Adenosine builds up as longer as we are awake. It creates a sleep driver or hunger, the higher it’s level are. Caffeine acts as a adenosine antagonist, blocking the adenosine receptors hindering the feeling of sleep hunger.
Simply adding "Repeat the question before answering it." somehow make the models answer the trick question correctly.
Probable explanations: Repeating the question in the model's context, significantly increasing the likelihood of the model detecting any potential "gotchas."
One hypothesis is that maybe it puts the model into more of a completion... See more
Both the OODA loop and PDCA (Plan, Do, Check, Act) cycle can be applied as frameworks for AI agents to go through retrospection phases or steps while performing tasks. The choice between the two depends on the specific context and the desired outcome of the retrospection process. Let's examine both frameworks in this context:
Pre-mortems: imagine the project or launch went wrong or failed in 6 months, what went wrong? It creates the psychological safety to mention what could go wrong and creates a shared language about failure.
W&B Prompts – LLM Monitoring provides large language model usage monitoring and diagnostics. Start simply, then customize and evolve your monitoring analytics over time.
How do we heat up? We heat up through external sources (ambient temperature, clothing) and internal sources (heat generation). Body temperature varies across the day and across individuals. We have to distinct temperatures - shell and core temperature. The temperature at the core is always higher than at the shell. The brain is constantly... See more
Moravec’s Paradox is the observation that high-level reasoning (e.g., chess, math) is relatively easy for computers to perform, while simple sensory tasks (e.g., perception, reflexes, mobility) are much harder.
Moravec believed that most people thought this result was the opposite of what most people expected,