u/Key-Month-7766

title explains it

https://preview.redd.it/ih2i7zwcpf9h1.png?width=1901&format=png&auto=webp&s=54b303afb4b72391f44e0afc60ebc21dda3e9011

for example here an image is rendered side by side to a video...but for me it's just video, then you move right to get an image...why is the layout different for me...and i have no option of changing it

I changed my name, and added AI, and immediate tank in growth of users, which used to be 30-50 a single day...

down to 3-6

then it was picking up...but i felt teh sentiment around AI is making ppl not use it...so i changed it again and replaced that with another word....Another rock bottom

how long did it take your chrome extension to find the right niche?

Also do long names do worse? {name} - {3 word explanation} is this bad

Hey I dont have any business registration whatsoever. i migt have 100 to 200 people signing up for $10 per month...and i need immediate and fast set up with very little issues with it later

what route do u suggest..im doubtful whether indian banks etc are slow in approving stuff...my family has a business, icici guys lit wanted to come to our office, take photos etc to establish a real business acc to new guidelines etc...and idk how long business registration + gst if required would take

what did u choose in this case?

EDIT: just discovered a host of platforms like dod,paddle etc who take solopreneurs without business registrations...
also please recommend me which haslower issues dodo vs lemon squeezy vs paddle etc

so first day 15 users, second day 68, third 200...
how many users did u get in the first few weeks?

Does Chrome webstore simply boost ur extension and try it out in different regions?
is there a possibility that there are bot users...
also my demographic is pretty spread out, US, Canada, EU, Russia etc

https://preview.redd.it/6l70m3yeuk6h1.jpg?width=2752&format=pjpg&auto=webp&s=dd82dbbad04255894d984edaea16538d7669e638

https://chromewebstore.google.com/detail/claimcircle/ominadfbilailbklmclcmdbpmckckdad

Basically i want to know if the censorship is part of the training bias...or is it on top of the model, and not baked into the weights itself

so if i choose a different hosted provider will i still be using a censored variant

Also I'd definitely need cheaper variants...chinese models outperform mistral and cost a fraction...deepseek v4 pro costs less than 1 dollar for 1M out

how are they able to do things differently that mistral can't?

here's my breakdown for the demand for compute that is yet to enter the scene in the coming few months

1. the moment mythos class models hit the market, and their prices come down a bit...the compute demand for them are gonna be staggering...even if the industry gets a breakthrough that makes models run more efficiently, the moment they become cheaper they would see a surge in demand thereby still creating a net upward trend for compute...mythos class models will be 5 to 10x the size of opus..so 5-10x the amount of HBM, RAM etc

2. Until now agentic coding was considered a major market for these models, going ahead this would shrink as a %. Recently heard the CFO of anthropic talk about the growth of token usage for non coding tasks, like PDF report generation etc and according to him it's outpacing tokens growth for coding, and they expect it to outstrip token usage on coding in a few months.. add to that ppl like ken griffin talking about how most of the reports that used to take phds and highly qualified individuals hours of work to research now happens in a few mins..
   tech companies were the first to adopt these AI tools and track token spend...but soon itll be banks, insurance companies, regular old school businesses, news paper agencies, media, states attorney's office, other govt offices etc etc....the bureaucratic red tape in all these old school industries havent yet allowed for full penetration yet

3. In the tech industry, about 2 trillion is spent on software engineers compensation annually..if AI can optimize that by 15 to 20% which it already can in its current capability thats like about 400 billion in savings...
   so let's assume they take 50% of that as revenue..split between 2/3 AI labs is still $50B+ in just coding spend...the more AI labs make money the more compute theyll need..also with increased productivity better products and tools hitting the market quicker, more value being created everywhere

4. Now even if model intelligence plateaus here..doesnt move up a needle...AI companies will shift to video generation and image generation...the compute required for thsi even more humungous...labs like openai and anthropic arent yet focusing on this cuz they are short on compute and see general intelligence as priority right now.. but just a few years down the lane i think most of your favourite youtubers would be using AI animations in their videos/intros etc..im already seeing that, but less than 0.5% of Youtubers are in on it.. from industries like website design to video animations...it used to take hours to build vector assets for these animations, now it's insanely easier compared to the old school method...as these abilities become more accessible and easier to build, the demand for them will increase exponentially...More Video creators, more website animators, content creators etc can create better visuals with it...5 years down the lane, your CNN's new logo, intro, etc would be AI, their graphs would be AI, if there's an assasination, they would generate a 3D visual of where the bullet came from within minutes of them getting information...Visual content is everywhere...Today's video gen models arent deterministic...needs a bit of skill and proper prompting...have to create 10 editions for 1 proper output...but in 3 years theyll get there and every single thing u see around might be AI generated..like even the sticker thats on your new frying pan box or adverts
   all together demand for chips is gonna go keep going up for at least 5 years from now

ppl keep saying it's a bubble it's a bubble..this in itself makes the bubble unlikely cuz there's so much over cautious analysis being thrown around...it's not like 2007...ya companies like spacex will pay..but compute providers are in for a longer bull run

I have 2 months left. What do u think should be my first priority Strivers a2z sheet or neetcode io's 150 questions for placements

i need someone with good knowledge of the HBM market to answer this. How bad can the shortage get. ik micron will be like cisco of the 2000s after a few years, but not so soon.

I did watch a dwarkesh podcast recently where the guest explained in detail on how worse the HBM shortage is gonna get towards the end of 2026...there has been a 10% raise in prices in the last week. How long can this keep going

idk when to book profits
but near 1 trillion valuation for a HBM company is crazy, but if i look at forward PE it looks dirt cheap if the demand forecasts are true that supply isn't gonna increase for another 2 years

bro who is the one who made the slides....a lot of them dont make any sense at all.

Like it would take a guy with least amount of knowledge on cloud computing to write up a unit like this. i call this the art of bullshitting...theyve just made up stuff on the go..

few of them listed below...how did faults come under classification of distributed systems...i mean the classifications make no sense...u classify things when u can say X is different from Y in Z ways and Y is different from X in the same Z ways...here where is the line being drawn around distributed systems when it comes to fault models????

and more importantly what purpose does this sought of classification serve....hybrid cloud...b2b and b2c..wow

im just 100 slides into the unit 1..and im so done
a piece of art

https://preview.redd.it/hyl0htjdbgzg1.png?width=1394&format=png&auto=webp&s=38bd1002fff9232797331ec4192fe0e2a1bbbdfa

https://preview.redd.it/vw6vmb6yagzg1.png?width=838&format=png&auto=webp&s=34c17987567b92bbbdfb611cf927f824179409bb

Could be tech or non tech....in hypergrowth stage..based out of India or US....

raised funds or raising quite a bit...and with good revenue growth

i did check on angel list...but anyways im still researching

im a 3rd year btech cse student...i believe my portfolio is kinda good...not clones of projects...but products that i thought were good app ideas..vibe coded ofc

my placements start in aug, and im from a good tier 1 cllg...placements are good for cse 12-13 lpa avg...but i feel the companies that are coming here are not places i see myself working 2 years down the lane.

established companies with routine work that is abstracted way too many levels away from the main problem the company solves...this type of work will cook my life i think...idk if im overthinking it

i wanna see my work having real world impact...work in dynamic environments..
Im compiling a list of companies which i would try to reach out...along with attending placements as backup

same as title

CD is lit the worst sub ive ever studied...what should i even fucking refer

preet kanwal slides/prakash CO/ AV summary

the syll is just all over the place....

and more importantly barely 2k engineers around the world would be directly working on compiler design out of 50 million developers..the rest implement on top of it...Niggas are making us study something that's not at all required...

better next time make a course on assembly code...let's all write assembly code programs so it would help humanity