Neil Lee

Founder and CEO @ Master Tones.

[Ed Newton-Rex @ednewtonrex]

🚨 Google continues to lobby the UK government to hand the work of the country's creatives to big tech companies for free.

And it does so by misrepresenting US copyright law, suggesting companies can simply train AI models in the US (where in fact, far from AI training simply being legal, there are 100+ lawsuits currently going through the courts).

The UK government should continue to resist this brazen demand for a handout of artists' work to the most powerful companies in the world.

https://t.co/YYHCq18V1l

[Neil Lee @phycause]

I totally agree with this. I've felt it at my company. People don't gather just to do a job. They gather because they recognize something in the culture and start to see it as part of who they are. The "shape" really does become the thing that holds people.

[Jaya Gupta @JayaGup10]

https://t.co/5vDrndcmFn

[A A A９９９ @AAA18288605]

権威あるアトランティック誌がSunoとUdioが使用した楽曲を検索できるデータベースを公開してる

これで向こうの音楽界隈も「勝手に楽曲が利用された」事への反発がジワジワ広まってるようだ

[DTMステーション @dtmstation]

秋葉原UDXで開催された第1回ADC Japan 2026。オーディオ開発者のための国際カンファレンスがついに日本上陸 #dtmステーション https://t.co/wHk1Dgr8wm

[日本経済新聞 電子版（日経電子版） @nikkei]

JASRAC、完全AI作品「管理しない」
https://t.co/SbqDww28Q3

AIが自律的に生成した歌詞や楽曲といった、人間の創作的寄与が認められないものが対象。歌詞と楽曲のいずれかをAI生成した場合は、AI部分のみ著作権が切れたパブリックドメインと同じ扱いにします。

[ペンギン @penpenguin2023]

『法務省はＡＩによる声や肖像の無断生成に対する民事上の責任について考える有識者検討会の次回会合（２８日）で、サービス提供の違法性について議論する。』

「雇うより安価」と著名人の声をＡＩで無断生成、「フリー素材のように使うのは問題」と声優憤り
https://t.co/0dNIYW2ZjO

[Yahoo!ニュース @YahooNewsTopics]

【生成AIで津田健次郎さん模倣 提訴】
https://t.co/BAdCMAiQqC

[Ed Newton-Rex @ednewtonrex]

This is huge and welcome news in the world of AI music.

Two of the biggest music distributors are banning music from Suno and other AI music companies they call "pirate studios".

They will allow AI music that comes from products that license training data, but not from products that don't.

(These distributors are what you use to get your music on Spotify etc.)

Believe's CEO said he doesn't understand why other distributors aren't doing the same. "Anyone distributing copyright-infringing content is liable for copyright infringement [action]."

Some will want them to ban all AI music, and I understand that. But their ban of what they call "pirate studios" sends a clear & important message: AI companies must license the training data they use.

https://t.co/bqpWXPvN03

[緒方恵美 @Megumi_Ogata]

歌手などの顔や声をＡＩで無断生成、権利の侵害を明確化…法務省が議論始める : 読売新聞 https://t.co/3IWxPrm7Z3

#NOMORE無断生成AI

[樋口紀信＠疫神のカルテ全3巻 @susujinkou]

ＡＩ法で事業者に罰則検討を…著作権侵害やディープフェイク被害相次ぎ、自民が提言案(読売新聞オンライン)
#Yahooニュース
https://t.co/FSpusSxi6g
”ディープフェイクの被害や著作権侵害が顕在化している」（略）「罰則を含めたより実効性ある適切な方策を検討」するように求めた”
よっしゃあ!!!!!

[GitHub Projects Community @GithubProjects]

Turn any audio sample into a time-stretched intersecting instrument instantly

[Tom Dörr @tom_doerr]

Library for object detection and segmentation

https://t.co/xiYqHtVUIh

[Dustin @r0ck3t23]

The godmother of AI just delivered the reality check Silicon Valley refuses to hear. She has the standing to say it.

Li: “Silicon Valley as a whole tends to mistake clear vision with short distance.”

Seeing the destination clearly has nothing to do with how hard it is to reach.

Self-driving cars were first demonstrated in 2006. Twenty years later Waymo is barely on the road.

The vision was never the problem. The distance was.

Clarity of destination gets mistaken for proximity to arrival. That’s the mistake the industry keeps making. And keeps making.

Li: “I consider myself a scientist in my heart and I actually really don’t like hyping.”

In an industry running at maximum temperature, Fei-Fei Li is one of the few people at the top willing to say that publicly.

Not because the technology isn’t real. Because the gap between what’s visible and what’s required is being systematically underestimated.

Large Language Models dominate the conversation. Text to text. Comparatively contained.

The harder problem is spatial intelligence. AI that reasons about and acts within the physical three-dimensional world. Hardware. Physics. Data that doesn’t exist yet. Real-time adaptation to chaos.

A robot that can clean a bathroom requires understanding every surface, every object, every force, every exception.

That’s not a software update. That’s a civilizational research problem.

Li: “I don’t call it hype. I call it a misleading sentiment. We don’t want to replace human creators.”

The second place the industry gets it wrong is creativity.

The narrative has hardened around replacement. AI takes the jobs. AI tells the stories. AI makes the art.

Li considers that not just wrong but destructive.

Wrong because AI doesn’t replicate creativity. Destructive because believing it can devalues the humans creating culture.

Human creativity isn’t a process to be automated. It’s fundamental to what we are as a species.

The goal is augmentation. Tools that make human creators faster and more capable. Not systems that generate output in the style of human work and call it creation.

That distinction matters more than most people in the industry are willing to sit with.

Precision of imagination is not proximity to reality.

Li has spent her career in the gap between those two things. The map isn’t the territory. The journey is long. The hurdles are deep.

And the scientist who built the foundation this era stands on is telling you the timeline everyone is selling is wrong.

We’ve been almost there with self-driving for twenty years.

The pattern doesn’t change just because the destination looks different.

[日本経済新聞 電子版（日経電子版） @nikkei]

ソニーG、作曲AIの学習データを特定　創作者への対価算出可能に
https://t.co/NsbPwxnzJ4

[日本アニメフィルム文化連盟 -NAFCA- @NAFCA_official]

動画生成AIサービスに関して

[Shih-Lun (Sean) Wu @slseanwu]

Excited to announce our ICASSP 2026 paper "Stemphonic: All-at-once Flexible Multi-stem Music Generation" !

w/ @__gzhu__, @j_p_caceres, @huangcza, and @NicholasJBryan

🔊Demo https://t.co/9TPzisBQLW
📰Paper https://t.co/SNWLNzyUAC

More details in🧵

[Ed Newton-Rex @ednewtonrex]

This is great news.

The Supreme Court has for now blocked Trump from firing Shira Perlmutter, the head of the US Copyright Office.

Just before she was fired, Perlmutter's office issued a report saying it was unlikely all generative AI training would be considered fair use.

https://t.co/HM5dUtH28A

[ペンギン @penpenguin2023]

集英社は単独で別途声明を出しています。

生成ＡＩを利用した権利侵害への対応について
https://t.co/4Xt7RfMBlp

[ペンギン @penpenguin2023]

講談社や小学館など出版社17社と2協会が「生成AI時代の創作と権利のあり方に関する共同声明」を発表。
https://t.co/aJsPp6wJ03

『権利者がAI事業者へオプトアウトを申請するのではなく、AI事業者が権利者に対してオプトインを申請し使用許諾を得ることの徹底が、いま一度求められます。』

[Ed Newton-Rex @ednewtonrex]

Very pleased to see this partnership between Universal Music and Stability AI.

Stable Audio was trained on licensed datasets from day one. It's great to see that evolve into this news today.

Training on licensed datasets is the way.

Onwards.

https://t.co/Q0a4yLipQk