#ThursdayThoughts Facebook Office today vs. 20 years back – you can go for it and achieve your dreams, can‘t you? Source @TerenceLeungSF #innovation #Facebook #tech #SocialMedia #AI #ML #Leadership #success #entrepreneur #startup #FutureofWork @CurieuxExplorer @enilev
BUSINESS
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US Tech Companies Losing Traditional IT Advantage in AI
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I don't think folks in large US companies realize that their traditional IT advantage over the rest of the world doesn't apply to AI.
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Uganda’s AI Access Advantage Over US Corporate Restrictions
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Everyone in Uganda with a cellphone with data has access to a better AI than most people at large companies in the US, because those companies have more restrictive AI policies and don't get access to GPT 4.
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Ellison and Musk Launch AI Agriculture Application
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Oracle CEO Larry Ellison said on the company’s earnings call that he and Elon Musk are collaborating. The duo will develop an AI-powered application for farms, helping to plan, predict, and increase agricultural output.
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Generative AI and 3D Design Innovation in Marketing Industry
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Come see Stephan Pretorius, Chief Technology Officer of @WPP
, at #GTC24 to delve into how the marketing and advertising industry is innovating with #generativeAI and 3D design using @NVIDIAOmniverse and enterprise AI technologies. https://
nvda.ws/43g3cwC -
Haiku pricing model: cost-effective enterprise AI solution
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Haiku's pricing model, with a 1:5 input-to-output token ratio, was designed for enterprise workloads which often involve longer prompts. Businesses can rely on Haiku for fast results at half the cost of other models in its performance tier.
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AI-First Hiring: Small Teams Outperforming Larger Human Teams
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I'm hiring AI-first employees. People who are excited and willing to integrate new tech into their workflows and stay curious. A team of 5 will be able to do more than a 50-person team regular human team soon
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Abacus AI Agents Now in Production Delivering Instant ROI
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Several organizations use Abacus AI and have pushed our AI agents to production! Our complex AI agents combine structured and unstructured data sources and can automate several tasks showing instant ROI.
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Corporate misconception: LLMs are not data analysis tools
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A big corporate misconception of Generative AI: Pre-LLM AI was training models on your data to find hidden insight. Firms are trying to do that with LLMs but they don't really work that way, they aren't analysis tools & your data matters less, they are pre-trained on the internet
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AI Development Bias: Software Engineers Overlook Marketing, Education, Law
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The Law of the Hammer is an issue in AI. The people who build AI are software engineers, and they obsess over the degree to which LLMs can (or cannot) automate software. Meanwhile, entire swathes of larger industries exposed to AI (marketing, education, law) get much less focus.
