pesenti

19 ms·

151.
by pesenti 9y ago
Scrabble is an easily solved problem... No AI necessary, just brute force.
152.
by pesenti 9y ago
I was about to comment "no way, Pittsburgh also has the $10 toast"... but then looking around to the place I used to go to, I realize it's more like $4-$5 (see http://www.coca-cafe.net/breakfast.php or https
153.
by pesenti 9y ago
It's a good point, I have noticed that as well. But it's both a cause and consequence of the lack of easy access to capital. Early stage big ideas that require a lot of initial capital just won't get funded in a place like Pi
154.
by pesenti 9y ago
I lived in Pittsburgh for 17 years. I bootstrapped a company out of CMU, grew it to $25M/year in revenue and sold it to IBM. Pittsburgh is a great place to start a company, lots of tech talent, lots of support and exposure in the commu
155.
by pesenti 9y ago
20 years ago, all the engines (AltaVista, Lycos) did exactly that. And then they all became "portal" like. And then a brand new engine with just a search box (so refreshing so clean) came along and swiped them over....
156.
by pesenti 9y ago
The next AI winter is going to be really cold...
157.
Why France Is Taking a Lesson in Culture from Silicon Valley(nytimes.com)
10 points by pesenti 9y ago|0 comments
158.
by pesenti 9y ago
Having developed and sold virtual agents for Watson, this is one of the major issue I faced. I had to make it clear to our customers (and especially to the sales and marketing teams) that agents only work in a narrow domain, whose boundarie
159.
by pesenti 9y ago
Is it some form of tying? https://en.m.wikipedia.org/wiki/Tying_(commerce)
160.
by pesenti 10y ago
Compare that to most of the Ivy League: " In 2009, Princeton admitted 41.7% of legacy applicants—more than 4.5 times the 9.2% rate of non-legacies. Similarly, in 2006, Brown University admitted 33.5% of alumni children, significantly h
161.
by pesenti 10y ago
It's not unusual for newspapers to fiddle with headlines. This one was modified around the time it was published. https://web.archive.org/web/20170120230201/https://www.nytim... (way before Trump&#x
162.
by pesenti 10y ago
Yes but so are many other factors. In a tight election you can attribute the win to a plethora of factors, doesn't make each of them more meaningful. Plus the profiling itself not being very reliable, I have big doubt as to their abili
163.
by pesenti 10y ago
Cambridge Analytica first supported Cruz against Trump. So there is little hard evidence that it is such a powerful weapon. Bannon is on the board of the company and these articles feel like company-fed buzz. I led Mercer's old team at
164.
by pesenti 10y ago
Comparable offering from IBM Watson: https://www.ibm.com/watson/developercloud/
165.
by pesenti 10y ago
It is a filtering, nonsense expurgating mechanism. I have no sympathy for professional researchers. I for my part spent the first twenty three years of activity in a full-time highly demanding extremely stressful profession while studying,
166.
Will artificial intelligence help to crack biology?(economist.com)
2 points by pesenti 10y ago|0 comments
167.
by pesenti 10y ago
David Ferrucci lead the team who built the Watson research system that won at Jeopardy. He left for Bridgewater in 2014, before the IBM Watson unit was created, and way before Dalio came back to run Bridgewater.
168.
by pesenti 10y ago
There is a link to it in the article: http://gabriel-zucman.eu/usdina/
169.
by pesenti 10y ago
It makes the results much more striking, even more at the top than the bottom, but not necessarily in a bad way. Raw percentiles aren't representative (e.g, knowing that the bottom 50% makes $50K and lower doesn't tell the full pi
170.
by pesenti 10y ago
> The giant piles of dirty data are that way because for thirty years no one has considered them worth cleaning up. How will they create such astounding amounts of unexpected value? It was left that way because we didn't have the to
171.
by pesenti 10y ago
Not a bad way to put it. You could make his argument valid though by discussing the economic value of the problems solved by the first category of people vs. the third. Right now I agree with him that the first is bigger than the third. But
172.
by pesenti 10y ago
Right but in this case there is a trade-off: if you don't have the better data now how long before you will? Should you start now (and gain a time advantage at a cost) with what you have or wait for the better data (read sensor/pr
173.
by pesenti 10y ago
When I was at Watson this is the first thing I told every customer: before you start with AI are you already doing the more mundane data science on your structured data? If not, you shouldn't go right away for the shiny object. This sa
174.
by pesenti 10y ago
I believe you misread the article. It is indeed about a software generating paragraph length description. The article gives a few example outputs. It's not yet human like but getting there.
175.
by pesenti 10y ago
I live near downtown New York with a beautiful view of the financial district. Most of the towers stay fully illuminated throughout the night every night. Some turn off some floor at times but a majority do not (e.g all floors of the Goldma
176.
USPTO examples of patentable Abstract Ideas [pdf](uspto.gov)
1 points by pesenti 10y ago|0 comments
177.
Meet your new language tutors: the Duolingo Bots(duolingo.com)
13 points by pesenti 10y ago|1 comments
178.
Duolingo Bots(bots.duolingo.com)
1 points by pesenti 10y ago|0 comments
179.
by pesenti 10y ago
We also heard that this reporter was 'encouraged' to write this by someone from a competing accelerator with an obvious agenda If you are making accusations against the writer you need to substantiate them. Or else it's jus
180.
by pesenti 10y ago
I am the opposite. I used not to care much about computers (I liked math). But I have been blown away but what they enable us to do. And it keeps getting better. Yes computers allow us to Tweet or Facebook which may not seem like a great ad

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