pankajdoharey

5 ms·

1.
by pankajdoharey 6mo ago
There is absolutely no need for this to exist in physical form. It is perfectly alright to run this on a simulation in Logisim Optimize as long as you desire and then once that is done, implementing it in physical form is just a matter of a
2.
by pankajdoharey 6mo ago
That's a lot of transistors. Why do I feel it could be done in less? This is the absolute minimum number of Discrete transistors you need?
3.
by pankajdoharey 7mo ago
Looks like a Tiny Analytic transformer, RNN is arguably a better choice if you are gonna handwire an architecture to mechanically do addition. Learning is about discovering the patterns and algorithm from data. Wiring a machine to follow a
4.
by pankajdoharey 7mo ago
I understand that what Taalas is claiming. I was trying to actually describe that model on a hardware is some not something new Or unthought of The natural progression of FPGA is ASIC. Taalas process is more expensive And not really worth i
5.
by pankajdoharey 8mo ago
There is nothing new here. This has been demonstrated several times by previous researchers: https://arxiv.org/abs/2511.06174 https://arxiv.org/abs/2401.03868 For a real world use case, you would
6.
by pankajdoharey 8mo ago
Boston dynamics is far behind plus the robots are so cheap , even their dog is cheaper than BD. I dont think their humanoid can even catch up to this price. I am sure US Army and for the chinese counterpart Chinese army will be their bigges
7.
by pankajdoharey 8mo ago
Not for the entire world, with their pricing it is only good for US market, for the rest of the world we have ChatGPT and cheaper Chinese models.
8.
by pankajdoharey 8mo ago
No, it’s actually the math of overwriting. Imagine you hiked down into a valley Task A and settled there. Then, you decide to climb a new mountain to find a different valley Task B. You successfully move to the new valley, but in doing so,
9.
by pankajdoharey 8mo ago
People will only build it by hand if there is a market for it. Otherwise it'll be mostly hobby software build for learning and entertainment (opensource). Businesses don't mind factory software Although the cost of developing soft
10.
by pankajdoharey 8mo ago
Not to forget we will need thousands of examples for the models to extract abilities the sample efficiency of these models is quite poor.
11.
by pankajdoharey 8mo ago
Continuous learningin current models will lead to catastrophic forgetting.
12.
by pankajdoharey 9mo ago
Could be but the central bulb as made on the coins is unlike a fennel https://en.wikipedia.org/wiki/Silphium , and since this imaginary recipe is a part of a comedy it is unlikely to be edible. If you look at other in
13.
by pankajdoharey 9mo ago
Or you can just vibe code Rectilinear app.
14.
by pankajdoharey 9mo ago
I think the ingredient Silphium described in this dish (Now considered extinct) could be Sea Holly (Eryngium spp). Its highly debated as many authors think it is some extinct variety of fennel, but from the images on the coins it doesnt l
15.
by pankajdoharey 9mo ago
Don’t worry big companies still can’t copy anything quickly, even with AI. Why? Because before they can ship a single feature, they’ll need to schedule 42 alignment meetings, debate AI-generated slide decks, and log their “strategic pivots”
16.
by pankajdoharey 9mo ago
WoW, i stand corrected. Though my actual point was that now we have Plutonium and it cant be wished away it cant be put in silos, even if we lock it up in silos sooner or later say in a few centuries when people will forget about it those s
17.
by pankajdoharey 9mo ago
Model router.
18.
by pankajdoharey 9mo ago
If they are real slime balls they can justify it by saying you see we use speculative decoding so we first use a smaller faster model model first and then then answer is enhanced by larger model blah blah ..... "FOr the best User exper
19.
by pankajdoharey 9mo ago
Its the router they are using, we surely are not getting what we select. Also after a few queries the intelligence drops. abruptly. and doesn't recover even after we start a new session, so there is another internal quota at play.
20.
by pankajdoharey 9mo ago
There should be a law that lawmakers can only be scientific people when it comes to science, i.e scientist's and engineers not humanities or arts majors. These people take decisions which are absolutely absurd. The entire western world
21.
by pankajdoharey 9mo ago
Claude is overrated premium piece of developer tech, i have produced equally good results from Gemini and Way better with GPT - medium. And GPT Medium is a really good model at assembling and debugging stuff than Claude. Claude hallucinates
22.
by pankajdoharey 9mo ago
I consider Apple to be practical, Also Apple will be running Gemini on its own hardware. This is better than Buying perplexity and running chinese model on which Perplexity runs. Training Models is a money on game, Its better to rent model
23.
by pankajdoharey 9mo ago
Google is far from dead we need grounding of truth, and from what i hear they already have perplexity like answer engine in testing internally.
24.
by pankajdoharey 10mo ago
In a world where Crabs are trying to rewrite everything in their favourite Crab Speak its nice to see the Reverse. I wonder if it coulkd be used to translate Rust compiler itself to C :-D
25.
by pankajdoharey 10mo ago
You are trying to make emacs?
26.
Show HN: Stateless TikToken and Unix-Dictionary GitHub URL Shortener(selfdotsend.com)
1 points by pankajdoharey 10mo ago|0 comments
27.
by pankajdoharey 10mo ago
Sure but trying to close source what has been opensource for a decade or trying to reduce features is very strange. I thought those people had higher standards.
28.
by pankajdoharey 10mo ago
Sad to see these same people were behind GlusterFS.
29.
by pankajdoharey 11mo ago
This is not a world model, this ise at best the reimplementation of the the NVIDIA prior art around NeRF / 3D Gaussian Splatting and monocular depth, wrapped in a nice product and workflow. What they’re actually shipping is an offline
30.
by pankajdoharey 11mo ago
Exactly. It sure is around the corner, because they are talking about AGI (Actually Getting Investments).

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