The interview is with Ted Postol, a professor from MIT and a prominent expert on this field. The fact that he has to give interview on a youtube channel from a lady in Texas says more about the state of the oligarch owned media in the west than anything else.

The fact of the matter is that patriots do not work, and are unable to intercept missiles from Iran or Russia. That’s why all the burger reich bases have been razed now in the Gulf. And the reich can’t produce new missiles because it is unable to refine rare earths on its own or produce things like magnets needed for high tech weapons. Trump is the perfect symbol for this rotten nation.

🤷‍♂️

Yes, the article is covering an announcement by Huawei. There’s literally zero reason to assume that Huawei is lying about any of this. Everything doesn’t need to be framed as both sides kind of argument. Also, anybody can go look up technical specs that are published if they don’t trust the figures in the article. This whole drama is just so weird to me.

The article is full of actual numbers, and anybody with a functioning brain can see why this is an important technological development. The fact that you have an issue with the style of the article doesn’t diminish the achievement in any way.

malding/coping

oh no, I made the bot glitch, ah well was fun while it lasted

good of you to have this level of introspection

I love how you just keep tilting there.

gotta love it when reddit.world start leaking all at once

Your dedication to the clown act is truly admirable.

Thank you for your dedication to providing such an excellent illustration of the Dunning-Kruger effect. If you’d like to actually learn about the subject then go read the paper, perhaps even you have the capacity to learn. Although, given this discussion I have doubts. https://www.nature.com/articles/s44460-026-00122-3

Awww, it’s adorable that you think you made good points. And being actually informed is precisely how I can spot trolls like you. Not really sure why you keep replying. You’re not going to convince me to have any respect for you by continuing to double down here.

absolutely hilarious that you think you deserve some sophisticated response here, and obviously this conversation has no value, you have absolutely nothing of substance to say, run along and do your trolling elsewhere

Sounds like one of use is definitely crashing out. Is google blocked at the troll farm?

Ah yes, another armchair expert who clearly knows more than the researchers at Nanjing University and the editors of Nature Sensors.

Power constraints are not a concern. Drones and satellites just have unlimited batteries, right? They definitely don’t need to shave off every milliwatt possible.

Hybrid CV systems are already perfect. Why would anyone bother innovating when we can just keep moving massive amounts of redundant data through multiple conversion stages? It’s not like that burns energy or anything.

But sure, your armchair analysis definitely outweighs peer reviewed research from an international team that built a working prototype with molybdenum disulfide phototransistors.

They probably just forgot to Google ‘hybrid CV’ before publishing.

🤡

This is further illustration that raw model capability isn’t really the most interesting thing at this point. The model and the harness should be viewed as a single system. I expect that we’ll be moving towards neurosymbolic systems where LLMs act as a heuristic engine within the boundaries of a symbolic logic system.

Possibly, I haven’t looked at how easy it is to get your hands on one of those.

If you absolutely need one now, a mac is probably the cheapest way to run them because of the unified memory. With any x86 solution you have to get a separate video card with at least 32gb vram to run a decent local model. However, if you wait a bit then you can probably get a dedicated chip a lot cheaper in the near future https://wccftech.com/alibabas-tsmc-built-5nm-risc-v-chip-xuantie-c950-now-runs-qwen-3-8-27b-model-natively-unlocking-massive-vertical-integration-tailwinds/

I expect doing ASICs for models will work even if they keep improving. It’ll be like regular chips getting new versions. You buy a chip with a specific model etched into it, and if it does what you need great. Next year, a new version comes out. So, it’s actually a feature since it allows companies to keep selling new chips.

It does look like we are entering diminishing returns territory though. The biggest evidence for this is that Chinese companies have now basically caught up to Anthropic and OpenAI. If the progress at the frontier was still happening at the same rate, then the gap wouldn’t be closing so quickly. There’s also a lot less noticeable difference between stuff like Claude 4.6 and Claude 5. When they went from 3.x to 4.x it was very noticeable. And at least for agentic coding, most of the improvement seems to come from the harness now. I expect improvements will continue, but at a much more gradual pace. It’s also possible people will figure out a new architecture that’s superior to LLMs, or works with them. World models are one promising area already being explored.