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32:48EN
No Priors: AI, Machine Learning, Tech, & Startups· Nov 16, 2023Podcast · 2 speakersFourteen People, $200 Million of Compute, and the Reliability Bottleneck for AgentsHost Sarah Guo, Elad GilImbue co-founders Kanjun Qiu and Josh Albrecht on why agents fail, why language models cannot learn general algorithms, and why they are spending a giant round on GPUs rather than headcount.
5:31EN
Matthew Berman· Oct 30, 2023Connecting MemGPT to AutoGen AgentsMatthew Berman · Forward FutureIn a 2023 tutorial, Matthew Berman configures a MemGPT-backed coding agent alongside an AutoGen product manager and runs a short group chat.
7:02ENMatthew Berman· Oct 18, 2023Connecting AutoGen to a RunPod-Hosted Model with Text Generation WebUIMatthew Berman · Forward FutureIn a 2023 walkthrough, Matthew Berman connects AutoGen to Dolphin 2.1 Mistral 7B through an OpenAI-compatible API and tests a small coding task.
15:03ENMatthew Berman· Oct 10, 2023A 2023 AutoGen Tutorial: Local Agent Setup and Code ExecutionMatthew Berman · Forward FutureMatthew Berman builds a local assistant and user-proxy workflow, then tests how the agents generate and run Python. AutoGen’s packages and APIs have changed since this tutorial.
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Cognitive Revolution "How AI Changes Everything"· Oct 5, 2023PodcastThere are maybe 5,000 people who can train frontier models. The rest need AI engineersHost Nathan LabenzSwyx of Latent Space tells Nathan Labenz how a new job is forming, why OpenAI will Sherlock its developers, and what still does not count as an agent.
7:32ENMatthew Berman· Oct 4, 2023MageGPT Generates a Wasp To-Do App: A 2023 DemonstrationMatthew Berman · Forward FutureMatthew Berman uses a Wasp-sponsored app generator to build, run and deploy a basic full-stack to-do app.
18:23ENMatthew Berman· Oct 2, 2023Early ChatGPT Vision Examples: From Diagrams to Code and Visual MistakesMatthew Berman · Forward FutureMatthew Berman surveys 2023 image-input demonstrations, including education, design and programming, and examines examples that were not verified or got details wrong.
2:17:30ENCognitive Revolution "How AI Changes Everything"· Sep 29, 2023PodcastGemini Became the Daily Driver. A GPT-5 Worthy of the Name Would Make Agents Work.Host Nathan LabenzZvi Mowshowitz returns to Cognitive Revolution to unpack Gemini 1.5, Sora, superalignment, sleeper agents, and the live-player map of frontier labs.
29:38ENNo Priors: AI, Machine Learning, Tech, & Startups· Sep 21, 2023Podcast · 2 speakersA Beginner Just Shipped a $250K Business. Professionals Got 30 Percent.Host Sarah Guo, Elad GilReplit CEO Amjad Masad on Ghostwriter, why a 3-billion-parameter model was enough, and the agents he wants earning bounties while you sleep.
9:59ENMatthew Berman· Sep 7, 2023Open Interpreter: A 2023 Local Code-Execution WalkthroughMatthew Berman · Forward FutureMatthew Berman installs Open Interpreter, analyzes local files with GPT-4 and tries a local Code Llama setup, with mixed results.
4:35ENMatthew Berman· Sep 5, 2023Running WizardCoder on a Cloud GPU: A 2023 RunPod WalkthroughMatthew Berman · Forward FutureMatthew Berman demonstrates downloading a quantized 13B coding model into a hosted text-generation interface, then explains how to stop the pod and avoid ongoing charges.
14:59ENMatthew Berman· Sep 2, 2023AI News in September 2023: Tesla, Code Llama, Drone Racing and CopyrightMatthew Berman · Forward FutureMatthew Berman surveys a week of AI announcements, from Tesla's driving demonstration and ChatGPT Enterprise to model releases, generative media and a copyright inquiry.
6:11ENMatthew Berman· Aug 31, 2023Running WizardCoder Locally with Text Generation WebUIMatthew Berman · Forward FutureMatthew Berman walks through a 2023 setup for a quantized Code Llama-based coding model, from the Python environment to a simple test prompt.
10:20ENMatthew Berman· Aug 30, 2023Phind Code Llama 34B vs GPT-4: A 2023 Python Coding TestMatthew Berman · Forward FutureMatthew Berman compares a quantized Phind fine-tune with GPT-4 on games, short functions and refactoring, with mixed results.
1:39:53ENCognitive Revolution "How AI Changes Everything"· Aug 8, 2023PodcastUnder 100 People, 24 Million Users: Replit's Bet on Artificial Developer IntelligenceHost Nathan LabenzMichele Catasta, Replit's new VP of AI, lays out a generate-execute-learn loop he will not call AGI, a 2x-to-1000x productivity ladder, and a keystroke-level data advantage.
1:45:46ENCognitive Revolution "How AI Changes Everything"· Aug 4, 2023PodcastReplit's $10 AI Programmer Already Pays for Itself. The Ambition Is Bots Hiring BotsHost Nathan LabenzTyler Angert, Replit's first product designer, explains Ghostwriter, a virtual developer, and why the company calls itself the perfect substrate for AGI.
11:07ENMatthew Berman· Jul 24, 2023Installing Llama 2 13B Chat and Testing Its ResponsesMatthew Berman · Forward FutureMatthew Berman demonstrates a 2023 local setup and tests a 13-billion-parameter chat model on coding, writing, arithmetic and reasoning. His small set of prompts illustrates both useful outputs and mistakes.
12:20ENMatthew Berman· Jul 10, 2023Testing UltraLM 13B: A Small Model’s Strengths and Reasoning ErrorsMatthew Berman · Forward FutureA 2023 local test finds useful writing and simple coding alongside failures in games, arithmetic and logic.
7:05ENMatthew Berman· Jul 2, 2023Aider’s Early Coding Assistant: Snake and an Existing Rails ProjectMatthew Berman · Forward FutureMatthew Berman demonstrates the terminal tool’s 2023 workflow, from generating and iterating on a game to proposing a dependency change in a repository.
6:26ENMatthew Berman· Jun 14, 2023Installing and Trying GPT-Engineer: A 2023 Snake Game WalkthroughMatthew Berman · Forward FutureMatthew Berman demonstrates the early project-generation workflow, from a Conda environment and prompt to clarification questions and generated Python files.
7:37ENMatthew Berman· May 25, 2023Smol Developer: Generating a Small Python Project From a PromptMatthew Berman · Forward FutureMatthew Berman walks through a 2023 project generator, from a simple Ruby example to a multi-file ChatGPT API program.
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Jane Street· May 18, 2023Richard Eisenberg on Dependent Types, OCaml, and AI-Assisted ProgrammingYaron Minsky, Richard Eisenberg · Jane StreetHow type systems can express correctness and performance, and why precise, readable specifications still matter when AI writes code.
41:40ENNo Priors: AI, Machine Learning, Tech, & Startups· Mar 30, 2023Podcast · 2 speakersEvery 10 Milliseconds Cost Copilot 1% of CompletionsHost Sarah Guo, Elad GilGitHub Copilot's chief architect, Alex Graveley, walks through how a leftover code model with a sub-10% test pass rate became a product developers would not quit — and what he is building next at Minion AI.
58:08EN
20VC with Harry Stebbings· Mar 11, 2023Podcast · 2 speakersAmjad Masad on Replit, Company Culture and AI-Assisted SoftwareGuest Amjad Masad · Host Harry StebbingsThe Replit founder discusses hiring, developer productivity and the opportunities and risks he saw in AI in 2023.Load moreShowing 24 of 326