🌐 AI Evolution: Data Wars, StableLM & Google DeepMind

What’s hot in AI today?

1. ☠Data Wars: Elon Musk, Microsoft, and the High-Stakes Battle for AI Supremacy

2. 🤖Meet StableLM: The Revolutionary Open-Source AI Powerhouse Changing the Language Model Game

3. 🧠Google DeepMind: Uniting AI Titans to Revolutionize the Future of Artificial Intelligence

5 minute read

☠Data Wars: Elon Musk, Microsoft, and the High-Stakes Battle for AI Supremacy

Elon Musk's recent threat to sue Microsoft over alleged illegal use of Twitter data underscores the growing tensions in the AI industry, where access to data is becoming increasingly crucial. As tech giants like Microsoft invest heavily in AI, they are vying for the vast amounts of data needed to train large language models like ChatGPT, developed by OpenAI. The race to control data has led to disputes and potential legal battles, as companies are willing to go to great lengths to gain a competitive edge.

The conflict between Musk and Microsoft erupted after the latter's advertising platform decided to stop supporting Twitter, reportedly due to the social media giant's new requirement for payment to access its API. With large corporations potentially facing charges of up to $42,000 per month for API access, the cost of obtaining data is becoming a contentious issue. As the AI landscape evolves, data ownership and access are expected to become even more vital and contested battlegrounds among industry players.

Key Points:

• Elon Musk threatens legal action against Microsoft over alleged illegal use of Twitter data

• Access to data is increasingly crucial in the competitive AI industry

• Twitter's decision to put its API behind a paywall intensifies tensions between tech giants

• Data ownership and access expected to become increasingly contentious in the AI landscape

• High costs of data access are causing disputes and potential legal battles

🤖Meet StableLM: The Revolutionary Open-Source AI Powerhouse Changing the Language Model Game

Stability AI has introduced a new open-source language model, StableLM, as part of its commitment to making foundational AI technology accessible to all. The Alpha version, which features 3 billion and 7 billion parameter models, is now available, with models ranging from 15 billion to 65 billion parameters in the pipeline. StableLM, trained on a dataset three times larger than The Pile, offers high performance in conversational and coding tasks despite its relatively small size, when compared to models like GPT-3. [Github]

StableLM emphasizes transparency, accessibility, and support for its users. By open-sourcing the models, Stability AI encourages researchers to verify performance, develop interpretability techniques, and identify potential risks. The models are designed to run on local devices, enabling developers to create applications compatible with widely-available hardware. Furthermore, the AI is developed to support users, focusing on efficient, specialized, and practical performance rather than aiming for god-like intelligence.

Key Features:

• Open-source language model suite with varying parameters

• High performance in conversational and coding tasks

• Transparent, accessible, and supportive AI technology

• Compatibility with local devices for independent application development

• Collaborative approach with ongoing model releases and team expansion

🧠Google DeepMind: Uniting AI Titans to Revolutionize the Future of Artificial Intelligence

In an ambitious move to accelerate progress in artificial intelligence and develop more advanced, safe, and responsible AI systems, Google and Alphabet CEO Sundar Pichai has announced the formation of Google DeepMind. This powerhouse unit will combine the expertise of two leading research groups in the AI field: the Brain team from Google Research and DeepMind. This collaboration aims to maximize the impact of AI on Google's core products, help businesses and developers via Google Cloud, and demonstrate AI's potential to tackle pressing societal issues like health and climate change.

Pichai explained, With the joint efforts of both research teams and their extensive achievements in AI, including AlphaGo, Transformers, word2vec, WaveNet, AlphaFold, and more, Google DeepMind is poised to become a game-changing force in the AI landscape. Demis Hassabis will lead as CEO of Google DeepMind, while Jeff Dean assumes the elevated role of Google's Chief Scientist, reporting directly to Pichai. Google Research will continue to focus on fundamental advances in computer science and report to James Manyika. As the tech giant embarks on this exciting new chapter, the world can expect to see incredible advancements in the development and application of AI.

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