A Quote by Frances Arnold

I wanted to rewrite the code of life, to make new molecular machines that would solve human problems. — © Frances Arnold
I wanted to rewrite the code of life, to make new molecular machines that would solve human problems.
I wanted to make enzymes that would solve human problems, not just problems for a cell that makes them.
If you search the scientific literature on evolution, and if you focus your search on the question of how molecular machines - the basis of life - developed, you find an eerie and complete silence. The complexity of life's foundation has paralyzed science's attempt to account for it; molecular machines raise an as-yet-impenetrable barrier to Darwinism's universal reach.
Protein engineering is a technology of molecular machines - of molecular machines that are part of replicators - and so it comes from an area that already raises some of the issues that nanotechnology will raise.
A small-state world would not only solve the problems of social brutality and war; it would solve the problems of oppression and tyranny. It would solve all problems arising from power.
No matter what, the way to learn to program is to write code and rewrite it and see it used and rewrite again. Reading other people's code is invaluable as well.
The technologies that will be most successful will resonate with human behaviour instead of working against it. In fact, to solve the problems of delivering and assimilating new technology into the workplace, we must look to the way humans act and react. In the last 20 years, US industry has invested more than $1 trillion in technology, but has realised little improvement in the efficiency of its knowledge workers ­ and virtually none in their effectiveness. If we could solve the problems of the assimilation of new technology, the potential would be enormous.
By definition, the Singularity means that machines would be smarter than us, and, in their wisdom, they can innovate new technologies. The innovations would come so quickly, and increasingly quickly, that the innovation would make Moore's Law seem as antiquated as Hammurabi's Code.
Most people will solve the problems they know how to solve. Roughly speaking they will solve B+ problems instead of A+ problems. A+ problems are high impact problems for your company but they're difficult problems.
Technology will definitely solve all our problems, but in the process it will create brand new ones. But that's O.K. because the most you can expect from life is to get to solve better and better problems.
After realizing that we would eventually be able to build molecular machines that could arrange atoms to form virtually any pattern that we wanted, I saw that an awful lot of consequences followed from that.
Most zombie stories, the problems they solve are not the actual zombies. The problems they solve are the human interactions.
If we're going to achieve compassion in the machines and also feel safe with the machines, to raise machines with human-like values, we need to make them human-like by simulating, or perhaps eventually imitating, human beings in high accuracy from top to bottom.
Give us detailed, testable, mechanistic accounts for the origin of life, the origin of the genetic code, the origin of ubiquitous bio macromolecules and assemblages like the ribosome, and the origin of molecular machines like the bacterial flagellum, and intelligent design will die a quick and painless death.
Discipline is the basic set of tools we require to solve life’s problems. Without discipline we can solve nothing. With only some discipline we can solve only some problems. With total discipline we can solve all problems.
Machines have the ability to assemble things faster than any human ever could, but humans possess the analytics, domain expertise, and valuable knowledge required to solve problems and optimize factory floor production.
No scientist is admired for failing in the attempt to solve problems that lie beyond his competence. ... Good scientists study the most important problems they think they can solve. It is, after all, their professional business to solve problems, not merely to grapple with them.
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