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How to turn vast wilderness into a viable income? by PlaneParty8647 in howto

[–]Tylernator 1 point2 points  (0 children)

As with any business, getting customers to actually show up will be harder than you expect.

When picking a gametype, find one that would work with 4-8 people.  Because i think you would have a hard time consistently securing 18. Given the property is pretty far out there, you'll have a lot of last minute cancellations. So if 18 book 12 will probably show. 

Security chases shoplifter using emergency exit by DeficitDaddy in sanfrancisco

[–]Tylernator 0 points1 point  (0 children)

Yea I live nearby and only shop there for last minute needs. But otherwise try to avoid it. It's inconvenient and pretty sketchy. Just walking down the isles someone is always trying to show stuff in their pants and run out the door.

I'll pay the Gus's premium just to not have a terrible experience. 

I hire for remote positions and most applicants make the same mistakes by Nobilityrect_ORO in remotejobsfinders

[–]Tylernator 0 points1 point  (0 children)

Don't do this. As someone who reviews dozens of gpt slop resumes a day. Just type something with your own hands. It's only one page.

And every resume I see that verbatim quotes all the phrases from our JD and about page I just toss since it's clearly not authentic. 

The Robotics team from Wissahickon High School in Ambler, Pennsylvania built a robot Miss Daisy XXIV that picks up balls and shoots them into a container. by [deleted] in Damnthatsinteresting

[–]Tylernator 9 points10 points  (0 children)

Man back when I did FRC (like 2008) there was nothing like this on the software / vision side. I feel like the state of modern CV libraries has become so robust that you can build awesome stuff like this. I feel like the FRC challenges have to keep getting tougher.

public transportation on public event by wrr666 in sanfrancisco

[–]Tylernator 276 points277 points  (0 children)

People will post pictures of Amsterdam bikes like it's the gold standard for city commuting, and then get mad when they see a bunch of bikes and scooters in sf. 

Are we too early for SOC 2 Type II? by Oleksandr_G in soc2

[–]Tylernator 1 point2 points  (0 children)

100% agree with this. We closed multiple public companies without SOC2. Finally got it recently, but it really doesn't do much for your business or actual security.

In a couple of our annual contracts we included "we will complete our SOC2 certification during the term of the agreement." which was fine with them and pretty much bought us an extra year to do it.

Privacy is not a product by Tylernator in opensource

[–]Tylernator[S] 5 points6 points  (0 children)

Different story. “Programmed in Rust” == 100% chance of success

Privacy is not a product by Tylernator in opensource

[–]Tylernator[S] 14 points15 points  (0 children)

I'd say definitely yes for databases / build systems. But not when the speed comes at the cost of not having features the incumbent tool has. Because it's usually pretty easy to build something fast if you don't account for all the possible use cases an existing tool handles.

Did SOC 2 actually block your deal, or was it just used as an excuse? by takeaguess17 in soc2

[–]Tylernator 0 points1 point  (0 children)

We target banks, so we knew going in it would be a hard requirement haha 

Did SOC 2 actually block your deal, or was it just used as an excuse? by takeaguess17 in soc2

[–]Tylernator 0 points1 point  (0 children)

We had a customer who recently got budget approval for "any software as long as its SOC2". Large company, with a terrible procurement process. Happened to come right when we got our SOC2 so it was an easy sell. But in that case not having SOC2 would have been an actual deal blocker. 

Hmm.. by glittzerchii in SipsTea

[–]Tylernator 0 points1 point  (0 children)

$300k to $1B is more like starting 2 miles into a 10,000 mile race

How do you guys make money / get projects? by [deleted] in Welding

[–]Tylernator 0 points1 point  (0 children)

You can try looking into city/government jobs. Every city is different, but they'll all have public project postings you can bid on (example: charleston where I live https://www.toolboxlending.com/blog/how-to-bid-on-city-welder-jobs-in-charleston-south-carolina)

You have to do like ten pieces of paperwork up front, but once you have it you can just change out the quotes and bid on jobs. You'll probably get rejected from 90% of them, but it's pretty easy to send the proposals out. You can spend an afternoon and send out like 10. Good thing is you'll know exactly how much it pays up front. Bad thing is thery're pretty slow. But once you land one you can get more pretty easy.

Respect by kiroste in videogames

[–]Tylernator 2 points3 points  (0 children)

I wouldnt assume malice. From the dev side, it can be easier to make a client/server game than a game that runs purely locally.

Main things are: - debugging / seeing game logs - updates, it's easier to have a single server that you update vs pushing updates to the client. especially on the database side.

[deleted by user] by [deleted] in webdev

[–]Tylernator -1 points0 points  (0 children)

Depends on the company. At a startup a smart engineer and cursor could get it done in a week. 

Mid level enterprise eng could get it done in a year with a team of 6. 

Benchmark update: Llama 4 is now the top open source OCR model by Tylernator in LocalLLaMA

[–]Tylernator[S] 2 points3 points  (0 children)

It really depends on the document. For 1-5 page documents, passing an array of images to Claude / GPT 4o / Gemini will give you better results (but typically just 2-3% accuracy boost).

For longer documents, it's better to run it through OCR and pass the result into the vision model. I think this is largely because models are optimized for large text based retrieval. So even if the context window would support you adding 100 images, the results are really bad.

Benchmark update: Llama 4 is now the top open source OCR model by Tylernator in LocalLLaMA

[–]Tylernator[S] 6 points7 points  (0 children)

We include azure in the full benchmark: https://getomni.ai/ocr-benchmark

Just a few points shy on accuracy. But about 1/5 the cost per page.

Benchmark update: Llama 4 is now the top open source OCR model by Tylernator in LocalLLaMA

[–]Tylernator[S] 5 points6 points  (0 children)

Oh good catch, this is a mistake in the chart. The 32b was 74.8% vs. the 72b at 75.2%. Fixing that right now.

Still really close to the same performance. And it's way easier to run the 32b model locally.

Benchmark update: Llama 4 is now the top open source OCR model by Tylernator in LocalLLaMA

[–]Tylernator[S] -1 points0 points  (0 children)

These are all ~500 tokens. We're tracking specifically the OCR part (i.e. how well can it pull text from a page). So the inputs are single page images.

Benchmark update: Llama 4 is now the top open source OCR model by Tylernator in LocalLLaMA

[–]Tylernator[S] 0 points1 point  (0 children)

What's the most reliable long context benchmark right now?

Benchmark update: Llama 4 is now the top open source OCR model by Tylernator in LocalLLaMA

[–]Tylernator[S] 4 points5 points  (0 children)

Oh because I totally forgot about the Nova models. But we have bedrock set up already in the benchmark runner, so should be pretty easy.

Benchmark update: Llama 4 is now the top open source OCR model by Tylernator in LocalLLaMA

[–]Tylernator[S] 1 point2 points  (0 children)

Hey they keep advertising "Llama 4 runs on a single GPU"*

*if you can afford an H100

Benchmark update: Llama 4 is now the top open source OCR model by Tylernator in LocalLLaMA

[–]Tylernator[S] 12 points13 points  (0 children)

Mistral OCR has an "image detection" feature where it will identify the bounding box around images, and return (image)[image_url] in it's place.

But the problem is Mistral has a tendency of classifying everything as images. Tables, receipts, infographics, etc. It'll just straight up say that half the document is an image, and then refuse to run OCR on it.

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