sinab

The standard makes sense: models work much better when devices expose standardized, machine-readable interfaces.

But as far as I can tell, this technical "standard" isn't actually public yet (you have to apply for access to even see or implement it.) Anthropic says they plan to open source it later.

Quite a departure from the way foundational hardware standards like USB and CAN were developed. You shouldn't need permission to read a standard.

Why should universities prepare founders to start companies? The essay assumes that premise.

I didn't claim that I could determine whether AI wrote the prose, or even parts of it. Nor am I trying to discourage folks from writing (actually the opposite, I even thanked Ben for the demo!).

What I observed are overused, and recognizable, stylistic patterns that have become quite common in LLM generated prose. In this article alone there are three "here's the X" rhetorical signposts, well over a dozen neatly constructed reversals/antitheses ("not X but Y," "solved X and created Y"), repeated setup->complication->punchline paragraph structures, rhetorical questions used as transitions, and a high density of anthropomorphized technical metaphors.

None of these alone prove AI authorship. In fact their existence (and the authors own words!) are exactly the point I am making: his validateHypotheticalHooks linter flags "formulaic AI-tell openers," and he describes catching himself writing one because he'd "absorbed the cadence from reading too much generated text."

Thank you for the demo! I like the concept. However, I personally find that the writing style you've designed for reads very strongly as AI-generated. For example, opening a section with phrases like "Here's the irony: after automating everything up to this point," or "Turning emoji into images solved the missing-font problem and created a subtler one."

These are both strong tells of AI-generated prose, though I find it surprisingly difficult to articulate exactly why. It makes me wonder whether your style has evolved to sound more like AI-generated prose, or whether AI-generated prose has evolved to sound more like you!

Yes, and when the system is not auditable it makes it easy for biases to propagate!

This paper argues for machine-readable science and demonstrates its utility with a journal-scale comparison of AI and human peer review.

The app, "SnackPass", faces a similar issue. Coffee shops spend time fulfilling mobile orders, placed in advance to avoid waiting in line, resulting in a delay for in-person orders.

While I was unable to view the entire article (paywalled), I suspect that some kind of priority queue that weights an order's priority by the user's distance to the store may be useful to solve the waiting issue.

Thank you for sharing. This feels like a modern day version of https://letmegooglethat.com/.

I got an error when passing a prompt with about 20k tokens to the Llama 4 Scout model on groq (despite Llama 4 supporting up to 10M token context). groq responds with a POST https://api.groq.com/openai/v1/chat/completions 413 (Payload Too Large) error.

Is there some technical limitation on the context window size with LPUs or is this a temporary stop-gap measure to avoid overloading groq's resources? Or something else?

On the topic of low-noise bikes, why do some riders insist on having a loud freewheel? The clicking noise is unbearable in my opinion.

Source: https://bicycles.stackexchange.com/questions/4606/what-cause....

Where are health providers hosting these data? Could you give an example? Thank you.

This is exciting news. Currently, a free online “Photoshop” alternative is https://www.photopea.com/

The concern of “shaming” is not a justified ethical reason.

The data availability statement in this article undermines its entire premise.

> We did not publish our raw data along with the manuscript because it could be understood that we are publicly shaming authors who did not want to share their data. As for the raw data that were received during this study, we informed our study participants that those raw data will be deleted after being examined and that all data and communication will be treated with strict confidence.

Super cool. Thanks for sharing. I would it be possible to hash the content in such a way that is addressable by a memorable phrase?

The "Get a demo" button doesn't seem to work.

Google Chrome Version 98.0.4758.80 (Official Build) (x86_64)

It occurred to me, after reading the comments, how strange it is to then write out "huh" in text-based conversation.

For which kinds of problems are matlab and python unworkable?

Interesting article on the history of Perl for bioinformatics.

As someone who is currently a bioinformatics PhD student, Perl has become the vinyl of programming languages. While some older folks script with Perl, most packages I’ve seen published recently use either R, python, c++, and more recently, rust.

Awesome project, thank you for sharing. What protocol / method is the controller using to communicate with the browser?

This essay is beautifully written. I particularly appreciate the vivid detail the author used to describe their childhood memories.

The last paragraph caught me off-guard with its shift in tone and focus. The narrative makes the point that while memories can be strong, they often fail to remind us of all of the details. This is certainly germane to how the justice system operates; I just feel that its relevance was rushed in at the end.

At first glance I thought the balls were in some way fashioned together. Turns out its just friction! So cool.

This isn't the first time that JRE episodes have been removed from Spotify:

[April 13, 2021] https://www.businessinsider.com/joe-rogan-experience-podcast...

I wonder if the problems with the data would have been discovered sooner if data sharing been enforced. It's clear that the reason the article was retracted by the editor-in-chief was because of the lack of data:

It appears that sequences were neither uploaded to Genbank nor to the BOLD system at the time of the study. It does appear that sequences related to this article have been uploaded to Genbank in September 2020, but as this happened six years after publication and no voucher information is presented in the article, post-publication review was unable to confirm whether these sequences were indeed derived from the research described in this article.

https://link.springer.com/article/10.1007%2Fs10531-021-02316...

This is great, thank you for creating it! I just added it to my $PATH.

I share the same sentiment. Something I've realized recently is that people who complain about car-centrism (myself) often fail to identify ways to start solving these problems. To remedy this, I've been thinking of writing a set of practical posts, sort of a how-to, in which I explore ways to solve these problems. Is that something that would interest you?

What I hate about "car discourse" like this is the apparent blindness to public transportation. Trains, bikes, buses, and street cars solve almost every problem that the author complains about.

The only outstanding problem, however, is that American infrastructure has been deliberately designed solely around the car. Those who suggest alternative modes of public transportation are immediately written off as "impractical". Discourse ought to be centered around democratizing and diversifying the ways people can get around, not on how one ought to "make dumb cars".

The article demonstrates a multi-axis base for dampening the force imparted by S-waves, generated by Earthquakes, to artwork. But earthquakes also generate longitudinal waves (P-waves). I wonder whether P-waves are strong enough to damage artwork and whether a system should also be put in place to protect against them.

The GitHub repo made me lol: https://github.com/SaraVieira/make-frontend-shit-again

I read this essay with interest as I work at the intersection of biology and engineering; I was disappointed. The essay fails to identify low-hanging fruit in automating biology and fails to explain how their company (Transistor Bio) is "picking" those low-hanging fruit. In retrospect it reads more like a poorly argued marketing pitch than an exposition on interesting and achievable problems in biology automation.

The company's website also leaves much to be desired; though they have reinvented the liquid handling robot [1].

[1] https://publish.obsidian.md/serve?url=transistor.bio/busines...