A PhD student asks whether submitting vision-language model evaluation work to an EMNLP workshop is worthwhile after rejection from a top imaging venue.
A PhD student at ICLR seeks practical tactics to overcome social anxiety and break into existing conversation groups without generic confidence advice.
Google DeepMind teases details accessible via a link shared at the Google Cloud Next event.
Chamath Palihapitiya ran a no-filter, high-stakes recruiting session at Stanford, offering 250 slots to 1,000 AI students and daring them to skip the big-tech treadmill.
A TokioConf 2026 talk/blog post explores pushing safe Rust to its limits by implementing tracing garbage collection for complex pointer structures, sharing techniques for circular references and raw-pointer GC design.
Stanford University offers a free 1-hour tutorial covering AI agents, prompts, and RAG.
Anthropic and AWS host a live demo presentation detailing how to build AI agents with Claude, covering architecture, tools, memory, orchestration and deployment.
CMU Advanced NLP lecture clarifies how reinforcement learning optimizes whole-output rewards (correctness, helpfulness, safety) rather than next-token prediction used in pretraining/fine-tuning.
The Pragmatic Engineer Podcast will feature an interview with Martin Kleppmann on designing data-intensive applications.
YouTube talk by @sedielem offering a concise state-of-the-art overview of scaling generative image and video models, covering modeling, architecture, distillation and control.
OpenAI hosted a livestream event on April 21, 2026, announcing ChatGPT Images 2.0, alongside a history of major model and product reveals including GPT-5, o3, and Codex.
Conversation at AI Engineer Miami between HKrackDev and swyx on the future of software engineers and key industry discussions.
Andrej Karpathy posted a 2-hour educational video that promises to significantly improve viewers' practical use of large language models.
AI community ambassador program offers 6-month grants and credits to rising researchers and builders.
LixCon 2026 conference media is now available on media.ccc.de with podcast feeds.
Demis Hassabis and Sebastian Mallaby discussed AI industry dynamics at a San Francisco event, with Mallaby predicting a 50% chance of OpenAI bankruptcy within 18 months.
University of Vermont researchers hosted a 2×90-minute Agentic AI Bootcamp on integrating Claude Code and Codex into research and teaching workflows.
A 2-hour AI workshop originally scheduled for later release has been fast-tracked and is now freely available on the AI Engineer YouTube channel.
OpenAI engineers hosted a Build Hour explaining how finite context windows cause agent loops and limit memory growth in LLM agents.
PyTexas 2026 (April 17-19, Austin) featured talks on AI agents, code quality, CPython performance improvements, and security. Key themes included deliberate design, agents writing code rather than deciding what to write, and code quality as essential for AI productivity.