What happens to AI? 24-hour scenario shows Sora, high investment and risks to address

In recent days, we have seen a flurry of important news about artificial intelligence. I will provide an overview of the main events of the last 24 hours, which show a busy scenario with important nuances for those who follow the technology and innovation ecosystem.

The big news is the launch of Sora, OpenAI’s new video-generating tool, which arrived yesterday causing such a stir that account creation had to be temporarily suspended due to high demand. Sora allows you to generate “realistic videos” from text, photos and existing videos, with resolution up to 1080p and a duration of up to 20 seconds.

Available only to ChatGPT subscribers (Plus at $20/month or Pro at $200/month), the tool has already raised important discussions about possible inappropriate uses, especially in the creation of deepfakes. OpenAI claims to have implemented security measures such as age restrictions, limits on image uploads and metadata that identifies generated content.

Funding on the Rise in Healthcare

Another notable highlight: funding for AI-enabled biotech and healthcare startups is recovering strongly. After a significant dip in 2023 (when it reached just ₹4.8 billion), the sector has already raised approximately ₹6.7 billion in 2024. Some notable rounds include:

• Xaira Therapeutics: Over $1 Billion for AI Models in Drug Discovery
• Abridge: $150 million (Series C) for AI-powered clinical documentation
• EvolutionaryScale: $142 million (seed) for protein-focused language models
• Terray Therapeutics: $120 million for AI-enabled drug development

UN Alert on Inequality

In contrast to this euphoric scenario, Renata Dwan, special adviser to the UN Secretary-General’s envoy on technology, issues an important warning: we need to ensure that AI does not widen existing global inequalities. Unequal access to technology and the necessary data could create an even wider gap between developed and developing countries.

Risks in Contracts

For companies considering adopting AI solutions, a key issue is contractual risks. Experts point out four key areas that need to be addressed when contracting for AI-based services or products:

• Use of supplier data
• Data protection measures
• Biases in results
• Risks of AI hallucination and plagiarism

The market is already responding to this: more and more organizations are including specific clauses on AI in their contracts, demanding clear guarantees on risk mitigation.

Growing Adoption

Finally, it’s interesting to note how adoption of generative AI continues to grow in traditional industries. In the accounting industry, for example, 301% of executives are already experimenting with generative AI in business applications, up significantly from 231% last year. Even more interesting, the percentage of those who are not considering using AI has dropped from 561% to 381%, respectively.

This scenario over the past 24 hours clearly shows how AI is moving on different fronts simultaneously: technical innovation, record investment, social concerns and enterprise adoption. It is a moment that demands attention to both opportunities and risks.