VentureBeat is an American technology website that serves as a tech news source, publishing news, analysis, long-form features, interviews, and videos. It was founded in 2006 by Matt Marshall, a former correspondent for The Mercury News. The company has also raised outside investor funding from Silicon Valley venture capitalist firms and produces various themed industry events.

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Microsoft continues to rollout innovations in #AI, offering a comprehensive AI solution portfolio including developer tools, application services and infrastructure that accelerate AI production – experience the latest in AI with Microsoft sessions at NVIDIA #GTC24. We're covering them here!

https://bit.ly/3SKWE4c

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We may see the 'candidacy' of an AI-created persona in coming elections. Indeed, the technology to create such deepfakes already exists. #AI #ArtificialIntelligence #GenerativeAI #Deepfakes 
https://bit.ly/49ynOmo

AI makes the humanities critically important — and not just because science hasn’t yet provided answers to classic philosophical questions. #GenerativeAI #AI #LLMs #ArtificialIntelligence
https://bit.ly/3IcyuLm

#GenerativeAI, #IAM, culture-based programs will shape #cybersecurity in #2024, Gartner says. The firm says that 2024 will be the year that gen AI-driven #security products finally emerge, and 2025 will see those tools delivering real risk-management outcomes. Read more: https://bit.ly/3OUhKvW

Amazon Web Services (AWS) will add Mistral AI #opensource #AI #models to Amazon Bedrock. It makes sense for AWS to offer a wide range of models, and the move follows its cloud competitor Microsoft adding Meta's open-source #Llama AI models to its Azure AI Studio. Read more: https://bit.ly/49DlxGc

Google's chaotic and confusing #AI branding and product strategy risks undermining public trust, but may actually represent an intentional, if flawed, approach to rapid public beta testing. #generativeAI Read more: https://bit.ly/48JjorD

NEW: Everyone is talking about NVIDIA’s jaw-dropping earnings results — up a whopping 265% from a year ago. But don’t sleep on Groq, the Silicon Valley-based company creating new AI chips for large language model (LLM) inference (making decisions or predictions on existing models, as opposed to training). Last weekend, Groq suddenly enjoyed a viral moment most startups just dream of. 

Sure, it wasn’t as big a social media splash as even one of Elon Musk’s posts about the totally unrelated large language model Grok. But I’m certain the folks at Nvidia took notice after Matt Shumer, CEO of HyperWrite (OthersideAI), posted on X about Groq’s “wild tech” that is “serving Mixtral at nearly 500 tok/s” with answers that are “pretty much instantaneous.” 

Shumer followed up on X with a public demo of a “lightning-fast answers engine” showing “factual, cited answers with hundreds of words in less than a second” —and suddenly it seemed like everyone in AI was talking about and trying out Groq’s chat app on its website, where users can choose from output served up by Llama and Mistral LLMs.

While no company can challenge Nvidia dominance right now — Nvidia enjoys over 80% of the high-end chip market; other AI chip startups like SambaNova and Cerebras have yet to make much headway, even with AI inference; Nvidia just reported $22 billion in 4th quarter revenue — Groq CEO and founder Jonathan Ross told me in an interview that the eye-watering costs of inference make his startup’s offering a “super-fast,” cheaper option specifically for LLM use.

In a bold claim, Ross told me that “we are probably going to be the infrastructure that most startups are using by the end of the year,” adding that “we are very favorable towards startups — reach out and we’ll make sure that you’re not paying as much as you would elsewhere.”

Read the full story: 

https://lnkd.in/ep2crBPV

Jasper acquires Stability AI's Clipdrop to strengthen #marketing #copilot. Jasper will integrate the entire set of capabilities Clipdrop has on offer into its #AICopilot, creating a much better experience for designing campaigns. Read more: https://bit.ly/3IbBCHo

Allocations, an #AI-powered alternative investing platform, just crossed $2 billion in assets as it transforms private capital fundraising with machine learning (#ML). Read more: https://bit.ly/49L6I42

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