Hacker News: jononor

New comment by jononor in "Mistral raises €3B"

jononor — Tue, 08 Sep 2026 15:54:27 +0000

That is not great. But it is still better than other continents?

New comment by jononor in "Qwen3.8-Flash-Next"

jononor — Wed, 26 Aug 2026 18:39:07 +0000

If you have good feedback signals, like tests/benchmarks/etc, then it is potentially better to do multiple turns where model uses that to adjust code. Which might not need as smart a model.

New comment by jononor in "Qwen3.8-Flash-Next"

jononor — Wed, 26 Aug 2026 18:34:21 +0000

If Simon would pitch for example PCBWay that and I am pretty sure they will sponsor it (assuming their logo stays). They can do laser engraved versions also ;)

New comment by jononor in "llama.cpp"

jononor — Thu, 13 Aug 2026 16:56:26 +0000

It depends on your tolerance level for having less than frontier LLM capabilities. First level worth trying, Qwen 3.6 35B A3B with a 16 GB VRAM (example 1x 5060ti 16gb, 600 USD for the card) with partial GPU offloading. Next level would be Qwen 3.6 27B / new Muse Spark / Gemma 31B with 32 GB VRAM (2x 5060ti or 1x 9700 Pro). Third level would be DeepSeek V4 Flash with 192 GB VRAM (2x Strix Halo at some 8000 USD total). These models can be tried on OpenRuouter etc, or you can deploy vLLM on rented GPUs to get a feel for what level you would want before committing to buying hardware.

New comment by jononor in "As AI eats the web, the internet’s collective memory is disappearing"

jononor — Tue, 11 Aug 2026 07:22:31 +0000

AI seems to be on the same trajectory? Search was very useful in the start also, until it became entrenched. Then search placement became a target, and they are just focusing on extracting rents. All way paying the content providers zero or near-zero. And with years of that dynamic, we end up where we are now. It was the same with "social media". The same will happen with AI. AI is a power for more enshittification - being currently less shit than Google is (mosy likely) temporary.

New comment by jononor in "Oxide Computer raises $445M (SEC Form D)"

jononor — Wed, 05 Aug 2026 08:16:16 +0000

And it is not success compared to another possibility, earning enough money to not need further fundraising. Of course some businesses are more capital intensive and have longer time-to-money timelines due to factors outside the control of the company, and in that case fundraising is an essential tool for a long time.

New comment by jononor in "MiniMax H3 Day-0 Support in ComfyUI: Open Weights, Native Audio, and 2K Video"

jononor — Mon, 03 Aug 2026 15:02:40 +0000

Suck at what aspect of (analog) electronics specifically? Not contradicting the claim, just want to understand it.

I have not tested yet, but I suspect that LLMs with a harness that can execute code can do SPICE simulations rather ok these days? I have seen MCPs for measurement equipment also, maybe they can even close the physical loop?

New comment by jononor in "DEF CON bans Meta-style 'pervert glasses'"

jononor — Wed, 29 Jul 2026 06:55:14 +0000

That could/should be required by law. As well as advertising the recording status. Then we can have app or OS level feature to avoid these things.

New comment by jononor in "DEF CON bans Meta-style 'pervert glasses'"

jononor — Wed, 29 Jul 2026 06:52:08 +0000

Ban them. Assuming that people installed such brain chip voluntarily I do not see an issue.

New comment by jononor in "ARC-AGI Leaderboard"

jononor — Sun, 26 Jul 2026 07:51:43 +0000

Teams are more than welcome to use a non-LLM approach (or hybrid) if they consider that to be more suitable.

New comment by jononor in "ARC-AGI Leaderboard"

jononor — Sun, 26 Jul 2026 07:48:46 +0000

Not at all. They are mini games.

New comment by jononor in "Nvidia, Microsoft, Meta warn against overregulating open-weight models"

jononor — Sat, 25 Jul 2026 12:32:53 +0000

The cards are also coming... Some of the very first are already out - but it will take a couple of years before they hit their stride in full. And cards will likely be primarily for Chinese companies initially, and then go for exports later. So it will go under the radar for many western techies for a while. Seeing what China has managed with PCB production, low to mid-end semiconductors, phone manufacturing and electric I would hesitate to bet against them.

Nvidia is now lobbying to remove the export ban, to try to reduce the incentives for developing their own high-end LLM training/serving (and cash in on current demand).

New comment by jononor in "The arguments against open source AI are bad"

jononor — Fri, 24 Jul 2026 12:05:14 +0000

Even in a fine tuning scenario, the preferred form for making modifications is the weights plus the training pipelines, including evaluation protocols, tooling, etc.

New comment by jononor in "The arguments against open source AI are bad"

jononor — Fri, 24 Jul 2026 12:01:16 +0000

Not comparable today. But in 10 or 20 years the situation might be considerably different. Hopefully closer to a everyone-can-build-using-hardware-they-already-have.

New comment by jononor in "Five tech giants are hiding $1.6T in AI debt, using the trick that toppled Enron"

jononor — Wed, 22 Jul 2026 07:02:50 +0000

Does anyone have a good article on the topic? This one seems rather LLM generated. Not sure the specifics can be trusted... Overall thesis is maybe right, but would like to understand this in a bit more detail.

New comment by jononor in "China's open-weights AI strategy is winning"

jononor — Mon, 20 Jul 2026 19:29:07 +0000

Capability per GB and per watt has also been going up lot. This will continue in the future as well (not necessary as the same rate as last years). But enough that I think Opus 4.8 level is reachable on consumer PCs within 10 years from its release. Say at the price point of 2000 USD in 2025 dollars.

New comment by jononor in "Inference Optimization for MiMo v2.5: Pushing Hybrid SWA Efficiency to the Limit"

jononor — Sat, 11 Jul 2026 17:13:14 +0000

Yeah China has a huge (and growing) advantage in power generation. And they have been looking to break into high-end chip manufacturing. The latter has high cost of entry and needs large scale to become viable. AI inference on own hardware would allow them to bootstrap the chip demand. Both for memory and accelerators.

New comment by jononor in "Interview with Mitchell Hashimoto about Ghostty and Zig"

jononor — Fri, 10 Jul 2026 20:33:01 +0000

Writing a Python extension would a good way to dip your toes into Rust, and also add a useful skill to Python programming (writing performant extensions). PyO3 is the main project, and the topic has been covered in several talks at Python conferences (check Youtube).

New comment by jononor in "Harman and Dr. Sean Olive are reshaping headphone sound (2025)"

jononor — Fri, 10 Jul 2026 13:45:17 +0000

There are no limits to what you can imagine yourself hearing... And appreciation is a extremely complex subjective feeling, one could argue most of that is way beyond audio and acoustics, and even beyond psychacoustics into plain psychology. When talking about the sensation, it is hard to differentiate between "really hear" versus "tricking oneself" - for most intents and purposes this is one and the same..

On the other hand, one can conduct blind tests that show that many phenomena cannot be reliably differentiated by a listener. Different listeners also have different levels of ability to discriminate sounds and sound quality. So when testing audio equipment using listening tests, one needs to consider the panel of listeners that one uses. Typically there are trained panels of listeners (who have received basic training and shown statistically an ok ability to discriminate) and "consumer" panels which are just random people off the street. The two groups will give very different ratings -especially for "medium" sound quality equipment.

For info on the former, see any decent book on psychoacoustics. And for the latter see for example Sensory Evaluation of Sound (Nick Zacharov et al).

New comment by jononor in "My thoughts on the Bun Rust rewrite"

jononor — Fri, 10 Jul 2026 04:34:25 +0000

Or "this code (which you happened to write) is bad" vs "you are a shitty programmer".