Tag: Reddit

- Anthropic CEO Says Company No Longer Sure Whether Claude Is Conscious - Link - Anthropic revises Claude’s ‘Constitution,’ and hints at chatbot consciousness - Link submitted by /u/jbcraigs [link] [comments]

submitted by /u/Gloomy_Nebula_5138 [link] [comments]

Do you see practical impact? submitted by /u/BeneficialSyllabub71 [link] [comments]

submitted by /u/ControlCAD [link] [comments]

I kept running into the same cycle: spend hours researching competitors, dump everything into a spreadsheet, present it once, never touch it again. 6 months later, start over. The problem isn't the analysis — it's the maintenance. So I built CompetitiveOS. The idea You only need to install a plugin in Claude and say: "Analyze our top 5 competitors in the AI education space" The agent researches each competitor across 10 dimensions (pricing, product, positioning, target audience, etc.) and writes everything into a structured database — with linked sources for every data point. Your own company sits at the center as the reference point. Every comparison is "us vs. them." And it doesn't stop at the initial analysis. Found a new article about a competitor? Just tell the agent: "I found this do...

Responding to Matt Shumer's "Something Big Is Happening" piece that's been circulating. The pace of change is real, but the "just give it a prompt" framing is self-defeating. If the prompt is all that matters, then knowing what to build and understanding the problem deeply matters MORE. Building simple shit is getting commoditized, fine. But building complex systems and actually understanding how they work? That's becoming more valuable, not less. When anyone can spin up the easy stuff, the premium shifts to the people who can architect what's hard and debug what's opaque. We also need to separate "building software" from "building AI systems", completely different trajectories. The former may be getting commoditized. The latter is not. How we use this technology, how we shape it, what we ...

Hey everyone, I’m a backend developer with a background in fintech. Lately, I’ve been experimenting with multi-agent systems, and one major issue I kept running into was collision. When you have multiple agents (or even one agent doing complex tasks) accessing the same files, APIs, or context, they tend to "step on each other's toes." They overwrite data, execute out of order, or hallucinate permissions they shouldn't have. It’s a mess. I realized what was missing was a Traffic Light. So I built Network-AI. It’s an open-source protocol that acts as a traffic control system for agent orchestration. How it works: Think of it like an intersection. Before an agent can execute a high-stakes tool (like writing to a database, moving a file, or sending a transaction), it hits a "Red Light." The C...

submitted by /u/BousWakebo [link] [comments]

The U.S. military used Anthropic's Claude AI model during the operation to capture Venezuela's Nicolás Maduro, two sources with knowledge of the situation told Axios. "Anthropic asked whether their software was used for the raid to capture Maduro, which caused real concerns across the Department of War indicating that they might not approve if it was," the official said. The Pentagon wants the AI giants to allow them to use their models in any scenario so long as they comply with the law. Axios could not confirm the precise role that Claude played in the operation to capture Maduro. The military has used Claude in the past to analyze satellite imagery or intelligence. The sources said Claude was used during the active operation, not just in preparations for it. Anthropic, which has p...

Introducing Open Book Medical AI: Deterministic Knowledge Graph + Compact LLM Most medical AI systems today rely heavily on large, opaque language models. They are powerful, but probabilistic, difficult to audit, and expensive to deploy. We’ve taken a different approach. Our medical AI is a hybrid system combining: • A compact ~3GB language model • A deterministic proprietary medical Knowledge Graph (5K nodes, 25K edges) • A structured RAG-based answer audit layer The Knowledge Graph spans 7 core medical categories: Diseases, Symptoms, Treatment Methods, Risk Factors, Diagnostic Tools, Body Parts, and Cellular Structures and, critically, their relationships. Why this architecture matters 1️⃣ Comparable answer quality with dramatically lower compute and reduced hallucination. ...