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What is the general sentiment of the comments on the current top hacker news story? -- The general sentiment of the comments on the current top Hacker News st
by mellosouls 3y ago
What is the general sentiment of the comments on the current top hacker news story?
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The general sentiment of the comments on the current top Hacker News story titled "Google has a secret browser hidden inside the settings" is a mix of curiosity, concern, and reminiscence. Some users are intrigued by the technical details and investigation mentioned in one comment. Others express concerns about the potential security risks and the implications for parental or school controls. Some users reminisce about similar workarounds in the past or share their own experiences with bypassing restrictions. Overall, the sentiment seems to be a combination of interest, worry, and nostalgia
- addandsubtract 3y agoRead this in the HN AI podcast voice.
- sunnybeetroot 3y agoThere is an AI generated podcast of HN?
- mellosouls 3y agohttps://hackernewsrecap.buzzsprout.com/ https://hackernewsrecap.buzzsprout.com/ Discussed: https://news.ycombinator.com/item?id=35831177 https://news.ycombinator.com/item?id=35831177 An earlier (dead?) project, I don't know if they are related: https://news.ycombinator.com/item?id=34990229 https://news.ycombinator.com/item?id=34990229
- sv123 3y agoI was just reminiscing about that myself.
- steventey 3y agoOP here – that's a pretty cool summary! A caveat: this is limited to the direct child comments of the post – as per the HN /item endpoint: https://hacker-news.firebaseio.com/v0/item/36478206.json?print=pretty https://hacker-news.firebaseio.com/v0/item/36478206.json?pri...
- mellosouls 3y agoThanks for the info, I'd assumed the limiting somewhere including obviously the engine but interesting to think about multiple limit types.
- boredumb 3y agoFeel like you could interchange that particular title and the rest of it will work for 99% of HN stories.
- hn_throwaway_99 3y agoI really feel like that's underselling it. Yes, many stories are responded to with "a mix of curiosity, concern, and reminiscence". But it still got a lot of the specific details right: 1. First, it identified the top story correctly, "Google has a secret browser hidden inside the settings". 2. "Others express concerns about the potential security risks and the implications for parental or school controls" and "Some users reminisce about similar workarounds in the past or share their own experiences with bypassing restrictions" are really specific to that story and not generally applicable. I know this may come across as being pedantic, but as much as AI can be over-hyped, I also see a lot of cases where it is underhyped (e.g. "it's just doing autocomplete!") that also aren't really a fair assessment of its capabilities.
- dns_snek 3y ago> 1. First, it identified the top story correctly, "Google has a secret browser hidden inside the settings". How is parroting the top title back to the user supposed to be impressive?
- hn_throwaway_99 3y agoThat it speaks English? Being human, I think a lot of us tend to forget what an incredibly difficult problem natural language processing is. I'm always a little baffled when people discount the abilities of LLMs, when meanwhile I'm blown away that I'm having a perfectly valid, seemingly-human-level conversation with a machine. Yes, all of the problems with things like inaccuracy, hallucinations and bias need to be called out and highlighted, but if you had showed me a ChatGPT transcript a year ago I would have thought you were bluffing, that it was really a "human behind the curtain". Point being, the person didn't ask for the system to output "console.log((retrieveHNFrontPage()).stories[0].title". The person simply asked "What is the general sentiment of the comments on the current top hacker news story?" And you might argue that there is some parsing logic you could implement to pull out "current top hacker news story" and translate that to code, but the fact is that currently nothing is better than an LLM at taking practically any natural language request and turning it into an actionable piece of code.