phenkdo

yeah the cookie-cutter cover letters are useless, but i've hired people who write: "i love you are working in machine vision, i've worked with x,y and z tech to build _. I could augment your efforts in these fields...".

Call it what you will a cover message or note perhaps.

It stretches credulity that you have that many skills and still unemployed. Employers are hiring just about anyone in tech these days. Where are you located?

You can kvetch about the media all you want, but the job market is the best it has ever been, and unlikely to get any better. Sorry to be harsh here, but if you can't find a job in this market, you ought to reconsider your professional choices.

I have found EasyOCR to be more accurate in OCR than tesseract. Curious to learn about HN-ers experience with those tools.

Hofstadter (GEB) and later Jeff Hawkins (Numenta) have long postulated this theory - and indeed it seems to be compelling - but the prediction-by-analogy paradigm has yet to deliver in a convincing way. Would love to see some progress on this front.

Thank you for being polite, but IMHO my post wasn’t tonally any different than the GP, ergo your indignation is misplaced.

Since you asked, I speak with the experience of starting 3 businesses across Pharma, Defense and Media industries. I have also been involved in hiring multiple people across sectors, both in tech and non-tech jobs. As you also know, for defense that involves White-as-Wonderbread US citizens only, I also have interviewed almost exclusively from a certain complexion-gender combination club. Thus have formed my own pattern recognition, with an n of several hundred. If you are open to listening I can share a few illustrative anecdotes. Admittedly my posts are just opinions as I can only offer my own perspective. Although this study, and multiple others, seems to support my viewpoint.

p.s. Truth hurts.

and conversely "..at a capability we have". Sloganeering like you did is very popular on fora like HN, but the reality is quite different. There is 110% employment in tech even if you a C-grade programmer you have a job, the rest are insufferable, incompetents who are unemployable at any wage.

I couldn't disagree more. The shortage is very real, the current crop of "American programmers" are a bunch of incompetent, entitled brats who seem to think everything is owed to them. Many of these unemployed "American Programmers" are the dregs, the bottom decile of programming talent which no company can employ. And their unemployability is exacerbated by their attitude problems.

note: I am a 3x entrepreneur and my opinions are based on my 2 decades of experience in IT.

> Im dont even get the debate.

There's trillions of dollars of potential damages at stake. Even if this was a Chernobyl type disaster due to mismanagement and negligence, the CCP will be on the hook, and they are all too aware of it. IMHO this debate is healthy & necessary.

From AIDS to COVID-19, America’s Medical System Has a Long History of Relying on Filipino Nurses to Fight on the Frontlines

Actually there's quit a bit of overlap, many H1bs go onto start companies, some apply for an h1b through their own startup. Either way the immigrant entrepreneur almost universally say they find the US just "liberating" (compared to say India).

As someone who argues for the H1b program, I wish the US opts for a points-based system (a la the Canadian system) and make the (current lottery) H1b a 5/10 year temporary green-card based on points.

* Points for education level MS/PhD,

* Salary indexed to COL,

* Job location (Kansas earns higher points vs SF),

* some points for scholarly merit (patents, peer-reviewed publications) and so on...

This would address the some legitimate concerns of US workers, make the process transparent and orderly, but also keep the tech economy rolling. The current system is asinine and needs serious reform.

This is one of the greatest things the US has - immigrant entrepreneurs == entrepreneur^2 - and would be foolish to shut it down.

As a video/movie/tv show lover, I love http://www.reelgood.com The mobile app is as good if not better than the browser version.

Interesting, I heard another theory that it was due to some flying predator during our cave-people days that was our deadliest threat, and evolution baked-in that threat-sense into humans.

Is this similar to the misophonia over nails over a chalkboard?

Interesting. Thanks for responding.

1. Did you look at CLIP? it provides a common (to images & text) embedding.

2. Do your models need specialized training (vs. open models)?

Searching with text tags seems a bit odd, couldn't you search-by-example with image embeddings? or is the scale too large for an ANN to handle?

how does this compare to milvus?

AFAIK for conditioned reflexes (and most habits), the basal ganglia is responsible. The amygdala is the alarm center that kicks in for life/death situations.

caveat: have cursory knowledge of neuroscience

"WW2 was won with British intelligence, American industry and Soviet blood" - unknown

It's not Buddhism per se, The Zoroastrians (religion of pre-islamic Persia) also practice this by leaving the bodies in "towers of silence" for birds of prey to devour them.

However, for everyone of those examples there are many counter-examples: Intel came out of Shockley, ex-IBMers went onto found several other companies (SAP, Peoplesoft,...)...

So Im skeptical of this outsider/insider characterization, IMHO it's almost always the individuals.

how does this do with large-scale searches >10M+ rows? any benchmarks on performance?

the usual yet-another-moving-part (YAMP) complexity.

Love it! Need better ANNs approaches in databases, using external servers such as Milvus, faiss is a pita

related: https://github.com/netrasys/pgANN

I found easyocr to be the most accurate. Tesseract was meh.

Before deep learning (ca 2013), the SOTA was using descriptors: KAZE, SIFT, SURF, ORB etc use keypoints & descriptors based matching.[1] . Other approaches relied on shape (edge), color matching using color and shape histograms comparisons e.g. HOG [2].

Plenty of approaches existed prior to deep learning, it's just that DL just blew those out of the water with its performance.

p.s. BTW I would bucket these approaches as ML too. ML >> DL

[1] https://docs.opencv.org/master/db/d27/tutorial_py_table_of_c...

[2] https://docs.opencv.org/master/d5/d33/structcv_1_1HOGDescrip...

This doesn't describe what traditional CV approach this uses, presumably descriptor based ones: A-KAZE, SIFT etc. do work well for such scenarios. So both Deep learning and traditional machine vision have their place.

I am in the US and we hear such statements even from SV engineers who make wow salaries. So "enough" is in the eyes of the beholder.

"less pay" isn't something you get to define all on your own, it is a 2-way street.

Programmers are already among the highest paid professions anywhere, so it's laughable that they complain about "less pay". Who's next? hedge fund managers and investment bankers complaining about low bonuses?

Is the common crawl index [1] not being used by search engines? Could someone chime in as to its relative anonymity in many such articles.

[1] https://commoncrawl.org/