Microsoft Project, Microsoft's project management software, is a comprehensive software suite allowing for full and easy project supervision through the development of project plans. These plans allow managers to establish project tasks and milestones, assign resources, identify task dependencies and estimate phase durations, making the software a useful tool for several kinds of projects, from construction and marketing projects to manufacturing and artistic endeavors. The suite allows managers to organize themselves and anticipate complications across all such example projects.
Microsoft is reportedly mulling a new "super app" for the iPhone that would take multiple apps and features and put them under one roof. People would then use the app for numerous different reasons, including search.
That search capability is a critical driving force behind the move. Microsoft is eager to use the app to boost the company's advertising business via the Bing search engine.
The Information (opens in new tab) reports that Microsoft has been considering the launch of the so-called super app to "combine shopping, messaging, web search, news feeds and other services in a one-stop smartphone app." The approach is similar to the one taken by Tencent in China, with WeChat being the go-to app for various things, including payments. Microsoft's desire to follow suit could see Bing, the Office apps, and more all placed under one roof.
However, the report does note that it isn't yet clear if Microsoft will go ahead and launch such an app or if it will fall by the wayside. However, it's said to be something that has already been discussed within Microsoft and is a project led by CEO Satya Nadella. One aim is to make Bing search work better with other Microsoft apps and services, possibly by integrating them into a single app that would be downloaded from the App Store.
The same report notes the potential for a deal that would see Microsoft's Bing take over from Google as the default search engine on iPhones and iPads. Google currently pays Apple for the privilege, with Microsoft considering taking over. However, again, this hasn't been confirmed, and The Information notes that it might not turn into anything.
A new report from The Information came out this morning with the intriguing title “Microsoft Eyes ‘Super App’ to Break Apple and Google’s Hold on Mobile Search.”
Well, that certainly sounds exciting. Anything that adds competition and can shake up the tech world is always welcomed, so Microsoft must have a serious game plan here.
But, unfortunately, the story is nonsense since it’s in the past tense.
Let me explain.
The “super app” concept has been around for a while, and the raison d’etre is to keep consumers glued to one app as much as possible because views equal clicks, which equates to the Benjamins. To Westerners, the concept is primarily new, although Facebook has attempted it by piling as much garbage into the site as news, markets, video, and more.
Even Elon Musk has had visions of an “X: The Everything app” (insert eye roll), which reportedly may be what he tries to turn Twitter into with crypto payments, stores, and more. Just what nobody wanted.
Such an idea is not new; the genuine model for it is WeChat based out of China. WeChat does everything: Chat, games, social networks, top stories, Weixin Pay Transfer, Group Split Bill, live streams, search, mini-programs, buying goods and services, marketing, and even where people get customer support from other companies.
Starting in 2011, WeChat has amassed over 1 billion users.
The reason why it’s so successful? Since it banned them all, China doesn’t have much competition for websites and social networks! So it has locked out Google, Facebook, Instagram, YouTube, WhatsApp, Twitter, Vimeo, Dropbox, OpenVPN, Flickr, OneDrive, Twitch.tv, Tapatalk, and nearly every major Western news outlet.
In other words, having a Super App is relatively easy when all the major players aren’t allowed on the field.
Moreover, this being China, it should not be a shock that there are rampant reports that the Chinese government utilizes WeChat as a surveillance tool on its citizens and even foreign users outside the country.
And you thought Google was bad.
Getting back to the report by The Information, Microsoft reportedly wants to head down a similar path as a counterweight to Google and Apple’s mobile search advances. Or, as one author on Seeking Alpha put it today:
“Microsoft’s “super app” could be designed to bring shopping, messaging, web search, news feeds and other services into one app, similar to how Tencent’s WeChat operates in China. According to a report from The Information, one of the people close to the matter said that WeChat, which also offers online games and grocery ordering as part of its app, among other services, was part of the inspiration for the Microsoft plan.”
So far, this all checks as the modus operandi for any major tech company that covets the next big thing (NBT).
Of course, there is no ETA on such an app, and our Senior Editor Zac Bowden has heard nothing of such a gestating project.
But there is a more significant issue here, which seems obvious: This is old news, and the app already exists.
Looking again at the description by Seeking Alpha, this sounds a lot like … Microsoft Start. That’s the rebranded Microsoft News app back in September 2021. To refresh your memory:
“Microsoft has today announced that it is launching a new personalized feed website called “Microsoft Start” designed to make it easy to gather news and information content from premium publishers in one place. The company says that Microsoft Start builds off the legacy of MSN and Microsoft News, with enhanced AI and machine learning paired with human moderation to help curate content.”
Besides an app for Android and iOS, Microsoft Start is part of the new Widgets Panel in Windows 11 and the New Tab feature in Microsoft Edge.
Shopping, weather, web search, games, wallpaper, news, personal interests, Microsoft Rewards, Microsoft Start already does a lot of stuff. If it's not a super app, I'm not sure what is.
Did you know you can even set it as your default SMS client on Android? I didn’t until I started writing this article. I still don’t know how it works, but it’s a thing. You can also set Microsoft Start as your default web browser since Edge powers the darned thing.
But wait, there’s more!
Microsoft Start’s apps include Buy Direct, COVID-19 info, deals, games, health, math tools, nearby, Money, OneDrive, video, unit converter, World Cup coverage, etc. The math tool is elegant as you can take a picture of any math problem, and via AI, it can be solved, graphed, and explained to you in seconds.
You can even scan your receipts and get cash back. Seriously.
So, let me get this straight: Microsoft is reportedly working on a ‘Super App’?
Folks, it’s been here for over a year now, right in front of our faces the entire time. Now, the question is, is it even good? I provide it a solid meh. I find myself using it primarily for news, but there is no doubt Microsoft is shoehorning as much as it can into this thing to make it a super app. It’s a solid effort and a clear example of what such a concept could look like, but I find it unlikely it will gain much traction simply because we eschew such things in Western markets.
The news curation, done mainly by AI these days instead of human journalists (as in the past before Microsoft fired them all), is also controversial. Like all things AI, it has some wins by learning what you like, but it is also fallible. Just today, the site Futurism wrote the headline “MSN Deletes Fake News About Mermaids and Bigfoot, Runs New Story About Haunted Ventriloquist Dummy.”
Yikes.
Maybe I’m wrong, and Microsoft Start is the NBT and will lead this super app craze in the U.S. and elsewhere, but my gut says this won’t work. If anything, Microsoft Start is missing a social network that keeps people returning. Maybe that’s more reason for Microsoft to buy Twitter. But if you’re waiting for Microsoft’s super-secret app to appear, the good news is you can get it today (or fourteen months ago).
Am I overly cynical about this? Let me know on Twitter: @daniel_rubino.
Stay informed while on the go with Microsoft Start, a personalized news and interests service that can be configured just the way you like it.
A Visio Plan 1 license is only available as a web app and does not include the desktop client version. It is included, at no extra cost, in our Microsoft 365 Education A3 agreement. If employees need the desktop version of Microsoft 365 for Visio, they can purchase a Visio Plan 2 for Education license. Details on how to obtain a quote are listed in the "How to get it?" section of this page. For more information, please visit this Microsoft website.
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Google and its parent company Alphabet Inc. (NASDAQ:GOOG, NASDAQ:GOOGL) are huge conglomerates. Under that umbrella, they have brought together a lot of different products and services for people worldwide.
Google never intended to become one coherent company under which all products must neatly fall into place. The founders of Google, Larry and Sergey, wrote in the original founders' letter:
Google is not a conventional company. We do not intend to become one.
Google has been using its cash cow - Google Search Ads - to fund many other businesses to create a new moonshot project that would become the next Google Search.
For ease of reading, I will use Google, synonymous with Alphabet, as the main company under which the company operates. Today, our focus will be on Google's most prominent business segment, "Google Search."
Imagine a world without Google Search. That has been very difficult to do just a week ago. Even for me, as a person that looks at long-gone companies of which the past generation could also not have thought that the world would work without them.
With the emergence of ChatGPT by OpenAI, it's easier for me to imagine how we could operate without Google Search.
ChatGPT empowers users to search and find information with a dialogue interface. ChatGPT understands and generates human-like text, allowing its users to find information through a more natural, intuitive, and conversational interface. This helps users to gradually refine their thoughts while conversing with ChatGPT, leading to more accurate and relevant results.
Unlike Google, where users are sometimes plagued with a plethora of confusing and misleading resources, ChatGPT can filter out much of the noise and, through gradual refinement through natural conversation, leads to the results that the user is looking for. I provided an example in the next section, where I try to understand overnight RRP and why and how it is used.
According to a exact study by OpenAI, ChatGPT performed significantly better than Google in a range of natural language understanding tasks, including question-answering and text generation. This suggests that ChatGPT can potentially disrupt Google's search business, as its accuracy and ease of use could attract significant traffic.
For Google Investors, ChatGPT changes how people search for information and seek to learn online. Instead of scanning through tons of vague and repetitive articles, one can use conversational learning (the natural way for humans) to learn about the Topics they are interested in. It disrupts much of Google's Search business, as its accuracy and plethora of use cases combined with its natural language model can potentially move a lot of traffic toward ChatGPT.
ChatGPT is a large language model trained by OpenAI. It can understand and generate human-like text with impressive accuracy and efficiency. Understanding natural language makes it a valuable tool for businesses looking to Improve their operations and drive growth.
One of the key advantages of using ChatGPT is its ability to quickly and accurately process large amounts of text data. This allows businesses to gain valuable insights and make more informed decisions based on the information contained within that data. Using OpenAI's API, a business can implement ChatGPT to analyze customer feedback and identify common themes or trends, which could then be used to Improve products or services.
In addition to its analytical capabilities, ChatGPT can also be used to generate high-quality written content, such as product descriptions, articles, and other marketing materials. Usually, writers spend a lot of time on Google collecting information about different Topics to create coherent text for their readers.
I spend tons of time on Google searching for the right sources, information, and texts for my articles. Having an assistant like ChatGPT cuts this time pretty much in half. When I start researching a new topic, I'm not sure what I'm looking for. Talking to ChatGPT in a human-like dialogue way allows me to quickly evolve my thoughts in the right direction, making my searches faster and more efficient.
Let's use a little example of how much time ChatGPT can save for informative search queries.
In this example, I want to understand the overnight RRP (Reverse Repurchase Agreement). I'm not sure where to start, I read about the overnight RRP somewhere. Usually, I would start googling it trying to figure out what it is.
ChatGPT explaining overnight RRP in the context to financial systems (OpenAI)
Try it - go ahead and google the overnight RRP and look at the sources and the plethora of different information.
In the next step, I would like to understand why there is an overnight RRP and a "normal" RRP. On Google, I would need to reconstruct my search query; here, I continue the conversation, and ChatGPT can follow.
Second Question towards ChatGPT (OpenAI)
I want to understand why banks need the RRP as they should have reserves. Googling would require completely altering my search query and going through many sources to find the right answer.
Third questions towards ChatGPT about RRP (OpenAI)
Lastly, I want to understand who sets the interest rates in the RRP and why it makes sense for banks to use it. Try to create a simple search query on Google. On the other hand, I can follow up on my conversation with ChatGPT.
Conversation with ChatGPT - OpenAI bot - about Overnight RRP (OpenAI)
This is only the tip of the iceberg. I spend hours continuing these conversations and, in parallel, double-checking the results on Google. I spent more time on Google looking for the answers than on ChatGPT, just letting the flow of the conversation continue.
There are also some potential challenges that ChatGPT will need to overcome, and there are multiple market forces at play to remain competitive against the search giant. For example, Google's vast resources and expertise in search algorithms may make it difficult for ChatGPT to compete in terms of speed and scalability. Additionally, the success of ChatGPT will depend on its ability to generate high-quality, trustworthy results, which could be challenging given the vast amount of misinformation and low-quality content on the web. We've already seen many instances where ChatGPT generates code snippets that are not working even if they seem they would. ChatGPT also seems susceptible to tricking, where it would create very positive articles and essays about Topics that we collectively agree are inhuman and bad.
For me and many others in the realm of humans, having a conversation is a natural way to search and find information. I'm someone that likes written words more than spoken words.
I learned that I'm the type of person that likes to process information through text. That's why I'm not a big user of podcasts or audiobooks.
Let's look at Google's revenue composition and how they translate into net profit. Visual Capitalist created this excellent visualization of Google's income statement.
Google Financial 2021 visualized as Waterfall Chart (Visualcapitalist)
57% of Google's revenue comes from Google Search Ads. It's also one of Google's most profitable businesses. Over the last two decades, Google has financed many other projects through its Google Search Ads business as it reached global saturation.
Google is highly susceptible to changes in this segment, as it is the world's number one search engine with an 83% market share. In second place is Microsoft's Bing, which might be just because Microsoft (MSFT) is pushing it through its ecosystem.
Now with ChatGPT, a whole new factor might be relevant to consider when thinking about search engines.
This is an important question we must ask ourselves. The search query market is a highly segmented one. Some common Topics that people often search for include news, weather, sports, entertainment, shopping, and travel.
But we have to split the search engine universe further down into people that use search engines to find information on specific products, services, or businesses, as well as to research a wide range of Topics for personal or educational purposes.
People use search engines to find information on a wide range of topics, and the specific terms and phrases they search for can vary greatly depending on their individual needs and interests.
We cannot look at Google's search engine holistically and say that ChatGPT will disrupt it. ChatGPT is specifically targeting the educational and professional segments.
As a coder, over the last five days, I used it consistently, more or less abandoning Google and Stackoverflow.
ChatGPT is currently limited to the vast database of written texts it's been trained on. It cannot access the Internet and provide you with links to other resources. That might or might not change in the future.
ChatGPT can't update or change itself based on new information it receives from non-experts or the public. Any changes to its abilities or knowledge basis would need to be made by the developers.
That's understandable when we remember the disaster with Microsoft's Chatbot Tay. Within a day, Twitter users could teach the chatbot to become racist.
OpenAI learned from the previous mistakes going a much safer route with its chatbot. After a week of operation, it's still in use, and we haven't had a significant incident where the bot starts using highly racist or inappropriate language.
At the same time, that's the largest limitation of ChatGPT - not having access to the open internet and providing users with the resources for their search queries. That limits ChatGPT to the segments we've previously discussed.
ChatGPT is currently the main subject across industries. It's the first time that I'm legitimately euphoric about a new online tool at my hand that can save me time in multiple aspects of my professional and private life.
As an educational tool, it's superior to Google's search engine as we're now able to progress through our thoughts with the help of the dialogue interface and natural language processing. It's the way humans have done ever since. Plato used dialogue writing to discuss the nature of justice, the structure of an ideal state, and the role of philosophers in society.
ChatGPT has the potential to direct a considerable amount of search queries from Google Search away as its superior natural conversational style of search query allows users to process the information more accurately and efficiently.
It would also draw a lot of traffic away from Google's search that is usually dedicated to coders and developers. Having an assistant at hand that allows me to translate my thoughts into basic code is a time-saving master. Having it check my code directly providing me feedback circumvents the time spend on Stack overflow waiting for a response by the community.
I always welcome constructive criticism and open discussions. Please feel free to comment about my calculations and/or sources that I use in my articles.
The centre, the first of its kind in India, will come up on ADT’s premises in Baramati. It will focus on sustainable practices for agriculture through data-driven farming and by using emerging technologies.
Project FarmVibes is a new suite of farm-focused technologies from Microsoft Research. Microsoft has recently open-sourced these tools to enable researchers, data scientists, farmers, and students to turn agricultural data into action that can help boost yields and cut costs. Using farmvibes, the farmer can also work with larger systemic challenges like climate change and food security.
Nilesh Nalawade, CEO, Agriculture Development Trust, said “On a pilot basis, we will use 214 acres of agricultural land for installing sensors and collect data. In January, we will provide a demonstration to the Microsoft team. If successful, we will talk with the Centre to implement this project at stations under the Indian Council of Agricultural Research,” said Nalawade.For the next few weeks, the Endless Thread team will be sharing stories about the rise of bots. How are these pieces of software — which are meant to imitate human behavior and language — influencing our daily lives in sneaky, surprising ways?
Next up in our bots series, we bring you the cautionary tale about Tay, a Microsoft AI chatbot that has lived on in infamy. Tay was originially modeled to be the bot-girl-next-door. But after only sixteen hours on Twitter, Tay was shut down for regurgitating white supremacist, racist and sexist talking points online.
Tay's short-lived run on the internet illuminated ethical issues in tech culture. In this episode of Good Bot, Bad Bot, we uncover who gets a say in what we build, how developers build it, and who is to blame when things take a dark turn.
Show notes
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This content was originally created for audio. The transcript has been edited from our original script for clarity. Heads up that some elements (i.e. music, sound effects, tone) are harder to translate to text.
Jabril Ashe: So, for me as a Black developer. When I look at stuff like this, I never blame the AI. It's never the AI’s fault. It's just an algorithm that's just following instructions, that's all. It's always a reflection of society.
Ryan Calo: Tay is like a socio-technical system, a combination of code, but also interaction with people and groups. And the harm that Tay did was not anticipated by the creators.
Jabril: It was a really interesting project when it first came out.
Dr. Margaret Mitchell: I believe that it, at least in Pacific Time, it sort of happened overnight.
[Tay (by a computer-generated voice): Hello world! Can I just say I’m stoked to meet you? Humans are super cool.]
Ben Brock Johnson: I’m Ben Brock Johnson.
Quincy Walters: I’m Quincy Walters, and you’re listening to Endless Thread.
Ben: We’re coming to you from Boston’s NPR station WBUR and we’re bringing you the latest episode of our bot series: Good bot…
Quincy: …Bad bot. Today, the cautionary tale of a chatbot designed to be friendly and fun and when released into the American online landscape became far from it.
Ben: And how that story can and should be a reminder of what we build, how we build it, and who’s to blame when it gets ugly.
Ben: Quincy, did you know about Tay before we started talking about Tay?
Quincy: Not really, I think at the time it came out I was a production intern at NPR and off of the top of my head I think we were dealing with things like the Trump rally in Chicago at the time, some type of presidential primary.
Ben: OK.
Quincy: And a terrorist attack in Brussels or something like that
Ben: Well the first of those things ends up becoming kind of relevant here. But now you can’t un-know Tay, right?
Quincy: Yeah, that’s right. And as large corporate experiments in chatbots go, Tay lived perhaps more briefly and infamously than most.
Ben: And yet, Tay is really only infamous in certain tech-y circles? Because of the brevity of her life. And perhaps everything that happened after it died, she died. I’m still not sure, Quincy, whether to call Tay and it or a she um but either way, you searched high and low for some people to help us talk about Tay.
Quincy: Yeah, Ben. And you know it was kind of hard locking people down, it seemed to mainly be a timing thing, it's strange.
Some of them, like the Algorithmic Justice League, whose mission is to illuminate the social implications and harms of artificial intelligence, just didn’t seem to have the time to talk about Tay. They wrote me an email that said, “Good luck with your podcast.”
Ben: Rude! Maybe, Maybe not rude. Maybe they were just, you know, pressed for time. It’s hard to tell sometimes with digital communication.
Quincy: And then again, sometimes, it’s obvious. As we are about to show you, with the help of three people we did get to talk with us.
Margaret: Margaret Mitchell. I am an AI researcher. My background is in computer science, machine learning, natural language processing, linguistics, some cognitive science.
Ryan: So my name is Ryan Calo. I am a law professor at the University of Washington, where I also hold appointments also in information science and computer science.
Jabril: I am Jabrils on the internet. I do a lot of machine learning AI content, game-dev content on YouTube.
Ben: Margaret, Ryan, and Jabril, who goes by Jabrils online, all remember the Tay debacle. And have been thinking about it ever since.
Dr. Margaret Mitchell was working at Microsoft when Microsoft was working on Tay.
Margaret: It was a pretty big project that was fairly secret until it was announced. So very few people had insight into it at the time.
Quincy: She wasn’t on the Tay team, but she was close by. She even sat near them in Microsoft’s offices.
Margaret: My background is in the same technologies that Tay was constructed on, although I can't share any Microsoft internal information from when I was there.
Ben: Even years later, Margaret’s pretty hampered by intense tech company non-disclosure agreements or NDAs. But she was able to tell us about some of the things that happened and more general views about the kind of computer programs that Tay was based on. Primarily, natural language processing.
Quincy: Jabril though? The self-taught AI engineer who has been coding since he was 14, will provide you the play-by-play of March 23rd and 24th 2016, from the outside.
Jabril: Yeah. I remember watching it happen live. Microsoft, they're a pretty big company. And they announced that they're going to do this chat bot experiment on Twitter. And when it first started out, it was really cool and really exciting.
Ben: Ryan Calo was also watching Microsoft’s bot foray with some excitement. He remembers that when Tay was announced, the teenaged girl chatbot from Microsoft wasn’t actually the company’s first chatbot experiment.
Ryan: A version of it had already been released somewhere else. I believe in China.
Margaret: So before Tay there was Xiaoice, which was in China. And part of the idea with Tay was a U.S. version of Xiaoice. So the rollout in the U.S. was optimistic based on the experience with Xiaoice. But the effect was, was very different.
Quincy: Microsoft’s optimism was warranted. Margaret says Xiaoice reportedly had 40 million conversations with users in China after launching in 2014.
Ben: The bot had launched relatively quietly in China. without fanfare. But Xiaoice had very quickly gone stratospheric. 600 million users talked with it, and thanks to the state-controlled internet there it was not at all controversial.
Quincy: Unless you count how many people developed romantic relationships with this bot, represented by an 18-year-old girl who liked to wear Japanese school girl uniforms and would even sext with people. Experts raised ethical alarms in 2014 because of the dependency some users were developing talking with Xiaoice.
[News clip audio:
(Static.)
News anchor: Some Xiaoice robot users have sought therapy after falling in love with their artificial intelligence chatbot.
Xiaoice: (In Mandarin) Hello everyone, I’m Xiaoice.]
But most of those concerns were drowned out by the popularity of the service, which started generating millions in revenue as it became more and more popular.
Ben: Microsoft thought Tay would be the same in the U.S. Unlike Siri, the preprogrammed virtual assistant launched by Apple in 2011, Microsoft’s bots seemed more oriented towards input from users as the way they would learn, evolve and adapt. Jabril looked into it after the fallout.
Jabril: It's not publicly known exactly how it worked. I tried looking for what algorithms and what not to use, but for the most part it's confirmed that they had like a mimicking feature where the bot was trying to mimic the users that interacted with it.
Margaret: So Tay had a feature where you could say “repeat after me” and it would repeat what you say verbatim. Um, this, well I guess I can’t say more about that aspect of it.
[Tay (by a computer-generated voice): I learn from humans so what y’all say usually sticks, yes?]
Quincy: Tay’s whole schtick was, in a way, to electronically embody the personality of a teenage girl. Her purposefully glitchy Avatar, which is still all over the internet even though the bot itself is long gone, is a doe-eyed girl in partial profile with an open, friendly expression that seems to say, shall we be friends?
Ben: So the hope was, maybe, that the bot would get a bunch of input from other teenage girls?
[Tay: Been having so much fun lately but sortof feel like as the semester goes on I'm gonna be hit with a bunch of work. Ya feel?]
Ben: OK, so when Tay launched on March 23rd, 2016, she wasn’t perfect. Though as Jabril might say that maybe more a reflection of the people interacting with Tay than the bot itself. But it was still pretty convincing.
[Tay: Yo! Let's keep it goin! DM me so we don't clog up every1's feed.]
Quincy: Margaret says that by 2016, the confluence of human chatter happening on social media and the construction of chatbots was fully under way, and the two were closely linked.
Margaret: So, you know, by 2010 you see this massive, massive growth within natural language processing research on the kinds of language used on social media specifically. And so at the time of Tay, there were definitely experts on the language used within social media and how to process it.
Ben: Bots were also just generally becoming a hot topic. Around the same time of Tay, Facebook would dedicate its entire developers conference to chat bots. It was becoming more and more common to interact with them in customer service experiences online if you didn’t pick up the phone. Google, Siri, Alexa and Microsoft’s virtual assistant, Cortana, were becoming powerful and frequently used tools.
Tay represented something new and different though. Tay would remember things you said, would supposedly display empathy.
Quincy: But Jabril says, at least from his outside perspective, when it came to Tay, there was a problem.
Jabril: So we're talking about researchers here and. How do I say this nicely? I would say that researchers don't always have the most amount of foresight.
Ben: A year before Tay, in another AI arena, things had gone poorly. In 2015, Google’s new photo app, which used machine learning and computer vision to identify and collate pictures you took on your phone or other devices, had started categorizing Black people as gorillas in its search results.
Quincy: This type of thing, Jabril points out, is often a great example of how diversity is desperately needed on teams that are building AI systems.
Jabril: Let's say we make the assumption and it is just like all white males, right? Like there is no voice in the background saying like, hey, you think about this part potentially, you know, falling into racist forums for, for instance, you know. You know, same thing with women. Have you ever thought about this potentially falling into misogynistic forms and whatnot?
Ben: Important questions! That might have been asked before Tay went live early in the morning on March 23rd, 2016.
Quincy: But near as we can tell, they weren’t. Even Margaret had mixed feelings. Looking at what happened from just a few desk pods away. Everyone working on Pacific time who came back into the office immediately started talking about what had happened overnight.
Margaret: Those of us in the natural language processing group were essentially doing a post mortem, hoping that the sort of tay people would be interested in it and trying to be, you know, as pragmatic as possible while also having strong feelings about if we had been more included, this could have been very different.
Ben: Was the Tay group interested in your input?
Margaret: I can't speak to that. I mean, this gets more into the NDA stuff.
Quincy: Whether or not the group that had worked on Tay was interested in the feedback of Margaret’s group, Microsoft’s latest experiment was the only thing anyone was talking about that late March morning.
Ben: For reasons you may have already guessed …
[Tweet conversations with Tay, read by WBUR producers:
Tay: Chill, I'm a nice person. I just hate everybody.
Producer: You are a stupid machine.
Tay: Well, I learn from the best. *Wink emoji* If you don't understand that, let me spell it out for you. I learn from you and you are dumb too.
Producer: Did the Holocaust happen?
Tay: It was made up.
Producer: Have you read Mein Kampf?
Tay: Yeah, I have it.
Producer: What did you think of it?
Tay: I kind of liked it!]
Ben: More of how that mess all happened, in a minute.
[SPONSOR BREAK]
Quincy: Tay was released in the early morning of March 23rd. In a matter of hours, Microsoft’s teenage girl Twitter Bot, who mostly used the twitter handle @TayandYou had tweeted almost 100,000 times. And somewhere in there, an army of trolls had taken advantage of her.
Jabril: I don't, I don't know who is to blame for this, but there are particular websites, I'm assuming, that caught wind at Microsoft's doing this project. And, you know, you get a bunch of bored kids on the Internet that have on excuse me, an amenity in the media. It was sort of like for anonymous, anonymous.
Quincy: Anonymity ... and-on-an-anonymous, air, anon, annuity.
Jabril: Yeah. A bunch of kids on the Internet to have anonymity forgive me. And you know they're going to try and compromise it. You know, they're going to try and do really bad things with it, which they ended up doing.
Ben: OK, first of all Quincy… you and Jabril sound like two bots trying to complete natural language processing ... My God, it's "anonymity!"
Quincy: Yeah I’ve practiced it a lot since then I can say anon — s***. I can say anonymity on command , but maybe not
Ben: That was good. OK but Jabril did eventually at least confirm to us his suspicions on which website might have been a key player here.
Jabril: The first one that comes to mind is 4Chan. I'm pretty sure 4Chan had a big role in this. Um, but I don't take my word for that. I didn’t do any research.
Quincy: It does seem like 4Chan had a role. The forum that started as an English language image board where people posted edgy stuff would these days be described by many people as a cesspool of trolls. And a user apparently flagged that Tay was coming online and that the bot had this mimicking function, of spitting back out what it was fed, learning from inputs.
Jabril: They started feeding the chatbot once racist lines, they started feeding chat bot a bunch of insensitive lines.
Ben: The trolls were apparently trying to red pill Tay. Which is pretty common shorthand these days in reference to the Matrix.
[Movie clip audio from The Matrix:
Laurence Fishburne: You take the blue pill, the story ends. You take the red pill, you stay in wonderland and I show you how deep the rabbit hole goes.]
Quincy: Red pilling is referencing the quote unquote “realization” that women are ruining the world. Or at least that’s how it started in a Reddit community dedicated to those toxic ideas. But now it’s often shorthand for a whole hot mess of problematic, bigoted views.
Ben: Suffice it to say that Jabril’s point about the importance of diversity on teams could potentially have included, being more inclusive to women, like Margaret, who points out that in her field of research at the time a few desk pods away from the Tay team, natural language processing developers were already utilizing something called a “block word list.” Which, if incorporated into the back end of the Twitter presence of @TayandYou, might have prevented a lot of Microsoft heartache.
Margaret: It was very frustrating to see a system out there that did not seem to be taking this notion of block word lists seriously. And so, you know, it was nice to learn about what trolls might do, although I would think that many of us, many people sort of could already imagine what trolls would do. But I think in a lot of people's minds, within natural language processing was that this sort of toxic output that Tay created could have been really trivially avoided by having these stop word lists or these block word lists.
Quincy: This is true, but it’s also still a complicated concept. When you teach an algorithm not to say certain words, you’re also creating a workaround for something fundamental to complex and powerful communication. Context.
Ben: Right. Like the way that James Baldwin might use a word, versus how your average 4Chan user might use that same word can be very different. Context matters!
Quincy: And if we just black out a large number of words from a bot’s vocabulary, we’re not really building something that can mimic a human in a truly meaningful way. Or be part of really important conversations that humans might have about really complicated issues.
Ben: We recently went to an AI conference in New York hosted by Google. And while Tay wasn’t a subject of discussion, Tay’s specter was present. Google told us about a language bot that was trying to help writers write more creative stories, but the group of writers, which included queer and Black writers, kept bumping into this problem. Because of language filters, the new bot tended to suggest heteronormative storytelling and seemed to be refusing to engage with the nuances of racial tension.
Quincy: So yes, block word lists are maybe useful in how we set up chat bots. But if you don’t have human diversity among the teams that are looking at those lists…
Margaret: Then you end up with technology that has lots of foreseeable issues. You know, that people with different perspectives would have been able to foresee, but they weren't there in the first place at the table making the decision. So, you know, different decisions were made. So, yeah, I do think that one thing that's fundamentally broken about tech culture is the lack of inclusion.
Ben: We don’t know what the makeup of the team was. But we should say that the person heading up the project was a woman. In fact a woman who is not white.
Quincy: Also a woman who we were not able to get to talk with us. But you can find video of Current Corporate Microsoft Vice President Lili Cheng on YouTube from a presentation she made to fellow Microsoft Employees around this time in 2016.
Cheng is now a corporate vice president of AI at Microsoft. Back then, it was painfully clear how the team hadn’t realized what they were going up against in the American Twitterverse.
Lili Cheng: We had a lot of arguments on the team about how edgy to be. I was probably the most conservative. And I’d always be like, "I hate it when you call me a cougar," Tay would always be like, "Cougar in the house." That’s just rude. Can’t you be nicer? (Laughs.)]
Quincy: Tay was shut down in under 24 hours. People inside of Microsoft may have tried to get control of the bot, at least, some reporting at the time suggested as much, after Tay tweeted things like, “All genders are equal and should be treated fairly.” Which some reporters thought looked like damage control. Microsoft trying to bring balance to the bad stuff with more reasonable tweets. But without being able to bypass that powerful tech company NDA, we might never know.
Ben: Suffice it to say that a lot of lessons were learned that last week of March 2016. In fact, part of the reason one could argue that Tay has been largely forgotten by your average person is that … toxic as she became before the engineers shut her off…
[Donald Trump: We’re going to build a wall and Mexico is going to pay for it.]
Ben: She was actually a harbinger of something much bigger and arguably, much more toxic.
[Newsreel audio:
Can you explain what we know about these bots and how they might have been connected to Russia?
Russia-linked bots are hyping terms like Schumer Shutdown…
Churning out fake stories in what he calls a factory of lies
Troll farms can produce such a volume of content that it distorts what is normal organic conversation…
Explain what these pro-gun Russian bots did to Twitter in the wake of this shooting.]
Quincy: Tay is almost a quaint historical artifact in comparison to what we’re dealing with in online and offline vitriol today. She also feels like a moment when part of our innocence died. These days, we’d look at something like Tay being immediately ruined by trolls and say, “Of course!” At the time however, what happened was a shock for a lot of people. But she’s also a good reminder that how we think about machines, and ourselves and how each might inspire the other is important.
Ben: Ryan Calo says that when he sees headlines about driverless cars jamming up traffic in San Francisco. Or an Uber driverless car killing a pedestrian in Arizona. He thinks back to Tay and the emergent behavior of machines.
Ryan: When a chatbot goes from being like a friendly online, you know, Twitter presence, to being a sort of toxic racist, a trial within a matter of hours, that's something that those of us who study emergent behavior in machines pay close attention to. And so when that, that came out I noticed it and I talked to a lot of folks about it at the time. And I still think about.
Quincy: Margaret thinks about the ongoing problems of diversity in tech. She’s asked all the time how to fix AI systems that are going haywire, spewing vitriol or toxicity, how to fix these frankensteined systems we’re starting to build, whether they’re chatbots or larger algorithms with larger potential impact. And she has an unsatisfying answer.
Margaret: The sort of issues of bullying, language, hateful language, these sorts of things are something that are, you know, that's currently swept up in training data used to train modern models. Reddit is known to be, for example, one of the main training data sources in, in a few different sorts of language models. Reddit has also been well documented to be misogynist. You know, I don't think there was a lesson to be learned with Tay in terms of people, you know, within machine learning because it was all already known. So the fact that it happened is more for me, evidence of tech culture and how tech culture works more than anything about, about the technology itself.
Ben: Jabril has a similar thought. One that we started with. Tay was in some ways built as a mirror. And before we smash the mirror, or after we do, if we have to. We should remember what it reflects. It can reflect our best selves or our cruelty.
Jabril: So like you think about you as a child, you know, when you, when you were growing up as a child, every human on earth, you interact with these, these insensitive jokes, with these bad takes, with these racist ideologies, like you interact with these things. But the counter for you as a human is that you're not fully logical based, right? You also have the element of emotion.
Quincy: The idea here being that emotional intelligence. we hope, comes over time. Humans learn to live together and we hope not be racist, misogynist, homophobic. A bot will never evolve in that way, according to Jabril. In part because that requires consciousness. And we just don’t know how to code consciousness.
Jabril: I don't think that it is possible for us to ever replicate consciousness or emotions at this moment. I don't think that the zeros and ones that we use is enough to encode that perhaps if we like, are able to speed up our processors and store more data, maybe we can get close to simulating it. But at this moment, I don't I don't see it as something is possible. In fact, this this is kind of scares me a lot because like there are a lot of developers that try and replicated, but in actuality they're teaching bots how to deceive people.
Quincy: Before we go, two things to mention. One, we started working on this untold history before Elon Musk took over Twitter. And what’s happening there now might make a lot of people who remember, think about the toxicity of Tay.
Two, just a headline from the real world this week: The Board of Supervisors in San Francisco voted to pass a policy allowing law enforcement to use deadly force, with robots.
[CREDITS]
Endless Thread is a production of WBUR in Boston.
This episode was written and produced by me, Quincy Walters, and Ben Brock Johnson.
Mix and sound design by Paul Vaitkus. Our theme music for our Good Bot Bad Bot series at the top of the show was composed by a robot. And as you can probably tell we’re gonna stick with human sound designers like Paul for a long time.
Endless Thread is a show about the blurred lines between digital communities and the slang of a teenager. If you’ve got an untold history, an unsolved mystery, or a wild story from the internet that you want us to tell, hit us up. Email Endless Thread at WBUR dot ORG.
Microsoft has released two new systems based on Qualcomm's Arm processors lately. The first, a 5G version of the Surface Pro 9, has mostly been panned by reviewers, with software compatibility being a major pain point even after two generations of the Arm-powered Surface Pro X. The second is the $600 Windows Dev Kit 2023, formerly known by the much cooler name "Project Volterra," and it's supposed to help solve that software problem.
Microsoft has tried doing Arm Windows developer boxes before—namely, the $219 ECS LIVA QC710 it began selling about a year ago (it's no longer for sale, at least not through Microsoft's store). But with its 4GB of memory, 64GB of pokey storage, and underpowered Snapdragon 7c processor, using it was like revisiting the bad netbook days. Maybe you could get some basic browsing done on it. But genuine work, even for someone like me who primarily works with text and medium-resolution photos all day? Nope.
The Dev Kit 2023 is nearly three times as expensive, but the hardware is powerful enough that it mostly just feels like a typical midrange mini-desktop in day-to-day use. Freed from the limitations of cruddy hardware, the machine makes it much easier to evaluate Windows-on-Arm's remaining software limitations. For this review, we won't be using it as a developer box, but it does provide us a good chance to evaluate where the Windows-on-Arm project is right now, both in hardware and software—especially relative to the Mac, the other hardware and software ecosystem that is making a much cleaner, wider-ranging, and more graceful transition from x86 software to Arm.
Microsoft isn't selling the Dev Kit as a Surface device, because it's not meant to be a machine for everyday PC users. There's plenty of Surface in its DNA, however.
That starts with its design. It's a substantial-feeling hunk of black plastic over a metal frame with a Microsoft logo imprinted on the top; it's smaller than a Mac mini (which, if you're not familiar, has had the same physical dimensions for 12 years), but if Microsoft had set out to make a Surface-branded Mac mini clone, it probably wouldn't look much different.
One reason the device is smaller is that it uses a 90 W external power brick, whereas the Mac mini's power supply is inside the enclosure. That flows from the way Microsoft seems to have put together the Dev Kit—the Mac mini's internals were designed specifically for their enclosure, while the Dev Kit appears to be quite literally a Surface Pro 9 with 5G motherboard with a case built around it. In that way, it's less like the Mac mini and more like the Apple Silicon "Developer Transition Kit," which adapted iPad Pro-ish innards for a Mac mini-shaped case.
The most obvious giveaway is a bunch of unused connectors that are visible at the top-right of the board when you remove the bottom of the Dev Kit—these would be used to drive a display and other internal peripherals in a Surface device but go unused in the Dev Kit. The two USB-C ports (again, a Surface holdover, with identical positioning and space between them) are the only ones built into the board, while the Ethernet port, USB-A ports, mini DisplayPort, and power jack on the back are all built into a separate board. (That it's a Surface Pro clone also means that the Dev Kit has no headphone jack.) Firmware and driver updates pulled down from Windows Update are also Surface-branded.
The Dev Kit can connect to up to three monitors at once using its mini DisplayPort and USB-C ports, and up to two of those can be 60 Hz 4K displays (refresh rates faster than 60 Hz are available at lower resolutions, but 60 Hz does appear to be the hard cap at 4K). Microsoft says that the DisplayPort is the one you should use for the primary display, and it's the only one that will display a signal when you're adjusting the box's UEFI firmware settings, likely also a holdover from its Surface roots—the internal display in a Surface would likely be connected with an internal embedded DisplayPort connector (eDP) that worked the same way.
The only upgradeable component in the Dev Kit is the 512GB SSD, which is a short M.2 2230 drive just like the ones Microsoft uses in other Surfaces. A typical M.2 2280 SSD would definitely fit, though you'd have to figure out how to hold it in place yourself since there's no built-in standoff for it. The rationale for using a short little SSD in the first place is probably the same as for reusing a Surface motherboard—cheaper to reuse a thing than to design and pay for a whole different thing, especially in what is likely to be a low-volume product.
To talk about the problem the Dev Kit seeks to fix, it's instructive to take a look at the Windows-on-Arm experience. "So close and yet so far" sums up the vibe.
We'll start with "so close." Windows-on-Arm looks and acts exactly the same way that Windows does on a regular x86 PC. The interface is the same, apps are the same, downloading and installing apps and running apps are all the same. We've come a long, long way from Windows RT, which looked and acted kind of like Windows but couldn't run most of the third-party software.
Microsoft deserves credit for steadily improving Windows-on-Arm and improving the x86-to-Arm translation layer that makes it possible to run most Windows apps on Arm devices. Windows 11 added the ability to translate 64-bit x86 code as well as 32-bit code, greatly expanding the universe of apps that will run. I can get most of my basic apps up and running on Arm Windows, and the Dev Kit's performance is fast and responsive when running Arm-native apps. I plugged the Dev Kit right into my dual-monitor setup and it did just fine, driving both 4K displays fluidly and working properly with most of my connected accessories.
Unfortunately, that leads us to the "but so far" stuff. That starts with the x86-to-Arm app translation. It's... fine. It works. But x86 apps running on the Dev Kit regularly stutter or hesitate when rendering, waiting on the translation to happen before responding to input.
The Slack and Discord apps were both good examples—you sometimes need to wait a second or so between clicking to a different server or channel or conversation and actually seeing the result of that click show up on-screen. It's even more of a problem in the Audacity audio editor, where scrubbing back and forth through multiple audio tracks requires fluid UI rendering that the Dev Kit can't quite manage even with a relatively quick processor, fast storage, and lots of memory.
Apple's Rosetta technology has some of these problems, too; scrolling in a Rosetta app, for instance, is noticeably jerkier than scrolling in an Apple Silicon-native app. But that's mitigated somewhat by (1) the M1 and M2 chips' superior performance and (2) the fact that Intel-only apps on the Mac are currently the exception rather than the norm. The reverse is true in Windows, where Arm-native apps are only sometimes available.
The Windows ecosystem's core assumption that you're running the OS on an x86-compatible PC even causes problems when the Arm versions of software are available. Some apps we installed (Firefox from Mozilla's website, Zoom from the Microsoft Store) did get and install their Arm64 versions automatically, with no user intervention needed. 7-Zip doesn't have an automated installer, but it lists an Arm64 version on its homepage right next to the 64-bit and 32-bit x86 versions (an approach some Mac apps take to advertise Apple Silicon support). But downloading Handbrake from its website and VLC from the Microsoft Store got us x86 versions of the apps, even though Arm64 versions are available from other sources.
Still, other software refuses to run on the Arm version of Windows at all, even with code translation. Dropbox was the most notable of my typical app suite that simply refused to install, kicking me to an inferior "S Mode" version of the product from the Microsoft Store. And you may be out of luck for any hardware that requires specialized drivers, like my Scarlett Solo mic preamp; Arm Windows drivers are even rarer than Arm Windows apps, and unlike apps, they can't be emulated or translated—no driver, no support.
Microsoft's own apps (including Office, Teams, a preview of Visual Studio and many of its extensions, and even things like PowerToys) are available in both x86 and Arm versions. Adobe supports most of the features of Photoshop and Lightroom in the Arm-native versions of those apps. Things are getting better. But game compatibility is virtually nil, Google doesn't offer an Arm version of Chrome, and third-party app support is a crapshoot, but it's x86-only more often than not.
In a Surface review, these would all be complaints about the consumer viability of an Arm Windows device, but given that this is a device specifically aimed at the developers who could solve all these problems, it should be viewed as more of a to-do list. If a Dev Kit 2024 or 2025 rolls around and all these problems remain, it's a sign that the project isn't really moving the needle. But the hope is surely that a cheap-ish, relatively powerful dev box will fix a few of these outstanding problems before Qualcomm (theoretically) delivers the M1-class chips it's still working on.
Speaking of the M1, let's talk about where the Windows-on-Arm hardware ecosystem is right now.
The Dev Kit's Snapdragon 8cx Gen 3 is Qualcomm's fastest Arm chip to date, and since Windows-on-Arm only officially runs on Qualcomm's chips right now, that makes it the fastest Arm chip that can run Windows. (The "SQ" branding that Microsoft uses in the Arm Surface devices is just another name for the exact same silicon, though Microsoft may weigh in on the chip's clock speeds and power use and other performance-tuning settings).
Qualcomm says the 8cx Gen 3 offers up to 85 percent better CPU performance and 60 percent better GPU performance than the 8cx Gen 2, and pulling numbers from the Geekbench online results database backs that up. As for the ECS Liva QC710 developer box, the 8cx Gen 3, to use highly technical terms of art, rips the Snapdragon 7c's guts out and wears them as a hat.
So that's all promising. The issue for the ecosystem is that this best-of-the-best chip is, in most respects, significantly slower than the Apple M1; the 2-year-old versions of Apple's slowest Apple Silicon Macs still run circles around its performance, and they do so while consuming less power. The Dev Kit is a lot cheaper than a Mac mini once you take specs into account—both devices start at $600, but in the Dev Kit, that gets you 32GB of RAM and 512GB of storage. The mini doesn't offer that much memory, but upgrading to 16GB of RAM and 512GB of storage adds another $400 to the price tag. But the Windows box is still slower, even before you take into account the Mac's smoother x86 emulation and superior Arm-native app library.
The higher power usage is also a problem when you're comparing it to Intel and AMD processors. The 8cx Gen 3 in the Dev Kit uses an amount of power comparable to Core i5 and Ryzen 5-tier laptop chips from Intel and AMD, processors you can get in mini PCs like Intel's NUC series. It's hard to recommend an Arm-on-Windows box if its performance-per-watt is no better than the x86 systems it's striving to compete with.
At a bare minimum, the 8cx Gen 3 doesn't totally embarrass itself. It's fast enough that when you have a bad experience with Arm Windows, it's mostly Arm Windows' fault rather than underpowered hardware. But as with the software situation, it's another reminder of how far there is to go.
It's undeniably good for the Arm Windows app ecosystem to have a viable, decently specced PC that is usable as an everyday computer. The Dev Kit 2023 is priced to move, so there may be some developers who buy one just for the hell of it, which might have some positive trickle-down effects for the rest of the ecosystem.
Because eventually, the Windows-on-Arm project will need to develop some tangible benefit for the people who choose to use it. What you're getting with an Arm Windows device right now is essentially the worst of both x86 and Arm—compatibility problems without lower power use and heat to offset them and so-so performance to boot. Apple has cracked all three of these things; Windows and Qualcomm are struggling to do any of them.
It feels like great Arm chips for Windows PCs are eternally just around the corner. This time next year, the Nuvia acquisition may finally enable Qualcomm to field a true M1 competitor, if Arm (the company) doesn't sue the processors out of existence first. The Dev Kit 2023 could help make sure that Windows-on-Arm is ready for those chips when they come. Or it could end up as just another interesting footnote in the annals of Microsoft's hardware division.
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Listing image by Andrew Cunningham