投稿時間:2023-03-19 23:13:38 RSSフィード2023-03-19 23:00 分まとめ(14件)

カテゴリー等	サイト名等	記事タイトル・トレンドワード等	リンクURL	頻出ワード・要約等/検索ボリューム	登録日
python	Pythonタグが付けられた新着投稿 - Qiita	指定した期間(開始日から終了日まで)、指定した国の祝日のリストをCSVファイル形式で出力	https://qiita.com/aisaki180507/items/a29f93db455fe40f897d	pipinstall	2023-03-19 22:38:03
python	Pythonタグが付けられた新着投稿 - Qiita	データの傾きを求めたい ==> scipy.interpolate.Rbf を利用した適当な微分	https://qiita.com/Nodaka/items/922d391daef187448a35	gtscipyinterpolaterbf	2023-03-19 22:10:08
AWS	AWSタグが付けられた新着投稿 - Qiita	Amazon Kendra を触ってみた	https://qiita.com/sugimount-a/items/50370d5781b634bb8d3b	amazonkendra	2023-03-19 22:54:10
Docker	dockerタグが付けられた新着投稿 - Qiita	Azure Container Apps (ACA) に GraalVM ネイティブイメージ Spring Boot カスタムコンテナイメージをデプロイする (Docker Hub)	https://qiita.com/fsdg-adachi_h/items/98074a014ad75291a6d8	azurecontainerappsaca	2023-03-19 22:47:11
golang	Goタグが付けられた新着投稿 - Qiita	【Golang】Kyber アルゴリズムで公開鍵暗号（PKE）	https://qiita.com/KEINOS/items/1e31b09d72c8ce349499	quantumcryptographysele	2023-03-19 22:34:12
golang	Goタグが付けられた新着投稿 - Qiita	Go言語のGenericsについて	https://qiita.com/ss2421/items/bc884e22ae113283256b	generics	2023-03-19 22:09:29
Azure	Azureタグが付けられた新着投稿 - Qiita	Azure Container Apps (ACA) に GraalVM ネイティブイメージ Spring Boot カスタムコンテナイメージをデプロイする (Docker Hub)	https://qiita.com/fsdg-adachi_h/items/98074a014ad75291a6d8	azurecontainerappsaca	2023-03-19 22:47:11
Git	Gitタグが付けられた新着投稿 - Qiita	git reflog がすごい	https://qiita.com/bebeken/items/de4a01a27bb4dac5ffc3	gitrever	2023-03-19 22:03:04
海外TECH	Ars Technica	North Sea cod are getting smaller—can we reverse that?	https://arstechnica.com/?p=1925061	planning	2023-03-19 13:00:43
海外TECH	DEV Community	Thoughts on the current state of AI	https://dev.to/syeo66/thoughts-on-the-current-state-of-ai-322f	Thoughts on the current state of AIHere we are AI is the big thing everyone was expecting for years now It s not a new idea More than half a century ago science fiction writers were already talking about it But now it is here What will we do with it Where will it lead to What happens to our society To be honest Nobody knows what the future will be like years ago I was overly optimistic about autonomous cars I predicted that within years every new car will be self driving Well year in and it still seems to be coming within years probably not But what do I think about LLMs like GPT or ChatGPT or things like DALL E and Midjourney I ll try to take you on a journey through my thoughts The optimistic view Chances in healthcareAdvancements in technology have the potential to revolutionize healthcare in a number of ways from more efficient diagnosis and treatment to better access to care for underserved populations Telemedicine and digital health platforms are becoming increasingly popular allowing patients to receive remote consultations and access to medical information and resources I think most importantly AI and machine learning can also help healthcare professionals make more accurate diagnoses and develop personalized treatment plans for patients No medical doctor on this world is able to keep up with all the new developments and papers Especially when it comes to rare diseases it will be helpful to be able to feed an AI with symptoms and other data and retrieve pointers to things the doctor might not even have heard of Those developments will increase the quality of life for many when we manage to make it accessible and affordable for everyone Chances for societyEmerging technologies also offer many benefits for society at large The use of autonomous vehicles could improve road safety reduce traffic congestion and cut down on greenhouse gas emissions Smart cities could help us better manage resources from water and electricity to waste disposal The technologies can help to address social issues such as poverty and inequality by providing new tools and opportunities for education and economic empowerment Increased automation could lead to a redefinition of work Society might finally be able to fulfill the promise of a more purposeful life and not having to rely on job just to be able to survive Chances for the environmentThe new technologies have the potential to help us address some of the biggest environmental challenges we face today Renewable energy technologies such as solar and wind power can help us transition away from fossil fuels and reduce our carbon footprint AI can help us find improved ways of reducing unnecessary transportation make supply chains and distribution of resources more efficient Advanced agricultural technologies such as precision farming can help us reduce waste conserve water and increase food production in a sustainable way The pessimistic view Black box problemOne of the main concerns with AIs is the so called black box problem As machine learning algorithms become more complex and powerful it becomes increasingly difficult for humans to understand how they are making decisions In a neural network you can t just go in take a look at any part of it and extrapolate the finale result from there As far as I see it never before we built something we can t comprehend in such a way If you think about it we build incredible machines but we always knew how each of its parts contributed to the whole This is no longer true in neural networks and other algorithms This lack of transparency can be problematic particularly in areas such as healthcare where decisions can have life or death consequences There is also the risk of algorithmic bias where the algorithms reflect and reinforce existing biases and inequalities in society As a heard a CEO saying once Why should we care about biases in algorithms Humans have biases too This sums up the problem quite well There seems to be a lack of awareness in the field Alignment problemQuite similar to the black box problem is the Alignment problem Since we can t really see into the inner workings of the decision making process of those models we really can t know if the goal of the AI is actually aligned with the goal we think we gave it There are several examples of this Can we be sure a image classifier identifies something because of the thing itself or just because something always happens to be on those images Is a doctor a doctor because she has a stetoscope Or is it the gender Or anything else Social acceptance automatonIf you think about how we train a language model First we train a model which should learn how a human would interact with the model and then we train the actual model with the other model Does the language model really learn to give accurate and correct information or does it learn to please the person interacting with it In other words a langauge model might just learn to tell us what we want to hear How can we make sure the model actually learns to be correct Are there enough experts in every field involved with the training of the models I think this is one of the hardest problem we ll have to address and honestly I m not sure if this can be fixed in any way Knowledge gapThere is also a risk that emerging technologies will widen the gap between the haves and have nots As AI and automation disrupt industries and create new jobs there is a risk that some people will be left behind lacking the skills and education necessary to participate in the new economy This could lead to a world where a small elite holds most of the wealth and power while the rest of society struggles to get by I recently heard someone talk about how AIs will wipe out software development jobs It was suggested a Senior Developer will no longer have to rely on Juniors because he could just assing the tasks to AI codegenerators and then review their code My question woulde be Where would those Seniors come from if there are no more Junior positions How would anyone gain the experience and knowledge to properly assess the generated code Another problem with that might be that the lonely Senior Dev might be stuck with a suboptimal AI system for the tasks to be done It would probably be harder to switch to a different system compared to having a pool of different people Source acknowledgementAIs requires transparency and accountability from those who are developing and deploying the technologies There is often a lack of clarity around who is responsible for ensuring that emerging technologies are used ethically and responsibly particularly in cases where multiple stakeholders are involved The black box problem mentioned earlier does not make this any easier If we are not even able to describe how exactly a system comes to the result how will we be able to acknowledge the sources If the text is basically a string of the most probable words how will we be able to acknowledge the source But being able to assess the sources is important in todays and future world Technological feudalismThere is a concern that new technologies could lead to a new kind of feudalism with a few powerful corporations and individuals controlling vast amounts of wealth and power As data becomes the new oil those who control it will wield immense power over society There is also a risk of monopolies forming in key industries stifling competition and innovation Final thoughtsThe new developments in AI and Machine Learning offer both great promise and significant risks It is up to us to ensure that these technologies are developed and deployed in a way that maximizes their benefits while minimizing their risks This will require careful consideration of the ethical social and environmental implications of emerging technologies as well as a commitment to inclusive and equitable development By working together there is some hopw we can build a better future for all But to be frank I m sceptical Acknowledgment This article was written with the help of but not by ChatGPT	2023-03-19 13:22:14
海外TECH	DEV Community	Yet Another Newsletter LOL: Good Looking Content	https://dev.to/nickytonline/yet-another-newsletter-lol-good-looking-content-1bib	Yet Another Newsletter LOL Good Looking ContentAnother week another newsletter Let s get to it Around the WebSingle page application SPA transitions have landed in Chrome Nice to see the View Transition API implemented Some great tips here from Andy Bell s latest article Some simple ways to make content look good I know I struggle with this I m also the person who takes two days to figure out if a font looks good lol Wes Bos drops a great use case for the has pseudo class Hide sections of content when they are empty What the heck is Rspack Announcing RspackFun StuffThis was hilarious when it happened and it still holds up six years later Declan Cashin tweet dec Happy th anniversary to the greatest moment in the history of the internet AM Mar Words of Wisdom for the WeekDanny s not the first to say this but co sign Danny Thompson dthompsondev If everything is a priority then nothing is a priority PM Mar Shameless PlugsThis past week I had a few things on the go First I gave a talk on end to end testing with Cypress for the The Collab Lab Tech talks Wednesday I got to hang with Andrew Hedges founder at The Collab Lab to discuss why it s so damn hard to break into tech I also wrote a short post Transform Your Portfolio Website with These Expert Tips I know it sounds clickbaity but there are some useful tips in there JobsSenior Engineer Component Testing Cypress Remote USA or local Atlanta GitHub Internship alert I post jobs in the iamdeveloper com community plus all other kinds of content as do others If you re looking for another friendly nook of the internet head over to discord iamdeveloper com If you liked this newsletter you can subscribe or if RSS is your jam you can also subscribe via RSS	2023-03-19 13:22:05
ニュース	BBC News - Home	Ukraine war: Putin pays visit to occupied Mariupol, state media reports	https://www.bbc.co.uk/news/world-europe-65004610?at_medium=RSS&at_campaign=KARANGA	kremlin	2023-03-19 13:17:22
ニュース	BBC News - Home	Georgia Harrison: I was living in fear of more sex footage	https://www.bbc.co.uk/news/uk-64998904?at_medium=RSS&at_campaign=KARANGA	consent	2023-03-19 13:26:12
ニュース	BBC News - Home	SNP leadership: SNP in 'tremendous mess', interim chief says	https://www.bbc.co.uk/news/uk-scotland-scotland-politics-65001543?at_medium=RSS&at_campaign=KARANGA	party	2023-03-19 13:19:01