sharing results & quick insights 🧠
#AI #MachineLearning
NotebookLM is way more generous with 50 sources per notebook vs.
Anara’s 10 uploads per day.
Use Case:
Anara feels more “academic workspace.”
NotebookLM is better for learning new stuff creatively.
👇🏼👇🏼👇🏼
NotebookLM is way more generous with 50 sources per notebook vs.
Anara’s 10 uploads per day.
Use Case:
Anara feels more “academic workspace.”
NotebookLM is better for learning new stuff creatively.
👇🏼👇🏼👇🏼
Anara = text-focused (with clickable PDF citations).
NotebookLM = adds podcasts, mind maps, summaries and flashcards.
AI Options:
Anara lets you pick your AI model (GPT, Claude, Gemini).
NotebookLM only uses Gemini.
Anara = text-focused (with clickable PDF citations).
NotebookLM = adds podcasts, mind maps, summaries and flashcards.
AI Options:
Anara lets you pick your AI model (GPT, Claude, Gemini).
NotebookLM only uses Gemini.
confusing at the start, kinda cozy later on. Good inside Notion, but not strong enough to be your only AI.
Now my Question for you: Is having a “good enough” AI directly in your study app worth more to you than using a stronger but separate AI tool? 👀
confusing at the start, kinda cozy later on. Good inside Notion, but not strong enough to be your only AI.
Now my Question for you: Is having a “good enough” AI directly in your study app worth more to you than using a stronger but separate AI tool? 👀
- Writing quality is fine, but there are stronger tools if you need really polished work.
- Not made for deep research or complex reasoning, so you still have to think for yourself.
- Feels more like a small boost than a full study or planning solution.
- Writing quality is fine, but there are stronger tools if you need really polished work.
- Not made for deep research or complex reasoning, so you still have to think for yourself.
- Feels more like a small boost than a full study or planning solution.
- Cleans up messy lecture notes and makes them easier to revise.
- Summarizes long texts and helps structure essays or project ideas when you’re tired.
- Makes chaotic group project notes more readable for everyone.
- Cleans up messy lecture notes and makes them easier to revise.
- Summarizes long texts and helps structure essays or project ideas when you’re tired.
- Makes chaotic group project notes more readable for everyone.
Felt a bit overwhelming with all the options and slash commands, but after a while it clicks and starts to feel natural. Once you get over that hump, it’s nice that the AI is just there in your notes instead of in a separate tool.
Felt a bit overwhelming with all the options and slash commands, but after a while it clicks and starts to feel natural. Once you get over that hump, it’s nice that the AI is just there in your notes instead of in a separate tool.
If you translate mostly between common European languages and want quality (e.g. for essays, uni-work, etc.), DeepL is normally the smarter choice. If you need lots of languages or quick “on-the-go” translations, Google Translate still makes sense.
If you translate mostly between common European languages and want quality (e.g. for essays, uni-work, etc.), DeepL is normally the smarter choice. If you need lots of languages or quick “on-the-go” translations, Google Translate still makes sense.
• For quick, casual, or multi-language translation tasks (e.g. travel, chatting, etc), Google Translate’s broad coverage and speed matter (DeepL may not even support certain languages.)
• For quick, casual, or multi-language translation tasks (e.g. travel, chatting, etc), Google Translate’s broad coverage and speed matter (DeepL may not even support certain languages.)
⚠️ Where Google Translate still has advantages and DeepL shows its limits 👇🏼
⚠️ Where Google Translate still has advantages and DeepL shows its limits 👇🏼
• For common European languages, DeepL usually gives more natural-sounding, context-aware translations than Google Translate.
• DeepL handles idioms, sentence flow and tone more reliably ->important if you translate essays, reports or other longer/formal texts.
• For common European languages, DeepL usually gives more natural-sounding, context-aware translations than Google Translate.
• DeepL handles idioms, sentence flow and tone more reliably ->important if you translate essays, reports or other longer/formal texts.
• Can still hallucinate → sounds right, but isn’t.
• Quality depends on the sources it pulls from.
• Occasional vague answers → sometimes too general
• Not reliable enough for strict academic citations.
Which AI tool do you use most for research?
• Can still hallucinate → sounds right, but isn’t.
• Quality depends on the sources it pulls from.
• Occasional vague answers → sometimes too general
• Not reliable enough for strict academic citations.
Which AI tool do you use most for research?
• Real-time web access → always fresh info.
• Clear source citations → easy to verify.
• Smooth conversational research → follows your reasoning.
• Multiple AI models → switch depending on your task.
• Saves time → summarizes instead of sending you through 20 tabs.
• Real-time web access → always fresh info.
• Clear source citations → easy to verify.
• Smooth conversational research → follows your reasoning.
• Multiple AI models → switch depending on your task.
• Saves time → summarizes instead of sending you through 20 tabs.
For students or anyone handling lots of material, NotebookLM can save time and help you grasp the core ideas, as long as you don’t stop thinking for yourself.
Now my question for you: Is speed worth it if you lose depth?
#NotebookLM #AItools #StudentUse
For students or anyone handling lots of material, NotebookLM can save time and help you grasp the core ideas, as long as you don’t stop thinking for yourself.
Now my question for you: Is speed worth it if you lose depth?
#NotebookLM #AItools #StudentUse
• Doesn’t cover everything: context and nuance often get lost.
• Some summaries sound confident but skip details or sources. Can never replace a real lecture in university.
• Not ideal for deep research or citation-heavy work.
• Doesn’t cover everything: context and nuance often get lost.
• Some summaries sound confident but skip details or sources. Can never replace a real lecture in university.
• Not ideal for deep research or citation-heavy work.
• Explains complex topics clearly, great if you miss a lecture or need a fast recap.
• Audio summaries make it easier to absorb key points without re-reading everything.
• Helps connect ideas across multiple documents.
• Explains complex topics clearly, great if you miss a lecture or need a fast recap.
• Audio summaries make it easier to absorb key points without re-reading everything.
• Helps connect ideas across multiple documents.
If you‘re also trying to figure out where AI fits into everyday life or if it should at all, stay tuned. Let’s see how much of the hype actually works in real life! ✍🏼
#AI #uniproject
If you‘re also trying to figure out where AI fits into everyday life or if it should at all, stay tuned. Let’s see how much of the hype actually works in real life! ✍🏼
#AI #uniproject