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5 slides15:03EN
Matthew 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.Multi-agent systemsAgent engineeringCoding agents+2
1:32:41EN
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.Enterprise & strategyAgent engineeringCoding agents+3
3 slides7:32EN
Matthew 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.Coding agentsSoftware engineeringDeveloper workflows & testing
6 slides18:23EN
Matthew 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.Computer VisionMultimodal AIEducation+2
2:17:30EN
Cognitive 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.Enterprise & strategyAI StrategyProduct Strategy+3
29:38EN
No 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.Coding agentsDeveloper productivityOpen-weight models+3
4 slides9:59EN
Matthew 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.Coding agentsLocal inferenceDeveloper workflows & testing+2
4 slides4:35EN
Matthew 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.Models & trainingInfrastructure & deploymentCoding agents
3 slides14:59EN
Matthew 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.AI StrategyCoding agentsAutonomous Driving+2
3 slides6:11EN
Matthew 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.Local inferenceCoding agentsOpen-weight models+1
5 slides10:20EN
Matthew 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.Open-weight modelsCoding agentsEvals+2
1:39:53EN
Cognitive 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.Coding agentsDeveloper productivityAI startups & small teams+3
1:45:46EN
Cognitive 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.Coding agentsDeveloper productivityProduct Strategy+3
4 slides11:07EN
Matthew 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.Local inferenceOpen-weight modelsEvals+2
3 slides12:20EN
Matthew 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.Open-weight modelsEvalsModels & training+1
3 slides7:05EN
Matthew 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.Coding agentsDeveloper workflows & testingSoftware engineering+1
4 slides6:26EN
Matthew 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.Coding agentsDeveloper workflows & testingSoftware engineering
5 slides7:37EN
Matthew 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.Software engineeringCoding agentsDeveloper productivity+1
59:38EN
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.Software engineeringOpen-source ecosystemsCoding agents+1
41:40EN
No 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.Coding agentsProduct engineeringAI interface design+3
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.Coding agentsDeveloper productivityEntrepreneurship+2
32:48EN
Cognitive Revolution "How AI Changes Everything"· Feb 23, 2023PodcastA Hundred Million to Train, a Penny to InferHost Nathan LabenzIn a February 2023 roundtable, two founders argue on mic over whether AGI ends humanity — and who actually captures the value if it does not.Enterprise & strategyAGIExistential Risk+3
2:51:33EN
Lex Fridman· Aug 29, 2021Podcast · 2 speakersThe Self Is a GPT Prompt: Wojciech Zaremba on Consciousness, Codex, and Fermi's SilenceGuest Wojciech Zaremba · Host Lex FridmanOpenAI co-founder Wojciech Zaremba tells Lex Fridman he thinks we might be alone in the universe — and that GPT-3, Codex, and a one-handed robot already hint at how intelligence is built.Models & trainingCoding agentsML fundamentals+3
1:25:13EN
Lenny's PodcastPodcastCodex Is Not Just a Coding Tool: OpenAI's Plan for an Agent That Behaves Like a TeammateHost Lenny RachitskyCodex product lead Alexander Embiricos explains the 20x growth, why every useful agent may need to write code, and why human review speed is the real bottleneck.Coding agentsCode review & verificationDeveloper productivity+3
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