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Feature
AI Financial Advice: Effective with the Right Prompts
While AI offers sound financial guidance, its effectiveness hinges on how questions are structured.
Why it mattersAI systems like LLMs are increasingly used for financial advice, yet their effectiveness depends on user interaction. This highlights a need for developers to focus on how AI systems interpret and respond to complex user queries, influencing future AI infrastructure design.
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Each morning: models, tools, research, and conversations distilled from across the web — with why they matter for builders.
Around the Web
MCP Agent Showdown
AI Financial Insights
Top Hacker News discussion.
mitsloan.mit
Today, August 2, Article 50 of the EU AI Act takes effect. Here’s the part that’s applicable to those creating AI-generated content that’s read by anyone in the EU: “Deployers of an AI system that generates or manipulat…
r/artificial
Tools
Makes your AI agent think like the laziest senior dev in the room. The best code is the code you never wrote.
github | stars 93,827
🎨 The open-source Claude Design alternative. 🖥️ Local-first desktop app. 🖼️ Your coding agent becomes the design engine: prototypes, landing pages, dashboards, slides, images &…
github | stars 83,166
Build
Your agent skill is not an anti-corruption layer
thoughtworks
Bryan Catanzaro, VP of Applied Deep Learning Research at NVIDIA, walked us through how his team builds the company’s open models, the reasoning behind their architecture, and why NVIDIA open-sources so much of it.
blog.bytebytego
Sakana AI's Fugu: Is this where model routing should live?
thoughtworks
Research
An agent playing a Nash-equilibrium strategy in a two-player zero-sum imperfect-information game secures the game value but forfeits the additional value offered by a flawed opponent. Diffuse deviations pose a particula…
arxiv
Vision-and-Language Navigation in Continuous Environments (VLN-CE) requires an agent to follow a natural language instruction, predicting a sequence of low-level actions to navigate a robot from a starting point to a ta…
arxiv
Recursive self-improvement (RSI) requires AI systems that improve the process of building AI (i.e., AI4AI); machine learning engineering (MLE) offers a concrete, executable testbed for studying this capability. We intro…
arxiv
Playbooks
You can now give your .NET agents reusable packages of domain expertise – instructions, reference documents, and scripts they load only when a task needs them – through a stable, production-ready API. Agent Skills for .…
devblogs.microsoft
Align Evals is a new feature in LangSmith that helps you calibrate your evaluators to better match human preferences.
langchain
The capabilities that make agents useful also make them difficult to evaluate. The strategies that work across deployments combine techniques to match the complexity of the systems they measure. \n
anthropic
News
Release: datasette-apps 0.2a0 Changes that improve Datasette Apps when created and edited using Datasette Agent : New app_debug() tool allowing agent to open an app (invisibly) and test it using JavaScript. #33 New app_…
simonwillison
Tuesday was Stateless MCP day - the rollout of MCP 2.0, or the 2026-07-28 Model Context Protocol specification to use the more formal but less memorable name. This is the most significant change to the MCP spec since it…
simonwillison
A Beginner's Guide to Working with Claude Design • 5 Best AI Tools for Data Analysis You Should Try in 2026 • 5 Books That Will Deepen Your Understanding of Large Language Models • Is KimiClaw a Useful Tool?
kdnuggets