Loading…
Topic
51 posts about Generative AI. Every summary links to the original.
See the idea
AI Town is a pixel-art simulation framework where autonomous agents maintain memories, relationships, and goals across time, creating observable environments for testing how models behave in long-context interactive settings.
The Good Stuff
Paid picks we use ourselves. Links carry a referral code — a subscription through one earns us a commission at no extra cost to you.
Newest first
eBay describes how its AI tools aim to reduce holiday-season friction for sellers and improve discovery and trust for buyers. More than 10M unique sellers have used its AI features, while sellers create more than half a million new listings daily using Generative AI. The simplified listing experience can start with an image, background enhancement adds festive professional-grade backgrounds, and AI Assistant for messaging drafts replies to common questions about item specifics or shipping. For shoppers, an AI shopping assistant pilot, LLM-powered fashion recommendations, and access to eBay’s inventory through third-party agents including OpenAI partnerships support personalized discovery. Trust features include Authenticity Guarantee expert verification for handbags, jewelry, and trading cards, plus Certilogo’s digital IDs and authentication for apparel, while eBay says these measures support safer participation in the circular economy.
Cursor has announced a $2.3 billion Series D financing at a $29.3 billion post-money valuation, nearly two years after describing a vision for an AI-assisted code editor that could make programming more helpful, answer codebase questions instantly, and reduce the visibility of source code. The company says the early stages of that vision are taking shape while substantial work remains to realize Cursor’s potential. It reports a team of more than 300 engineers, researchers, designers, and operators, over $1 billion in annualized revenue, millions of developers and major engineering organizations as customers, and in-house models generating more code than almost any other LLMs in the world. Existing investors Accel, Thrive, and Andreessen Horowitz participated alongside new partners Coatue, NVIDIA, and Google, while the funding will support further research and Cursor’s next magical moments.
The essay argues that skepticism about LLMs for software development often reflects outdated experience with chat-based code generation rather than current agent workflows. Modern coding agents inspect repositories, edit files, invoke Unix tools and MCP calls, use Git, and run linters, compilers, tests, and model checkers, turning feedback into iterative repairs. The author says these systems can automate tedious typing, lookup, bookkeeping, test refactoring, and edit-compile-test-debug cycles while developers retain responsibility for curation, judgment, direction, and reviewing merged code. Hallucinations are presented as substantially mitigated by tool-based validation, although the author notes that agents remain unsuitable for some trusted operations and that effectiveness depends on language, tooling, prompts, indices, and guardrails. The conclusion is that AI-assisted programming is already materially changing developer productivity, despite its noise and unresolved limitations.
eBay has introduced a generative AI video tool that turns product listing images into short-form videos for social sharing, extending its earlier social caption generator. The tool creates professional-quality video content from existing images, lets sellers choose templates and platforms, and supports direct sharing to YouTube and TikTok. Sellers access it while creating a social post in Seller Hub by selecting Marketing, Social, Create Post, Video Post, a preferred platform, and Create a video with photos before choosing a template. It is currently available to US sellers and requires no video editing skills, extra equipment, or hours of work. eBay says it plans to expand the tool to additional platforms, while positioning video as a way to increase visibility, engage buyers, and build brand presence.
Grab AI Gateway is a central access layer connecting Grabbers’ applications to multiple GenAI providers, including OpenAI, Azure, AWS Bedrock, and Google VertexAI. Built as a set of reverse proxies, it centralizes provider authentication, authorization, rate limiting, auditing, and capacity management while presenting a unified OpenAI-style API; users can switch models by changing the model parameter. Exploration keys support short-lived staging experiments, while reviewed use cases can use longer-term service keys, and the gateway exposes embedding, image, audio, fine-tuning, search, and in-house open source models. Shared capacity, dynamic routing, monitoring, cost attribution, and usage records support governance and efficiency, although batch traffic can interfere with latency-sensitive services and provider-specific SDK edge cases require integration testing. More than 3,000 Grabbers have requested exploration keys, and the gateway powers applications including ride-safety audio analysis, content moderation, SQL generation, incident automation, and Slack support.
Large code edits expose coding agents to laziness, inaccuracy, and latency, especially when frontier models must rewrite hundreds of lines. The post presents fast apply, a specialized full-file code-edit model that separates planning from applying: Cursor's frontier model plans the change, while the apply model rewrites the current file. It evaluates roughly 450 edits on files under 400 lines, using Claude-3 Opus as grader, and finds llama-3-70b-ft nearly matches claude-3-opus-diff while outperforming GPT-4-Turbo and GPT-4o. Rather than generate conventional diffs, it uses full-file rewrites and search/replace hunks, which avoid line-number errors and give models more output tokens for reasoning. A custom speculative decoding method, deployed with Fireworks, reaches approximately 1,000 tokens per second on a 70b model, about 13x faster than vanilla Llama-3-70b inference and 9x faster than the previous GPT-4 deployment.
eBay introduces Shop the look, a generative AI-powered fashion feature that curates personalized outfit carousels from customers’ shopping histories. Interactive hotspots reveal similar items and outfit inspirations, combining new and pre-owned apparel and luxury goods. The experience uses images, items, decades of data, customer insights, and billions of images to adapt recommendations as tastes change, while supporting wardrobe visualization and exploration. It is available on iOS for US and UK shoppers who viewed at least 10 fashion items in the past 180 days; Android is planned later this year. eBay says the feature was developed with its Responsible AI team and RAI Principles, and plans further personalization plus possible expansion beyond fashion.
eBay describes three tracks for generative AI developer productivity: adopting a commercial offering, fine-tuning an open-source LLM on internal data, and building a knowledge base. Because no single metric is reliable, the exercise combines surveys with Git, DORA, Flow, code-quality, and performance measures. In a 300-developer Copilot A/B test, the treatment group had 27% code acceptance, 17% faster pull-request creation-to-merge time, and 12% lower Lead Time for Change; Sonar quality was unchanged. eBayCoder, based on Code Llama 13B and trained on eBay code and documentation, is presented as useful for software upkeep and broader context. Its internal GPT uses retrieval-augmented generation to answer questions from distributed sources, but early results remain preliminary and nonsensical answers require feedback and RLHF.
Menu Maker is a Node.js web application that turns user-supplied ingredients into a dish name, fine-dining description, ingredient list, and recipe. Its React front end communicates with an Express back end, which adds prompt instructions and sends the request to OpenAI’s Chat Completions API. The application uses ChatGPT’s function calling feature to define an updateDish function with structured JSON fields for the title, description, ingredients, and recipe, so parsed arguments can update React state directly. The GitHub-hosted Node.js monorepo is deployed to Heroku, where an OPENAI_API_KEY config var authenticates requests, an optional CHATGPT_MODEL selects the model, and Heroku runs yarn build and yarn start.
For eBay sellers, social media promotion can make listings more visible, but composing effective captions may be difficult. Its new generative AI feature adds a “Use AI Caption” button in the Social page of Seller Hub, where it drafts item-focused posts with hashtags and emojis. Sellers can ask for rewrites, manually keep or remove those extras, and publish posts containing listing links and item images. The capability is fully available in the US, UK, Germany, and Australia for sharing individual listings, categories, promotions, and stores, while an announced auto-posting option will later automatically publish new listings when they go live. The company reports a positive response from early users.
Generative AI applications require grounding in up-to-date operational data to avoid incorrect or uninformed answers, yet moving from prototype to enterprise-ready production is a significant challenge. MongoDB Atlas unifies operational, analytical, and vector search data services, enabling developers to provide long-term memory to large language models without costly fine-tuning. The post presents five resources for integrating MongoDB Atlas with LLMs, including tutorials for Atlas Vector Search with OpenAI, LlamaIndex, LangChain, MindsDB, and HuggingFace. These integrations support semantic search, chat applications with proprietary data, prediction generation, and automated reactions to data changes via serverless triggers. MongoDB Atlas offers a flexible document model, high performance, and scalability, validated by enterprises, to accelerate building production-ready generative AI applications.
The best engineering reads, once a week.
