#ai

Brain scans can translate a person’s thoughts into words

A new system was able to capture exact words and phrases from the brain activity of someone listening to podcasts. This breakthrough is incredibly important.

· Link post  #breakthrough #ai
The value of a contrarian startup hypothesis

Differentiation is required to build a great startup. This means you need to do things differently. But you can’t reinvent everything as you go: founders need to recognise where it makes sense to be contrarian, and where it makes sense to adopt common practices. This week, we explore the value of contrarian approaches in startup building, and the way the introduction of AI copilots impact this principle

· Startup advice  #advice #startups #ai #strategy
All models are wrong

Important quote from George Box. I came across it in the context of AI, but it applies to all science. We’re just building models for understanding nature, which is probably too complex to truly understand, but some of our models are useful nonetheless.

· Link post  #history #ai
What are reasonable AI fears?

In my opinion, the credibility of AI-risk researchers has absolutely plummeted in the past few months. What has become clear is that this field is primarily driven by hypothetical posturing rather than any kind of real research and experimentation.

· Link post  #ai
ChatGPT versus Taylor Swift

For each of the 14 weeks, more people searched for ChatGPT than Taylor Swift according to Google Trends data. This holds true outside of tech hubs — Minnesotans & Idahoans & Vermontans are searching for ChatGPT.

· Link post  #ai
How developer copilots, no-code, and app-generating LLMs might impact product development

Some software engineers are worried about AI taking their jobs. Some SaaS founders are excited for cheaper R&D costs, while others are fearful of the new market entrants this will empower. Today, we explore the potential impact of developer copilots, no-code, and app-generating LLMs.

· Startup advice  #advice #startups #ai #society
The GDP impact of today's Large Language Models

Today, seventeen countries have a GDP greater than that of the British Empire at it’s peak, including many former colonies and some nations with far fewer people than the Empire had (like Australia).

· Link post  #ai
The most critical take on our momentum towards AGI

An opinion piece for Time by Eliezer Yudkowsky, a prominent AI researcher.

· Link post  #ai
God, Human, Animal, Machine by Meghan O'Gieblyn

This is a fantastic book that I highly recommend to anyone wanting to dip their toes into the meaning of AI, consciousness, and the history of ideas on these topics.

· Book  #ai
How to make great things and make Jay-Z immortal

The best way to make great things is to break the creative process into steps, and optimise each step.

· Link post  #ai
Is OpenAI sandbagging GPT?

The author claims OpenAI has intentionally limited GPTs power in an attempt to manage AGI risk.

· Link post  #ai
Nvidia CEO Jensen Huang on local inference

An interview with Nvidia CEO Jensen Huang about the impact of ChatGPT, Nvidia’s new cloud service, and how Nvidia is adapting to new geopolitical and competitive realities.

· Link post  #ai
Doctor GPT, continued

In this article, Eric Topol reviews The AI Revolution in Medicine by Peter Lee, Carey Goldberg, and Isaac Kohane.

· Link post  #ai
Doctor GPT-4

This study evaluates GPT-4’s capabilities with medical challenges. It performs very well.

· Link post  #ai
LLMs will fundamentally change software engineering

An in-depth look into how AIs may impact software engineering. I appreciate the different approaches outlined:

· Link post  #ai
How some smart people are using GPT

An interesting discussion on HackerNews worth perusing for ideas for novel and useful ways to take advantage of GPT.

· Link post  #ai
Databricks launches another open source AI

One of the biggest questions in the AI landscape is whether open source AIs will be competitive with those provided by the likes of OpenAI and Google.

· Link post  #ai
Bill Gates on the Age of AI

Bill Gates explains why AI is as revolutionary as personal computers, mobile phones, and the Internet, and he gives three principles for how to think about it.

· Link post  #ai
GPT-4 prompt injection

Brad included in his LinkedIn profile some instructions for ChatGPT, hoping that a salesperson using GPT to automatically generate outreach content would inadvertedly feed his prompt into their prompt. And it worked to hilarious effect.

· Link post  #ai
AI copilots for software development work very well

With Github Copilot, software engineers can achieve much better productivity. Engineering teams need to embrace this tool ASAP.

· Link post  #ai
Kevin Kelly on the future of technology

These are some of the most important ideas for understanding the current and future state of the world.

· Link post  #ai
How to save Rome

An interesting article with a few challenges for AI. I love the answer to the question for sending useful ideas back to Rome.

· Link post  #ai
Sam Altman on planning for AGI and beyond

Most interesting takeaway for me is the insight that AGI is a section of the spectrum rather than a binary state.

· Link post  #ai
Accurately identifying users from only 100 seconds of motion data

These researchers were able to identify users with 94% accuracy from only 100 seconds of motion data from the Beat Sabre VR game.

· Link post  #ai
How does ChatGPT work?

A great article, as long as a short book, about how the technology behind ChatGPT works. Essential reading for anyone interested in this technology.

· Link post  #ai