user: Given the following summary of the book "Human Compatible" by Stuart Russell, what is the author's proposal to overcome the limitations of the standard approach for developing AI?

assistant: <think>
Russell begins by asserting that the standard model of AI research, in which the primary definition of success is getting better and better at achieving rigid human-specified goals, is dangerously misguided. Such goals may not actually reflect what human designers intend, such as by failing to take into account any human values not included in the goals. If an AI developed according to the standard model were to become superintelligent, it would likely not fully reflect human values and could be catastrophic to humanity. Russell asserts that precisely because the timeline for developing human-level or superintelligent AI is highly uncertain, safety research should be begun as soon as possible, as it is also highly uncertain how long it would take to complete such research.

Russell argues that continuing progress in AI capability is inevitable because of economic pressures. Such pressures can already be seen in the development of existing AI technologies such as self-driving cars and personal assistant software. Moreover, human-level AI could be worth many trillions of dollars. Russell then examines the current debate surrounding AI risk. He offers refutations to a number of common arguments dismissing AI risk and attributes much of their persistence to tribalism—AI researchers may see AI risk concerns as an "attack" on their field. Russell reiterates that there are legitimate reasons to take AI risk concerns seriously and that economic pressures make continued innovation in AI inevitable.

Russell then proposes an approach to developing provably beneficial machines that focuses on deference to humans. Unlike in the standard model of AI, where the objective is rigid and certain, this approach would have the AI's true objective remain uncertain, with the AI only approaching certainty about it as it gains more information about humans and the world. This uncertainty would, ideally, prevent catastrophic misunderstandings of human preferences and encourage cooperation and communication with humans. Russell concludes by calling for tighter governance of AI research and development as well as cultural introspection about the appropriate amount of autonomy to retain in an AI-dominated world.</think>
Russell suggests that the AIs should be trained in a way that makes them gradually gain knowledge of what is truly beneficial to humans. AIs developed in this fashion would cooperate with humans while leaving them with a high enough level of autonomy.

user: Why do sailboats have to tack upwind?

assistant: Modern sailboats use sails that act as foils, with pressure that increases on the inside of the foil higher than the outside of the foil, similar to an airplane wing and described by the Bernoulli effect.  The sails must have an angle of attack that is perpendicular to the direction of the wind to be effective.  Off the wind, or heading away from the wind, the sails can be eased out to maintain this angle.  Heading into the wind, the boat can only get so close to the direction to keep the sails from becoming ineffective or "luffing."  So to head in the general direction of the wind, a boat must tack at angles to the wind, to make its way in the direction of the wind.

user: Give me a list of beginner friendly Python open source projects to contribute.

assistant: 1. Ansible: IT automation platform for provisioning various resources
2. Jupyter notebook: Interactive notebook popular in data engineering and machine learning world.
3. Pandas: Flexible and powerful data analysis library beloved by data engineers, scientists and analysts.
4. Scrapy: Web crawling and scraping framework written in python.
5. scikit-learn: This library is power packed with implementation of various machine learning algorithms.