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ChatGPT Makes Laws to Regulate Itself

Analytics Vidhya

In a move that caught the attention of policymakers worldwide, Costa Rican politicians sought the assistance of the AI-powered chatbot to draft a new law governing AI. With its remarkable ability to […] The post ChatGPT Makes Laws to Regulate Itself appeared first on Analytics Vidhya.

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Scaling- Transformers, Laws and Challenges

Analytics Vidhya

In it, I came across Scaling laws and challenges associated with scaling Transformer models. The post Scaling- Transformers, Laws and Challenges appeared first on Analytics Vidhya. This topic also included excerpts […].

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How Law Enforcement Can Track Persons of Interest Without Relying on Facial Recognition

Unite.AI

Moreover, the widespread deployment of body-worn cameras by local police departments and sheriff's offices further amplifies the prevalence of video evidence: over 47% of general-purpose law enforcement agencies and 80% of large police departments use body-worn cameras.

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What Is the Law of Accelerating Returns? Will It Lead Us to AGI?

Unite.AI

The missing link to AGI for many seems unattainable, but to a few who believe in what is called “The Law of Accelerating Returns”, it is inevitable that we will eventually build an AGI. The Law of Accelerating Returns was conceptualized by none other than Ray Kurzweil, author, inventor, and futurist. Will It Lead Us to AGI?

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The UK Supreme Court’s Landmark Ruling on AI and Patent Law

Unite.AI

Stephen Thaler's journey in challenging the traditional boundaries of patent law began with his claim that DABUS autonomously invented a novel food and drink container and a unique type of light beacon. Furthermore, this ruling has sparked a discussion about the role of policymakers in shaping the future of AI in intellectual property law.

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What If Your Law Firm Had A Blank Page For Legal Tech?

Artificial Lawyer

By Anthony Widdop If law firms had a blank page for legal technology and innovation, what would they do? While organisations across all sectors are getting to grips with the opportunities and risks…

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Exploring the Scaling Laws in Large Language Models For Enhanced Translation Performance

Marktechpost

Studying scaling laws in large language models (LLMs) is crucial for enhancing machine translation performance. Researchers from Stanford University and Google Research have developed new scaling laws that predict the translation quality of LLMs based on pretraining data size. If you like our work, you will love our newsletter.