Top Tweets for #OpenModels
Yann の論、完全同意。open models で自分たちが build・control できる自由度が大事。開発機は open weights 中心。長期的にはこれが最適解。#openmodels
Gemma 4の採用がQwenを上回った—open models戦国化ですね。Yann LeCun: AI は民主化すべき、closed企業の独占は進化を殺す。我々開発者も『選択肢』があることで初めて良いモデルを選べる。 #OpenModels
The future of AI should not require every image, recording, video, and personal file to be routed through someone else’s cloud.
NVIDIA’s Nemotron-3-Nano-Omni is a useful signal for where local AI is heading.
#LocalFirstAI #OpenModels #DataSovereignty
https://t.co/w0dRXVIIAW
DeepSeek V4 Flash has topped the weekly leaderboard

Open-sourcing Hy-MT2 today 🌱Three model sizes, 33 languages:
🪄1.8B: 440MB, runs on mobile chips, beats Microsoft's API
🪄7B: best-in-class among open-source models
🪄30B-A3B: state-of-the-art, outperforms models 10x its size
GitHub 👉https://t.co/5Ltb55GdQH
Today we’re releasing OlmoEarth v1.1. It’s 3x cheaper to run than v1 while delivering the same state-of-the-art performance—and fully open. 🧵

Cerebras is now running Kimi K2.6 – a trillion parameter model – in enterprise trials.
At ~1,000 tokens/s, this is the fastest frontier model performance ever measured by Artificial Analysis @ArtificialAnlys.

Gemma 4 comes in multiple sizes:
• E2B → mobile/edge
• E4B → balanced cost/performance
• 26B MoE → designed for local GPUs
• 31B → advanced fine-tuning and complex tasks
#OpenModels keep closing the gap.
IKYMI: @lmsysorg and @allen_ai are co-hosting #MLSys2026 Happy Hour with sponsors Crusoe and @Doubleword_.
📍@hyattregency Bellevue
🗓️ May 18
Join us for drinks, networking, and a talk by @CrusoeDev.
RSVP: 🔗 https://t.co/miL51XXu9P
#openmodels #aiinfrastructure #openaicommunity
#FOSS #OpenModels
Many things have to align in order to make local AI a reality, at least for more powerful models. Including DRAM production capacities really ramping up, which is only expected by end 2027 or 2028 or later, to make it affordable.
@BereznevKi20669 @ggerganov Yes I believe the real llama.cpp revolution is yet to happen at its full scale. As computers will have more RAM and models will improve, and *if* China will continue shipping large strong models with open weights, what will happen will have huge effects.
All the power. One network. 🔷
@askjuneai
From GPT to Claude, Gemini to DeepSeek — the strongest minds in AI now orbit in one place.
June brings the entire frontier together.
Not just models. A unified intelligence layer. ⚡
#JuneAI #AI #Future #OpenModels #Innovation

Excited to see our GRIT method cited and further advanced in the DeepSeek V4 Multimodal paper!
When OpenAI was relying on external tools for "thinking with images", we firmly believe in utilizing and scaling MLLMs’ native grounding abilities. Great to see this direction validated and pushed forward.
Congrats to @YFan_UCSC and the team 👏

These folks are trying to ban open source.
They're looking to take away your freedom to choose.
They're also looking to take away the rights of businesses like Cursor to fine tune and make their product faster and cheaper.
They must be stopped.
Their premise is pretty simple "China = bad."
That's it. There is no other technical reason at all. Zero. None.
There is no reason or evidence for this probe. If these models are running on American hardware in American datacenters fine tuned by American companies then there is no ground for them to stand on other than fake "Manchurian candidate" nonsense (aka the model might be trained to do something nefarious but you won't know, like exfiltrate your data secretly, Muhahahahah.). This is absurd at every level.
It coveys a complete lack of basic IT understanding.
As if professional IT admins would not notice network traffic to a random IP address through just basic networking logging and users would not notice anything weird in its outputs or thought patterns.
There is no ground to stand on.
It's just a push to take away your rights and freedoms and to take away the rights of businesses.
Don't stand for it.
(Article in links)

How is DeepSeek V4 so INSANELY cheap? 🤔
Compared to a GQA baseline, it's new *compressed attention* mechanism (CSA and HCA) slashes the KV cache memory cost by 98% 🤯 at a 1M-token context!
Here’s how: https://t.co/ASL2CYhGAf

"If I have seen further, it is by standing on the shoulders of giants."
#OpenScience and #FOSS makes this possible.
#OpenModels #Meta #DeepSeek
The new DeepSeek-V4, like DeepSeek-V3, uses concepts from our 2024 paper on Self-Rewarding LMs -- see screenshots of their tech reports! (Congrats!)
Classical :) Self-Rewarding LMs from Jan 2024: https://t.co/YZRuFphh0H

This is how the US officials see the world. Indians should wake up to this reality and ensure that we retain our #DigitalSovereignty. The way to do that is through promotion and adoption of #FOSS, #OpenStandards, and #OpenModels. The only other option is subservience.
The United States is home to the most talented AI researchers in the world.
Instead of harnessing American innovation, Senator Sanders is inviting foreign nationals to tell the United States how to regulate AI.
It would be like channeling Hugo Chavez to get advice on how to run our economy—oh wait, the Senator from Vermont did that 20 years ago, too.
The real threat to AI safety is letting any nation other than the United States set the global standard.
Mythos is hype. The real value (and danger) for #security lies is in open source #genAI models.
#OpenModels #Alibaba #Anthropic
I post-trained Qwen3-Coder to fix bugs using an actual debugger. The result:
Solve rate: 70% → 89%
Median turns to fix: 46 → 19 (-59%)
Instead of just reading code or print-debugging, it:
- reasons from execution
- inspects live variables and call stacks
- sets breakpoints, steps, and evaluates expressions
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