What if the future of artificial intelligence wasn’t about building ever-larger models but instead about doing more with less? In a stunning upset, the 27-million-parameter Hierarchical Reasoning ...
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Alibaba's Metis agent cuts redundant AI tool calls from 98% to 2% — and gets more accurate doing it
Alibaba's HDPO framework trains AI agents to skip unnecessary tool calls, cutting redundant invocations from 98% to 2% while ...
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“We’ve Created an AI That Thinks Like the Human Brain”: This Startup Beats ChatGPT With 1,000 Times Fewer Parameters
A new AI architecture developed by a small Singaporean startup has made headlines after outperforming major large language models like OpenAI’s GPT-4 and Anthropic’s Claude on a notoriously difficult ...
The trend of AI researchers developing new, small open source generative models that outperform far larger, proprietary peers continued this week with yet another staggering advancement. The goal is ...
Demis Hassabis (DeepMind CEO) and other AI leaders sees the next big AI gains—and the path to AGI—will come from targeted algorithmic breakthroughs in areas ...
It's cheap to copy already built models from their outputs, but likely still expensive to train new models that push the boundaries. Reading time 4 minutes It is becoming increasingly clear that AI ...
A small-scale artificial-intelligence model that learns from only a limited pool of data is exciting researchers for its potential to boost reasoning abilities. The model, known as Tiny Recursive ...
OpenAI on Friday launched a new AI “reasoning” model, o3-mini, the newest in the company’s o family of reasoning models. OpenAI first previewed the model in December alongside a more capable system ...
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