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Cryptocat author gets insanely fast backing to build P2P tech for social media

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The idea for Capsule started with a tweet about reinventing social media.

A day later cryptography researcher, Nadim Kobeissi — best known for authoring the open-source E2E-encrypted desktop chat app Cryptocat (now discontinued) — had pulled in a pre-seed investment of $100,000 for his lightweight mesh-networked microservices concept, with support coming from angel investor and former Coinbase CTO Balaji Srinivasan, William J. Pulte and Wamda Capital.

The nascent startup has a post-money valuation on paper of $10 million, according to Kobeissi, who is working on the prototype — hoping to launch an MVP of Capsule in March (as a web app), after which he intends to raise a seed round (targeting $1 million-$1.5 million) to build out a team and start developing mobile apps.

For now there’s nothing to see beyond Capsule’s landing page and a pitch deck (which he shared with TechCrunch for review). But Kobeissi says he was startled by the level of interest in the concept.

“I posted that tweet and the expectation that I had was that basically 60 people max would retweet it and then maybe I’ll set up a Kickstarter,” he tells us. Instead the tweet “just completely exploded” and he found himself raising $100,000 “in a single day” — with $50,000 paid in there and then.

“I’m not a startup guy. I’ve been running a business based on consulting and based on academic R&D services,” he continues. “But by the end of the day — last Sunday, eight days ago — I was running a Delaware corporation valued at $10 million with $100,000 in pre-seed funding, which is insane. Completely insane.”

Capsule is just the latest contender for retooling Internet power structures by building infrastructure that radically decentralizes social platforms to make speech more resilient to corporate censorship and control.

The list of decentralized/P2P/federated protocols and standards already out there is very long — even while usage remains low. Extant examples include ActivityPub, Diaspora, Mastodon, P2P Matrix, Scuttlebutt, Solid and Urbit, to name a few.

Interest in the space has been rekindled in recent weeks after mainstream platforms like Facebook and Twitter took decisions to shut down U.S. President Donald Trump’s access to their megaphones — a demonstration of private power that other political leaders have described as problematic.

Kobeissi also takes that view, while adding the caveat that he’s not “personally” concerned about Trump’s deplatforming. But he says he is concerned about giant private corporations having unilateral power to shape internet speech — whether takedown decisions are being made by Twitter’s trust and safety lead or Amazon Web Services (which recently yanked the plug on right-wing social network Parler for failing to moderate violent views).

He also points to a lawsuit that’s been filed in U.S. court seeking damages and injunctive relief from Apple for allowing Telegram, a messaging platform with 500 million+ users, to be made available through its iOS App Store — “despite Apple’s knowledge that Telegram is being used to intimidate, threaten and coerce members of the public” — raising concerns about “the odds of these efforts catching on.”

“That is kind of terrifying,” he suggests.

Capsule would seek to route around the risk of mass deplatforming via “easy to deploy” P2P microservices — starting with a forthcoming web app.

“When you deploy Capsule right now — I have a prototype that does almost nothing running — it’s basically one binary. And you get that binary and you deploy it and you run it, and that’s it. It sets up a server, it contacts Let’s Encrypt, it gets you a certificate, it uses SQLite for the database, which is a serverless database, all of the assets for the web server are within the binary,” he says, walking through the “really nice technical idea” that snagged $100,000 in pre-seed backing insanely fast.

“There are no other files — and then once you have it running, in that folder when you set up your capsule server, it’s just the Capsule program and a Capsule database that is a file. And that’s it. And that is so self-contained that it’s embeddable everywhere, that’s migratable — and it’s really quite impossible to get this level of simplicity and elegance so quickly unless you go this route. Then, for the mesh federation thing, we’re just doing HTTPS calls and then having decentralized caching of the databases and so on.”

Among the Twitter back-and-forth about how (or whether) Kobeissi’s concept differs to various other decentralized protocols, someone posted a link to this XKCD cartoon — which lampoons the techie quest to resolve competing standards by proposing a tech that covers all use cases (yet is of course doomed to increase complexity by +1). So given how many protocols already offer self-hosted/P2P social media services it seems fair to ask what’s different here — and, indeed, why build another open decentralized standard?

Kobeissi argues that existing options for decentralizing social media are either: (a) not fully P2P (Mastodon is “self-hosted but not decentralized,” per a competitive analysis on Capsule’s pitch deck, ergo its servers are “vulnerable to Parler-style AWS takedowns”); or (b) not focused enough on the specific use case of social media (some other decentralized protocols like Matrix aim to support many more features/apps than social media and therefore can’t be as lightweight is the argument); or (c) simply aren’t easy enough to use to be more than a niche geeky option.

He talks about Capsule having the same level of focus on social media as Signal does on private messaging, for example — albeit intending it to support both short-form “tweet”-style public posts and long-form Medium-style postings. But he’s vocal about not wanting any “bloat.”

He also invokes Apple’s “design for usability” philosophy. Albeit, it’s a lot easier to say you want to design something that “just works” versus actually pulling off effortless mainstream accessibility. But that’s the bar Kobeissi is setting himself here.

“I always imagine Glenn Greenwald when I think of my user,” he says on the usability point, referring to the outspoken journalist and Intercept co-founder who recently left to launch his own newsletter-based offering on Substack. “He’s the person I see setting this up. Basically the way that this would work is he’d be able to set this up or get someone to set it up really easily — I think Capsule is going to offer automated deployments as also a way to make revenue, by the way, i.e., for a bit extra we deploy the server for you and then you’re self-hosting but we also make a margin off of that — but it’s going to be open source, you can set it up yourself as well and that’s perfectly okay. It’s not going to be hindered at all in that sense.

“In the case of Capsule, each content creator has their own website — has their own address, like Capsule.Greenwald.com — and then people go there and their first discovery of the mesh is through people that they’re interested in hearing from.”

Individual Capsules would be decentralized from the risk of platform-level censorship since they’d be beyond the reach of takedowns by a single centralizing entity. Although they would still be hosted on the web — and therefore could be subject to a takedown by their own web host. That means illegal speech on Capsule could still be removed. However there wouldn’t be a universal host that could be hit up with the risk of a whole platform being taken down at a sweep — as Parler just was by AWS.

“For every takedown it is entirely between that Capsule user and their hosting provider,” says Kobeissi. “Capsule users are going to have different hosting providers that they’re able to choose and then every time that there is a takedown it is going to be a decision that is made by a different entity. And with a different — perhaps — judgement, so there isn’t this centralized focus where only Amazon Web Services decides who gets to speak or only Twitter decides.”

And while the business of web hosting at platform giant level involves just a handful of cloud hosting giants able to offer the required scalability, he argues that that censorship-prone market concentration goes away once you’re dealing with scores of descentralized social media instances.

“We have the big hosting providers — like AWS, Azure, Google Cloud — but aside from that we have a lot of tiny hosting providers or small businesses … Sure if you’re running a big business you do get to focus on these big providers because they allow you to have these insane servers that are very powerful and deployable very easily but if you’re running a Capsule instance, as a matter of fact, the server resource requirements of running a Capsule instance are generally speaking quite small. In most instances tiny.”

Content would also be harder to scrub from Capsule because the mesh infrastructure would mean posts get mirrored across the network by the poster’s own followers (assuming they have any). So, for example, reposts wouldn’t just vanish the moment the original poster’s account was taken down by their hosting provider.

Separate takedown requests would likely be needed to scrub each reposted instance, adding a lot more friction to the business of content moderation versus the unilateral takedowns that platform giants can rain down now. The aim is to “spare the rest of the community from the danger of being silenced,” as Kobeissi puts it.

Trump’s deplatforming does seem to have triggered a major penny-dropping moment for some that allowing a handful of corporate giants to own and operate centralized mass communication machines isn’t exactly healthy for democratic societies as this unilateral control of infrastructure gives them the power to limit speech. (As, indeed, their content-sorting algorithms determine reach and set the agenda of much public debate.)

Current social media infrastructure also provides a few mainstream chokepoints for governments to lean on — amplifying the risk of state censorship.

With concerns growing over the implications of platform power on data flows — and judging by how quickly Kobeissi’s tweet turned heads — we could be on the cusp of an investor-funded scramble to retool internet infrastructure to redefine where power (and data) lies.

It’s certainly interesting to note that Twitter recently reupped its own decentralized social media open standard push, Bluesky, for example. It obviously wouldn’t want to be left behind any such shift.

“It seems to really have blown up,” Kobeissi adds, returning to his week-old Capsule concept. “I thought when I tweeted that I was maybe the only person who cared. I guess I live in France so I’m not really in tune with what’s going on in the U.S. a lot — but a lot of people care.”

“I am not like a cypherpunk-style person these days, I’m not for full anonymity or full unaccountability online by any stretch,” he adds. “And if this is abused then sincerely it might even be the case that we would encourage — have a guidelines page — for hosting providers like on how to deal with instances of someone hosting an abusive Capsule instance. We do want that accountability to exist. We are not like a full-on, crazy town ‘free speech’ wild west thing. We just think that that accountability has to be organic and decentralized — just as originally intended with the internet.”

TechCrunch

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OpenAI Introduces ChatGPT Plus with Monthly Subscription of $20

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Open AI - Chat GPT

OpenAI, the leading artificial intelligence research laboratory, has launched a new product – ChatGPT Plus. The new product is an advanced version of its previous language model, ChatGPT, and is available for a monthly subscription of $20. The company aims to provide a more sophisticated and efficient conversational AI tool to its users through this new product.

ChatGPT Plus is a state-of-the-art language model that uses advanced deep learning algorithms to generate human-like responses to text inputs. The model has been trained on a massive corpus of text data, allowing it to generate coherent and contextually relevant responses. The model is designed to handle a wide range of conversational topics and can be integrated into various applications, such as chatbots, customer support systems, and virtual assistants.

One of the main advantages of ChatGPT Plus over its predecessor, ChatGPT, is its ability to generate responses in a more human-like manner. The model has been fine-tuned to incorporate more advanced language processing techniques, which enable it to better understand the context and tone of a conversation. This makes it possible for the model to generate more nuanced and appropriate responses, which can greatly improve the user experience.

In addition to its advanced language processing capabilities, ChatGPT Plus also offers improved performance in terms of response generation speed and efficiency. The model has been optimized to run on faster hardware and has been fine-tuned to generate responses more quickly. This makes it possible for the model to handle a larger volume of requests, making it an ideal solution for businesses with high traffic websites or customer support centers.

The monthly subscription fee of $20 for ChatGPT Plus makes it an affordable solution for businesses of all sizes. The company has designed the pricing model in such a way that it is accessible to businesses of all sizes, regardless of their budget. This makes it possible for small businesses to take advantage of advanced conversational AI technology, which can greatly improve their customer engagement and support.

OpenAI has also made it easy to integrate ChatGPT Plus into various applications. The company has provided a comprehensive API that allows developers to easily integrate the model into their applications. The API supports a wide range of programming languages, making it possible for developers to use the technology regardless of their preferred programming language. This makes it possible for businesses to quickly and easily incorporate conversational AI into their operations.

In conclusion, OpenAI’s launch of ChatGPT Plus is a significant development in the field of conversational AI. The new product offers advanced language processing capabilities and improved performance, making it an ideal solution for businesses of all sizes. The affordable pricing model and easy integration make it accessible to businesses of all sizes, and the advanced language processing capabilities make it possible for businesses to improve their customer engagement and support. OpenAI’s ChatGPT Plus is set to revolutionize the conversational AI industry and bring advanced technology within the reach of businesses of all sizes.

Visit OpenAI.com to read more and to get the latest news about ChatGPT.

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What can ChatGPT do?

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ChatGPT Explained

ChatGPT is a large language model developed by OpenAI that is trained on a massive amount of text data. It is capable of generating human-like text and has been used in a variety of applications, such as chatbots, language translation, and text summarization.

One of the key features of ChatGPT is its ability to generate text that is similar to human writing. This is achieved through the use of a transformer architecture, which allows the model to understand the context and relationships between words in a sentence. The transformer architecture is a type of neural network that is designed to process sequential data, such as natural language.

Another important aspect of ChatGPT is its ability to generate text that is contextually relevant. This means that the model is able to understand the context of a conversation and generate responses that are appropriate to the conversation. This is accomplished by the use of a technique called “masked language modeling,” which allows the model to predict the next word in a sentence based on the context of the previous words.

One of the most popular applications of ChatGPT is in the creation of chatbots. Chatbots are computer programs that simulate human conversation and can be used in customer service, sales, and other applications. ChatGPT is particularly well-suited for this task because of its ability to generate human-like text and understand context.

Another application of ChatGPT is language translation. By training the model on a large amount of text data in multiple languages, it can be used to translate text from one language to another. The model is able to understand the meaning of the text and generate a translation that is grammatically correct and semantically equivalent.

In addition to chatbots and language translation, ChatGPT can also be used for text summarization. This is the process of taking a large amount of text and condensing it into a shorter, more concise version. ChatGPT is able to understand the main ideas of the text and generate a summary that captures the most important information.

Despite its many capabilities and applications, ChatGPT is not without its limitations. One of the main challenges with using language models like ChatGPT is the risk of generating text that is biased or offensive. This can occur when the model is trained on text data that contains biases or stereotypes. To address this, OpenAI has implemented a number of techniques to reduce bias in the training data and in the model itself.

In conclusion, ChatGPT is a powerful language model that is capable of generating human-like text and understanding context. It has a wide range of applications, including chatbots, language translation, and text summarization. While there are limitations to its use, ongoing research and development is aimed at improving the model’s performance and reducing the risk of bias.

** The above article has been written 100% by ChatGPT. This is an example of what can be done with AI. This was done to show the advanced text that can be written by an automated AI.

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Google December Product Reviews Update Affects More Than English Language Sites? via @sejournal, @martinibuster

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Google’s Product Reviews update was announced to be rolling out to the English language. No mention was made as to if or when it would roll out to other languages. Mueller answered a question as to whether it is rolling out to other languages.

Google December 2021 Product Reviews Update

On December 1, 2021, Google announced on Twitter that a Product Review update would be rolling out that would focus on English language web pages.

The focus of the update was for improving the quality of reviews shown in Google search, specifically targeting review sites.

A Googler tweeted a description of the kinds of sites that would be targeted for demotion in the search rankings:

“Mainly relevant to sites that post articles reviewing products.

Think of sites like “best TVs under $200″.com.

Goal is to improve the quality and usefulness of reviews we show users.”

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Google also published a blog post with more guidance on the product review update that introduced two new best practices that Google’s algorithm would be looking for.

The first best practice was a requirement of evidence that a product was actually handled and reviewed.

The second best practice was to provide links to more than one place that a user could purchase the product.

The Twitter announcement stated that it was rolling out to English language websites. The blog post did not mention what languages it was rolling out to nor did the blog post specify that the product review update was limited to the English language.

Google’s Mueller Thinking About Product Reviews Update

Screenshot of Google's John Mueller trying to recall if December Product Review Update affects more than the English language

Screenshot of Google's John Mueller trying to recall if December Product Review Update affects more than the English language

Product Review Update Targets More Languages?

The person asking the question was rightly under the impression that the product review update only affected English language search results.

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But he asserted that he was seeing search volatility in the German language that appears to be related to Google’s December 2021 Product Review Update.

This is his question:

“I was seeing some movements in German search as well.

So I was wondering if there could also be an effect on websites in other languages by this product reviews update… because we had lots of movement and volatility in the last weeks.

…My question is, is it possible that the product reviews update affects other sites as well?”

John Mueller answered:

“I don’t know… like other languages?

My assumption was this was global and and across all languages.

But I don’t know what we announced in the blog post specifically.

But usually we try to push the engineering team to make a decision on that so that we can document it properly in the blog post.

I don’t know if that happened with the product reviews update. I don’t recall the complete blog post.

But it’s… from my point of view it seems like something that we could be doing in multiple languages and wouldn’t be tied to English.

And even if it were English initially, it feels like something that is relevant across the board, and we should try to find ways to roll that out to other languages over time as well.

So I’m not particularly surprised that you see changes in Germany.

But I also don’t know what we actually announced with regards to the locations and languages that are involved.”

Does Product Reviews Update Affect More Languages?

While the tweeted announcement specified that the product reviews update was limited to the English language the official blog post did not mention any such limitations.

Google’s John Mueller offered his opinion that the product reviews update is something that Google could do in multiple languages.

One must wonder if the tweet was meant to communicate that the update was rolling out first in English and subsequently to other languages.

It’s unclear if the product reviews update was rolled out globally to more languages. Hopefully Google will clarify this soon.

Citations

Google Blog Post About Product Reviews Update

Product reviews update and your site

Google’s New Product Reviews Guidelines

Write high quality product reviews

John Mueller Discusses If Product Reviews Update Is Global

Watch Mueller answer the question at the 14:00 Minute Mark

[embedded content]Searchenginejournal.com

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