I’ve been testing a lot of AI search tools lately, and I keep running into the same three issues:Accuracy with sources — either the responses don’t cite sources at all, or when they do, the citations don’t hold up.Bias — answers are often skewed toward a certain narrative instead of presenting a balanced perspective.Context memory — tools forget what you asked a few prompts ago, which makes...
I’m building exactly this, called Zyruh, and I’d love to hear your thoughts.
I like Perplexity and was excited to try Comet - but I'm failing to see the significant value Comet is providing apart from simply being a browser. Thoughts?
I'm building an AI search tool (Zyruh) and I’m curious about what would truly motivate someone to leave their current AI search solution—whether that’s Google, ChatGPT, Perplexity, Kagi, or something else.Not small “nice-to-have” tweaks, but that one killer feature or improvement that would make you say, “Yep, I’m switching.”Examples could be:100% transparent, clickable sources for every...
HN vs. RedditWhich one do you think is better for launching an idea, getting technical input, or sparking thoughtful discussion — and why?What do you see as the main pros and cons of each?
Like many here, I’m frustrated with AI search tools that make things up without clear citations, agree with everything instead of thinking critically, and forget context in longer projects.I’ve teamed up with a small dev group to build an AI search tool with real-time fact-checking, credible sources, and persistent context. What features would matter most to you — and would you be interested in...
Perplexity has been growing fast as an AI search tool, blending conversational answers with cited sources and real-time web data. I’m curious how the HN community sees it:Do you use it regularly, and if so, what makes it stand out from other LLMs or search engines?How do you feel about the quality, speed, and trustworthiness of its answers?Are there any drawbacks, limitations, or dealbreakers...
For those who’ve been using ChatGPT-5, I’m curious how you feel about it—especially regarding three areas that seem to challenge current LLMs:Hallucinations & Transparency – Still seeing confident but wrong or outdated answers? Does it better admit “I don’t know” or distinguish facts from speculation? How are citations and real-time knowledge?Critical Thinking – Does it still feel overly...
There’s no shortage of large language models—ChatGPT, Claude, Perplexity, Mistral, Gemini, and more. Each has its strengths and quirks. I’m curious: which one do you find yourself using most often, and what makes it stand out for you? Is it accuracy, speed, personality, features, cost, or something else entirely? Looking forward to hearing your experiences and insights.