Sharing my vision of the Web 3.0 landscape and how we can successfully navigate the digital transformation of AI & blockchain as the host of Tech & Things.
http://www.scottcbusiness.com/ - all my social channels and latest posts can be found here
IT Entrepreneur, Cryptoanarchist, Agorist, Right-Lib with Voluntaryist influences, blockchain/cryptocurrencies evangelist, right-wing accelerationist and follower of the DIY/hackerspace culture. Always bringing innovation by freedom ethics and related stuff, aiming to evolve free markets around the natural voluntary exchanges. GNU/Linux and FOSS (Free and Open Source Software) Solutions advocate (where open source means reducing costs and free work structures about software/hardware enable creativity for building decentralized tech and enabling the raise of large free-association zones and freedom of speech worldwide).
Always learning about Computing since 3 years old, when I've got my first IBM PC, where I played some native games in Windows 98 and explored some possibilities with MS-DOS CLI full screen. Also, there were some strange and "suggestive" virus lured me to download in my PCs after Vista (mostly worms/Trojans. Yes, I was a real n00b. Hahahahaha), erased some important files of personal/work documents mistakenly from my parents (Good times...) and checking some trends from the old Orkut, like installing on-premise audio players inside the profile, local apps for fun or attending different groups for debates and stuff.
Videogames also have a special spot in my heart, for many years of gameplay and awesome moments of cutscenes that shaped my cultural insight. Online games always made me happy, despite the network/virtual behavior issues keeps carrying on til' this day.
Learning high demand techs like: JS, HTML, CSS, Python, many JS frameworks, Django, Go, Perl, C#, Linux (for networking and programming), Reverse Engineering and Pentest (for Information Security and hobby), Powershell, APIs, Information/Computer Theory, IoT, Network Engineering Essentials and AI-related topics, like Machine Learning and Neural Networks.