Chaînes mises à jour récemment

Choisissez-en une pour ne voir qu’elleToutes les chaînes →

Résultats

244 articles
Trier
32:48EN
No Priors: AI, Machine Learning, Tech, & Startups· 16 nov. 2023Podcast · 2 voixFourteen People, $200 Million of Compute, and the Reliability Bottleneck for AgentsAnime : 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.AgentsAgents de codeIngénierie d’agents+3
3 diapositives5:31EN
Matthew Berman· 30 oct. 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 systemsAgents de code
4 diapositives7:02EN
Matthew Berman· 18 oct. 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.Ingénierie d’agentsOpen-weight modelsMulti-agent systems+2
5 diapositives15:03EN
Matthew Berman· 10 oct. 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 systemsIngénierie d’agentsAgents de code+2
1:32:41EN
Cognitive Revolution "How AI Changes Everything"· 5 oct. 2023PodcastThere are maybe 5,000 people who can train frontier models. The rest need AI engineersAnime : 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.Entreprise et stratégieIngénierie d’agentsAgents de code+3
3 diapositives7:32EN
Matthew Berman· 4 oct. 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.Agents de codeSoftware engineeringWorkflows de développement et tests
2:17:30EN
Cognitive Revolution "How AI Changes Everything"· 29 sept. 2023PodcastGemini Became the Daily Driver. A GPT-5 Worthy of the Name Would Make Agents Work.Anime : Nathan LabenzZvi Mowshowitz returns to Cognitive Revolution to unpack Gemini 1.5, Sora, superalignment, sleeper agents, and the live-player map of frontier labs.Entreprise et stratégieAI StrategyProduct Strategy+3
29:38EN
No Priors: AI, Machine Learning, Tech, & Startups· 21 sept. 2023Podcast · 2 voixA Beginner Just Shipped a $250K Business. Professionals Got 30 Percent.Anime : 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.Agents de codeDeveloper productivityOpen-weight models+3
4 diapositives9:59EN
Matthew Berman· 7 sept. 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.Agents de codeLocal inferenceWorkflows de développement et tests+2
3 diapositives6:11EN
Matthew Berman· 31 août 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 inferenceAgents de codeOpen-weight models+1
5 diapositives10:20EN
Matthew Berman· 30 août 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 modelsAgents de codeÉvaluations+2
1:39:53EN
Cognitive Revolution "How AI Changes Everything"· 8 août 2023PodcastUnder 100 People, 24 Million Users: Replit's Bet on Artificial Developer IntelligenceAnime : 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.Agents de codeDeveloper productivityAI startups & small teams+3
1:45:46EN
Cognitive Revolution "How AI Changes Everything"· 4 août 2023PodcastReplit's $10 AI Programmer Already Pays for Itself. The Ambition Is Bots Hiring BotsAnime : Nathan LabenzTyler Angert, Replit's first product designer, explains Ghostwriter, a virtual developer, and why the company calls itself the perfect substrate for AGI.Agents de codeDeveloper productivityProduct Strategy+3
3 diapositives12:20EN
Matthew Berman· 10 juil. 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 modelsÉvaluationsModèles et entraînement+1
5 diapositives7:37EN
Matthew Berman· 25 mai 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 engineeringAgents de codeDeveloper productivity+1
59:38EN
Jane Street· 18 mai 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 ecosystemsAgents de code+1
41:40EN
No Priors: AI, Machine Learning, Tech, & Startups· 30 mars 2023Podcast · 2 voixEvery 10 Milliseconds Cost Copilot 1% of CompletionsAnime : 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.Agents de codeProduct engineeringAI interface design+3
58:08EN
20VC with Harry Stebbings· 11 mars 2023Podcast · 2 voixAmjad Masad on Replit, Company Culture and AI-Assisted SoftwareInvité : Amjad Masad · Anime : Harry StebbingsThe Replit founder discusses hiring, developer productivity and the opportunities and risks he saw in AI in 2023.Agents de codeDeveloper productivityEntrepreneurship+2
32:48EN
Cognitive Revolution "How AI Changes Everything"· 23 févr. 2023PodcastA Hundred Million to Train, a Penny to InferAnime : 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.Entreprise et stratégieAGIExistential Risk+3
2:51:33EN
Lex Fridman· 29 août 2021Podcast · 2 voixThe Self Is a GPT Prompt: Wojciech Zaremba on Consciousness, Codex, and Fermi's SilenceInvité : Wojciech Zaremba · Anime : 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.Modèles et entraînementAgents de codeFondamentaux du ML+3
1:25:13EN
Lenny's PodcastPodcastCodex Is Not Just a Coding Tool: OpenAI's Plan for an Agent That Behaves Like a TeammateAnime : 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.Agents de codeCode review & verificationDeveloper productivity+3
1:39:51EN
Lenny's PodcastPodcastAfter the Inflection Point: Simon Willison on Agentic Engineering, Dark Factories and the Coming AI Challenger DisasterAnime : 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.Agents de codeIngénierie d’agentsPrompt injection+3
1:33:50EN
Lenny's PodcastPodcastEvals Are the New PRDs: Inside Anthropic's Research Product TeamAnime : 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.Produit et UXAI Product ManagementProduct Strategy+3
1:11:06EN
Unsupervised Learning: With Jacob EffronPodcastReplit's Amjad Masad on Building Your Own Model, Latency, and the Next Billion Software CreatorsAnime : 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.Produit et UXAgents de codeVibe Coding+3
Charger plus24 sur 244 affichés