AM09:21

17 | Developer | Searcher | JP
#kosen24s #NITWC

[AM09:21 @AM09_21]

雑多な私への質問はここにリプしてくれれば、適当に答えれると思い〼

[AM09:21 @AM09_21]

MuseSpark 1.1も追加で

普通に1.0時代から飛躍した進化があるから使えるモデルかも

[AM09:21 @AM09_21]

明日は新幹線でGrok / Sol / Terra / Luna / Fable / SWEを触る事になりそー......。こりゃぁ退屈しねぇな！！！

[AM09:21 @AM09_21]

これめっちゃいいスキルだよ。オススメ

[Emil Kowalski @emilkowalski]

New skill: /apple-design

Apple’s WWDC videos are a goldmine of knowledge. I’ve combed through my favorite ones and came up with 17 design and motion principles.

Use them to review existing work or when working on something new to get it right.

https://t.co/jCwhthpi20

[AM09:21 @AM09_21]

Muse Spark 1.1、1.0だと嬉々としてPayPayを再現してたのに悪用リスクを考慮してちゃんと拒否するようになってる
明確な成長を感じてて、去年のxAIみたいに来年ぐらいに思いっきり巻き返しそうな未来を感じるなー！

[AM09:21 @AM09_21]

Muse Spark！？？！？？

[AI at Meta @AIatMeta]

We’re excited to introduce Muse Spark 1.1, a significant upgrade from the first Muse Spark model we released earlier this year.

Along with this release, we are launching a public preview of the new Meta Model API where developers can access Muse Spark 1.1.

The model is also available now in "Thinking" mode in the Meta AI app and on https://t.co/wHkMPH82ZH.

Learn more: https://t.co/zGcA3XaWpN

[Tibo @thsottiaux]

Good morning ☀️

[Andrew Ambrosino @ajambrosino]

good morning

[バーチャルデータサイエンティスト アイシア=ソリッド @AIcia_Solid]

preprint 出しました ✌️
マスター的には10年ぶり！✌️

[2607.03108] Observable- and Positional-Encoding-Dependent Symmetry Readout from Neural Network Weights https://t.co/n2LBGBTH0m

[AM09:21 @AM09_21]

奇遇なことに、俺が好きな飯第一位と第二位がタコスと寿司っていうね

食べたいなぁ……

[Tibo @thsottiaux]

You know OpenAI is cooking when the sushi and tacos orders pile at the entrance of the office at 11pm.

Bizarrely we need to eat to cook.

[AM09:21 @AM09_21]

グワーッまじか

[Psyho @FakePsyho]

All problems have been solved by OpenAI!

[Jonathan Shobrook @jshobrook]

The 2T run is already in progress.

Time to give Anthropic a run for their money.

[AM09:21 @AM09_21]

世も末

[Amir Zamir @zamir_ar]

Turns out it's possible to generate videos that maximally excite an arbitrary brain region using a simple search-based algorithm. It's a fully computational approach, so it's another way to speculate what a brain region represents, alongside other neuroscientific methods.

Select an arbitrary brain region->algorithmically generate a video that jacks it up. See the visuals on the webpage https://t.co/UzKyN8MHda

In silico (for now)

[AM09:21 @AM09_21]

Grok 4.5でええわ

bye bye SWE1.7
お前はいいやつだったよ

[AM09:21 @AM09_21]

Composer 2.5超えどころかOpus 4.7超えじゃねーか
GPT 5.5 xhighに迫るのはやっべー......

え？これが1000tok/sで手に入るんです？

......Luna要らなくなっちゃったかも...

[Jarred Sumner @jarredsumner]

hopefully the blog post was good enough to justify the wait

we’re merging some more node.js compatibility improvements and then will release bun v1.4

[GOchu(🎮glegledisk) @GOchucampaign]

@AM09_21 gpt5.6はMythos/Fableより明確に賢いわけではないようですが、ガードレールが緩ければそれだけでFable越えにはなりますね

[AM09:21 @AM09_21]

なんかFableのtok/s速くなっとるな
嬉しい^^

[AM09:21 @AM09_21]

【定期】
クソベンチシリーズこの世で一番好き

[Liron Shapira @liron]

OpenAI lead is widening

[AM09:21 @AM09_21]

GPT 5.6 Sol UltraがFable級なのかMythos級なのか……それが問題だ(ガードレールの有無)

[AM09:21 @AM09_21]

samaがXで大暴れしてる
最高だ

[Sam Altman @sama]

🫶