Tetsuro Kobayashi

米政府、留学生の卒業後就労許可に1600万円の手数料検討　WSJ報道 nikkei.com/article/DGXZQO…

Why profanity is having a f*cking moment axios.com/2026/07/29/tru…

Supreme Court Job Approval Slumps to Record Low "Americans' approval of the job the U.S. Supreme Court is doing has fallen to a record low of 33%, driven by a steep drop in Republicans’ backing of the court since last year." news.gallup.com/poll/713096/su…

新榮記

熊日のスクープ、第二弾。 ＞ 【独自第2弾】「性的嗜好」や「異性関係」の項目も　陸自部隊による情報収集　日本人大学教授ら対象｜熊本日日新聞 #熊本のニュース #熊本日日新聞 #熊日 #熊本 kumanichi.com/articles/20169…

Very excited about the release of the ATLAS 1.0 white paper on AI use and the economy. The report is a broad collaboration between @Google & @GoogleDeepMind and covers how our AI is being used at scale. The data set has 15 million de-identified interactions across a large number of surfaces including the Gemini App, API, and Google's AI mode. This broad coverage gives us perspective on how AI is used both at work and outside of work. The team did a huge amount of work classifying interactions to specific tasks at work and at home. There are tons of interesting findings in the paper (link below) but here are some of my favorites: 1. Yes, white collar work is overrepresented in work-related AI usage, but it's also being used for a non-white collar work. It's used as a hands on collaborator for diagnostics and troubleshooting. Manual and technical trades tend to use the multimodal features more, images and video, e.g., auto techs and industrial mechanics interpreting complex test results, inspecting machinery for wear, debugging electrical wiring. 2. There is super broad diffusion of AI for almost everything. AI use covers occupations that represent 88% of total US employment, white collar work but also farmers and foresters. 3. AI is creating real value outside of work that GDP statistics may miss. This supports @erikbryn's proposal that GDP will be an incomplete measure of AI's positive impact on society. A huge number of AI interactions are in "productive household activities" such as researching things for the home, interior design, help with tools/appliances etc. Interactions regarding legal services are also highly overrepresented. 4. One of the most overrepresented uses of AI for non-work activities is interacting with the public sector. Activities related to interactions with govt services and civic obligations make up a huge number of interactions, and importantly, many take place outside of business hours. 5. Both #3 and #4 suggest to me that AI will be very useful in helping people navigate complexities and overcoming frictions/barriers in their every day lives. So many conversations about AI focus on labor market impacts, but welfare is not just work, and ATLAS nicely highlights that the broader impact of AI is quite significant. 6. We cover a good deal of global diffusion. English accounts for only 1/3 of global conversations and users engage with AI in their native language for both complex work and non-work tasks. Interestingly, non-OECD countries have a lot more image and video usage. The reason it's called 1.0 is because this is only the beginning. We have a ton of follow up projects in the works. ai.google/static/documen…

【独自第2弾】陸自部隊による情報収集　「性的嗜好」や「異性関係」の項目も　日本人大学教授ら対象｜熊本日日新聞 #熊本のニュース #熊本日日新聞 #熊日 #熊本 kumanichi.com/articles/20169…

【独自】陸自情報部隊が「愛国心」など調査か　国内有識者ら対象に個人情報収集　数千人分、シビリアンコントロール逸脱も 47news.jp/14670688.html

CfP for a workshop on Electoral Institutions and Democratic Backsliding at Waseda U to be held next January (Jan 28)--submission deadline on Aug 31.

Researchers proved every major LLM is secretly obsessed with Japan. And they finally figured out why. For years, we’ve been told that AI is entirely Western-centric, that it just reflects Silicon Valley and American values. A landmark paper by Cardiff and Basque researchers tested 31,680 cultural prompts across 24 languages on frontier models like ChatGPT, Claude, and Gemini. The results shattered that assumption. In six out of eight frontier models, Japan was the single most frequently referenced country when asked open-ended cultural questions. Ask about traditional dances, festivals, or everyday practices in an open context, and the AI defaults to Japan. Over and over again. Here is the twist nobody expected. This bias doesn't come from raw pre-training internet data. The researchers tracked where the obsession forms. It emerges after pre-training, during the supervised fine-tuning and alignment phase when humans teach the AI how to behave. Why Japan? Because decades of global soft power, rich cultural export, and clean, universally admired digital archives make Japanese culture uniquely "safe" for AI safety filters to lean on. When labs train models to be harmless and universally pleasing, the AI defaults to the cultural equivalent of comfort food. It avoids controversy by talking about anime, sushi, and tradition.

日本、完全に香港エクスプレスに舐められてる笑 新低desu!＼(^o^)／

禁じられしC word…! 私はいつもこの論文を引用して、 「estimand, estimate, その解釈を明確に切り分けて、estimandの話(研究目的など)をするときは因果表現使って、解釈は断定せず非因果的解釈もセットに、estimateはassociationalに記述しました」と対応している。 pmc.ncbi.nlm.nih.gov/articles/PMC58…

トランプ氏、演説の生中継を拒否した米放送局の免許取り消し要求 afpbb.com/articles/-/364…

【7/19(日)実施】シンポジウム：極右、排外主義と移民をめぐる現在地 waseda.jp/fhum/archs/new…

中国の好感度、米国を上回る　36カ国調査、トランプ政権で信頼急落 asahi.com/articles/ASV7H… 世界36カ国・地域の調査で、中国への好感度が米国を上回った――。米調査機関ピュー・リサーチ・センターが15日、そんな結果を公表した。

モタモタしてるうちに下がってきたので諸々の「本丸」は難しくなってくるのでは。

女性にはオキシトシン検査とか言い出しそう。