Readit Newsjhgg commented on Users claim Discord's age verification can be tricked with video game characters thepinknews.com/2025/07/2... · Posted by u/mediumdeviation
jhgg commented on Show HN: I wrote a new BitTorrent tracker in Elixir github.com/Dahrkael/ExTra... · Posted by u/dahrkael
Really cool! You looking to write Elixir as your main job?
We’re using elevenlabs in a new prototype, and it gets confused by its own voice which my mic picks up. Unless I wear headphones, it thinks I’m talking, and it gets into a loop.
I hope this release fixes that bug!
This is not a model issue - you just have not properly implemented acoustic echo cancellation on your end.
jhgg commented on Updated rate limits for unauthenticated requests github.blog/changelog/202... · Posted by u/xena
The truth is this won't actually stop AI crawlers and they'll just move to a large residential proxy pool to work around it. Not sure what the solution is honestly.
jhgg commented on The Cost of Being Crawled: LLM Bots and Vercel Image API Pricing metacast.app/blog/enginee... · Posted by u/navs
(I work at Vercel) We moved to a transformation-based price: https://x.com/TheBuildLog/status/1892308957865111918
Sweet! That's much more reasonable!
jhgg commented on The Cost of Being Crawled: LLM Bots and Vercel Image API Pricing metacast.app/blog/enginee... · Posted by u/navs
$5 to resize 1,000 images is ridiculously expensive.
At my last job we resized a very large amount of images every day, and did so for significantly cheaper (a fraction of a cent for a thousand images).
Am I missing something here?
jhgg commented on Query GPT: Transform Natural Language into SQL query-gpt.com/... · Posted by u/pekingzcc
I am not entirely sure if the distinct service is justified here, but in my own work, I've found that regular Chatgpt is great in writing queries. And usually I post the '\d ' output to it to describe my schema, and ask in regular language what i want. I don't think i encountered yet cases when it didn't work. The only thing I had to occassionally ask is to rewrite the query from nested query to CTE.
IMO, it's not. All the UI boils down to: https://github.com/zhangchenchen/query_gpt/blob/main/src/api...
Metal looks super cool, however at my last job when we tried using instance local SSD's on GCP, there were serious reliability issues (e.g. blocks on the device losing data). Has this situation changed? What machine types are you using?
Our workaround was this: https://discord.com/blog/how-discord-supercharges-network-di...
Hoping this leads to datadog launching a logging solution that does not cost an arm and a leg at scale.
In other words, just instruct the LLM to do what you need. The article is about nothing we don't already know.
Except this article is about how their efforts to prompt the LLM didn't end up working and how they used embeddings / vector search to filter out comments that the LLM generated based on user feedback.