AI Research & Strategy

An AI newsletter from Delip Rao that dives deep into the post-LLM era, with intermissions from the past.

The hottest Substack posts of AI Research & Strategy

And their main takeaways

Juicy Research Ideas and How to Find them?

297 implied HN points • 01 Sep 24
🕹 Technology AI Research Idea Generation Machine Learning Data science Academic Publishing
  1. People often find AI research ideas by reading papers, talking to experts, or browsing online platforms like Twitter and GitHub. These are effective ways to spark inspiration.
  2. There are various strategies for generating AI research ideas, such as inventing new tasks, improving existing methods, or exploring gaps in current research. Each approach can lead to publishing valuable findings.
  3. Building better AI research assistants can involve encoding these idea-generation strategies into their programming. This could make them more effective in supporting researchers.

Setting AIRS Free

158 implied HN points • 05 Aug 24
🕹 Technology AI Research Digital Media Health tech Online Publishing Economic Models
  1. The writer has paused billing for their Substack and is offering full refunds to all paid subscribers. They believe it's fair since they haven't been able to provide valuable content recently.
  2. Health challenges impacted the writer's ability to consistently focus on their Substack. They want to put their health first instead of feeling pressured to deliver content.
  3. The writer plans to continue writing occasionally, focusing on joy instead of obligation. They appreciate the support they've received and are thankful for their subscribers.

The NYT vs. OpenAI Copyright Case: A Technical Introduction – Part I

416 implied HN points • 07 Jan 24
  1. The article discusses the NYT vs. OpenAI copyright case in the context of AI literature.
  2. There is a comparison made on academic AI Twitter between AI vs. Humans and Human-on-Human violence.
  3. The post mentions two simultaneous plot lines: the copyright case and plagiarism allegations against Harvard president Claudine Gay.

Google TPU V6 Designs are Probably in China

237 implied HN points • 07 Mar 24
🕹 Technology AI Espionage Cybersecurity Product Design Intellectual Property
  1. A Google engineer was arrested for leaking important AI designs, which could have serious effects on the company's competitive edge. It's alarming that such sensitive information can be accessed so easily.
  2. Once Google discovered the employee's suspicious activity, they didn't act quickly enough. Instead of launching a serious investigation, they let him continue working for a bit, which gave him a chance to escape.
  3. This situation raises concerns about how other companies might handle security. If a major firm like Google has weaknesses, it makes you wonder about the safety of information in smaller firms and universities.
Get a weekly roundup of the best Substack posts, by hacker news affinity:

Defining the Post-LLM Era

217 implied HN points • 24 Dec 23
  1. The post discusses the concept of the Post-LLM Era.
  2. It raises the question of whether we are currently experiencing this era.
  3. The author encourages readers to subscribe for more insights.

The Great AI Weirding

60 HN points • 20 Dec 23
  1. The article discusses how AI can lead to endless cycles of competition.
  2. It suggests that individuals might unknowingly get caught in repetitive situations caused by AI.
  3. Consider the impact of AI on your life and choices.

A Few Thoughts about O1

2 HN points • 12 Sep 24
🕹 Technology Artificial Intelligence Machine Learning Software Development Internet Data Privacy
  1. The new O1 models from OpenAI show impressive results, but they can't be fairly compared to earlier models because they use a different reasoning process.
  2. OpenAI's O1 models are not meant to replace older models entirely and require a system to decide when to use them, which could complicate things.
  3. OpenAI has a controversial pricing strategy, where users might pay for features they can't fully see or understand, raising concerns about transparency.