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With the rise of AI, we’re abstracting complexity by embracing technologies that resonate with human intuition. Take ChatGPT, for instance. We can simply articulate our goals in plain English, and it generates code for provisioning the infrastructure accordingly.

Another approach is using visualization. For example, with Brainboard, you can draw your cloud infrastructure, and the necessary deployment and management code is automatically generated.

These examples illustrate the next-generation software and mindset. The shift is happening now, and the next set of tools will be adapted and optimized for humans.

From ohio state university & stanford university: neurobiologically inspired long-term memory for large language models.

From ohio state university & stanford university.

Hipporag: neurobiologically inspired long-term memory for large language models.

Paper: https://arxiv.org/abs/2405.14831 Code: https://github.com/OSU-NLP-Group/HippoRAG

In order to thrive in hostile and ever-changing natural environments, mammalian…

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Medical technology has come a long way, with a whole heap of procedures becoming possible in ways that wouldn’t have been dreamed of by doctors a generation or two ago.

Still, there are always new ideas coming to the forefront, as demonstrated by the concept of BrainBridge, a fake start-up designed to look like it could complete a full human head transplant sooner than you might think.

The fake company, created by a filmmaker, recently started to publicize the design of its ‘head transplant system’, saying it aimed to be operating on patients in the next eight years.