latest bestselling books about artificial intelligence's past, present, and future from leading scientists and researchers.

1️⃣ "Literary Theory for Robots. How Computers Learned to Write". Dennis Yi Tenen.

A former Microsoft engineer-turned-English Literature professor at Columbia University explores AI from philosophical, religious, and cultural perspectives.

2️⃣ "The Eye of the Master. A Special History of Artificial Intelligence". Matteo Pasquinelli.

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."

3️⃣ "Generative AI in Practice". Bernard Marr.

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.

4️⃣ "Deep Utopia. Life and Meaning in a Solved World". Nick Bostrom.

One of Elon Musk's favorite authors, Oxford philosophy professor Nick Bostrom, describes a world where AI performs all tasks far better than humans.

5️⃣ "The Heart and the Chip. Our Bright Future with Robots". Daniela Rus, Gregory Mone.

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.

More on the topic:

⚪️ Barak Obama: "What I read about AI"

⚪️ 10 books Elon Musk thinks everyone should read

#mustread @hiaimediaen
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📣 Hi, everyone! We want to share a significant milestone with you: the number of users of our bot has exceeded 11.5 million people! The number of readers in this channel has reached 100,000 people!

We are always happy to receive your feedback. Write comments, give likes, and suggest new topics. Thank you for being with us 👍

As usual, we are sharing the most interesting news from the world of AI for the 16th week of 2024 in our Sunday digest.

AI NEWS

🤖 GPT-4-Turbo has taken the top spot in the ranking of LLMs. This ranking is based on user voting and pairwise comparisons.

🦙 Meta AI has released Llama 3 — the largest open-source language model. You can test it for free.

👾 VASA — hyper-realistic talking avatar. A new AI model from Microsoft enables the creation of avatars that move and speak like real people.

SAVE THIS — IT'S HELPFUL

🎨 AI for logo creation. 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.

TO READ

⚔️ Sir Demis Hassabis: the knight of AI. Google DeepMind CEO Hassabis recently received the title of Sir and a knighthood for his contributions to AI development.

🍻 A better beer with a little help … from AI! AI analyzed data about beer and learned to predict its popularity better than humans.

📚 5 new books on the past, present, and future of artificial intelligence from top global scientists and researchers.

🤔 What is AGI? The mission of OpenAI, like that of Google DeepMind, is to create Artificial General Intelligence. What is it and when can we expect it?

#AIweek | @hiaimediaen
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