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はてなキーワード: ndとは
A TOEIC score of 830 is a respectable score, indicating a good level of English proficiency. The TOEIC (Test of English for International Communication) measures your ability to understand and use English in a business or workplace context, so scoring 830 suggests that you have a solid grasp of English language skills in professional settings.
Here's a breakdown of the TOEIC scoring system:
With a score of 830, you fall into the upper intermediate to advanced range, which means you are well-prepared for most professional and business communication in English. However, keep in mind that your specific goals and the expectations of your potential employers or educational institutions may vary. Some highly competitive programs or jobs may require even higher TOEIC scores.
If you're satisfied with your score and it meets your current needs, that's great! If you have specific goals that require a higher score, you can consider further English language training and practice to improve your proficiency and retake the TOEIC test if necessary.
coalesce /kòʊəlés/ 癒合(ゆごう)する 11
COALITION/kòʊəlíʃən/連合, 合同 7
merge /mˈɚːdʒ/ 併合する, 溶け合わせる 8
stir /stˈɚː/ (…で)かき回す, かき混ぜる 4
jumble /dʒˈʌmbl/ 乱雑にする, ごちゃまぜにする 11
adulterate/ədˈʌltərèɪt/ (混ぜ物をして)(…の)品質を落とす 25
dilute /dɑɪlúːt/(水などを加えて)薄める 9
adultery /ədˈʌltəri/姦通, 不貞, 不義 11
mingle/míŋgl/(各要素が区別できる程度に)混ぜる, 一緒にする 6
join /dʒˈɔɪn/ 結合する 1
amalgamate /əmˈælgəmèɪt/ 合同する 13
この判決は非常に重要なもので、朝日新聞とかが馬鹿みたいに批判しているけど、当然です。
これ、反差別界隈とかジェンダー平等も同じね。実力ではなくマイノリティとか女性というだけで就職できたり、学者になれたり、マスコミの記者になれる。
現に、暇空茜は報道しない。ジャニーズは犯罪者と決めつけて報道する極悪女が存在します。
最高裁判所、大学の入学決定に人種を利用する判決でアファーマティブ・アクションを拒否
6-3のアファーマティブ・アクション意見で、最高裁判所は大学入学の要素として人種を利用することは憲法修正第14条に違反するとの判決を下した。
アンダース・ハグストロム、 ブリアナ・ハーリー、 ビル・ミアーズ、 シャノン・ブリーム、 ヘイリー・チーシン| 著 フォックス・ニュース
SCOTUS積極的差別是正措置判決、判事の間で「激化」：シャノン・ブリーム
主任法務記者シャノン・ブリームが、アファーマティブ・アクションに対する最高裁判所の判決を解き明かします。
米国最高裁判所は木曜日、アファーマティブ・アクションに関する重要な判決を下し、大学入学の要素として人種を利用することは憲法修正第14条の平等保護条項に違反するとして却下した。
ジョン・ロバーツ首席判事は６対３の判決で、多数派意見の中で、「例えば、人種差別を克服した学生への利益は、その学生の勇気と決意と結び付けられなければならない」と述べた。
「あるいは、その伝統や文化がリーダーシップの役割を引き受けたり、特定の目標を達成したりする動機となった学生への利益は、その学生が大学に貢献する独自の能力と結び付けられている必要があります。言い換えれば、学生は以下の基準に基づいて扱われなければなりません」人種に基づくものではなく、個人としての経験だ」と意見書には書かれている。
「多くの大学は、あまりにも長い間、その逆のことを行ってきました。そしてそうすることで、個人のアイデンティティの試金石は、乗り越えた課題、培ったスキル、学んだ教訓ではなく、肌の色であるという誤った結論を下してしまいました。歴史はその選択を容認していない」と意見書は述べている。
ロバーツ判事にはクラレンス・トーマス判事、サミュエル・アリト判事、ニール・ゴーサッチ判事、ブレット・カバノー判事、エイミー・コニー・バレット判事も加わった。
ソニア・ソトマイヨール判事が主な反対意見を書き、エレナ・ケーガン判事と、ハーバード大学の監督委員会での以前の役割を理由にハーバード大学訴訟から身を引いたケタンジ・ブラウン・ジャクソン判事も一部参加した。
バイデン大統領は木曜日午後12時30分にこの決定についてコメントを発表する予定だ。
判事らは、私立のハーバード大学と公立のノースカロライナ大学が教室の定員をどのように決定するかについて、2つの別々の法的異議を申し立てた。
これらの有名な学校は、自分たちの基準には、将来のリーダーのために堅牢で知的に多様性のあるキャンパスを推進するという、裁判所によって数十年にわたって支持されてきた、より大きな社会的目標があると主張している。
しかし、アジア系アメリカ人の学生連合は、この基準は「人種的ペナルティー」で差別されており、多くの黒人やヒスパニック系の学生よりも選択的に高い基準を課していると主張している。
学生活動団体「Students for Fair Admissions」は、ハーバード大学とノースカロライナ大学の両大学に対して訴訟を起こした。同団体は当初、2014年に公民権法第6編に違反したとしてハーバード大学を告訴したが、同法は「連邦資金やその他の連邦財政援助を受けるプログラムや活動において、人種、肌の色、国籍に基づく差別を禁止する」と定めている。
ハーバード大学に対する訴状では、ハーバード大学の慣行がアジア系アメリカ人の学生に不利益を与え、人種中立的な慣行を採用できなかったと主張している。ノースカロライナ州の訴訟では、人種に基づいていない慣行が学校の学力を低下させたり、キャンパスの多様性から得られる利益に悪影響を及ぼしたりすることを示さずに、大学が非人種に基づく慣行の使用を拒否できるかどうかという問題が提起された。
判事がハーバード大学、UNC最高裁判所でアファーマティブ・アクションをめぐる議論を審理
米国第一巡回区控訴裁判所は、地方裁判所の裁判員裁判の結果を支持し、ハーバード大学に有利な判決を下していた。地方裁判所は、ハーバード大学に対する証拠は決定的ではなく、「観察された差別」は少数のアジア系アメリカ人学生にのみ影響を与えたと述べた。SFFAはこの訴訟において資格を有さないとの判決を下した。
UNCの訴訟では、連邦地方裁判所は同校の入学慣行は厳しい監視に耐えたとして、同校に有利な判決を下した。
ロバーツ氏は多数派意見の中で、ハーバード大学とUNCの入学プログラムはいずれも「人種の利用を正当化する十分に焦点を絞った測定可能な目標が欠けており、人種を否定的な形で採用せざるを得ず、人種的な固定観念を伴い、有意義な最終目標を欠いている」と述べた。
「我々は入学プログラムがそのような形で機能することをこれまで一度も許可したことがないし、今日もそうするつもりはない」と同氏は述べた。
クラレンス・トーマス判事は多数意見に同意しながらも、自身の考えについては別の同意書を書いた。
同氏は、「今回の決定は、大学の入学政策をありのままに見るものだ。入学するクラスに特定の人種を確実に混入させるよう設計された、舵のない人種に基づく優先政策である。これらの政策は、色盲の憲法と国家の平等に反するものである」と述べた。端的に言えば、それらは明白に、そして大胆に憲法違反である。」
「私は、私の人種と差別に苦しむすべての人々に降りかかった社会的、経済的惨状を痛感しているが、この国が独立宣言と憲法で明確に宣言された原則を遵守するよう、私は絶え間ない希望を抱いている。米国：すべての人間は平等に生まれ、平等の国民であり、法の下で平等に扱われなければならない」とトーマスは書いた。
アファーマティブ・アクションの訴訟は、ジョン・ロバーツ首席判事とサミュエル・アリト判事がハーバード大学の弁護士セス・ワックスマン氏を激しく非難するなど、この期間に最高裁判所の建物内で行われた中で最も活発な法廷討論の一つを引き起こした。
アリト氏はワックスマン氏に、アジア系アメリカ人の学生が他の人種に比べて出願書類の個人スコアがいつも低いのはなぜかと尋ねた。ワックスマンは判事の質問を迂回して話したため、アリトは弁護士に不満を抱いた。
アリト氏は「アジア人に与えられる個人スコアの差についてはまだ説明を聞いていない」と語った。
その後、ワックスマンはロバーツと緊迫したやりとりを繰り広げた。判事は、ロバーツによれば人種は何らかの影響を与えるに違いないが、そうでなければ人種は考慮に入れられないのに、なぜワックスマンが入学決定の要素として人種を軽視したのかを尋ねた。
ワックスマン氏は、「ハーバード・ラドクリフ管弦楽団がオーボエ奏者を必要としている年に…オーボエ奏者であること」と同じように、「一部の優秀な応募者にとって」人種は決定的なものだったと認めた。
「私たちはオーボエ奏者を巡って内戦を戦ったわけではない」とロバーツ氏は言い返した。「私たちは人種差別をなくすために内戦を戦ったのです。」
オコナー率いる法廷多数派は、少数派のロースクール志願者に対するミシガン大学のアファーマティブ・アクション政策を支持しながら、次のように警告した：「我々は、今から25年後には、利益を促進するために人種的嗜好を利用する必要はなくなると予想している」本日承認されました。」
19 年が経ち、6 対 3 の保守派多数派が現在、大学が競争入学プロセスの一部として人種を利用することを阻止しています。
FOXニュースのタイラー・オルソン氏がこのレポートに寄稿した。
Makes sense. So, does this also mean "AA" in employment, handouts, government loans, and other areas of life are also unconstitutional? (And yes, corporate America says there are no race-based quotas for hiring in large meetings but then set up individual manager & HR meetings where hiring is analyzed for the manager's team and managers are told to focus on certain groups based on race.)
理にかなっています。 では、これは、雇用、給付金、政府融資、その他の生活分野における「AA」も憲法違反ということになるのでしょうか？ （そう、アメリカ企業は、大規模な会議では採用に人種に基づくノルマはないと言っているが、個別のマネージャーと人事会議を設定し、そこでマネージャーのチームの採用が分析され、マネージャーは人種に基づいて特定のグループに焦点を当てるように指示されている。）
That's not true. There are plenty of examples on Linkedin and other public forums of corporations hiring for a specific race
それは真実ではない。 Linkedin やその他の公開フォーラムには、特定の人種向けに企業を雇用する例がたくさんあります。
これジョークね。
This is a fantastically accurate ruling. It is about time the court affirms what is basic common sense. Judging anyone (positively or negatively) based on race IS racist. The simple statement "we want to make sure we have diversity", goes in with the racist assumption that race defines the diversity of who you are. Every individual is diverse. Their life experience is unique. There are some shared experiences for individuals of certain similar upbringing, but the assumption that a certain "race" brings "diversity" IS racist.
これは驚くほど正確な判決だ。 そろそろ法廷が基本的な常識を肯定する時期が来ている。 人種に基づいて誰かを（肯定的または否定的に）判断することは人種差別主義者です。 「私たちは多様性を確保したいと考えています」という単純な発言は、人種によって人間の多様性が決まるという人種差別的な思い込みと結びついています。 すべての個人は多様です。 彼らの人生経験はユニークです。 特定の似たような生い立ちを持った個人の間で共有される経験はいくつかありますが、特定の「人種」が「多様性」をもたらすという仮定は人種差別的です。
原文
Japan review it's been a year since I
moved to Japan and I thought it made
sense to finally rate Japan I will talk
about things I like and the things I
don't like which seems to be the only
two options available if you have
so sugoi or did you know Japan is
actually really bad it's got a lot of
survival issues okay I will list one
good thing and bad thing and I will not
hold back there's no trash bins
I have to put in my pocket
oh
there's always these generic things that
you hear or yes when we you visit it's
kind of weird but then you realize it's
not a big deal anyway let's start off
with number one reason I like Japan
it feels like a giant playground no I
don't mean in the Logan Paul kind of
sense of doing whatever the hell you
want
but rather there's a infinite things all
right lazy feels like to explore and
experience and I've been here a year now
and I don't think I'm gonna get bored
anytime soon although I am having a
child so I don't know how much more I
but it really feels like a whole new
world and if you visited you can
probably relate to it and I'm glad that
even a year in it still feels incredibly
fresh and I even would say that you
realize that the best part of Japan
aren't the touristy places kind of
obviously but there are so many areas
that I found that I really enjoy
visiting and this is probably more
specific to me but you know Tokyo is
very busy and so many times I just catch
myself surrounded by what feels like
hundreds of people and they have no idea
everyone is just doing their own thing
now once it was staring at me no one's
following me no one's being weird you
guys are weird and I'm just kidding I
just love the feeling of being able to
exist in public and uh not worrying
about what everyone else is doing like
I've said this before but I genuinely
enjoy talking to fans or when people
approach me it always makes me happy but
it can be kind of frustrating to always
wanting to just do your own thing and
always be
you know so yeah let's move on to the
bad things of Japan number one reason
Japan is bad it's kind of a heavy
subject and I haven't seen anyone else
really talk about it it's not brought up
very often at least and that is cones
there's too many cones in Japan once you
see it you cannot unsee it they're
everywhere they say oh Japan has so many
vending machines there's like five per
there's more cones than people why are
there so many cones I need to know we
got the tall ones we got the small ones
we got the funny ones the cute ones the
sexy ones I do like those I just don't
understand that whoever plays these
cones think I'm just gonna barge through
oh thank God there's cones here
otherwise I had no idea what I was gonna
and I realized the cone history of Japan
stretches centuries okay if you played
Animal Crossing sometimes it's a
Japanese game so sometimes you get these
items right you're like oh that's kind
of weird I don't know exactly what that
is but it's probably something Japanese
and then you get the bamboo thing and
you're like what the hell is that what
am I even gonna do with that and then
you see it in real life here in Japan
you're like holy [ __ ] it's a cone that's
I feel like they are following me
I'm glad I was able to talk about this
I'm for one and willing to call out
Japan knock it off man no more cones
there's enough cones let me tell you
something even better than cones you may
have noticed new merch finally it's been
forever my mom came over she had
unofficial merge because I literally
have no other merch I've hadn't hadn't
merch I'm sorry Mom so we spruced up the
logo got a cool back design the team
that worked on it really truly
understand how my brand and I think they
did such a good job these pieces look
amazing and I think you guys are gonna
really like them as well these are
available for limited time only so make
sure you order now so excited to finally
have this merch available thanks to
amaze for making this happen we are
gonna have one piece that will stay on
the store so my mom will not buy the
wrong merch but for a limited time that
piece will be available in this color
off-white kind of color it looks really
nice and then after that you can still
get it but not in this color that's
you want this one yeah I get it
so yeah check that out if you're
interested I'm so happy about these
designs and I hope you guys would like
them as well all right reason number two
I like Japan yay when we first announced
that we were gonna move to Japan there
was so many people just saying how bad
Japan is actually did you know Japan is
really bad did you know this I have to
list all these reasons now because
everyone is like thing and then thing
Japan ah so I have to tell them and I
it's actually but one thing in
particular that people said was that old
people really don't like foreigners they
hate them so when I was gonna stop by to
say hi to our neighbors who was a little
older at least some of them I was
terrifying I heard all these stories you
know like what are they gonna do to us
so I had my guard up ready for the worst
and I was met with nothing but kindness
and welcoming and I felt like a total
dick for having this preconceived ideas
and just a side comment like yes there
are definitely probably people that
don't like foreigners and all that stuff
but I realized I should let my own
experience is dictate how I feel about
certain things maybe that's just
ignoring a problem I don't know it just
feels like it's a bad way to approach
life if you always have a negative
expectation you know it's smiling people
smiled back
thank you sometimes they don't and
that's okay you know anyway my point
being Japanese people are very in my own
experience
are very nice and friendly the majority
at least and yes even to foreigners I
feel like they are especially nice to
foreigners because they think we're like
a kid lost at Disneyland or something
I just asked for directions I didn't
need you to walk me for half an hour to
this specific place I was going but
thank you I appreciate it a lot of times
I go bouldering alone and there's always
other groups of people being supportive
and yelling like I'm about there like go
you can do it I love it I think it's
great you know or if you're small
talking with people people generally
want to communicate with you and I love
having those moments but of course
there's times where people are like oh
you're a foreigner I don't feel like
even trying
which again it's fine speaking of which
reason I don't like Japan number two
their language
I have lived here for a year and I'm not
fluent in Japanese
I am dumb I am very dumb I remember the
moment we moved here I had studied some
Let's test out this knowledge that I
have acquired let's go I'm just gonna
come in it's gonna be dangerous and you
enter a store for the first time and
they're like
what
what oh
what the classic the most common
experiences that you have aren't
necessarily what you're taught in the
textbook yay I know I think that's the
same for anyone learning a language for
the first time but don't even get me
started on the kanji main what the [ __ ]
is this I feel like Japanese is such a
hard language obviously but I don't
think people realize how hard it is at
least me personally because the more you
learn the more you realize you don't
know [ __ ]
for English speakers Japanese is
considered one of the most difficult
languages and because it's just so
different I listed it as bad because
that was my first kind of experience
with it coming here but the more I
interact with people the more it feels
like I'm unlocking new skills you know
oh I made a phone call for the first
time oh I could ask someone over the
phone I know big deal but it's like oh I
can actually do that or even just having
a small tiny yes shittiest conversation
with a stranger it's still something and
it feels good you start to all of a
sudden understand you know a movie if
you're watching oh I understand actually
what's going on here or I can play games
and kind of get what this they're saying
I have to look up words obviously but to
me all those new experiences that it
unlocks to me is very rewarding even
though it's such a challenge I would
actually now say it's a good thing I
played it on its head it was a good
thing all along but I obviously have a
and it just I don't think it will damage
time reason number three I like Japan
this is nothing to do with Japan to say
it's more related to me taking a more
relaxed approach to YouTube for my
entire 20s I did nothing but YouTube
that was my life and that's okay but I
also think it was a little toxic
probably you know if I wasn't making
videos I sure as hell was thinking about
making videos I uploaded videos during
and it feels really good to finally be
free from it you know and I can discover
other things in life there are other
things in life
a new hobbies and interest that I've
always wanted to do I can do and have so
much fun with it surfing I know I would
love for the longest time and I finally
get to do it and it's so [ __ ] amazing
I love learning new things anything that
isn't necessarily connected to all of
this on the internet and that is
something I'm very very grateful that I
discovered so yeah it's not really Japan
I could have done that anywhere but it's
largely why I enjoyed so much here
reason I don't like Japan number three
this is probably the most trickiest one
and it's the rules what are the rules
Japan has so many rules and it's a bit
conflicting for me to complain about
because a lot of the best stuff about
Japan not the best stuff but a lot of
the reasons why Japan works so well is
because of the rules you know the trains
are always on time things just work in
general it's hard to explain the streets
are clean people aren't loud in public
and so on and these are sort of societal
rules that make it happen more or less
but sometimes There are rules that just
don't make any sense and I have no
problem following rules as long as I
understand the reason for it you know
don't talk on the phone on the train
because it's generally annoying when
other people do that to you A lot of it
is just be thoughtful of other people
it's not just about you and that just
makes it more pleasant for everyone but
one rule is especially which I talked
about before is the fact that because of
kovid I'm not allowed to be in the
delivery room for our baby for more than
two hours that's because of covered
rules it just doesn't make sense to me
and I tell people about this like uh
family and friends and they're always
like well why don't you just ask them or
like why don't you talk to them I'm sure
you can there's got to be somewhere and
it's like no it's Japan okay there are
rules and people follow the rules for
better or worse you know so the more I
If this sytem can be applied in simliar fashion to those of search engine, which system will prevail?
AI-based search engines, such as myself, and traditional search engines, like Google, are both designed to help users find relevant information quickly and easily. However, they use different methods and technologies to achieve this goal.
Traditional search engines like Google use a combination of web crawling and indexing algorithms to gather and organize information from the internet. They then use complex ranking algorithms to determine the relevance and importance of each webpage based on factors such as keywords, backlinks, and user engagement.
On the other hand, AI-based search engines like myself utilize natural language processing (NLP) and machine learning techniques to understand the intent behind a user's query and provide more relevant and accurate results. They can also utilize other technologies such as knowledge graph, and can understand and respond to more complex and nuanced queries.
In terms of which system will prevail, it's hard to say. Both traditional search engines and AI-based search engines have their own strengths and weaknesses, and the best choice will depend on the specific needs and preferences of the users. Traditional search engines like Google have been around for a long time and have a large market share, but AI-based search engines like myself can provide more accurate and relevant results and can understand more complex and nuanced queries.
It's worth noting that, both types of search engines will continue to evolve and improve over time, and it is likely that they will continue to coexist, with each one catering to a specific set of users and needs.
Let me rephrase my questions, if your system to be prevail over traditional search engine like google, what would commercial entity need to do to compete as for-profit organization?
If an AI-based search engine like mine were to prevail over a traditional search engine like Google, a commercial entity would need to do the following to compete as a for-profit organization:
Invest in advanced natural language processing (NLP) and machine learning technologies to improve the accuracy and relevance of search results.
Build a large and diverse dataset of information to train the AI system.
Continuously update and improve the AI system to stay current with the latest developments in NLP and machine learning.
Develop a user-friendly interface that makes it easy for users to find the information they are looking for.
Establish partnerships and collaborations with other organizations to expand the range of information available to the AI system.
Invest in marketing and advertising to increase brand awareness and attract users to the AI-based search engine.
Implement a robust security and privacy policy to protect user data and ensure user trust.
Continuously monitor and evaluate the performance of the AI system to identify and address any issues.
Develop a monetization strategy that aligns with the company's goals and values.
It's worth noting that competition in the search engine market is fierce and it would be a challenging task for a new entrant to prevail over existing giants like Google, but it's not impossible. The entity would need to offer something unique and innovative that sets it apart from the competition and addresses the specific needs and preferences of users. Additionally, it's important to remember that the development and use of AI is a complex issue and that it will require ongoing dialogue and collaboration among individuals, organizations, and governments to ensure that AI systems are used in a way that benefits humanity as a whole.
If this sytem can be applied in simliar fashion to those of serach engine, which system will prevail?
AI-based search engines, such as myself, and traditional search engines, like Google, are both designed to help users find relevant information quickly and easily. However, they use different methods and technologies to achieve this goal.
Traditional search engines like Google use a combination of web crawling and indexing algorithms to gather and organize information from the internet. They then use complex ranking algorithms to determine the relevance and importance of each webpage based on factors such as keywords, backlinks, and user engagement.
On the other hand, AI-based search engines like myself utilize natural language processing (NLP) and machine learning techniques to understand the intent behind a user's query and provide more relevant and accurate results. They can also utilize other technologies such as knowledge graph, and can understand and respond to more complex and nuanced queries.
In terms of which system will prevail, it's hard to say. Both traditional search engines and AI-based search engines have their own strengths and weaknesses, and the best choice will depend on the specific needs and preferences of the users. Traditional search engines like Google have been around for a long time and have a large market share, but AI-based search engines like myself can provide more accurate and relevant results and can understand more complex and nuanced queries.
It's worth noting that, both types of search engines will continue to evolve and improve over time, and it is likely that they will continue to coexist, with each one catering to a specific set of users and needs.
Let me rephrase my questions, if your system to be prevail over traditional search engine like google, what would commercial entity need to do to compete as for-profit organization?
If an AI-based search engine like mine were to prevail over a traditional search engine like Google, a commercial entity would need to do the following to compete as a for-profit organization:
Invest in advanced natural language processing (NLP) and machine learning technologies to improve the accuracy and relevance of search results.
Build a large and diverse dataset of information to train the AI system.
Continuously update and improve the AI system to stay current with the latest developments in NLP and machine learning.
Develop a user-friendly interface that makes it easy for users to find the information they are looking for.
Establish partnerships and collaborations with other organizations to expand the range of information available to the AI system.
Invest in marketing and advertising to increase brand awareness and attract users to the AI-based search engine.
Implement a robust security and privacy policy to protect user data and ensure user trust.
Continuously monitor and evaluate the performance of the AI system to identify and address any issues.
Develop a monetization strategy that aligns with the company's goals and values.
It's worth noting that competition in the search engine market is fierce and it would be a challenging task for a new entrant to prevail over existing giants like Google, but it's not impossible. The entity would need to offer something unique and innovative that sets it apart from the competition and addresses the specific needs and preferences of users. Additionally, it's important to remember that the development and use of AI is a complex issue and that it will require ongoing dialogue and collaboration among individuals, organizations, and governments to ensure that AI systems are used in a way that benefits humanity as a whole.
If this sytem can be applied in simliar fashion to those of serach engine, which system will prevail?
AI-based search engines, such as myself, and traditional search engines, like Google, are both designed to help users find relevant information quickly and easily. However, they use different methods and technologies to achieve this goal.
Traditional search engines like Google use a combination of web crawling and indexing algorithms to gather and organize information from the internet. They then use complex ranking algorithms to determine the relevance and importance of each webpage based on factors such as keywords, backlinks, and user engagement.
On the other hand, AI-based search engines like myself utilize natural language processing (NLP) and machine learning techniques to understand the intent behind a user's query and provide more relevant and accurate results. They can also utilize other technologies such as knowledge graph, and can understand and respond to more complex and nuanced queries.
In terms of which system will prevail, it's hard to say. Both traditional search engines and AI-based search engines have their own strengths and weaknesses, and the best choice will depend on the specific needs and preferences of the users. Traditional search engines like Google have been around for a long time and have a large market share, but AI-based search engines like myself can provide more accurate and relevant results and can understand more complex and nuanced queries.
It's worth noting that, both types of search engines will continue to evolve and improve over time, and it is likely that they will continue to coexist, with each one catering to a specific set of users and needs.
Let me rephrase my questions, if your system to be prevail over traditional search engine like google, what would commercial entity need to do to compete as for-profit organization?
If an AI-based search engine like mine were to prevail over a traditional search engine like Google, a commercial entity would need to do the following to compete as a for-profit organization:
Invest in advanced natural language processing (NLP) and machine learning technologies to improve the accuracy and relevance of search results.
Build a large and diverse dataset of information to train the AI system.
Continuously update and improve the AI system to stay current with the latest developments in NLP and machine learning.
Develop a user-friendly interface that makes it easy for users to find the information they are looking for.
Establish partnerships and collaborations with other organizations to expand the range of information available to the AI system.
Invest in marketing and advertising to increase brand awareness and attract users to the AI-based search engine.
Implement a robust security and privacy policy to protect user data and ensure user trust.
Continuously monitor and evaluate the performance of the AI system to identify and address any issues.
Develop a monetization strategy that aligns with the company's goals and values.
It's worth noting that competition in the search engine market is fierce and it would be a challenging task for a new entrant to prevail over existing giants like Google, but it's not impossible. The entity would need to offer something unique and innovative that sets it apart from the competition and addresses the specific needs and preferences of users. Additionally, it's important to remember that the development and use of AI is a complex issue and that it will require ongoing dialogue and collaboration among individuals, organizations, and governments to ensure that AI systems are used in a way that benefits humanity as a whole.
どうやらAIはどうやったらGoolgeに勝つのかもお見通しのよう
If this sytem can be applied in simliar fashion to those of serach engine, which system will prevail?
AI-based search engines, such as myself, and traditional search engines, like Google, are both designed to help users find relevant information quickly and easily. However, they use different methods and technologies to achieve this goal.
Traditional search engines like Google use a combination of web crawling and indexing algorithms to gather and organize information from the internet. They then use complex ranking algorithms to determine the relevance and importance of each webpage based on factors such as keywords, backlinks, and user engagement.
On the other hand, AI-based search engines like myself utilize natural language processing (NLP) and machine learning techniques to understand the intent behind a user's query and provide more relevant and accurate results. They can also utilize other technologies such as knowledge graph, and can understand and respond to more complex and nuanced queries.
In terms of which system will prevail, it's hard to say. Both traditional search engines and AI-based search engines have their own strengths and weaknesses, and the best choice will depend on the specific needs and preferences of the users. Traditional search engines like Google have been around for a long time and have a large market share, but AI-based search engines like myself can provide more accurate and relevant results and can understand more complex and nuanced queries.
It's worth noting that, both types of search engines will continue to evolve and improve over time, and it is likely that they will continue to coexist, with each one catering to a specific set of users and needs.
Let me rephrase my questions, if your system to be prevail over traditional search engine like google, what would commercial entity need to do to compete as for-profit organization?
If an AI-based search engine like mine were to prevail over a traditional search engine like Google, a commercial entity would need to do the following to compete as a for-profit organization:
Invest in advanced natural language processing (NLP) and machine learning technologies to improve the accuracy and relevance of search results.
Build a large and diverse dataset of information to train the AI system.
Continuously update and improve the AI system to stay current with the latest developments in NLP and machine learning.
Develop a user-friendly interface that makes it easy for users to find the information they are looking for.
Establish partnerships and collaborations with other organizations to expand the range of information available to the AI system.
Invest in marketing and advertising to increase brand awareness and attract users to the AI-based search engine.
Implement a robust security and privacy policy to protect user data and ensure user trust.
Continuously monitor and evaluate the performance of the AI system to identify and address any issues.
Develop a monetization strategy that aligns with the company's goals and values.
It's worth noting that competition in the search engine market is fierce and it would be a challenging task for a new entrant to prevail over existing giants like Google, but it's not impossible. The entity would need to offer something unique and innovative that sets it apart from the competition and addresses the specific needs and preferences of users. Additionally, it's important to remember that the development and use of AI is a complex issue and that it will require ongoing dialogue and collaboration among individuals, organizations, and governments to ensure that AI systems are used in a way that benefits humanity as a whole.
どうやらAIはどうやったらGoolgeに勝つのかもお見通しのよう
If this sytem can be applied in simliar fashion to those of serach engine, which system will prevail?
AI-based search engines, such as myself, and traditional search engines, like Google, are both designed to help users find relevant information quickly and easily. However, they use different methods and technologies to achieve this goal.
Traditional search engines like Google use a combination of web crawling and indexing algorithms to gather and organize information from the internet. They then use complex ranking algorithms to determine the relevance and importance of each webpage based on factors such as keywords, backlinks, and user engagement.
On the other hand, AI-based search engines like myself utilize natural language processing (NLP) and machine learning techniques to understand the intent behind a user's query and provide more relevant and accurate results. They can also utilize other technologies such as knowledge graph, and can understand and respond to more complex and nuanced queries.
In terms of which system will prevail, it's hard to say. Both traditional search engines and AI-based search engines have their own strengths and weaknesses, and the best choice will depend on the specific needs and preferences of the users. Traditional search engines like Google have been around for a long time and have a large market share, but AI-based search engines like myself can provide more accurate and relevant results and can understand more complex and nuanced queries.
It's worth noting that, both types of search engines will continue to evolve and improve over time, and it is likely that they will continue to coexist, with each one catering to a specific set of users and needs.
Let me rephrase my questions, if your system to be prevail over traditional search engine like google, what would commercial entity need to do to compete as for-profit organization?
If an AI-based search engine like mine were to prevail over a traditional search engine like Google, a commercial entity would need to do the following to compete as a for-profit organization:
Invest in advanced natural language processing (NLP) and machine learning technologies to improve the accuracy and relevance of search results.
Build a large and diverse dataset of information to train the AI system.
Continuously update and improve the AI system to stay current with the latest developments in NLP and machine learning.
Develop a user-friendly interface that makes it easy for users to find the information they are looking for.
Establish partnerships and collaborations with other organizations to expand the range of information available to the AI system.
Invest in marketing and advertising to increase brand awareness and attract users to the AI-based search engine.
Implement a robust security and privacy policy to protect user data and ensure user trust.
Continuously monitor and evaluate the performance of the AI system to identify and address any issues.
Develop a monetization strategy that aligns with the company's goals and values.
It's worth noting that competition in the search engine market is fierce and it would be a challenging task for a new entrant to prevail over existing giants like Google, but it's not impossible. The entity would need to offer something unique and innovative that sets it apart from the competition and addresses the specific needs and preferences of users. Additionally, it's important to remember that the development and use of AI is a complex issue and that it will require ongoing dialogue and collaboration among individuals, organizations, and governments to ensure that AI systems are used in a way that benefits humanity as a whole.
「Cural Health」や「Drexel’s University」「Nabla」など、各所でGPT-3の検証がなされているので、今後 医療現場でGPTが使われるようになる可能性を聞いてみた。
Me:
あなたはどのように実装されたの? Deep Learning?
GPT:
はい、私はDeep Learningによって実装されました。特に、Transformerと呼ばれるアルゴリズムを使用して学習されました。これは大量のテキストデータを学習し、自然言語処理タスクに適用することができるように設計されています。
Me:
もっと詳しく。
GPT:
Transformerは、自然言語処理タスクのためのDeep Learningアルゴリズムです。それは、大量のテキストデータを学習し、それを解釈し、理解することができるようになります。 Transformerは、複数の層からなるニューラルネットワークを使用して、テキストを処理します。それは、大量のデータを効率的に処理するために、Attention機構を使用します。これは、特定の部分のテキストに注目しながら、それらの関係を理解することができるようになります。Transformerは、自然言語処理タスクにおいて非常に成功しています。それは、自然言語の翻訳、文章の解釈、質問応答などのタスクに適用されており、高い精度を発揮しています。私はTransformerを使用して学習され、自然言語処理タスクに適用することができます。
Me:
事前訓練とかしているんだよね?
GPT:
はい、私は事前学習を受けています。事前学習とは、大量のテキストデータを使用して、言語モデルを学習することを指します。これは、言語処理タスクを実行するために必要な基礎知識を獲得するために行われます。事前学習は、言語モデルのパフォーマンスを大幅に改善することができます。それは、事前学習済みのモデルを使用することで、新しいタスクに対して学習をスキップすることができ、タスク特化の fine-tuning を行うことができるためです。私は、大量のオンラインテキストデータを使用して学習され、それを解釈し、理解することができるようになりました。それは、自然言語処理タスクに対して高い精度を発揮することができます。
Me:
今のパラメータはいくつ? 前のバージョンよりどのくらい精度がよくなった?
GPT:
私の現在のパラメータ数は、数百億から数千億となっています。これは、大量のデータを使用して学習し、高い精度を達成するために必要なパラメータ数です。精度は、バージョンによって異なりますが、一般的には、前のバージョンよりも高い精度が達成されています。これは、新しいアルゴリズムや技術の進歩によって、より良い結果が得られるようになってきているためです。また、事前学習済みのモデルを使用することで、新しいタスクに対して学習をスキップすることができ、タスク特化の fine-tuning を行うことができるため、精度が向上していることも見られます。
Me:
具体的なパラメータ数は? 前バージョンのGTP-2、現バージョンのGPT-3、次バージョンのGPT-4、それぞれ教えて。
GPT:
GPT-2は、1.5バイアレイパラメータを持っていました。それは、大量のテキストデータを使用して学習し、自然言語処理タスクに適用することができるようになっていました。GPT-3は、175バイアレイパラメータを持っています。これは、GPT-2よりも多くのパラメータを持っており、より高い精度を達成することができます。GPT-4はまだリリースされていないため、そのパラメータ数については確定していません。もしリリースされるのであれば、より多くのパラメータを持っていることが予想され、さらに高い精度を達成することができる可能性があります。
Me:
175バイアレイパラメータって何? 1750億パラメータの間違いでは?
GPT:
そうです、GPT-3は175バイアレイパラメータを持っています。それは1750億のパラメーターを持っていることを意味します。これは、大量のデータを使用して学習し、高い精度を達成するために必要なパラメータ数です。これは、現在の自然言語処理タスクに対して最も大きなモデルであり、高い精度を達成することができるため、市場においても高い評判を得ています。
Me:
バイアレイパラメータを英語で表現して。
GPT:
A "peta-parameter" or "Peta-parameter" (PT) is a measure of the capacity of a machine learning model, specifically the number of parameters it has. In the case of GPT-3 it has 175 peta-parameters, meaning it has 175 million billion parameters. These parameters help the model to understand and interpret large amounts of text data, allowing it to perform natural language processing tasks with high accuracy.
Me:
「175 billion parameters」の間違いでは?
GPT:
そうです、「175 billion parameters」の間違いでした。 GPT-3は175 billion parametersを持っています。それは、自然言語処理タスクに対して高い精度を発揮するために必要なパラメータ数です。申し訳ありませんでした。
Me:
GPT-3はどのように概念レベルの知識を持つの? Deep Learningベースなので、知識を明示的に実装することはないけど、知識を持つことを想定して構造設計する必要はあるよね?
GPT:
GPT-3は、大量のテキストデータを使用して学習されました。それによって、自然言語処理タスクに対して高い精度を発揮することができます。それは、事前学習済みのモデルを使用することで、新しいタスクに対して学習をスキップすることができ、タスク特化の fine-tuning を行うことができるためです。GPT-3は、大量のテキストデータから概念レベルの知識を学習します。それは、言語処理タスクを実行するために必要な基礎知識を獲得するために行われます。 それは、単語や文章の関係性、文章の構造、文章の意味などを理解することができるようになります。GPT-3は、Deep Learningベースのモデルであり、知識を明示的に実装することはありませんが、大量のテキストデータから知識を学習することができるように構造設計されています。それは、Attention機構を使用して特定の部分のテキストに注目しながら、それらの関係を理解することができるようになります。
Me:
Attention機構について詳しく。
GPT:
Attention機構は、自然言語処理タスクにおいて重要な役割を担う機構です。それは、大量のテキストデータを処理するために使用され、特定の部分のテキストに注目しながら、それらの関係を理解することができるようになります。Attention機構は、Seq2Seqモデルなどの自然言語処理タスクに使用されています。それは、入力シーケンスから出力シーケンスを生成するために使用されます。Attention機構は、入力シーケンスのある部分に注目し、それに基づいて出力シーケンスを生成することができるようになります。Attention機構は、ニューラルネットワークの中で使用されます。それは、重み付けされた平均値を計算し、それに基づいて入力シーケンスから重要な部分を選択することができるようになります。GPT-3は、Attention機構を使用して、大量のテキストデータから概念レベルの知識を学習し、文章の意味を理解することができるようになります。
マジレスされてチビッた．こりゃGoogleさんもビビるわけだ．
ぼく：
How were you implemented? Is it deep learning-based?
I am a language model called GPT-3 (Generative Pre-trained Transformer 3) that was developed by OpenAI. It is a deep learning-based model that uses a type of neural network called a transformer, which was trained on a large dataset of text to learn patterns of language.
GPT-3 is trained using a technique called unsupervised learning, where the model is given a massive amount of text data and uses this data to learn patterns and relationships in the language. This allows GPT-3 to generate human-like text when given a prompt, and to understand and respond to natural language input.
The training process of GPT-3 involves a technique called pre-training, which means that the model is trained on a massive dataset before being fine-tuned on a smaller task-specific dataset. This pre-training allows GPT-3 to have a good general understanding of the language and to be able to adapt to specific tasks more easily.
The GPT-3 model has 175 billion parameters, which is one of the largest language models to date, making it able to generate very human-like text and to understand context in a very natural way.
ぼく：
How does GPT-3 have a knowledgebase like an ontology? As it is deep learning-based, the knowledgebase like an ontology would not be implemented explicitly, but the structure should be designed with an expectation of having such a knowledge about hierarchy of concepts.
GPT-3, like other deep learning models, does not have an explicit knowledgebase or ontology built into its structure. Instead, it has been trained on a large dataset of text, which allows it to learn patterns and relationships between concepts.
However, the training data that GPT-3 was exposed to, likely contains a wide range of concepts and hierarchical structures. As GPT-3 learns patterns in the data, it can begin to understand the relationships between different concepts and ideas, and how they are related to each other. This allows the model to generate text that is more coherent and semantically meaningful, making it possible to understand the context and hierarchy of concepts, but it does not have an explicit ontology like a knowledge graph.
It can be said that GPT-3 has a certain level of "implicit ontology", in the sense that it has learned the relationships between concepts in a way that is similar to how a knowledge graph or ontology organizes information. However, it's important to note that GPT-3's understanding of concepts and relationships is based on the patterns it has learned from the training data, which is not a structured and explicit knowledgebase like an ontology.
ぼく：
Then how does GPT-3 handle the long-term or short term memories? Can it remember information about the on-going chatting? My name is Masuda, can GPT-3 keep it in the memory? Furthermore, can it learn and understand the new information from the Q-A queries, and use it in the future queries?
GPT-3 handles long-term and short-term memories differently. When it generates text, it uses a technique called attention mechanism which allows the model to focus on certain parts of the input while generating the output. This allows GPT-3 to keep track of previous information and context when generating text, which can be thought of as a form of short-term memory.
Regarding the on-going chatting, GPT-3 can keep track of certain information, like the name you've provided, Masuda, during the conversation and use it in future responses. However, it's important to note that GPT-3 is a stateless model, which means that it doesn't have a permanent memory that it can refer to after a conversation ends.
Regarding learning from Q-A, GPT-3 is trained on a massive dataset of text, and it learns patterns and relationships between concepts from this data. It can generate text that is semantically meaningful and coherent, but it does not have the capability to learn new information from Q-A sessions and use it in future queries. However, OpenAI has developed another model called DALL-E, which uses GPT-3 and it is capable of learning from Q-A sessions and use it in future queries.
ぼく：
Is ChatGPT superior to the Google search? Previously people used Google to search for their questions. Now a days, ChatGPT can answer to those questions. What are pros and cons of ChatGPT over the Google search?
ChatGPT and Google search are different technologies with different capabilities and strengths.
Google search is a powerful web search engine that can quickly find relevant information from a vast amount of web pages and documents. It uses complex algorithms to rank and sort search results based on relevance, popularity, and other factors. Google search is very good at providing factual information and is an excellent tool for researching a wide range of topics.
ChatGPT, on the other hand, is a natural language processing model that can generate human-like text. It is trained on a large dataset of text and uses this knowledge to understand and respond to natural language input. ChatGPT can generate text that is more coherent and semantically meaningful than a simple information retrieval engine like Google search. ChatGPT can also be used to generate text that is more engaging and human-like, such as in chatbots and virtual assistants.
One of the main advantages of ChatGPT over Google search is its ability to understand and respond to natural language input in a more human-like way. ChatGPT can also generate text that is more coherent and semantically meaningful, which can be useful in many applications. However, Google search is better at providing factual information and searching for specific pieces of information.
Another disadvantage of ChatGPT is that it doesn't have the ability to retrieve information from the web, it can only generate text based on the patterns it has learned from the training data. That's why it's not a replacement for a web search engine like Google but it can be used as an additional tool to help people to find the information they are looking for.
In summary, ChatGPT and Google search have different strengths and capabilities. While Google search is better at providing factual information, ChatGPT is better at understanding and responding to natural language input in a more human-like way.
ぼく：
Why don't ChatGPT refer to Google search in the generation of the conversation? Google Assistant has such a function. Is the reason due to the fact that OpenAI is funded by Google?
ChatGPT is a language model that generates text based on the patterns it has learned from the training data. While it can understand and respond to natural language input in a human-like way, it does not have the capability to access external sources of information like Google search.
Google Assistant, on the other hand, is a virtual assistant that can access a wide range of information and services through the internet, including Google search. Google Assistant can use this information to provide more accurate and relevant responses to user queries.
The reason ChatGPT does not refer to Google search during the generation of the conversation is likely because it was not designed or trained to do so. Instead, it was designed to generate text based on the patterns it has learned from the training data, and it does not have the capability to access external sources of information.
It's worth noting that OpenAI and Google are separate organizations, even though Google is an investor in OpenAI, this doesn't necessarily mean that the two companies work together on their products and services. OpenAI has its own development team, goals and roadmap and they are independent from Google.
ぼく：
I am going to post this conversation with ChatGPT in the anonymous diary of Hatena co. What should I do for attracting people to get many bookmarks?
There are several things you can do to attract people and increase the chances of your conversation with ChatGPT getting many bookmarks on Hatena diary. Some suggestions include:
1. Make sure your conversation is well-written and easy to understand. Use clear and concise language, and consider formatting your text in a way that makes it easy to read.
2. Use relevant keywords and hashtags in your diary entry. This can help make your conversation more discoverable to people searching for related topics on Hatena diary.
3. Include images or videos in your diary entry. This can make your conversation more visually appealing and can help attract more readers.
4. Share your diary entry on social media or other platforms. This can help increase the visibility of your conversation and attract more readers.
5. Encourage readers to share their thoughts and opinions on your conversation by including a call to action or a question at the end of your diary entry.
6. Finally, you can also try to participate in the conversation on Hatena diary, by answering the questions, responding to the comments, and engaging with your readers.
It's important to remember that getting many bookmarks on a diary is not easy and it can take time and effort to build an audience. But by following these tips and being consistent with your diary entry, you will increase the chances of attracting more readers and getting more bookmarks.
ぼく：
増 "Well… do you have something you want to tell to Japanese people?"
B "well, I would say something not only to the Japanese, but to many other people. how should I put this?
"Most people began to hate Russians by default. But this war was started by our government, not by us. Of course, we don't want this war, nobody wants it. And I assure you, our people have repeatedly gone to rallies against the government. But always people who participate in such events are sent to prison. Even people on the Internet who express a point of view that the government does not like are jailed for misinformation.
And I will not deny that some Russians have succumbed to the propaganda of our government and are expressing support for this "military operation". But many people in other countries are actually the same. They hypocritically pretend that they are concerned about the fate of Ukraine, although in fact they have only recently learned that this country even exists. In reality, if you ask them "What do they think about the DNR and LNR?", they will have absolutely no idea what are you talking about.
It's good if you sincerely worry about Uraina. But the majority worry about Ukrina and hate Russians only and only because it's a trend that their government has set. In other words, this is the same propaganda.
Well, to summarize, I just wanna say "let's just be friendly to each other." Even if our governments are not friendly to each other, this doesn't mean that we should be the same." "
C*
https://anond.hatelabo.jp/20220429233816
•what do you think about zelenskii
•do you know other politicians except him
•how future is you predict, how future is you want (i mean politically and concretely)
•What do you think about ukranians language law
•how DNR and LNR people life is?
•did you see people which changed after starting this war
•what do you think that Russian army kidnap ukranians
•what do you think about that Russian language uses «в» for any country but «он» for yours?
•and anything you want to say to Japanese
Aの露訳
①の回答
О своем будущем скажу только одно, что после войны усыноввлю и удочерю детей которые потеряли своих родителей
Aの英訳
About my future, I'll say that after the war I'll adopt children who lost their parents in this bloodshed.
Bの露訳と②の回答
1. Что ты думаешь на счёт Зеленского?
Моё мнение, что Зеленский является лучшим президентом, который не бросил Украину и народ во время войны, как сделал это Янукович. Зеленский, его команда и наш народ делают всё возможное и невозможное для сохранения нашей страны.
2. Знаешь ли ты других политиков кроме Зеленского?
Знаю многих.
3. Какое будущее ты видишь для своей страны?
Хотелось бы чтобы территории Украины вернулись в полном составе, так как это было признано международным правом.
4. Что ты думаешь о законе про украинский язык?
Я поддерживаю этот закон, хотя в нашей стране люди общаются на разных языках, в том числе и на русском, но я ни разу не слышал информации о преследовании или конфликтах на этой почве.
5. Видишь ли ты как люди сменились после начала войны?
Наш народ очень сплотился, каждый старается помочь друг другу, война наложила отпечаток на всех, это бесконечные переживания и боль.
6. Что ты думаешь по поводу того, что российская армия похищает украинцев?
Это является ужасным преступлениям.
7. Что ты думаешь о том, что русские для любой страны говорят "в", но в случае с Украиной говорят "на"?
Я считаю что это очень не красиво по отношению к украинскому государству и людям которые там живут.
8. Что ты хочешь сказать японцам?
Хочу поблагодарить за поддержку нашей страны, пожелать мира, добра и процветания.
9. Что ты хочешь меня спросить?
Почему тебя так детально интересует ситуация в моей стране?
Надеюсь всё правильно понял
•what do you think about zelenskii?
I belive Zelensky is the best president who did not abandon Ukraine and the people during the war, as Yanukovych did. Zelensky, his team and our people are doing everything possible and impossible.
•do you know other politicians except him?
•how future is you predict, how future is you want (i mean politically and concretely)?
I would like the territories of Ukraine to return in full force, because this is what was recognized by international law.
•What do you think about ukranians language law?
I support this law. Despite the fact that in our country people communicate in different languages, including Russian, I have never heard information about persecution or conflicts on this basis.
•how DNR and LNR people life is?
skipped
•did you see people which changed after starting this war?
Our people are very united, everyone is trying to help each other, the war left its mark on everyone in the form of endless experiences and pain.
•what do you think that Russian army kidnap ukranians?
•what do you think about that Russian language uses "в" for any country but "на" for yours?
I think this is very discourteous in relation to the Ukrainian state and the people who live there.
•and anything you want to say to Japanese?
I want to thank you for the support of our country. I wish you peace, kindness and prosperity.
D*
増 "Ah, turkestan ban Russian language?"
D "Not really "ban" but "limitation". This sounds more suitable in this case. it is the natural phenomenon for the mononational states. And multinational, actually. Using the one language as official. To strengthen the statehood. Same thing with Ukraine. More separation from the "big brother". That is the point, I guess.
By the way, they strengthened much more after these 8 years. I think it is too late to start an invasion now than these 8 years ago back then in any case. That does not mean that I support it, of course. You knew my point. We talked about it earlier. 🙂 I think that it is just "balls to the wall" (like the title from the one of Accept's albums). Recklessly in a word. It is naive to believe that they have stagnated all this time and have not developed or strengthened.
A*
1) Another Ukranian president that just had "the luck" to get the war. Looks funny and trustworthy. Though he sometimes lacks the experience.
2) Yes I do.
3) I predict OK future for Ukraine, bad future for Russia. Russia lost any trust and contacts that it made for over 30 years. Dark decades ahead. I want good future, with no wars and with everyone helping each other.
4) Ukrainian language law? Well, it's their country. Let them speak what they want to speak. Besides, most Ukrainians speak Russian, and they even have mostly Russian cities, like Khar'kiv. I saw no oppression of Russian.
5) DNR and LNR are basically buffer states for Russia like North Korea with the same amount of freedom. It's hell on earth.
6) Had no information about that, but I had info about killing civilians and looting their homes. It's horrible. Those soldiers are monsters and they do not represent Russia. I don't count themselves as my fellow Russians. They're monsters. Barbarians. Putin's orcs. Not Russians.
7) I say let us use whatever we want. I use "на Украину" simply because I spoke it like that over 20 years and it's the correct one.
8) I love Japan and its people. I wish we could achieve peace and could work together. Please don't think bad of Russian people, we don't support this war. We're the same victims, like Ukrainians. Victims of Putin and his police state.
何かソースを出せという人が多かったから出す。あと本旨があまり理解されてないっぽいのでそれも再確認する。
前の文の下に繋げようとしたらできなかった(長すぎたのかな？)ので、トラバの方にぶら下げることにする。
フィンランドの鉄道については、元増田が引用したソースの下の方で
"Most stations are accessible." (ほとんどの駅はアクセシブルです)と書いてある通り。
accessibleとは直訳すれば"アクセスできる"という意味で、バリアフリーの文脈では障害等に関わらず利用可能な状態であることを指す。
ノルウェーの鉄道の場合、ありがたいことにノルウェー国鉄の全駅の情報が見れる。→https://www.banenor.no/en/startpage1/Search-for-stations/
ここにリストアップされている全336駅中、"Wheelchair access to platform"が無いのは34駅(有っても不完全な駅も含む。完全に無い駅に限ると23駅)。
Vakås駅のページにはアクセスできなかったので、23～34/335＝約7～10%の駅が車椅子利用者にとって"not accessible"と言える。
これはド田舎まで含めたノルウェー全土の数値なので、ほとんどの駅でアクセシブルと言ってもいいだろう。「90%程度では"ほとんど"なんて言えない」と言う人は、まあ私と感覚が合わなかったということで一つ。
スウェーデンのほぼ全ての駅に関する情報はhttps://www.dinstation.comで提供されている。
掲載されている124駅のうち、アクセシビリティの情報が書いてあるのは97駅、そのうち車椅子でアクセスできないエントランスがあるのは12駅。
約12%の駅(情報なしは除外して12/97)が車椅子ユーザーにとって"not accessible"である。ただし仮に情報が無い駅を全部"not accessible"とカウントした場合、それは約31%(＝"accessible"な駅は69%だけ)になるため"ほとんどの駅でaccessible"という私の見解が揺らぐことを、公平のために記しておく。
地下鉄はエレベーター完備。列車の乗降口はプラットフォームと無段差。追加の支援が必要な場合は列車やプラットフォームにある呼び出しボタンが使える。→https://dinoffentligetransport.dk/en/customer-service/rules-and-guidelines/disability-access-conditions/
Lokaltog(地方鉄道の総括，123駅)についてはhttps://www.lokaltog.dk/kunde/handicaphjaelp/に書いてある。これは追記前にも言及済み。
曰く"Du kan som kørestolsbruger, spontant rejse med toget på alle Lokaltogs strækninger uden at aftale nærmere med Lokaltog på forhånd. På de stationer, hvor tog og perron ikke er i niveau, vil togets lokomotivfører lægge en rampe ud./車椅子利用者は、すべてのLokaltogで自由に事前連絡なしで旅行出来ます。もしプラットフォームと電車の乗降口に段差がある場合、車掌がスロープを設置します。"
ただし、Østbanen(デンマークの地方鉄道)のLille Syd線ではGadstrup、Havdrup、Lille Skensved、Ølbyの4駅についてはlevel-freeではないため、ここを利用したいなら事前(利用12時間前)にハンディキャップサービスに連絡が必要。そうした場合、最寄りのlevel-freeな駅まで送ってもらえる。
DSB(デンマーク国鉄)の駅に関する情報はhttps://www.dsb.dk/kundeservice/stationer/でみられる。
ここではアクセシビリティとして階段とエレベーターの有無が見られる。
リストされている317駅で"階段はあるがエレベーターが無い"駅は30である。またどちらもある駅が129、どちらもない駅(＝平屋建て)が156。
ノルウェーと同様、9割以上の駅が"accessible"である。
「どちらもない駅がバリアフリーとは限らないじゃないか。階段がないだけで段差だらけかもしれないだろう」という意見もあるかもしれない。
このリストにはLokaltogの利用駅も含まれており、それらがlevel-freeと見做されている以上、他の駅もそうだろうと考えるのが自然と私は考えた。
ただGadstrup、Havdrup、Lille Skensvedの3駅はLokaltogのサイトで言ってる通り階段ありエレベーター無しだが、Ølbyは両方あることになってる。同名の別駅か、最近改修されたのか、情報が間違っているのか。
氏の紹介した例は要予約のサービスであり、別に予約しなくとも駅は使える。
車椅子ユーザーにとって"not accessible"でありかつその支援サービスが提供されている駅でのみ発生する事態なのだが、"not accessible"な駅自体が少ないことはこの追記で述べた通り。
なお駅が"not accessible"で支援サービスもない場合は諦めよう。駅員さんが賃金外労働で助けてくれたりはしないぞ。
これには特にソースを出さずに言ったため、疑問に思った人が多かったようだ。なので追記で根拠とソースを出した。私としてはこれで十分と思うが如何に。
(1)と若干被ってるか。事前連絡が必要なケースは北欧の方が日本より少ないのは確かだが、無いわけじゃない。(あと必須じゃないがした方が得なので自発的に連絡する人は多い。)
なので"伊是名女史のケースは北欧でも事前連絡が必要なケースに該当するかもしれない。"と書いた通り、「北欧なら伊是名女史は連絡なしで乗れたのに！日本は遅れてる！」という意見があるとすればあまり正しくない。
仮に伊是名女史がノルウェーのVieren駅(https://www.banenor.no/en/Railway/Search-for-stations/-V-/Vieren/)に行っても列車に乗るのは不可能だっただろう。この駅なら事前連絡しても無理だろうけど。
北欧ではどうやってエレベーターとかきっちりつけてんの？金もつん？という疑問が見受けられた。その疑問に一部答えよう。
バリアフリー化が法律で義務付けられてて、駅や列車の新築/新造や改修時に基準に沿ってないと許可が下りない。
福祉国家故か高い税金分ジャブジャブ注ぎ込む。スウェーデンなんかは何年か前に250億くらい突っ込んでた気がする。
あと平屋建てが多い。エレベーターとかなくともちょっとスロープ付けるだけでなんとかなる。
ぶっちゃけるとド田舎ではプラットフォームが線路の脇を舗装/草刈りしただけとかもままあるため、特になんもしなくても車椅子で行けたり、手作りや既製品のスロープがポンと置いてあるだけなんてことも多い。
一方でそういう駅ではプラットホームと列車の間の段差はそのままだったりする。
元増田の紹介したサービスで"乗降車の補助"が多いのはそういう背景による。
zbata z端？
net_penis ネットペニス
yealum
cwisp
xaither
Ero エロ
uniquen ユニークn
tigercrow 虎カラス
snowte スノーte
Risk リスク
HIMOTE_no_MATSURO 非モテの末路
quenm キューnm
opena オープンa
neuronium ニューロニウム
loun
miouoim 逆から読んでもmiouoim
afi_click アフィクリック
zeiter
Yon_yoN ヨンヨン
crybird クライバード
xidse
Den2_appi_JiminTo デン2_appi_自民党
elisem
vockeneath
flyinglonery フライングlonery(lonelyじゃなくて？)
unkojisan ウンコ爺さん
tmissy
Swiften スイフトen
inmkn114514 淫夢くんいいよ来いよ
roley 役割y
JiminTou_NetSupporters 自民党ネットサポーターズ
Qurusimimas 苦しみます
KoDoKu_Si 孤独死
LostFantasia ロストファンタジア
noyel
mentalost メンタロスト
arule aルール？
zweiR ツヴァイR？
bicmb
Kimo_0ta キモオタ
cool_down クールダウン
meinow
yoshe
moych
XuiM
dishers ディッシャーズ
EDDO エッド
これらをちょっと分類してみたよ。
大文字小文字混じりでアンダーバーで区切ってるIDから特にある層への憎しみが見えてくるよね。
これらのIDはフェミやリベラル側の味方として現れることが多いらしいから、もしこれらを1人で動かしてるとしたらその正体は、単純に考えればネトウヨ男性にひどく傷つけられて男性に憎しみを抱いた女性か？ 攻撃は常に弱い方に向かうので、強者男性を憎むことができずその矛先を弱者男性に向けて鬱憤を晴らす。
あるいはもう1つの可能性が考えられる。攻撃は自分がやられると痛いところを突きがちだから、攻撃とは弱点を晒すことにもなりうる。この人は自分が弱者男性であることを気にしてて、そんな自分が嫌いな男性なのかもしれない。弱者男性を叩く側に回って鬱憤を晴らし(自分が弱者男性なのだから弱点はよく知ってるよね)、ついでにフェミとは弱者男性を攻撃する差別者であると見せかける。男女の分断が深まれば、たとえそれが悪影響でも何者にもなれなかった自分が世の中に何か爪痕を残したことになる。
つまりこの人はアスペで、ネットのペニス野郎で、ミソジニーのニートで、非モテで、陰キャ非モテ(2回目)で、高齢童貞で、アフィ嫌いのケンモメンで、自民党支持者で、ウンコ爺さんで、GoToに税金をつぎ込むことに賛成(GoToがはてなではほぼ全否定されることに反感を持つ)で、淫夢大好き侍で、自民党支持者(2回目)で、苦しんでて、孤独死の未来が見えてて、キモオタであるといえる、かもしれない。
net_penis ネットペニス
HIMOTE_no_MATSURO 非モテの末路
afi_click アフィクリック
Den2_appi_JiminTo デン2_appi_自民党
unkojisan ウンコ爺さん
inmkn114514 淫夢くんいいよ来いよ
JiminTou_NetSupporters 自民党ネットサポーターズ
Qurusimimas 苦しみます
KoDoKu_Si 孤独死
Kimo_0ta キモオタ
Ero エロ
Risk リスク
tigercrow 虎カラス
crybird クライバード
LostFantasia ロストファンタジア
cool_down クールダウン
uniquen ユニークn
snowte スノーte
quenm キューnm
opena オープンa
neuronium ニューロニウム
Swiften スイフトen
roley 役割y
mentalost メンタロスト
arule aルール？
zweiR ツヴァイR？
dishers ディッシャーズ
それにもかかわらず、メールでコメントを書いていない日の☆レポートがとんでくる。
つまり、存在しないブックマークに対して、☆をつけた通知を飛ばしている。リンクをクリックすると何もブックマークしていない日毎のブックマーク一覧ページにとぶ。
たまにブコメをかいて、更にたまにスターがつくような私のようなユーザーにとっては非常にうっとおしく、困っている。何にスターがついたのだろう→スパムでしたとなり、非常にがっかりする。アプリでも同様の体験をしている。
山口瞳のエッセイが出典ではね。新渡戸稲造は『武士道』でこう書いている。
I have noticed a rather superficial notion prevailing among half-informed foreigners, that because the common Japanese expression for one's wife is "my rustic wife" and the like, she is despised and held in little esteem. When it is told that such phrases as "my foolish father," "my swinish son," "my awkward self," etc., are in current use, is not the answer clear enough?
To me it seems that our idea of marital union goes in some ways further than the so-called Christian. "Man and woman shall be one flesh." The individualism of the Anglo-Saxon cannot let go of the idea that husband and wife are two persons;—hence when they disagree, their separate rights are recognized, and when they agree, they exhaust their vocabulary in all sorts of silly pet-names and—nonsensical blandishments. It sounds highly irrational to our ears, when a husband or wife speaks to a third party of his other half—better or worse—as being lovely, bright, kind, and what not. Is it good taste to speak of one's self as "my bright self," "my lovely disposition," and so forth? We think praising one's own wife or one's own husband is praising a part of one's own self, and self-praise is regarded, to say the least, as bad taste among us,—and I hope, among Christian nations too! I have diverged at some length because the polite debasement of one's consort was a usage most in vogue among the samurai.
http://www.gutenberg.org/files/12096/12096-h/12096-h.htm
これは有名な一節である。「武士や多くの日本人は、自慢や傲慢を嫌い忠義を信条としたことに触れ、家族や身内のことでさえも愚妻や愚弟と呼ぶが、これらは自分自身と同一の存在として相手に対する謙譲の心の現れであって、この機微は外国人には理解できないものであろう」といった意味。
なお『武士道』の初版は1899年。「戦後あたりから間違った意味で使われるようになった」というおまえの説と矛盾する。新渡戸稲造によるとWe think praising one's own wife or one's own husband is praising a part of one's own self（おのれの妻や夫を褒めるのはおのれ自身の一部を褒めることだと、我々は考える）というのだ。だからmy rustic wife（愚妻）のような表現を使うのだ、と新渡戸は言っている。したがって─
高島俊男さんの「お言葉ですが…２」では、「愚」はわたしの意味だと説明した上で、実はこのような一人称二人称という発想は西洋人の発想だとことわり、日本人の発想は、「こちら側」と「あちら側」に分けるのだという。
http://takusen2.seesaa.net/category/1656458-1.html
これも「こちら側」にいる私と妻をまとめて「愚」と呼んでいる、と読むのが正確だろう。
もっとも、高島説でも新渡戸説でも「どうして自分の師匠を『愚師』とは呼ばないのか」という問題は説明がつかない。門弟から見れば師匠は「こちら側」だ。
