LLM (Large Language Model)
Artificial Intelligence systems using deep learning networks trained on a large amount of data. LLMs – such as Google Bard, OpenAI's GPT models, Meta's LLaMA and many more – were designed to "understand" and write natural language text. They can operate as next-level chatbots capable of reading and responding to many different languages – but they're also highly capable when it comes to writing and analyzing software code.
They are not generally considered to be sentient beings, but as of 2023, they frequently display such a subtle and broad command of language that they do an excellent impression. Along with their stunning writing ability, they're also proving extremely capable of performing a wide range of other tasks, and some believe LLMs will eventually form the foundation of the first artificial general superintelligence.
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Emerging startup Physical Intelligence has no interest in building robots. Instead, the team is powering the hardware with a foundational model AI 'brain', that enables existing machines to learn and dextrously perform many tasks – including housework. -
In a conversation with XPRIZE Founder Peter Diamandis, Musk laid out what he sees coming from the rising force of AI, while laying out a timeframe for SpaceX's first unmanned and manned Mars missions, and lots more. -
The next wave of game-changing AI models will soon be upon us – "agent" style models that'll be able to take over entire ongoing tasks and jobs with full autonomy. Anthropic's newest AI model gives us a sneak peek, by taking over your whole computer. -
The Toyota Research Institute has been doing some incredible work teaching robots to rapidly learn and perform tasks autonomously – now, it's bringing its Large Behavior Model tech to the extraordinary Atlas humanoid in partnership with Boston Dynamics. -
In what might be described as a real-life Black Mirror episode, a Harvard student uses facial recognition with $379 Meta Ray-Ban 2 smart sunglasses - to dig up personal data on every face he sees in real time. -
One of the more interesting and unique robots in the emerging humanoid space has received an unexpected upgrade. Shanghai's Fourier Intelligence has just launched the GR-2 – taller, heavier, smarter, more dextrous and much stronger than the GR-1. -
AIs have a big problem with truth and correctness – and human thinking appears to be a big part of that problem. A new generation of AI is now starting to take a much more experimental approach that could catapult machine learning way past humans. -
OpenAI's latest game-changing AI release has dropped. The new o1 model, now available in ChatGPT, now 'thinks' before it responds – and it's starting to crush both previous models and Ph.D-holding humans at solving expert-level problems. -
The first statistically significant results are in: not only can Large Language Model (LLM) AIs generate new expert-level scientific research ideas, but their ideas are more original and exciting than the best of ours – as judged by human experts. -
AI may not be the dire existential threat that many make it out to be. According to a new study, Large Language Models (LLMs) can only follow instructions, can't develop new skills on their own and are inherently "controllable, predictable and safe." -
ChatGPT is mediocre at diagnosing medical conditions, getting it right 49% of the time, according to a new study, highlighting that AI shouldn’t be the sole source of medical information and the importance of maintaining the human element in healthcare. -
Who’s funnier, AI or humans? A new study found that we find ChatGPT-generated comedy funnier than, or as funny as, comedy written by humans, including professional writers. The findings suggest that AI is no laughing matter for the entertainment industry.
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