- Apr 7, 2009
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What AI search engines are you using?
- Thread starter Alex Snyder
- Start date
Can AI code?
Here is a great use case: Ask AI to add a "post reply after John has posted" button.
Ai can't scan your code base.
Ai might be able to create some code to help you out but ... you better have some coding skills because if AI doesn't work you need to know how get the AI to code you out of that corner it painted you into.
I even tried Q and really you are best off just paying for chatGPT or buying a gaming machine and running Ollama on it. I wonder if you can use a 10 card mining rig to do it ??
Here is a great use case: Ask AI to add a "post reply after John has posted" button.
Ai can't scan your code base.
Ai might be able to create some code to help you out but ... you better have some coding skills because if AI doesn't work you need to know how get the AI to code you out of that corner it painted you into.
I even tried Q and really you are best off just paying for chatGPT or buying a gaming machine and running Ollama on it. I wonder if you can use a 10 card mining rig to do it ??
- May 1, 2006
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Pleasant surprise from a visit to the Xfinity store: You can get one year of Perplexity AI Pro for free! If you are an Xfinity customer, open the mobile app and tap the "
Platinum" badge at the top of the home page. Amongst all the offers, you should find Perplexity.
I am very much enjoying the full $20/mo. experience at no cost.
Platinum" badge at the top of the home page. Amongst all the offers, you should find Perplexity.I am very much enjoying the full $20/mo. experience at no cost.
- Apr 7, 2009
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**AI Update:** ChatGPT's newest version "o1" is in preview mode, and it's a beast. Give it a complex task, and it makes multiple passes at *reasoning* its way to an answer (see chart).
I gave it an intensely complex task and it sat there and *thought* for 75 seconds before dumping a wildly complex reply. This isn't "the Big One," but it's an iterative improvement to GPT-4o
Chart and insights from the amazing FireShip
I gave it an intensely complex task and it sat there and *thought* for 75 seconds before dumping a wildly complex reply. This isn't "the Big One," but it's an iterative improvement to GPT-4o
Chart and insights from the amazing FireShip
I've been exploring various AI-powered search tools lately, and I've found Tensorway's machine learning services to be particularly helpful in delivering highly tailored results for automotive data and search analytics. You can check out their offerings here: Machine Learning Development Services | Tensorway. What are others using?
- May 1, 2006
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Can you give us some more detail on what kind of automotive data we can find in there? Or are you just an SEO spammer?
- Dec 20, 2023
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I’ve had a similar experience. Perplexity ai has improved. I like how it cuts through the noise and gives actual content instead of a wall of links. It’s great for quick overviews and discovering sources I wouldn’t have found otherwise. I’ve also tried Kagi, which is clean and ad-free, and You.com for its AI tools. Curious to see what others recommend, too!
- Aug 2, 2018
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Love this idea! Here are some AI-powered search tools I've tried or seen recommended — each with its own strengths depending on what you're looking for:
Popular AI Search Tools:
Looking forward to what others are testing — the landscape keeps shifting fast!
Popular AI Search Tools:
- Perplexity – Great for fast, cited answers and follow-up questions. Very strong overall.
- You.com – Combines traditional search with AI summaries and code support.
- ChatGPT (with browsing) – Especially helpful for nuanced queries or brainstorming when browsing is enabled.
- Scite.ai – Best for academic and science-based research with sourced citations.
- Andi – A clean, minimalist AI search assistant.
- Phind – Geared toward developers; great for code and technical queries.
- Consensus – Focuses on extracting insights directly from academic papers.
- Elicit – Research assistant for literature reviews and structured academic queries.
- Komo Search – Clean, private search interface with AI-generated answers.
- Google’s Gemini + Search Labs – AI-enhanced search in development from Google.
- NeevaAI (Sunset but relevant) – Was great for privacy-first AI search, often referenced.
Looking forward to what others are testing — the landscape keeps shifting fast!
The Following is the conclusion of a Deep Research Prompt to Perplexity:
The greatest determination of good search data emerges from the synergy between platform capabilities and prompt engineering excellence. While platform architecture provides the foundation—determining data access, model capabilities, and retrieval mechanisms—the quality of user prompts ultimately determines how effectively these capabilities are leveraged.
For optimal results, users should select platforms based on their specific use cases and invest time in developing effective prompting techniques. The most sophisticated platform will underperform with poor prompts, while even basic platforms can deliver impressive results when users provide clear, detailed, and well-structured queries. Success in AI search requires understanding both the strengths of your chosen platform and the art of communicating effectively with AI systems through thoughtful prompt engineering.
Also, according to Perplexity :
In summary, when you use Perplexity, you are benefiting from a hybrid AI platform that combines its own models with the option to leverage top-tier external models like ChatGPT (GPT-4) and Claude, all orchestrated to provide accurate, up-to-date, and well-cited answers.
I have found that multiple platforms like ChatGPT Gemini and Perplexity can all be used to some degree with different intentions to get great searches. ChatGPT and Gemini, have a number of models and the use of deep research. Perplexity has its Regular model, Deep Research and Labs.
Not to be overlooked is the importance of the prompt which depending how it's used, can return night and day results.
I have also found across the different AI platforms that if you tell the AI what you want and ask it to create custom prompts to achieve the results, you can get great searches.
The greatest determination of good search data emerges from the synergy between platform capabilities and prompt engineering excellence. While platform architecture provides the foundation—determining data access, model capabilities, and retrieval mechanisms—the quality of user prompts ultimately determines how effectively these capabilities are leveraged.
For optimal results, users should select platforms based on their specific use cases and invest time in developing effective prompting techniques. The most sophisticated platform will underperform with poor prompts, while even basic platforms can deliver impressive results when users provide clear, detailed, and well-structured queries. Success in AI search requires understanding both the strengths of your chosen platform and the art of communicating effectively with AI systems through thoughtful prompt engineering.
Also, according to Perplexity :
In summary, when you use Perplexity, you are benefiting from a hybrid AI platform that combines its own models with the option to leverage top-tier external models like ChatGPT (GPT-4) and Claude, all orchestrated to provide accurate, up-to-date, and well-cited answers.
I have found that multiple platforms like ChatGPT Gemini and Perplexity can all be used to some degree with different intentions to get great searches. ChatGPT and Gemini, have a number of models and the use of deep research. Perplexity has its Regular model, Deep Research and Labs.
Not to be overlooked is the importance of the prompt which depending how it's used, can return night and day results.
I have also found across the different AI platforms that if you tell the AI what you want and ask it to create custom prompts to achieve the results, you can get great searches.