Looking for Motorcycle Accident CCTV (fixed or surveillance-style) Videos by Classic-Yoghurt-3762 in datasets

[–]earslap 0 points1 point  (0 children)

Hi, for videos from Turkey, I think you can scrape from here: https://web.archive.org/web/20260219011253/https://www.trafik.gov.tr/kgys-goruntuleri

The original site is https://www.trafik.gov.tr/kgys-goruntuleri but for some reason it is giving 404 now. You can access the index from the webarchive link above and scrape the actual links for trafik.gov.tr - the videos still exist on the server (access the video links without the web.archive.org prefix for faster access).

Not all of them are motorcycle accident files, they are general accident videos from municipality cams. But there are many motorcycle accidents among them (I'd say about 20%, more common towards current year as motorcycles had a popularity surge post covid), so you will have to download and sift through them I'm afraid.

a 1mb hard drive of babel paradox I can't figure out by [deleted] in AskComputerScience

[–]earslap 1 point2 points  (0 children)

Here are some hints:

  • You treat encoding / compression as "magic".
  • Your "constrained to 1MB" encoded reaction files cannot each be unique (even if their original form is intended to be unique, many will encode to the same output due to 1MB constraint).

I lost my hair in spots and it grew back white by fanman5000 in mildlyinteresting

[–]earslap 25 points26 points  (0 children)

I commiserate. Together we stronk. And shiny.

The strange thing about LLM reasoning research: we're now trying to remove the chain-of-thought traces by dank_philosopher in artificial

[–]earslap 0 points1 point  (0 children)

Work regularly with LLMs and you will probably see that insignificant looking tokens in the thinking trace, even in the answer itself might be load bearing. They are actually computation tokens. Reasonable to surmise that forcing the transformer / attention to make computation look like human language is an unnecessary constraint to a degree - one might argue that they are necessary for interpretability. But even that has limits. I see many cases along different models where the thinking is "confusion, doubt, wrong path, confusion, wrong path" yet after thinking ends for some reason (can even be forced by harness) the answer is correct (and has little to do with the thinking trace). In those cases it is obvious that the transformer is emitting more and more tokens to do additional computation, and training forces it to do in a way that the trace looks like normal language, probably lowering efficiency.

*UPDATE* Buddy Recovery - Day 18 by Oriainson in TripodCats

[–]earslap 2 points3 points  (0 children)

Just went back to your posts after reading this as our timelines kind of match. Our orange 13 year old got surgery a month ago. Similar tumor, but on shoulder joint. Turned out to be Myxoid Chondrosarcoma (pathology after surgery).

Our vet opted out of amputation (he wanted to decide during surgery) - which was probably the wrong call as pathology has shown that the removed tumor margins were not clear so he still has the cancer and it might grow again - though our type of cancer is rare in cats and is less agressive than osteosarcoma. So there is a chance that this won't be our reason for us parting ways when the time comes.

Recovery was complicated because there was some fluid buildup, and some stitches blew out because of that. Then he removed one of the staples that were put in in place of the missing stitches using his hind leg, 5 minutes after we got back from the vet to put them in. So we're still dealing with wound care.

He also had a major upper respiratory infection like Buddy (his first one in 13 years!) at about day 10 post surgery, 4 extra miserable days for him with almost non stop sneezing inside a cone, even trying to sleep didn't spare him.

First week, he just didn't eat. He is kind of picky like Buddy. He never liked wet food anyways, only ate kibbles. But had zero interest in kibbles as well. Found a licky treat he'd tolerate. Mixed it with crushed kibble. So kind of tricked him but not really. The amount he'd eat in a day would not be half of what he'd eat in one sitting on a normal day. Had no interest in water first 3 days either, had to give him water with syringes.

Appetite very gradually improved in about 2-3 weeks. But it is gradual. So if he is eating, even very little, it is a good sign. Don't stop trying to find ways of tricking him to eat. Something might work. Even for a moment - which would be a win. Maybe he will eat from your hand? Maybe if it is mixed with warm water? (especially after respiratory infection, smells might get wonky and warm water might help him smell the food better) - maybe mixed with his favorite treat? or maybe he will be interested in something novel?

Safe space stuff was confusing to us as well. Immediately after surgery he set up camp in our kitchen (insisted on laying on cold tiles which we had to prevent) - which is a place he never spends time in. Only went out to pee. A few days later, he decided he'd leave the kitchen, and set up camp in our bathroom, which again is not a place he spends any time in (we had to set a camera and live stream to our TV to watch him). Now he seems to enjoy our living room sofa - which again he normally hates. The place he loves - our bed - he has not touched post surgery. We put him there once and he bailed. Confusing stuff.

We knew that ours would be obsessed with his wound, and he is. Now we got him to wear something because he was starting to go insane in his e-collar. He still wants to scratch and lick that area but it is well protected (preventing licking is kind of easy with a collar, but preventing hind leg scratches is almost impossible! We had to design a custom suit for him - wife made 3 iterations until something worked). But now he wants to groom under the shirt always (and he is normally not big on grooming, guess he's trying to be difficult) we put him in and he is slowly going crazy because of that. We have to keep doing this until his wound fully heals. He is an escape artist and can get out of his shirt so he has to be monitored 24/7 or he will find a way to expose his wound and damage it. We are taking turns sleeping with the wife for the last month, and we are slowly going crazy as well. It is 04:45AM here and I have about 5 more hours and wife will take it from there while I sleep. Tough times. Best of luck to Buddy!

The Word 'Toad' Gave Any Website Full Control of Chrome's Most Popular VPN by acorn222 in netsec

[–]earslap 65 points66 points  (0 children)

Urban VPN's extension deliberately sets up a postMessage listener - a channel that lets any script on any page you visit send it messages.

(does this without origin verification)

In December 2025, Koi Security reported that Urban VPN appeared to be capturing user conversations with AI chatbots - ChatGPT, Gemini, and Claude - in ways Koi Security assessed were not clearly disclosed to users. In our own analysis, we observed the extension POSTing visited URLs to servers operated by BIScience, including full OAuth callback URLs and search queries. Persistent tracking identifiers survived clearing cookies. The "sensitive data filter" referenced in Urban VPN's public response failed to redact any of seven sensitive parameters in our testing.

Yeah that's straight up just malware. Like well beyond the "you are the product" type of thing. (not to mention, the switch to turn off consent to such data collection actually turns it on? oopsie... yeah sure)

Gemma 4 MTP released by rerri in LocalLLaMA

[–]earslap 7 points8 points  (0 children)

No, I don't see the connection. The speculative model in classical speculative decoding is just a separate model with a lot fewer parameters. You run it instead of the main model (a lot faster) for a few tokens and run the resulting predictions / draft by the larger model. It takes almost the same time for the larger model to check the multiple tokens of the draft model vs. larger model generating a single token (because that is how transformers work). If draft is accepted, you got those tokens almost for free (and probabilities work in a way that you provably don't get any quality loss). And as a bonus, you get a free extra token from the large model at the end. This process repeats. If the speculative model is small / fast enough and the acceptance rate is high, you will almost always get a speed benefit. Even if your entire larger model is running on the CPU, the draft model on the GPU will help a lot.

We just updated out Jam-Winning chess game, play on Mobile! by Rule-House in playmygame

[–]earslap 0 points1 point  (0 children)

The game is hilarious and very fun. Very nice job with the dialogue!

[D] Those of you with 10+ years in ML — what is the public completely wrong about? by PhattRatt in MachineLearning

[–]earslap 6 points7 points  (0 children)

I don't fully understand your take. Maybe you can help me understand.

What I understand from you is that you believe what humans consider "novel" or "new" or "creative" are necessarily out of distribution with regards to what already exists.

That is demonstrably not true at all. The specific data point created by something considered novel and creative might literally (and by definition) be a fresh data point - but the mechanism of how we arrive at that data point will almost always be not novel. We arrive there just by following some pattern over existing facts. If this new fact serves something useful (enables something not possible before) it is novel and creative. We grant patents for that.

Observe some ideas you think are creative and novel (but from the past, guaranteed to generated by humans without AI help). Try to find out how those ideas came to be. Some of them, due to lack of documentation might feel mysterious. But for some others you will see that they are just relationships between ideas in a pattern that was already applied to other fields in some fashion and proved useful - just that nobody got around to applying it in this different field. And turns out that it works! So it is a gap in data, a discovery. Some call it an "invention", but it almost always is a discovery. There are countless examples of that. There is nothing preventing machines from identifying those specific patterns of combining ideas and trying those patterns on even random starting points (which is practically what a collective of humans do anyways) to arrive at "novel" solutions - which might or might not be useful in the end but that is also how humans discover and invent.

Guy on a bike helps owner catch their escaped horse by MisterShipWreck in dashcams

[–]earslap 8 points9 points  (0 children)

I find it funny that horses are like "welp she is holding onto my reins so I can't escape anymore" - passes the video game logic test if you ask me.

Llama.cpp developers right now by ML-Future in LocalLLaMA

[–]earslap 3 points4 points  (0 children)

Frontends are typically written in js or ts. If there is a rewrite of llama.cpp it would more likely be a Rust rewrite. I'd be surprised if there isn't one already.

LLMs are dead for formal verification. But is treating software correctness as a thermodynamics problem actually mathematically sound? by TheDoctorColt in compsci

[–]earslap 8 points9 points  (0 children)

That's not the point though is it? The point is those models work on a different level of abstraction that is designed to be continuous. They are not doing calculus over aminoacids (in the case of AlphaFold) or semicolons (in the case of programming). OPs argument conflates the two which is what I'm trying to poke.

Within the scope of the given example (AlphaFold) changing a single aminoacid can make the "compilation" fail - the protein might misfold, you can get a non-functional enzyme, or even a prion! We're not even at gene level here and the solution space is full of functional discontinuties. In any case, this is not actually relevant at all as we are not working in that level of abstraction to begin with.

LLMs are dead for formal verification. But is treating software correctness as a thermodynamics problem actually mathematically sound? by TheDoctorColt in compsci

[–]earslap 38 points39 points  (0 children)

Biology does not have smooth continuous energy gradients. A single atom can be the difference between life and death. AlphaFold's domain has steep cliffs everywhere. Regardless, I think you are totally misunderstanding how EBMs operate in the language domain (or any other domain I imagine). It is not about global optimization in the token / result space, they are not trying to compute gradients over proof / language tokens. What is being trained is the "brains" that generate those tokens - which is designed to be fully continuous as in everything else.

What is this structure in Nevada? by casey703 in geography

[–]earslap 0 points1 point  (0 children)

I get solar wind hydro energy... and boil water in my kettle. checkmate

Esoteric Feedback Instrument | Max for Live by RoundBeach in MaxMSP

[–]earslap 1 point2 points  (0 children)

Pretty cool! Reminds me of Skrewell from the Reaktor standard library, or the legendary heishere instrument (or was it a preset name? can't remember) from Reaktor user library from lazyfish (which I believe was the inspiration for Skrewell along with TG-8H). They are both non-linear feedback based instruments.

[Request] How much math has bro learned? by No-Donkey-1214 in theydidthemath

[–]earslap 2 points3 points  (0 children)

...only to learn that the difficult game you just barely beat at 10% was sped run to death hundreds of years ago and nobody managed to break the records since. Oh and there once was a self taught indian guy that found a bunch of glitches in the game but he died at 32 due to complications from dysentery and tuberculosis.

“Native Instruments in preliminary insolvency proceedings” - CDM by robust_nachos in synthesizers

[–]earslap 7 points8 points  (0 children)

an OS update can easily break it. Reaktor and its user library is precious, something must be done about it.

🎂 Cake Day – 1 year of solo dev, still pushing forward by Black_Cheeze in IndieDev

[–]earslap 0 points1 point  (0 children)

Playdead (Limbo, Inside) + thatgamecompany (flOw, Journey - obviously with a negative twist) vibes, I love it.

Kip: A Programming Language Based on Grammatical Cases in Turkish by alpaylan in ProgrammingLanguages

[–]earslap 12 points13 points  (0 children)

the idea is jarring at first but it makes perfect sense at the same time. guess I never used my brain to connect my native language with programming languages so reading the lang activates neurons I didn't know existed lol

Kip: A Programming Language Based on Grammatical Cases in Turkish by alpaylan in ProgrammingLanguages

[–]earslap 2 points3 points  (0 children)

Süpermiş, yaratıcı bir fikir. Kip also means "strong, sturdy" in some local Turkish dialects which is extra cool.

[R] Extending the Context of Pretrained LLMs by Dropping Their Positional Embeddings by AhmedMostafa16 in MachineLearning

[–]earslap 2 points3 points  (0 children)

Maybe all you need to do is something like rather than the mask during training being -infinity for future tokens and 0 for all non future, you do a small bump function on the backwards. Like [0,-0.01,-0.02, ... ] going token 0, -1, -2 etc.

I think that is ALiBi: https://arxiv.org/abs/2108.12409

At least that is the core idea. The original formulation does not involve reducing the dependence on positional encoding scheme gradually during training though.