HN user

wg0

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twitter.com 10h ago

GPT-5.6 found an Intel CPU microcode bug causing a performance regression

wg0
2pts0
www.youtube.com 1mo ago

Musician correctly predicts rise of local LLMs

wg0
4pts0
github.com 1mo ago

Libexpat Is Understaffed

wg0
3pts0
github.com 2mo ago

OpenCode is using CPU for doing nothing

wg0
5pts0
www.reuters.com 3mo ago

DeepSeek's V4 model will run on Huawei chips

wg0
6pts0
old.reddit.com 3mo ago

Claude Code bug can silently 10-20x API costs

wg0
66pts7
news.ycombinator.com 4mo ago

Ask HN: If you interview an LLM for SE position, what would be your placement?

wg0
2pts1
www.youtube.com 5mo ago

Why Replacing Developers with AI Is Going Horribly Wrong? [video]

wg0
2pts0
twitter.com 8mo ago

Pakistani newspaper mistakenly prints AI prompt with the article

wg0
537pts171
github.com 10mo ago

Better Bahn – Find cheaper train tickets (Open Source)

wg0
1pts0
www.nativewind.dev 1y ago

Nativewind – Tailwind for ReactNative

wg0
2pts0
www.youtube.com 1y ago

Nix explained from grounds up [video]

wg0
1pts0
old.reddit.com 1y ago

I Moved from Svelte to React

wg0
1pts0
www.youtube.com 1y ago

Why Vertical LLM Agents Are the New $1B SaaS Opportunities [video]

wg0
4pts0
andrewbranch.github.io 1y ago

ESM-CJS Interop Test

wg0
1pts2
github.com 1y ago

Shoutrrr – Notifications Library for Gophers

wg0
1pts0
github.com 1y ago

Dynamic DNS Updater – with 50 providers

wg0
1pts1
github.com 1y ago

WireGuard Network Driver for Docker

wg0
5pts1
github.com 1y ago

Svelte Datatable (Component)

wg0
2pts0
news.ycombinator.com 1y ago

Ask HN: Kodak, VW, Intel – Why big companies fail?

wg0
17pts38
pgpedia.info 2y ago

PgPedia – A Wiki about PostgreSQL

wg0
4pts0
twitter.com 2y ago

How Apple Intelligence Works?

wg0
1pts0
news.ycombinator.com 2y ago

Ask HN: Who'll take ownership of AI's mistakes?

wg0
14pts15
github.com 2y ago

Perses – Dashboards for Prometheus (Grafana Alternative)

wg0
1pts0
dockerswarm.rocks 2y ago

Website Is Deprecated (Dockerswarm.rocks)

wg0
1pts0
www.mirantis.com 2y ago

Future of Docker Swarm

wg0
2pts0
www.youtube.com 2y ago

Coding the Cosmos – Does reality emerges from simple computations? [video]

wg0
3pts0
github.com 2y ago

Teslamotors – Ansible Puller at Scale

wg0
1pts0
news.sky.com 2y ago

Jailed Imran Khan uses AI video to claim election victory

wg0
1pts0
github.com 2y ago

What happens after 100 years?

wg0
2pts1

tied to the corrupt Trump administration that are neither the highest quality nor the cheapest

Someone is calling corrupt as corrupt. Surprising.

Everyone is declaring GLM 5.2 as something that's really a big deal.

I don't know about that but based on my own experience with Deepseek v4 Lite alone (with high effort) I have no doubt in my mind that anyone claiming such great things about GLM 5.2 must be true because Deepseek v4 already is really awesome.

You might dismiss it as nothing but the Linux analogy does not work here either. It is more than that and direct threat to commercial AI labs and their business model. These labs are milking bunch of foundational papers for years now and the end is near.

Going forward would be such open source, open data and open recipe models possibly someday even with the training being crowd sourced if not inference like the BitTorrent model.

Lastly, even Chinese models (GLM, Deepseek, MiMax) work really really good and any user would testify that they do not miss OpenAI/Anthropic/Gemini at all if they're using those Chinese models which is argument enough that with such models, no one is going to miss Chinese models as well.

I think open source is dead. Basic issue is - if your product is open source or even open core, building a business around it would be impossible because someone else would point an AI agent at it and would have similar thing to offer.

Hence, closed source is what's next probably. Unfortunately.

As for the claim coming out of Shenzen, it carries no benchmarks, gives no figure for how long the run took, how it compared to the same job on Nvidia hardware, or how efficiently the 1,000-chip cluster was used. It’s ultimately just another addition to a series of dubious claims that have come from the Chinese state without anything to back them up; DeepSeek itself hasn’t commented.

As if OpenAI and Anthropic are giving us ball to ball commentary on how their training runs go. Deepseek did train it on domestic hardware, model might be out in public soon (open weights or not) and then anyone can see what is it about.

I would not compare to lottery because a lottery ticket is bought at pure chance whereas these startup are taken onboard after very thorough audit.

Bottom line is this:

The model is not affordable for the masses. When it is not affordable for masses then it cannot have a mass market. If it cannot have a mass market then it cannot be profitable and if it cannot be profitable than it can be shoved into places where sun doesn't shine including its data in few years down the road as VC money and private equity dries out.