DLSS 5 goes off the rails in GTA 5
Users modded DLSS 5 to run before image upscaling instead of after. When pausing the game, the AI filter got stuck in a continuous processing feedback loop.
Users modded DLSS 5 to run before image upscaling instead of after. When pausing the game, the AI filter got stuck in a continuous processing feedback loop.
The goal of mathematics has always been about human understanding of the ideas. When a mathematician solves a problem then they can explain to others the new concepts that lead them to this discovery, this proof, and how they came about it.
This is a great application of the study of epistemology – the philosophical discussion of knowing and understanding. It seeks to define the key points required to say we actually know something. In the case of this video – he is describing some of the things he believes are core principles of saying you actually understand a mathematical statement. This is a whole field of understanding and study – and one that I think is really coming to the forefront with the advent of AI.
This isn’t new, since 2010 there have been systems that can mathematically describe phenomenon. The Eureka machine was one of them that brought up this very same question over a decade ago.
The question soon becomes: computers can generate models for us that describe phenomenon; but to say we really know something as humans – we seem to desire more. We want to understand the underlying principles and even purpose. While physical sciences have increasingly stick to answering the ‘what’ without answering purpose/intent/meaning – we absolutely rely on that when deciding the guilt/innocence of human behavior.
Figure AI just told one of it’s robots to jump into a vat of molten steel – and it did so.
We’re getting closer and closer to real life Terminator every day…
Meat Proxy: slang for a human who mindlessly copies/relays between a large language model (LLM) and another person. The phrase was coined by software engineer Niklas Gruhn in an August 2026 blog post titled “Don’t Be a Meat Proxy,” where he complained about coworkers dumping unreviewed AI slop into Slack channels and GitHub code repositories.
Clanker: Originally a sci-fi robot insult from Star Wars, now used online to mock AI, chatbots, customer service bots, or people acting like them.
Slopper: A person who uses generative AI to lazily churn out massive amounts of low-quality text or images (“slop”).
What if Arnold Schwarzenegger was in Napoleon Dynamite? Now you can know – and see how far AI replacement has gone.
Corporate history offers no shortage of cautionary tales—from Enron to WeWork’s early days to Uber’s well-documented cultural crises. Dysfunction at the top eventually undermined performance at scale. Elizabeth Holmes at Theranos exemplified a culture of secrecy, intimidation, and blind loyalty. Dissent was punished, expertise was ignored, and the narrative consistently trumped scientific reality.
Satya Nadella at Microsoft is sometimes used to illustrate the opposite shift—from a combative, arrogant, know-it-all culture to a more open, learning-oriented mindset grounded in humility, curiosity, and collaboration.
So how can you detect a toxic culture? This article suggests you can often spot them by 6 common factors.
If you find your company has started down this path, it will require a lot of work to change it. After all, in a world where talent is the ultimate competitive advantage, culture is not just a backdrop. It is the system that determines whether that talent will thrive or be wasted.
China’s Agibot is trying to sell their new wheeled robots by replacing a few people on an actual tablet manufacturing line that were doing quality testing. They upped the game by live streaming it for 6 straight days.
This is perhaps in a response to the US firm Figure who released their own video of humanoid robots doing most everyday tasks.
I honestly think in the next 10 years these kinds of robots walking around your home doing chores will be the new high-end status symbol.
MOTUS was a game developed that uses optical illusion effects to render – and this method uses it to display text. Individual frames reveal nothing, but when taken at 30fps, the illusion is revealed.
Would be interested to see if adversarial AI model attacks could be made using this method.
Chalk this one up to another AI prompting technique. Try adding this line at then end of any prompt to help remove ambiguity early and avoid later-stage corrections.
“Before you answer, tell me what you need to know to answer well, and point out any assumptions you’d otherwise make.”