This article was originally published on Addy Osmani’s blog. It’s being reposted here with the author’s permission. Roughly: Anytime you find an agent makes a mistake, you take the time to engineer a solution such that the agent never makes…
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Have you ever designed a model that achieved 95% accuracy… but failed to meet the needs of half the users? Yes, me too. I spent weeks on the data. Practice overnight. It took off with a bang. Then the complaints…
Four GCC HSE leaders sharing honest insights on workplace AI The Gulf Cooperation Council (GCC) is in the middle of one of the most ambitious construction booms in history. Saudi Arabia’s Vision 2030, NEOM, or the Red Sea Project, are…
Scientific achievement reaches its full potential only when it enables others to replicate and extend findings, pushing the boundaries of science even further. At Google Research, we know that open source software and open access datasets drive modern science. We…
Two years later, Acemoglu’s measured approach has not resonated. Talk of an AI jobs apocalypse is popping up everywhere, from Senator Bernie Sanders’ rallies to conversations overheard in line at the grocery store. Some previously skeptical economists have gotten more…
We’re excited to announce day one support for NVIDIA Nemotron 3 Nano Omni on Clarifai. Available now on Clarifai inference engineNano Omni delivers fast multi-modal thinking to developers building agent systems, delivering throughput of over 400 tokens per second. NVIDIA…
Every leader trying to navigate the AI landscape faces a similar challenge: how to keep up with technology that moves faster than our institutions, policies, and economic framework.
Agentic artificial intelligence (AI) is set to fundamentally reshape the structure of corporate work and commerce. Rather than simply responding to instructions, these agents actively participate in the workflow by planning tasks, creating and using tools, correcting their errors, and…
Latest interview on our site series with AAAI/SIGAI Doctoral Consortium Participant features Shiming Wen Who is looking for transparent and trustworthy AI systems. We found out more about her work, her experience as a trainee researcher, and what inspired her…
A model trained on poorly classified imaging data produces inaccurate predictions and risks misdiagnosis and poor clinical outcomes. This raises a noteworthy question: what really defines a specialist medical imaging data provider, and why are clinically safe AI models so…
Voice AI has a dirty secret. Most text-to-speech systems sound fine — until they don’t. They can read a sentence. What they cannot do is mean it. The rhythm is off. The emotion is flat. The speaker sounds like themselves…
