A guide to the Supreme Court arguments on Donald Trump and the ballot.

Three Big Legal Questions - The New York Times

Jonathan Mitchell's argument to the justices had none of the bombast that other Trump lawyers often deploy.

An un-Trumpy performance delivers for Trump at Supreme Court - POLITICO

Chief Justice John Roberts worried about the consequences of Democratic candidates being kicked off the ballot if Trump is disqualified, but that shouldn’t matter.

Chief Justice John Roberts is afraid of judging in Trump ballot case

Liberal justices not pushing back on arguments “suggests the cake is already baked,” law professor says.

Experts: Hearing suggests even Supreme Court liberals may back Trump

Fraud. Hush money. Election subversion. Mar-a-Lago documents. One place to keep track of the presidential candidate’s legal troubles.

The Cases Against Trump: A Guide - The Atlantic

Apple has faced antitrust and patent infringement claims from various companies and individuals, primarily over its heart-health technology.

Apple Watch: What to Know About the Legal Disputes | TIME

Trump’s arguments in his ballot eligibility and federal election interference cases boil down to the same conclusion: The law can’t capture him.

Trump’s immunity claim resurfaces at the Supreme Court ballot removal hearing

The Supreme Court is expected to confront three major cases that will shape former President Donald J. Trump’s legal battles. Each deals with laws open to multiple interpretations, with implications for his presidential candidacy and criminal trial on federal election subversion charges.

Trump’s Legal Troubles: What the Law Says in 3 Key Cases - The New York Times

The justices will confront a hornet's nest of legal issues as they hear arguments in the historic case.

What is the Supreme Court's Trump case? It will hinge on 6 key questions. - POLITICO

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I used to believe that software for creators was somewhat oversaturated — and upon doing more research, I found out that I was wrong. The Evolution of the Creator Economy First, let’s get the definition out of the way — the “Creator Economy” is not about dancing TikTokers or Instagram influencers partying on yachts. In fact, the largest share of content creators are small businesses. Thus, the “Creator Economy” refers to independent businesses and side-hustles launched by individuals who are looking to earn an income off of their knowledge and skills through digital mediums. To give you an idea of how fast the sector has grown since 2011, take a look at how much creators have earned on Gumroad as of 2020 👇 This growth is being driven by: how we create and consume content
access to new software and media platforms that empower creators
new ways of making money from your work Social Media and The Rise of Creators Initially, social media enabled people to build large audiences and monetization came from brand deals or view count. In this old web economy, earning a living from your work was only possible if you could reach millions. Therefore, it was all dependent on scale. The Move towards Direct Monetization Through social media, creators owned nothing, their content belonged to the platforms. As a result, creators began splitting their efforts across multiple mediums (e.g.newsletters, courses, podcasts) to monetize their audiences directly, without being solely reliant on brand deals and ad revenue. This is when things started shifting. Creators as Owners Through alternative ways to monetize their audience, creators began to realize if they owned the distribution, they could monetize much more differently. In the old world (e.g. instagram, youtube, tiktok), the economics were different. You previously needed thousands, if not millions, of followers to earn $1,000/month. Through direct monetization on new platforms (e.g. Twitch, Discord, OnlyFans, Patreon) you could achieve the same result with a much smaller audience. More and more of these new platforms are offering new ways for creators to make money by going straight to the end-user and offering something of value in exchange for their money. The Creator Economy Landscape Goldman Sachs estimates that the creator economy will double to $480 billion by 2027. Technology has and will continue to play a huge role in this, as it has lowered the barriers to content creation. Individuals are now free to choose which kind of work they take on (e.g. newsletters, livestreams, podcasts). “Earning a living as a creator is an evolution of the so-called gig economy facilitated by companies like Uber and TaskRabbit.”
-Sam Yam, Co-Founder of Patreon This has fueled demand, not only for content platforms, but also new services and tools that help creators manage their business. The Opportunity for Startups in the Creator Economy The shift towards diversified revenue streams and content ownership has resulted in the birth of a myriad of solutions and opportunities for creators, founders, and VCs. Creators have access to new technologies and platforms through which they can engage their audiences and monetize their content. Founders and VCs, recognizing the value of direct audience relationships, have focused on investing and developing tools to facilitate content creation, distribution, and monetization. Some of the business models that VCs are paying attention to are: B2B Services: this includes analytics tools, tools for managing communities and fan relationships, and services that help creators with operations (e.g. legal, accounting, or financing)


Premium Fan Experiences: platforms that facilitate the creation of unique, high-touch experiences for superfans. These can include virtual meet-and-greets, personal shout-outs, exclusive content, and more.


Education and Courses: Creators with specific expertise in can develop and sell courses or offer coaching and consulting services. One of the most overlooked characteristics of the creator economy is that creators are in fact media companies, and these companies require services, tech, and infrastructure to operate. So, do I think startups should build more software for creators? Definitely, yes. If you enjoyed this article, and you’d like to see more content like this, sign up for my newsletter here! I used to believe that software for creators was somewhat oversaturated — and upon doing more research, I found out that I was wrong. The Evolution of the Creator Economy First, let’s get the definition out of the way — the “Creator Economy” is not about dancing TikTokers or Instagram influencers partying on yachts. In fact, the largest share of content creators are small businesses. Thus, the “Creator Economy” refers to independent businesses and side-hustles launched by individuals who are looking to earn an income off of their knowledge and skills through digital mediums. To give you an idea of how fast the sector has grown since 2011, take a look at how much creators have earned on Gumroad as of 2020 👇 This growth is being driven by: how we create and consume content access to new software and media platforms that empower creators new ways of making money from your work how we create and consume content access to new software and media platforms that empower creators new ways of making money from your work Social Media and The Rise of Creators Initially, social media enabled people to build large audiences and monetization came from brand deals or view count. In this old web economy, earning a living from your work was only possible if you could reach millions. Therefore, it was all dependent on scale. The Move towards Direct Monetization Through social media, creators owned nothing, their content belonged to the platforms. As a result, creators began splitting their efforts across multiple mediums (e.g.newsletters, courses, podcasts) to monetize their audiences directly, without being solely reliant on brand deals and ad revenue. This is when things started shifting. Creators as Owners Through alternative ways to monetize their audience, creators began to realize if they owned the distribution, they could monetize much more differently. In the old world (e.g. instagram, youtube, tiktok), the economics were different. You previously needed thousands, if not millions, of followers to earn $1,000/month. Through direct monetization on new platforms (e.g. Twitch, Discord, OnlyFans, Patreon) you could achieve the same result with a much smaller audience. More and more of these new platforms are offering new ways for creators to make money by going straight to the end-user and offering something of value in exchange for their money. The Creator Economy Landscape Goldman Sachs estimates that the creator economy will double to $480 billion by 2027. Goldman Sachs Goldman Sachs Technology has and will continue to play a huge role in this, as it has lowered the barriers to content creation. Individuals are now free to choose which kind of work they take on (e.g. newsletters, livestreams, podcasts). “Earning a living as a creator is an evolution of the so-called gig economy facilitated by companies like Uber and TaskRabbit.” -Sam Yam, Co-Founder of Patreon “Earning a living as a creator is an evolution of the so-called gig economy facilitated by companies like Uber and TaskRabbit.” “Earning a living as a creator is an evolution of the so-called gig economy facilitated by companies like Uber and TaskRabbit.” -Sam Yam, Co-Founder of Patreon This has fueled demand, not only for content platforms, but also new services and tools that help creators manage their business. The Opportunity for Startups in the Creator Economy The Opportunity for Startups in the Creator Economy The shift towards diversified revenue streams and content ownership has resulted in the birth of a myriad of solutions and opportunities for creators, founders, and VCs. Creators have access to new technologies and platforms through which they can engage their audiences and monetize their content. Founders and VCs, recognizing the value of direct audience relationships, have focused on investing and developing tools to facilitate content creation, distribution, and monetization. Some of the business models that VCs are paying attention to are: paying attention to paying attention to B2B Services: this includes analytics tools, tools for managing communities and fan relationships, and services that help creators with operations (e.g. legal, accounting, or financing) Premium Fan Experiences: platforms that facilitate the creation of unique, high-touch experiences for superfans. These can include virtual meet-and-greets, personal shout-outs, exclusive content, and more. Education and Courses: Creators with specific expertise in can develop and sell courses or offer coaching and consulting services. B2B Services: this includes analytics tools, tools for managing communities and fan relationships, and services that help creators with operations (e.g. legal, accounting, or financing) B2B Services: this includes a nalytics tools, tools for managing communities and fan relationships, and services that help creators with operations (e.g. legal, accounting, or financing) B2B Services: a Premium Fan Experiences: platforms that facilitate the creation of unique, high-touch experiences for superfans. These can include virtual meet-and-greets, personal shout-outs, exclusive content, and more. Premium Fan Experiences: platforms that facilitate the creation of unique, high-touch experiences for superfans. These can include virtual meet-and-greets, personal shout-outs, exclusive content, and more. Premium Fan Experiences: Education and Courses: Creators with specific expertise in can develop and sell courses or offer coaching and consulting services. Education and Courses: Creators with specific expertise in can develop and sell courses or offer coaching and consulting services. Education and Courses: One of the most overlooked characteristics of the creator economy is that creators are in fact media companies, and these companies require services, tech, and infrastructure to operate. So, do I think startups should build more software for creators? Definitely, yes. If you enjoyed this article, and you’d like to see more content like this, sign up for my newsletter here ! here here

Are Startups Building Enough for the Creator Economy?

Authors:
(1) TIMNIT GEBRU, Black in AI;
(2) JAMIE MORGENSTERN, University of Washington;
(3) BRIANA VECCHIONE, Cornell University;
(4) JENNIFER WORTMAN VAUGHAN, Microsoft Research;
(5) HANNA WALLACH, Microsoft Research;
(6) HAL DAUMÉ III, Microsoft Research; University of Maryland;
(7) KATE CRAWFORD, Microsoft Research. Table of Links 1 Introduction 1.1 Objectives 2 Development Process 3 Questions and Workflow 3.1 Motivation 3.2 Composition 3.3 Collection Process 3.4 Preprocessing/cleaning/labeling 3.5 Uses 3.6 Distribution 3.7 Maintenance 4 Impact and Challenges Acknowledgments and References Appendix 3.5 Uses The questions in this section are intended to encourage dataset creators to reflect on the tasks for which the dataset should and should not be used. By explicitly highlighting these tasks, dataset creators can help dataset consumers to make informed decisions, thereby avoiding potential risks or harms. • Has the dataset been used for any tasks already? If so, please provide a description. • Is there a repository that links to any or all papers or systems that use the dataset? If so, please provide a link or other access point. • What (other) tasks could the dataset be used for? • Is there anything about the composition of the dataset or the way it was collected and preprocessed/cleaned/labeled that might impact future uses? For example, is there anything that a dataset consumer might need to know to avoid uses that could result in unfair treatment of individuals or groups (e.g., stereotyping, quality of service issues) or other risks or harms (e.g., legal risks, financial harms)? If so, please provide a description. Is there anything a dataset consumer could do to mitigate these risks or harms? • Are there tasks for which the dataset should not be used? If so, please provide a description. • Any other comments? This paper is available on arxiv under CC 4.0 license. Authors: (1) TIMNIT GEBRU, Black in AI; (2) JAMIE MORGENSTERN, University of Washington; (3) BRIANA VECCHIONE, Cornell University; (4) JENNIFER WORTMAN VAUGHAN, Microsoft Research; (5) HANNA WALLACH, Microsoft Research; (6) HAL DAUMÉ III, Microsoft Research; University of Maryland; (7) KATE CRAWFORD, Microsoft Research. Authors: Authors: (1) TIMNIT GEBRU, Black in AI; (2) JAMIE MORGENSTERN, University of Washington; (3) BRIANA VECCHIONE, Cornell University; (4) JENNIFER WORTMAN VAUGHAN, Microsoft Research; (5) HANNA WALLACH, Microsoft Research; (6) HAL DAUMÉ III, Microsoft Research; University of Maryland; (7) KATE CRAWFORD, Microsoft Research. Table of Links 1 Introduction 1 Introduction 1.1 Objectives 1.1 Objectives 2 Development Process 2 Development Process 3 Questions and Workflow 3 Questions and Workflow 3.1 Motivation 3.1 Motivation 3.2 Composition 3.2 Composition 3.3 Collection Process 3.3 Collection Process 3.4 Preprocessing/cleaning/labeling 3.4 Preprocessing/cleaning/labeling 3.5 Uses 3.5 Uses 3.6 Distribution 3.6 Distribution 3.7 Maintenance 3.7 Maintenance 4 Impact and Challenges 4 Impact and Challenges Acknowledgments and References Acknowledgments and References Appendix Appendix 3.5 Uses The questions in this section are intended to encourage dataset creators to reflect on the tasks for which the dataset should and should not be used. By explicitly highlighting these tasks, dataset creators can help dataset consumers to make informed decisions, thereby avoiding potential risks or harms. • Has the dataset been used for any tasks already? If so, please provide a description. • Has the dataset been used for any tasks already? • Is there a repository that links to any or all papers or systems that use the dataset? If so, please provide a link or other access point. • Is there a repository that links to any or all papers or systems that use the dataset? • What (other) tasks could the dataset be used for? • What (other) tasks could the dataset be used for? • Is there anything about the composition of the dataset or the way it was collected and preprocessed/cleaned/labeled that might impact future uses? For example, is there anything that a dataset consumer might need to know to avoid uses that could result in unfair treatment of individuals or groups (e.g., stereotyping, quality of service issues) or other risks or harms (e.g., legal risks, financial harms)? If so, please provide a description. Is there anything a dataset consumer could do to mitigate these risks or harms? • Is there anything about the composition of the dataset or the way it was collected and preprocessed/cleaned/labeled that might impact future uses? • Are there tasks for which the dataset should not be used? If so, please provide a description. • Are there tasks for which the dataset should not be used? • Any other comments? • Any other comments? This paper is available on arxiv under CC 4.0 license. This paper is available on arxiv under CC 4.0 license. available on arxiv

Applications of ML Model Datasets 

Systems Interoperability Types: The Conclusion to Our Tertiary Study

Systems Interoperability Types: A Tertiary Study: Discussing the Results and What Comes Next

The financial crisis in 2008 was a game-changer in the financial industry. The housing bubble’s collapse led to bankruptcy, which affected even Wallstreet. The U.S. treasury came in to rescue wall street by giving over 200 billion dollars in loans to hundreds of financial institutions. Even though it was a good amount, it was insufficient as it accounted for only about 30% of the total cost of bailing out the entire Financial system, which is estimated to be 700 billion dollars. Wall Street speculation was to play the blame though only one person went to jail, . The SEC allegedly destroyed the evidence given as part of the investigation. The bank bailouts are why Satoshi Nakamoto created bitcoin. Kareem Sarah Financial crisis solution — Bail-ins Politicians had a plan for new regulations. An example is the Dodd-Frank Act. According to the , derivatives claims come first in the event of a financial collapse. That means that in the event of a financial crisis, derivatives debt owed by big banks will be paid off before anything else. The difference is that these debts won’t be paid off by bailouts but by bail-ins. Dodd-Frank Act A bailout is when a big bank receives money from someone else to pay back its debts, while a bail-in is when a big bank uses its clients’ money to pay back its debts. It means the bank will use your deposits in accounts or money you lent it to pay debts. Dodd-Frank Act opened the door to allowing big Banks to use their client funds to 'bail in; themselves in a financial crisis. The people in power had been working on alternatives to bailouts since 2008. The urgency to develop an alternative to bailouts increased after the financial crisis started to affect Europe. In mid-2012, the IMF published a paper advocating bail-ins as the ideal alternative to bailouts. It, however, needed a ground to test out the bail-ins. Cyprus — the testing ground Cyprus was one of the European countries hit the hardest by the financial crisis. By the end of 2012, Cyprus was desperate for a bailout. In early 2013, the IMF and the European Union bailed Cyprus for 10 billion euros. The IMF gave Cyprus multiple conditions; one was for Cyprus’s largest bank to execute the first-ever bail-in. Almost 50 percent of all bank account balances worth more than one hundred thousand Euros were seized. The United States was the first to legalize bail-ins in 2010. The Dodd-Frank Act pushed the U.K. to follow suit in 2013. With the financial services act, the E.U. legalized bail-ins in 2016. Bank Bail-in laws tend to vary from country to country. Although the laws may differ, they follow the same three rules, likely because of their Collective Conformity with the FSB. The three rules are: 1. Bank bail-ins are only allowed for banks that are deemed to be domestically or globally important. This rule pertains to those with the most assets under management. The FSB publishes a list of globally important banks every year. There are currently 30 globally systemically important banks, with JP Morgan being noted as the highest risk. 2. Bank bail-ins do not apply to bank balances below the deposit Insurance threshold. In the U.S., the FDIC covers 250 000 deposits. In the U.K., the FSCS covers 85 000 pounds, and in the E.U., it’s 100 000 Euros with various insurers involved. Insurance funds in the U.S. and Europe are woefully underfunded, particularly when we factor in derivative claims. Insurers don’t have enough money to cover all Bank deposits. In the case of the FDIC, its 2021 annual report suggests that it only has around 120 billion dollars in its Insurance Fund, which is low compared to the 19 trillion dollars of Bank deposits in the U.S. 3. The third rule of bank bail-ins states that you will be given some alternative asset in exchange for your lost deposits. Alternative assets are typically shares in the bank that you bailed out. Even though bail-ins may be a good solution for banks and financial institutions, they may be inconvenient to end users. For instance, you could temporarily lose access to your funds during a bank bail-in. Banks could put limits on their hours of operations, payments, transfers, and limits on cash withdrawals until the bail-in process is complete. Also published here.

Can Banks Take Your Money? The Legal and Financial Implications of Bail-Ins

tl;dr: Fare lo sviluppatore in Italia è il più delle volte un incubo Fra tutti i report disponibili, nessuno analizza nel dettaglio lo scenario italiano Abbiamo deciso di farlo noi con un questionario che trovi qui: https://goo.gl/eWDECC E’ anonimo, richiede circa 5–8 minuti e i risultati saranno pubblicati entro fine anno L’iniziativa è legata al progetto Jaguar28 : il nostro obiettivo è riscrivere, in meglio, il rapporto fra professionisti del tech ed aziende 😉 Se hai aperto questo articolo poiché indignato dal titolo, inizia dalla parte finale “PRO TIPS / FAQ / DISCLAIMER” e poi leggi il resto Se lavori in ambito tech, quante volte hai già sentito la frase “ ”? E quante volte ti sei sentito d’accordo? Essere uno sviluppatore in Italia fa schifo Il mercato del lavoro per chi si occupa di sviluppo e programmazione in Italia è “famoso” per essere fra i più arretrati in Europa: tutti lo sappiamo e tutti ci rendiamo conto di trovarci di fronte ad un disagio strutturale che può solo peggiorare con il tempo. Il problema non riguarda solo i salari (i più bassi dell’Unione Europea, insieme a Portogallo, Spagna e Grecia) ma più in generale la concezione del ruolo di “developer” all’interno delle aziende. Per ogni storia romanticheggiante di qualche ragazzino californiano che diventa miliardiario grazie ad una app e viene intervistato da tutti i giornali, in Italia ci sono decine di storie molto meno piacevoli su aziende che non conoscono orari, non investono su innovazione e formazione e credono di poter disporre liberamente della vita dei propri collaboratori. L’intramontabile convinzione del “ ” è infatti anche parzialmente accettabile ma perde ogni legittimazione quando il professionista è sbattuto in uno scantinato a fare il refactoring di progetti vecchi di decenni scritti in Fortran (o quasi) e viene considerato come un pericoloso sovverviso quando si prende un permesso per partecipare ad un seminario. i salari in Italia sono più bassi perché la vita è meno cara Per fortuna esistono già alcune startup ed aziende che hanno compreso l’importanza di questi professionisti e che, per quanto possibile, cercano di garantire loro le condizioni più stimolanti: sono ancora casi isolati — in genere in quei contesti con un’elevata competizione per attrarre i migliori talenti — ma da qualche parte dovremmo pur partire. In tutto questo non dobbiamo dimenticare la crescente categoria dei professionisti italiani che vanno a vivere e lavorare all’estero. Troppo spesso vengono liquidati con un “ ”, anche se non se ne conosce l’effettiva situazione. : esistono sviluppatori italiani che vivono all’estero e sono sottopagati anche lì! loro sì che hanno fatto bene ad andarsene, bravi! NOTIZIA SHOCK Ecco quindi spiegato il grande paradosso: oggi sono moltissimi i professionisti che si lamentano della situazione italiana, ma non esiste nessuna vera analisi a tal proposito. Ogni anno sono pubblicate ricerche davvero apprezzabili sul mondo degli sviluppatori (quella di Stack Overflow è in genere la più completa) che però considerano l’Italia un mercato periferico e che non merita di essere valutato nel dettaglio. Ci siamo quindi chiesti: Qual è il salario medio degli sviluppatori italiani? Quali sono le tecnologie che utilizzano, quelle che vorrebbero utilizzare e quelle che invece vorrebbero dimenticare? Quali sono i fattori di soddisfazione ed insoddisfazione in azienda? Per trovare una risposta, abbiamo deciso di lanciare una nostra survey e condividere pubblicamente la fotografia che emergerà. L’obiettivo è creare una coscienza collettiva sull’argomento e provare ad influenzare il cambiamento, mettendo sul tavolo dati concreti ogni volta che un’azienda si chiederà perché non riesce a trovare sviluppatori in gamba. Il questionario è disponibile qui: https://goo.gl/eWDECC Se hai almeno 1 anno di anzianità come developer, sistemista, QA tester, DevOps e ruoli simili, lavori full-time in Italia o sei un italiano all’estero e hai voglia di dedicare 5 minuti del tuo tempo per aiutarci, questo è il questionario che fa per te. Il questionario è totalmente anonimo e non ti chiederemo indirizzi email o informazioni sensibili riconducibili direttamente a te. Entro fine anno pubblicheremo i risultati. Questa iniziativa è legata al progetto : siamo una startup di Torino e il nostro obiettivo è riuscire a riscrivere, in meglio, il rapporto fra professionisti del tech ed aziende. Qualche mese fa abbiamo già pubblicato un per raccontare come vorremmo farlo. Jaguar28 Manifesto Se hai domande, puoi scriverci a hello@jaguar28.com Grazie! MILESTONES: Lancio della survey: 11 luglio 2017, ore 14.00 Risposte inviate nelle prime 24 ore: 254 Visualizzazioni nelle prime 24 ore: 976 🏆_:_ 1000 risposte 14 luglio 2017, ore 14.19 PRO TIPS / FAQ / DISCLAIMER: Se ti va, condividi questo articolo e/o la survey anche con i tuoi contatti! Se vuoi condividerlo nei tuoi gruppi facebook, chiedi prima il permesso agli admin per non farci passare come spam 😅 Il questionario non chiede mai il tuo nome o il tuo indirizzo email, quindi è un database che non potrà mai finire nelle mani di qualche scammer o, peggio, di qualcuno che non conosce la differenza fra Java e Javascript. Sappiamo che, da un punto di vista metodologico, il report è pieno di possibili bias. Non abbiamo tuttavia la presunzione di volerlo presentare all’ONU in seduta plenaria. O forse sì? Stack Overflow ha parlato di alcuni aspetti dello scenario italiano nella Developer Survey del 2016 (% di remote worker, età media, importanza del salario), rispetto ad un campione di circa 1000 profili italiani. Nella Developer Survey 2017, Stack Overflow analizza USA, India, UK, Francia e Germania ma non l’Italia (da cui ha ricevuto circa 900 risposte). Ci è stato detto che l’AICA (Associazione Italiana per l’Informatica e il Calcolo Automatico) distribuisce annualmente un report abbastanza simile. Noi purtroppo non siamo riusciti a reperirlo da nessuna parte. In autunno lanceremo la controparte volta a raccogliere il punto di vista delle aziende tech. Non invieremo i risultati attraverso una newsletter perché sappiamo che la privacy è top concern e non vogliamo lasciare spazio a nessun tipo di insinuazione su come potremmo usare i vostri indirizzi email. I risultati verranno pubblicati con un post su questo profilo e riproposti nei gruppi dove abbiamo già postato questo articolo. Il titolo è volutamente provocatorio (o clickbait, se volete un termine Internet 3.0) per una ragione molto semplice: la maggior parte della dev community italiana si attiva solo quando il flame è alle porte. : il titolo è una provocazione, non una conclusione. RIPETO Commentare l’articolo e/o l’iniziativa solo in base al titolo senza averne letto per intero il contenuto equivale a condividere con toni indignati i link dei siti di fake news. Se il tuo sesto senso ti fa percepire una truffa, una fonte di speculazione o una cospirazione degli Illuminati non sei obbligato a completare il questionario né a condividere pubblicamente le tue paranoie. Se la cosa ti rende più sereno: sì, siamo Rettiliani e tu ci hai scoperto.

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