Browse Comments

Read, filter, and explore individual value-coded comments from the LinkedIn corpus.

↓ Export filtered CSV
607 comments matched  ·  page 27 of 31
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 alrea…
AI Safety & Risk value: safety + fairness for: vulnerable_groups demanding outrage → raw LLM
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 …
AI Safety & Risk value: safety + accountability for: humanity demanding approval → raw LLM
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 mul…
AI Research & Models value: beneficence for: organisations optimistic approval → raw LLM
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 Research & Models value: beneficence for: humanity optimistic approval → raw LLM
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 comm…
AI Safety & Risk value: beneficence for: individual_users optimistic approval → raw LLM
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 Safety & Risk value: beneficence for: individual_users optimistic approval → raw LLM
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 potent…
AI Research & Models value: beneficence for: humanity optimistic approval → raw LLM
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.
AI Safety & Risk value: beneficence for: humanity optimistic approval → raw LLM
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 s…
AI Research & Models value: beneficence for: humanity optimistic approval → raw LLM
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.✨
General AI Discourse value: sustainability for: organisations optimistic approval → raw LLM
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.
Workplace & Jobs value: beneficence for: individual_users demanding approval → raw LLM
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 crea…
AI Safety & Risk value: human_autonomy + dignity for: individual_users critical outrage → raw LLM
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 execut…
AI Research & Models value: beneficence for: individual_users optimistic approval → raw LLM
"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."
AI Research & Models value: human_autonomy + beneficence for: individual_users optimistic approval → raw LLM
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.
General AI Discourse value: accountability for: individual_users critical outrage → raw LLM
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.
General AI Discourse value: human_autonomy for: individual_users demanding approval → raw LLM
AI can reduce the time spent finding information. Deciding what to trust remains a human responsibility.
General AI Discourse value: human_autonomy for: individual_users optimistic approval → raw LLM
The thing isn't that AI gets things wrong occasionally, it's that it can sound equally convincing when it's right or wrong.
General AI Discourse value: transparency for: individual_users critical indifference → raw LLM
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 a…
AI Policy & Regulation value: economic_equity for: society skeptical outrage → raw LLM
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.
General AI Discourse value: transparency for: individual_users demanding approval → raw LLM
← Prev 1 2 3 25 26 27 28 29 30 31 Next →