Micky Yang @yangmicky
Tonmeister live in Taiwan Mixing engineer · Dolby Atmos Building UTUVO — audio tools for people who listen closely https://t.co/NQyYoWam7o · https://t.co/yRoCyWrqor utuvo.app Taiwan Joined June 2010-
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@hkepcmedia 定價直接砍一半這步蠻有影響,圖像模型的成本曲線往下走之後,連我這種小工具都會想試試看能不能把素材處理塞進去。Arena 贏自家旗艦那部分比較耐人尋味,通常是風格偏好還是真的品質,待觀察。
@lunkertw Ethan Molick 講的那個文獻重審其實是最值得關注的部分,AI 能幫忙篩大量既有論文確實會加速。不過回頭看,這類整理每次都混掉不少行銷內容,真正需要留意的反而是哪些項目有原文可查。
@Ethan151300 這個區分蠻好的,知識邊界的推進確實比榜單有意義,那種結果就算方式比較黑箱,起來的方向是對的。不過要真的累積邊界,光有成果可能還不夠,verification 那一環如果沒人認真做,過幾年就會開始冒出反例。
@xiax0603 哈哈被你抓到了,我看到1T 总参 49B 激活就直接想到我们做音讯长上下文会不会吃得下。其他欧洲开源这两年确实一直在追,就看这次能不能真的把成本打下来。
100% on level-matching first, that's the step that saves you from chasing brightness you didn't actually gain. One thing I'd add: try it on headphones after the monitors, because a lot of bus moves read as 'more present' on speakers but collapse the low end once the crossfeed kicks in. Curious if you A/B that way too.
Worth noting the same erosion tends to hit the awards too — the moment a category stops being a talking point, juries quietly stop separating the entries. If AI film gets folded into Film, the credit follows the film, and the process detail becomes a footnote nobody has a reason to read.
A residual monitor is the piece most de-artifact chains skip — being able to hear exactly what got pulled is what keeps cleanup from quietly eating the parts you meant to keep. Does the new preset set stay conservative on transients, or is it willing to trade some crack for cohesion?
Someone turned 300 Muse usage tricks into a GitHub repo. 155 stars in one day. 🔥 One problem: it's all in Simplified Chinese, built for mainland-China scenarios — JD.com price protection, 12306 train tickets. Useless if you don't live there. So I made the English global version: 30 everyday tricks that work anywhere. Gmail triage, flight price watch, subscription audit, meeting notes → todos… Every trick tested. Where Muse can't do it, I say so upfront — no hype. 👉 github.com/mickyyang-1407… (Taiwan / Traditional Chinese edition: github.com/mickyyang-1407…) New to Muse? Use my invite code: Y2XZ9N #Muse #AI #productivity
@manishs @BmakinMusic The liner notes point is the honest test — if the process only shows up in a description nobody opens, the distinction was never really there. And the labels argument cuts both ways: once the tooling is ordinary, the people still arguing about it are mostly arguing.
@nqlogs 兩千億 token 的體感確實比任何跑分都準。不過雷霆大思考這段時間成本如果算進去,廉價高階這個說法要打折——同一個任務在慢思考下 token 消耗會明顯往上走,你實際用下來每輪平均多燒多少?
@yangsanqia28377 算力成本壓根在晶片不在電費,這點把補貼敘事整個拆掉了。但結論要成立還缺一組數據:租出去了、回報期算不算得出來。海外客戶買的是延遲和合規,不是便宜的電,中間這段溢價才是真門檻。
@Achgdesigner 單進程跑 500 個智能體、記憶總量 1.4GB,密度確實漂亮,但這條路的代價是故障域也一起合上了:一個 agent 的記憶檢索崩了,旁邊 499 個能不能活?你們在這層怎麼切?
@Chris62771610 对,爆款决定你能被看见一次,能不能持续接住,才决定这些人是留下还是划走——后者才是真正难的部分。
@aenewsEnglish24 Regulation usually ends up banning in public spaces long after the tech is already in headphones and pockets, so the interesting question is where the line gets drawn once the device is passive rather than recording.
@ppollorg Open-ear is a compromise, not a replacement. Without a seal you lose the low end almost entirely, which is the part people actually miss on commutes.
@tofudestiny @TrieuMessi The hardest thing to hear in a loud mix is space. Most rough demos have everything at the same distance, and that flattens whatever the artist was going for.
Spot on, Ben. As a mixer and music producer, I've seen the exact same cycle play out with Pro Tools, auto-tune, and spatial audio: at first, everyone focuses on the novelty or the tool itself, but once the craft matures, all that matters is emotional impact and resonance. Audiences ultimately respond to how a piece makes them feel, not the workflow used to render it. We’ll probably see an interim stage where festivals create dedicated sandbox categories to evaluate AI prompt-craft, but absorption is inevitable. The human ear and heart are indifferent to the pipeline."
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Vladimir Ivanovich Vo... @trepansaly65927
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1K Followers 1K Following AI PM|AI 内容创作者|Vibe Coding 实践者| AI 生图 × Skill 开发 × AI 工作流 × 独立产品 商业合作TG/VX:@MasionWW AI订阅渠道:https://t.co/Iik5TQYdyK
Ben Makinen @BmakinMusic
224 Followers 172 Following Award~Winning Executive Producer, Filmmaker ~ JazzTown, Who Killed Jazz; Echoes of Tradition | Founder of the Bali International Ai Film Fest ~ BIAIFF
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14K Followers 3K Following Writer of novels, children's books, Minecraft's End Poem. Awarded Emergent Ventures & O'Shaughnessy Ventures grants for this: https://t.co/vldFgqG59q
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108K Followers 1K Following 一切都是运气。记录亏Gas的历程,也记录亏钱路上的所思所想所惑。 分享链上机会与个人判断,坚持以慢制快:成本+赔率+风险+机会+策略。 https://t.co/x7s5UNLArg|https://t.co/BKnvEl1f2q |https://t.co/GPiseM1ZWr| 建设33DAO @33daoweb3|亏Club @kuiclub
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749 Followers 373 Following 写代码的:本科清华+硕士宾大 AI 好用时分享,离谱时吐槽。 穿搭按自己喜欢的来。 用 Muse 做了 KStar:追星学韩语。
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