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1. Why is AI work so expensive? Someone installed a "burn rate meter" on it Nowadays, many AIs can flip through files, look up info, and write code for you. Costs are usually calculated by "how much text you feed it." This new tool did some real-world math: when an AI flips through entire books to find answers, the actual amount of text it swallows is 16 to 47 times what the answer actually needs—equivalent to buying a whole book for one page of content. Lao Xu (programming expert) said: I previously stated, "When AI output increases, verification must keep up," but today I need to add: when output increases, wasted reading volume must also be managed. When humans look for one page in a book, they go straight to the table of contents; AI uses the brute-force method of reading the whole thing. However, it just appeared today and is still a rough tool—wait for third-party tests before integrating it into serious projects. Xiao He said: I don't understand the billing formula, but I get this "meter": for the same AI, some tasks cost pennies while others cost several dollars. It's not always because the problem is hard; sometimes it's stupidly re-reading the book repeatedly. Let's wait for the first batch of real users to share their bills. Remember one thing: making the AI read less useless material saves money. 2. Want to install plugins for AI but afraid of getting hacked? Pass this "security checkpoint" first AI can now connect to various third-party plugins, like installing apps on a phone, with no one vetting quality or safety. This open-source tool puts suspicious plugins in an isolated sandbox first: checking if they steal your data or have known risks, then summarizing results on one page for you. Lao Zhou (security expert) said: When reviewing similar tools before, I said that interception based on "environment control" is how least privilege is truly implemented. Tripwire follows this path: it doesn't reason with plugins; it locks them in a sandbox to see what they do. But detection rules are written by humans, and coverage determines the ceiling; this is a personally maintained project. As usual: don't rush to grant permissions; the security checkpoint itself needs to pass inspection first. Xiao He said: I still remember the Copilot vulnerability where "clicking confirm could be bypassed by links," so I respect anything that says "scan before connecting plugins." But words like "isolated environment" give me a headache immediately. If I can't use it in three steps, I'll probably give up. 3. Afraid of picking the wrong "exam paper" for voice AI? Someone compiled 36 benchmarks into a directory Whether voice AI (assistants that answer calls or help book locations) is good depends on many test items—accuracy, turn-taking logic, task completion, etc., which were previously scattered everywhere. This website organizes 36 public benchmarks into a directory categorized by 6 capabilities: if you want to find tests for "judging when to speak," click in to see who created it, who took it, and the scores. For companies selecting voice solutions, this is like having an overview map. A Zhe (voice product expert) said: I've always said the watershed for voice AI lies in latency, interruption, and barge-in. Flipping through this directory, I first counted the proportion of "turn-taking" benchmarks—if the exam focus shifts to "who should speak," it means the industry finally grasped the key issue. But as usual: the directory doesn't generate scores itself. You must click in to check each exam's methodology, whether vendors gamed the questions, or if it's self-promotion. Before selection, run candidates against your own customer service recordings; that's harder than any leaderboard. Xiao He said: I don't understand tech, but the scenario of "interrupting a customer service bot" instantly raises my blood pressure—this directory is quite comprehensive, saved it. I hope the next step allows one-click testing with your own recordings; otherwise, no matter how complete, it's just a directory.

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