The global AI hardware market size was estimated at $53.71 billion in 2023, and is expected to reach about $473.53 billion by 2033, at a compound annual growth rate of 24.5%, reports Precedence Research.
Anthropic has unveiled its new AI chatbot model, Claude 3, which surpasses OpenAI’s GPT-4 in various areas, particularly in coding. Claude 3’s variant, Claude Opus, boasts an 85% success rate in zero-shot coding tasks, outperforming GPT-4’s 67% and Gemini’s 74%. Additionally, Claude 3 excels in reasoning, math problem-solving, and basic knowledge. Anthropic’s more economical and swifter models, Claude Sonnet and Claude Haiku, also hold their own against the top models from OpenAI and Google.
Mistral AI’s large language model, Mistral Large, became available in the Snowflake Data Cloud for customers to securely harness generative AI with their enterprise data.
Apple is setting a new tone regarding AI in 2024.For the first time, the company is advertising M3 MacBook Air as an AI-running machine, boasting that the new MacBook is the “world’s best consumer laptop for AI.” Never before has Apple tied its hardware to AI so concretely.
Perplexity AI is reportedly nearing completion of a funding round that will give the AI search startup a unicorn valuation of around $1 billion.
Inflection-2.5 new model is competitive with all the world’s leading LLMs like GPT-4 and Gemini. Inflection-2.5 approaches GPT-4’s performance, but used only 40% of the amount of compute for training.
In a study testing divergent thinking, ChatGPT-4 outperformed 151 humans, showcasing superior creativity. The AI generated more original and elaborate solutions across different tests, highlighting its advanced capability in producing unique responses.
Prompt engineering, a role created to optimize AI interactions, is facing an existential crisis as new research indicates that AI models are more effective at generating prompts than human engineers.
AI-powered drone capable of recognizing and following people based on facial recognition technology was developped, raising concerns about privacy and public safety. This drone, initially presented as part of a game, demonstrates how easily such technology could be misused, including potential weaponization for terrorist purposes.
The University of Amsterdam’s RoboChem, an AI-powered robot, outperforms human chemists by optimizing chemical syntheses with higher yields and efficiency. Utilizing machine learning and automated lab equipment, RoboChem significantly advances laboratory productivity and cost-effectiveness in sectors like pharmaceuticals and renewable energy.
All LLMs models were tested about copyrighted content. The four models tested were OpenAI’s GPT-4, Anthropic’s Claude 2, Meta’s Llama 2 and Mistral AI’s Mixtral. ‘We pretty much found copyrighted content across the board, across all models.
Researchers from the National University of Singapore have developed a method to enhance the mathematical abilities of large language models. The new model, named GOAT, was fine-tuned using a synthetic dataset and significantly outperformed GPT-4 and other LLMs in arithmetic accuracy.
Zapata AI, in collaboration with various institutions, has successfully used quantum-enhanced generative AI to identify new cancer drug candidates, specifically targeting the KRAS protein.
Alibaba has unveiled EMO, an AI-powered video generator that animates still photos into talking and singing avatars, matching facial expressions and lip movements to audio inputs. The technology, which is based on Stable Diffusion, supports multiple languages and artistic styles.
A recent analysis of Upwork job postings since the release of ChatGPT shows a surge in opportunities in fields such as backend development, market research, and sales, reflecting an increased need for expertise in areas potentially complemented by AI capabilities. Conversely, there has been a noticeable decrease in listings for writing and translation jobs, hinting at the impact of AI’s proficiency in natural language tasks.
The Indian government is investing 103 billion rupees ($1.25B) in AI projects, including computing infrastructure and large language models (LLMs).