AI & robotics news brief ·
Anthropic releases FlashProve for model provenance
Good morning. Anthropic released FlashProve, a cryptographic way to prove a reply came from a committed AI model. It lands as AI provenance and trust become a bigger part of deployment.
Today in AI
Anthropic Releases FlashProve: Cryptographic Proofs That a Reply Came From Committed...
Why it matters: Anthropic's FlashProve introduces provable inference, enhancing trust in AI systems by confirming which model generated a response, crucial for maintaining integrity and security in AI applications.
Anthropic Develops FlashProve to ID AI Models
Why it matters: The development of FlashProve addresses concerns about the integrity and trustworthiness of AI models, potentially enhancing accountability in AI model usage and evaluations.
Mount Sinai Chooses Sectra’s AI-Assisted Radiology Reporting
Why it matters: This partnership signals a significant advancement in radiology by integrating AI to streamline reporting and improve efficiency in a large health system.
Maine’s data center revolt will decide who controls the Senate
Why it matters: The Senate race in Maine could significantly influence national data center and AI policy, affecting local economies and environmental standards beyond the state.
AI Data Centers Have a PR Problem. OpenAI Is Proposing a Rebrand
Why it matters: OpenAI's proposed rebranding of data centers as 'AI compute campuses' highlights the growing backlash against AI infrastructure and the company's strategy to shape public perception and policy.
Robotics
CoworkOS:Scaling Agent Coworkers for Real-world Automation
Why it matters: CoworkOS illustrates advances in integrating AI agents for long-term productivity tasks, potentially transforming collaboration between humans and machines in various industries.
Ukraine’s drone strikes spur hasty Russian plans for underground data centers
Why it matters: The shift to underground data centers by Russian tech companies highlights the significant impact of Ukraine's drone strikes on Russia's digital infrastructure, raising concerns over the security of cloud services.
Agent uses to try
Travel & Bookings · ChatGPT Agent
Map a kid-friendly getaway and stage the reservations
Have an agent compare flights, hotels, and child-friendly activities, then prepare the paperwork and stop short of booking. The itinerary and hotel comparisons were solid, and the reporter said it felt like a very strong planning assistant. Nothing was bought, and the reporter still had to handle the final approval themselves. A computer crash interrupted the process, so they had to log back in and start again.
Try this prompt
Help me organize a [number]-day trip from [departure city] to [destination] for [number] travelers on [dates]. Compare flight options and three hotels with a pool that work well for children ages [ages], and suggest family-friendly activities. Put everything into a day-by-day plan in [Google Docs or similar], include booking links, and prepare the reservation fields for my preferred choices. Stop and ask for my approval before any payment, final submission, or booking confirmation.
Coding & DevOps · Replit Agent, Claude
Make a first app with Replit and Claude
A commenter used Replit’s agent with Claude Sonnet to assemble an app in about five minutes, despite having no real coding experience. They reported spending about five minutes and around $5 altogether on Claude Sonnet API use and Replit agent usage. The source does not mention launch numbers, user feedback, or technical problems.
Try this prompt
I’ve never built software before. Create a very simple app named [app name] that helps with [main task]. Use [style, method, or framework] as the basis for the content or logic, and keep the first version small. Ask only the essential questions, then produce the app in clear steps. Let me test it in a preview and tell me, in simple terms, how to use it and make basic changes. Stop and get my approval before any step that would deploy, purchase, erase, or submit something. Finish only when I can try one sample action, such as adding [example entry].
Work & Operations · Zapier Agents
Draft contact replies and save ideas to Notion
Blake Oliver used a Zapier Central agent to draft podcast replies from Gmail and turn each incoming message into a Notion story idea. The setup worked on a test message. Blake tried three behaviors overall, but the other two ran into problems, and he said agents are still imperfect.
Try this prompt
Set up a Zapier Agent that watches [my Gmail address or label] for new emails from [my contact form]. For each message, draft a reply in [my tone] in the same thread, put the sender’s address in the To field, and sign off naturally. Also create a new entry in [my Notion database] with a title based on the topic, a short summary, and the full original message. Do not send, delete, or submit anything automatically; stop and ask me to review before any irreversible action. After a test email arrives, show me the draft reply and the Notion entry.