Articles from X
Tesla Model 3 and Model Y have been ranked as the #1 and #2 most American-made vehicles for 2026, marking the sixth consecutive year Tesla leads the list.
This article describes the loop engineering cycle for AI Product Managers, emphasizing building reusable systems that improve over time rather than one-off prompts.
KroWork is a newly launched tool that converts AI chat conversations into reusable desktop applications, allowing non-technical users to create workflows via natural language that run locally without consuming tokens on restart. It enables tasks like real-time stock monitoring for free.
KroWork turns AI chat interactions into reusable desktop applications that run locally without consuming tokens when restarted, allowing non-technical users to create deployable software via natural language.
Natolambert announces a new lecture covering synthetic data and the history of distillation, from Hinton 2015 to modern on-policy distillation, with over 7 hours of video content.
A tweet promoting @trylatitude as a tool to capture and analyze data from AI agent conversations, which are often an underutilized customer data source.
This post explains how to create an automated feedback loop for AI agents to iteratively improve their skills, using computer use and an observer skill to evaluate and update the skill code.
PP-OCRv6 is a lightweight OCR model (34.5M parameters) that challenges large VLMs with its MetaFormer architecture, offering efficient text detection and recognition across multiple deployment scenarios.
A tech user complains about the prevalence of surveys immediately after deciding to try a product, questioning why this UX design is so common.
Microsoft's NextLat introduces a training objective that rewards belief-state representations instead of relying solely on next-token prediction, pushing models toward compact world models for better generalization.
A developer demonstrates running Gemma 4 26B MoE model locally on an 8GB RTX 4060 with Hermes agent to fully automate backtesting of trading strategies, highlighting the growing capability of local LLMs as autonomous agents.
A developer shares surprising lessons from fine-tuning a small open model, including that base models often already max out on intended improvements, the real weakness is behavior (caving), and fine-tuning requires careful measurement and balancing.
Fenng shares a self-media comparison between the fourth-generation WeLM-80B (80B total params, 3B activated, 3.75% activation rate) and DeepSeek-V4-Flash (284B total, 13B activated, 4.6% activation rate), with a humorous comment.
Discussion on how loops in AI agents can amplify both good and bad behaviors, emphasizing the need for an engaged human in the loop to guide the agent's learning of user preferences.
Crabbox is a new tool that gives AI coding agents isolated cloud environments to test and verify PRs, enabling them to work in parallel without conflicts and reducing the review bottleneck.
Tencent launches Agently Mail for QQ Mail, a dedicated email service tailored for AI Agents.
Chad Jones announced he will be on leave from Stanford starting June 30 to join the Anthropic Institute, where he will continue research on AI and economic futures.
The author built a fully offline AI agent using local embedding models, Llama via Ollama, and VectorAI DB to address the risks of cloud-dependent AI. The agent runs on an 8GB MacBook, processes sensitive documents, and maintains memory across sessions.
Cross Repo Review is a tool that maps inter-repo dependencies and surfaces downstream impacts, breaking changes, and blast radius on PRs, tracking code, service, data, and pipeline dependencies.
QodoAI released Cross Repo Review, an AI code review tool that can detect bugs across multiple repositories, going beyond single-repo analysis to catch issues caused by changes in one repo that break others.