The Three Questions That Determine #AI Readiness
by Brian Harmison @Forbes Learn more: https://
bit.ly/4tX0KHm #ArtificialIntelligence #MachineLearning #FutureOfWork
ENTERPRISE AI
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Three Questions Determine AI Readiness on Forbes
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AI on the Assembly Line: Instant Potato Counting with Minimal Training
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#AI on the Assembly Line: Instant Potato Counting with Minimal Training
by @IlirAliu_ #ArtificialIntelligence #MachineLearning #ML #MI -
CoffeeBench: Cooperation and Competition among LLM Agents
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In CoffeeBench, 6 agents interact via emails or transactions, each company aiming to maximize its profits. When the company where LLM agents manage operations arrives, how will cooperation, competition, and sometimes the
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How AI Could Blow Up Corporate Hierarchies
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How AI Could Blow Up Corporate Hierarchies #AI is set to reshape #workplace hierarchies by giving individuals the power to do work that once required entire #teams. As AI literacy becomes a source of influence, #businesses will need to rethink status, #management, #promotion and
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AI transforms personalized healthcare at scale
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The true shift isn't just in early detection, but in how AI can scale personalized treatment plans across healthcare systems. This scale-up is where AI's impact will be most transformative.
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Companies overlook fine-tuned self-hosted GLM; users prefer brand names
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Most companies are not even thinking about giving every employee a fine-tuned self-hosted version of GLM that they need to update and keep harnessed and build connectors for. There are lots of places where roll-your-own AI stacks make sense, but end users want name brands.
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Companies’ AI stack plans vs employee demand for simple ChatGPT access
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I feel like on X all you hear about is elaborate plans by firms to build their own AI stacks but in my experience companies are full of people who want access to Claude or ChatGPT and are pressuring their purchasing staff to get licenses so they can just use the tools they know.
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Nvidia’s biggest moat is not CUDA or GPUs
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It's actually way dumber than that. CUDA is not even the biggest Nvidia moat. And neither are the GPUs. Both of those could be completely commoditized tomorrow and it would hardly have any impact on Nvida's AI infra dominance.
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US can ban open weights models for companies
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As this post points out, contrary to what many say, the US government could absolutely effectively ban open weights models. That doesn’t mean you won’t be able to download the weights & run them, but they can ensure that no US company would use or provide access or host them
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GLM 5.2 drives enterprises off cloud, checkmate for open-source AI
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Thanks to GLM 5.2, I know for a fact that enterprises are moving off the cloud, acquiring compute, and working on having post-trained models for their own use cases. It's checkmate for Opensource AI, they just don't know it yet.