WoodenChair

Joined 13 years ago

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8,915
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1,597
Member since
Aug 31
- https://davekopec.com

- https://classicproblems.com

- https://computersciencefromscratch.com

- https://x.com/davekopec

- https://github.com/davecom

I'm a computer science professor at a teaching college with a background in software development. I also build indie apps, have a few entrepreneurial ventures, write technical books, and co-host the podcast Business Books & Co. My latest programming book is "Computer Science from Scratch: Building Interpreters, Art, Emulators and ML in Python" with No Starch Press:

https://nostarch.com/computer-science-from-scratch

If you want to find out about my upcoming book, media, or software projects then join my very low volume newsletter:

https://buttondown.email/kopec

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Recent submissions

Comment · 1 day ago
I guess I don't understand the point of this. Of course a set of digital logic circuits can be reduced to a set of weights. Am I missing something?
Comment · 5 days ago
This can be interpreted as a form of soft layoffs, or it can also be interpreted as an attempt to change their labor culture. Microsoft was notorious for stacked ranking, where supposedly "low performers" were regularly culled. If you offer low performers a smooth way out, it's another form of culling without the harsh push.
Comment · 16 days ago
Thanks for coming on to "take the heat." Do you have any internal tools for auditing the codebase/model outputs to see how much direct overlap there is with the inspiration?

As a human who is deeply familiar with the codebase, what percentage of Scion's codebase would you estimate is directly inspired by Mononoke?

Comment · 1 month ago
I thought this was going to be a post about learning robotics.

It seems more like a post about hooking up an LLM to a pre-made robotic arm.

While that's interesting, I wouldn't have labeled the post "my robotics crash course."

Unfortunately, I think this is in some sense another example of LLMs substituting for actual learning. While I'm sure the author is learning something about robotics from doing these experiments, I doubt it's as much as he would have gotten from say reading a couple chapters of an introductory robotics for dummies book.

Comment · 1 month ago
Just a note that this is not novel. Automatic analysis of chess games built on traditional engines has existed for a long time. Without using stockfish as a sidekick, this wouldn’t be interesting because of the poor play of LLMs, however having an LLM enhance the commentary is interesting and I suspect has already been done by chess.com for years.
Comment · 1 month ago
One of the researchers was using the product. They train on your private interactions unless you explicitly opt out in the settings.
Comment · 1 month ago
> Absolutely not. There were plenty already on the market. Was it the first one to have a name, rather than some crappy codename? Maybe. But mostly it was the polished version of an existing product.

Please tell us about the mass market, affordable, WiFi routers before AirPort. Links please. AirPort came out in July, 1999. Apple did deep negotiations with Lucent to get the price of the equipment down. And they also innovated with an incredibly easy to use software interface that set the standard for WiFi products to this day. I don't know what products you're talking about that came before it that similarly cost $100 for client and $300 for router.

And if you can't see why great product and user interface design can be a type of big innovation (re iMac, iPod) then you're blind.

Comment · 1 month ago
> the iMac was a refined workstation, the AirPort was a refined WiFi router, the Time Machine was a refined NAS, the iPod was a refined MP3 player...

The word "refined" is doing a lot of work here. Just a few examples:

- The iMac had a design unlike any desktop computer before it.

- While a couple products had come before it, AirPort was the first affordable, mass-market consumer Wi-Fi router.

- The iPod was the first MP3 player to incorporate the then brand new 1.8" Toshiba hard drives that enabled it to have for the time incredible capacity for the package size. And Apple innovated with the click-wheel user interface.

All three of these products most people would see as much more than "refinements" but actually big innovations compared to what was already available in the market.

Comment · 3 months ago
Yes I stopped reading there after checking the source myself and seeing the same discrepancy. I had also noticed earlier in the article she wrote, "This finding was great news for Napoleon. The French were losing money, and perhaps more alarmingly, their reputation, exporting wine to the British – the wine would “spontaneously” go bad during shipping."

Pasteur was born after Napoleon was exiled. Maybe she is referring to Napoleon III, but then it's misleading to just write "Napoleon." Two factual mistakes in the first couple pages and I can't trust the rest. Especially on a topic I know little about so I can't be discerning regarding.

Comment · 3 months ago
> Read the Tape gives players the same 5 S&P500 stock charts per day to predict. You select low, medium or high confidence and then call the chart UP or DOWN. It's a 1d chart which then resolves over 5 days. Alpha is scored against the Monkey Index, a basket of 11 random coin flips at low confidence which provides a tangible win/lose condition.

Your description here and on the website is not clear to me about what I am predicting. Am I predicting whether the stock is going to continue to go up the same day? Is the chart of one day and I am predicting whether it will go up or down the next day? In my opinion, you need to get the explanation of what I'm looking at and the directions of what I am predicting down to one clear sentence.

Comment · 3 months ago
> These debts mean nothing if the US government actually views AI technology as being on par with the Manhattan project. They'll just bail them out or nationalise them.

According to Wikipedia, the Manhattan project only cost $28 billion in 2024 dollars. That's a completely different order of magnitude compared to what we're talking about here. I imagine the size of the investment here would even be hard for the US government to swallow.

Comment · 4 months ago
Thanks, much appreciated.
Comment · 4 months ago
Comment · 4 months ago
Comment · 4 months ago
> What's stopping anyone else from using AI and eat into Oracle's market?

Open source databases have already been doing this for decades. You can’t just clone its products and expect to eliminate it. Oracle is driven by a strong sales culture and ruthless business strategy.

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