wittedhaddock

Peter Godfrey-Smith also writes about this in Other Minds: The Octopus, the Sea, and the Deep Origins of Consciousness

for editor: I remember reading that Seneca died not by suicide, but by first slitting his wrists -- and not dying -- before he then went to the bath and died by chocking on the steam, is his death reason controversial?

For cases where the payload is small (<100kb), Caffeine (http://www.caffei.net/) is a good solution (TCP based)

I have explained utility maximization of reading using monte-carlo visual in the past. I appreciate your comment.

In Origin he actually acknowledges, though not too deeply, several of natural selection's failures to explain evolution entirely. And it seems unlikely that "everything" in his model has failed. Why Only Us by Chomsky/Berwick point out several of these failures in good detail, esp. with reference to language. But Darwin/Wallace were right on some pretty big things as far as I can tell, but I welcome your argument contrariwise.

How do you define modern thought? How do you measure impact on it?

He also discovered that heat is motion, so the dude practiced what he preached to good success.

The Story of Philosophy by Will Durant

^ This book more than any other

(I totally appreciate any and all references to Coase!)

yes! Do you remember where you learned of it by name?

(It came up for me in Ivan Illich's Deschooling Society :)

What tool (or arg passed to curl maybe) allowed you to generate that response? The graph is great

Are you developing any iOS apps in Swift? How might I contact you to ask about your experience so far?

Are you suggesting something like http://espresso.caffei.net/ ?

What are you working on today? Are you still using assembly?

Any apps on the store using this? Would be interested to understand more

This is an incredibly real problem. As someone who sells high performance networking to mobile apps[1], it's unbelievable how many people will say their load times are "fast enough," but when you dig into how they reached that conclusion it's in fact only on their near-flawless enterprise WiFi with 0% packet loss. They just don't put themselves into the actual shoes of their users.

More, I have yet to find an organization that understands -- or even measures -- their business metrics with respect to network type. There is decent understanding of the notion of performance, clearly, but abhorrent understanding of performance as a _parameter_. The vast majority of people just don't ask basic questions like "how do my users on 3G engage differently than on LTE?".

If anyone has any ideas about how we can educate people about their performance problems I'm all ears!

[1] http://www.caffei.net/ (happy to answer any questions or rant offline, just drop me a line: james at our site address)

I had the same question, so I was sure to be there to audit this class. It was great. He goes into Geoff Moore's product distribution model... underscoring the importance of finding early adopters rather than already established huge guys who think a new technology is too risky. He acknowledges that if you build it they're not guaranteed to come. He shares several anecdotes from his time building Ascent Technologies, which I believe is airport-plane-traffic-management software (with AI) used by 80% or so of all airports in the U.S.

Patrick Winston is a great and engaging person!

They totally can. Main point is that we free up all engineering hours otherwise spent on optimizing performance.

For iOS, we have a product that automatically makes many improvements to load times and latency to allow engineers to focus on UX/UI rather than low level perf like so many do

http://createwithcaffeine.com

We built a similar feature into Caffeine—http://www.caffei.net/

they're absolutely right about the affect on UX & revenue...

HTTPS also increases the page load time, and there's plenty research that shows the relationship between latency and CTRs.

I'd like to add a shameless plug by noting that I'm working on a project that renders performance and security much of a false dichotomy within native iOS applications. We hope to incentivize the capitalists in the room to secure their applications by coincidence of making them faster. Caffeine: http://www.caffei.net/

We do, but not at the millions of users level. We use it to run a swift proxy server.

We have no interest in scaling on OSX and plan to port to linux. It's an interim type of thing.

Caffeine | INTERNS REMOTE (Cambridge, MA/Boston/Austin, TX)

What: Making it _really_ easy to write high quality applications

We're starting by making the network performance on iOS applications far, far faster: http://www.caffei.net/

Hiring Process: No formal process, but we need all the help we can get. If you can contribute, come contribute. Let us know what you need to contribute, and we'll resource you as best we can.

We have a small office in Accomplice VC's office on 1st st. in Cambridge, but often work from home/the public library.

We need help with sales, data analysis (to tool sales & marketing), engineering, & marketing. Our product is full stack Swift (yes, on the backend too).

If interested in learning more please feel free to contact me: james@caffei.net

I was surprised by Carl's toking habit too!

Where do you see YC in a decade? How will you know it's there?

Boston/Cambridge | ONSITE | All roles

It has to become easy to build quality and secure mobile apps.

There's a lot of bloat in networking requests, so we redesigned them for mobile. The results speak for themselves.

You must be willing to work on incredibly difficult problems—sales/marketing/stats/dev/etc

We're based out of Accomplice's offices, and are in a sort of stealth mode. No current monetary compensation available.

contact if interested: wittedhaddock@gmail.com

"Oh, we don't travel at the speed of anything," Mrs. Whatsit explained quite earnestly. "We tesser." Madeleine L'Engle, A Wrinkle in Time

Machine learning is not Artificial Intelligence.

Machine Learning is applied science. Artificial Intelligence is science.

I audited a class on policy at the Harvard Kennedy School in October of 2015, and instead of going to class one day, we listened to a speaker (Jaron Lanier). After the talk, I stuck around in the front row and eavesdropped on people asking him questions. Eventually, one person came up to his side and asked "are you going to Marvin's house tonight?" I thought this person may have been talking about Minsky! So after Jaron responded with a "maybe" I approached this man and asked him if he was. And he did mean Minsky!!

This man and I started talking about intelligence, ML vs. symbolic, and more... he truly knew many intricacies of AI! Eventually, for some amazing reason, out of nowhere he asked me if I wanted to come to Marvin's house that evening! Of course I said yes! At the time, the only paper I had on me was ironically Patrick Winston's thesis printed out in my backpack, so this man wrote the name "Henry Lieberman" (a colleague of Minsky's) on the cover and gave me Minsky's address!

I went to Marvin's house that evening, and it was simply wonderful! We talked about SoM, and I was included in these discussions and was treated like a colleague. Marvin answered all my initial questions, but only created more within me! He engaged me! I really felt included. It was one of luckiest days in my life.

I'm sharing because I'm reading other stories about people's encounters with Marvin, and while I was reading them I didn't feel as sad. Perhaps mine might do the same for someone somewhere.

It was designed to be more continuous, and flowy. I believe Marvin, during one lecture, mentioned that a younger audience preferred it.

I don't compare the two. They are different presentations of an idea. I find reading them to be a great way to think deeper, and ask better questions about, the ideas abstracted.

Whenever I read TSoM and EM, I always feel like I missed so much -- this feeling seems to only increase read after read.