🐾 IN TODAY'S WILD
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A new AI tool called SpectroGen is making material quality assessment easier by acting as a “virtual spectrometer” to generate spectroscopic data in various modalities. This advance highlights a fundamental difference in how AI systems and humans “see” the world, which is why AI-generated images often look unnatural or “garish.” The widespread adoption of generative AI continues to grow, with hundreds of millions of people worldwide using free chatbots, and at least 20 million paying for premium services like ChatGPT.
In other tech news, open-source malware has seen a sharp increase of 140 percent, raising concerns about the security of the ecosystem, even as Jack Dorsey supports the idea of a decentralized GitHub. Finally, companies are intensifying their corporate responses to the use of generative AI in the workplace, and some are releasing their open-source approaches to building better data platforms and tooling.
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🦾 AI daily pulse
Checking the quality of materials just got easier with a new AI tool
Acting as a “virtual spectrometer,” SpectroGen generates spectroscopic data in any modality, such as X-ray or infrared, to quickly assess a material’s quality. [LINK]My view: Impressive advancements
AI systems and humans ‘see’ the world differently – and that’s why AI images look so garish
How do computers see the world? It’s not quite the same way humans do.Recent advances in generative artificial intelligence (AI) make it possible to do more things with computer image processing. You might ask an AI tool to describe an image, for example, or to create an image from a description you provide. [LINK]
My view: How do ‘we’ really see the world?What happens when you give millions of people free access to AI?
Hundreds of millions of people worldwide use generative AI chatbots. Tens of millions of us pay for access to premium versions of those products — at least 20 million pay for ChatGPT, according to an OpenAI spokesperson. [LINK]
My view: the world urgently needs new educational systems.
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⚡️ Top trends
Unleashing the power of generative AI in the world of work. [LINK]
Corporate responses to generative AI: early evidence from conference calls. [LINK]
💻 Top techies
🔮 What else
Building better data platforms: Our open source approach to infrastructure and tooling. [LINK]