strin

8 ms·

31.
by strin 7y ago
Must read: the structure of scientific revolution https://en.m.wikipedia.org/wiki/The_Structure_of_Scientific_... tl;dr most of the time science is incremental innovation. and big discovery comes as paradigm shifts, us
32.
by strin 7y ago
Listen and hear all perspectives:)
33.
What Makes a Good Conversation?(abigailsee.com)
207 points by strin 7y ago|11 comments
34.
by strin 7y ago
> Hinton has said that when he was growing up, his mother gave him two choices: “Be an academic or be a failure.” His family tree is branch-breakingly weighted with scientists. His great-great-grandfather was George Boole, founder of Boo
35.
by strin 7y ago
Sure - you can argue that to improve speech recognition you’ll need to collect ground truth. But only a tiny fraction of the billion users are tech savvy enough to realize this. Most people are kept in the dark. And we are trusting Apple to
36.
by strin 7y ago
Aurora Database + auto-scaling #instances = Serverless??
37.
by strin 7y ago
Looks like Elastifile allows users to "mount" cloud buckets to their servers as NFS. This allows them to run old desktop workflows without the need to migrate these workflows to the cloud. The upside is that Google Cloud is gettin
38.
Software learns expert behaviors from demonstration(cresta.ai)
1 points by strin 7y ago|0 comments
39.
by strin 7y ago
Used Google glass for a project three years ago. The biggest question for going to Enterprise is demonstrating the value the solution provides, rather than showing some cool gadgets. I still don't see a killer use case of Google glass.
40.
by strin 7y ago
I can imagine the world relying more and more on unsupervised pre-training approaches, such as BERT and GPT-2. Then we’ll just need a few labeled data to generalize.
41.
by strin 7y ago
Sometimes what users want is what users think of as a solution to their problem in the context they have. For example, users want better taxi services -> turns out ride-sharing is a better solution. Taxi service is a solution to the prob
42.
Enable everyone to be expert on day one of their job(cresta.ai)
5 points by strin 7y ago|0 comments
43.
Experts on Day One™(cresta.ai)
8 points by strin 7y ago|0 comments
44.
by strin 8y ago
It depends on how "deep learning" is defined. If it's neural networks, the answer is likely no. but a broader definition of feature learning or "end-to-end" learning makes sense. It's likely for AGI what we nee
45.
by strin 8y ago
Github has been losing the battle in the enterprise world to Gitlab. The latter has more appealing features to enterprise users. So this acquisition in some sense a great opportunity for Github as well to enter enterprise under the wings of
46.
by strin 8y ago
The most terrifying aspect for me is not massive job replacement, but such AI used for robocalls, fraud, ... Imagine you got a phone call that sounds exactly like your mom and asking for help!
47.
World of Bits: Reinforcement Learning in a Web Browser(world-of-bits.com)
1 points by strin 9y ago|0 comments
48.
by strin 9y ago
This is super cool. I've used mitmproxy 2.0 in my project ( http://world-of-bits.com ) to create an offline approximation of the website. We were trying to create a digital environment for AI agents to learn to interact with
49.
by strin 9y ago
Many U.S. businesses never survived local competition in China. Kudos for Apple to stay in business and remain a significant share of the Chinese cell phone market.
50.
by strin 9y ago
“One of my philosophies of building companies is the importance of velocity,” True. And the key to keep (increasing) velocity is momentum. I believe the fundamentals to that is infrastructure . Once you get to the "flywheel stage&quot
51.
by strin 9y ago
Democratization should allow users to "own" their models. This is not the case in Cloud AutoML. Users cannot download their models and host them elsewhere. This dependency means Google can have control over the business's AI
52.
by strin 9y ago
Levels of driving automation is an ill-defined concept. For example, L4 is defined as "mind-off". According to Wikipedia, "the driver may safely go to sleep or leave the driver's seat. Self driving is supported only in l
53.
by strin 9y ago
> there's a lot of other factors to work out like scheduling, routing, supply-demand management, optimal vehicle distribution, pooling etc These things come along the way. If there is a service that's 10x cheaper than Lyft, I c
54.
by strin 9y ago
Another competitive advantage of China is data. China has 1.4B population, and nearly everyone in the country owns a mobile phone. This will contribute data 3-4 times larger than US. Considering second-order interactions (network effect), t
55.
by strin 9y ago
Their high-speed rail train is not maglev. There is one built by Germany in Shanghai, but it was more of a demo than an actual infrastructure.
56.
by strin 9y ago
Great work. I've also been working on a similar open-source project "Sharead". https://github.com/strin/sharead It has a chrome extension that uploads Arxiv papers, and you can manage papers with tags. I
57.
by strin 9y ago
I own a chevy volt and it never felt as good as it should be. Initially it has a burning smell on gas mode. I took it to the dealership for maintenance and they said GM's official solution is to install a "carbon filter" to t
58.
by strin 9y ago
Most industries tend to consolidate over time with a few big players. For technology it's particularly true given the winner takes all phenomenon. Unless there is a fundamental new technology / hardware platform, there's litt
59.
by strin 9y ago
Take my money!
60.
by strin 9y ago
The home IoT world is broken - I got lots of devices (Sonos, Hue, Alexa, Roku, ...) and they don't play well with each other. Shoutout for data and API integration layer for Home IoT.

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