Jev + GPT-6 Astra 终端 18 秒扫 10 万条诈骗帖
演示用 Jev 做 12 项并行二分类检查、GPT-6 Astra 出界面，18 秒扫完 10 万条 X 帖，成本 62 美分，并给出假客服、追回诈骗等占比数据。
THIS ENTIRE TERMINAL WAS BUILT USING JEV + GPT-6 ASTRA. We put it to the test: 100,000 X posts scanned for scams in 18 seconds. JEV + GPT-6 Astra is 750x faster and 800x cheaper. A complete pass with heavy standalone LLMs would burn $620. We processed the whole dataset for 62 cents. Why traditional AI moderation fails: everyone forces heavy reasoning models to write essays when you only need instant classification. Our pipeline bypasses text generation entirely and runs 12 parallel binary checks per post: > brand impersonation signature > wallet drainer trigger > malicious support redirect What this architecture uncovered across 100,000 posts: > 41.2% fake support bots > 28.5% recovery scam networks > 18.1% fake token drops The classic double your crypto scam collapsed to 3.1%. Scammers pivoted entirely to automated support hijacking. Watch the UI: Left: live incoming X stream under inspection. Right: JEV evaluating 12 parameters with real time confidence scores and instantly locking down bot rings. 28 posts scanned and a full scam network mapped in 28 seconds. Total cost: $0.0002.
这条是引用着另一条写的：x.com/0xmovez/status/2101007482919227841