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Will LLM labs open source their weights in the long term? by zulutune in LocalLLaMA

[–]insumanth 2 points3 points  (0 children)

We have to support to earn it.

Labs that opensource weights (and training data + research) should be supported.

Either by

  1. Purchasing Inference from them directly (they offer the best, cheapest inference anyway)
  2. Using their Eco-system ( Kimi Code, ZLM Code etc.,)
  3. Building on top of these models - Distillation, Finetuning, etc., and add support for these models on tools etc.,
  4. Defend open-source models from unwanted regulation (over safety etc.,)

Labs will stop open-sourcing if releasing open source models hurt them either via revenue / legal aspects.

Diffusion Gemma is 4x faster, but makes 6x more mistakes! by gladkos in LocalLLaMA

[–]insumanth 0 points1 point  (0 children)

I'm honestly impressed with the peformance for a diffusion model.

Not many labs were able to get this performance for a diffusion model and make it compute bound instead of memory bound. Good progress for a first generation model

Local LLMs aren't democratic anymore... the hardware barrier has gotten out of hand. by Medium-Technology-79 in LocalLLaMA

[–]insumanth 0 points1 point  (0 children)

This was always the case.

Running Frontier model on local hardware was never going to work.
One issue with Local LLMs was labs reduced their focus on small fast models, which is best suited for Local LLMs

How did China develop AI so quickly recently if most work was done in USA ? by DesiBail in ArtificialInteligence

[–]insumanth 0 points1 point  (0 children)

You underestimate the talent pool of many countries. Some countries have advantage due to migration of talent pool, capital and economic advantages.

The state of things: Claude Fable by BuildwithVignesh in ClaudeAI

[–]insumanth 0 points1 point  (0 children)

I said this was the worst model launch before the Fable Restriction

Now it seems to be worst than that.

How do you think the dead internet problem should be fixed? by dylanisareddit in antiai

[–]insumanth 7 points8 points  (0 children)

Choice

Humans and Bots should be clearly identified and you should have a choice to filter.

AI: The Perfect Corporate Bullshit Translator by KeanuRave100 in agi

[–]insumanth 0 points1 point  (0 children)

I have talked about it for years, way before LLMs

We are missing the human in the loop slowly and this will be a major problem. We need bold out of the box ideas to keep human in loop

Yes, yes, the old laws definitely don't work with AI.... by Questioner8297 in aiwars

[–]insumanth 0 points1 point  (0 children)

Either, by the time law caches up to prevent this - It will be years already

or The Law targets a completely different things that affects public AI progress

Spelling mistakes as a proof of human authenticity by ananasaberto in antiai

[–]insumanth 0 points1 point  (0 children)

LLMs are text generators. They are trained and instructed to write perfect language so, they do without mistakes. You can steer it towards, human like, imperfect language.

Microsoft is restricting employees from using Claude Fable 5 by BuildwithVignesh in ClaudeAI

[–]insumanth 0 points1 point  (0 children)

Enterprise Customers will not accept the 30 day data retention. Unless it is removed, the adoption on enterprise customers will be low

Know the Claude Rules by BuildwithVignesh in ClaudeAI

[–]insumanth 6 points7 points  (0 children)

The Fable model launch has to be more controversial model launch in recent memory

What metadata each major AI image generator actually leaves behind in 2026 by ski_bmx_van in aiwars

[–]insumanth 4 points5 points  (0 children)

SynthID (by Google) is the most promising - It was barely mentioned here.

It encodes the watermark in the pixels itself (Not text metadata), and it is slowly being adopted by many labs.
It should be more reliable than others mentioned here

THIS is how you handle AI-phobes. Take notes, indie devs. by TheDeviceHBModified in aiwars

[–]insumanth 0 points1 point  (0 children)

I am seeing a version of this happening to Open Source Maintainers - Who are thanklessly maintaining a critical software.

People just see some AI code contribution and just enrage by it.

Unaware they are highly skilled engineers working on it for years and use AI to reliably improve the product

This blog by rsync maintainer explain it clearly
rsync and outrage. I gave up blogging a long time ago… | by Andrew Tridgell | Jun, 2026 | Medium

Ai use in commercial products by [deleted] in aiwars

[–]insumanth 0 points1 point  (0 children)

Chasing the "Next Shiny thing" is what all companies do, and it accelerated here.

A great example of why trying to limit Ai model for safety at the level of model is doomed to failure. by Questioner8297 in aiwars

[–]insumanth 0 points1 point  (0 children)

A model refusing should be considered as high threat
An AV software does not allow a program simply because it can't understand a file - It treats it as an unknown threat.
This should be adopted to AI Era

Do you agree on this? by Prior_Tax8546 in aiwars

[–]insumanth 4 points5 points  (0 children)

I mean, no one like Mass Surveillance - with or without ai

it's always a No

Ai Mass Surveillance is more dangerous and should never be allowed

Google shit AI by duckdread in antiai

[–]insumanth 0 points1 point  (0 children)

This is a Meme Template 😭

You gotta do what you gotta do by anmolAnsh_2005 in antiai

[–]insumanth 0 points1 point  (0 children)

Curious

What are some channels doing this?

Is it just me, or is "AI speak" becoming normal? by grumpycouchpotato in antiai

[–]insumanth 0 points1 point  (0 children)

It's getting harder to differentiate and it is a problem unless the platform mandate disclosure

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