Over the past two weeks, we've had another landslide of generative AI news, mostly revolved around large language models (LLM). Llama 3 was the biggest story, but the debut of new models by Microsoft, Mistral, and X.ai also pointed to a downstream impact. We also have a couple of nine-figure funding rounds, a nine-figure acquisition, and a new unicorn valuation is confirmed. #generativeai

🎉 Exciting GAIN episode today at 11 AM ET! 🚀 Today's show is jam-packed: Meta's Llama 3 redefines open source models, Microsoft's Phi delivers powerful results in a smaller package, and Apple strategically expands its AI footprint. Google reshapes its organization for AI, Perplexity AI secures its unicorn status, AWS upgrades Bedrock, Adobe amplifies its AI offerings, with more hot news from Snowflake, NVIDIA, Hugging Face, Parloa, and More! #Opensource #GenerativeAI #TechTrends #AIInnovation

Entertainment in the age of LLMs is starting in 5 minutes. A deep dive on generative AI with Amazon Alexa and so much more. Join me and Emerson Sklar now or register for recording access. https://lnkd.in/eRQR_ajc

It's always great to see a podcast orient a segment around a Synthedia article. Even better to hear Charles Araujo and Hyoun Park of Amalgam Insights extend this conversation and apply the insights from Yann LeCun to the impact on enterprise CIOs regarding key limitations of autoregressive LLMs in regards to AGI.

Here are 15 stories from the last week that shaped the generative AI industry momentum. We have updates around Google Cloud Next, the LLM announcement gauntlet continues, new funding rounds, and text-to-music apps. This week’s news concludes with a discussion around the shortcomings of autoregressive large language models (LLM) and why the technology is unlikely to achieve artificial general intelligence (AGI). #generativeai

xAI just announced Grok-1.5V, its multimodal vision model. This comes less than two weeks after the LLM debuted. The benchmark results look impressive. There are some interesting market implications of what X.ai has done in just ten months. Now, the question is whether the company can secure a deal with a cloud hosting provider (Amazon Web Services (AWS) 😀) and land some customers. For a full breakdown, check out the article. Also, let me know your thoughts. Allen S. Firstenberg Paul Sweeney Michal Stanislawek Matthew Howard #generativeAI #llm #grok #elonmusk https://lnkd.in/egQXVgGb

We begin this news update with three thematic discussions. The generative AI myths segment reviews the recent Stargate rumors and why journalists are so easily co-opted into publishing stories that may have a seed of truth shrouded in impractical, nonsensical claims. We also discuss three news items highlighting how generative AI is transforming the search market and the coalition of companies that want to displace NVIDIA from its generative AI throne. That is followed by an onslaught of news from the end of March and early April, including an LLM rundown that includes announcements from Anthropic, X.ai, Databricks, and AI21 Labs, as well as a dedicated section on OpenAI announcements. Funding highlights include HeyGen and Hailo. There is also news from Adobe, Opera, Samsung, Open Interpreter, and Financial Times. #generativeai

🔥 Join Eric and me today for the latest episode of GAIN: The Generative AI News Show! 🎉 🌟 In this episode, we’ll dive into Google Cloud Next. We have model news from Mistral and Cohere, updates on GPT-4 Turbo, and a breakdown of Yann LeCun’s thoughts on the future of LLMs. Plus, we’ll cover Music Gen News from UDIO, Stability AI, and Spotify’s new playlist feature. And that’s not all! We’ll also discuss funding news and product features—all on today’s GAIN. #AI #GenerativeAI #GoogleCloudNext #GAINShow 🚀✨

What a great application of ethical generative AI use and great execution through PartyRock. The UI layout features of PR really come in handy on this one.

I see some people are picking up on Yann LeCun's recent comments regarding the limitations of autoregressive LLMs. Here is an in-depth breakdown (with references to several research papers) of the 4 areas that make this approach unlikely to achieve AGI. Let know what you think. Do you take the other side of this debate? *4 Shortcomings* 🌍 Understand of the world (e.g. world model) 🧠 Persistent memory 🧐 Reasoning 🧭 Planning Michal Stanislawek Paul Sweeney Katie McMahon Allen S. Firstenberg Shyamala Prayaga Mitch Lieberman Tobias Dengel Peter Erickson Paul Baier Aravind Srinivas Cobus Greyling Peter Gostev Matthew Howard Armand Ruiz João Paulo Alqueres 🧜♀️ https://lnkd.in/eMctz7dj