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#ai Funny article On Chomsky and the Two Cultures of Statistical Learning https://norvig.com/chomsky.html

#ai DeepMind published this report about the different aspects of AI for scientific discovery. For example, they proposed five areas to use AI: 1. Knowledge: Transform how scientists digest and communicate knowledge 2. Data: Generate, extract, and annotate large scientific datasets 3. Experiments: Simulate, accelerate and inform complex experiments 4. Models: Model complex systems and how their components interact 5. Solutions: Identify novel solutions to problems with large search spaces

#ai GitHub Next | GitHub Spark https://githubnext.com/projects/github-spark

#ai felladrin/awesome-ai-web-search: A list of software that allows searching the web with the assistance of AI. https://github.com/felladrin/awesome-ai-web-search

#ai This guys claims that he started the computational neuroscience... https://music.youtube.com/watch?v=jPwtHPsSCz4&si=ffjanyBZH__mxLOp

#ai https://www.stateof.ai/

#ai AI Can (Mostly) Outperform Human CEOs https://hbr.org/2024/09/ai-can-mostly-outperform-human-ceos

#ai Hmm llm showed some level of creativity when proposing research ideas in these experiments. > we find LLM-generated ideas are judged as more novel (p < 0.05) than human expert ideas while being judged slightly weaker on feasibility. [2409.04109] Can LLMs Generate Novel Research Ideas? A Large-Scale Human Study with 100+ NLP Researchers https://arxiv.org/abs/2409.04109

#ai So, ... "Github models" is tightly integrated with Azure.

#ai https://aitoolsexplorer.com/ai-history/ai-origins/

#ai So weird. GPT-4o System Card https://openai.com/index/gpt-4o-system-card/

#ai Looks like we don't need "Pydantic is all you need" anymore. It's easier to built actionable models/workflows with this new update. https://openai.com/index/introducing-structured-outputs-in-the-api/