Resultados
111 artículosOrdenar
7:37EN
Matthew Berman· 25 may 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.
5:49EN
Jane Street· 23 may 2023Ian on Software Engineering at Jane StreetIan · Jane StreetA London desk developer explains code review, OCaml training, intern projects and the feedback that comes from sitting near users.
11:39ENMatthew Berman· 11 may 2023A 2023 Look at ChatGPT Plugins, Browsing and Code InterpreterMatthew Berman · Forward FutureMatthew Berman tests early ChatGPT integrations for travel, groceries, web browsing and Python analysis. The demonstrations show both useful outputs and errors in a historical interface.
20:48ENMatthew Berman· 24 abr 2023Matthew Berman’s ChatGPT Coding Workflow: Build, Test, and IterateMatthew Berman · Forward FutureA 2023 walkthrough builds a Python command-line chat client while showing how to plan, debug, and revise AI-generated code. The software interfaces and model limits described are historical.
7:48ENMatthew Berman· 1 abr 2023Using ChatGPT - Genie AI in VS Code to Explain, Refactor and Test Rails CodeMatthew Berman · Forward FutureMatthew Berman demonstrates a 2023 VS Code extension on a Ruby on Rails project and examines the limits of its code context.
41:40EN
No Priors: AI, Machine Learning, Tech, & Startups· 30 mar 2023Pódcast · 2 vocesEvery 10 Milliseconds Cost Copilot 1% of CompletionsPresenta: 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· 11 mar 2023Pódcast · 2 vocesAmjad Masad on Replit, Company Culture and AI-Assisted SoftwareInvitado: Amjad Masad · Presenta: Harry StebbingsThe Replit founder discusses hiring, developer productivity and the opportunities and risks he saw in AI in 2023.
14:55ENMatthew Berman· 8 mar 2023Building a Simple Chatbot With Python or BubbleMatthew Berman · Forward FutureMatthew Berman walks through a historical OpenAI API demo using Colab and Gradio, then a Bubble no-code workflow.
12:17ENMatthew Berman· 27 feb 2023A 2023 Guide to Prompting ChatGPT: Instructions, Examples, and LimitationsMatthew Berman · Forward FutureMatthew Berman walks through prompt components, common tasks, examples, and adversarial prompting in an early ChatGPT tutorial.
3:15:51EN
Lex Fridman· 26 nov 2022Pódcast · 2 vocesPython Is a Recipe Written for Two ReadersInvitado: Guido van Rossum · Presenta: Lex FridmanGuido van Rossum on CPython’s 3.11 speedups, indentation, the GIL, and why a 4.0 would hurt extensions more than syntax.
3:08:32ENLex Fridman· 4 mar 2021Pódcast · 2 vocesNinety Minutes With the Door Shut: Cal Newport on Deep Work, Email, and a Life Built for the Worst CaseInvitado: Cal Newport · Presenta: Lex FridmanThe Georgetown computer scientist talks with Lex Fridman about attention, digital minimalism, a world without email, and why relationships are the only honest worst-case analysis.
2:46:57ENLex Fridman· 18 oct 2020Pódcast · 2 vocesProgramming Languages Are Bicycles for the MindInvitado: Chris Lattner · Presenta: Lex FridmanChris Lattner talks with Lex Fridman about Swift, LLVM, RISC-V, and why the next leap in computing is as much a language problem as a silicon one.
59:33ENJane Street· 7 oct 2020Laurent Mazare on Python, OCaml and Machine LearningYaron Minsky, Laurent Mazare · Jane StreetA researcher compares exploratory notebooks with robust production systems, and explains how language interoperability and resource management connect the two.
1:23:49ENJane Street· 31 ene 2020Steve Lee on PowerShell 7: Compatibility, New Features and the RoadmapSteve Lee · MicrosoftA historical look at the move from Windows PowerShell to cross-platform PowerShell, including demonstrations of the version 7 preview and its compatibility trade-offs.
1:10:58ENLex Fridman· 3 jun 2019Pódcast · 2 vocesThe Hadoop Lesson That Made Google Give TensorFlow AwayInvitado: Rajat Monga · Presenta: Lex FridmanIn November 2015, Google put its core internal machine-learning system on GitHub. Rajat Monga explains why a company of that size would hand over the hard-to-copy part.
1:03:45ENJane Street· 7 dic 2018Jane Street and the OCaml CompilerYaron Minsky · Jane StreetRon Minsky traces an accidental language adoption into a long-term commitment to compiler engineering and a shared open-source ecosystem.
1:14:23ENJane Street· 24 ago 2018Cristina Rosu: Building Dynamic OCaml Web Apps with Incr_domCristina Rosu · Jane StreetA practical introduction to the Elm architecture, virtual DOM and incremental computation, followed by a live counter-app demonstration.
28:31ENJane Street· 9 mar 2017Incremental: Self-Adjusting Computations in OCamlSebastian Funk · Jane StreetSebastian explains Jane Street’s dynamic dependency graph library and the algorithms behind efficient updates.
1:06:39ENJane Street· 31 mar 2016Why Jane Street Uses OCamlYaron Minsky · Jane StreetA Jane Street talk explains how functional programming and static types support reliable trading software, and examines the costs of choosing a less common language.
1:04:56ENJane Street· 31 mar 2016Yaron Minsky on Incremental: From Research Idea to Production LibraryYaron Minsky · Jane StreetA history of the algorithms, memory problems and performance tradeoffs behind Jane Street’s OCaml library for self-adjusting computations.
1:25:13EN
Lenny's PodcastPódcastCodex Is Not Just a Coding Tool: OpenAI's Plan for an Agent That Behaves Like a TeammatePresenta: 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.
1:39:51ENLenny's PodcastPódcastAfter the Inflection Point: Simon Willison on Agentic Engineering, Dark Factories and the Coming AI Challenger DisasterPresenta: 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.
1:11:06EN
Unsupervised Learning: With Jacob EffronPódcastReplit's Amjad Masad on Building Your Own Model, Latency, and the Next Billion Software CreatorsPresenta: 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.
1:04:25ENUnsupervised Learning: With Jacob EffronPódcastInside GitHub's Copilot Bet: Agents, Open Source, and Why the Developer Job EnduresPresenta: Jacob EffronGitHub CEO Thomas explains how Copilot went from a research bet to 1.3 million developers, and what agents, fine-tuning and a multi-model world mean for the next five years of software.Cargar másMostrando 24 de 111