Browse Comments — Clean (de-noised)

Love the analogy! Luís Rodrigues 👏🙌

Move this image upside down,,and that will be the position Muslims do more than 50 times, five times a day, that is called Sallah "Prayer."

your videos will never cease to amaze me. Love it Tianyu

Platform consolidation usually wins enterprise adoption because operational friction compounds faster than model capability improvements internally.

Michael James Folliett thanks!

Adrien Thomas thanks mate

People often rush to cancel their subscriptions out of frustration simply because they aren't matching the model to their actual objective. If your team needs deep reasoning and context memory, tools like Claude are naturally going to feel like a massive upgrade over ChatGPT's standard chat interface. It’s not that the older platforms are dead—it's just that the market is finally growing up and demanding platform-specific specialization.

Hey Ravi, really great insights on fasting! What’s your advice for folks to customize their fasting plans based on their own health goals?

AI may expand what researchers can discover, but perhaps its greatest impact will be enabling more people to participate in creating value. The future is not only about smarter systems, but about amplifying human potential at scale. This is the direction we are exploring: developing models that combine technology, human participation, and value distribution. We believe there is significant potential for collaboration with global companies to create solutions capable of reaching and benefiting more people worldwide.

The 'who decides' question sounds like it belongs in a policy debate, but in practice it's dozens of smaller calls. Who owns the training data. Who sets the acceptable use policy. Who decides a model is good enough to deploy in a high-stakes context. Those decisions are being made right now, mostly by engineers and product managers with no mandate to be making them and no support structure that treats them like they are.

Paul Storm This is such a timely observation about workflow friction being the real bottleneck. It’s inspiring to see solutions emerge that aim to unify creative processes, allowing us to focus on invention rather than tool management. This move towards integrated workspaces feels like the natural next step for innovation.

Interesting observation

Obviously they have created a monster and once again humanity is on the wrong side of it. We want to destroy ourselves faster than ever it is devastating.

If AI takes over repetitive work, that's not the end of human value it's an opportunity to focus on problems that actually require human insight.

Workflow fatigue is real, and the winners will simplify execution.

Integration is powerful, but so is clarity around when human judgment remains essential. The most effective systems tend to combine efficiency with thoughtful oversight rather than replacing one with the other.

I'm interested to know if you think that the current situation is better. Stack Overflow wasn't perfect, and the issues you described were definitely true. However, SO forced users to really think about the question they were asking in their attempt to understand a solution. With modern AI tools, you simply get the answer without having to work for it, or understand it at all.

Cannibals 😂

The real AI advantage is removing friction between ideas and execution.

Reducing friction is the name of the game. It increases productivity and engagement. Becomes easier for us to do our jobs.