Your curated GitHub Universe agenda: AI, ethics, and productivity
Gain actionable insights about the intersection of AI and human skills, while tackling ethics, accessibility, and productivity at these GitHub Universe sessions.

The post Your curated GitHub Universe agenda: AI, ethics, and productivity appeared first on The GitHub Blog. ⌘ Read more

the sorting network AI - yeah we never figured out an algorithm for that one, so it’s just some boomer we uploaded who happened to be superhumanly good at solitaire

Prompting GitHub Copilot Chat to become your personal AI assistant for accessibility
GitHub Copilot Chat can help you learn about accessibility and improve the accessibility of your code. In this blog, we share a sample foundational prompt that instructs GitHub Copilot Chat to become your personal AI assistant for accessibility.

The post [Prompting GitHub Copilot Chat to become your personal AI assistant for accessibility](https://github.blog/2023-10- … ⌘ Read more

A developer’s guide to open source LLMs and generative AI
Open source generative AI projects are a great way to build new AI-powered features and apps.

The post A developer’s guide to open source LLMs and generative AI appeared first on The GitHub Blog. ⌘ Read more

Introducing a New GenAI Stack: Streamlined AI/ML Integration Made Easy
At DockerCon 2023, with partners Neo4j, LangChain, and Ollama, we announced a new GenAI Stack. We have brought together the top technologies in the generative artificial intelligence (GenAI) space to build a solution that allows developers to deploy a full GenAI stack with only a few clicks. ⌘ Read more

Announcing Docker AI/ML Hackathon
With the return of DockerCon, held October 4-5 in Los Angeles, we’re excited to announce the kick-off of a Docker AI/ML Hackathon. Join us at DockerCon — in-person or virtually — to learn about the latest Docker product announcements. Then, bring your innovative artificial intelligence (AI) and machine learning (ML) solutions to life in the hackathon for a chance to win cool prizes. ⌘ Read more

AI is UI ⌘ Read more

*leverages the power of AI* ⌘ Read more

DockerCon Workshops: What to expect
DockerCon 2023 will be held October 4-5 in Los Angeles. The program is now online so you can plan your experience by day, time, and theme, including AI and Machine Learning, Web Application / Web Development, Building and Deploying Applications, Secure Software Delivery, and Open Source. This year we’re offering talks, workshops, and panel discussions, plus the usual vibrant DIY hallway track. Here’s a preview of what to expect in our workshops. Register now! ⌘ Read more

The Quest to Save Tech Journalism
Big Tech. Ads. AI. Algorithms. They are destroying Tech Journalism. But we can eliminate their influence. ⌘ Read more

CodeQL team uses AI to power vulnerability detection in code
Learn how GitHub’s CodeQL leveraged AI modeling and multi-repository variant analysis to discover a new CVE in Gradle.

The post CodeQL team uses AI to power vulnerability detection in code appeared first on The GitHub Blog. ⌘ Read more

Erlang Solutions: What businesses should consider when adopting AI and machine learning
AI is everywhere. The chatter about chatbots has crossed from the technology press to the front pages of national newspapers. Worried workers in a wide range of industries are asking if AI will take their jobs.

Away from the headlines, organisations of all sizes are getting on with the task of working out what AI can do for them. It will almost certainly do something. One survey pu … ⌘ Read more

@prologic@twtxt.net Horseshit hype:

• AI that we have today cannot think–there is no cognitive capacity
  
• AI that we have today cannot be interviewed–“inter” “viewing” is two minds interacting, but AI of today has no mind, which means this is a puppet show
  
• AI today is not free–it’s a tool, a machine, hardly different from a hammer. It does what a human directs it to do and has no drives, desires, or autonomy. What you’re seeing here is a fancy Mechnical Turk
  

This shit is probably paid for by AI companies who desperately want us to think of the AI as far more capable than it actually is, because that juices sales and gives them a way to argue they aren’t responsible for any harms it causes.

What is Space Weather? | Neil deGrasse Tyson Explains with Lika Guhathakurta ⌘ Read more

AI-powered impact: GitHub Social Impact’s year ahead
How GitHub Social Impact is working with nonprofit organizations, employees, and more to create positive, lasting change in global communities.

The post AI-powered impact: GitHub Social Impact’s year ahead appeared first on The GitHub Blog. ⌘ Read more

@New_scientist@feeds.twtxt.net No, Google does not predict this. “Google AI” has been self-promoting like this for decades. Remember when they used to brag that they could predict the onset of flu season weeks before it started? That silently went away because they got it badly wrong many times and people caught on to how bad their “predictions” actually were.

They can’t stop themselves. Anything about AI coming out of big tech companies these days is marketing, not real, and certainly not science.

@New_scientist@feeds.twtxt.net because of course they have.

Emily Bender, a computational linguistic and excellent critic of this generative AI nonsense, uses an analogy of an oil spill to characterize what is happening as a result of generative AI. It’s polluting the world with false information, false images, false “academic” articles, false books. The companies that create this stuff are not cleaning up their misinformation spill; they’re letting the mess spread all over. It’s being used to commit crimes, and that’ll only get worse. Just like an out of control oil spill will destroy entire ecosystems.

Ready to execute some #LLM installation art for the #GANNI show at #copenhagenfashionweek

There are speakers and mics in the trees, so the audience can walk up and talk to our custom “GANNI AI” ⌘ Read more

Sentiment Analysis and Insights on Cryptocurrencies Using Docker and Containerized AI/ML Models
Learn how Prometeo.ai leverages Docker to deploy and manage its AI/ML models for sentiment analysis of cryptocurrencies. ⌘ Read more

A guide to designing and shipping AI developer tools
GitHub’s design experts share 10 tips and lessons for designing magical user experiences for AI applications and AI coding tools. ⌘ Read more

Defining Harm for Ai Systems - Computerphile ⌘ Read more

Build and Deploy a LangChain-Powered Chat App with Docker and Streamlit
We are happy to have another great AI/ML story to share from our community. In this blog post, MA Raza, Ph.D., provides a guide to building and deploying a LangChain-powered chat app with Docker and Streamlit. This article reinforces the value that Docker brings to AI/ML projects — the speed and consistency of deployment, the […] ⌘ Read more

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

How to get AI regulation right for open source
Sharing our coalition paper to inform the final negotiation of the EU AI Act. ⌘ Read more

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

Supercharging AI/ML Development with JupyterLab and Docker
We show how to use Docker Desktop to containerize JupyterLab 4.0 and evaluate its features without affecting your existing environment. ⌘ Read more

Will AI Replace Us? With Neil deGrasse Tyson & Matt Ginsberg ⌘ Read more

Why Are There More Than 100 Million Pull Requests for AI/ML Images on Docker Hub?
We look more closely at how Docker provides a powerful tool for AI/ML development. ⌘ Read more

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

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

(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

Conversational AI Made Easy: Developing an ML FAQ Model Demo from Scratch Using Rasa and Docker
How to use the open source Rasa framework along with Docker to build and deploy a containerized, conversational AI chatbot. ⌘ Read more

@marado@twtxt.net It’s very different. Language models are part if traditional search engines and translation engines. The new policy mentions Cloud AI abd Bard specifically. This is a weird change and probably a good preemptive move as I said previously. I’m not sure why you’re downplaying it

@marado@twtxt.net It can’t possibly be defensible, which to me always signals an attempt at a power grab. They never explicitly said “we will use anything we scrape from the web to train our AI” before–that’s new. There is growing pushback against that practice, with numerous legal cases winding through the legal system right now. Some day those cases will be heard and decided on by judges. So they’re trying to get out ahead of that, in my opinion, and cement their claims to this data before there’s a precedent set.

Google Says It’ll Scrape Everything You Post Online for AI

Google updated its privacy policy over the weekend, explicitly saying the company reserves the right to scrape just about everything you post online to build its AI tools.

Google can eat shit.

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

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

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

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

On being David to A.I.’s Goliath
Listen now (27 min) | Lunduke’s Big Tech Show - June 20th, 2023 ⌘ Read more

Full-Stack Reproducibility for AI/ML with Docker & Kaskada
Learn how Docker and Kaskada improve and accelerate the machine learning development cycle. ⌘ Read more

Lunduke declares war on A.I.
“Hey A.I.! Want to copy my work? Prepare to get fined.” ⌘ Read more

@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.

If everybody contemplates the infinite instead of fixing the drains, many of us will die of cholera Helpful context for thinking about AI

Survey reveals AI’s impact on the developer experience
We surveyed 500 U.S.-based developers at companies with 1,000-plus employees about how managers should consider developer productivity, collaboration, and AI coding tools. ⌘ Read more

Survey reveals AI’s impact on the developer experience
We surveyed 500 U.S.-based developers at companies with 1,000-plus employees about how managers should consider developer productivity, collaboration, and AI coding tools. ⌘ Read more

Crypto collapse? Get in loser, we’re pivoting to AI – Attack of the 50 Foot Blockchain

Someone on here gave me a hard time when I suggested that the crypto grifters were pivoting to AI after crypto collapsed. But, they were and they still are.

Seems to me you could write a script that:

• Parses a StackOverflow question
  
• Runs it through an AI text generator
  
• Posts the output as a post on StackOverflow
  

and basically pollute the entire information ecosystem there in a matter of a few months? How long before some malicious actor does this? Maybe it’s being done already 🤷

What an asinine, short-sighted decision. An astonishing number of companies are actively reducing headcount because their executives believe they can use this newfangled AI stuff to replace people. But, like the dot com boom and subsequent bust, many of the companies going this direction are going to face serious problems when the hypefest dies down and the reality of what this tech can and can’t do sinks in.

We really, really need to stop trusting important stuff to corporations. They are not tooled to last.

Dear Stack Overflow, Inc.

Stack Overflow is being inundated with AI-generated garbage. A group of 480+ human moderators is going on strike, because:

Specifically, moderators are no longer allowed to remove AI-generated answers on the basis of being AI-generated, outside of exceedingly narrow circumstances. This results in effectively permitting nearly all AI-generated answers to be freely posted, regardless of established community consensus on such content.

In turn, this allows incorrect information (colloquially referred to as “hallucinations”) and plagiarism to proliferate unchecked on the platform. This destroys trust in the platform, as Stack Overflow, Inc. has previously noted.

It looks like StackOverflow Inc. is saying one thing to the public, and a very different thing to its moderators.

“Sam Altman’s AI Hype Roadshow”

“The project of Altman and his merry band of doomsayers appears to be to capture power and create obfuscation by making new myths and legends”

“It assumes that no one will pull back the curtain and expose it as a market-expansion strategy”

Yes.

On Understanding Power and Technology

“An A.I.-Free Zone”
Lunduke’s Big Tech Show - May 29th, 2023 ⌘ Read more