Gemini Deep Research prompt: What are the different types of problem sets from the AI perspective, including new capabilities such as embodiment, sensors, and agents? (Research plan on 2.0 looks similar to 1.5. Initial claims from training were sequentially verified against different search sites. Growing number of references. Perhaps the idea would be to figure out a starting prompt that will then take it through skill acquisition to grand challenges, or exploit multiple agents in parallel, or cover sectors or countries, or integrate datasets, or find altogether new questions. Personalization could make it take on synthetic roles, not unlike early Eliza, but now headed for the C-Suite or whoever assures equity under ideology. Without triggering Hulk.)
Dialectical Method_ Essential Prompt Template_.pdf
(Compare to pro/con, evaluation, and rebuttal. The method of studying foreign languages would also show variations in thinking styles. This particular Deep Research topic did not include Mao on contradiction. In practice Gemini tends to simplify or conflate terms like cybernetics and post-cybernetics, e.g. when discussing critiques. That may be an invitation to write up more sources so it can expand or expound upon the blanks. Empirical research could demand its own models. Or may be able to setup the browser or an app so the options include a menu of methods or chatbots that the research agent can circulate among in its pursuit. Then it likely runs into the need to simulate a computer that could indeed solve the problem. Or maybe from the machine side, they emulate a virtual person. Yet another merger of dynasties.)
Scoping Evaluation of the AI Research Report.pdf
Re: AAAI 2025 Future of AI Research. (Basically, current excitement, taken as hype, includes some things that are real but need a lot more. The next wave of participants has to determine what they want. The claim that AGI is the next milestone seems like a running punchline. Their task is to figure out what paths are feasible and for which purposes. Having said that, new capabilities enabled by the tech may also pop up and be looking for applications. Not quite theory or modeling, but classic tech. Of course, quantum could claim that Feynman was wrong, too, but somehow that persists. Action does not always depend upon understanding. A breakout from the Cave.)
AI Problem Sets Expansion_.pdf
AI in Computational Biology_.pdf
(Prompt: What are the questions or problems of the field of computational biology, also called bio computing, particularly with respect to AI?)
LearnLM: Improving Gemini for Learning
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Capabilities of Gemini Models in Medicine
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An In-depth Look at Gemini's Language Abilities
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Gemini 1 report