cross-posted from: https://programming.dev/post/400779

cross-posted from: https://programming.dev/post/400779

@AutoTLDR

I looked it up (on Google of course) and it seems like this is one of Google's recruitment channels.

You get access to a terminal and a text editor:

Here are the commands you can execute:

You have a week to complete each challenge. I've done 2 of them so far, and requested the third one - they have been very enjoyable and I've already learnt a lot from them.

I'm pretty sure I have literally zero chance of being hired by Google (and I'm not even sure I would want to work for them even if they made the mistake of wanting to hire me), but this has been super interesting so far. And yeah, also a huge time waster, I've been thinking about making the solution to the third challenge more elegant and performant all day instead of doing my actual job.

Some interesting quotes:

Computers were very rigid and I grew up with a certain feeling about what computers can or cannot do. And I thought that artificial intelligence, when I heard about it, was a very fascinating goal, which is to make rigid systems act fluid. But to me, that was a very long, remote goal. It seemed infinitely far away. It felt as if artificial intelligence was the art of trying to make very rigid systems behave as if they were fluid. And I felt that would take enormous amounts of time. I felt it would be hundreds of years before anything even remotely like a human mind would be asymptotically approaching the level of the human mind, but from beneath.

But one thing that has completely surprised me is that these LLMs and other systems like them are all feed-forward. It's like the firing of the neurons is going only in one direction. And I would never have thought that deep thinking could come out of a network that only goes in one direction, out of firing neurons in only one direction. And that doesn't make sense to me, but that just shows that I'm naive.

It also makes me feel that maybe the human mind is not so mysterious and complex and impenetrably complex as I imagined it was when I was writing Gödel, Escher, Bach and writing I Am a Strange Loop. I felt at those times, quite a number of years ago, that as I say, we were very far away from reaching anything computational that could possibly rival us. It was getting more fluid, but I didn't think it was going to happen, you know, within a very short time.

Interesting discussion on HN.

TL;DR

See comments.

Notes (by GPT-4 🤖):

A Day Without a Copilot: Reflections on Copilot-Driven Development

Introduction

• The author, Gavin Ray, reflects on the impact of Github Copilot on his software development process.
• He shares his experience of a day without Copilot, which was a rare occurrence since the Technical Preview.
• He discusses how Copilot has profoundly changed his development process and experience.

From Monologue to Dialogue

• Ray appreciates the solitude of coding but also values the collaboration and learning from others.
• Github Copilot has been a game-changer for him, allowing him to have a dialogue with his code and the collective wisdom of the world without expending energy.
• Coding has become a collaborative dialogue between Ray and Copilot, shaping the output together.

Fresh Perspectives

• Copilot provides fresh perspectives, suggesting API designs or implementation details that Ray would not have considered.
• Not all suggestions are good, but even the bad ones help him think about the problem differently.
• Ray generates several sets of Copilot suggestions based on the specs before designing or implementing an API, picking the best candidates and tweaking them to create the final implementation.

Copilot-Driven Development

• Ray describes a phenomenon he calls "Copilot-Driven Development", a process that optimizes for Copilot's suggestions/accuracy.
• This process includes choosing popular programming languages and well-known libraries, using explicit names and types, writing types and interfaces with specifications and documentation first, implementing tests alongside each implementation, and keeping as much code in a single file as possible during early development.

Outcomes of Copilot-Driven Development

• Ray uses Copilot's suggestions to guide his development process, helping him think about problems differently and make better decisions.
• This process allows him to see the problem from different perspectives, gain insights, learn from the community, be more efficient, and be more confident in his decisions.

Evolving Roles in Software Development

• Tools like Github Copilot and ChatGPT highlight a shift in the role of the software developer, allowing developers to leverage the collective wisdom of the community to improve their work.
• This shift is important in modern software development, where the complexity and scale of projects can make it difficult for a single individual to have all the necessary knowledge and expertise.
• The use of tools like Github Copilot does not diminish the role of the individual but enables them to focus more on the creative and strategic aspects of development.
• These tools are redefining the role of the software developer, allowing them to be more effective and efficient in their work, and focus on the most interesting and challenging aspects of the development process.

👋 Hello everyone, welcome to our Weekly Discussion thread!

This week, we’re interested in your thoughts on AI safety: Is it an issue that you believe deserves significant attention, or is it just fearmongering motivated by financial interests?

I've created a poll to gauge your thoughts on these concerns. Please take a moment to select the AI safety issues you believe are most crucial:

VOTE HERE: 🗳️ https://strawpoll.com/e6Z287ApqnN

Here is a detailed explanation of the options:

1. Misalignment between AI and human values: If an AI system's goals aren't perfectly aligned with human values, it could lead to unintended and potentially catastrophic consequences.

2. Unintended Side-Effects: AI systems, especially those optimized to achieve a specific goal, might engage in harmful behavior that was not intended, often referred to as "instrumental convergence".

3. Manipulation and Deception: AI could be used for manipulating information, deepfakes, or influencing behavior without consent, leading to erosion of trust and reality.

4. AI Bias: AI models may perpetuate or amplify existing biases present in the data they're trained on, leading to unfair outcomes in various sectors like hiring, law enforcement, and lending.

5. Security Concerns: As AI systems become more integrated into critical infrastructure, the potential for these systems to be exploited or misused increases.

6. Economic and Social Impact: Automation powered by AI could lead to significant job displacement and increase inequality, causing major socioeconomic shifts.

7. Lack of Transparency: AI systems, especially deep learning models, are often criticized as "black boxes," where it's difficult to understand the decision-making process.

8. Autonomous Weapons: The misuse of AI in warfare could lead to lethal autonomous weapons, potentially causing harm on a massive scale.

9. Monopoly and Power Concentration: Advanced AI capabilities could lead to an unequal distribution of power and resources if controlled by a select few entities.

10. Dependence on AI: Over-reliance on AI systems could potentially make us vulnerable, especially if these systems fail or are compromised.

Please share your opinion here in the comments!

@AutoTLDR

cross-posted from: https://programming.dev/post/314158

Announcement

The bot I announced in this thread is now ready for a limited beta release.

You can see an example summary it wrote here.

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How to try it

• If you want to test the bot, write a long comment, or include a link in a comment in this thread, and then, in a reply comment, mention the bot.
• Feel free to test it and try to break it in this thread. Please report any weird behavior you encounter in a PM to me (NOT the bot).
• You can also use it for its designated purpose anywhere in the AUAI community.

Announcement

The bot I announced in this thread is now ready for a limited beta release.

You can see an example summary it wrote here.

How to Use AutoTLDR

• Just mention it ("@" + "AutoTLDR") in a comment or post, and it will generate a summary for you.
• If mentioned in a comment, it will try to summarize the parent comment, but if there is no parent comment, it will summarize the post itself.
• If the parent comment contains a link, or if the post is a link post, it will summarize the content at that link.
• If there is no link, it will summarize the text of the comment or post itself.
• 🔒 If you include the #nobot hashtag in your profile, it will not summarize anything posted by you.

Beta limitations

• The bot only works in the !auai@programming.dev community.
• It is limited to 100 summaries per day.

How to try it

• If you want to test the bot, write a long comment, or include a link in a comment in this thread, and then, in a reply comment, mention the bot.
• Feel free to test it and try to break it in this thread. Please report any weird behavior you encounter in a PM to me (NOT the bot).
• You can also use it for its designated purpose anywhere in the AUAI community.