This Week in AI | Week 7

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Developments in AI this week include updates from OpenAI, AI21 Labs, and A lot has happened in the field of artificial intelligence this week! These include the release of OpenAI’s voice engine, a new model introduced by AI21 Labs, and the launch of an accelerator program by Now let’s investigate these developments!

OpenAI’s Voice Engine: Synthetic Voices

OpenAI introduces Voice Engine, a groundbreaking model designed for generating custom voices from a brief audio sample. This innovation, capable of producing natural-sounding speech, aims to revolutionise text-to-speech applications by offering more emotive and realistic voice outputs. Despite its promising applications in education, translation, and accessibility, OpenAI adopts a cautious approach towards its broader release, emphasising the importance of responsible use and the potential risks associated with synthetic voice technology.

Early Applications of Voice Engine:

  • Enhancing educational content with diverse, natural-sounding voices.
  • Facilitating content translation for global reach while retaining the original speaker’s accent.
  • Supporting community health initiatives with multilingual, interactive feedback.
  • Offering unique voice options for non-verbal individuals through AAC devices.
  • Assisting patients with speech impairments in regaining their voice.

Building Voice Engine Safely:
OpenAI is actively engaging with various stakeholders to ensure the ethical deployment of Voice Engine, incorporating safety measures such as watermarking and strict usage policies to mitigate misuse risks.

AI21 Labs: New Model Jamba

AI21 Labs launches Jamba, a state-of-the-art generative AI model that stands out for its ability to process extensive context without the computational intensity typically associated with it. Jamba’s unique architecture combines transformers and state space models (SSMs), enabling it to handle up to 140,000 tokens efficiently. This capability opens new possibilities for generating long-form content on a single GPU, marking a significant advancement in AI model efficiency and accessibility.

Key Features of Jamba:

  • Supports multiple languages, including English, French, Spanish, and Portuguese.
  • Capable of running on a single GPU with extensive context handling.
  • Utilises a blend of transformers and SSMs for improved performance on long contexts.

Jamba’s Contribution to AI Research:
Released under the Apache 2.0 licence for research purposes, Jamba represents a leap forward in AI model design, promising enhanced efficiency and throughput for handling large-scale text data.’s accelerator program announces a $20 million accelerator program aimed at supporting nonprofits in using generative AI for social good. This initiative reflects a growing recognition of AI’s potential to enhance productivity and creativity in addressing critical societal challenges.

Program Highlights:

  • Comprehensive Support: Selected nonprofits will receive funding, technical training, and mentorship, benefiting from Google’s expertise to develop and deploy AI-driven tools.
  • Focus on Accessibility and Impact: The program targets organisations like and World Bank, aiming to make educational resources and development research more accessible through AI.

This accelerator program addresses the crucial need for resources, training, and funding that many nonprofits face in adopting AI technology, paving the way for more innovative and impactful solutions in the social sector.

Suggested Reading


It’s clear from thinking back on last week’s developments in AI that the area is developing quickly thanks to creative initiatives and a commitment to societal welfare. The adoption of technology in many areas is likely to be influenced by the array of opportunities and considerations it brings as it advances. It is essential to have ongoing discussions about these developments to make sure that AI development continues to follow moral principles and have practical applications.

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March 31, 2024

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