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Iti recomand https://www.freecodecamp.org/ .Prezinta intr-un mod usor de inteles tehnologiile necesare pentru construirea unui website. Nu te adanceste prea mult in teorie, o sa iti prezinte pe scurt anumite tehnici impreuna cu exercitii practice, si la final o sa ai un website. Pe masura ce parcurgi acest curs, e indicat sa cauti si in alta parte explicatii pentru ceea ce nu intelegi, sa iti fixezi cunostintele si sa nu continui pana nu stapanesti ceea ce ai invatat pana in acel punct.

Cred ca, teoretic, daca AI s-ar dezvolta suficient, multe pozitii IT s-ar putea inlocui. La inceput, o sa fie AI care face "munca de jos", si noi sa ne batem capul doar cu concepte mai high-level (pana ajunge si AI-ul acolo, and then repeat). Totusi, poate(sper) o sa fie schimbari pozitive per total, poate o mai scoata lumea din "rat race" si oamenii o sa aiba timp sa fie mai mult oameni, si mai putin sclavi moderni, ceea ce s-ar putea sa si imbunatateasca relatiile dintre oameni. Sunt multi oameni care nu fac deloc ceva ce le place, pt ca isi consuma aproape tot timpul cu un job care ii ajuta doar sa supravietuiasca, si asta contribuie la multe lucruri negative. Dar o posibila parte negativa e ca daca ai tehnologie care face aproape totul pentru tine ca om, multi nu o sa isi mai exerseze abilitatile cognitive prea mult, ducand astfel la o scadere a inteligentei (am ajuns la acest nivel de inteligenta ca oameni tocmai prin rezolvarea problemelor pe care le intampinam), cu alte cuvinte lumea o sa se prosteasca si mai tare, ceea ce o sa fie un punct de exploatat pentru unii. Desigur, TV-ul si internetul folosit doar pentru divertisment fac asta deja cu multe persoane, dar sper sa nu creasca prea tare numarul lor in viitor.

VPN providers often advertise their products as a method of surfing the web anonymously, claiming they never store logs of user activity, but a recent criminal case shows that at least some, do store user activity logs. The case in question is of Ryan Lin, a 24-year-old man from Newton, Massachusetts, arrested on Thursday, October 5, on charges of cyberstalking. More on https://www.bleepingcomputer.com/news/security/cyberstalking-suspect-arrested-after-vpn-providers-shared-logs-with-the-fbi/

Trump administration lawyers are demanding the private account information of potentially thousands of Facebook users in three separate search warrants served on the social media giant, according to court documents obtained by CNN. The warrants specifically target the accounts of three Facebook users who are described by their attorneys as "anti-administration activists who have spoken out at organized events, and who are generally very critical of this administration's policies." One of those users, Emmelia Talarico, operated the disruptj20 page where Inauguration Day protests were organized and discussed; the page was visited by an estimated 6,000 users whose identities the government would have access to if Facebook hands over the information sought in the search warrants. In court filings, Talarico says if her account information was given to the government, officials would have access to her "personal passwords, security questions and answers, and credit card information," plus "the private lists of invitees and attendees to multiple political events sponsored by the page." These warrants were first reported by LawNewz.com. Facebook went through seven months of legal proceedings so it could make all three of the Facebook users aware that the government attorneys wanted their online details. "We successfully fought in court to be able to notify the three people whose broad account information was requested by the government," a Facebook spokesperson said Friday. "We are grateful to the companies and civil society organizations that supported us in arguing for people's ability to learn about and challenge overly broad search warrants." http://edition.cnn.com/2017/09/28/politics/facebook-anti-administration-activists/index.html

Pulsul e variabil, in functie de momentul zilei, alimentatie, stil de viata, stres etc. Oricum, nu mi se pare o idee prea sigura sa te autentifici cu parti ale corpului. E ca si cum ai umbla cu parola scrisa pe hartie si stocata in buzunar. In mod sigur nu m-as baza doar pe acest mod de autentificare. Pe de alta parte, e un lucru bun sa apara dispozitive de larg consum care scaneaza cat mai precis corpul, poti depista anumite probleme fara sa mergi la doctor. Lumea nu prea se inghesuie la consultatii numai cand au probleme. Orice descoperire poate duce la alte idei utile.

Cadourile nu inseamna mare lucru intr-o relatie, cel putin cele materiale. Traiti expriente noi impreuna, vizitati locuri noi etc. Asa o sa formati o legatura stransa, nu printr-un schimb de cadouri. Si pe langa asta, ia initiativa, fii hotarat si sigur pe tine. Mentine-i atentia si curiozitatea, n-o lasa sa se plictiseasca. Asta e doar parerea mea.

Revin cu o completare: BugBountyForum mai publica periodic interviuri pe blog - https://bugbountyforum.com/blogs/

Salutare, Vreau sa fac share la un playlist pe care l-am urmarit in ultima vreme, legat de bug bounty hunting. Recomand atat incepatorilor cat si celor cu exprienta, pentru ca oricand se poate invatat ceva nou, sau pot aparea alte idei. Peter Yaworski, autorul cartii Web Hacking 101(o "culegere" cu cele mai intalnite tipuri de vunerabilitati explicate mai pe scurt, insotite de exemple descoperite "in the wild" in ultimii ani), face o serie de interviuri cu unii dintre cei mai buni bug bounty hunters la ora actuala, regasiti in topul HackerOne sau Bugcrowd. In aceste interviuri aflam cum a inceput fiecare, ce metode si procedee folosesc, si multe altele. Fiecare interviu e diferit, fiecare invitat are stilul si modalitatile lui, asa ca sunt multe lucruri de invatat. Avand in vedere ca majoritatea tintelor pe care le abordeaza au deja o echipa de securitate in spate care gasesc majoritatea problemelor, abilitatea de a construi atacuri creative si "outside the box" e esentiala pentru a gasi probleme critice in sisteme. Playlist-ul aici:

Cu placere. Si eu l-am inceput recent. E o introducere buna in conceptele fundamentale. Are review-uri bune si e recomandat de multe persoane care au mai calcat in domeniu.

Salut, Un curs introductiv despre Machine Learning, predat de Andrew Ng: https://www.coursera.org/learn/machine-learning Can I take this course for free? You can access all videos, readings, and discussions, free of charge. You can also submit assignments and earn a grade for free. If you want to earn a Course Certificate, you can subscribe or apply for financial aid. About Andrew Ng: Andrew was a professor at Stanford University Department of Computer Science. He taught students and undertook research related to data mining and machine learning. From 2011 to 2012, he worked at Google, where he founded and led the Google Brain Deep Learning Project. In 2012, he co-foundedCoursera to offer free online courses for everyone. In 2014, he joinedBaidu as Chief Scientist, and carried out research related to big data and A.I. In March 2017, he announced his resignation from Baidu. - https://en.wikipedia.org/wiki/Andrew_Ng About this course: Machine learning is the science of getting computers to act without being explicitly programmed. In the past decade, machine learning has given us self-driving cars, practical speech recognition, effective web search, and a vastly improved understanding of the human genome. Machine learning is so pervasive today that you probably use it dozens of times a day without knowing it. Many researchers also think it is the best way to make progress towards human-level AI. In this class, you will learn about the most effective machine learning techniques, and gain practice implementing them and getting them to work for yourself. More importantly, you'll learn about not only the theoretical underpinnings of learning, but also gain the practical know-how needed to quickly and powerfully apply these techniques to new problems. Finally, you'll learn about some of Silicon Valley's best practices in innovation as it pertains to machine learning and AI. This course provides a broad introduction to machine learning, datamining, and statistical pattern recognition. Topics include: (i) Supervised learning (parametric/non-parametric algorithms, support vector machines, kernels, neural networks). (ii) Unsupervised learning (clustering, dimensionality reduction, recommender systems, deep learning). (iii) Best practices in machine learning (bias/variance theory; innovation process in machine learning and AI). The course will also draw from numerous case studies and applications, so that you'll also learn how to apply learning algorithms to building smart robots (perception, control), text understanding (web search, anti-spam), computer vision, medical informatics, audio, database mining, and other areas.