5 ms·
Most of the article appears to be about what does not work. Here is the relevant part from the bottom of the page- > The real secret is to save your energy for
by screamingninja 3y ago
Most of the article appears to be about what does not work. Here is the relevant part from the bottom of the page-
> The real secret is to save your energy for the people who are most likely to be interesting to you.
> The sweet spot in networking on LinkedIn is someone with moderately weak ties to you: connecting with a person with ten mutual friends markedly increases the probability of changing jobs compared with someone with just one shared friend.
> In other words, networking pays off if you can identify people who can bring you new information but are close enough to your world that this information is useful. In the offline world, a tool like ChatGPT should make it easier to find useful prospects in a list of event attendees. But you still need to overcome all your instincts and approach them.
- badtension 3y agoWhere can I pay for information presented in such a short, clear and to-the-point manner? Preferably human generated as well (no to robots). I dream about having access to this kind of internet.
- screamingninja 3y agoHacker News, of course! :) I am curious though, why human generated only? AI is getting better at summarizing everyday. Does it really matter if you cannot tell the difference?
- badtension 3y agoI am not an expert in modern NLP SOTA but from what I see these models do not work that well. You didn't summarize the article but took some of the most important points and shared what really mattered. It may not be perfect but required a real life experience. I am afraid there will always be a chance of getting "techno-babble" from our models, at least until they we get to some sort of AGI. Look at your first line: > Most of the article appears to be about what does not work. No model will decide to include that info and it is vital for me to understand why you chose just a few lines out of it. We are still long way out from trusting in reliable LLMs.
- PartiallyTyped 3y agoThere are two things to that answer; first, a summary: > Most of the article appears to be about what does not work. and then a segmentation, where they list the content. This is very much in line with LLMs can do. Segmentation is part of a standard QA benchmark, and summaries are obviously something we have. You can also ask a model to not only identify a summary, but segment only the relevant parts given the summary. The "difficulty" is in pairing the two LLMs together.
- fouc 3y agoI asked chatgpt to pick the most important 2 or 3 lines of text from the article. It returned: 1. "Fortunately, there is advice out there on how to break the ice with strangers. Unfortunately, it’s abysmal." 2. "Making contacts on a site like LinkedIn is a lot less stressful." 3. "The real secret is to save your energy for the people who are most likely to be interesting to you." It got 2 out of 3 wrong basically. I'm not sure how to objectively measure/improve that in an automated way. I suppose some prompt might do better though? I guess a second pass of the results through another LLM could potentially help like you suggest?
- AnimalMuppet 3y agoBecause AI is going to give me a summary of what the article said. I don't want that. I want a summary of the relevant parts of what the article said. And if it's appropriate, I want a cynical, "this is baloney/marketing/clickbait/propaganda" summary.
- deleted 3y ago[deleted]
- carapace 3y ago> Once men turned their thinking over to machines in the hope that this would set them free. But that only permitted other men with machines to enslave them.
- graypegg 3y agoSome sort of LLM could work for you! It’s not a half bad idea for a browser extension or something if it doesn’t already exist.
- magic_hamster 3y agoI've seen it mostly in finance websites, where they often have keynotes at the top for a quick glance. I think the last time I've seen in this in a different context was probably an article in The Verge.
- badtension 3y agoI love when scientific articles list "Key Points" and "Plain Language Summary" right at the top: https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2023GB007875 https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2023GB00...
- podgorniy 3y agoShortform tries to do such things. For me chatgpt v4 is a good summarizer.
- HumblyTossed 3y ago> The real secret is to save your energy for the people who are most likely to be interesting to you. I think this is the real gem. There are people who do well socially and are energized by other people. That's not me. I can do well socially, but I have a social battery - people drain me and I need to regularly be recharge by being inside my own head for a while.
- jstx1 3y agoIt's not that anything drains me, I just can't get myself to pretend to care about strangers.
- atoav 3y agoBut you care about friends? If yes, then don't forget that there has been a time when they were strangers too. I don't imply you have to care about strangers, but there are tangible benefits to maintaining a balanced approach (and that, for introverts like us can mean doing more than we would if we just follow our guts). After all even if you don't care about strangers, being on good terms with them, or even making the occasional friend will have a positive impact on literally everything else that you actually care for, be it your own well being, your projects, etc.
- HumblyTossed 3y ago> ... I just can't get myself to pretend to care about strangers. That sounds deeper than just being an introvert.
- deleted 3y ago[deleted]
- atak1 3y agoThanks for summarizing! These points resonate with me bc I used to be an introvert, but found the extrovert inside of me a couple years ago (ironically, during pandemic). A few additional points to make these macro data-based observations practical: 1. Saving your energy means ironically fewer convos. 2. A good proxy for "people who are most likely to be interesting" is the idea of reading their "energy". People whose energies are more similar to you are likely to resonate with you. 3. The article doesn't touch on follow-ups bc LinkedIn doesn't have that dataset. But follow-ups contain a wealth of information. For me currently they are the "breaking point" - most of my potential weak ties that could be strong ties remain at weak ties bc they descend into scheduling hell or lack of proactiveness (i usually follow up, and it's hard when i don't have time already as a founder). 4. This "sweet spot" is just in terms of LinkedIn mutual connections, which is weak bc LinkedIn connections are noisy. The real number is probably <10. Some say it's 6. I suspect it's actually 4 based on empirical evidence, where 3 of the 4 aren't captured on LinkedIn. 5. Try asking for their Instagram before LinkedIn next time. This might not be for the HackerNews crowd, but Instagram contains 2/4 or 3/4 of the missing signals that LinkedIn doesn't capture - what you do outside of work, where you are in your life journey / hero narrative, and what your life direction is. 6. Overcoming all your instincts in real world is tough. This takes a string of positive, warm, open interactions. Going to a few small, closed group events may help. Check out Saturday, Supermomos, or go to events at a private social club to "warm up" before going to larger tech events. Hopefully they cultivate a sense of "intimacy" in you, which is the energy you want to lead with from first interaction. Hope this helps whoever bothered to read this from top down. If any of these points resonates, email me at hn.at.tw4192367@gmail.com