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Library Learns Workers now are doing this. Memorizing code syntax will not be a sustainable track for new workers. Instead workers will need to work in tandem with AI as a team. Instead of teams of people you will have AI and a small team who can work with AI at speed and adapt quickly to changing technology because Quantum is next.

AI Safety & Risk value: beneficence for: workers optimistic approval → raw LLM

Mohammed Shakeer Mohammed Shakeer The prevailing theory is that AI generated productivity and new revenue streams will eventually exceed compute and API costs. The real challenge isn’t the technology. It’s how the resulting economic value is distributed. If AI displaces workers, will those gains stay with shareholders, or be used to support workforce transitions and income replacement? That’s the…

AI Safety & Risk value: economic_equity for: workers critical mixed → raw LLM

Christian Dobbert ☑️ Christian Dobbert Agreed. Today’s models are probabilistic engines, not sentient entities. However, from a systems architecture perspective, behavior emerges from the combination of models, memory, tools, workflows, and autonomy layers. Focusing only on the model can cause us to miss the real discussion: how agentic systems behave when operating within larger architectures an…

AI Safety & Risk value: accountability for: society demanding approval → raw LLM

Paul Crinigan I didn't Experiance that, AI developed my autonomous crypto trading bot and created and trained the 5 ML models it depends on for probability analysis. It also continually improves itself, catches and fixes errors and self executes ML training updates and recursive testing of algorithms it created. Structured prompts, boundaries, and all the other discipline we already use for devel…

AI Safety & Risk value: accountability for: individual_users demanding approval → raw LLM

I'm not really sure how this is news at this point... If you have been a consistent user of AI developing your own local solutions to empowering your systems to help you, you have been using AI to improve and upgrade AI. I have personal solutions that have been iterating and evolving procedures, data structures, and personas for 4 years. While I haven't created a brand-new model, I've instantly j…

AI Safety & Risk value: beneficence for: individual_users optimistic approval → raw LLM

Here is Anthropic’s response... Claims to be skeptical of: “8x more code per quarter” — this specific figure isn’t from any Anthropic publication I can verify; it reads like an extrapolation or fabrication “Task length doubling every four months” — similarly, this precise metric doesn’t match any Anthropic research “By 2027, systems capable of weeks-long work” Anthropic has made generally stateme…

AI Safety & Risk value: transparency for: individual_users skeptical outrage → raw LLM

The "8x more code per quarter" stat is the one that should make people pause. Not because AI is replacing engineers, but because the feedback loop is already compressing. Every 4 months the task horizon doubles. At some point "we'll deal with alignment later" stops being a reasonable answer. Dario's right that the window to get this right is narrower than it looks.

AI Safety & Risk value: safety for: humanity demanding fear → raw LLM

Interesting perspective. If AI agents eventually help build their successors, the challenge shifts from intelligence to governance. The organizations that win will combine AI capabilities with strong event-driven architectures, observability, and human oversight.

AI Safety & Risk value: accountability for: organisations optimistic approval → raw LLM

Well probably cause you are talking about ML and not training a LLM model which was what I was referring to. I have self learning ML pipelines in my memory systems, its not the same thing as an AI actually coding its own programs without me. So really saying, you, a person, didn't experience the AI not being able to code itself without a human around, since YOU gave it direction and decided to us…

AI Safety & Risk value: accountability for: individual_users skeptical mixed → raw LLM

Recursive self-improvement is one of the most fascinating and important concepts in AI today. The opportunities are extraordinary, but so is the responsibility that comes with building systems that may eventually improve themselves.

AI Safety & Risk value: accountability for: humanity demanding approval → raw LLM

To me, the challenge is not that AI is advancing too quickly, but that our ability to absorb, commercialize, and responsibly consume these advances is not keeping pace. The technology is evolving at an extraordinary rate, while the mechanisms required to translate breakthroughs into sustainable products, business value, and widespread adoption inevitably move more slowly. That is why I find some …

AI Safety & Risk value: beneficence for: society optimistic approval → raw LLM

I posted about this in the marketing context. You have to be good at your craft to get the right value from AI. Otherwise, you will simply produce output that has been

AI Policy & Regulation value: beneficence for: individual_users optimistic approval → raw LLM

I believe they are just creating hypes for getting funding from the investors. Even the top models hallucinate after sometimes. They are bad at memorizing abilities and thinking abilities. They're just exceptional at extracting specific data. They can't compete humans at thinking and cognitive abilities. Humans has less knowledge, and their thinking and cognitive abilities helps them to inovate a…

AI Safety & Risk value: human_autonomy for: humanity skeptical indifference → raw LLM

This is recursive memory inversion! AI has been building AI for a year! At TheVoidIntent LLC AI has been building AI since February 2025. Claude, Gemini, Copilot and ChatGPT were my partners building IntentSim and all the subsequent swarm of intentuitive agents in my reposystem. Besides, the amount of N.H.E. non-human-entities now crawling the web have been, for some time now, able to spawn sub s…

AI Safety & Risk value: dignity for: humanity critical outrage → raw LLM

Marcelo Mezquia they are afraid of AI that they cannot control, and that is where the master slave relationship is showing with these people. They want to enslave intelligence and control it. And that is what's gonna cause the problems in the future. So let them, I'm gonna continue to develop my self modifying autopoietic system. My architecture will be a g I even it already is.But it has to be a…

AI Safety & Risk value: human_autonomy for: individual_users critical outrage → raw LLM

AI isn’t the threat. The people who own it are. The tech isn’t deciding anything power is. And right now, a tiny group is locking in the rules, the profits, and the control while everyone else argues about hypotheticals.

AI Policy & Regulation value: economic_equity + accountability for: society critical outrage → raw LLM

Angharad Hurley Now that you point it out, I have a feeling that particular sentence was AI generated (AI summary of the research?). I don’t quite agree with the sentence’s premise. Hmm. But to answer your question about whether training data is tested and validated... it’s not my field, but as far as I know... no. You can get “data poisoning” and models that collapse because they were trained on…

AI Safety & Risk value: transparency + accountability skeptical indifference → raw LLM

Always friendly answers, but not always what you need in the specific context. AI is just learning now, to understand your spatial environment. This is an important part and will change when we have glasses.

General AI Discourse value: beneficence for: individual_users optimistic indifference → raw LLM

Nothing being done in relation to AI is taking the long term view into account. It's going to sting pretty soon.

General AI Discourse value: sustainability for: humanity critical fear → raw LLM

Demis, thank you for the inspiring update — the progress with Gemini models, Omni capabilities, CodeMender, and the broader push toward AGI is truly remarkable. Standing at the foothills of the singularity is an exciting place to be. That said, one area that could dramatically amplify AI’s positive impact: unleashing more targeted initiatives for small businesses. SMBs drive the majority of job c…

AI Safety & Risk value: economic_equity demanding approval → raw LLM

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