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5 Generative AI Use Cases Companies Can Implement Today

Towards Data Science

And tech giants like OpenAI, Google, Amazon, and Microsoft have been flooding the market with features driven by large language models (LLMs) and image-generating diffusion models. They promise to help companies analyze data at scale, summarize and synthesize information, generate content, and otherwise transform their businesses.

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Extra Crunch roundup: Antitrust jitters, SPAC odyssey, white-hot IPOs, more

TechCrunch

I'm taking the credit/blame for this headline [link]. Measuring objectives and key results are core to every enterprise, perhaps more so these days since knowledge workers began working remotely in greater numbers last year. ” Flexible VC: A new model for startups targeting profitability. If you live in the U.S.,

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6 Miami-based investors share their views on the region’s startup scene

TechCrunch

Our fund targets two primary themes: B2B vertical SaaS and SaaS-enabled businesses/marketplaces, and broadly what we call knowledge worker tools — DevOps, cybersecurity and other typically product-led horizontal applications. We have also invested in marketplace business models in products disrupting travel, pets, solutions for SMBs.

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Why Anthropic’s Claude still hasn’t beaten Pokémon

Ars Technica

OpenAI is quietly seeding expectations for a "PhD-level" AI agent that could operate autonomously at the level of a "high-income knowledge worker" in the near future. Anthropic made headlines by trumpeting how Claude 3.7 Elon Musk says that "we'll have AI smarter than any one human probably" by the end of 2025.

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How AI Takeover Might Happen in 2 Years

The AI Alignment Forum

OpenEye recently published a new AI model they call U2. Let models think until they arrive at an answer. Models are learning to train themselves. While U2 could do a bit of data munging and run small experiments, this new model the model researchers are calling U3 is changing the daily lives of the technical staff.