4,644 karma · joined September 11, 2013
You can get away with murder in India if you're wealthy enough (e.g. the case of Jessica Lal, murdered by a politician's son in front of at least a dozen witnesses). The egregious corruption of the INC or "Congress party" (which is ideologically progressive) over many decades has created a massive voter exodus to the conservative BJP party, the majority party in India since 2014. However, the corruption and inefficiency at all levels of civil society has remained endemic.
1. https://www.accesstoinsight.org/lib/authors/various/bl014.ht...
1. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3906395
Essentially what we have today is a free-for-all. Any corporation can spend unlimited amounts of money (commonly referred to as "dark money") to influence politics, with virtually no oversight (i.e. FEC reporting requirements). As an individual, my ability to fund political campaigns is limited to thresholds set at the local and federal level, but a billion dollar company like FTX can give millions of dollars to politicians who put forward favorable regulations. Billion dollar AI companies will control potential future regulation in a similar manner. I'm oversimplifying here, and added some helpful links for anyone interested:
- Two Challenges for Campaign Finance Disclosure After Citizens United and Doe v. Reed - https://scholarship.law.wm.edu/wmborj/vol19/iss4/8/
- The Death of Non-Resident Contribution Limit Bans and the Birth of the New Small, Swing State - https://scholarship.law.wm.edu/wmborj/vol28/iss4/4/
- Why Contribution Limits on a Hybrid PAC’s Independent-Expenditure Arm are Impermissible - https://scholarship.law.wm.edu/wmborj/vol25/iss1/10/
The real push toward oligarchy, in my opinion, is the Supreme Court decision in Citizens United vs FEC. The only available remedy at this point is for the American electorate to stop relying on political ads and make a decision on policy alignment alone (like the Founding Fathers did) - this is a totally unrealistic goal in today's polarized environment.
In any case, I found your statement "nothing to lose and could always return to my previous, though less-than-optimal, lifestyle" quite inspiring - thank you!
I can also make a note of it privately and check back in with you in the future. I found it pretty remarkable that it played a human-like response to some niche openings - I actually ended up checking against Stockfish and it played different moves, which is pretty neat.
I'm curious how you combined Stockfish with your own model - but no worries if you're keeping the secret sauce a secret. All the best to you in building out this app!
I had a great experience at that company while I was in college, which also launched me into an exciting professional career. All of it wouldn't have happened without people like you.
These days I get a daily dose of amazement at what a small engineering team is able to accomplish.
Any plans to extend this to iOS/Android development in the future? I assume it would already be easy to integrate this into React Native.
Also, is there a way for me to provide explicit additional context to the `t` function for the translation? Essentially a string that is appended to the LLM input for translation. For example, in Japanese there is often a significant difference between formal and informal language, and it is common to add post-positional particles such as や, が, and の to make titles and labels sound more natural. I see you have addressed many other special cases around numbers/dates/etc, so certain flags like formal/informal, regional dialect, etc may be valuable future additions.
Overall looks really nice and I look forward to trying this the next time the need arises.
Although I do agree with you that in this particular situation, the LLM safety features have often felt unnecessary, especially because my primary use case for ChatGPT is asking critical questions about history. When it comes to history, every LLM seems to have an increasingly robust guardrail against making any sort of definitive statement, even after it presents a wealth of supporting evidence.
Instead, you devoted 2/3 of your comment toward berating the OP as being responsible for your perception of HN's decline.
The most useful aspect was that I could ask "what was the total contributed amount between January and June of 2020" and get an accurate answer for that as well. Since the date column is provided as an "MM/DD/YYYY" string, I would normally have to do some boilerplate work to sanitize this.
For my particular use case, the charting aspect left a few things to be desired - once I grouped campaign donations by contributor, I could only see the first 10 rows in the AI response, with no option to expand the output. But overall I was truly blown away that something like this is even possible for a small team to build.
The design also has ample room for improvement - it's a bit hard to navigate the site and stay engaged with the content at the moment.
My original point was to the "Elon schadenfreude" crowd cheering for BMW and swearing off Tesla because they don't agree with the founder's actions. Seems like selective outrage to me.