bhouston

Nice! I would recommend you support one of the opencli specs, like https://clidoc.dev so that it is fully discoverable with examples, etc.

I built something like this just last month, using a few of the same models, but I used ThreeJS's Three-Shading-Language abstraction to do it: https://three-llm.ben3d.ca/?model=qwen3.5-0.8b

I'm pretty sure human code review is already on the way out for > 90% of code generated outside of critical systems.

China has proved there is a massive grey market for gpus.

I wouldn't be surprised if the NSA is GPU constrained and it just isn't worth it to replicate all that infrastructure.

I am not sure the NSA has been turned inward at this point.

I was thinking more of the Alberta Separatist referendum (https://globalnews.ca/news/12069878/foreign-influence-watchd...) as well as against leftist politics in South America (https://www.theguardian.com/world/2026/sep/24/trump-brazil-e...)

Although there is evidence Israel was targeting US elections, including trying to harm Mamdani's chances: https://en.wikipedia.org/wiki/BlackCore_election_interferenc...

"Testing"? Sure, Jan.

They would have to be incompetent if they were not using them both for security penetration as well as social engineering / election meddling as everyone else is.

Nice to see. I’ve used vary to quite a bit of success on CloudFront back in the day.

I actually assumed when I started using Cloudflare that it did have vary support and it led to a serious bug in my sass app at the time.

I think the increased use of symbols was because both Europe and Canada are multilingual m, right?

Thank you for the response.

It is probably doable right not to push a risc-v design into that performance space.

Why not? It seems like this should sort of be the standard now? Or is it hard to make lean proofs in all fields?

I am not a mathematician but are most papers now accompanied by a lean proof?

Is there a central repository of lean proofs shared by mathematicians like an npm repository of JavaScript packages?

Does it all depend on a stupid is-odd package in the end?

> ...on the GitHub page with lost history.

> They just recycled the Bend1 repo for Bend2 even though it's a completely different language.

Why would you kill the source history of Bend1 completely if it has 20K stars? You can only do that if Bend1 has no users at all right?

Does that meant that Bend1 isn't actually successful in its own right but rather only as a marketing project?

I wasn't one of the suspicious people but I am now.

Which iPad Pro? Unfortunately with Apple's naming schema can refer to a ton of different models, some 11 years old.

The name for sentences constructed like this is not "contrarian", but "contrastive negative."

Source: https://gc.ai/blog/ai-writing-pattern-to-know-contrastive-ne...

I am very pro-AI and I was coding in the late 80s, although not in high school, I was in elementary at the time.

Given I started on an Apple IIe with a green screen and basic, and have since had to shift languages and techniques repeatedly over the decades, I have to be someone that embraces new technology if I want to stay relevant and productive.

This means that I will adopt things that make sense and AI does make sense.

You can try it directly online here: https://web3dsurvey.com/benchmark

I think that .sog and .spz fill different needs.

.SOG is a partitioned format with LOD support, thus it is designed for massive gs3d scenes. SPZ is has neither of those features, and thus is simpler. Given that ThreeJS itself doesn't yet support partitioning and LOD for its gs3d data - although it will come eventually - I figured that SPZ was a good fit for its initial capabilities. SPZ also has wider support right now compared to SOG.

I took it from here and I do see false transparency:

https://superspl.at/scene/56155c3f

There is even a link in the ThreeJS example preamble to this scene. I didn’t realize there was multiple lion splats of the same scene flying around.

Because the benchmarks are stilling going up fairly rapidly. There are rumors of RSI. We are not at the top definitely.

And then the following trend will be humanoids and similar and they are barely getting started.

It is an artifact of the model I believe. I did notice that as well.

Gaussian splat models are fairly imperfect on average.

Demo here:

https://threejs.org/examples/?q=gau#webgpu_gaussian_splat

> No, it's a high risk gamble.

Even in a recession I think the shift towards AI would just accelerate since it is usually cheaper than humans.

The real risk I feel if what if AI is too successful and there is a lack of human demand because of dropping wages/employment?

(Then I wonder if sentient robot demand will make up for it? Although I realize that veers into science fiction futures.)

It is a bit circular but it also a growing real market. NVIDIA is accelerating the market and also making money. It is a smart strategy on their part.

We are not at the top of this trend yet so I do not see this as over investment.

I remember the criticism Microsoft got for investing in Facebook/Meta that gave them a whooping $15B valuation and getting 1.7% in 2007. Not all deals will turn out that prescient but a few will and make up for any duds. This is a real market.

We are nowhere near a wall. Have you seen the progress of these models on benchmarks?

CEO trying to avoid government regulation in his industry says what?

The Houthis created a fake audio of a major Yemeni commander telling his troops to retreat which was subsequently amplified on Twitter/X, telegram, etc.

Apparently, this helped the Houthis advance quickly as the opposition forces were in disarray.

https://x.com/BashaReport/status/2097862335494795579

I think the key AI improvement is that these chips double the memory bandwidth and this has been the main limit for AI performance recently, became LLMs do not fit into cache.

I love the consistent CPU performance gains that Apple generates, always between between 15% to 30%.

I know this is the standard since the Apple got on the ARM train, but for over a decade from 2008 to 2020 in the Intel world, there was very few significant gains like this. The best you got was like 10% and it wasn't even a yearly release cadance.