Y
HN Search
Hacker News Search
new
|
comments
|
top
|
jobs
blueyes
searching PlanetScale…
1.
▲
2.
▲
3.
▲
4.
▲
5.
▲
6.
▲
34 ms
·
361.
▲
by
blueyes
9y ago
I wish you knew the history of H2O's attempts to make a decent product. H2O, the open-source project, was largely created by H2O the company's technical co-founder, Cliff Click, who was forced out of the company more than a year a
362.
▲
by
blueyes
9y ago
I'm negative on marketing fluff. You're free to enjoy it of course. >> Umm just like how everyone else does it. Wrong. Their ability to maintain and extend any of those libraries is limited. TensorFlow is hundreds of thousan
363.
▲
by
blueyes
9y ago
Let me get this straight: H2O's contribution to this project is a bunch of deep-learning libraries that they didn't create? How will they maintain and extend that? Do they know how credibility in open-source works? H2O wrote its r
364.
▲
by
blueyes
10y ago
BlackRock isn't a whole lot more advanced than many other asset managers. So sure, Wall St. uses algorithms to trade, but that's not really news... Separately, BlackRock bought FutureAdvisor so that it could use machines to do the
365.
▲
by
blueyes
10y ago
Overcoming catastrophic forgetting is a genuine step toward strong AI.
366.
▲
by
blueyes
10y ago
This article's main table suffers from the inaccurate assumption that funding round size and frequency correlates with promise. What's worse, Quid is including a "hotness" factor for the sector the startups work in, so t
367.
▲
by
blueyes
10y ago
IBM's PR in AI and now this is nauseating. They are discrediting the tech industry by repeatedly promising more than they can deliver. I wonder if their PR team even speaks with their engineers, who must be cringing.
368.
▲
by
blueyes
10y ago
I know Dan Whaley, the author of the post, personally. This is not about promoting a company. This is about allowing people with knowledge to combat fake news. He has been working to make annotation a web standard for years. The fake news t
369.
▲
by
blueyes
10y ago
One of the rarest and most under-appreciated skills in tech is the ability to explain things. As an industry, we mostly focus on building and selling, and the twain don't always meet. Many of the builders have deep and excellent unders
370.
▲
by
blueyes
10y ago
I can't tell if this guy is a jerk or just pretending to be a jerk. But the tone is pitch perfect. Even the title is pure jerky clickbait. Here's a dude who talks about visioning as his main skill, is surprised when small groups
371.
▲
by
blueyes
10y ago
articles with a question in the title rarely answer that question
372.
▲
by
blueyes
10y ago
When you click through to send the email, they jack up the price to $100. Feels scummy to me...
373.
▲
by
blueyes
10y ago
This is a sloppy piece making grand claims about a man who likes to make grand claims about himself. By most accounts, Schmidhuber is only marginally involved with nnaisense, lending his name to the endeavor so that some of his graduate stu
374.
▲
by
blueyes
10y ago
This is a classic vanity deep-learning framework that Intel built due to NIH syndrome. It's like DSSTNE. Doomed to be abandoned. I can't a worse way to position a deep learning library than to say: this only works on CPUs. When yo
375.
▲
by
blueyes
10y ago
Nobody knows exactly. So any precise estimate is guaranteed to be wrong. But people smarter than me, and deeply involved with current research, have said they think strong AI could happen in 10 years or so. Others think it's much furth
376.
▲
by
blueyes
10y ago
He does not address it in the article. As with most of his points, that one is irrelevant. What's important here is that AI is beating more and more complex games such that, directionally, it eventually be able to play (cough) the game
377.
▲
by
blueyes
10y ago
They beat Go 10 years before anyone predicted. The point is that AI is accelerating in its progress.
378.
▲
by
blueyes
10y ago
previously posted...
379.
▲
by
blueyes
10y ago
Marvin Minsky is dead, so you shouldn't refer to him in the present tense. He is unable to have opinions about current events. Secondly, Minsky was skeptical about neural nets, and he was ultimately proven wrong. Even great minds make
380.
▲
by
blueyes
10y ago
I can assure you that some of your former colleagues disagree with you.
381.
▲
by
blueyes
10y ago
He wrote this about a year before AlphaGo beat Lee Sedol... which happened 10 years before anyone expected. The singularity in the mirror could be much closer than it appears, and everything he writes tells me he knows nothing about AI. Thi
382.
▲
by
blueyes
10y ago
this is by far the most visually attractive list of deep learning resources i've seen. and they hit a lot of the main points.
383.
▲
by
blueyes
10y ago
I'm surprised at how little DHH says here. He could have stopped writing after the fifth paragraph. Or just added the phrase "Don't blame your tools" to the headline. Like bad code, this post is verbose and most of its v
384.
▲
by
blueyes
10y ago
Oracle has no say on things built with other JDKs. This is a non-issue.
385.
▲
by
blueyes
10y ago
This is the U in FUD. Online rando makes seemingly factual but ultimately irrelevant argument. Sure, some "scientists" are skeptical of human-generated climate change. But most of them are not climate scientists, and they have no
386.
▲
by
blueyes
10y ago
This used to be the basis of Siri I think. Not sure it is any more, and not sure it's state of the art of speech recognition, given what neural nets can do.
387.
▲
by
blueyes
11y ago
I'm surprised and disappointed at the quality of reporting here by Cassidy, and the quality of the quotes by the FT's CEO Ridding. Cassidy is playing softball, letting the executive get away with the usual corporate propaganda: “N
388.
▲
VR Daily News Show
(youtube.com)
2 points
by
blueyes
11y ago
|
0 comments
389.
▲
by
blueyes
11y ago
Two words: compound interest. To those that have much, much accrues. In the absence of redistributive taxes, societies become unequal because math.
390.
▲
by
blueyes
11y ago
founder's itch. we are all confronted with insurmountable opportunity.
More ›