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326 件
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2:17:30EN
Cognitive Revolution "How AI Changes Everything"· 2023年9月29日ポッドキャストGemini Became the Daily Driver. A GPT-5 Worthy of the Name Would Make Agents Work.ホスト Nathan LabenzZvi Mowshowitz returns to Cognitive Revolution to unpack Gemini 1.5, Sora, superalignment, sleeper agents, and the live-player map of frontier labs.企業と戦略AI StrategyProduct Strategy+3
29:38EN
No Priors: AI, Machine Learning, Tech, & Startups· 2023年9月21日ポッドキャスト · 2 人A Beginner Just Shipped a $250K Business. Professionals Got 30 Percent.ホスト 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.コーディングエージェントDeveloper productivityOpen-weight models+3
スライド 4 枚9:59EN
Matthew Berman· 2023年9月7日Open 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.コーディングエージェントLocal inference開発ワークフローとテスト+2
スライド 4 枚4:35EN
Matthew Berman· 2023年9月5日Running 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.モデルと学習インフラとデプロイコーディングエージェント
スライド 3 枚14:59EN
Matthew Berman· 2023年9月2日AI 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 StrategyコーディングエージェントAutonomous Driving+2
スライド 3 枚6:11EN
Matthew Berman· 2023年8月31日Running 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 inferenceコーディングエージェントOpen-weight models+1
スライド 5 枚10:20EN
Matthew Berman· 2023年8月30日Phind 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 modelsコーディングエージェント評価(Evals)+2
1:39:53EN
Cognitive Revolution "How AI Changes Everything"· 2023年8月8日ポッドキャストUnder 100 People, 24 Million Users: Replit's Bet on Artificial Developer Intelligenceホスト 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.コーディングエージェントDeveloper productivityAI startups & small teams+3
1:45:46EN
Cognitive Revolution "How AI Changes Everything"· 2023年8月4日ポッドキャストReplit's $10 AI Programmer Already Pays for Itself. The Ambition Is Bots Hiring Botsホスト Nathan LabenzTyler Angert, Replit's first product designer, explains Ghostwriter, a virtual developer, and why the company calls itself the perfect substrate for AGI.コーディングエージェントDeveloper productivityProduct Strategy+3
スライド 4 枚11:07EN
Matthew Berman· 2023年7月24日Installing 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 models評価(Evals)+2
スライド 3 枚12:20EN
Matthew Berman· 2023年7月10日Testing 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 models評価(Evals)モデルと学習+1
スライド 3 枚7:05EN
Matthew Berman· 2023年7月2日Aider’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.コーディングエージェント開発ワークフローとテストSoftware engineering+1
スライド 4 枚6:26EN
Matthew Berman· 2023年6月14日Installing 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.コーディングエージェント開発ワークフローとテストSoftware engineering
スライド 5 枚7:37EN
Matthew Berman· 2023年5月25日Smol 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 engineeringコーディングエージェントDeveloper productivity+1
59:38EN
Jane Street· 2023年5月18日Richard 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 ecosystemsコーディングエージェント+1
41:40EN
No Priors: AI, Machine Learning, Tech, & Startups· 2023年3月30日ポッドキャスト · 2 人Every 10 Milliseconds Cost Copilot 1% of Completionsホスト 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.コーディングエージェントProduct engineeringAI interface design+3
58:08EN
20VC with Harry Stebbings· 2023年3月11日ポッドキャスト · 2 人Amjad Masad on Replit, Company Culture and AI-Assisted Softwareゲスト Amjad Masad · ホスト Harry StebbingsThe Replit founder discusses hiring, developer productivity and the opportunities and risks he saw in AI in 2023.コーディングエージェントDeveloper productivityEntrepreneurship+2
32:48EN
Cognitive Revolution "How AI Changes Everything"· 2023年2月23日ポッドキャストA Hundred Million to Train, a Penny to Inferホスト 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.企業と戦略AGI(汎用人工知能)Existential Risk+3
2:51:33EN
Lex Fridman· 2021年8月29日ポッドキャスト · 2 人The Self Is a GPT Prompt: Wojciech Zaremba on Consciousness, Codex, and Fermi's Silenceゲスト Wojciech Zaremba · ホスト 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.モデルと学習コーディングエージェント機械学習の基礎+3
1:25:13EN
Lenny's PodcastポッドキャストCodex Is Not Just a Coding Tool: OpenAI's Plan for an Agent That Behaves Like a Teammateホスト 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.コーディングエージェントCode review & verificationDeveloper productivity+3
1:39:51EN
Lenny's PodcastポッドキャストAfter the Inflection Point: Simon Willison on Agentic Engineering, Dark Factories and the Coming AI Challenger Disasterホスト Lenny RachitskyDjango co-creator Simon Willison explains what changed in November 2025, how he works with coding agents, and why prompt injection remains the field's biggest unsolved risk.コーディングエージェントエージェント工学Prompt injection+3
1:33:50EN
Lenny's PodcastポッドキャストEvals Are the New PRDs: Inside Anthropic's Research Product Teamホスト Lenny RachitskyDianne Penn, Anthropic's head of product for research and Labs, explains how the company found its identity, how her team turns user feedback into evals, and why human judgment still matters.プロダクトと UXAI Product ManagementProduct Strategy+3
1:11:06EN
Unsupervised Learning: With Jacob EffronポッドキャストReplit's Amjad Masad on Building Your Own Model, Latency, and the Next Billion Software Creatorsホスト Jacob EffronThe Replit founder explains why AI should be native to the product, why he trained a small in-house model, and why he thinks software engineering is about to split in two.プロダクトと UXコーディングエージェントVibe Coding+3
1:53:14EN
Cognitive Revolution "How AI Changes Everything"ポッドキャストWorth Thousands, Priced at $20: Zvi Mowshowitz on OpenAI's Flurry, Gemini Bets, Deepfakes and a Compute Capホスト Nathan LabenzZvi Mowshowitz and Nathan Labenz survey OpenAI's launch spree, AI pricing and bundling, data pollution, deepfakes, the reversal curse, calls to cap training compute, and Amazon's Anthropic deal.企業と戦略AI StrategyProduct Strategy+3
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