@vladcostea I often get asked by game studios why we are using bitcoin and not something more popular like solana
my answer is "I get asked that every year since 2013, and every year the 'something more popular' is different"
We're excited to welcome Gordon Thornton as Chief Commercial Officer at ZBD!
Gordon brings over 20 years of experience in gaming and payments, including leading commercialization at Sony and Xsolla. As CCO, he’ll be driving business development and marketing to further accelerate ZBD’s next phase of growth, pushing the boundaries of how money and games interact to drive retention and revenue for studios.
Join us in welcoming him and swing by our booth at @PGConnects Barcelona to say hello (June 15-16).
#Leadership #BusinessGrowth #Fintech #Gaming #Growth
I think modern homes are getting air-conditioning
A lot of current housing is also not very well Insulated, mainly an old Victorian building method to keep air ventilating and stop mould, but it also means it's not air tight which degrades performance of air conditioners, my home was built in 1863 so not really designed for air conditioners lol
but with modern houses they are well insulated and ventilated and suited towards Aircon
Antidote Inside, episode 4!
We sat down with @afilini to discuss his company, Enclavia, which enables any developer to benefit from radically better security, easily.
With use cases across Bitcoin, FinTech, Healthcare and Defence, we' loved diving into his business.
Credit where credit is due. I renewed my UK passport this week and was told it could take up to three weeks.
I needed it back within that window for travel, but didn’t fancy doing the one-day fast-track appointment at a passport office, so I took the risk.
Submitted it on Tuesday. It arrived on Friday.
Fair play to the passport office.
LLMs can build games they can't play.
They can't predict the consequences of their actions. They are inherently incapable of planning and can't predict the next state of the world.
We all know this. We've all seen LLMs make a mistake, correct it, just to make the same mistake again. Or end up in a lobotomized infinite loop of "oh no you're absolutely right" responses.
LLMs are not the efficient frontier.
World models are forced to learn the "physics" of the world during training. They do this purely by observing interactions with the world. World models observe, plan, predict, and take an action.
And they are efficient. Unlike LLMs they present an opportunity for building agents with the ability to learn throughout their life. I've trained a world model of a Snake game on a MacBook (Yann Lecun JEPA style) in just half an hour. After watching me play for a bit and generating many random interactions, the world model is better than most human players.