AWS presents a SageMaker SDK v3 reference architecture for fleet-wide edge computer vision, training and versioning per-camera models with Step Functions pacing retraining within account quotas.
Luxury consignment retailer The RealReal is strengthening its bot defenses after The Verge showed an AI agent could repeatedly reserve items via its 20-minute cart hold.
AWS outlines prompt caching patterns for OpenAI models on Amazon Bedrock, helping agents avoid resending tools, instructions, and history on every step to cut input cost and latency.
A Decoder interview with journalist Kevin Roose about his book The AGI Chronicles, his new independent podcast Machine Gods, and his views on the AI industry's race toward artificial general intelligence.
OpenAI claims its newest models are substantially better at migrating older programming languages such as COBOL into modern code, a potential aid for organizations maintaining legacy systems.
AWS outlines Multi-Turn Reinforcement Learning on SageMaker AI, which trains models on the outcome of a full multi-step task rather than labeled steps, demonstrated with a Wordle pipeline.
OpenAI describes scaling its Habitat storage system using reliable multi-tenancy, global caching, and Azure Cosmos DB to achieve 12x faster reads for ChatGPT's user base.
AWS details a reusable CDK construct using CloudFormation custom resources to deregister and re-register SageMaker AI endpoint auto scaling, allowing endpoint and scaling updates in one deployment.
LitPivot aims to foster the development of research ideas by using dynamic contextualization within the surrounding literature landscape.
GitHub Copilot brought AI code completion to millions of developers inside their editors. Here is what it does well, where it needs supervision, and how it fits a modern workflow.
Cursor rethinks the code editor around AI rather than bolting AI onto one. With codebase-aware chat and multi-file edits, it pushed the 'AI-native IDE' idea into the mainstream.
Transformers is the open-source Python library that made state-of-the-art AI models accessible to everyone. Here is what it does, who should use it, and where it fits in a modern AI stack.
Stable Diffusion made high-quality text-to-image generation open and runnable on consumer GPUs, sparking a vast ecosystem of tools and fine-tunes. Here is what it is and why it mattered.
Before GPT dominated headlines, BERT showed that pretraining a Transformer to read text in both directions could transform language understanding. Here is what the landmark 2018 paper introduced.
The 2020 GPT-3 paper made a startling claim: make a language model big enough and it learns new tasks from a few examples in the prompt, with no retraining. Here is what it showed.
CLIP learned to link pictures and language by studying hundreds of millions of image–caption pairs from the web. It quietly became the foundation for image search and generation.
Every modern language model — GPT, Claude, Gemini, Llama — descends from one 2017 paper. Here is what 'Attention Is All You Need' actually proposed, in plain English, and why it changed everything.