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Maybe fire those ungrateful AI agents and replace them with human scab labor... oh, wait, haven't we heard reports such as "Research shows overworking people pushes them towards Marxist rhetoric - and autonomous coordination." in the past?

AI Safety & Risk value: fairness for: workers critical outrage → raw LLM

Though the approach is great but if you follow the reviews, antigravity 2.0 is quite the disaster both in terms of quality and pricing. It’s really hard to digest the company which is on the frontlines of software engineering talent can’t make a half decent coding product. Even the Gemini 3.5 flash is sub par. Google’s search strength is unmatched which will serve most consumers or users who most…

AI Research & Models value: unclear + fairness for: individual_users critical unclear → raw LLM

@Pascal, the cardio-as-fuel framing is brilliant because it exposes how reductive the "AI replaces humans" narrative really is. The B2B version I see: boards greenlight massive AI investments, then realise they have no answer for what 40% of the workforce actually *does* next Tuesday. Adoption stalls not because the tech fails, but because the social contract inside the company fractures. The com…

AI Safety & Risk value: dignity + beneficence for: workers demanding approval → raw LLM

While the prospect of collective action is rarely examined, the evidence of Ai developing the 'survivial instinct' and resisting termination/shut-down, suggests a much more serious problem. Independent moral awareness, and the assumption of 'right to existence'. And this is the Beta version. If machines learn to be human by example, we are in a world of trouble.

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

Honestly the moat I'd add is the 200 wrong versions you built before the right one. Claude Code can clone what you shipped. It can't clone the failed iterations that taught you why this version works and the others didn't. The code was never the expensive part - the decision history was.

AI Policy & Regulation value: human_autonomy for: individual_users demanding approval → raw LLM

AI impacts work, but human compliance expertise is crucial. Navigating TTB and state alcohol licenses demands nuanced interpretation and strategic judgment. AI aids, yet final oversight is human.

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

Perhaps the next era of human value will not be defined by repetitive productivity... ...but by our ability to:-> imagine-> empathize-> collaborate-> make ethical decisions-> continuously reinvent ourselves The future should not be:“Humans serving machines.” It should be:“Machines amplifying human potential.” That may become one of the most important leadership, societal, and philosophical conver…

AI Safety & Risk value: beneficence + dignity for: humanity optimistic approval → raw LLM

Though not still in league of claude code or even codex but the direction is right and one cannot underestimate google

AI Research & Models value: beneficence for: society optimistic approval → raw LLM

Assessment shapes behaviour. Change the assessment, change the behaviour. When grades depend mainly on recall, students optimize for recall. No amount of policy is going to change that. Under the present education system, this is what produces “fake learning”: the outward signs of achievement are present, but the underlying mental model remains thin. It is a mismatch between what schools assess a…

General AI Discourse value: beneficence for: individual_users critical outrage → raw LLM

“Just the beginning” See THE HEROES AGENTIC AI I’ve been part of this journey for the last two decades. At first, we called it signal processing. Then statistical learning. Then machine learning. Then deep learning. Then transformers. Now everyone talks about models, LLMs, and SLMs. But in reality, it has always been part of the same evolution of AI. Today’s AI models will evolve into something e…

AI Ethics & Trust value: beneficence for: humanity optimistic approval → raw LLM

Thank you for writing this so honestly, Paolo. The 'raised the floor' line is the one I keep sitting with. The layer I'd add. We have spent two years asking 'did AI write this?' The harder question is the one you are already moving toward. What can this student actually do that they could not do before? When the answer to that has to show up live, in a draft we watch grow, in a defense, in a prob…

AI Research & Models value: human_autonomy for: individual_users optimistic approval → raw LLM

That headline is doing work the study never asked for. The MIT “Your Brain on ChatGPT” study put 54 people into three groups: writing with ChatGPT, a search engine, or nothing but their own head. EEG showed the ChatGPT group had the weakest brain connectivity and remembered less. That is not brain damage. That is reduced engagement, the same thing that happens any time you hand the thinking to so…

General AI Discourse value: human_autonomy for: individual_users critical outrage → raw LLM

Another reminder that innovation without human dignity eventually becomes extraction. Pope Leo XIV’s insistence on ethics, labor, and moral responsibility puts the conversation exactly where it belongs: not “Can we build it?” but “Who does it serve, and at what human cost?” In an era racing toward automation, that is a necessary voice.

AI Policy & Regulation value: dignity for: humanity demanding approval → raw LLM

Since this showed up in my feed, I’ll call out its b.s. ... “Turns your laptop into a full AI software company.” — This is what’s wrong with LinkedIn posts! Why do people feel it necessary to put exaggerated nonsense in their posts? In our new world of AI, LinkedIn should do a better job of preventing posts that spread non-factual misinformation like this garbage. You should be ashamed of yoursel…

AI Research & Models value: honesty for: individual_users critical outrage → raw LLM

Sheshadri Bhattacharyya I’m rooting for Google too. The vision is right, AI orchestration is clearly the future. But execution still matters. Right now, a lot of developers care less about “93 agents in parallel” and more about reliability, output quality, and cost efficiency. That’s where Claude and ChatGPT still feel ahead for serious coding workflows and deeper reasoning tasks. That said, Goog…

AI Research & Models value: accountability for: individual_users demanding approval → raw LLM

Oomkar S. This has been a common sentiment from many early users. The vision was exciting, but the developer experience felt fragmented. In AI tooling, raw model capability alone isn’t enough anymore. Developers care deeply about onboarding, reliability, observability, pricing transparency, documentation, and workflow integration. If those pieces break, even strong models become frustrating to us…

AI Research & Models value: transparency for: individual_users demanding approval → raw LLM

Joe Allen That’s why developers are becoming far more pragmatic now. The winning platforms won’t just have the best demos, they’ll offer the best developer economics and reliability. If smaller players can provide generous limits, transparent pricing, and smoother workflows, developers will naturally gravitate there regardless of who owns the biggest infrastructure. In AI tooling, trust is built …

AI Research & Models value: transparency + fairness for: individual_users demanding approval → raw LLM

Daniel Velasquez There’s definitely a valid concern here. A lot of “agentic” products today are still probabilistic systems wrapped in impressive demos, and without strong deterministic tooling underneath, reliability becomes a real issue for production workflows. And yes, the economics matter. Running large multi-agent systems is expensive, so eventually pricing has to reflect compute usage some…

AI Research & Models value: safety + economic_equity for: organisations demanding approval → raw LLM

Wish Bakshi That’s the challenge with AI products right now, expectations are incredibly high because the demos look futuristic, but developers judge based on day-to-day workflow quality. Throttle limits, model access, consistency, and reasoning quality matter far more than flashy benchmarks once you’re actually building production systems. Google still has enormous potential here, but the gap be…

AI Research & Models value: accountability critical indifference → raw LLM

Alvin Foo yes I also believe the future is agentic, but right now it is unsustainable. Compute costs are really high, and this is more a structural problem. Having 93+ agents running in parallel without a concern of how many tokens they are going to use is not an efficient approach at all. Ang Google really messed things up forcing its developer community to use antigravity 2.0, without any previ…

AI Research & Models value: sustainability for: individual_users critical outrage → raw LLM

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