Flag

We stand with Ukraine and our team members from Ukraine. Here are ways you can help

Home ›› Artificial Intelligence ›› Why OpenAI’s “Strawberry” Is a Game Changer

Why OpenAI’s “Strawberry” Is a Game Changer

by Andrew Best
3 min read
Share this post on
Tweet
Share
Post
Share
Email
Print

Save

What if the next leap in AI could redefine the very way we understand machine intelligence? Read the article to uncover how OpenAI’s “Strawberry” is set to revolutionize large language models with cutting-edge advanced reasoning and meticulous planning. From tackling simple errors to enhancing overall accuracy, discover how this groundbreaking model aims to overcome the limitations of current LLMs and inch us closer to achieving AGI.

This is a big step closer to AGI.

Sam Altman recently tweeted this picture of a strawberry.

Sam Altman’s picture of a strawberry

Pretty much everyone (including me) believes this is a cryptic tweet about the upcoming release of OpenAI’s “Strawberry”.

What is Strawberry?

Strawberry is a code name for OpenAI’s secret model that is capable of advanced reasoning.

Note — Strawberry was formally called Q* (Q — Star)

Why is “Strawberry” a big deal?

LLMs (large language models) have been very impressive at many tasks, but they have also failed badly in other ways.

I wrote about the most shocking mistake ChatGPT makes.

Basically, ChatGPT fails when you ask it the simple question:

How many r’s are in the word “strawberry”?

It is shocking that it gets this simple question wrong, but it really does.

OpenAI’s “Strawberry” will be able to get a question like this correct.

This is because it will be capable of advanced reasoning.

Some people say it will be “good at math”.

One problem with LLMs currently is they just spit out the first answer that comes to mind.

For example, I just asked ChatGPT to write a paragraph with exactly 42 words.

It gave me a paragraph with only 40 words.

The problem is that in order to do this task correctly, you need to perform some sort of reasoning.

If you ask a human to do this, they will start writing a couple of sentences and then see how many words they have so far.

Let’s say they have 32 words after 2 sentences.

They will then play around with a new sentence until they get one with exactly 10 words.

It is impossible to just start writing and hope that you land on exactly 42 words.

This is because you can’t just stop a sentence wherever you want to.

You need to have some type of planning.

“Strawberry” should be able to do this type of task.

Instead of just writing out the answer immediately, it might do the type of reasoning “in the background” that I’m describing.

Once it gets a paragraph with 42 words, it will count the words in the background to double-check, and then finally post the answer for us to see.

This will take more time and energy to do, but this is where this “advanced reasoning” stuff is heading.

If LLMs are not capable of this type of reasoning, then we can forget about AGI.

But if LLMs are able to do this type of mathematical reasoning and double-check their own answers to make sure they are correct before writing them down, then we could be a lot closer to AGI than we’ve seen.

My personal thoughts on “Strawberry”

I believe that ChatGPT and other LLMs already have this ability if they want to.

For example, there is no reason why OpenAI couldn’t program GPT-4o to run experiments in the background and double or even triple-check the answers before responding.

But this would be so expensive in terms of “compute” or energy costs.

This is all about getting these LLMs to do this efficiently.

Once the efficiency is high enough, OpenAI will release “Strawberry” to the world.

There is still a lot of secrecy behind Strawberry

Strawberry is supposed to be able to perform “planning” and “deep research”.

It will be able to search the internet, make a plan, and perform a series of tasks in the background, BEFORE coming up with a final answer.

I think this will make an enormous difference in the quality of output we get from LLMs.

The article originally appeared on Medium.

post authorAndrew Best

Andrew Best
Andrew Best is an expert in AI, an entrepreneur, and an educator. As the co-founder of AI Growth Guys, he helps businesses and individuals leverage AI to boost their online presence and increase revenue. He writes regularly on Medium about the latest in AI.

Tweet
Share
Post
Share
Email
Print
Ideas In Brief
  • The article explores how OpenAI’s “Strawberry” aims to enhance LLMs with advanced reasoning, overcoming limitations like simple errors and bringing us closer to AGI.
  • It investigates how OpenAI’s “Strawberry” might transform AI with its ability to perform in-depth research and validation, improving the reliability of AI responses.

Related Articles

Is true consciousness in computers a possibility, or merely a fantasy? The article delves into the philosophical and scientific debates surrounding the nature of consciousness and its potential in AI. Explore why modern neuroscience and AI fall short of creating genuine awareness, the limits of current technology, and the profound philosophical questions that challenge our understanding of mind and machine. Discover why the pursuit of conscious machines might be more about myth than reality.

Article by Peter D'Autry
Why Computers Can’t Be Conscious
  • The article examines why computers, despite advancements, cannot achieve consciousness like humans. It challenges the assumption that mimicking human behavior equates to genuine consciousness.
  • It critiques the reductionist approach of equating neural activity with consciousness and argues that the “hard problem” of consciousness remains unsolved. The piece also discusses the limitations of both neuroscience and AI in addressing this problem.
  • The article disputes the notion that increasing complexity in AI will lead to consciousness, highlighting that understanding and experience cannot be solely derived from computational processes.
  • It emphasizes the importance of physical interaction and the lived experience in consciousness, arguing that AI lacks the embodied context necessary for genuine understanding and consciousness.
Share:Why Computers Can’t Be Conscious
18 min read

AI is transforming financial inclusion for rural entrepreneurs by analyzing alternative data and automating community lending. Learn how these advancements open new doors for the unbanked and empower local businesses.

Article by Thasya Ingriany
AI for the Unbanked: How Technology Can Empower Rural Entrepreneurs
  • The article explores how AI can enhance financial systems for the unbanked by using alternative data to create accessible, user-friendly credit profiles for rural entrepreneurs.
  • It analyzes how AI can automate group lending practices, improve financial inclusion, and support rural entrepreneurs by strengthening community-driven financial networks like “gotong royong”.
Share:AI for the Unbanked: How Technology Can Empower Rural Entrepreneurs
5 min read

Imagine a world where coding is no longer reserved for the tech elite. In his latest article, Chris Heilmann explores how AI is revolutionizing software development, enabling a new generation of creators to build applications without needing deep technical knowledge. Discover how AI tools are breaking barriers, empowering millions to shape the digital world, and what this means for the future of coding and innovation.

Article by Christian Heilmann
A Billion New Developers Thanks to AI?
  • The article explores how AI is poised to empower a billion new developers by simplifying the coding process for non-technical users, allowing more people to build applications with ease.
  • It analyzes how AI-assisted development can bridge the global developer gap by enabling faster code generation, reducing the complexity of software development, and expanding access to tech careers.
Share:A Billion New Developers Thanks to AI?
15 min read

Join the UX Magazine community!

Stay informed with exclusive content on the intersection of UX, AI agents, and agentic automation—essential reading for future-focused professionals.

Hello!

You're officially a member of the UX Magazine Community.
We're excited to have you with us!

Got it!

Thank you!

To begin viewing member content, please verify your email.

Tell us about you. Enroll in the course.

    This website uses cookies to ensure you get the best experience on our website. Check our privacy policy and