159 karma · joined December 8, 2014
Andromeda: GPT-4 Platform for enterprise-grade Copilots.
I began to 'think on my feet' more as I got good at networking and listening. As I began to suss out demand, I realised that I would always be hampered by my limited coding ability. I had a friend who was doing the coding for our team, and as he went for a PhD, he encouraged me to go for a MSc. So I did!
Long story short. I'm studying CompSci and got in largely because of the late-night coding I was doing on the side of my regular job.
However it is worth noting that Bell Labs' hey day was a while back [1].
YC's Request for Startups makes a reference to Bell Labs, 'Bell Labs worked a long time ago but would probably not work in today’s world'. I suppose the key word is 'probably'. No one knows what will happen tomorrow, but certainly Nokia and Bell Labs have their work cut out.
It seems that machine learning could be used to stabilise a nuclear fusion reactor through a real-time control strategy, e.g. optimising the reactor's environment/conditions via micro-adjustments.
(Anecdotes from HNers can be more insightful than research papers).
Some academics, notably Chomsky, openly talk about the extinction of our species as a plausible outcome of global warming. I asked him about geoengineering. He just said, 'it seems hazardous.'
http://www.economist.com/news/special-report/21678963-man-ma...
Perhaps we're on the edge of a new energy area.
Descartes was a fascinating individual. Something I recently read (but couldn't easily corroborate through the web) was that when he was a young man he had three dreams in one night. He interpreted the content of the dreams as a divine signal that he should pursue wisdom.
La Vie de M. Descartes - Adrein Baillet quoted in 'What Galileo Saw' by Lawrence Lipking
the mission website states that one of the aims is to measure gravitation waves. I would love to see the data. NASA open sources a lot of space data. Here's to hoping ESA does so too for this mission.
http://www.esa.int/Our_Activities/Space_Science/LISA_Pathfin...
How central is the OODA loop to military methodologies?
I ask because in the biography of John Boyd it was portrayed as being somewhat ignored by the Air Force (but foundational to the Marines).
Only a day or two ago New Shepherd reached a milestone. Today parts from a past SpaceX mission wash up onshore.
The proximity of these events show that space exploration is witnessing a lot of activity from agents who are operating independently.
Call it the data deluge or whatever, the sheer volume of attention seeking content out there just swamps timid voices.
Perhaps this is nothing new, however.
I recently had to loop through 1.3Gb of data (5000 files) and merge just one column from each file into a new dataset. It did so in ~2 hours. Yet the loop was just ~5 lines of code.
The website of an individual, a company, or even a framework like django rely on more than the digestion of facts, the factual-bitrate if you like. Perhaps not entirely scientific, but things like 'aura', 'emotion', 'atmosphere' and 'feel' can stimulate in a way in which a generic layout cannot. Design creates memorable impressions and literally colours our intuition and usage, allowing us to emote with others.
Although I acknowledge that the brain is not well understood, it seems plausible that some minds rely more on design (used in a very loose way here) than on a more scientific analytical mindset to interpret content and what is going on.
Note I did not use the word rational to refer to the latter mindset.
That's because humans are not particular rational. Trying to systematise the internet and remove all 'colour' would take away the beauty and the poetry of what the internet allows us to do.
So for instance I've heard it would be difficult to install linux on a macbook 2015, but using icebergs through your browser you could do so. Correct me if I'm wrong.