Live data from Hacker News

After the end of the startup era

techcrunch.com

121–130 of 304 posts

Re: After the end of the startup era

#121
post #107

Earlier quoted context omitted.

We're offering early access to a presale of our ICO to highly-valued partners; please direct inquiries about how you can be a member of this exclusive group to ponzi@scheme.coin

I’d like to see your whitepaper!

How do you hit on a network engineer?

Re: After the end of the startup era

#122
post #110

Earlier quoted context omitted.

Mobile devices are very constrained. The OSes are locked down, the screens are small, high CPU apps are out, and input is slow and cumbersome. After trying a lot of apps I have found that a smart phone has only a few functions: 1. Talking and texting. 2. Taking pictures and video. 3. Maps and directions. 4. Music, movies, ebooks. 5. Brief interactions with services like Uber, Lyft, AirBnB, Los Angeles metro, etc. 6.…

You forgot the biggest smartphone market: 7. Games

I guess I don't game much, but yes that can be added too. Still there is a huge gap between phone games and PC and console games.

Re: After the end of the startup era

#123
post #37

Earlier quoted context omitted.

Of course it's a kind of transfer learning. >will never compete with huge stacks of data Children learn with sparse data based on composable models, and are bio machines.

This boils down to a fundamental divide in life view. Anyone who has done any amount of expanding their consciousness will tell you that there is a ghost in the machine. It's always a mistake to assume that all you can see is all there is to see.

I am a materialist, there is no magic :)

Re: After the end of the startup era

#124
post #42

I look at it from another end - I feel there is a sort of an app fatigue. Maybe it is jut me. I used to be excited about Uber-like things, note taking apps, DropBox, coupon sites, review sites. Installed some of them, used them, then kind of stopped. Someone at work would say "you should try this new thing, totally cool" and I'd be inclined to do it, but now would pass it probably. Extrapolating scientifically from t…

I've almost given up on the Play Store. It's overblown with all sorts of useless garbage. Want an alarm clock app? There are hundreds, if not thousands. I couldn't even find what I was looking for. Paid apps., Ads, in-app. purchases. It's an alarm clock for heaven's sake.

https://play.google.com/store/apps/details?id=com.urbandroid...

Paid.

Used it for years. Just works.

Integrates with my Hue lights.

All kinds of settings including one that refuses to turn off the alarm if I don't use the NFC code in the bathroom (you can use QR codes as well as plain barcodes as well, just hide them away from reach from your bed.

Re: After the end of the startup era

#125
post #89
post #44

Earlier quoted context omitted.

I agree the future is built on small businesses. But to have the most impact on the environment we could all just stop eating so much meat.

Why would we do that when are bodies are specifically evolved for eating both vegetables and meat? I, for one at least, consider along the millions of years that evolution tried a version of homo sapiens that couldn't eat meat, and it was selected against...why would we now attempt to overturn the apparent wisdom of that selection?

This is the classic "appeal to nature" fallacy. On top of that, we don't know much about the diet of ancient humans, including how often they actually got to eat meat. Natural selection isn't wise, it's just an uncaring response to the environment. The environment has changed dramatically.

Re: After the end of the startup era

#126
post #69
post #61

Earlier quoted context omitted.

Now we start to stick AI on a business. And like with uber/airbnb where an app became the business, we'll see unicorns where the AI will become the business.

AI is some applied math. But as applied math goes, AI is only a tiny fraction, nearly absurdly narrow, and not very impressive. There's a lot more good applied math to be brought forward to exploit the recent fantastic hardware.

The other half of AI is data. Valuable propietart data. ie credit card transactions or checkin data from foursquare

Re: After the end of the startup era

#127
post #44

Earlier quoted context omitted.

I agree the future is built on small businesses. But to have the most impact on the environment we could all just stop eating so much meat.

I prefer figuring out how to incorporate the externalities instead of banning/quitting things. Meat at twice the price would probably solve the problem.

> Meat at twice the price would probably solve the problem.

While true, it basically sends the message of "If you have enough money you are free to do what you please to the detriment of the planet."

Re: After the end of the startup era

#128
post #72

Earlier quoted context omitted.

Travelling less is much more important. Skip that vacation to Europe or Asia if you really want to have an impact on your footprint. Just one such trip dominates the impact of eating meat.

"... four widely applicable high-impact (i.e. low emissions) actions with the potential to contribute to systemic change and substantially reduce annual personal emissions: having one fewer child (an average for developed countries of 58.6 tonnes CO2-equivalent (tCO2e) emission reductions per year), living car-free (2.4 tCO2e saved per year), avoiding airplane travel (1.6 tCO2e saved per roundtrip transatlantic fligh…

> having one fewer child (an average for developed countries of 58.6 tonnes CO2-equivalent (tCO2e) emission reductions per year)

I.e. one (or one thousandth, given his carbon footprint) less Zuckerberg? I could get behind that. Heck, I supported NPG back when I thought humanity had a chance.

Re: After the end of the startup era

#129
post #34

Earlier quoted context omitted.

> One-shot learning will get solved. This is nonsense. I would challenge you to show any few-shot learning work that isn't basically some form of transfer learning in disguise. Few-shot learning is super useful if you're in a position where you don't have much data, but will never compete with huge stacks of data.

The nice thing with digital models is they can get data from everywhere and continue to improve slowly over time. It's the lean startup applied to ML: there's nothing wrong with launching with a one-shot ML product to test a hypothesis, and as time goes on keep adding to it. That's the core concept there: start with a working but basic model and continue to extrapolate from that as time goes on. "I would challenge yo…

> That's the core concept there: start with a working but basic model and continue to extrapolate from that as time goes on.

This has literally nothing to do with few-shot learning though. You can always make a crappy model with a small amount of data and then improve it as you get more. And my point is that if you have a competitor with several orders of magnitude more data, their models are almost certainly still going to be better than yours.

Few-shot learning will probably be able to improve the baseline of what you can do on certain tasks, but you're not magically going to learn a sufficiently accurate cancer diagnosis algorithm from 5 radiology images.

The best case for few-shot learning is that you go from "worse than the alternatives" to "good enough for some people to get value", which will probably happen a few times, but is going to be a minor phenomenon.

Re: After the end of the startup era

#130

Earlier quoted context omitted.

This boils down to a fundamental divide in life view. Anyone who has done any amount of expanding their consciousness will tell you that there is a ghost in the machine. It's always a mistake to assume that all you can see is all there is to see.

I am a materialist, there is no magic :)

I agree that there is no magic, but evolution has done some pretty impressive initialization.
Post reply on HN