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14:25ENTesting Phi-3 Vision, LLaVA-Llama 3 and GPT-4o on ImagesMatthew Berman · Forward FutureMatthew Berman compares three 2024 vision setups on image descriptions, screenshots, a meme and table extraction, with mixed results.
9:53ENTesting Microsoft Phi-3 Medium Locally: Mixed Coding and Reasoning ResultsMatthew Berman · Forward FutureMatthew Berman runs a quantized Phi-3 Medium on a MacBook and explores coding, arithmetic and reasoning prompts.
12:50ENTesting Smaug: Hosted 70B Versus a Smaller Local ModelMatthew Berman · Forward FutureMatthew Berman compares two Smaug configurations on Snake, math and reasoning puzzles.
25:07ENGoogle I/O 2024: Gemini, Project Astra and AI Across Google’s ProductsSundar Pichai, Josh Woodward, Demis Hassabis · GoogleA guided look at Google’s 2024 demonstrations, from multimodal assistants and generative media to Workspace, Android and developer models.
51:00ENArthur Mensch on Mistral’s Open Models, Compute and Developer StrategyInvitado: Arthur Mensch · Presenta: Harry StebbingsThe Mistral AI co-founder explains the company’s mix of open and commercial models, its compute constraints and its bet on efficient developer tools.
21:47ENPhi-3 Mini: Microsoft’s Small Model, Phone Deployment and an Uncertain Local TestMatthew Berman · Forward FutureMatthew Berman reviews Microsoft’s 2024 technical report and runs informal prompts, with an unresolved model label in the demonstration.
12:51ENLlama 3 70B on Groq: Fast Inference and an Informal Prompt TestMatthew Berman · Forward FutureMatthew Berman tests coding, reasoning and repeated prompts on Groq’s April 2024 Llama 3 service, with mixed results and several scoring caveats.
1:42:17ENThe Cheapest Inference Provider Is the Most DangerousPresenta: Nathan LabenzFireworks AI cofounders Lin Qiao and Dmytro Ivchenko explain why subsidized GPU bills vanish, how LoRA serving can cut cost a hundredfold, and why OpenAI is the rival that actually matters.
15:01ENTesting Llama 3 at Launch: Code, Reasoning and Image GenerationMatthew Berman · Forward FutureMatthew Berman tries Meta AI’s new interface on a snake game, logic puzzles and rapid image generation.
15:35ENMeta Llama 3 Launch: Benchmarks, a Snake Test and the Meta AI AssistantMatthew Berman · Forward FutureMatthew Berman reviews the April 2024 release, tries a generated game and considers what downloadable models mean for developers.
0:55ENMeta Llama 3: A Quick Coding and Image DemonstrationMatthew Berman · Forward FutureMatthew Berman reviews the initial 8B and 70B Llama 3 release and tries a Python Snake game and an image prompt.
12:02ENTesting Karasu Mixtral 8x22B on Coding and Reasoning TasksMatthew Berman · Forward FutureMatthew Berman tries an early community fine-tune of Mistral's large mixture-of-experts model on a Snake game, arithmetic and logic puzzles.
14:23ENTesting DBRX: Coding Strengths and Reasoning GapsMatthew Berman · Forward FutureMatthew Berman examines Databricks’ open-weight model and puts it through coding, arithmetic and reasoning prompts.
14:11ENLM Studio in 2024: Local Models, Parallel Inference and a Local APIMatthew Berman · Forward FutureMatthew Berman demonstrates model downloads, hardware settings, JSON output and serving multiple local models.
0:54ENxAI Releases Grok-1 Weights and ArchitectureMatthew Berman · Forward FutureMatthew Berman discusses the 2024 release of Grok-1's mixture-of-experts base model and its Apache 2.0 license.
8:26ENTesting Grok on X After the 2024 Grok-1 Weight ReleaseMatthew Berman · Forward FutureMatthew Berman tries coding and reasoning prompts in the hosted Grok interface, with mixed results.
4:49ENxAI Releases Grok-1 Base Weights Under Apache 2.0Matthew Berman · Forward FutureMatthew Berman discusses the March 2024 release of a 314-billion-parameter mixture-of-experts model and the context of Elon Musk’s dispute with OpenAI.
52:06ENYann LeCun on World Models, Open AI and the Path to Advanced IntelligenceMatthew Berman, Yann Lecun, Lex Fridman · Forward FutureMatthew Berman reacts to excerpts from LeCun’s 2024 conversation with Lex Fridman, covering language models, JEPA, robotics, AI safety and economic incentives.
2:47:17ENIf You Want Human-Level AI, Abandon Generative ModelsInvitado: Yann Lecun · Presenta: Lex FridmanYann LeCun tells Lex Fridman why autoregressive LLMs cannot plan, remember, or understand the physical world — and why open source is the only democratic answer.
23:00ENTesting Google Gemma 7B at Launch: Setup MattersMatthew Berman · Forward FutureMatthew Berman compares local and hosted tests of Google’s early open-weight model.
27:07ENSam Altman on AI Abundance, Regulation and the Economics of ComputeMatthew Berman, Sam Altman, Chamath Palihapitiya · Forward FutureA 2024 World Governments Summit interview is followed by Matthew Berman’s discussion of chip investment and open-model competition.
6:56ENWhy Meta Said Open AI Infrastructure Serves Its BusinessMatthew Berman, Mark Zuckerberg · Forward FutureMatthew Berman revisits Meta’s open-development history and Mark Zuckerberg’s 2024 case for sharing AI infrastructure.
9:25ENMatthew Berman Tests Meta’s Code Llama 70B on a Snake GameMatthew Berman · Forward FutureA 2024 look at Meta’s coding-model release, a SQL-focused fine-tune and a hands-on test that did not work on the first attempt.
7:20ENUsing Cody and Ollama for Local Code CompletionMatthew Berman · Forward FutureIn a sponsored 2024 tutorial, Matthew Berman sets up Code Llama 7B for Cody autocomplete and demonstrates additional hosted coding features.
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