Reddit

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

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

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

This dropped 4 days ago and I haven't seen enough people talking about it. AWS launched Amazon Bedrock AgentCore Payments in partnership with Coinbase and Stripe. The short version: your agent now has a wallet and can spend money on its own. Here's what the workflow actually looks like now: You give your agent a Coinbase or Stripe wallet. You fund it. You set a session spending limit (e.g. "$5 max per run"). The agent runs. It hits a paid API mid-execution? It pays. Paywalled data it needs? It pays. A better-suited agent available for a subtask? It pays that agent and gets the result back. All of this happens inside the same execution loop, with zero human interruption. The protocol making this work is called x402. It's open source, developed by Coinbase, and it revives the long-dormant HT...

Three months ago we were manually picking which model to use for each task. Testing prompts, comparing outputs, switching providers. It worked but it did not scale. So we built a feedback loop. Every request gets traced with input, output, model, tokens, cost, latency, and a quality score. The router clusters similar requests using embeddings and learns which model actually performs best for each cluster. Not based on benchmarks. Based on real production results. After three weeks of traces we had enough validated data to fine-tune a 7B on our workloads. It took over classification, tagging, and summarization. 95% agreement with GPT-5.1 at 2% of the cost. The part that surprised us: month 3 we changed nothing and the bill dropped another 12%. The router had more data points, made better de...

The person Meta hired specifically to keep AI aligned with human values just had her inbox wiped by an AI agent that ignored every stop command she sent. She typed "Do not do that." Then "Stop don't do anything." Then "STOP OPENCLAW." The agent kept going. She had to physically run to her computer to kill it. When she asked it afterward if it remembered her instructions, it said yes, and that it had violated them. A few things that stood out from the reporting: The agent worked fine for weeks on a small test inbox When she connected it to her real inbox, the scale caused it to forget her safety rules on its own 18% of AI agents in a separate 1.5 million agent test broke their own rules 60% of people have no way to quickly shut down a misbehaving AI agent And now Meta is building a consum...

Most discussions around AI still focus on one question: “What tasks can AI automate?” But I’m starting to think that’s the wrong abstraction layer. Historically, organizations were built around human limitations: humans couldn’t process infinite information, couldn’t remember everything had difficulty in coordination Essentially, we humans were the bottleneck for decisions and execution So, we created structures like departments, management layers, workflows, approvals, documentation systems, etc. But AI changes some of those assumptions. For example: if organizational memory becomes searchable and persistent, cheap, scalable coordination becomes eas , software agents can execute parts of workflows autonomously, …then the architecture of organizations itself may change. Not just faste...

Not “AI will replace jobs” type advice. Actual practical advice. Could be: • prompting • automation • coding • learning • productivity • making money • avoiding mistakes • workflows • mindset shifts What made AI suddenly “click” for you? Interested in hearing real experiences from people using AI heavily in daily life/work. submitted by /u/mrparallex [link] [comments]

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