Meta Llama came up in “Dataflow Computing for AI Inference with Kunle Olukotun - #751” from The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence).
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be necessary over that highly con strain that critical resource, that HBM bandwidth, right? And so reconfigurable data. Data flow does this by, you know, you think go back to your streaming uh idea, right? So if you take uh uh a LLM model, right? So let's take a simple one. like…
Meta Llama came up in “Meta's New Model, Gemini 4, OpenAI Proposes AI Policy” from Artificial Intelligence: Educational AI News.
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So you're not juggling tabs and juggling subscriptions. Alright, let's get into the first story, which is Google Gemini. I want to talk about their new open source uh situation with Gemini 4. So earlier this year. This week they have released Apache two point zero license, and b…
Meta Llama came up in “Meta's New Model, Gemini 4, OpenAI Proposes AI Policy” from AI Chat: AI News & Artificial Intelligence.
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So you're not juggling tabs and juggling subscriptions. Alright, let's get into the first story, which is Google Gemini. I want to talk about their new open source uh situation with Gemini 4. So earlier this year. This week they have released Apache two point zero license, and b…
Meta Llama came up in “Running AI MCP Tools on Kubernetes with kagent” from Agentic DevOps : AI Engineering for Infrastructure.
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operate in. And before we jump into what these the agents just jump back to what an agent is, the system prompt, the LLM. I want to just highlight something that we didn't mention and that is LLM is in the middle of this. So everything to do with LLMs, regardless of agents, like…
Meta Llama came up in “Artificial Analysis: Independent LLM Evals as a Service — with George Cameron and Micah-Hill Smith” from Latent Space: The AI Engineer Podcast.
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I agree that it can be helpful, but I'm not sure if you're We wanted to generalize this to a very large number of models. That's one of the reasons that presenting it as ELO is quite helpful. and allows us to add models and it'll stay relevant for quite a long time. I also think…
Gemini 2.0 and other things and Q2, we said that innovation outright control and then we went into all this coding assistance. Llama 4, Cloud 4, and then in the Q3, we went into the inflection point where GPT-5 star.
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predictions. Maybe before getting into the twenty twenty six predictions, what are your th big thoughts about what happened in twenty twenty-five? Of course we talked about all the four quarters starting with Q1 when I talk about we where AI is no longer saying everywhere, but i…
Meta Llama came up in “What is vLLM? | Agentic AI Podcast by lowtouch.ai” from Agentic AI Podcast.
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But historically, hosting a massive model on premise was a nightmare. It was slow. Or eye touch. Exactly. But VLLM changes the economics because it makes serving so much more efficient. It suddenly becomes viable to deploy what production is. Deep calls a private AI appliance. o…
Meta Llama came up in “#177 - Instagram AI Bots, Noam Shazeer -> Google, FLUX.1, SAM2” from Last Week in AI.
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But that also just shows how tricky it can be to create frontier models. And how even if you are a huge, well-capitalized company like Apple with so much great talent, that doesn't automatically mean that you can jump to the frontier. on AI. And I think it eventually they could…
Meta Llama came up in “Does Learning Require Feeling? Cameron Berg on the latest AI Consciousness & Welfare Research” from "The Cognitive Revolution" | AI Builders, Researchers, and Live Player Analysis.
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Hello and welcome back to the Cognitive Revolution. Today I'm thrilled to welcome Cameron Burke. Berg back for his second appearance on the podcast. When Cameron was first here last year. Last November we went deep on his fascinating mechanistic AI consciousness research. Which…
Meta Llama came up in “Can an AI Agent Legally Own a Company? Christian van der Henst's Wild Experiment| E2283” from This Week in Startups.
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You know, um go work on an open source project when they have this once in a lifetime chance to take down ten or twenty or fifty or a hundred million dollars if in equity. So the answer is it's very hard to compete with that. There is one American company, Reflection AI, that is…
Meta Llama came up in “Evaluating LLMs with Chatbot Arena and Joseph E. Gonzalez” from Gradient Dissent: Conversations on AI.
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Um and so yeah, th this idea that uh correctness is only a small piece of the story. uh is pretty neat. And it it gets back to I guess human preference that human preference is a correctness but it's about a whole lot more and vibes give us a uh you know a tool to understand tha…
Meta Llama came up in “Ben Goertzel on "Superintelligence"” from Machine Learning Street Talk (MLST).
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kind of brings in the alignment problem a little bit as well because people use that as as um a a way of talking about how dangerous it is. Do you think we have an alignment problem? Um I think the alignment problem Mm-hmm. Aaron Powell What do you mean by that? Well, so If you…