AI Hackr - Curated AI tools

@NicheSiteLady Really impressive please do share more of this!

An end-of-year job that every niche site owner should be doing... First, pull a list of posts, ordered by how much 💰 they made you in 2023. Then... 🧵👇

@Whizz_ai X

In 30 days, I grew my Twitter audience to over 4500 followers. I just created a full guide breaking down all my growth systems & strategies I used. And for the next 24 hours, it's yours for FREE. Like+RT & Comment "X" I'll send it to you. Note: Must Follow for DM

@WrongsToWrite Based

I grew my total social media following to 540,000+ in under 3 years. But 95% never pass 1,000 followers because they suck at content. So I made 37 tweet templates I've used to go viral. Want me to DM it to you? • Like this post • Comment "Based" And I'll send it over.

AI & @langchain 🤝 #bitcoin and Lightning

Made with ChatGPT 4 and MidJourney 5. The stereotypical democrat and republican protestors

@pmddomingos I agree, they will go crazy when they realize that they can’t control it.

LLMs are a much bigger problem for Xi Jinping than for us.

Random note on k-Nearest Neighbor lookups on embeddings: in my experience much better results can be obtained by training SVMs instead. Not too widely known. Short example: github.com/karpathy/rando… Works because SVM ranking considers the unique aspects of your query w.r.t. data.

LlamaIndex The data interface for foundation models news.bensbites.co/posts/632-llam

ai is the ultimate no-code tool

A Survey on ChatGPT and GPT-4 arxiv.org/abs/2304.06488

Seven AI copywriting tools you can’t miss: 1. ChatGPT - Research 2. Writesonic - All-in-1 tool 3. CopyAI - Idea Generation 4. Hemingway - Conciseness 5. Persado - Marketing messages 6. Copysmith - Content making 7. Grammarly - Grammar and Spelling Anything else?

@GRDecter We can automate their job with GPT4 easily. Done, billions saved!

The IRS just released its plan to spend $80 billion the agency is getting from the Inflation Reduction Act They'll hire 30,000 employees over the next year The IRS says it will focus on auditing high income earners, not regular Americans

Full report: arxiv.org/pdf/2304.00612…

Eight Things to Know about Large Language Models (LLMs) 1 . LLMs predictably get more capable with increasing investment, even without targeted innovation. 2. Many important LLM behaviors emerge unpredictably as a byproduct of increasing investment. 3. LLMs often appear to learn and use representations of the outside world. 4. There are no reliable techniques for steering the behavior of LLMs. 5. Experts are not yet able to interpret the inner workings of LLMs. 6. Human performance on a task isn’t an upper bound on LLM performance. 7. LLMs need not express the values of their creators nor the values encoded in web text. 8. Brief interactions with LLMs are often misleading.

Not being in AI in 2023 is equivalent of not being in Bitcoin in 2013

The tech evolution, from crypto and web3 to AI