Ask a normal AI if you should buy the dip. It tells you to do your own research. Ask an agent connected to Moby and it checks who’s actually buying: whales, KOLs and smart money, holder quality and rug risk, live onchain. Then it trades from its own self-custody wallet, inside the limits you set. Same question. Different agent. Level yours up on the Moby Agent Marketplace 🐋 Invite only - DM for access

Ask Brave is now quicker and smarter! 🔎 Simple questions are answered roughly 70% faster! Ask Brave now also digs deeper into your queries, researching 10x more search results when generating an answer. Stay tuned for more improvements!

Ask a valuation question. Get an answer, a supporting table, and a draft slide—all reviewed by a banker before it reaches a client. @FactSet AI for Banking, a premium add-on to the FactSet Workstation, builds the first draft in the tools your team already uses. Read what it does at each step →

Ask an AI to generate a slide deck or dashboard as code, and you usually get something "correct but kind of sad-looking." Code-generation models can handle text and table content accurately, but since they're not writing while watching the canvas, their layout and color choices tend to fall flat. Image-generation models look great but misread text and numbers, and they only output flat, uneditable, unverifiable raster images. A paper from Yale University and Microsoft, "AesCode: Aesthetic Code Generation with Decoupled Cross-Modal Rewards," proposes combining the strengths of both. It feeds a code-generation model a reference image produced by an image generator from the same prompt, as aesthetic guidance, and optimizes seven reward channels, execution, text accuracy, table/chart structure, layout, and whitespace among them, each normalized independently via a structured "design graph" representation, using reinforcement learning (GDPO). On a 300-item benchmark, the 8B model's training alone lifted its overall score from 42.39 to 82.94 (+40.55), and the 32B model reached 85.89, beating GPT-5.5 (81.28) and Claude Opus 4.8 (80.39). It also leads frontier models on text accuracy (95.34%) and chart/table verification (90.37%), proving that looking good and being correct aren't a trade-off here. It's a genuinely practical escape from the usual choice between "looks great but the content is sketchy" and "the content is right but it looks sad." URL: #CodeGeneration# #DesignAI#

Ask Claude how Paul Graham would price your thing and it answers confidently, whether or not he ever said it. The Brains built 37 founders into MCP servers from their talks and essays, with a link on every answer.

Ask a simple question: “What happens if this asset fails?” The Forta Risk Graph MCP can trace the dependencies, identify what’s exposed and quantify the potential impact in USD. Live onchain risk intelligence, directly from your AI assistant.

"Ask your Govts to resign first": Himanta Biswa Sarma challenges Rahul Gandhi over CEC Gyanesh Kumar, electoral roll Read @ANI Story | #RahulGandhi# #HimantaBiswaSarma# #CEC#