[HN Gopher] What I've learned building with AI
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       What I've learned building with AI
        
       Author : whakim
       Score  : 35 points
       Date   : 2024-10-31 15:43 UTC (7 hours ago)
        
 (HTM) web link (halcyon.eco)
 (TXT) w3m dump (halcyon.eco)
        
       | lancesells wrote:
       | Pure snark but use AI to learn about line-height in CSS! Hard to
       | read in Safari MacOS.
        
         | JimDabell wrote:
         | Unfortunately that's the problem; they know about line-height.
         | They overrode the browser defaults to make it smaller and less
         | readable.
        
         | jasonsb wrote:
         | I don't understand why you're getting downvoted. This blog
         | style is horrendous.
        
         | tonygiorgio wrote:
         | At least it loads for you. On lockdown mode it's just a white
         | screen.
        
           | accrual wrote:
           | Same in a regular desktop browser with NoScript. I know we're
           | supposed to focus on the content and not the delivery, but
           | it's always wild to me when JS is required to display some
           | text.
        
         | jdale27 wrote:
         | Looks totally fine in mobile safari.
        
         | whakim wrote:
         | Hey! Will, author here. I appreciate your feedback and we've
         | increased the line-height. Hopefully that's a little more
         | readable. We'll also look into the sibling comment on Lockdown
         | Mode and see if there's a way we can fix that too!
        
         | dang wrote:
         | " _Please don 't complain about tangential annoyances--e.g.
         | article or website formats, name collisions, or back-button
         | breakage. They're too common to be interesting._"
         | 
         | https://news.ycombinator.com/newsguidelines.html
        
       | ramoz wrote:
       | What are batch processing and targeted notifications?
        
         | whakim wrote:
         | Hey there! Will, author here. Thanks for the question!
         | 
         | On batch processing: one thing we've found is that customers
         | often use tools such as Halcyon's to do research or build
         | models; they basically want a matrix of questions (each with a
         | fixed structured output format) and filters, so we've spent a
         | bunch of effort enabling folks to easily produce these types of
         | "spreadsheets".
         | 
         | On targeted notifications: Halcyon is constantly ingesting new
         | data from a huge number of sources, so we can use our query
         | pipeline to figure out which new documents are important to pay
         | attention to and what they mean in context. For example (and
         | trying not to delve too deeply into the world of energy), if
         | Tesla files a comment on the rate case of a major California
         | utility, we can figure out that (a) Tesla is an important
         | party; (b) what Tesla's arguments are; and (c) how those
         | arguments relate to the (potentially thousands) of filings that
         | make up the rate case to date. We can summarize all that and
         | notify folks who are interested in California rate cases.
        
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       (page generated 2024-10-31 23:01 UTC)