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txt.sour.is

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In-reply-to » Whelp. The suckification of social media is continuing to expand. Twitter only allows 600 tweets per day unless you pay and then its 6k per day.

yeah.. i guess he upped that… but scrolling for a bit can burn through that quite quickly.

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In-reply-to » been using the iphone for some days now, and I must say im impressed. I really like it. I will not buy android phone ever again.

If you are going to compare iPhone with android you can’t just throw out bargan bin android phones.. Should compare within the same price points like the Pixel, Galaxy, Pine, or OnePlus models.

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In-reply-to » been using the iphone for some days now, and I must say im impressed. I really like it. I will not buy android phone ever again.

Funny.. I would never buy an iPhone again. My wife switched back this last phone update and I can’t stand the interface.

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An official FBI document dated January 2021, obtained by the American association “Property of People” through the Freedom of Information Act.

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This document summarizes the possibilities for legal access to data from nine instant messaging services: iMessage, Line, Signal, Telegram, Threema, Viber, WeChat, WhatsApp and Wickr. For each software, different judicial methods are explored, such as subpoena, search warrant, active collection of communications metadata (“Pen Register”) or connection data retention law (“18 USC§2703”). Here, in essence, is the information the FBI says it can retrieve:

  • Apple iMessage: basic subscriber data; in the case of an iPhone user, investigators may be able to get their hands on message content if the user uses iCloud to synchronize iMessage messages or to back up data on their phone.

  • Line: account data (image, username, e-mail address, phone number, Line ID, creation date, usage data, etc.); if the user has not activated end-to-end encryption, investigators can retrieve the texts of exchanges over a seven-day period, but not other data (audio, video, images, location).

  • Signal: date and time of account creation and date of last connection.

  • Telegram: IP address and phone number for investigations into confirmed terrorists, otherwise nothing.

  • Threema: cryptographic fingerprint of phone number and e-mail address, push service tokens if used, public key, account creation date, last connection date.

  • Viber: account data and IP address used to create the account; investigators can also access message history (date, time, source, destination).

  • WeChat: basic data such as name, phone number, e-mail and IP address, but only for non-Chinese users.

  • WhatsApp: the targeted person’s basic data, address book and contacts who have the targeted person in their address book; it is possible to collect message metadata in real time (“Pen Register”); message content can be retrieved via iCloud backups.

  • Wickr: Date and time of account creation, types of terminal on which the application is installed, date of last connection, number of messages exchanged, external identifiers associated with the account (e-mail addresses, telephone numbers), avatar image, data linked to adding or deleting.

TL;DR Signal is the messaging system that provides the least information to investigators.

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In-reply-to » I never paid a lot of attention to Ben Shapiro before, but what he says is so transparently asinine it boggles the senses. You really have to have a Fox-addled mind to believe that the search for the submersible was completely faked and that the powers-that-be knew the entire time that it had imploded. To believe that a vast conspiracy among hundreds, thousands (?) of people from several countries and spanning several days was orchestrated to lie to the public in order to.....uh, achieve what exactly? "Undermine institutional credibility"? What does that even mean?

Ol Ben sets himself up as an intellectual for the right. He got promoted up with his connections with PragerU. Talks like he is the smartest one in the room. Though his arguments are full of logical fallacies. He is up there with Joe Rogan and the ilk destroying rational though in America.

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In-reply-to » Home | Tabby This is actually pretty cool and useful. Just tried this on my Mac locally of course and it seems to have quite good utility. What would be interesting for me would be to train it on my code and many projects 😅

@prologic@twtxt.net The hackathon project that I did recently used openai and embedded the response info into the prompt. So basically i would search for the top 3 most relevant search results to feed into the prompt and the AI would summarize to answer their question.

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In-reply-to » Home | Tabby This is actually pretty cool and useful. Just tried this on my Mac locally of course and it seems to have quite good utility. What would be interesting for me would be to train it on my code and many projects 😅

But remember the LLM is only a very good auto complete.

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In-reply-to » Home | Tabby This is actually pretty cool and useful. Just tried this on my Mac locally of course and it seems to have quite good utility. What would be interesting for me would be to train it on my code and many projects 😅

Most of the can run locally have such a small training set they arnt worth it. Are more like the Markov chains from the subreddit simulator days.

There is one called orca that seems promising that will be released as OSS soon. Its running at comparable numbers to OpenAI 3.5.

https://youtube.com/watch?v=Dt_UNg7Mchg&feature=share9

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