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i built a way to generate full ai vlogs for youtube using seedance 2.5, without ever picking up a camera this was supposed to stay internal but f*ck it, i'm leaking the whole thing you give it a script or even just a topic and it comes back with a finished vlog, voiceover, b-roll, captions, ready to upload here's how it works: a custom claude skill breaks your script into scenes and writes timestamped storyboard prompts for each one, matched to pacing so nothing feels random. those prompts get fed into seedance 2.5, using its 30 second continuous generation and reference asset support to keep the visuals consistent across scenes instead of looking like ten unrelated clips stitched together. then it pulls in an ai voiceover that matches the tone of the script, stitches every scene together, and burns in captions automatically you're not filming, not voicing, not editing, not exporting from three different apps the whole thing runs start to finish and outputs a finished 16:9 vlog ready to post, and it costs a fraction of what an editor or camera setup would run you i'm sharing the full breakdown, which includes: the claude skill that handles scene breakdown and storyboard prompts the seedance 2.5 setup that keeps visuals consistent scene to scene the voiceover setup that keeps it from sounding robotic the exact workflow from script to finished vlog RT + reply "PROMPTS" and i'll send it over (must follow so i can dm)

Unsolicited tips #348373# If you don't know how to fill out buildups, just resample your main bass with some reverb & filtering automation. Keeps it sounding cohesive because you're literally just using another part of the track to build your atmosphere. Go crazy w the FX here

🔥 HELL YES! War Secretary Pete Hegseth confirms he will PERSONALLY intervene in the suspension of the American Apache gunship pilots who did an EPIC flyover in SC THANK YOU, @PeteHegseth, and thank you to @mattvanswol for sounding the alarm on this. GOD BLESS THESE PATRIOTS! 🇺🇸

Ahead of the @zksync Airbender V2 prover upgrade, @the_matter_labs brought us in to build the tools that formally verify their circuits. Not "we ran the tests and they passed." Mathematical proof that a whole class of soundness bug isn't there.

Grok TTS is already sounding insanely human In Vapi’s blind voting Humaneness Index, Grok TTS ranked as the top AI voice model in the chart with a humaneness score of 96.....just 4 points below the real human benchmark • Top AI voice model shown • 96/100 humaneness score • Only 4 points behind the human benchmark What makes this even more impressive is that Grok TTS is combining natural-sounding speech with low latency and aggressive pricing The gap between AI-generated speech and real human voices is disappearing faster than most people realize Grok is starting to speak like a real person

Anyone know what this might be? Bunch of VyOS routers all over the internet (some seem very old) that have node exporter exposed that have tunnels everywhere they all seem to be connected to each other in one way or another (IPsec?) and to hwy-zabbix and have weird Chinese sounding company names for the ifalias like “ <607214A18> Xiao Shun Ltd - 09May2026” Example shodan search:

关于 Zcash Orchard 漏洞, 几个被误读的点 1️⃣ ZEC 不会增发,2100万总量不变。这是 soundness 漏洞,受影响的只是 Orchard 隐私池。 2️⃣ 机制可以理解成跨链桥: 漏洞能在池里造假币,再拿假币把真币从 Orchard 提走。真币被取空后,排在后面的真实 holder 赎不回——真正的受害者是他们,而不是市场上"凭空多出一批币砸盘" 3️⃣ 从链上池余额看, 并没有出现大额异常提取, 大概率未被实际利用。 本质是池内盗取风险，而非系统性增发，和Luna完全不一样 （所以可以抄底了吗？ --- 信息来自benmo群友分析 @Super4DeFi @bitfish + Opus 4.8 验证总结

CLAUDE OPUS 4.8 JUST BROKE A $9 BILLION PRIVACY COIN. 🚨 A security researcher used Anthropic's new model to find a 4-year-old soundness bug in Zcash's Orchard pool. The flaw could create unlimited, undetectable counterfeit $ZEC. Discovered May 29. Patched June 3. Could have been exploited for over 4 years. The team has no answer.

Okay, so I stumbled upon this really cool generative NFT project called Pattern Retrieval, and it's honestly one of the most unique things I've seen in a while. It's from @adamilenich, who you might know from his work with @opensea. The whole concept is pretty mind-bending cos it takes every single printable ASCII character you know, letters, numbers, and symbols and treats them like delicate memories. These memories are stored in something called a Hopfield network. Then, the project deliberately messes with them, adding random noise, and lets the network try to piece them back together. It does this by simulating this old-school CRT phosphor screen, complete with that fuzzy glow and scanlines. What's interesting is that each piece also has its own generated audio. It starts out sounding like that static and noise, but as the memory gets restored, the audio transforms into this really calming soundscape, almost like it's singing. The entire thing is just one self-contained HTML file that plays on a loop in your browser. It really makes you think about memory, how things decay, and how patterns try to hold their form. If you're curious, you can check out the live site at and even interact with some of the examples yourself. It feels like a really deep dive into how we perceive and reconstruct information.