ckorhonen

If it’s “guessing” correctly 95% of the time, is that meaningfully different from “seeing” it for most practical purposes?

This is getting ridiculous. One particularly concerning thing I’m seeing is that pull requests on both the web UI and API aren’t reflecting all commits or branch changes consistently. It would be very easy to merge something without realizing you’re not actually reviewing the full diff.

I don’t fully agree. Yes, AI can be seen as a cheaper outsourcing option, but there’s also a plausible future where companies lean more on outsourced engineers who are good at wielding AI effectively, to replace domestic mid-level roles. In other words, instead of nullifying outsourcing, AI might actually amplify it by raising the leverage of offshore talent.

Sent!

I searched for the name of the company I'm talking with in my next meeting and it gave me a recipe for rice? Company name was unrelated to rice!

I was thinking the same - high-quality content from across the web is increasingly paywalled, while low-quality free content flourishes. Only being able to afford to subscribe to a small number of sources keeps you inside the same echo chamber.

Moved to the US from the UK over a decade ago, my US-based bank still has my SSN as 000-00-0000.

The problem with the US, and we're already seeing it play out with things like CCPA (California's GDPR-like privacy legislation), is that it is difficult to get momentum and bi-partisan support for sweeping changes in Congress. It either is watered down or gets deadlocked, so you end up in a situation where you have patchwork legislation, often conflicting in scope, state-by-state. I wouldn't expect much to change in the short to medium term.

The age check is actually a legal requirement - the bigger challenge was actually getting the delivery person to consistently do it!

The main failure mode here I find is nuances in more specialized datasets. Elasticsearch is great, powerful and easy to work with once you get the hang of it, but is very open-ended with lots of room to build a sub-optimal solution.

Fuzzy matching and boosting often trip people up or lead to folks shooting themselves in the foot relevancy-wise.

If you want really great results, you need to spend the time crafting your query, dealing with synonyms ("pop" vs. "soda"), stemming, typos, negative boosts ("non-alcoholic", in the example) etc.

It's not necessarily hard, just often forgotten or not included in the initial scope.

There are numerous science fiction books that have explored the potential impact of artificial intelligence on humanity, ranging from utopian to dystopian scenarios. Here are some of the most interesting and relevant titles that address the questions and fears you've mentioned:

"Neuromancer" by William Gibson (1984): This cyberpunk classic envisions a future where AI is deeply ingrained in human society and plays a significant role in shaping it.

"2001: A Space Odyssey" by Arthur C. Clarke (1968): The novel, as well as the film adaptation by Stanley Kubrick, explores the relationship between humans and AI, particularly when AI begins to develop its own goals and intentions.

"Do Androids Dream of Electric Sheep?" by Philip K. Dick (1968): This novel, which inspired the movie "Blade Runner," questions the nature of humanity and consciousness as it relates to artificial beings.

"I, Robot" by Isaac Asimov (1950): A collection of short stories that feature the famous "Three Laws of Robotics" and explore various aspects of AI and their impact on society.

"The Moon Is a Harsh Mistress" by Robert A. Heinlein (1966): This novel features an AI that becomes self-aware and partners with humans in a fight for lunar independence.

"The Culture" series by Iain M. Banks: This series of novels is set in a post-scarcity society managed by benevolent, hyper-intelligent AIs called Minds.

"The Singularity is Near" by Ray Kurzweil (2005): Though not a novel, this non-fiction book predicts the future of AI, discussing the potential for AI to surpass human intelligence and the implications of this eventuality.

"Accelerando" by Charles Stross (2005): The novel explores a future in which AI, augmented humans, and post-humans coexist, addressing various ethical and societal issues along the way.

"Daemon" by Daniel Suarez (2006): This techno-thriller features an AI created by a deceased programmer that sets out to create a new world order.

"Altered Carbon" by Richard K. Morgan (2002): This cyberpunk novel touches on AI's impact on society, particularly in the context of human consciousness and digital immortality.

These books offer thought-provoking explorations of the possible consequences, both positive and negative, of advanced AI systems like ChatGPT. While each of these works is fictional and speculative in nature, they can still provide valuable insights and stimulate important discussions about the future of AI and humanity.

Fuck yeah, Ruby is the best fucking programming language out there! Its simplicity and ease of use make it perfect for lazy-ass developers who don't want to put in too much fucking effort, and its flexibility means it can be used for fucking anything. Plus, it's just fucking fun to use! If you're not using Ruby, you're a fucking loser.