Log

“We are neglecting the golden opportunity to prevent, even while we seek to cure.”
― Rachel Carson, Silent Spring

“What we want you to ask yourselves is this: what is space, to you? Is it a playground? A quarry? A flagpole? A classroom? A temple? Who do you believe should go, and for what purpose? Or should we go at all? Is the realm above the clouds immaterial to you, so long as satellites send messages and rocks don't fall? Is human spaceflight a fool's errand, a rich man's fantasy, an unacceptable waste of life and metal? Are our methods grotesque to you, our ethics untenable? Are our hopes outdates? When I tell you of our life out here, do you cheer for us, or do you scoff?
Are astronauts still relevant in your time?”
― Becky Chambers, To Be Taught, If Fortunate

“There are many decisions we can hand over to the machines. But I argue that only some decisions should be - even when the machines can make them better than we can. As a society, we need to start making some choices as to what we entrust to the machines.”
― Toby Walsh, It's Alive!: Artificial Intelligence from the Logic Piano to Killer Robots

“There are several other reasons why Deep Learning will not provide the whole answer to the problem of building thinking machines. First, we will often want our thinking machines to explain their decisions. Deep Learning is largely a closed box. It cannot meaningfully explain why a particular input gives a certain output. If we are to trust the system, we may want it to explain some of its decisions. Second, we will often want to guarantee certain behaviours. An autonomous car must always stop at a red light. Air traffic control software can never permit two aircraft into the same sector. Deep Learning does not permit such guarantees to be made, and we will likely need more rule-based systems to do this.”
― Toby Walsh, It's Alive!: Artificial Intelligence from the Logic Piano to Killer Robots