hufflepuff
61 posts


中国揭阳虐狗案引发舆论,各地城市群众以不同方式声援,在闹市投放广告、派发传单,甚至进一步演变成抵制行动。有学者希望事件能促使政府立法保护动物。
bbc.in/4w7hZHH
中文

@bbcchinese 我是揭阳籍华人!我为#揭阳虐狗事件发声。支持严惩。未成年人保护法不是为保护罪恶,没有除外,必须立法保护动物。
中文

@wanwen2029 @wodanggangqiang 你以为对狗下手的那些人对人会有多善良,当有一天火烧到你身上铁丝缠到你脖子上木棍捅进你眼睛你就知道了
中文

在推特上,旺旺的话题有13500篇+帖子
对应的浏览量在3000W以上
国内从来没有哪个动物引起过这么大的关注
不仅仅是中国网友,全世界爱动物人士,尤其是日本网友都在为旺旺发声
#小狗旺旺 #揭阳旺旺
x.com/i/trending/207…
中文

揭阳虐狗,事件都火到海外了!
四个未成年小孩用铁线拖、用棍棒殴打,浇汽油火烧,把处于哺乳期的流浪母狗“旺旺”跟它的幼崽活活虐死。
母狗至死都在护着孩子,而他们却笑着拍视频!
去世前,旺旺眼都被刺瞎了,还顶着满身大火到处找自己孩子的尸体,是个人看了都忍不住落泪。
都说“人之初,性本善”,我觉得这话错得离谱;看看前几年邯郸那事,三个未成年人把高中生打死,没有一点善良可说。
事情都发生十几天了,陈乔恩声援过,杜江也多次发声,可当地还在疯狂删帖捂嘴,袒护那四个小孩。
《未成年人保护法》不是这么用的!
此事不仅是对公序良俗的践踏,更是严重的公共事件!台湾、香港、美国,很多国家跟地区的网民都在关注。
希望揭阳公开专门学校是哪里,给四个虐待动物的学生加以处分,入档案,并推进动物保护法成立!
最后,愿每一个小生命都能被世界温柔以待!


中文

中国広東省揭陽市で4人の餓鬼が(人間の子とすら言い難い) 母犬の前で仔犬をコロし
その母犬には生きたまま火をつけて笑いながら可燃性の液体をかけ続け焼きコロし
その所業を動画で撮影し投稿するという
地獄の鬼も目を背けそうな所業の動画が流れてきて見てしまった。
本件は世界中に拡散されており
この餓鬼らは施設送り(詳細は不明)になったという情報を見ましたが
とてもじゃないですがその動画を引用してここに張る気になれません。
今であればchina_dogの検索ワードで直ぐに出てくると思いますが
閲覧はお勧めできません。
見る方はくれぐれもご注意を。
恐ろしいのは
中国は、いわゆる動物愛護法や動物虐待防止法のような法律を整備していない。
本件の餓鬼が何歳か不明ですが
中国は基本14歳以上、極めて重大な犯罪は12歳以上でも刑事罰が課されますが
そもそも本件を裁く法律が無いと思われます。
治安秩序を乱したことに起因する法で裁かれるぐらいしか可能性はなく、その可能性も低そう。
ということは
あの餓鬼4人は法の裁きを経ずに、前科もつかず
今後もしかしたら
平気な顔して日本やその他の国々へ難なく入国してくる事もあり得る。
中国当局がこの件をどうするのか分かりませんが
こういうサイコパスはいずれエスカレートして人間にやりかねない。
「悪さ」をして、その様子を動画に撮って面白おかしく投稿する未成熟な子供は中国に限らずどこにでもいますが
「悪さ」の質が違いすぎませんか??
獲って食う訳でもない生き物をサツ害し
あろう事かそれを面白おかしく映像に収めるって
カテゴライズは「悪事」でなく
サイコパスの向こう側に行ってしまった「怪物」かと。
あの映像を見る限り矯正は無理だと思う。
世の中には何を言ってもどうしようもないタイプの人間が少なからずいますが
まさにそのタイプと思えます。
餓鬼という表現でいえば仏教では六道といって
天界
人間道
修羅道
畜生道
餓鬼道
地獄
これらを輪廻するという教えがありますが
人の道から遠く離れた畜生にも劣る行為とはまさにこの事。

日本語

Kimi K3 may be an important inflection point for AI. Potentially negative for Anthropic and OpenAI while being net positive for essentially every other company in the world. I mean that very literally. Although the real “Sputnik moment” would be an open-source frontier model that was also token efficient unlike Kimi K3 which is 50-70% more expensive to run than GPT 5.6 per Artificial Analysis.
Rationale:
A world where there are only 2-3 dominant frontier labs with 90% inference margins is net negative for every other layer while being awesome for those 2-3 labs. Those labs would become monopsonies for power, data centers, semiconductors and hyperscalers and would obviously vertically integrate over time into all those layers while also completely subsuming the application/software layers.
Anything that lowers margins and increases competition at the model layer is good for every other AI layer: power, semiconductors, hyperscalers, neoclouds and yes even software.
This is why Jensen is so supportive of open-source. An open-source model requires the *exact* same amount of compute to run as a closed frontier model of similar size and architecture. Kimi K3 is roughly the same price as GPT 5.6 Terra on a per token basis, which actually suggests that it is less computationally efficient as I am sure that GPT 5.6 is priced to a higher margin than K3. And given that K3 is a token wastrel, i.e. token inefficient, it is significantly more expensive per task than GPT 5.6 and Grok 4.5, which are much more token efficient. Cost per token and token efficiency (i.e. intelligence density per token) are the drivers of intelligence per unit of cost. The winning AI companies will be those that offer the most intelligence per $ over time.
Lower margin % at the model layer = more margin $ at every part of the infrastructure layer and is a godsend for software. This can happen either through open-source models like K3 at the frontier *or* having a vertically integrated model company like Meta, SpaceX or Google at the frontier. Both outcomes result in a lower margin % at the model layer as vertically integrated model companies don’t really care where the margin $ come from. This is why it was so painful for OpenAI and Anthropic when Google was right there with them from a model competitiveness perspective and why Grok 4.5 and Muse 1.1 were just as important as Kimi K3.
The reason Kimi K3 is only *potentially* negative for Anthropic and OpenAI is 1) the @ericvishria point that the Claude and ChatGPT products and harnesses may be more important than their models today and 2) the hypothesis that they have much more advanced model checkpoints internally that are already being used for RSI. In the latter scenario, reaching RSI even a few months ahead of other labs might be enough to cement a permanent lead.
Time will tell on both points. And likely fairly quickly.
Caveat would be that since Kimi K3 is not token efficient and thereby actually more expensive than ChatGPT 5.6, we may need to see a more token efficient open-source model at the frontier or see Grok 5/Composer 4/Muse 2 at multiple points on the Pareto frontier for this potential risk to Anthropic and OpenAI to play out. And I am sure they will both vertically integrate as quickly as possible while continuing the product/harness strength they have shown over the last 8 months.


English

Thank you, @NTRA, for supporting federal legislation that would close the horse slaughter pipeline once and for all! Learn more at aspca.org/SaveTheHorses
NTRA@NTRA
Yesterday, we joined with 70 other members of our industry in voicing our support for the SAFE Act’s continued inclusion in the Transportation and Infrastructure Committees’s BUILD America 250 Act. Find the letter we sent here: ntra.com/wp-content/upl…
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