HN user

MrQuincle

1,676 karma

Artificial intelligence, machine learning, autonomous robotics.

I love science!

+ http://nl.linkedin.com/in/annevanrossum

+ http://www.annevanrossum.nl

Sorry, can't <a href="http://link">link</a>.

[ my public key: https://keybase.io/annevanrossum; my proof: https://keybase.io/annevanrossum/sigs/ngwVHwb25X6qGHLfJbJKrbzl8WN5mthajQZ7SnLdwHk ]

Posts77
Comments648
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dmitry.gr 3y ago

Hacking eInk Price Tags

MrQuincle
3pts0
jingxianwang.github.io 6y ago

Pushing the Range Limits of Commercial Passive RFIDs [pdf]

MrQuincle
1pts0
www.sjoerdlangkemper.nl 7y ago

Attacking RSA Keys

MrQuincle
2pts0
www.nextplatform.com 7y ago

Honeywell One Step Closer to Universal Quantum Computer

MrQuincle
5pts0
assets.ctfassets.net 7y ago

Impossible Foods Responds to Glyphosate Allegation

MrQuincle
86pts84
www.theverge.com 7y ago

Electric car battery with 600 miles of range?

MrQuincle
3pts0
scitechdaily.com 7y ago

New Findings Provide Incentive for Cracking Dark Matter Mystery

MrQuincle
2pts0
www.reddit.com 7y ago

Missing Privacy Activist Arjen Kamphuis (Bodø, Norway)

MrQuincle
2pts0
labiotech.eu 7y ago

This Transgenic Rice Could Prevent HIV Infections

MrQuincle
2pts1
m.phys.org 8y ago

Microbe breaks 'universal' DNA rule by using two different translations

MrQuincle
3pts0
www.kialo.com 8y ago

Kialo: A debate platform powered by reason

MrQuincle
1pts0
arxiv.org 8y ago

Tensor Field Networks

MrQuincle
1pts0
ermongroup.github.io 8y ago

Flow-GAN: Combining Maximum Likelihood and Adversarial Learning

MrQuincle
3pts0
ermongroup.github.io 8y ago

Flow-GAN: Combining Maximum Likelihood and Adversarial Learning

MrQuincle
3pts1
www.wildml.com 8y ago

AI and Deep Learning in 2017 – A Year in Review

MrQuincle
188pts6
gizmodo.com 8y ago

Amazon Echo Plus

MrQuincle
1pts1
www.theguardian.com 8y ago

65,000 portraits of the artist: how Van Gogh's life became a fully painted film

MrQuincle
2pts0
picktwt.herokuapp.com 8y ago

Show HN: Add social card info to an url

MrQuincle
3pts0
crownstone.rocks 9y ago

A nerd discussing Bluetooth mesh

MrQuincle
2pts0
arxiv.org 9y ago

Constrained Bayesian Optimization with Noisy Experiments

MrQuincle
3pts1
arxiv.org 9y ago

Self-Normalizing Neural Networks

MrQuincle
219pts12
www.theregister.co.uk 9y ago

Tesla hit by class action sueball over autopilot software updates

MrQuincle
1pts1
arxiv.org 9y ago

Computing Robust Compensation Insights via LinkedIn Salary

MrQuincle
2pts0
news.ycombinator.com 9y ago

Ask HN: What's your most extraordinary phishing attempt as startup?

MrQuincle
1pts0
arxiv.org 9y ago

Why does unsupervised deep learning work?

MrQuincle
90pts9
blog.ought.com 9y ago

50 things I learned at NIPS 2016

MrQuincle
2pts0
www.edn.com 9y ago

Lithium-ion battery fires: 7 solutions for improved safety

MrQuincle
3pts0
medium.com 9y ago

There is no Bayesian MCMC

MrQuincle
1pts0
xianblog.wordpress.com 9y ago

Common derivation for Metropolis–Hastings and other MCMC algorithms

MrQuincle
3pts0
link.bluetooth.com 10y ago

Bluetooth 5

MrQuincle
123pts67

There should exist a vulnerability disclosure intermediary. They can function as a barrier to protect the scientist/researcher/enthousiast and do everything by the book for the different countries.

Think so too. We will be an ancient artifact tied to a biological substrate surviving nowhere else in the universe and very dumb.

There also will not be one AI. There will be many, all competing for resources or learning to live together.

That's what we can teach them now. Or they will teach us.

Any background info on the betting on cameras alone? It sounds as silly as betting on an artificial version of our proprioception to be implemented in cars to measure acceleration. I also don't think they went all the way regarding neuromorphic engineering with spiking neural nets and artificial retinas. It's just so random to me what was decided to be good enough for autonomous navigation.

Tesla went from very expensive cars down to cheaper ones. It would make so much more sense to do the same for perception. First go over board and go for high bandwidth input and lots of processing power and optimize later.

"I've often found myself uneasy when LLMs (Large Language Models) are asked to quote the Bible. While they can provide insightful discussions about faith, their tendency to hallucinate responses raises concerns when dealing with scripture, which we regard as the inspired Word of God."

Interesting. In my very religious upbringing I wasn't allowed to read fairy tales. The danger being not able to classify which stories truly happened and which ones didn't.

Might be an interesting variant on the Turing test. Can you make the AI believe in your religion? Probably there's a sci-fi book written about it.

I think this should be launched in Europe first. Fuel is more expensive. Regulations on how long to drive are strict.

And with 400 miles it's already that far that you're not anymore in the country I live in (the Netherlands).

Does this person respect certain people in their environment? Why, on what basis?

It seems something makes this person tick but it hasn't been figured out what that is.

It's not about the contents of those disagreements. It's about them not being in a collaborative mode. It might be lack of creativity, lack of autonomy, lack of perceived excellence.

Just my two cents with the little info I got here.

Magic Leap 2 4 years ago

I think there's a use case for all kinds of price levels, but there's a sweet spot.

Anecdotally. I bought a 3D printer when it dropped below 1000 bucks. I bought the Emotiv Epoc when at 300 bucks. I bought a Saleae logic analyser at the same price level if I remember correctly. Same with other tools or toys. The HackRF, the Kinect, the Quest, etc.

The higher the price the more you'll have to explain to people how they can justify the costs. You'll have to explain how much personnel hours are being saved, etc.

The more I'm in this space (of manufacturing electronic devices) the more I'm convinced Bill of Material (BOM) and in general Cost of Goods Sold (COGS) optimization is essential. Companies that can do this in a lean manner without excessive engineering costs to do so can truly drive the price down.

If there is this operational excellence, then you can truly give most power to your strategists in the sales and marketing departments. Otherwise, they have no tradeoffs to consider and are just victims of sloppy (non-cost conscious) engineering.

How's that implemented? I'm just used to embedded. Implementing sbrk etc.

Some flags i use to disable exceptions

  # The default flags will be used in all build types
  # The C/C++ shared flags are in DEFAULT_C_AND_CXX_FLAGS, the ones particular for C or C++ in DEFAULT_X_FLAGS
  # The flags mean the following:
  #   * no-exceptions          disable exceptions support and use C++ libs without exceptions
  #   * delete-dead-exceptions throw away instructions which only purpose is to throw exceptions
  #   * no-unwind-tables       stack-walking code for backtrace generation (TODO: we might want to enable this in Debug!)
  #   * no-non-call-exceptions do not convert trapping instructions (SIGSEGV, etc) into exceptions 
  #   * thumb                  use Thumb mode (optimized instruction set)
  #   * function-sections      put every function in its own segment, now it can be garbage collected
  #   * data-sections          put every variable in its own segment
  #   * no-strict-aliasing     allow *int = *float aberrations
  #   * no-builtin             do not use abs, strcpy, and other built-in functions
  #   * short-enums            use a single byte for an enum if possible
  SET(DEFAULT_CXX_FLAGS       "-std=c++17 -fno-exceptions -fdelete-dead-exceptions -fno-unwind-tables -fno-non-call-exceptions")
GNU Radio 5 years ago

I reverse engineered a so called social alarm a bit ago. You can find it here: https://github.com/mrquincle/social_alarm

Gnuradio was also new to me. However with two HackRFs I could do the entire thing. First replay attacks. Then trying to get the code by building up a set of processing blocks. Last synthesis of the complete signal.

Very nice to do! Felt great!

Seems clunky. I would also go for a wireless solution. Moreover, I would bring out two products. The headset and the box. The box only has to be powered on. Nothing fancy. It can be completely dedicated to the headset. And the headset itself is very light and optimized for pixels and receiving data as quick as possible. In that case you don't rely on any wifi in the house.

What might happen is that you developed a box on h.256 optimized for super low latencies. Sounds as valuable tech on its own. :-)

What can happen:

+ Approximate matching. They might want to have images almost similar also to be flagged. + Scope creep. Particular images of people who are wanted or areas where they might live or shots of joints etc. + Mistakes. Accidentally flagging honest citizens and the bureaucracy that will follow. "Innocent until proven guilty..." That's not preemptively scanning someone's personal devices.

I think it's better to be a bit more charitable here indeed.

I also found it striking how the post is emphasizing how important transparency in asking questions is which might or might not reveal the intelectual qualities of the person asking, but then failing to be that transparent towards both the clerk and the reader of the blog post about the internal thought process.

If one would like people to learn, enlighten them. :-)

About 3. One of the coolest attitudes I saw was from someone (autistic, but that doesn't matter) who approached every problem as something to love, to cherish, to appreciate. Now I'm reading a book about the early days in Bell labs. I feel through the pages how much fun they had with finding issues, finding things to improve, finding out the future. I think there's so much to gain if you can find a positive approach to problems. Also in real life!

I guess there are some other conditions? Such as that you should be able to sleep in it without it causing accidents per distance driven, or only a few accidents, or only a few fatal accidents.

If not, my bed also classifies as a self-driving car