“Modern LLMs have extremely high versatility. However, the default 'polite and harmless assistant' UX often becomes noise in accelerating the thinking of professionals.”

“If you have ever taken a self-driving Uber through downtown LA, you might recognise the strange sense of uncertainty that settles in when there is no driver and no conversation, just a quiet car making assumptions about the world around it.”

“AI hype and the bubble that will follow are real, but it's also distorting our views of what the future could entail with current capabilities.”

“"I’d suggest some kind of token retention when you’re not using it... maybe something like 20% of what you don’t use in a day is credited as extra tokens for this month."”

“The article quotes the error message: '[MCP Disconnected] memory Connection to MCP server 'memory' was lost'.”

“Financial incentives increase daily steps, whereas charitable incentives deliver a precisely estimated null.”

“The paper finds that quantum discord persists even when entanglement vanishes, suggesting that quantum correlations may exist beyond entanglement in this specific cosmological model.”

“The paper presents polynomial-time algorithms for MSC in several nontrivial settings.”

“The N-5 Scaling Law: an empirical relationship holding for all examined regular planar polygons and Platonic solids (N <= 10), where the space of optimal configurations consists of K=N-5 disconnected 1D topological branches.”

“”

“Is an industry that has been losing money for a long time and cannot see profits in the short term still worth investing in?”

“"I can’t figure out what all of the hype about Gemini is over chat gpt is. I would like some one to explain in a quantifiable sense why they think Gemini is better."”

“No AI has impressed me”

“"AI" puts out the most statistically correct thing rather than what could be perceived as original thought.”

“As far as they are concerned it's adapt or die (career wise).”

“Failure doesn’t arrive as chaos—it arrives as confidence, smooth dashboards, and delayed shock.”

“"Nobody's talking about it anymore, but everyone was waiting for December, so what happened?"”

“(Assuming the post contains a specific example of Perplexity's methodology being superior) "Perplexity's ability to provide direct, sourced answers is a game-changer compared to the generic responses from other LLMs."”

“"It’s actively reject it as “AI slop” esp when it is use detectably in the real world (by the below 20 year old group)"”

“I’m seeing all these charts claiming GLM 4.7 is officially the “Sonnet 4.5 and GPT-5.2 killer” for coding and math.”

“Buddy’s in space.”

“"I wanted to improve the environment in the lab, so I took various actions... But in reality, people don't move as much as I thought."”

“Silicon Valley's tone-deaf take on the AI backlash will matter in 2026”

“”

“”

“文脈が途中で途切れていることが原因です。(The cause is that the context is interrupted midway.)”

“”

“"A Band-Aid on a giant gash"”

“The study investigates LLM reliability in the context of hate speech detection.”

“The study suggests that humans incorrectly reject AI judgments, specifically when the AI expresses confidence in accusatory statements.”

“The paper focuses on measuring semantic confusion in Large Language Model (LLM) refusals.”

“”

“Do you talk to synths?”

“Is that a time problem or a product problem?”

““Use GPT to write code. This is a one-day task; it shouldn’t take more than that.””

“Smartphone buyers care more about battery life.”

“The article doesn't contain a direct quote, but the core idea is that improvements in benchmarks don't necessarily equal improvements in user experience.”

“Translating graphs into text that LLMs can understand is a remarkably complex task.”

“”

“The authors of 'AI Snake Oil' are quoted, likely expressing concerns about the current state of GenAI hype.”

“The article likely discusses issues with information asymmetry within AI markets.”

“Tina argues that one of the reasons practitioners have struggled to model complex systems is because of the lack of connection to the data sourcing and generation process.”

“”

“In our conversation, we explore the gap between law, policy, and ML, and how to build the bridge between them, including formalizing ethical frameworks for machine learning.”