Mecredi 30 juillet 2025
禮貌又不是一種義務，是看人給的，是互相的，對不對?
華人世界總是教導對人要有禮貌，做人要講道理；從來沒有教，如果有人對妳不禮貌，不尊重，沒規矩又不講道理的時候，要怎麼面對這種情境?這種人?怎麼處理?
大概率是忍耐，忍讓，忍氣吞聲，退一步海闊天空，等等等等的所謂美德，又因為驟然面對這種從來沒有人教導如何面對如何正確處理的情境大概率氣急敗壞，手足所措，莫名所以，無法理解，怎麼有人會這麼沒禮貌怎麼這樣有這種行為?爸媽沒教嗎?
但不管如何，自己權益被侵犯這虧已經發生是吃定了的。怎麼?吃悶虧嗎?
誠實說，我以前真的就是一直吃悶虧，還因為很好的家教要維持教養沒能耐發作，看著週遭惡劣的人沒底線的對我下劣精勤。甚至，還沒察覺意識這些人的行為就是妥妥在占我便宜。
然後，虧吃多了，就三折肱成良醫。
今天早上在茶水間，我走向垃圾桶前面預備回收果皮，就差一步就可以走到垃圾桶前，一個女生"咻"的一聲陡然竄到我前面，擋住我的去向，伸手拉開緊貼著回收桶的蒸便當鐵櫃的門，然後蹲下去拿便當，那門一拉開就蒸騰出一股熱氣，那門就擋住半個回收桶；要按以往，我大概就會後退半步讓這個女生方便她拿取便當，然後不管真的假的就要忍耐，然後發揮超常耐心等這個女生完成她的動作，不管她要蹲多久?亦即，她要完成先拿她的便當然後趕快吃便當的需求，以往我之所以會後退，一是因為蒸騰的熱氣直接衝出來，二是因為這個女生龐大的身軀蹲下來整個佔據了樓地板面積，靠我太近了，我不喜歡和人貼這麼近，這讓我很嫌惡，三是因為如果我不退不讓執意打開回收桶丟果皮，廚餘的味道一般是不太好聞的，而這個人會靠近蹲下來拿取便當必定是要拿她的午餐她的食物，這要沾染到回收桶廚餘的味道總是不太好；我，用著我的思維想著，然後我想，我以前是不是太為人著想了?太貼心了?太暖女了?想太多了?
這回，我換另一種思考方式，另一種思維，我想著，她都不為別人也不為自己著想，那就要自負其責，別人是沒必要沒有義務為她的言行負責的，我走在先，她要搶先，要擋路，可以，但，不能影響我，所以，我就無視她的存在，在她蹲著的龐大的身形旁邊，慢悠悠踏開貼身貼著她，與她蹲著的身量幾乎等高的廚餘桶等廚餘門打開，然後從容優雅不緊不慢把我的香蕉皮丟進去，從她太靠近我的擁擠中轉過身無視其他人離開這個茶水間。
沒有罪疚感。
P.S.這裡面有一個弔詭的地方，之前這種會讓人拉扯很難決斷之處都是在於發生在一些小舉動，小事，處理不好，會讓人覺得妳是不是太愛計較？太愛小題大作？心胸狹窄？沒有容人之量？而，恰恰也正是這種狀況給人給對方一種還挺理直氣壯腰桿挺直的強詞奪理的縫隙，這也沒什麼啊？我只不過是怎麼怎麼而已，又沒有對妳怎樣，啊是傷了妳還是？都沒有啊！等等等等，說不定有人還會緊跟著賞妳一個白眼，也說不定。
綜上，在我一邊輸入，一個模糊的概念一邊逐漸慢慢清晰了起來，結論，這就是一種上不了檯面佔別人小便宜的行為，以前，我可能不計較，現在，我計較了，帶著妳你們那種骯髒齷齪的小心思滾遠一點吧！
See ，看到重點了嗎？這個重點在於太多人端著顧慮著自己的君子淑女的形象人設，在意著別人的眼光，如何對他們評價，然後，就行為僵固不知變通被人裹挾綁架，而我，不了，現在，大概率是別人要提防我被我裹挾綁架吧！所以，就，大家還是離我遠點吧！
一邊答題一邊可以從考題出題走向感覺學校對這學科的宗旨訴求，這是一路看題目答題後的體會。
法律班，但真正涉及法律的題目只有開頭的第一大題，底下大約四-五個小題；後頭的題目有公共政策的，有詩詞歌賦格律的，有散文的，甚至還有語文的，大約像是高中畢業後考大專聯考的感覺，所以應該就是一個學院的入學考，順帶一提，已經從進修部升格學院，所以考上相當是大專聯考被錄取。
這第一大題的法律題提到的是有關健保健檢的個資問題，很是有感，因為個人即曾以個資問題拒絕提供個人的健檢資料給機關，應該也是唯一的一個，覺得這有違個資法的嫌疑；其餘的題目有涉及策論，散文，範圍很廣，包括感覺像在考國文系的題目，詢問格律，用語，很是有感，因為這些用語讓我想到平日辛辛勤勤筆耕部落格的場景，題目竟然直接詢問替代用語，而這些用語是我在描述花蓮海邊對大海波浪的敘述，波光粼粼，波光熠熠，…還有一題直接考李商隱的一首詩，只要能背那首詩，就可以知道空格裡面是甚麼字，就可以拿分。
考前，趁搭乘計程車的時間，坐在計程車座位上，我趕忙上網搜尋攻略，發現錄取率大約40%，這可不行，我趕快繼續往下掃，抓到重點就是大約考四十題，每題2.5分，前面的題目比較長，後面的題目比較短，後面的答題時間因此可能比較短，建議的策略是從後面往前填答。
另外，用B2鉛筆畫格子。
我一邊看策論，一邊看公共政策題時，心裡想著，這相當於英檢中高級的題目，而不同之處在於英檢中高級用的是英文，論述的同樣是政策，考英檢中高級時要看英文，現在是看中文，母語，我告訴自己，現在是在看自己的母語…
Carnegie Mellon University has a well-earned
reputation as one of the nation’s top schools for computer science. Its
graduates go on to work at big tech companies, startups and research labs
worldwide.
Still, for all its past success, the
department’s faculty is planning a retreat this summer to rethink what the school
should be teaching to adapt to the rapid advancement of generative artificial
intelligence.
The technology has “really shaken computer
science education,” said Thomas Cortina, a professor and an associate dean of
the university’s undergraduate programs.
Computer science, more than any other field
of study, is being challenged by generative AI.
The AI technology behind chatbots such as
ChatGPT, which can write essays and answer questions with humanlike fluency, is
making inroads across academia. But AI is coming fastest and most forcefully to
computer science, which emphasizes writing code, the language of computers.
Big tech companies and startups have
introduced AI assistants that can generate code and are rapidly becoming more
capable. And in January, Mark Zuckerberg, Meta’s CEO, predicted that AI
technology would effectively match the performance of a midlevel software engineer
sometime this year.
Computer science programs at universities
across the country are now scrambling to understand the implications of the
technological transformation, grappling with what to keep teaching in the AI
era. Ideas range from less emphasis on mastering programming languages to
focusing on hybrid courses designed to inject computing into every profession,
as educators ponder what the tech jobs of the future will look like in an AI
economy.
Heightening the sense of urgency is a tech
job market that has tightened in recent years. Computer science graduates are
finding that job offers, once plentiful, are often scarce. Tech companies are
relying more on AI for some aspects of coding, eliminating some entry-level
work.
The National Science Foundation is funding a program, Level Up AI, to bring together university and community college educators and researchers to move toward a shared vision of the essentials of AI education. The 18-month project, run by the Computing Research Association, a research and education nonprofit, in partnership with New Mexico State University, is organizing conferences and round tables and producing white papers to share resources and best practices. (Steve Lohr)
The nation’s largest mortgage finance firms will begin accepting crypto as an asset on a mortgage application, another significant step by the Trump administration to bring digital currencies into mainstream finance.
This week, President Donald Trump’s housing
director, William Pulte, said he would direct Fannie Mae and Freddie Mac—the
nation’s big mortgage finance firms—to consider homebuyers’ crypto investments
as part of their overall wealth in assessing whether they afford a mortgage.
Traditionally, a homebuyer’s cash savings and stock investments are what mortgage
lenders consider.
Fannie and Freddie, which are a critical cog in the housing market, buy mortgages from
banks and established a set of criteria for which borrowers’ mortgages they
will accept.
The announcement by Pulte, director of the
Federal Housing Finance Agency, on Wednesday comes as an increasing number of
Americans have been using digital currencies to buy houses and new companies
have formed to help them take advantage of their crypto holdings to buy real
estate.
The crypto market and its many supporters
have been pushing regulators in this direction for several years, raising
concerns among consumer advocates that this lightly regulated and highly volatile investment asset is being tied to
something as vital to the economy as the housing market.
In a recent survey, roughly 14% of homebuyers
said they planned to sell crypto assets to help get the cash to cover a down
payment on a home, up from 5% in 2019, according to Redfin, the residential
real estate brokerage company.
Several startups are already pitching
crypto as a way to cut through the market’s current morass
and jump-start home sales. One firm, Milo, offers investors a way to use
bitcoin as collateral for getting a home
mortgage.
The interest tends to be a few percentage
points higher than a normal mortgage, but the customer gets the benefit of not
having to sell any crypto or pay capital gains. When the mortgage is paid off,
Milo returns the bitcoin to the investor.
Other firms are helping homeowners’ tap their home’s equity to buy crypto. The strategy
is similar to so-called home equity investment contracts, which provide lump-sum cash payments to a homeowner in return
for the right to share in the appreciation
in a home’s value.
(Matthew Goldstein)
做到天涯若比鄰。
超級寶寶越發展現超級的特質。
女兒介紹英吉拉，果然，天下之大，無奇不有啊！藉著女兒一家拓展了一批井蛙的眼界。
衣索比亞住處寬廣，相比起臺北的所有一切都是逼仄狹小，捲捲到東非像飛出籠子的小鳥，可以到處摸爬滾走可快樂了。
還就會自己開始摸索著爬下樓梯，看著用手腳測度樓梯長寬再決定行動策略，真是令人驚奇。
Jeudi 24 juillet 2025
很有趣的一篇文章。
https://udn.com/news/story/123296/7926665
