AI Edition - It's AI Time - 143 [05-09-2024]

AI Edition - It's AI Time - 143

AI Has Created a Battle Over Web Crawling

A report by the Data Provenance Initiative warns that generative AI models may suffer as websites increasingly restrict crawler bots, blocking access to high-quality data. This trend, driven by fears of data misuse, could shift AI training reliance from well-maintained sources to lower-quality data. Companies may turn to synthetic data or direct licensing to maintain AI model efficacy amid growing data scarcity.

CEO of OpenAI Japan reveals plans for GPT Next

OpenAI's GPT Next will be trained with approximately 100x the compute load of GPT-4. It will be released later this year. The true estimates suggest some of the compute load changes are also due to algorithmic improvements.

Reliant's paper-scouring AI takes on science's data drudgery

Reliant AI, co-founded by Karl Moritz Hermann, has secured a $11.3 million seed round to automate time-intensive literature reviews in academia with its AI product Tabular, which boasts zero-error data extraction from scientific publications. Utilizing LLMs and proprietary techniques, Reliant provides a user-friendly UI for researchers, improving efficiency over traditional methods. Its in-house hardware approach underscores a commitment to high-quality, domain-specific AI solutions for the research industry.

The Order Of Engineers On The Front Line

AI engineering is central to advancing AI technologies, with a particular emphasis on ethical development and responsible implementation. Professional orders, such as Italy's C3i, maintain quality standards and support engineers through continual training and ethical guidelines. The evolving field requires engineers to continuously update skills, innovate, and collaborate across disciplines to harness AI's full potential responsibly.

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