What is the difference legally between searching on google and using chatgpt

Legally, there are some notable differences between using Google search and ChatGPT, mostly revolving around data use, privacy, and liability:

1. Data Privacy and Personalization

• Google Search: Google collects data on your search habits, location, and browsing behavior to personalize results and ads. Your searches and clicks are stored and associated with your account, which can be accessed and used by Google for various purposes, including advertising.
• ChatGPT: OpenAI has policies to limit personal data storage, and queries are generally processed without user identification unless an account is involved. OpenAI focuses on user privacy and typically anonymizes data for model training and improvement purposes. However, your conversations with ChatGPT may be stored to improve the AI model, though often in an aggregated and anonymized form.

2. Intellectual Property and Copyright

• Google Search: Google only links to content on the internet but doesn’t directly control it. Users are expected to respect copyrights for content they find. If you see content on Google, you still need to visit the original site to view the material, subjecting you to that site’s copyright terms.
• ChatGPT: ChatGPT generates responses based on data it has been trained on, rather than linking to or presenting exact content. The output is original but might indirectly reflect patterns in public domain knowledge or data. However, the responses aren’t specifically linked to any original source, so there’s generally no copyright infringement in what’s generated.

3. Content Liability

• Google Search: When you access information through Google, the content is hosted by third-party websites, and Google typically disclaims liability for it. If the content is false, misleading, or illegal, the responsibility lies more with the website owner than with Google.
• ChatGPT: OpenAI is responsible for ChatGPT’s outputs, but the content it generates is produced in real-time without a direct source. OpenAI aims to mitigate risks related to misinformation and harmful outputs, but the AI responses are not directly endorsed or verified, meaning OpenAI may not be liable for all outcomes.

4. Use Cases and Legal Compliance

• Google Search: Google is a search engine legally obligated to remove certain content (e.g., in cases of copyright infringement or court orders) and provides links to other content, so it’s more of a “directory” than a content producer.
• ChatGPT: ChatGPT is a tool for generating responses based on training data and might not comply with legal requests to remove content from responses. OpenAI is generally cautious to follow regulations on data handling and output quality, aiming to comply with legal standards for AI.

In summary, the main legal differences relate to data privacy, IP handling, and liability. Using Google typically involves searching for and visiting other sites, while ChatGPT provides generated information without linking to external sources, affecting liability and copyright implications.

Remote work is killing big offices. Cities must change to survive

Meget spændene og inspirende artikel om fremtiden for arbejde, som meget godt rammer de tanker jeg selv har om det at arbejde og udfordringer for i det. Jeg finder det selv ofte meningsløst at bruge timer om dagen på transport for at tage et headsæt på i et storrumskontor og derefter bruge en masse værktøjer som er lavet til at arbejde asynkront.

https://stackoverflow.blog/2022/06/06/remote-work-is-killing-big-offices-cities-must-change-to-survive/?utm_source=Iterable&utm_medium=email&utm_campaign=the_overflow_newsletter

How to use TDD together with Git

When you dont know the requirements its hard to write a test. If you start implement the what you know and along the way you will probably discover new requirements. When you have a better understanding of the requirements. write the test, then I suggest to try to stash your prototype implementation and do write a new and better implementation. Inspired by Use Git tactically

What makes developers happy at work

I will be happy at work if
– Flexible about when and where you want to work
– Physical workspace must be quiet and have a few people from your team around and some windows where you can look at something nice
– Communication must be pull and not push pattern
– There must be time for innovation and learning
– Technical dept is not to big

I reflected on this when I read the blog on https://stackoverflow.blog/2022/03/17/new-data-what-makes-developers-happy-at-work