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Smarter, more efficient coding: GitHub Copilot goes beyond Codex with improved AI model
We’re thrilled to announce two major updates to GitHub Copilot Code Complete’s AI capabilities that will help developers work even more efficiently and effectively. ⌘ Read more

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How to responsibly adopt GitHub Copilot with the GitHub Copilot Trust Center
We’re launching the GitHub Copilot Trust Center to provide transparency about how GitHub Copilot works and help organizations innovate responsibly with generative AI. ⌘ Read more

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Exploring developer happiness, inclusion, and productivity at GitHub’s Design Conference
As a design organization, we have the opportunity to make a significant impact on designing the platform for all developers. How does the emergence of creative AI impact our work? How can we achieve an inclusive experience for a spectrum of all abilities? What does designing for developer happiness look like? ⌘ Read more

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A developer’s guide to prompt engineering and LLMs
Prompt engineering is the art of communicating with a generative AI model. In this article, we’ll cover how we approach prompt engineering at GitHub, and how you can use it to build your own LLM-based application. ⌘ Read more

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(De)coding conventions
Navigating the ebb and flow of programming paradigms–from the shifts in the JavaScript ecosystem and TypeScript’s rise, to AI’s role in advancing accessibility, and strategies for encouraging non-code contributions–tune in to the latest episode of The ReadME Podcast for more. ⌘ Read more

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The economic impact of the AI-powered developer lifecycle and lessons from GitHub Copilot
Today at Collision Conference we unveiled breaking new research on the economic and productivity impact of generative AI–powered developer tools. The research found that the increase in developer productivity due to AI could boost global GDP by over $1.5 trillion. ⌘ Read more

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Erlang Solutions: IoT Complexity Made Simple with the Versatility of Erlang and Elixir

Part A: Current Context and Challenges

The world is on the brink of a transformative industrial revolution known as Industry 4.0. This fourth industrial revolution is revolutionising our lives, work, and interactions on an unprecedented scale. The convergence of technology, Artificial Intelligence (AI), and the Internet of Things (IoT) has enabled highly sophisticated and interconnected systems. The … ⌘ Read more

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How to use GitHub Copilot: Prompts, tips, and use cases
In this prompt guide for GitHub Copilot, two GitHub developer advocates, Rizel and Michelle, will share examples and best practices for communicating your desired results to the AI pair programmer. ⌘ Read more

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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 😅

@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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Google Bard or BingGPT are actually quite useful to answer simple questions without having to scroll through many pages of clickbait and AI-generated babble blogposts. I’m currently preparing for the AWS exam (I finally signed up!) and Google Bard explained the differences between Cognito User Pools and Cognito Identity Pools in a simple and understandable way. Even with a tabular overview and examples how to use both services. Now my knowledge is refreshed again. 😄 ⌘ Read more

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How GitHub Copilot is getting better at understanding your code
With a new Fill-in-the-Middle paradigm, GitHub engineers improved the way GitHub Copilot contextualizes your code. By continuing to develop and test advanced retrieval algorithms, they’re working on making our AI tool even more advanced. ⌘ Read more

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I have not used AI much at all, I have not paid any attention to it. But today I decided to give stablediffusion a test run, I do only have a 1080 card, so it took some tweaking to output 512x256 images, and I must say it works pretty well. I also had to get one of the memory optimized versions. Fun to test.

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Selon l’expert en minières, Rick Rule : “La demande pour l’or peut grimper de 4 fois”
un article de Henry Bonner J’ai récemment enregistré un entretien avec un investisseur très suivi dans les minières et pétrolières aux États-Unis. Mon interlocuteur, Rick Rule, détient la plus grande position en actions sur Sprott Inc, un groupe qui gère plus de 10 milliards de dollars dans les ressources minières. Il explique ci-dessous pourquoi la […] ⌘ Read more

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RT by @mind_booster: so went and dig around to find out that Portugal is investing 77m in AI, from EU funds - that’s settled then - but it goes to 1 consortium of an AI company based in the States and to 1 other company. both of them are proud of their investors and investments
so went and dig around to find out that Portugal is investing 77m in AI, from EU funds - that’s settled then - but it goes to 1 consortium of an AI company based in the States and to 1 other company. both of them are proud of their investors a … ⌘ Read more

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“the secret list of websites”
Chris Coyier wrote a post mentioning a Washington Post article that analyzed which websites Google used to train its AI model. And it seems that both my blog and my website (I think I should merge them one day) are used. ⌘ Read more

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Mercado Libre : les signaux avant une hausse de 40 fois
un article de Henry Bonner Le mois dernier, j’ai parlé d’un analyste – Chris Mayer – qui tente de trouver les actions à croissance régulière et élevée sur une longue période. Le critère critique est une croissance récurrente et stable et pas un sursaut de nulle part, comme une société qui découvre une mine d’or, […] ⌘ Read more

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Google Bard is a bit too creative. In another chat, where I asked who “Jan-Lukas Else” is, it also said that I developed the “Quarkus programming language”. But this clearly shows the limitations of language models and the current state of AI. Just because the answers sound clever, they are not always right. ⌘ Read more

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GitHub Copilot X: The AI-powered developer experience
GitHub Copilot is evolving to bring chat and voice interfaces, support pull requests, answer questions on docs, and adopt OpenAI’s GPT-4 for a more personalized developer experience. ⌘ Read more

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Google Bard is a bit too creative. In another chat, where I asked who “Jan-Lukas Else” is, it also said that I developed the “Quarkus programming language”. But this clearly shows the limitations of language models and the current state of AI. Just because the answers sound clever, they are not always right. ⌘ Read more

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I’m currently validating the use of the OpenAI API as a cheaper and more powerful alternative to the Google Translate API. I hope my plans succeed and there will be a new GoBlog plugin with some AI power soon. ✨ So far the OpenAI API is quite easy to use, I thought it would be more complicated. Philipp is already using the API for his diary, another cool idea (which I may copy someday). ⌘ Read more

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10 things you didn’t know you could do with GitHub Codespaces
Unlock the full potential of GitHub Codespaces with these 10 tips and tricks! From generating AI images to running self-guided coding workshops, discover how to optimize your software development workflow with this powerful tool. ⌘ Read more

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Yet another AI application
AI is currently finding its way more and more into various software. There is ChatGPT, which sometimes feels like an all-knowing human, DeepL uses artificial intelligence not only for its translator, but also for its new tool that improves written text, or Bunny.net provides an API to generate images “on the edge”. ⌘ Read more

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RT by @mind_booster: O dia do #DomínioPúblico está quase, quase aí 😍
A @wikimediapt, a @ANSOL e a Biblioteca Nacional vão celebrar no dia 6 de janeiro e as inscrições já estão abertas:
https://pt.wikimedia.org/wiki/Dia_do_Dom%C3%ADnio_P%C3%BAblico_2023
href=”https://txt.sour.is/search?q=%23PublicDomainDay
”>#PublicDomainDay**
O dia do #DomínioPúblico está quase, quase aí 😍

A @wikimediapt, a @ANSOL e a Bib … ⌘ Read more

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Bio-méthane, hydrogène, éoliennes : ruée vers les “chimères”
Un article de Henry Bonner Le programme sur les émissions de carbone englobe tous les aspects de la vie. J’ai rejoint une journée au Lycée agricole, en Normandie, à la fin du mois dernier, au titre d’un rassemblement pour les clients d’une société de comptabilité agricole. La matinée a démarré avec un discours sur le […] ⌘ Read more

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Bunny AI
Bunny.net joined the AI hype and created “Bunny AI” (docs), AI images created on the edge. I tried it out, because it’s currently free during the preview, but somehow I don’t find the generated images aesthetic or I’m just to stupid to write better prompts. I guess the Bunny developers also need some distraction from time to time, because they are working hard on S3 support for Bunny Storage for years already. 🐰 ⌘ Read more

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OSI’s Deep Dive is an essential discussion on the future of AI and open source
GitHub is sponsoring Open Source Initiative’s Deep Dive: AI because we think it’s important for the community to unpack how open source software, process, and principles can help best deliver on the promise of AI. ⌘ Read more

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“If you don’t make it beautiful, it’s for sure doomed”: putting the Vault in GitHub’s Arctic Code Vault
GitHub this month installed a massive steel vault, etched with striking AI-generated art, deep within an Arctic mountain, finalizing its Arctic Code Vault. This vault contains the 188 reels of hardened archival film which will preserve the 02/02/202 snapshot of every active public GitHub repository for 1,000 years. It also now includes a … ⌘ Read more

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It seems quite unlikely to me that humans will cease to care about wealth after the singularity (15% maybe?), or that markets will cease to exist after the singularity (30% or sth). so the best investment strategy now for post-singularity scenarios is to invest broadly in the economy. not sure about divesting from AGI companies (bc they accelerate danger) or AI hardware companies (ditto)—they’re going to especially valuable post-singularity.

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GitHub Copilot is generally available to all developers
We’re making GitHub Copilot, an AI pair programmer that suggests code in your editor, generally available to all developers for $10 USD/month or $100 USD/year. It will also be free to use for verified students and maintainers of popular open source projects. ⌘ Read more

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“The problem with Marcus’ argument is that the only alternative to statistical AI is spiritual AI“ no what the fuck why would you say this did you even read the sequences i don’t even know where to start with that

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I really look forward to the next AI winter! We’ll all cozy up inside by the fireside in thick markov blankets, everyone finds a new agent foundations paper in their stocking, and we can listen to uncle Paul have his discussion with uncle Eliezer when the whole family re-unites…

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whether cryptocurrencies are more or less likely to be stable during a multipolar ai takeoff depends on whether our current cryptography is “endgame” or not, i.e. whether it’s in practice basically uncrackable by any advanced actor

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Clearview AI Offered Free Facial Recognition Trials To Police All Around The World
Clearview marketed its facial recognition system across Europe by offering free trials at police conferences, where it was often presented as a tool to help find predators and victims of child sex abuse. ⌘ Read more

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maybe elites appear incompetent because they’re mostly trying to prevent AI disaster behind the curtains? perhaps that’s why GPT-4 hasn’t appeared yet – they coordinated not to do it.

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lol, just realised that standard AI risk is just environmental disaster risk amped up to 10^(10^10), only that the direct perpetrator isn’t humanity (we’re only the proximate perpetrator). huh

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beating the ender dragon in minecraft with dying <100 times (but arbitrary training on video beforehand) seems like a nice candidate for another fire alarm (I wonder whether people would panic then, or whether that challenge is already AI-complete)

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Let A be the set of AI alignment complete problems. What is the problem a /∈ A so that solving a maximally delays the development of AGI? What is a, weighted by how hard/desirable it is?

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En ce qui concerne les matières sociales, j’ai constaté que le fédéral est bien plus déconnecté des réalités de terrain que les régions, c’est comme si le fédéral découvrait la crise sociale. ⌘

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