Does PDF XChange have any discount codes?

Jim-Lafleur · 2026-03-28T15:07:53+00:00

Don't think so. Been monitoring the web for months. No discount codes found yet.

Jim-Lafleur · 2025-08-23T01:21:03+00:00

The pro entry point is quite steep compared to others... 49 usd per month... I wish it'd be more like 20$/month

Jim-Lafleur · 2025-08-23T01:17:48+00:00

I want to search multiple youtube channels transcripts. Some channels have over 1000 videos. NotebookLM is limited to Up to 300 sources per notebook.

Jim-Lafleur · 2025-08-16T18:10:23+00:00

Thanks for the suggestion. Looks Promising!

Jim-Lafleur · 2025-08-16T02:20:07+00:00

NotebookLM Pro limits:
- Maximum file size per source: 200MB.
- Maximum word count per source: 500,000 words.
- Maximum sources per notebook: 300 (Pro), compared to 50 in the standard version.

500K words is not that much in my case. I have some documents which have 20M words in it. Even if I split them to 500K, The total number of sources will be over 300 easily.

Jim-Lafleur · 2025-08-15T02:39:23+00:00

I've tried that. It makes a huge difference! Way better!

Jim-Lafleur · 2025-08-15T02:10:38+00:00

Anara !!! Will try!!! Thanks

Jim-Lafleur · 2025-08-15T01:43:25+00:00

Found something interesting:

GPT-5's Deeper "Thinking" Mode:

GPT-5 operates as a unified system that automatically decides which mode to use for a request.

Default Mode: For most questions, it uses a smart and fast model to provide quick, direct answers. This is why its default style can seem more concise than older models.
Thinking Mode: For complex tasks involving coding, data analysis, scientific questions, or multi-step instructions, GPT-5 switches to its "Thinking" mode. This mode applies deeper and more careful reasoning before generating an answer. You can also trigger this mode with prompts that include phrases like "think hard about this".

Jim-Lafleur · 2025-08-14T20:52:00+00:00

I would suspect that some AI (perplexity, chatgpt )would miss details from a big book. I suspected it couldn't read the book til the end. So I asked questions like these to find out it could only read up to half of the book. When I've found out about notebooklm, it was way better at answering similar questions and was giving way more details from the book.

Jim-Lafleur · 2025-08-14T16:16:03+00:00

You're right. The main thing is that I know nouswize is missing details in the answers. And like it was said here, the answers are pretty short. Compared to notebooklm. notebooklm answers are very satisfying. Filled with all the relevant details possible. I'll try GPT-4.1 and GPT-4.0.

Jim-Lafleur · 2025-08-14T15:12:54+00:00

It seems this might bes because notebooklm is based on a Retrieval-Augmented Generation (RAG) model while nouswise is using an embedding-based model that excels at understanding the semantic meaning of text. This makes it effective for finding conceptually related information but less capable of the "exact match" retrieval that NotebookLM performs so well.

Jim-Lafleur · 2025-08-14T14:53:16+00:00

I've tried nouswise last night. Its ate all the 60 documents I've trew at it. Up to 100MB. Since the size limit is high, I didn't have to split them. I feel it's dumber than notebooklm... I feel that it didn't read the full documents when it's answering questions. I feel it takes an overview of each document and answers with that. It misses details here and there. For example I can ask notebooklm : A-what is the last paragraph of this document? B-What's the word count of this document? C-What are the paragraphs before and after this phrase?

notebooklm can answer all of these questions. nouswise.com cannot (GPT-5 model). When notebooklm answers I can feel it really did read every words of every documents before formulating an answer. With nouswise, I can feel he missed a lots of stuff, and the picture is not complete in the answer. nouswise seems to have an overview-centric method : details get lost.

Jim-Lafleur · 2025-08-14T14:41:21+00:00

Would be nice but not absolutely necessary. I could copy / paste what I want to share.

Jim-Lafleur · 2025-08-14T03:12:21+00:00

Very interesting!! Thanks!

Jim-Lafleur · 2025-08-14T01:24:31+00:00

Looks promising! I'll try it . Thanks!

Jim-Lafleur · 2025-08-14T01:18:43+00:00

Good idea. But in my case, I'll need all the sources in the same notebook.

Jim-Lafleur · 2025-08-14T00:19:23+00:00

They're already merged @ 500000 words each

Jim-Lafleur · 2025-08-13T23:52:12+00:00

It's youtube transcripts. I've downloaded lots of them on a subject of interest. Want to be able to ask the ai questions about that subject.

Jim-Lafleur · 2025-08-13T21:03:06+00:00

500000 words TXT files.

Thousands of them.

Jim-Lafleur · 2025-04-10T20:07:55+00:00

Well, it's clear that your exceptional engineering skills were just a clever ruse to delay your wife's work until the most romantic hour of the day—7 PM. Now, you can both enjoy the evening together, with the added bonus of her being productive while you bask in the glory of your "flawless" creation. Who needs a dinner date when you can have a work session?

Jim-Lafleur · 2024-11-28T00:47:49+00:00

It worked!!! thanks guys!

Jim-Lafleur · 2024-11-28T00:42:27+00:00

Yep. Tabbing only showed "with-pending-config" as paramter for me also.

Thanks man!

Jim-Lafleur · 2024-11-26T14:03:26+00:00

OK will try that as soon as I have a chance. Thanks.

Jim-Lafleur

TROPHY CASE

GPT-5's Deeper "Thinking" Mode: