LLMs process text from left to right — each token can only look back at what came before it, never forward. This means that when you write a long prompt with context at the beginning and a question at the end, the model answers the question having "seen" the context, but the

Anthropic have just buried OpenAI and ChatGPT with this ad lmfao There’s no coming back from that

https://t.co/JqaqOhNl6I

NEW research: https://t.co/yE1LogIFHO If you give ChatGPT the same request for product recommendations 100X, will you ever get the same list twice? And what does that answer mean for folks who try to track their brand presence in AI tools? Finally, some real answers 🧐

I'm a Reserve Manager at a central bank. My job is buying gold. 297 tons this year. Quietly. While we print money. Loudly. Gold hit $5,000 an ounce yesterday. We've been buying since it was $1,800. That's called "reserve diversification." Diversification means we don't

Sequoia just called the end of an entire go-to-market era and most SaaS companies won’t realize what hit them for 18 months. Product-led growth was built on one assumption: humans would try the software. The entire playbook since 2010 optimized for human discovery. Beautiful

this is arguably the best article i’ve read in my entire lifetime. because it perfectly captures: – who i am – what i’m currently facing – how i’m navigating through it if you really want to make a difference in life, please give it a read.

https://t.co/GCz7g67znl

Wow. Anthropic just curated an impressive collection of use cases for Claude 🤯 You already get 39 deep guides and more get added weekly. It’s also free and definitely worth bookmarking. (link below)

https://t.co/FQe5bCBqW1

@DBVolkov A downloadable PDF version is hosted on Google Drive here: https://t.co/qJjnVjnIr7 It's also mirrored on GitHub as a PDF here: https://t.co/FSZtMukr7s https://t.co/0RqmT3T3oH

I think @top5seo's article is one of the most helpful and comprehensive breakdowns of how ChatGPT (most likely) works that I've ever read. Note: parts of the article are speculative, but David provides a lot of compelling evidence for why ChatGPT is most likely to work this way:

Here is a fun idea to try. You can create these images with giant people/animals using Nano Banana Pro. Just adjust the elements in brackets and have fun! If you have the option to generate at 4K, definitely use it as it makes the tiny people look crisper. These types of images

This is how you get 100% accuracy in Nano Banana Pro image generation. Use JSON prompts. Here's how to you can write JSON prompts to get shockingly accurate outputs from Nano Banana Pro easily:

All the analysts forever writing about OpenAI vs Anthropic vs Google are missing the real story that already happened. 80% of startups pitching Andreessen Horowitz are running on Chinese open-source models. Not OpenAI. Not Anthropic. Chinese models like DeepSeek that cost 214x

I am excited to share a virtual recording of my talk from #MozCon last week titled: GEO, AEO, LLMO: Separating Fact from Fiction & How to Win in AI Search Check it out! https://t.co/Q7wqcDghRE

This!

$MSFT CEO Satya just made one of the most revealing comments of the entire AI cycle when he said Microsoft has $NVDA GPUs sitting in racks that cannot be turned on because there is not enough energy to feed them. The real constraint is not compute but power & data center space.

One year ago, my wife and I launched a small newsletter for our side of Cleveland. No plan. No budget. Just two locals who thought, “Would anyone actually read this?” 12 months later: 👉 20,000 subscribers 👉 50% open rate 👉 $3,000/month revenue 👉 On pace for $100K next year

https://t.co/AaGQK6jUUC