-
2025-07-17
360Brew: LLM-based Personalized Ranking and Recommendation - Hamed and Maziar, LinkedIn AI
-
2025-07-17
What We Learned from Using LLMs in Pinterest — Mukuntha Narayanan, Han Wang, Pinterest
-
2025-07-17
ARC AGI-3: Interactive Reasoning Benchmarks for Measuring AGI — Greg Kamradt, ARC Prize Foundation
-
2025-07-17
RL for Autonomous Coding — Aakanksha Chowdhery, Reflection.ai
-
2025-07-17
Recsys Keynote: Improving Recommendation Systems & Search in the Age of LLMs - Eugene Yan
-
2025-07-16
OpenAI's Sean Grove: Code is NOT all you do
-
2025-07-16
OpenAI's Sean Grove: Everything is a Spec: The Universal Language of Intent
-
2025-07-16
Benchmarks Are Memes: How What We Measure Shapes AI—and Us - Alex Duffy
-
2025-07-16
Small AI Teams with Huge Impact — Vikas Paruchuri, Datalab
-
2025-07-16
Tiny Teams — Grant Lee, Gamma
-
2025-07-16
Building a 10 person unicorn - Max Brodeur-Urbas, Gumloop
-
2025-07-16
Using OSS models to build AI apps with millions of users — Hassan El Mghari
-
2025-07-16
Bolt.new: How we scaled $0-20m ARR in 60 days, with 15 people — Eric Simons, Bolt
-
2025-07-15
Building Effective Voice Agents — Toki Sherbakov + Anoop Kotha, OpenAI
-
2025-07-15
Monetizing AI — Alvaro Morales, Orb
-
2025-07-15
Government Agents: AI Agents vs Tough Regulations — Mark Myshatyn, Los Alamos National Laboratory
-
2025-07-15
Do You Trust Your AI’s Inferences? — Sahil Yadav, Hariharan Ganesan, Telemetrak
-
2025-07-15
Prompt Engineering and AI Red Teaming — Sander Schulhoff, HackAPrompt/LearnPrompting
-
2025-07-15
Survive the AI Knife Fight: Building Products That Win — Brian Balfour, Reforge
-
2025-07-14
Automating Escrow with USDC and AI - Corey Cooper, Circle
-
2025-07-14
How LLMs work for Web Devs: GPT in 600 lines of Vanilla JS - Ishan Anand
-
2025-07-13
[Workshop] AI Pipelines and Agents in Pure TypeScript with Mastra.ai — Nick Nisi, Zack Proser
-
2025-07-12
AI Engineering with the Google Gemini 2.5 Model Family - Philipp Schmid, Google DeepMind
-
2025-07-12
The New Code — Sean Grove, OpenAI
-
2025-07-11
Agentic GraphRAG: AI’s Logical Edge — Stephen Chin, Neo4j
-
2025-07-11
UX Design Principles for Semi Autonomous Multi Agent Systems — Victor Dibia, Microsoft
-
2025-07-11
Knowledge Graphs in Litigation Agents — Tom Smoker, WhyHow
-
2025-07-11
Boris explains Claude Code
-
2025-07-11
Production software keeps breaking and it will only get worse — Anish Agarwal, Traversal.ai
-
2025-07-11
Thinking Deeper in Gemini — Jack Rae, Google DeepMind
-
2025-07-10
A year of Gemini progress + what comes next — Logan Kilpatrick, Google DeepMind
-
2025-07-10
The Wild World of AI: 6 Months That Changed Everything
-
2025-07-10
2025 in LLMs so far, illustrated by Pelicans on Bicycles — Simon Willison
-
2025-07-09
Trends Across the AI Frontier — George Cameron, ArtificialAnalysis.ai
-
2025-07-08
Training Agentic Reasoners — Will Brown, Prime Intellect
-
2025-07-06
New York Times' Connections: A Case Study on NLP in Word Games — Shafik Quoraishee, NYT Games
-
2025-07-05
Claude Code & the evolution of agentic coding - Boris Cherny
-
2025-07-04
12-Factor Agents: Patterns of reliable LLM applications — Dex Horthy, HumanLayer
-
2025-07-04
MCP Is Not Good Yet — David Cramer, Sentry
-
2025-07-04
Microsoft Certified Azure AI Engineer Associate: AI 102 | Azure AI Engineer Certificate |Simplilearn
-
2025-07-03
Your Personal Open-Source Humanoid Robot for $8,999 — Jingxiang Mo, K-Scale Labs
-
2025-07-03
$100 Million for an Ai Engineer
-
2025-07-02
AI Engineers moving to Meta
-
2025-07-02
The New Lean Startup — Sid Bendre, Oleve
-
2025-07-01
Optimizing inference for voice models in production - Philip Kiely, Baseten
-
2025-07-01
Conquering Agent Chaos — Rick Blalock, Agentuity
-
2025-07-01
[Evals Workshop] Mastering AI Evaluation: From Playground to Production
-
2025-07-01
Intro to GraphRAG — Zach Blumenfeld
-
2025-07-01
Securing Agents with Open Standards — Bobby Tiernay and Kam Sween, Auth0
-
2025-07-01
The emerging skillset of wielding coding agents — Beyang Liu, Sourcegraph / Amp
-
2025-07-01
Agents, Access, and the Future of Machine Identity — Nick Nisi (WorkOS) + Lizzie Siegle (Cloudflare)
-
2025-07-01
Turning Fails into Features: Zapier’s Hard-Won Eval Lessons — Rafal Willinski, Vitor Balocco, Zapier
-
2025-06-30
Building voice agents with OpenAI — Dominik Kundel, OpenAI
-
2025-06-29
Containing Agent Chaos — Solomon Hykes, Dagger
-
2025-06-28
The Build-Operate Divide: Bridging Product Vision and AI Operational Reality
-
2025-06-27
Evals 101 — Doug Guthrie, Braintrust
-
2025-06-27
Why should anyone care about Evals? — Manu Goyal, Braintrust
-
2025-06-27
Engineering Better Evals: Scalable LLM Evaluation Pipelines That Work — Dat Ngo, Aman Khan, Arize
-
2025-06-27
To the moon! Navigating deep context in legacy code with Augment Agent — Forrest Brazeal, Matt Ball
-
2025-06-27
Serving Voice AI at Scale — Arjun Desai (Cartesia) & Rohit Talluri (AWS)