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This reminds of a research that mammals take same amount of time to pee and it was 40 something seconds.

The art on header of 8bitsmith.com looks bad. More than art, the animation is very janky.

Thanks for your opinion

There was this research where faces were almost perfectly reconstructed from money's brain signals. How were they able to achieve such perfect recreation from monkey but not even close from human brain.

https://www.bbc.co.uk/news/science-environment-40131242


So, the question I have is, could the reassemble the data from a person who has face blindness?

From my rather weak understanding on the subject, humans have a fast path for facial recognition over many other mammals. Some in some people this is otherwise broken or has been co-opted to fast recognize something else.


> How were they able to achieve such perfect recreation from monkey

Because the macaque study didn't decode faces from fMRI. They first used fMRI to locate the face patches, then used tungsten microelectrodes for single-unit electrophysiology to record spikes from individual face-selective neurons in ML/MF and AM. [0]

Single-unit recordings capture individual spike patterns at a resolution fMRI, which averages across hundreds of thousands of neurons per voxel, simply cannot provide.

[0] https://pmc.ncbi.nlm.nih.gov/articles/PMC8088389


Gemini already has 1M or 2M context window right?

Yes, 1M context window since Gemini 1.5 Pro first previewed in February 2024.

Gemini 1.5 Pro actually has 2M!

No other model from a major lab has matched it since afaik.

Edit: err, I see in the comment below mine that Grok has 2M as well. Had no idea!


I only want to see how it performs on the Bullshit-benchmark https://petergpt.github.io/bullshit-benchmark/viewer/index.v...

GPT is not even close yo Claude in terms of responding to BS.


My current hunch is that that benchmark captures most of the relevant gap between Anthropic and the rest. “Can’t distinguish truth from fiction” has long been one of the deeper complaints about LLMs, and the bullshit benchmark seems like a clever approach to testing at least some of that.

Hi, I love the pixelated look and feel so much and hadn't seen runtime programmable brushes before. Can you share some interesting brush codes that are not already there in the app?

It will be awesome if these were native apps instead of JavaScript apps. It's not mentioned anywhere explicitly that these are native.

This could be the reason https://petergpt.github.io/bullshit-benchmark/viewer/index.v... Claude bullshits the least of all models. ChatGPT does it more than half the time.

I'm surprised that Opus 4.5 is better than Opus 4.6 and Sonnet 4.6 is even better than Opus 4.5 (and 4.6). Shouldn't Opus 4.6 be the best of the Claude models?

I can’t really tell the difference between the two models for the things I do any more.

That's a nice benchmark + website and wow ChatGPT scores worse than I thought.

That explains why I intrinsically "trust" Sonnet 4.6 the most.

Didn't know more people are doing this. I am also using a used Pixel 4a which I got from eBay. Still has good battery. I don't see any reason to upgrade any time soon.

Speaking of battery, veeeeery soon phones will have mandated replaceable batteries in the EU. I'm just hoping my current moto (a $99 job perfectly adequate for absolutely everything I do) survives until then.

Aside: I've noticed over the years that phones die in one of the following ways: - too fast charging (battery dies, charge controller dies) - usb port dies - screen broken - all sorts of falls

A lether folio case, gorilla glass, and a Qi charging adapter solve all of those problems (the charging adapter also limits the current by virtue of being inefficient). It has a magnetic connector (it's a simple two-pin job and it doesn't have any issues) - in the rare occasion I want to charge up real quick, I can still hook up directly via usb c, and meanwhile the port is stuffed with the converter's plug which prevents it from accumulating dirt and fluff.

I'm glad to say that even despite many falls, some directly onto the screen, the phone itself still works very well, even if the case and glass protector are obviously ragged.

I hope once unlockable Moto's come around I'll be able to keep that one for a long while as well.


When you say replaceable, do you mean repairable or swappable? Like, does it need to be done without tools (probably takes <1 minute) or would it take me 2 hours with a load of tools (no change from today) just that there's a legal requirement for them to be commercially available?

Fwiw, besides people that crack the screen I have not seen any of the failures you've mentioned. The only phone I saw someone replace, for reasons other than software support, was myself because the gnss chip was cooked after 3 years (would track me perfectly, like if I step to the right it would notice, but with an offset of hundreds of metres so I'm in another town). All other phones I've owned are still perfectly functioning (the oldest Android phone I have, 2012, has a more reliable battery than my daily driver!), I don't use any case or screen protector. They're just software-wise obsolete because no updates and developers require the newer android apis


well, it isn't receiving security updates https://grapheneos.org/faq#device-support

imo the RAM bloat/overly aggressive OS. on a similar aged device without zswap I couldn't run more than one maybe two things without the OS killing everything in the background. I think it was better before I got stuck updating to 15

Security patches.

and support for hw memory tagging :p

Imagine downvoting “security patches” on Hacker News.

I can right click and inspect HTML. I was thinking it will all be rendered on a single canvas. It's not. All the window elements like buttons, title bars etc are html divs. This is awesome.

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