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Mkenginon GPT 6.1 Sol: Near-Astra intelligence for a fifth of the price

Github is trying to do that: https://github.blog/ai-and-ml/github-copilot/project-hydrafu...

Mkenginon Corporate America is getting hooked on open-source AI

Google is already doing that since last year and the models where never leaked, so I don't think that would even be a problem.

https://cloud.google.com/blog/topics/hybrid-cloud/gemini-is-...

Mkenginon DeepSeek V4 Flash 0731

Are you also talking about personal projects? That wouldn't be enough for me for work either, but for personal use, my $20 Codex subscription is perfectly fine. Then again, as a new dad, I can maybe only work on personal projects for 1 hour in the evening if things go well, so for my current situation in life, it's enough.

Mkenginon DeepSeek makes the V4 Pro price discount permanent

There Seen to be more and more harness benchmarks out there, pretty interesting read:

https://neuralnoise.com/2026/harness-bench-wip/

Mkenginon US economy unexpectedly sheds 92k jobs in February

I don't think so, I use GrapheneOS and I think I can't even use the USB-C port for anything other than charging (which should be configurable).

Mkenginon GPT-5.2-Codex

No, I am not affiliated with the website, I just want to see more discussions based on uncontaminated benchmarks and feel that people rely too much on benchmarks that companies can conduct themselves. If that is the case, I don't feel I can trust them. For general LLM capabilities, for example, I would also tend to rely on dubesor [1] rather than artificial analysis or similar leaderboards.

[1] https://dubesor.de/benchtable

Mkenginon Clair Obscur having its Indie Game Game Of The Year award stripped due to AI use

I would assume that if a tool is there and the alternative too costly that they would use the tool instead of buring their project. Just today I stumbled over this for example, where they use GenAI as well: https://reddit.com/comments/1prqfsu

Mkenginon Clair Obscur having its Indie Game Game Of The Year award stripped due to AI use

Not for coding, but today I stumbled upon these two building their passion project using GenAI, which would otherwise perhaps not be possible: https://reddit.com/comments/1prqfsu

Mkenginon Clair Obscur having its Indie Game Game Of The Year award stripped due to AI use

It doesn't have to be hyped to be used, for example today I found these two building their passion project using GenAI, which would otherwise maybe not possible, who knows: https://reddit.com/comments/1prqfsu

Mkenginon Clair Obscur having its Indie Game Game Of The Year award stripped due to AI use

This is just one example, but today I found this where two people build their passion project using GenAI for image generation (+ photoshop), maybe otherwise this project wouldn't even be possible: https://reddit.com/comments/1prqfsu

Mkenginon GPT-5.2-Codex

Though this Codex version isnt on the leaderboard, GPT-5.2-Medium already seems to be a bit better than Opus 4.5: https://swe-rebench.com/

Mkenginon GPT-5.2-Codex

At least on swe-rebench it does pretty well: https://swe-rebench.com/

Mkenginon GPT-5.2-Codex

Your experience seems to match the recent results from swe-rebench: https://swe-rebench.com/

Mkenginon GPT-5.2-Codex

According to SWE-Rebench Anthropic and OpenAI are really close in performance, while GPT-5.2 costs less than half the cost of CC per problem.

https://swe-rebench.com/

Mkenginon Image Diffusion Models Exhibit Emergent Temporal Propagation in Videos

Interesting. So similar to the vision encoder + projector in VLMs?

Mkenginon Claude Opus 4.5

I am eagerly awaiting swe-rebench results for November with all the new models: https://swe-rebench.com/

Mkenginon Claude Opus 4.5

I like this one: https://swe-rebench.com/

Mkenginon Artificial Writing and Automated Detection [pdf]

Or use RL to beat any AI detectors: https://reddit.com/r/LocalLLaMA/comments/1lnrd1t/you_can_jus...

Mkenginon LoRA Without Regret

https://arxiv.org/abs/2311.13600

https://arxiv.org/abs/2410.22911

https://arxiv.org/abs/2409.16167

Mkenginon OpenAI's new open-source model is basically Phi-5

Thank you for testing, I will test GPT-OSS for my use case as well. If you're interested I have 8 GB VRAM, 32 GB RAM and get around 21 token/s with tensor offloading, I would assume that your setup should be even faster than mine with the optimizations. I use the IQ4_KSS quant (by ubergarm on hf) with ik_llama.cpp with this command:

$env:LLAMA_SET_ROWS = "1"; ./llama-server -c 140000 -m D:\ik_llama.cpp\build\bin\Release\models\Qwen3-Coder-30B-A3B-Instruct-IQ4_KSS.gguf -ngl 999 --flash-attn -ctk q8_0 -ctv q8_0 -ot "blk\.(19|2[0-9]|3[0-9]|4[0-7])\.ffn_.*_exps\.=CPU" --temp 0.7 --top-p 0.8 --top-k 20 --repeat_penalty 1.05 --threads 8

In my case I offload layers 19-47, maybe you would just have to offload 37-47, so "blk\.(3[7-9]|4[0-7])\.ffn_.*_exps\.=CPU"

Mkenginon OpenAI's new open-source model is basically Phi-5

Why Qwen2.5 and not Qwen3-30B-A3B-Thinking-2507 or Qwen3-Coder-30B-A3B-Instruct?