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Most people don't realize how much personal data ends up in their AI prompts without thinking about it. Customer names, medical details, internal company info. It all goes to the provider's servers. Free to use. Let me know how well this works. aisecuritygateway.ai/ai-leak-checker submitted by /u/Bootes-sphere [link] [comments]

What it does: Agents gather and curate data and send to a wifi-enabled receipt printer (phenol-free paper) At 1:00am a cron triggers generation of data for all 3 kids (unique data sources per kid where applicable). A sidecar web service renders the data to templates, screenshots it, converts it to 1-bit with dithering and saves it back to the agent’s thread filesystem. Button presses (one per kid) then find a matching report for today's date (and trigger a generation if it's missing for some reason) and send it to the printer. Delay between button press and print is between 2-5 seconds. Morning daily briefs per kid at the press of a button! Fun, and the kids love it! (This demo print is using mock child data — not real information). submitted by /u/Boydbme [link] [comment...

I had a work version of GPT do a very simple spreadsheet summary task for me yesterday. It took it 5 minutes to do it. I could probably have done it myself in 30 or so minutes. The heavily subsidised token cost of that task? 10 dollars. That's with a 10x subsidy. The actual compute cost was about 100 dollars. There's something seriously wrong there. It's going to crash and crash HARD. EDIT: cause people think i'm lying or are just interested. The spreadsheet had 45 sheets. Each sheet had roughly 500 x 50 populated cells. Formatting was not exactly standard across all sheets. The prompt was something like "there is labelled column in each sheet, give me a simple list of all the items from all the sheets in that column and ignore duplicates." We can chose which model to use. The model I chos...

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...