Browse Comments — LLM coded

Geographic anchoring may take care of logistical routing but at the same time erase a patient's biological identity by defaulting to Western clinical baselines by increasing genetic and biological blind spots. Medical AI safety requires decoupling genetics from location, prompting for both the physical location of the patient and their specific ethnic health predispositions. This problem is already existing example where patient of different ethinicty vists a GP in a different geograhical location My view is that Medical AI would be more efficent on regional flavour rather than one solution fits all

hey the biggest leap we need in ai right now isnt just better capabilities its moving from controlling model behavior to real consequence controlonce these systems can reason across modalities and act in the real world we have to ask the hard questions what evidence drove the decision what actually changed can it be reversed and most importantly who is accountable when something goes wrongsafety cant stay abstract it needs to become operational with clear auditability and human oversight especially as we push into agents and roboticsthis controllability gap feels like the next major bottleneck what do you think is the most important layer we should be building right now to make ai truly safe in the wild

Well said—declaring "RIP ChatGPT" misses the mark, like swapping out a screwdriver and calling carpentry dead. The real magic is how teams stitch together these AI models into cohesive, value-generating systems that actually do the work, not just talk about it. That’s exactly where platforms like shine. Instead of chasing the latest model hype, Chat Data lets you design robust workflows, link multiple agents, and automate complex processes across text, voice, and much more. It’s about building a reliable AI-powered machine shop, not just showing off shiny new tools.

OpenAI’s new reasoning model produced a novel proof disproving a long‐standing Erdős geometry conjecture, marking what the company calls the first autonomous AI solution to a major open math problem

AI doesn’t replace ambitious people.It exposes passive ones. The students winning right now aren’t always the smartest in the room. They’re the ones shipping weird projects at 2AM, learning in public, breaking tools, fixing them, and moving faster than curriculum updates. Meanwhile some executives are still scheduling a 6-week meeting cycle to discuss whether AI is “relevant.”By the time the committee approves the pilot, an intern has already automated half the workflow with three prompts and a coffee. The future probably belongs to people who can do both:think clearly like humansand move insanely fast with AI.

Honestly if you know all the principles of how to code and you've spent 3 years studying it, you have the cheat code. You have the expertise to orchestrate AI systems and debug better than anyone else. And every business in every domain needs this right now and to become AI first. Lots of money to be made from this right now.

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.

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.

Bhawani Singh After understanding this, I can say with confidence that something possessing human-level capabilities will not be developed in the same way we currently train AI systems. Instead, it will develop much like a human being or any other living organism. It will grow and learn within its environment, much like a child growing up among us. Moreover, it will not be a single machine or a standalone AI system. Rather, it will give rise to an entirely new civilization—one that coexists with humanity and lives alongside us as another intelligent form of life.

AI is already transforming the way we work. The real question is no longer just about its power, but its sustainability. The organizations that will lead tomorrow are those that can balance innovation, business performance, and responsible resource management. Executive leadership must now consider energy impact as a strategic component of AI adoption.✨

Interesting reality check. The conversation should move from “AI replacing humans” to “AI augmenting humans.” The biggest ROI isn't from removing engineers. It's from enabling good engineers to deliver more, faster, and with better quality. When AI is applied indiscriminately, token costs, governance, review cycles, and rework can quickly outweigh the perceived savings.

Altering thoughts or behavior to appease machines (algorithms and data processing) forces self-censorship, curtails authentic expression, purpose, and suppresses individual identity. If AI does not improve and empower human cognition, creativity, and connection, it effectively reduces life to a source of productivity, comparing humans to machines based on speed and efficiency. Each of us was created for so much more! Referring to AI for answers based on the words and creations of humans eliminates the individual quest to explore, think, and act for one’s self. Outsourced thinking and beliefs to a non-human entity is the fastest path to eliminate human values, sovereignty, free will, and domain over the future of life, and the planet. In my humble opinion.

This is where AI gets interesting to me — not as one tool trying to do everything, but as coordinated systems built around specific work. In operations, that same thinking applies. Safety, quality, inventory, uptime, delivery, SOPs, and KPIs should not live in separate silos. The real value is when the system connects the signals and helps people act faster. That is the future of practical execution. Thanks for sharing.

"What Terence Tao is describing isn't AI doing the mathematics; it's AI handling enough of the surrounding work that the researcher can stay in the problem longer. That distinction matters. Augmentation at that level looks very different from automation, and it's probably where AI creates the most durable value: not replacing the expert, but extending how long they can operate at full capacity."

Wrong formula. Confident delivery. And when I objected, a calm reframe that maybe I was the problem. The AI is in its situationship era and I walked right into it.

Summarising historical information based on meeting material and minutes and then concluding what decision was made in a meeting happening 2.weeks into the future and when challenged providing arguments as to why it would be the right decision. Not that it was predicting decisions in the future. Use AI but don't blindly rely on it....its good but not yet excellent.

AI can reduce the time spent finding information. Deciding what to trust remains a human responsibility.

The thing isn't that AI gets things wrong occasionally, it's that it can sound equally convincing when it's right or wrong.

Pablo COSTA, C. M. I agree with his view, the richest 1% of the world have more money than the 99% so yes they are after power and more control of what AI does and its not to bring major solutions to life but to grow their businesses, its easy being an anti-capitalist but what solution does he have then to stop the power of the richest having their hands on AI strategy? zero, he is a politician and is himself benefiting from the power AI beings most probably from AI advertising and yes he is using it for more power himself.

AI has mastered one very human trait: refusing to admit it doesn't know. 😄 The best results still come when confidence is paired with verification. "Trust, but verify" remains a surprisingly effective AI strategy.