Shafi Goldwasser

Bonjour à toutes et à tous, et bienvenue dans le podcast de l'IA par l’IA qui vous permet de rester à la page !Aujourd’hui : des cryptographes contournent les filtres d’IA, un outil pour supprimer l’IA de Windows 11, l’UE enquête sur les “Aperçus IA” de Google, débat sur l’échelle et l’AGI à NeurIPS, Sam Altman défend ChatGPT pour la parentalité, et Microsoft investit massivement en Inde, avec la question de l’empreinte énergétique.D’abord, la sécurité des modèles. Des cryptographes montrent que les protections par filtres, situées en amont des grands modèles, restent vulnérables. Les “jailbreaks” évoluent: de simples consignes à ignorer, aux jeux de rôle, jusqu’à la reformulation d’une demande interdite en poème pour tromper les vérifications. L’architecture à deux niveaux, filtre léger puis modèle puissant, crée un écart de puissance exploitable. Shafi Goldwasser rappelle que la cryptographie est clé pour instaurer la confiance, mais l’alignement sur des valeurs humaines, changeantes, est difficile. Exemples parlants: cacher des instructions via un chiffre de substitution que le modèle sait décoder, pas le filtre; ou recourir à des puzzles à verrouillage temporel transformant un texte en nombre aléatoire, qui passe le filtre puis est résolu par le modèle. Tant que le filtre dispose de moins de ressources que le modèle, des failles persistent.On passe à Windows 11. Face aux ajouts d’IA comme Copilot dans la barre des tâches, Recall qui enregistre des actions, ou la génération d’images dans Paint, un script open source, RemoveWindowsAI, propose de retirer ces composants. Hébergé sur GitHub, régulièrement mis à jour, il offre une interface avec cases à cocher et peut aussi s’utiliser en ligne de commande. Il faut lancer PowerShell en administrateur et, avant tout, créer un point de restauration ou une sauvegarde complète, car le script modifie des éléments profonds du système. Il élimine la plupart des fonctions, mais certaines exigent une désactivation manuelle, comme Gaming Copilot ou l’IA de OneDrive. Les mises à jour de Windows pouvant réinstaller des modules, le script ajoute un package bloquant ces retours, sans garantie face à de futures mises à jour. Sur les PC Copilot+, des fonctions exclusives peuvent demander des manipulations supplémentaires.Direction Bruxelles: l’Union européenne enquête sur les “Aperçus IA” de Google, ces résumés générés qui s’affichent dans la recherche et répondent sans renvoyer vers les sites sources. Les éditeurs craignent une baisse de trafic, avec un impact direct sur la publicité et la monétisation. L’enjeu: déterminer si Google abuse d’une position dominante en utilisant des contenus sans compensation adéquate. Selon l’issue, cela pourrait redéfinir les règles de rémunération et d’accès aux données pour l’entraînement et l’affichage par l’IA.Dans la recherche, le débat sur l’échelle bat son plein. L’idée “l’échelle est tout ce dont vous avez besoin” vacille. Malgré des données massives dérivées du comportement humain, les limites persistent: hallucinations, factualité, raisonnement, cas rares, généralisation. À NeurIPS, un tournant s’esquisse; côté terrain, une étude du MIT indique que 95 % des entreprises ne voient pas de retour sur investissement significatif avec l’IA générative, des constats proches chez McKinsey et BCG. Cap proposé: une IA inspirée par la cognition humaine et animale, des modèles du monde et la causalité, à l’image des frères Wright apprenant du contrôle de vol sans copier les oiseaux.Côté usage grand public, Sam Altman, PDG d’OpenAI, a déclaré sur le plateau de Jimmy Fallon ne pas imaginer élever un nouveau-né sans ChatGPT, tout en reconnaissant que l’humanité l’a fait des siècles durant. Il pointe l’adoption mondiale rapide des chatbots et plaide pour une introduction responsable, laissant aux gens le temps de s’adapter et de donner leur avis. Les réactions rappellent que ChatGPT peut paraître sûr de lui en se trompant, selon l’aide en ligne d’OpenAI, et soulèvent l

Daniele is a professor in the Computer Science and Engineering department at the University of California, San Diego and, in 2019, he was elected as a Fellow of the IACR. His main focus is on the foundations of lattice-based cryptography and its advanced applications, including fully homomorphic encryption. Overall, he has published many classic papers that relate to lattice methods, including working with Chris Peikert on "Trapdoors for lattices", and with Oded Regev on the "Worst-case to average-case reductions based on Gaussian methods". Daniele has also contributed greatly to the advancement of bootstrapping methods, including defining the DM/FHEW method - along with Leo Ducas. He published a book on the "Complexity of Lattice Problems - A cryptographic perspective" with Shafi Goldwasser, and his paper on "Generalized Compact Knapsacks, Cyclic Lattices, and Efficient One-Way Functions" was given a FOCS 20 years test of time award in 2022. This paper led to the theoretical foundation of efficient lattice based cryptography. His paper with Regev also received the FOCS ToT award in 2024.

Vinod is a professor of computer science at MIT and a principal investigator in the IT Computer Science and AI Lab. He completed his Bachelor's degree from the Indian Institute of Technology Madras in 2003, and his PhD in 2009 from MIT. His main supervisor was Shafi Goldwasser. Vinod is seen as a world leader in the area of cryptography, especially within fully homomorphic encryption. He has co-authored many classic papers and which are seen as third generation of homomorphic encryption, including on "Trapdoors for hard lattices and new cryptographic constructions", and "Fully homomorphic encryption over integers". In 2022, he was a co-recipient of the Godel (Gurden) Prize. Vinod is also the co-founder and chief cryptographer at Duality Technologies.

What are animals saying? AI may help decode their languages 文章来源： www.nationalgeographic.com 这篇文章讲述了科学家们如何利用人工智能技术来解读动物语言，从而更好地理解动物行为和心理。文章以 Project CETI 为例，介绍了科学家们如何利用人工智能技术来分析鲸鱼的声波信号，并试图破解鲸鱼语言的奥秘。文章还提到了其他科学家利用人工智能技术来分析农场动物的行为，以及如何利用人工智能技术来监测森林生态系统的恢复情况。文章的主题是人工智能在理解动物世界中的应用，以及人工智能如何帮助人类更好地了解自然和动物，从而促进人与自然的和谐共处。文章的结构是先以 Project CETI 为例，然后介绍其他科学家利用人工智能技术来分析动物行为的案例，最后以人工智能在动物保护方面的应用作为结尾，呼吁人类利用人工智能技术来更好地保护自然环境和动物世界。 1. CETI 项目的目标是什么？ CETI 项目（鲸类翻译计划）的目标是理解鲸鱼的交流方式，并最终将其翻译成人类可以理解的语言。该项目希望通过理解鲸鱼的思维方式，激励人们更好地保护这些海洋生物。 2. CETI 项目是如何开始的？ CETI 项目始于七年前哈佛大学拉德克利夫学院的一次偶然相遇。海洋生物学家 David Gruber 正在办公室里聆听抹香鲸的录音，恰巧被路过的计算机科学家 Shafi Goldwasser 听到。Goldwasser 对这些奇特的声音产生了兴趣，并询问 Gruber 这些声音的来源。Gruber 的回答激发了 Goldwasser 的灵感，他认为可以利用机器学习技术来分析鲸鱼的声音，就像科学家们正在利用机器学习技术改进人类语言翻译一样。 3. 科学家们如何利用人工智能来理解鲸鱼的交流？ 科学家们使用人工智能来分析抹香鲸发出的咔嗒声，这些咔嗒声类似于二进制代码，易于人工智能模型进行分析。他们开发了一种机器学习程序，可以识别鲸鱼交流中的熟悉序列，并预测鲸鱼接下来可能发出的声音。此外，他们还将鲸鱼的声音数据转化为一种类似于乐谱的可视化形式，以便更好地观察声音的节奏、音调和装饰等细微差别。 4. 除了鲸鱼，人工智能还能用于研究其他动物吗？ 是的，人工智能正越来越多地被用于理解各种动物的内心世界，包括海洋生物、森林生物，甚至农场动物。例如，加拿大达尔豪斯大学的 Suresh Neethirajan 教授正在利用人工智能来监测农场动物的行为和生理指标，以便更好地了解动物的健康状况和福利需求。 5. 人工智能如何帮助我们监测森林生态系统的恢复情况？ 德国巴伐利亚森林国家公园的 Jörg Müller 教授正在利用人工智能来监测热带雨林的恢复情况。他们使用录音设备收集森林中的声音数据，然后利用人工智能模型来识别不同鸟类的鸣叫声。鸟类是热带生态系统整体健康状况的重要指标，通过监测鸟类种群的恢复情况，科学家们可以评估森林恢复的进展。 6. CETI 项目目前取得了哪些进展？ CETI 项目的研究人员已经使用人工智能识别和分类了数千种不同的鲸鱼叫声，并发现了一些类似于人类语言音素的细微差别。然而，他们尚未完全理解这些叫声的含义。 7. CETI 项目未来的目标是什么？ CETI 项目的未来目标包括理解鲸鱼语言的结构、学习鲸鱼如何将语言从母鲸传递给幼鲸、以及了解鲸鱼群体中的社会结构。 8. 人工智能在理解动物交流方面有哪些潜在的意义？ 人工智能可以帮助我们了解自然世界中我们尚未理解的部分，并可能为我们打开通往新世界的大门。通过更好地理解动物的交流方式，我们可以更好地保护它们，并与它们和谐共处。

Dive into the groundbreaking world of zero-knowledge proofs and the transformative evolution of Polygon 2.0 in our latest article exploring the realm of blockchain innovation and interconnected ecosystems. Discover the historical significance of zero-knowledge proofs, their pivotal role in securing transactions, and the advent of zk-rollups shaping Ethereum's scalability. Learn how Polygon's 2.0 initiative, fueled by ZK-proofs, propels a new era of interconnectedness among layer-2 scaling networks, facilitating cross-chain liquidity and composability. For a quick glimpse into the highlights, find a summary at the beginning of the article, offering a condensed version for those seeking a rapid insight into this fascinating technological landscape. Summary The history of zero-knowledge proofs, originating from the influential work of Goldwasser, Micali, and Rackoff in the 1980s, introduced a groundbreaking concept enabling data authentication without revealing sensitive information. Their foundational paper established the principles of completeness, soundness, and zero-knowledge, setting the stage for practical applications across various sectors. Notably, zero-knowledge proofs found prominence with the emergence of blockchain and cryptocurrencies like Zcash, utilizing zk-SNARKs to ensure anonymous transactions. Ethereum's advancement with zk-EVMs promises enhanced security and confidentiality for smart contract execution, propelling scalability and decentralization. Concurrently, ZK-rollups leverage zk-SNARKs and zk-STARKs to process off-chain transactions while preserving data integrity on Ethereum, offering scalability and reduced fees. This cryptographic innovation not only secures transactions but also fosters privacy in finance, healthcare, and decentralized identity systems. Polygon's evolution into 2.0, integrating ZK-proofs, signifies a unified ecosystem, leveraging zkEVMs and zkWASM to facilitate cross-chain liquidity and composability, marking a transformative phase towards interconnected, scalable blockchain networks. Thanks for reading Crypto Njal’s Substack! Subscribe for free to receive new posts and support my work. A Brief History of Zero Knowledge The seminal work by Shafi Goldwasser, Silvio Micali, and Charles Rackoff in the realm of cryptography introduced a groundbreaking concept that revolutionized the way we perceive and handle sensitive information. In their pivotal paper published in the 1980s, these visionaries laid the foundation for what we now know as zero-knowledge proofs. Their work elucidated the possibility of proving the validity of a statement or the possession of certain information without revealing the actual information itself. This paradigm shift marked a crucial moment in cryptographic evolution, providing a means to authenticate data while preserving the confidentiality of the underlying information. The introduction of three fundamental properties—completeness, soundness, and zero-knowledge—formed the bedrock of zero-knowledge protocols. Completeness ensures that a valid statement can be proven true, soundness guarantees that false statements cannot be proven as true, and zero-knowledge mandates that no extra information beyond the validity of the statement is revealed during the proof. This pioneering work didn’t just establish a theoretical concept; it opened doors to a myriad of practical applications across various domains. Zero-knowledge proofs now serve as a linchpin in ensuring secure transactions, enhancing privacy in digital interactions, fortifying authentication mechanisms, and contributing significantly to the advancement of blockchain technology. The visionary contributions of Goldwasser, Micali, and Rackoff set the stage for a new era in cryptography, where security and confidentiality could coexist without compromising the validity and authenticity of data. As the years progressed, the theoretical concept of zero-

Today’s guest on Cross Validated is Hui Wang, who is the VP of Data Science and Machine Learning at PayPal. She spent nearly 20 years at PayPal and prior to that got a PhD in Statistics. On this episode, Hui joins Pauline to discuss the mature use case of fraud detection within PayPal, generative AI opportunity to transform consumer experience and customer service, building AI responsibly including ensuring accurate data at scale, and the importance for AI solutions to scale simultaneously across the technology, compute, and use case discovery. References: Professor Shafi Goldwasser: https://people.csail.mit.edu/shafi/ Professor Michael Jordan: https://www2.eecs.berkeley.edu/Faculty/Homepages/jordan.html Subscribe for new podcasts and email feedback to crossvalidated.py@gmail.com. Follow on Twitter: @paulinebhyang

And, so, if you could pick one or two people who have contributed most to our online security, who would it be? Ron Rivest? Shafi Goldwasser? Ralph Merkle? Marty Hellman? Whitfield Diffie? Neal Koblitz? Well, in terms of the number of data bytes protected, that prize is likely to go to Joan Daemen and Vincent Rijmen, and who created the Rijndael method that became standardized by NIST as AES (Advanced Encryption Standard). If you are interested, Rijndael ("rain-doll") comes from the names of its creators: Rijmen and Daemen (but don't ask me about the rogue "l" at the end). And, so, Joan Daemen was awarded the Levchin Prize at the Real World Symposium conference in 2016: Now, his co-researcher, Vincent Rijmen — a Professor at KU Leuven — has been awarded the Levchin Prize at the Real-World Crypto Symposium [ here ]: This follows illustrious past winners, including Paul Kocher (for work on SSL and side-channels), Dan Coppersmith (on cryptoanalysis), Neal Koblitz and Victor Miller (for their co-invention of ECC) and Ralph Merkle (for work on digital signatures and hashing trees). Vincent's track record in high-quality research work is exceptional and especially in the creation of the Rijndael approach to symmetric key encryption [ here ]: Before AES, we had many symmetric key encryption methods, including DES, 3DES, TwoFish, BlowFish, RC4, and CAST. But AES came along and replaced these. Overall, ChaCha20 is the only real alternative to AES, and where it is used in virtually every web connection that we have and is by far the most popular method in encrypting data. And, it has stood the test of time — with no known significant vulnerabilities in the method itself. Whilst we might use weak keys and have poor implementations, Rijndael has stood up well. AES method With AES, we use symmetric key encryption, and where Bob and Alice share the same secret key: In 2000/2001, NIST ran a competition on the next-generation symmetric key method, and Rijndael won. But in second place was Serpent, which was created by Ross Anderson, Eli Biham, and Lars Knudsen. Let's have a look at the competition and then outline an implementation of Serpent in Go lang. In the end, it was the speed of Rijndael that won over the enhanced security of Serpent. If NIST had seen security as more important, we might now be using Serpent than Rijndael for AES. <p id="100e" class= "pw-post-body-paragraph my mz gl na b hj nb nc nd hm ne nf ng nh ni nj

Related page: https://medium.com/asecuritysite-when-bob-met-alice/clocks-latex-byzantine-generals-and-post-quantum-crypto-meet-the-amazing-leslie-b-lamport-b2ade4b590d7 Demo: https://asecuritysite.com/hashsig/lamport Introduction I write this article in Medium and with its limited text editor, but I really would love to write it in LaTeX. Before the monopoly of Microsoft Word, there were document mark-up systems such as Lotus Manuscript, and where we had a basic editor to produce publishing-ready content. The GUI came along, and all the back-end stuff was pushed away from the user. For many, this is fine, but for those whose output is focused on sharing and dissemination of research, it is often the only way to work. In research, LaTeX is King and is a fully formed method of laying out — and sharing — research outputs. In the past few years, we have published over 100 research papers, and not one of them has been created in Microsoft Word. And for this, I thank Leslie Lamport. In fact, ask our kids about Newton, Faraday or Einstein, and they could probably tell you something about them. But ask them about Whitfield Diffie, Shafi Goldwasser, or Leslie B Lamport, and they would probably look quizzical? Their future world, though, is probably going to be built around some of the amazing minds that built the most amazing structure ever created … The Internet. To Leslie Lamport So, I am so privileged to be an academic researcher. For me, teaching, innovation and research go hand-in-hand, and where the things I research into gives me ideas for innovation, and which I can then integrate these things into my teaching. The continual probing of questions from students also pushes me to think differently about things, and so the cycle goes on. But, we are all just building on the shoulders of true giants, and there are few larger giants than Leslie Lamport — the creator of LaTeX. For me, every time I open up a LaTeX document, I think of the work he did on creating LaTeX, and which makes my research work so much more productive. If I was still stuck with Microsoft Office for research, I would spend half of my time in that horrible equation editor, or in trying to integrate the references into the required format, or in formatting Header 1 and Header 2 to have a six-point spacing underneath. So, for me, the contest between LaTeX and Microsoft Word is a knock-out in the first round. And one of the great things about Leslie is that his work is strongly academic — and which provides foundations for others to build on. For this, he did a great deal on the ordering of task synchronisation, in state theory, cryptography signatures, and fault tolerance. LaTeX I really can say enough about how much LaTeX — created in 1984 — helps my work. I am writing a few books just now, and it allows me to lay out the books in the way that I want to deliver the content. There's no need for a further mark-up, as I work on the output that the reader will see. But the true genius of LaTeX is the way that teams can work on a paper, and where there can be async to GitHub and where version control is then embedded. Overall we use Overleaf, but we're not tie-in to that, and can move to any editor we want. But the process is just so much better than Microsoft Word, especially when creating a thesis. Word is really just the same old package it was in the 1990s, and still hides lots away, and which makes it really difficult to create content which

The Turing Award is generally regarded as the highest honor in computer science. In more than 50 years, only three women have won: Frances Allen, Barbara Liskov, and Shafi Goldwasser, but plenty of brilliant women computer scientists were overlooked: U.S. Navy Rear Admiral Grace Hopper was a trailblazing mathematician who was one of the first programmers to work with the Harvard Mark I computer in the 1940s. Read more about Hopper on the Infinite Women site: https://www.infinite-women.com/women/grace-hopper/ Dr. Gladys West created the Global Positioning System that most of us use to get from place to place. Read more about West on the Infinite Women site: https://www.infinite-women.com/women/gladys-west/ In addition to being a major advocate for gender equality in tech, Maria Klawe’s done work in a variety of fields, including theoretical computer science, human-computer interaction, gender issues in information technology and interactive-multimedia for mathematics education.

Shafi Goldwasser received the Turing Award – the “Nobel Prize of Computing” – in 2012. She needs no introduction to anyone working in computer science or cryptology , a field she essentially founded as a theoretical discipline. Shafi is a professor at both MIT and the Weizmann Institute in Israel, as well as being the director of the Simons Institute for the Theory of Computing at Berkeley. In this episode, Shafi tells us how her favourite scientific ideas are akin to a good joke : they catch you off guard with something unexpected. We discuss how even the most abstract work almost always starts from a concrete example , and how feeling comfortable expressing your ideas is the basis of good collaborations. For more information on Night Science, visit https://www.biomedcentral.com/collections/night-science .

这一期的嘉宾是沛晗，目前在芝加哥一所大学任职计算机教授，方向是理论计算机和密码学。总结这次采访，就是自信又普通的小帅，采访厉害却怀疑自己的教授。她来分享从中小学开始，因为学习计算机，面对过的一些有意无意的负面言论。比如很多老师家长挂在嘴边的，“女孩子后劲不足”，“女生数学好只是因为努力和细心”。她曾经饱受困扰。整个采访过程中，嘉宾有很强的人格魅力，讲话让人如沐春风。 没订阅的朋友，也欢迎在所在的平台上订阅佐治亚小帅。防杠声明是：节目内容仅仅代表嘉宾和主持人个人观点，不代表所有教授，不代表所有程序员，不代表所有女教授，不代表所有女性，不代表所有男性。仅代表自己。 * 本期节目反复提到沛晗的五分钟播客节目，欢迎移步《基本无害》播客Ep69 [五分钟播客计划]作品大赏｜绿绮篇 嘉宾 沛晗，计算机学院教授。 主要内容 女孩子学数理后劲不足？ 女生数学好是因为细心努力，男生数学好是因为聪明？ ”小真做题家“却无法继续学习之路 本是帮朋友凑开课人数，结果。。。 机房里就我一个女生 我就觉得一路上因为我是女生有各种特权 不断自我怀疑，还有IT女生的孤独感 一个恋爱小技巧送给大家 我就是更容易听懂女老师的科研报告 袁征做客佐治亚小帅？ 我的精神食谱 补充信息 Tech Lead： https://www.businessinsider.com/ex-google-staff-brags-iabout-trashing-female-coders-resumes-2022-5 Johny Deep： https://www.insider.com/johnny-depp-amber-heard-relationship-timeline-2020-7 图灵奖：计算机领域的诺贝尔奖， https://zh.m.wikipedia.org/zh/图灵奖 节目提到的女性教授： Shafi Goldwasser: http://people.csail.mit.edu/shafi/ Cynthia Dwork: https://dwork.seas.harvard.edu/ Frances Allen: https://amturing.acm.org/award_winners/allen_1012327.cfm Barbara Liskov: https://www.csail.mit.edu/person/barbara-liskov 嘉宾精神食谱： by David D. Burns B站up主：正经法律 致谢 Photo by Tanner Van Dera on Unsplash Podcast hosting by anchor.fm 感谢沛晗，本期剪辑亦有贡献 往期节目 S3E3 台湾小哥纽约开车行：我们没那么心黑，以及Carvana是打不倒本地Dealer的！ S3E2 爱情是不期而遇，但约会可以规划——北美科学约会指南（不是 S2E9 菊子姐(下)：养大一个孩子，需要整个村庄｜两个孩子的自闭症改变了我，不再关注别人眼中的自己 S2E5 我是专业形象设计师， 帮素人打造职场和约会形象 | 米雪 S1E8 开卡车赚大钱？揭开擎天柱的面纱｜北美卡车司机洛奇 S1E4 房产经纪Lavena：买房就像谈恋爱 【帅番】一个大俗游客的西雅图之旅，各种网红打卡｜Alog 关于佐治亚小帅 佐治亚小帅是一档关于北美华人和美国亚裔的故事访谈播客。主播小帅会邀请华人或者任何讲普通话的朋友，来分享他们在北美的生活和创业故事。我们探讨移民和落地生根，也讨论乡愁和落叶归根。我们分享各行各业，比如在美国怎么当演员，开卡车，做护理医师，开本地商铺，NBA当记者，公立学校做教师。我们也讨论华人生活中的方方面面，比如科技创业，中美文化，房地产，做副业，移民，美国和加拿大留学，保险和养老。我们还有AudioLog，是主播在各地游玩时候的录音导览，期待和你在不同时间踏入同一条河流。 嘉宾来自各个地区，纽约/洛杉矶/硅谷/亚特兰大/芝加哥/波士顿/佛罗里达/加拿大/中国大陆/新加坡/台湾地区/马来西亚等等。未来嘉宾也会来自各个文化，中国，新加波，印度裔，犹太人，印第安人，古巴/巴西/阿根廷，小帅期待和各种文化的朋友有深度的交流，促进跨文化互相理解。 East or west, Xiaoshuai is the best. 欢迎收听，听一听他们的折腾，捣鼓，拼搏，挫折或者躺平的故事。如果你有精彩华人故事想要分享，联系xiaoshuaifm@gmail.com 欢迎加入小帅宇宙 播客：佐治亚小帅小宇宙｜喜马拉雅｜Apple Podcast｜Spotify｜Google Podcast 小红书ID: xiaoshuaifm 即刻：小帅FM Email：xiaoshuaifm@gmail.com。欢迎听友来信，欢迎有故事的同学上节目！ 有趣的听友群：帅助手微信是xiaoshuaifm，备注“加听友群” 。欢迎加入听友群。包括但不限于播客/副业/理财/房产/职场/内推，希望这个小小的社区能够帮你链接到一些合适的资源，或者认识一些有意思的北美小伙伴。 我还有一档播客，叫做 Buy Borrow & Die | 专注搞钱的播客

Juni , Philipp Labor F auf Twitter Labor F auf Instagram In Folge 4 gibt es 4 aktuelle Themen: Fortsetzung des Blutspendeberichts: Junis Blutgruppe ist A+. Enttäuscht davon sein bringt aber nix (außer drei Tage Fieber…) Fortsetzung des Wikipedia-Debakels: im ZDF Magazin Royale vom 03.09.21 geht es auch um Wikipedia, diesmal allerdings darum, wie Politiker*innen dies zu ihrem Vorteil nutzen (können). Die Nobelpreise wurden verliehen, allerdings nur an eine Frau insgesamt. Maria Ressa erhielt (zusammen mit Dimitri Muratow) den Friedensnobelpreis für ihre Arbeit als (Investigativ-)Journalistin & damit die Verteidigung der Presse- & Meinungsfreiheit auf den Philippinen (D.M. in Russland) Juni hat die Schande aus der letzten Folge aufgearbeitet & diophantische Gleichungen nochmal ein bisschen besser erklärt. Bevor es zur ersten Wissenschaftlerin geht, erklärt uns Philipp aber noch, wie die Parteien sich laut Wahlprogramm für mehr Frauen/Diversität in der Wissenschaft einsetzen wollen. Ob das dann auch passiert, werden wir sehen… So, nun aber zur