This is surprising. I generally notice that I have more eye fatigue when working in a dark room compared to when I keep the room bright.
Readit Newsprashantsengar commented on I realized bad lighting is quietly hurting productivity (and no one measures it) · Posted by u/emmasuntech
At the very least names should be unique strings, preferably pronouncable
Correct horse battery staple
Feels like people making a big deal out of it. You can also just, you know, not use these features. I can't remember the last time I use the "Print" dialog, the "Manage bookmarks" or the "Homepage" button. But these things don't have AI in their name, so people aren't so obsessed with removing them.
IMHO just like many companies are obsessed with adding AI features, some users are obsessed with rejecting them. Both seem mostly senseless to me, especially when it's a local-first AI implementation.
And honestly it seems ironic that a lot of people on HN want Firefox to be used by everyone but don't want Mozilla to add features that the "normies" want.
prashantsengar commented on Nobel Peace Prize 2025: María Corina Machado nobelprize.org/prizes/pea... · Posted by u/pykello
Patel won the Congress presidency in 1946 and was made to step aside by Gandhi. Nehru, if memory serves me right, won only one vote.
"House arrest" was reserved for compliant natives. Aga Khan's palace was another favoured location for the likes of Nehru and Gandhi.
Real freedom fighters, were sent to the Cellular Jail in the Andamans.
Why would the military keep a "compliant native" under house arrest though? Wouldn't it be better for them to get her killed?
prashantsengar commented on Nobel Peace Prize 2025: María Corina Machado nobelprize.org/prizes/pea... · Posted by u/pykello
Aung San Suu Kyi was just another "compliant native" similar to those the British installed prior to leaving the colonies.
The roadmap was laid out by Cecil Rhodes in his letters and will and extensively documented in "The Secret Society" by Robin Brown.
It's quite fascinating to see their networks with the benefit of hindsight. For example, Mountbatten installed Nehru as the first unelected PM of India.
Aung San Suu Kyi was educated in New Delhi India and during that time, she lived in Nehru's home.
Calling Nehru "installed" by Mountbatten misses the crucial context of the time. Nehru was the undisputed leader of the Indian National Congress, which had been the primary force behind the independence movement for decades and had overwhelming popular support. Mountbatten's appointment was more of a constitutional formality in the transfer of power, not an act of kingmaking. It's like saying the Chief Justice "installs" a newly elected president.
The same goes for the Aung San Suu Kyi connection. Labeling her a "compliant native" seems to ignore the 15 years she spent under house arrest actively fighting against a military junta. That's a pretty high price to pay for being a supposed puppet.
prashantsengar commented on Why do LLMs freak out over the seahorse emoji? vgel.me/posts/seahorse/... · Posted by u/nyxt
? It’s referenced all the time in posts about AI.
It's a reference to a short story "I Have No Mouth, and I Must Scream"
https://en.wikipedia.org/wiki/I_Have_No_Mouth,_and_I_Must_Sc...
prashantsengar commented on How to make sense of any mess howtomakesenseofanymess.c... · Posted by u/surprisetalk
> I suspect it’s intentionally designed to be unpleasant to encourage book sales.
If you’re reading a book preview and have an awful time of it, why would that encourage you to buy the book? You’re more likely to close the site and move away.
It is also a lot of work (and intuitive) to publish all the content on a website and then intentionally make it unpleasant to read just to encourage book sales.
prashantsengar commented on 95% of Companies See 'Zero Return' on $30B Generative AI Spend thedailyadda.com/95-of-co... · Posted by u/speckx
It's easier and simpler to use an LLM service than to maintain those ad hoc models. Many replaced their old NLP pipelines with LLMs.
The place I work at, we replaced our old NLP pipelines with LLMs because they are easier to maintain and reach the same level of accuracy with much less work.
We are not running a call centre ourselves but we are a SaaS offering the services for call centre data analysis.