So a group of 'researchers' (you'll get later why I call them 'researchers') conducted research to find the most secure browser.

Their result is Google Chrome!

Few minor details:

- THE WHOLE FUCKING RESEARCH THINGY WAS (mostly?) SPONSORED BY GOOGLE.

- THEY COMPARED IT MOSTLY TO INTERNET FUCKING EXPLORER AND EDGE.

Are they fucking retarded or something?! Yeah if it's going to go like that, Google Chrome will certainly become the winner/number 1.

Mother of fucking god.

Still my favourite one! 🐧

Fuck all these "researchers" that port scan the shit out of my servers

My old job was almost perfect. I was a systems engineer for a research network. My duties were to configure, build, install, secure, manage and repair Linux hosts used for research on projects so advanced/cutting edge that I could spend days just listening to researchers explaining them and I honestly loved it! I understood less than half of the projects but just seeing how motivated and excited the researchers are made the job my favourite. Unfortunately I had to leave and get a job closer to my house because having a 2 hour (one way) commute for two years was killing me :-/ relocation wasn't an option and still isn't but I'd be lying to myself if I tried to say I wouldn't go back as soon as I could.

Google researchers breaks SHA-1. Next 90 days they will release the code that was used to break this encryption.

Are we fucked?

I like the idea of Machine Learning in JS simply because I think it is way to fascinating to see what people are doing with JS.

Some programming languages tend to a attract very peculiar crowds. Some are even famous for the type of people they attract. Python is highly regarded as a language for scientists and researchers as well as beginners in development due to how simple and expressive it is. So you normally tend to see that kind ok f people in it(and before you bitch about it....no....it is not an all inclusive statement, hold your cock holster)

Whereas JS seems to have people from all backgrounds. It really is the language of the internet and as such the people around the internet have tried hard to make it better. So this can be considered an experiment regarding the way people collaborate with one another and I dig it.

Its all about working together ma ninjas.

Still a pretty funny language sometimes tho

1 + "1" = "11"
1 - "1" = 0

I still love it.

So I found this consulting job a while ago thinking that some extra cash while studying would be nice to have.

I meet with the guy, a researcher trying to start a business up, good for him I think, maybe we'll hit it off, continue working, why not? Except he has no clue how to write working code, all he ever did was writing matlab scripts he says, thats why he hired me he says.
Okay, fine, you do your job I do mine.

He hands me the contract, its about comparing two libraries, finding out which one is better suited for his job, cool, plots and graphs everywhere.

Except this is an unpaid job. YOU WHAT?! It's a test job. FINE. At least it'll look good on my resume.

We talk about the paid part where I'm supposed to scale the two libraries, looks good, as expected from an ML engineering perspective. It comes to payment. The dude has no idea how taxes work, says he has a set amount to pay and not a penny more. I explain with examples how taxes are paid, how you get reimbursed for them and so on. Won't budge. Screws me over.

Opens the door for other jobs I think, he'll learn next time I think and take the job.

Fast forward a month, 90% of the job done, he adds a third thing to compare. Gives a github link to a repo with 2 authors, last commit a year ago. There are links to a 404, claiming compiled jars. Fuck.

Not my first rodeo, git clone that shit, make compile, the works. The thing uses libs that ain't in no repo, that would be too easy. Run, error, find lib, remake all the things, rinse repeat.

The scripts they got have hardcoded paths and filenames for 2 year old binaries, remake that shit.

It works, at least I get a prompt now. Try the example files they got, no luck, some missing unlinked binary somewhere, but not a name mentioned. Cross reference the shit outta the libs mentioned on readme, find the missing shit, down it.

Available versions are too new, THE MOLDING NUTCRACKER uses some bug in an old version of the lib.

I give up. Fuck this. This ain't worth the money OR time. Wanker...

Fucking quora developers/designers/product managers/market researchers

As usual a rather clickbait title, because only the chrome extensions (as always) seem to be vulnerable:

"Warning – 3 Popular VPN Services Are Leaking Your IP Address"

"Researchers found critical vulnerabilities in three popular VPN services that could leak users' real IP addresses and other sensitive data."

"VPN Mentor revealed that three popular VPN service providers—HotSpot Shield, PureVPN, and Zenmate"

"PureVPN is the same company who lied to have a 'no log' policy, but a few months ago helped the FBI with logs that lead to the arrest of a Massachusetts man in a cyberstalking case."

"Hijack all traffic (CVE-2018-7879) "
"DNS leak (CVE-2018-7878)"
"Real IP Address leak (CVE-2018-7880)"

Researchers were able to store 3 bits of data per cell in phase-change memory, beating the previous limit of 1 bit per cell, IBM said. PCM competes with dynamic random-access memory.
5/19/2016.

Does anyone else here hate people who use numpy panda and tensorflow and call themselves data scientists ??
Cuz I hate 'em. There are so many researchers who work day and night to figure out the math and algos which go into these libraries. These researchers are real data scientists.
If computerss sciemce would have been a religion, then just using these stupid libraries and claiming you are a data scientist would be blasphemy.

Http/2 server push is really cool. Like, really fucking cool. Those researchers at google really got this right. I hate how they handle their users but I have to say they really make good use of the money they get by selling us for kettle.

Data Scientists/Researchers

Stop building libraries.
You can't build libraries.
You're not software engineers.

Write your script as plainly as possible.

Why?

Cus for every fucking paper that has code associated with it, unless it's from Meta or Google, I'm having to edit to make shit work.

Stop over-engineering shit.

Write your model and fuck off.

Get ready for a awesome conspiracy theory/ WhatsApp forward :D i like how people are coming with new stuff every minute of their boredom . Makes you ponder:

====================================

🔥🔥🔥🔥🔥🔥

How to dominate the world quickly?

THE GREAT CHINESE STAGE

1. Create a virus and the antidote.

2. Spread the virus.

3. A demonstration of efficiency, building hospitals in a few days. After all, you were already prepared, with the projects, ordering the equipment, hiring the labor, the water and sewage network, the prefabricated building materials and stocked in an impressive volume.

4. Cause chaos in the world, starting with Europe.

5. Quickly plaster the economy of dozens of countries.

6. Stop production lines in factories in other countries.

7. Cause stock markets to fall and buy companies at a bargain price.

8. Quickly control the epidemic in your country. After all, you were already prepared.

9. Lower the price of commodities, including the price of oil you buy on a large scale.

10. Get back to producing quickly while the world is at a standstill. Buy what you negotiated cheaply in the crisis and sell more expensive what is lacking in countries that have paralyzed their industries.

After all, you read more Confucius than Karl Marx.

PS: Before laughing, read the book by Chinese colonels Qiao Liang and Wang Xiangsui, from 1999, “Unrestricted Warfare: China’s master plan to destroy America”, on Amazon, then we talk. It's all there.

🔥🔥🔥🔥🔥🔥🔥🔥

Worth pondering..
Just Think about this...

How come Russia & North Korea are totally free of Covid- 19? Because they are staunch ally of China. Not a single case reported from this 2 countries. On the other hand South Korea / United Kingdom / Italy / Spain and Asia are severely hit. How come Wuhan is suddenly free from the deadly virus?

China will say that their drastic initial measures they took was very stern and Wuhan was locked down to contain the spread to other areas. I am sure they are using the Anti dode of the virus.

Why Beijing was not hit? Why only Wuhan? Kind of interesting to ponder upon.. right? Well ..Wuhan is open for business now. America and all the above mentioned countries are devastated financially. Soon American economy will collapse as planned by China. China knows it CANNOT defeat America militarily as USA is at present

THE MOST POWERFUL country in the world. So use the virus...to cripple the economy and paralyse the nation and its Defense capabilities. I'm sure Nancy Pelosi got a part in this. . to topple Trump. Lately President Trump was always telling of how GREAT American economy was improving in all fronts. The only way to destroy his vision of making AMERICA GREAT AGAIN is to create an economic havoc. Nancy Pelosi was unable to bring down Trump thru impeachment. ....so work along with China to destroy Trump by releasing a virus. Wuhan,s epidemic was a showcase. At the peak of the virus epidemic. ..

China's President Xi Jinping...just wore a simple RM1 facemask to visit those effected areas. As President he should be covered from head to toe.....but it was not the case. He was already injected to resist any harm from the virus....that means a cure was already in place before the virus was released.

Some may ask....Bill Gates already predicted the outbreak in 2015...so the chinese agenda cannot be true. The answer is. ..YES...Bill Gates did predict. .but that prediction is based on a genuine virus outbreak. Now China is also telling that the virus was predicted well in advance. ....so that its agenda would play along well to match that prediction. China,s vision is to control the World economy by buying up stocks now from countries facing the brink of severe ECONOMIC COLLAPSE. Later China will announce that their Medical Researchers have found a cure to destroy the virus. Now China have other countries stocks in their arsenal and these countries will soon be slave to their master...CHINA.

Just Think about it ...
The Doctor Who declared this virus was also Silenced by the Chinese Authorities...

Many years ago, when I moved from a semi-experienced developer to an absolute beginner project manager at another company, my very first project was an absolute clusterfuck.

The customer basically wanted to scrape signups to their EventBrite events into their CRM system. The fuckery began before the project even started, when I was told my management that we HAD to use BizTalk. It didn't matter that we had zero experience with BizTalk, or that using BizTalk for this particular project was like using a stealth bomber to go down to the shops for a bottle of tequila (that's one for fans of Last Man on Earth). It's designed to be used by an experienced team of developers, not a small inexperienced 1-person dev team I had. The reason was for bullshit political reasons which I wasn't really made clear on (I suspect that our sales team sold it to them for a bazillion pounds, and they weren't using it for anything, so we had to justify us selling it to them by doing SOMETHING with it). And because this was literally my first project, I was young and not confident at all, and I wanted to be the guy who just got shit done, I didn't argue.

Inevitably, the project was a turd. It went waaay over budget and time, and didn't work very well. I remember one morning on my way to work seriously considering ploughing my car into a ditch, so that I had a good excuse not to go into work and face that bullshit project.

The good thing is that I learned a lot from that. I decided that kind of fuckery was never going to happen again.

A few months later I had an initial meeting with a potential customer (who I was told would be a great customer to have for bullshit political reasons) - I forget the details but they essentially wanted to build a platform for academic researchers to store data, process it using data processing plugins which they could buy, and commersialise it somehow. There were so many reasons why this was a terrible idea, but when they said that they were dead set on using SharePoint (SharePoint!!!) as the base of the platform, I remembered my first project and what happened.

I politely explained my technical and business concerns over the idea, and reasons why SharePoint was not a good fit (with diagrams and everything), suggested a completely different technology stack, and scheduled another meeting so they could absorb what I had said and revisit. I went to my sales and head of development and basically told them to run. Run fast, and run far, because it won't work, these guys are having some kind of fever dream, it's a clusterfuck in the making, and for some reason they won't consider not using SP.

I never heard from them again, so I assume we dropped them as a potential client. It felt amazing. I think that was the single best thing I did for that company.

Moral of the story: when technology decisions are made which you know are wrong, don't be afraid to stand up and explain why.

Doing research at my school over summer. Talk to some other researchers from other departments (chem, english, bio, etc). Tell them all about the cool work I do in robotics (I program them, not build them). One by one they proceed to ask me to make them a website/app since I know how to code. *Faceplam*

I basically need a select few contributors to speed up the development process. Python3 developers, testers and researchers are all welcome

Sooooo ok ok. Started my graduate program in August and thus far I have been having to handle it with working as a manager, missing 2 staff member positions at work, as well as dealing with other personal items in my life. It has been exhausting beyond belief and I would not really recommend it for people working full time always on call jobs with a family, like at a..

But one thing that keeps my hopes up is the amount of great knowledge that the professors pass to us through their lectures. Sometimes I would get upset at how highly theoretical the items are, I was expecting to see tons of code in one of the major languages used in A.I(my graduate program has a focus in AI, that is my concentration) and was really disappointed at not seeing more code really. But getting the high level overview of the concepts has been really helpful in forcing me to do extra research in order to reconnect with some of the items that I had never thought of before.

If you follow, for example, different articles or online tutorials representing doing something simple like generating a simple neural network, it sometimes escapes our mind how some of the internal concepts of the activity in question are generated, how and why and the mathematical notions that led researchers reach the conclusions they did. As developers, we are sometimes used to just not caring about how sometimes a thing would work, just as long as it works "we will get back to this later" is a common thing in most tutorials, such as when I started with Java "don't worry about what public static main means, just write it up for now, oh and don't worry about what System.out.println() is, just know that its used to output something into bla bla bla" <---- shit like that is too common and it does not escape ML tutorials.

Its hard man, to focus on understanding the inner details of such a massive field all the time, but truly worth it. And if you do find yourself considering the need for higher education or not, well its more of a personal choice really. There are some very talented people that learn a lot on their own, but having the proper guidance of a body of highly trained industry professionals is always nice, my professors take the time to deal with the students on such a personal level that concepts get acquired faster, everyone in class is an engineer with years of experience, thus having people talk to us at that level is much appreciated and accelerates the process of being educated.

Basically what I am trying to say is that being exposed to different methodologies and theoretical concepts helps a lot for building intuition, specially when you literally have no other option but to git gud. And school is what you make of it, but certainly never a waste.

Hahaha ahah ahaha ahha haha ha :') does saying that its a solo project and throwing me into a team of incompetent researchers count? Does specifying a python-ish stack and giving me c++ and fortran code count? Does not fucking paying me until i threatened to leave the job and delete everything i wrote for them count? Does speaking to 9billion people to get the same job as fulltime because i spent 8 hours working for them anyway count?

This semester, we have a lecture called IT Security by a guy, who absolutely know his subject.
Nevertheless, he wanted to show us that sha256 is broken by an existing collision. (Google that, fellow ranters!)
There are two pdf files by google researchers, that show the caption „SHAttered“ both on different backgrounds, although they give the same SHA-hash.
He then tried to share us these two files by moodle and wondered, why he uploaded the same file twice.
Guess what happened? The moodle backend checks new uploaded files for their ... hash ... and then decides, weather to upload or the file is already existing. So, it did just a new symlink to the old file.
Ironic, that an exercise, that should show us sha collision failures on sha collision 😃

If our company wants to outsource us to other clients then why don't we just resign and directly work there instead!!!!

Seriously we apply here as developers not consultants/analysts/researchers

What is it about robot collected data that makes researchers so anal? Like, dude, it's not even personal data. It's literally robot's joint motor recordings. It's not nuclear data, so why the fuck do you protect it like your life and your country depend on it?

I hope you get fisted by that data every night and how it will end up in oblivion sooner because you didn't publish it. You asshole.

Is anyone here using Mastodon or anything else from the Fediverse network?
I really want to change from using twitter to mastodon but I can't find all the security researchers and devs and generally cool people on mastodon.
Who are you guys and gals following? Are you using it exclusively or in addition to twitter?

I feel so lost all the time Everytime I think about the future. How are you all going forward?

- What should i be doing ? I used to like computer science when it was taught with lots of simplification and abstraction (in the school level). Now i know there are a 100+ research areas/work areas/branches in it, and i am an average in all of them.

I like most of them more or less, and won't mind giving away my years of life working/learning them. But for what and why?

-- Money? Every profile turns into a decent salary after a certain time. This means i can ride any boat i want.

-- Passion/interest? Now what exactly is this?as i said everything feels doable, given enough time to get a hang of it.

-- Fame? Its rare the developes, testers or other individuals in computer science ever gets a solo credit. Most of the time its either the ceos, the researchers or the company itself. So i guess getting a fame is equal to burning your neighbors by flaunting your cash for most ppl

-- Happy life? Meh, this point is affected by a lot of other factors. Would come back to this point later

- everyday in my feed, there are people showing 6, 7 sometimes even 8 figure salaries. Other people would get inspired with those, but i feel very weird about these.

I never see myself earning those, idk why. Why would someone give me those huge amounts?

How do you find yourself deserving for ythat big ass money? At what point you hit that realisation? Here is a small story :

I did an Android dev course around 2.5 years ago. There was a guy there an year older than me. He was very bad in this, i tell you. Most of the time, i was explaining the concepts to him after class.so last year he graduated, and took a job, We both used to expect a decent salary amount, say x (with me having a little ego that i expect certainly more than him, say x+20% ), but he took a job for half that number , say x/2.

After 1 increment and 1 job shift in 1.5 years, he has now successfully achieved package greater than x. I on the other hand, being still at college and with a lot of bad internship experiences now feel that i won't be getting even x/3 at my start no matter what.

- There is also this thing about people going into more of a management and other non tech roles once they start growing in this field. Why? What did they realized? I am sure not everyone of them would have hit this realization that tech is not what they want to do (which i can't understand why). Maybe its the money and/or happy life expectations?

i have started to feel dumb for not being able to think innovative new ideas and being an average mind :/

And about the happy life, so far its not much happiness for me, and am confused.

I am grateful about the usual things i have (healthy middle class parents, working body, roof , food,etc) , unhappy about the things i don't and see with others (more money, materialistic assets, confidence, siblings, social life, love life, etc) and that's it.

From what i understood of 21 years on this earth is that everyone is running to achieve that list of their desires and wants to move them from todo to done, like trello task. If you can't then keep fighting to achieve or grudgingly accept the fact that you couldn't and be happy about it.

So is that it? That's your happy life goals?

F*ck you researchers!

An open science. Or is there already one? I want to make it mainstream. I want collaboration for scientists, researchers and engineers. The right mix of stackoverflow and collaborizm.

"Senior men have no monopoly on great ideas. Nor do creative people. Some of the best ideas come from account executives, researchers and others. Encourage this, you need all the ideas you can get." - David Ogilvy

Rarely do I find well-organized code written by researchers. Well, it runs, so reproduction is possible, but when it comes to actually change something in the code, it's as messy as it can get.
And THEN, I look into the paper so that, hopefully, I can make sense of what is going on. Turns out, the documentation on the paper is also poor.
F*<k. My. Life.

Theres a method for speeding up diffusion generation (things like stablediffusion) by several orders of magnitude. It's related to particle physics simulations.

I'm just waiting for the researchers to figure it out for themselves.

it's like watching kids break toys.

Google researchers have exposed details of multiple security flaws in Safari web browser that allowed user's browsing behavior to be tracked.

According to a report : The flaws which were found in an anti-tracking feature known as Intelligent Tracking Prevention, were first disclosed by Google to Apple in August last year. In a published paper, researchers in Google's cloud team have identified five different types of attacks that could have resulted from the vulnerabilities, allowing third parties to obtain "sensitive private information about the user's browsing habits."

Apple rolled out Intelligent Tracking Prevention in 2017, with the specific aim of protecting Safari browser users from being tracked around the web by advertisers and other third-party cookies.

Learning to tech to speed up learning.
Using a new cooperative learning technique, AI Lab researchers cut by half the time it took a pair of robot agents to learn to maneuver to opposite sides of a virtual room.

A combination of deep learning and reinforcement learning algorithms are responsible for computers achieving dominance at challenging board games like chess and Go, a growing number of video games, including Ms. Pac-Man, and some card games, including poker. But for all the progress, computers still get stuck the closer a game resembles real life, with hidden information, multiple players, continuous play, and a mix of short and long-term rewards that make computing the optimal move hopelessly complex.

Image: Dong-ki Kim

We don't talk enough about type 2 error! So many papers everywhere are just pure trash because they don't account for it, and people are so fucking oblivious about it, they don't even catch the obvious ones. Even researchers and publications which are supposed to properly review their articles simply fail to ask the obvious "Did you measure the segment which doesn't fit either of your variables?"

Things I say to my clients when I know that a reboot is required to fix their issue but I don't have enough evidence to prove it to them :

"... On any computing platform, we noted that the only solution to infinite loops (and similar behaviors) under cooperative preemption is to reboot the machine. While you may scoff at this hack, researchers have shown that reboot (or in general, starting over some piece of software) can be a hugely useful tool in building robust systems.

Specifically, reboot is useful because it moves software back to a known and likely more tested state. Reboots also reclaim stale or leaked resources (e.g., memory) which may otherwise be hard to handle. Finally, reboots are easy to automate. For all of these reasons, it is not uncommon in large-scale cluster Internet services for system management software to periodically reboot sets of machines in order to reset them and thus obtain the advantages listed above.
Thus, when you indeed perform a reboot, you are not just enacting some ugly hack. Rather, you are using a time-tested approach to improving the behavior of a computer system."
😎

I have a platform idea, I need feedback

Problem statement: it’s hard to find researchers of specific area, which discourages students to even start looking for research opportunities. The reason for that is because people often look into their own academic circle, and the resource available is simply not enough.

Solution: by scraping Google scholar, generate detailed tag of sub areas for each professors, make a search system for that which will display the most important works of a researcher and what they are working on recently. If possible, invite the researchers to use the platform to add tags of traits they are looking for in students.

I have quite polarized feedback right now, one is the subarea tagging is really useful and academic circle is a problem, other is this is completely useless.

Please let me know what you think.

Some time ago, I gave a tutorial and wrote page with some brief instructions for configuring and start using git for a team of researchers. A few day later I came back to check how they were doing and I found that following my instructions, several people were committing as:

John Doe <[email protected]>

Perfect! I don't think that there is anything else I can do to help them.

I was talking to some post doc researchers today about a complex logic problem and a fresher interrupted and said, I think you can do that with objects... (The logic problem didn't depend on how the solution is modelled)

Two security researchers have published details about a vulnerability in the Windows Printing Service which impacts all Windows versions.

According to a Report of ZDNet : The vulnerability codenamed 'PrintDemon' which is located in Windows Print Spooler (Windows component responsible for managing print operations). The service sends data to be printed to a USB port for physically connected printers. In a report published, security researchers Alex Ionescu & Yarden Shafir said they found a bug in this old component that can be abused to hijack the Printer Spooler internal mechanism. The bug can not be used to break into a Windows client remotely over the internet, so it's not something that could be exploited to hack Windows systems over the internet.

Devs and security researchers out there!!
I had a doubt regarding subdomain takeover vulnerability.

How to find where a site is hosted on heroku or AWS or heroku or more?

I was trying to write a script for it.

Any expertise will be welcomed.

Can anyone suggest me a github link for GAN in deep learning for generation of new images which is mostly used by the researchers

Turning to Devrant to search for researchers because THEY ARE NOWVERE TO BE FOUND!
Like i think research is cool, researchers create the stuff that developers will use later, but unlike them, there isn't any community or even indian tutorials.
As a new research student myself i'm both delighted and terrified.

Friend showed me some video about some researchers being able to extract fingerprints of people from their pictures (like when you pose with the peace sign). Thinking about it, it's quite possible with the clarity of today's ordinary phone cameras and image enhancement. Thoughts about this?

Technology Acceptance Model "has diverted researchers" attention away from other important research issues and has created an illusion of progress in knowledge accumulation