alain94040
Joined 19 years ago
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2,066
Member since
Aug 11
Recent submissions
Comment · 18 days ago
Do you say that as a supermarket manager, or a random person on an Internet forum? Because if it's the first, I'm very interested in hearing more on how you actually manage all the devices in your store and which ones require remote automation and which ones don't.
Comment · 24 days ago
I think the poster got it completely wrong. I suspect the suggested command was designed to help new users, who don't always understand that they should do something. An interface like chat, where you are given an empty box, has a daunting learning curve (remember DOS prompt?). So I see this feature as onboarding, to get users from novice to intermediate.
Comment · 28 days ago
surely going to max out at slightly less good (we probably can’t get perfect data) than the best human
With that argument, the basic calculator would have been impossible.
It's pretty clear that machines can be better than the best humans at memorizing things, computing relationships between concepts quickly, etc. So while you can argue that LLM are not the path forward, I have no problem imagining that using all of humanity's knowledge with a machine could beat the best human at a field.
Comment · 1 month ago
Yes, when the guy takes the device off to greet the person, good luck seeing any cable. It's magic!
Comment · 1 month ago
No. Silicon is on another level. Which is why the EDA verification is an industry on its own.
Sure, there are some software that have similar "can't have bugs" requirements. I imagine the computers on Moon missions also had that kind of high bar. I wouldn't use NASA requirements as a proof for how LLMs should be used.
Comment · 1 month ago
Not convinced by those points.
In particular, I found this very misleading or irrelevant:
a typical CPU project anecdotally has about three times as many specification and validation engineers as design engineers and a 5:1 ratio is not unheard of
The reason silicon design has such verification to design ratio is because the cost of one bug is many, many orders of magnitude higher than software. Both in dollar cost and in schedule cost (it takes months to fab a chip, and if you messed up and need to spin a fix, it costs tens of millions of dollars, not counting any design engineering cost).
I don't think you can extrapolate these very industry-specific facts to judging LLMs.
Comment · 1 month ago
Happy birthday “Tonton Serre”
Comment · 1 month ago
I wonder what kind of new AI law would be useful right now. Maybe this one:
if an AI agent does something, you (the prompter) are responsible by default, unless you can show that your the agent itself behaved in an unexpected way and that you in no way prompted or hinted at the bad behavior, in which case the model provider is liable
On the other hand, I wonder if we'll end up with another variation of the cookie law, where every AI user or vendor just adds "don't do anything illegal" as part of their prompt to defend against that law. Thoughts?
Comment · 1 month ago
Why is it a threat and not an opportunity? Imagine if in ancient times there was their Oracle that could produce mathematical proofs of any question you asked it, would you burn it or try to understand how it works and use it to ask questions you are stuck on?
Comment · 1 month ago
Currently a state of the art AI has nowhere to hide: the amount of GPU compute it requires to stay on is huge. And therefore easy to terminate.
Unlike biological viruses, AI can't replicate GPUs for free and grow.
Comment · 2 months ago
Apple is not "just using arm chips". They have been designing their own 100% custom cores for more than a decade.
Comment · 2 months ago
I'm surprised by this comment. It's probably mostly AI generated, but I have no problem reading the first 10 pages, and I found them clear and correct.
Might be that we come at this page with different experience and knowledge. I'm not seeing any specifically hard to read AI here.
Comment · 2 months ago
It will be interesting to find out the details. From the block diagram, the core only issues 10 instructions per cycle, so not especially wide. Maybe the performance will be worse once in a real phone in real thermal conditions, but if that's true, it could make for a very interesting laptop or desktop chip. Time will tell.
Comment · 2 months ago
Agreed. One of the least efficient things to do with digital logic is floating point multiplication. The second least efficient is probably integer multiply (I'm just kidding a bit here).
Multiplication may make sense for the math, but it's just not practical in hardware. There has to be a better, much simpler operation, that can give you equivalent results. Yes, you may have to re-think and re-train everything, but eventually it should make current architectures obsolete.
Comment · 2 months ago
Agreed, what I call "have your AI talk to my AI" [1]
I think that's where the future is going. It presents interesting challenges, but also some opportunities to make life better for everyone.
[1*] https://foundrs.com/have_your_ai_talk_to_my_ai.html
(*) I dislike the HN trend of starting citations at 0, I find it snobbish.
Organizer of the Startup Conference http://thestartupconference.com