AI News: From Chatbot Race to Medical Diagnoses (and Other News You Need to Know About)

AI News: From Chatbot Race to Medical Diagnoses (and Other News You Need to Know About)

Your bi-weekly update on the latest developments in AI is here! So, what has been shaking the world of artificial intelligence these past weeks?

Revolutionizing Medicine: ChatGPT Diagnoses Rare Condition in Seconds!

Dr. Isaac Kohane, a physician and computer scientist at Harvard, conducted a medical test of GPT-4 to determine how the newest AI model from OpenAI performed in a medical setting . The findings were astonishing.

After providing ChatGPT-4 with some critical details about a baby from a physical examination, an ultrasound, and hormone levels, the chatbot accurately diagnosed a rare condition called 'congenital adrenal hyperplasia,' with an incidence rate of 1 in 100,000. This diagnosis usually requires years of study and experience, but ChatGPT accomplished it in seconds!

Since the launch of ChatGPT-4 in March 2023, it has correctly answered more than 90% of the US medical exam licensing questions.

Medical errors account for over 2.6 million deaths annually, and with AI's help, doctors can significantly reduce these numbers while providing better care to more patients.

However, it doesn’t just take tests and find facts. It can also translate and simplify complex medical terms into a language understandable even to sixth-graders.

Elon Musk Launches X AI to Take on OpenAI with a New Chatbot Champion!

In a mind-boggling move, Elon Musk has established X AI , a brand-new artificial intelligence (AI) company aimed at challenging OpenAI. Musk, who heads Tesla, Twitter, and SpaceX, has spent the past few months recruiting a team of AI researchers to develop an alternative to ChatGPT, the popular chatbot created by OpenAI .

Why is this surprising? Well, Elon Musk co-founded OpenAI in 2015, along with several other prominent tech leaders, including Sam Altman and Greg Brockman. However, Musk stepped down from the OpenAI board in 2018, citing a conflict of interest due to his involvement in other AI companies.

In addition, in recent months, Musk criticized OpenAI for its merger with Microsoft. He tweeted that the company had become a “maximum profit company,” not in line with his intentions.

Finally, as mentioned in our previous news edition , he recently initiated a petition to pause AI development.

Musk has been in discussions with investors from SpaceX and Tesla to invest in the new venture. He also secured thousands of graphics processing units (GPUs) from Nvidia. These are critical components for constructing and training large language models such as the reigning GPT-4.

Igor Babuschkin, a former researcher at Alphabet's DeepMind , is slated to lead the new AI research lab.

NVIDIA's Text-to-Video Modelling Breakthrough: Creating High-Res Videos with Reduced Computing Demands

Exciting news! NVIDIA has recently unveiled its latest research on text-to-video modeling , featuring a "storm trooper vacuuming a beach" as an example of their groundbreaking technology.

The technology could benefit businesses by enabling them to create high-quality, engaging video content with reduced computational demands. This could lead to cost savings and increased efficiency in content creation.

No alt text provided for this image
AI-generated image of a "storm trooper vacuuming a beach" by NVIDIA. Source: NVIDIA Research

Here is how NVIDIA's technology works:

The technology in question is known as Video Latent Diffusion Models (Video LDMs). It employs a diffusion model within a compressed latent space to generate high-resolution videos while significantly reducing computational demands. Here's a brief rundown of how it operates:

  1. Begin by pre-training the image LDM on a dataset of images.
  2. Convert the image LDM into a Video LDM by introducing temporal layers to model video frames.
  3. Fine-tune the Video LDM on encoded video sequences to create a video generator.
  4. Temporally align diffusion model upsamplers to generate high-quality videos.
  5. Validate the Video LDM on actual driving videos with a resolution of 512x1024, achieving cutting-edge performance.
  6. Utilize the approach in creative content generation via text-to-video modeling.

NVIDIA's latest research is a significant leap forward in text-to-video modeling, offering an innovative solution to generate high-resolution videos with reduced computational demands.

Amazon launches Bedrock, an AI Platform for Language, and Image Generative Models

Bedrock , the new platform by Amazon, now provides AWS customers access to cutting-edge language and image-generative models. It facilitates the creation of chatbots, text generation and summarization, and image classification.

This platform is currently accessible to a few selected AWS clients and has been adopted by Coda, an AI document generation company.

For businesses, Amazon Bedrock offers an easy way to build and scale custom generative AI applications with foundation models. Companies can use it to create AI-powered text, generate images, build chatbots, and much more. It is another powerful addition to the services that AWS is offering.

Our Blindspot AI experts can help you with developing such a solution. Reach out to us at [email protected] to find out more.

DINOv2: Meta AI's Self-Supervised Vision Transformer Model That Will Change the Game in Computer Vision

Meta AI unveiled their latest innovation, DINOv2 . This new Self-supervised Vision Transformer Model is a game-changer for computer vision (CV) tasks and can serve as a backbone for almost all of them without requiring fine-tuning.

This is a significant advancement in self-supervised vision transformer models. Its multipurpose backbone will undoubtedly revolutionize computer vision tasks by making them more accessible and efficient.

What does this mean for businesses?

Meta AI's DINOv2 has the potential to benefit businesses in various industries by making computer vision tasks more accessible and efficient. Here is, for example, a case study of how we used it for anti-COVID measure monitoring in a retail chain .

How can DINOv2 be used in business? Here are some examples:

  • Manufacturing: optimize production processes by identifying quality control issues in real-time and detecting product defects.
  • Retail: analyze consumer behavior and provide insights into customer preferences, which can be used to improve marketing strategies and inventory management.
  • Healthcare: analyze medical images for the diagnosis, treatment planning, and monitoring patient recovery progress.
  • Agriculture: analyze crop health and yield, identify pest or disease infestation areas, and optimize farming practices.

Get Ready for the Future of Digital Creation: Midjourney v6 Coming Soon!

The much anticipated Midjourney v6 is set to be released before July 1, 2023 . Although the exact date is still unknown, there is a general expectation that it will be launched soon, with current estimates suggesting that it could be available within the next 1 to 2 months.

Midjourney is currently used primarily by the community to generate impressive futuristic and surreal artwork. However, some marketing agencies already use Midjourney to generate, for example, marketing content for their social media or mockups. It is anticipated to have a broader range of use cases beyond just generating artwork once the advancements are rolled out.

The new features that can be expected in the upcoming v6 update include:

  • Enhanced Image Resolution
  • Advanced Natural Language Enhancements
  • Enhanced Hand Rendering
  • 3D Modeling Capabilities

With these, Midjourney v6 is set to elevate the user experience further and continue cementing itself as a leading tool for digital creators.

Alibaba's Latest Chatbot, Tongyi Qianwen, is Set to Make a Disruption Within AI

Alibaba, the Chinese technology behemoth, has revealed its version of the AI-powered chatbot , named Tongyi Qianwen. The company's cloud computing division has announced plans to integrate the chatbot into Alibaba's various businesses in the "near future," although no specific timeline has been provided.

Companies worldwide have been unveiling their iterations of generative AI chatbots. Tongyi Qianwen, like OpenAI's ChatGPT, will be capable of numerous tasks, such as transforming meeting conversations into written notes, writing emails, and creating business proposals, according to Alibaba.

However, the potential of AI-powered chatbots spans far and wide, from internal or external assistants to features that enhance the core value of products or services. ?

At Blindspot AI, we are excited to be developing projects utilizing generative AI for knowledge management, work streamlining, and product enhancements.


If you find the AI news useful, let us know in the comments below. Also, remember to subscribe to our blog to get notified about the next edition.

Are you interested in implementing AI in your business? Then reach out to us at [email protected] , and let’s chat!

Until next time!

Team of Blindspot AI

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