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46:36EN
No Priors: AI, Machine Learning, Tech, & Startups· Jan 18, 2024Podcast · 2 speakersAfter a decade of code search, Sourcegraph’s CTO says the coding-AI fight is outside the modelHost Sarah Guo, Elad GilBeyang Liu on Cody, why keyword search still does most of RAG, and why CS fundamentals get more valuable as AI compresses the middleware.Coding agentsRetrieval-augmented generationContext engineering+3
5 slides24:54EN
Matthew Berman· Dec 22, 2023Matthew Berman's 2023 Prediction for AI and the Future of ProgrammingMatthew Berman, Matt Welsh, McKay Wrigley · Forward FutureBerman argues that natural-language interfaces and AI agents could transform software development, while acknowledging the limits of coding tools and his uncertain timeline.Software engineeringCoding agentsHuman-AI Collaboration+2
5 slides17:08EN
Matthew Berman· Dec 21, 2023Building and Testing a Login App With GPT PilotMatthew Berman · Forward FutureMatthew Berman demonstrates the 2023 VS Code workflow for AI-assisted planning, coding and debugging an authentication prototype.Coding agentsDeveloper workflows & testingAI security+1
0:29EN
Matthew Berman· Dec 20, 2023A ServiceNow Partner Demonstrates AI-Assisted Code GenerationMatthew Berman · Forward FutureA short promotional demonstration shows code generated from a natural-language instruction in ServiceNow.Developer productivityCoding agents
1:22:59EN
Cognitive Revolution "How AI Changes Everything"· Dec 2, 2023PodcastIf Your Agent Is Right 80% of the Time, Ten Steps Leave You With 10%Host Nathan LabenzImbue CTO Josh Albrecht tells Nathan Labenz how a 27-person, pre-product research company is putting $200 million and 10,000 H100s toward agents that can actually finish a long job.AgentsAgent engineeringReasoning & test-time compute+3
1:15:39EN
Cognitive Revolution "How AI Changes Everything"· Nov 29, 2023PodcastAfter 20 Years of Frontend, v0 Wrote Better Code Than Guillermo Rauch DidHost Nathan LabenzThe Vercel CEO tells Nathan Labenz why every product needs ghost text, why Software 2.0 will ossify the old stack, and why betting against open source is still the expensive mistake.Coding agentsVibe CodingDeveloper workflows & testing+3
4 slides7:48EN
Matthew Berman· Nov 26, 2023Testing Dolphin 2.2 Yi 34B on Coding and Reasoning TasksMatthew Berman · Forward FutureMatthew Berman runs a quantized Yi fine-tune through informal coding, writing and logic prompts in November 2023, with uneven results.Open-weight modelsFoundation ModelsBenchmarks+2
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.AgentsCoding agentsAgent engineering+3
3 slides5:31EN
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.Agent memoryMulti-agent systemsCoding agents
4 slides7:02EN
Matthew 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.Agent engineeringOpen-weight modelsMulti-agent systems+2
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
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