OpenAI Introduces Cash Rewards / AutoGPT / Google's Bard & Coding Tasks

We are excited to share with you the most recent updates in the realm of digital marketing. In this edition of our newsletter, we will be discussing the following topics:

?? #OpenAI Introduces Cash Rewards to Report

?? Tweet of the Week: #AutoGPT

?? Unlocking The Potential of Instruction-Tuned LLMs With Databricks' Dolly 2.0

?? AI Image of the Week: Movie Night on Sunday

?? Building Software with Generative AI: Google's Bard Now Supports Coding Tasks

?? Elon Musk attempts to redefine truth seeking with 'TruthGPT'

We hope you find these topics informative and insightful.

OpenAI Introduces Cash Rewards to Report Bugs

OpenAI is introducing an innovative new program in order to promote transparency and collaboration among the developers and users of their technology. The “Bug Bounty Program” invites people to report any bug, vulnerability, or security flaw they find in the company’s systems, and it offers rewards ranging from $200 for mild findings to up to $20,000 for significant discoveries.

OpenAI has teamed up with the Bugcrowd platform - which connects companies to security researchers - to manage the submission and rewards process. Submissions are handled quickly, with acceptance or rejection within two hours, and seven rewards have already been given out. OpenAI’s president and co-founder Greg Brockman hinted at the launch of such a program last month in a tweet.

The Bugcrowd program is clear in how it won’t offer rewards in certain cases, such as getting the model to do something malicious or inappropriate. OpenAI emphasizes its investment in research, engineering, and safety to make sure AI systems are secure. This bug bounty program is an exciting step in the right direction towards more responsible, open-sourced AI technology. You can participate the program from here.

Tweet of the Week: AutoGPT

AutoGPT is quickly becoming one of the most talked about technologies on the internet. It's a type of AI agent that can be set up with minimal effort, and can do the work for you. It's an exciting development for those looking for ways to automate their tasks and save time. With AutoGPT, you can have your own virtual assistant in less than 30 minutes! It's a great way to make your life easier and more productive.

Unlocking The Potential of Instruction-Tuned LLMs With Databricks' Dolly 2.0

The release of Dolly 2.0, the first open source, instruction-following large language model (LLM) for commercial use, has opened the doors for organizations to build, own, and customize powerful language models without needing to pay for API access or sharing data with third parties.

Databricks, the team behind Dolly 2.0, has open sourced the entirety of the model, including the training code, the dataset, and the model weights, making it fully licensed for commercial use.

Creating the Dataset for Dolly 2.0

Dolly 2.0 was finetuned on a new dataset made up of 15,000 high-quality human-generated prompt and response pairs. The dataset, called databricks-dolly-15k, was crowdsourced among Databricks employees during March and April of 2023 and is licensed under a Creative Commons Attribution-ShareAlike 3.0 Unported License.

The dataset covers a range of behavior such as content generation, summarization and information extraction, and is designed to make large language models exhibit an interactive dialogue.

The dataset was inspired by InstructGPT, a model used to build OpenAI's ChatGPT. But because OpenAI's terms of service seek to prevent anyone from creating a model that competes with OpenAI, the team behind Dolly had to create a different dataset.

To incentivise Databricks employees, the top 20 labelers of the dataset were given a “big award”.

Databricks Asserts Quality of Their Dataset

Databricks has asserted the high quality of their dataset compared to the one used to train Alpaca, an instructional following model from Stanford University. They have also pointed out that their dataset is “substantially smaller” than the one used for Alpaca, indicating a more accurate representation of the instruction following behavior.

However, the dataset used for Dolly 2.0 was affected by individuals whose first language is not English, plus some data from Wikipedia, meaning that anomalies may have occurred.

Image of the Week: Movie Night

Prompt by Artichoke AI :

Photo of a jaguar sitting near a bowl of popcorn and watching movies, in the style of intense and dramatic lighting, grandeur of scale, strong facial expression, characterized animals, photo-realistic techniques, realistic hyper-detailed portraits, macro photography, large format lens --ar 16:9 --q 2 --v 5 --s 750'

Building Software with Generative AI: Google's Bard Now Supports Coding Tasks

Generative AI is increasingly being used to strengthen the software-development process. Google's experimental chatbot, Bard, is now equipped with coding and programming capabilities, helping users to collaborate with generative AI.

Google’s Bard AI experimental tool now supports programming and software development tasks, including code generation, debugging, explanation, and optimization. Bard's new capabilities cover over 20 programming languages, and integrate with Google Colab and Google Sheets.

Code Generation

With Bard, users can generate code in any of the supported programming languages. The AI can analyze requests, come up with code snippets, and present suggestions to the user for review and implementation.

Debugging & Explain Code

When it comes to debugging, Bard may be able to generate an alternate, working version of the code, or suggest potential workarounds and alterative solutions to certain issues.

Further, Bard can explain code snippets and help users understand what a code output might be.

Caution & Testing

Users should remain cautious, as Bard is still an experimental project. The AI may occasionally provide misleading or inaccurate information, generate suboptimal code, or produce code that doesn’t yield the intended results.

Users should double-check Bard’s responses and thoroughly test and review generated code for potential errors, bugs, and vulnerabilities before relying on the AI-generated code in the production environment.

Optimization

In many cases, Bard can also help optimize your code by making it faster or more efficient. Simply respond to Bard’s initial output with “Could you please make that code faster?” or “Find error handling clauses you might have missed.”

AI for Accelerated Productivity

Google's Bard AI tool is not only designed to help people with everyday tasks but also to harness generative AI to accelerate productivity, inspire creative thinking, and help users overcome complex engineering challenges. By democratizing access to coding skills and helping non-coders to create and understand code, the tool has the potential to open up software development to a broader audience and streamline the process.

Elon Musk attempts to redefine truth seeking with 'TruthGPT'

Elon Musk has made another ambitious claim, this time to create an AI-based ‘maximum truth-seeking’ ChatGPT alternative, called ‘TruthGPT’. In an interview with Fox News’ Tucker Carlson, Musk laid out his plans for an alternative approach to AI creation, claiming that it’s needed to avoid the destruction of humanity.

Musk's vision for 'TruthGPT'

Musk positioned TruthGPT as a clear-cut alternative to OpenAI, the AI software nonprofit co-founded by Musk. He implied that OpenAI’s profit incentives could likely interfere with the ethics of the models they create. He characterized TruthGPT as a more transparent option, saying that an AI with an understanding of the universe would be less likely to cause harm or destruction.

Musk's concerns about large-scale AI models

Musk also expressed concern about the risks of using large-scale AI models. He signed an open letter in March, urging companies to pause experiments with AI models they can't control. His tweet in February also implied that a tool like 'TruthGPT' was necessary.

A potential solution

It's still unclear how far along 'TruthGPT' is — if it exists at all at this point — but Musk discussed it in his interview with Carlson, and established a new AI company in March called X.AI. It appears that Musk is serious about his vision of a 'maximum truth-seeking AI', and as of now, is attempting to take steps to turn it into a reality."

Stay tuned for more exciting updates and insights from the world of AI, exclusively in our newsletter.