Willis Gibson, 13, closed out 2023 by becoming the first person to officially beat the original Nintendo version of Tetris. Here’s how he did it.
Want to understand the code that caused the ultimate killscreen? Watch this great explainer from HydrantDude.
The 2023 film Tetris is based on the true story of the legal battle to license the game.
Is the era of the robot butler upon us? Mobile ALOHA is a low-cost and whole-body teleoperation system for data collection. Check out some of what it can do.
Ranjan Roy from Margins is back for our weekly discussion of the latest tech news. We cover 1) Whether generative AI is a feature or the underlying tech of new powerful applications 2) Robin AI's recent fundraising 3) Big Technology's latest piece on Snapchat+ 4) Jeff Bezos investing in perplexity AI 5) Google execs investing in a Gen AI search competitor 6) Microsoft copilot app debuts 7) Microsoft and OpenAI's weird competitive dynamic 8) Can Web3 still happen? 9) The implications of bitcoin's recent price rise 10) Pig butchering crypto scams 11) Substack's baffling position toward nazis 12) Peloton patterns with Tiktok 13) Crypto CEO was totally fake
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Travis Howerton, Co-Founder & Chief Executive Officer of RegScale joins the show and allows us to jump into the head of a founder CEO to understand some of the challenges he faces and what he does to stay sharp. We also discuss his thoughts on the future of work, how his experience in government inspired creating RegScale, and what trends he is seeing in government that will impact 2024.
Will AI fundamentally change software development or just add some efficiencies around the edges? Surveys from Stack Overflow and Github find north of 70% have probably already tried using it and many incorporate it into their daily work through a helper in the IDE.
It's also worth reflecting a bit on the technology sectors that didn't have as great a 2023: crypto, VR, and quantum computing still seem far from mainstream adoption.
We dive a little into the half-life of skills, which seem to be shrinking, especially in IT. Got any resolutions to learn something new this year?
And what about the data we use for training? We highlight a comment from Kian Katanforoosh, a lecturer who helped create Stanford's Deep Learning course with Andrew Ng, who says we'll run out of high quality data as soon as 2030.
A big thanks and congrats to Stack Overflow user Corn3lius for helping to answer a question and being awarded a life boat badge: How can I create spoiler text?
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php[architect] magazine is the only technical journal dedicated exclusively to the world of PHP. We are committed to spreading knowledge of best practices in PHP. With that purpose, the brand has expanded into producing a full line of books, hosting online and in-person web training, as well as organizing multiple conferences per year.
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Jonathan Norris lives in Toronto, and has a passion for tech that started early in his life. He has participated in the First Robotics competition, which got him into mechanical engineering, building robots, and leading teams to world championships. He still actively volunteers and mentors people in the program today. Outside of tech, he is a new Dad, and stays quite busy parenting his kid, when he's not riding an eBike to work.
In Winter 2014, Jonathan and his founding team did Y-combinator and formed Taplytics. After doing this for nearly 10 years, what his team noticed was the most passionate users were developers using feature flagging over the core offering of the product. So - they decided to spin out a new brand, to focus on just that.
Meredith Whittaker is the President of Signal and chief advisor to the AI Now Institute. She joins Big Technology Podcast for a lively discussion about the state of Google, whether AI is for real or a marketing gimmick, whether the online advertising business model is ethically broken, and the state of the Signal messaging app. Stay tuned for the second half, where we discuss the mysterious nature of Telegram. And enjoy the cool-headed arguments throughout.
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Along with his work at Stanford, Katanforoosh is a founding member of deeplearning.ai and co-created the Deep Learning Specialization on Coursera.
He believes the rapidly expanding capabilities of AI will mean that humans, and especially programmers, will need to learn new skills faster than ever. This doesn't mean machines are going to take our jobs. Rather, with the assistance of AI, humans will become far more capable, learning faster and mastering more domains.
Not surprisingly, Katanforoosh has built his business with the goal of addressing this issue. Workera aims to help companies identify where their employees lack skills and provide them with personalized instruction that can quickly bring them up to the next level.
Gilad Shriki was born and raised in Israel. He loves the outdoors, and loves to travel. Skiing in a passion of his, and he loves to explore new places in the winter, mentioning that Whistler was his most recent favorite. He started digging tech very early, and his hobbies center around it as well. He loves building things in home automation, like building micro controllers that detect temperature or relay that turn the lights on and off.
Gilad has known his current founding team for many, many years, and their last product was bought by Palo Alto Networks. When looking at what was the next big problem to solve, they dug into authentication and figured out - that this was still a major problem in the ecosystem, for developers and from the standpoint of cybersecurity.
