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After the end of the startup era

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191–200 of 304 posts

Re: After the end of the startup era

#191
One killer for startups is the weakening of patents. After eBay vs. MercExchange, easy post-grant re-examination, and Seagate[1], the worst-case penalty for infringing a patent is only paying the royalties that would have been paid if a license had been negotiated. So there's no incentive left for big companies to buy technology; they can just steal it.

This is new. All those things changed in the last 15 years. The result is that VCs have gone for market share, not technology. (Or they've gone for pharma, where patents still work.) Until about 2000, Silicon Valley VCs wanted startups to show that they had a strong intellectual property position. That all changed in the first dot-com boom, when it started being about buying market share.

This hurts innovation. Why work on a hard problem?

[1] http://www.fulcrum.com/punitive_damages_are_now/

Re: After the end of the startup era

#192

From the article: "We’re already seeing this. Consider Y Combinator, by all accounts the gold standard of startup accelerators, famously harder to get into than Harvard. Then consider its alumni. Five years ago, in 2012, its three poster children were clearly poised to dominate their markets and become huge companies: AirBnB, Dropbox, and Stripe. And so it came to pass." "Fast forward to today, and Y Combinator’s thr…

The journalist reveals his or her ignorance by not considering Gusto or Flexport to be well positioned, imo.

Re: After the end of the startup era

#193

This article is using false assumptions about AI to back up its narrative. "AI doesn’t just require top-tier talent; that talent is all but useless without mountains of the right kind of data. And who has essentially all of the best data? That’s right: the abovementioned Big Five, plus their Chinese counterparts Tencent, Alibaba, and Baidu." Making the next quantum leaps in AI is not a question of data advantages. 1)…

You can also leverage Google's apis and their expertise. These kind of articles forget about the api economy. Then we have new technologies like "serverless" that radically lower the bar to entry for new business to get into the game. Why did I work for the guy who founded Geocities instead of founding something myself? Up to my neck in studio loans and remember in 1998 you had to cough up $1 million for a starter oracle license to go big, today you can scale as you go. The only thing that will end the startup is a lack of creativity and vision, it keeps getting easier and easier to jump in.

Re: After the end of the startup era

#194
post #177
post #73

Earlier quoted context omitted.

Or is it a chicken and egg problem? VR interests me, but I don't feel there is a killer app yet to make the plunge worth it.

Disregarding the new applications enabled by the medium, think of it as simply a new display form factor. Once the quality exceeds the best flat screens we can produce, having one unobtrusively attached to your eyes at all times becomes a no-brainer (from a cost-benefit perspective; obviously there are lifestyle-altering implications that each individual will have to embrace or reject on their own terms).

A poster above mentioned that they experienced VR some 30 years ago. I, myself, had a chance to work with it in the early 1990s. Truth be told, it was horrible. It was rudimentary and the graphics were very poor as it was computationally expensive. Exploration stopped and we reexamined the tech a decade later, with similar results.

I've long since postulated that I'd absolutely volunteer to 'jack in' to a neural method to control a computer - complete with my standard joke about being willing to even have a wifi antenna poking out of my skull.

I wonder, then, if we are going about this the wrong way. We are trying for ocular stimulation directly. If we could skip that and move to neurological stimulation directly, I'd expect VR and AR to finally reach the tipping point. There is, after all, a finite amount of miniaturization that's possible.

It is purely a hunch that tells me VR/AR are not destined for wide-scale 'normal people' adoption until it doesn't require external apparatus to utilize.

As it is, we already have people who don't even like wearing simple eyeglasses. However, if it didn't require such, then it may just be something we humans add to our bodies to augment it.

Thoughts?

Re: After the end of the startup era

#195

> Big businesses and executives, rather than startups and entrepreneurs, will own the next decade; today’s graduates are much more likely to work for Mark Zuckerberg than follow in his footsteps This is a tautology and reflective of the mindset that produces articles like this one. There is only one Zuckerberg. Unicorns are by definition rare, and disrupting entrenched business interests is rare because they are entr…

Yeah this is another example of how SV exists in a bubble and can't see the broader world. Today's graduates are more likely to work for Zuckerberg than to follow him, as were yesterday's, as were the day before's and so on. It only seems like everyone is a founder because that's how it was in SV. It only seems like every stopped creating startups because that's how it is in SV. But like everything else in the world,…

I see other 'startups' that I think are missed by the SV folks. They aren't tech, but may use tech in their startup. I see quite a few of them.

They are people starting their own business. A friend borrowed some money to start a business where he drives a remote control vehicle down pipes to examine them from the inside. The space didn't have much 'local' competition and he was able to spot that, take advantage of it, and now has a dozen employees, has repaid the money, and is seeking to expand his operations. A similar experience was loaning my sibling some money so he could start a plumbing company - except it is more niche and not residential. They use some tech but they aren't tech companies.

It seems to me that the SV pundits see the tech startups while not seeing the guy who does vehicle power washing on-site, the interior decorator that uses 3D modeling and VR, or the folks who opened a diner where they have automated the food ordering process.

Re: After the end of the startup era

#196

This article is using false assumptions about AI to back up its narrative. "AI doesn’t just require top-tier talent; that talent is all but useless without mountains of the right kind of data. And who has essentially all of the best data? That’s right: the abovementioned Big Five, plus their Chinese counterparts Tencent, Alibaba, and Baidu." Making the next quantum leaps in AI is not a question of data advantages. 1)…

1) That's false. AlphaGo did not just train by self-play. It trained on millions of pre-played games, and the bot also uses hand-engineered features for their MCTS hybrid (best) model. Refer to their paper for details.

2) Read the article that you are referencing please. What you are implying is not the thesis of that article nor is it what Geoffrey Hinton is saying.

What Hinton is saying is, we should throw out deep learning. What he is saying is that the current approaches to AI are fundamentally broken and aren't going to result in artificial general intelligence.

Backpropagation is not just used in supervised learning, it is also used in unsupervised learning. I happen to agree with Hinton, in that there is too much hype around the current state and successes of AI, which has mainly been in "narrow AI".

AI is a term that gets thrown around a lot these days. But there is a big difference between technology that automates the tedious tasks of daily life, and artificial general intelligence.

In the world of deep learning, data is king.

Re: After the end of the startup era

#197
post #88

It’s almost as bad as when we solved all of physics in 1917. I’d write more, but I have to go to the chemist’s to buy some westinghouse relays for my Bell systems electrified collating typewriter-telegraph.

"640K ought to be enough for anyone" - Bill Gates, ~1985

Re: After the end of the startup era

#198
post #135

Earlier quoted context omitted.

> 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."

Although it sounds outrageous when you say it like that, its pragmatic, and fits us as a species. I'd like petrol to be 3 or 4 times the cost it is now. That would greatly reduce emissions, but fossil fuels could still be used in situations where there was no alternative (long distance flight, huge earthmoving machines?). Inevitably, rich jerks would continue to ride their jetskis. So what? You can't legislate people…

Some of those giant earth-movers, like the tracked mining equipment that fills a giant mining-sized dump truck, are already powered by electricity that is generated on-site. They have big giant cables that trail behind them.

I mention this just to share that there is some chance of this improving, even in areas we might not think likely. If it is a long-term mining operation (short-term someday, perhaps) then I can't think of a technical reason that prevents wind and solar being used to generate the on-site electricity.

A recent HN article was about one of the mining dump trucks being powered by battery and using regenerative braking to mean it was able to charge itself. Those giant diggers are already using braking in their cables that power their shovels. Maybe there is something to capture there, as well.

In my work, I had the chance to deal with some riggers and some crane operators (smaller stuff) by just exposure while collecting data. During that exposure, I learned something new. Lifting the stuff up is actually pretty easy. It is putting it down that is difficult. Maybe there is some energy to capture in that process?

Re: After the end of the startup era

#199
> today’s new technologies are complicated, expensive, and favor organizations that have huge amounts of scale and capital already.

That is not a fact of life or act of nature, but to a great degree it is a choice. Decades ago, engineers built many technologies that were conceptually simple, elegant, open, free-as-in-liberty, and hackable - not by accident, but to empower hackers and end-users. Those efforts created the environment, platforms and tools that the startups thrived on. What are today's engineers building for the next generation?

For example, I recently had to learn in-depth how computers boot these days - down in the weeds with ME, TPM, UEFI, SEDs, PXEs, GPT, and more:

First, the complexity of that small step to starting your computer is beyond an individual's comprehension; just one spec was 2,500 pages; many technologies' roles overlap and it's not clear why there is redundancy or how they integrate with each other. Perhaps there is someone who specializes in this narrow field as a full-time job and actually grasps it all, or maybe if I had a year to dedicate to it - but I can't imagine some new teenage hacker mastering it.

Second, much of it is proprietary or at least not free. TPM and ME, for example, are ultimately outside the user's control.

Compare that to the former system of POST - BIOS - MBR - boot loader. I'm not saying change is bad and that we couldn't have improved on it, but clearly nobody thought about making it hackable or empowering end-users.

I'll go a little further and say it reflects - I can't support a causal connection - a broader loss of interest in the 'American Dream', equality of opportunity (or at least an abundance of it for all), and empowering the little guy and underdog. The U.S. also cuts back education and other programs that give opportunity to less advantaged citizens, often with the idea that the powerful should not be hindered by taxes or government. Polls show interest in democracy is slipping, with the US government saying it's not worth promoting abroad (the White House and State Dept both explicitly said it) - democracy is political empowerment of the little guy; everyone gets a vote and is equal. Some political groups even explicitly argue that their group should dominate the others. I'm not starting a political debate; I'm just pointing out that it's a much different outlook.

Re: After the end of the startup era

#200

This article is using false assumptions about AI to back up its narrative. "AI doesn’t just require top-tier talent; that talent is all but useless without mountains of the right kind of data. And who has essentially all of the best data? That’s right: the abovementioned Big Five, plus their Chinese counterparts Tencent, Alibaba, and Baidu." Making the next quantum leaps in AI is not a question of data advantages. 1)…

I think the conclusion may still be sound despite the reasoning. It may not be a "data advantages" question, but it is still almost surely going to be a question of human capital -- and the only places likely able to afford the talent & operational costs are going to be "Big N" companies. There is a tremendous amount of human expertise involved in the advancements we're seeing in AI.

AlphaGo Zero is the product of incremental improvements made by the same group of computer Go experts that built the original system. _They_ learned from each experiment and incorporated that knowledge in the next version. It was not obvious _a priori_ that the AlphaGo Zero architecture or training method would succeed; if it had been, then the AlphaGo team would not have built the earlier versions. And while it runs on "only" 4 TPUs for inference, those TPUs are each about 30x as powerful as the computers that the original AlphaGo ran on, so it's more like a reduction from ~180 GPUs to 120 equivalent GPUs.

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