StarCheck

Prevent USDT, Bitcoin, Ethereum, and 8000+ assets from being frozen by exchanges or custody services.

[StarCheck @StarCheck_io]

Get 50 free AML checks with @AtomicWallet

Use promo code “atomic” on https://t.co/edpbt03wgv to keep your wallet safe from shady money 🛡️

[StarCheck @StarCheck_io]

@atomic_chat_hq wow! @Alibaba_Qwen crushed the market! congrats with qwen 3.7!

[atomic.chat @atomic_chat_hq]

Multi-Token Prediction (MTP) for Qwen on LLaMA.cpp!

+40% performance! 90% acceptance rate. Running locally on a MacBook Pro M5 Max 64GB

We patched LLaMA.cpp, quantized Qwen 3.6 27B into GGUF format with TurboQuant and shipped MTP drafts on top. Benchmark, Source code & models👇

[atomic.chat @atomic_chat_hq]

Multi-Token Prediction (MTP) for LLaMA.cpp!

Running Gemma4 local model 1.5x faster.

We patched LLaMA.cpp. Quantized Gemma 4 assistant models into GGUF format. We ran tests on a MacBook Pro M5Max. Gemma 26B with MTP drafts tokens 40% faster. Benchmarks, source code and models 👇

[Sigma Browser @Sigma_Browser]

Private AI browser with the OpenClaw agent on free local models

Run your agent on Qwen, Gemma, or Nemotron directly in the browser

Open source. Private. Runs on your local device

[atomic.chat @atomic_chat_hq]

Deepseek V4 Pro vs GPT-5.5 in a gamedev contest (full prompt is below)🏎️

Cost:
Deepseek V4 Pro: $0.07656
GPT-5.5: $0.33063

Output stats:
Deepseek: 34 tok/s · 9m 5s · 18,869 tokens
GPT-5.5: 25 tok/s · 7m 5s · 10,580 tokens

Conclusion: GPT-5.5 clearly made the better karting game. Deepseek V4 Pro was 4.3x cheaper and generated almost 2x more tokens, but the final result was weaker. It struggled with graphics, visual polish, and creative direction, while GPT-5.5 delivered better game quality, better visuals, more creativity, and stronger overall execution. Even though Deepseek positions itself as a strong model for coding, in this gamedev test it still felt far behind GPT-5.5.

Try the same karting prompt with another AI model and share your result below.

[atomic.chat @atomic_chat_hq]

Compared Qwen3.6 35B and 27B in the same conditions with Google TurboQuant

Device: MacBook Pro M5Max 64GB RAM

Outputs characteristics:
Qwen3.6 35B: 6672 tokens, 2m 10s, 65 tok/s
Qwen3.6 27B: 7344 tokens, 5m 22s, 24 tok/s

Conclusion: Both models were asked to draw waves using HTML, 35B responded quickly but the result feels weak and messy, while 27B took more time and delivered a much cleaner and more consistent result, because it is built for thinking and planning, so it works better on tasks that need structure, overall 27B is a better choice for tasks where planning matters, while 35B is more suitable for everyday use when you just need a fast response

[AI/ML API @aimlapi]

Minimax week on AI/ML API:

- Music-2.6 is free
- Video & TTS models 30% off
- LLMs 10% off

If you haven't tried @MiniMax_AI yet - now is the best time.

[StarCheck @StarCheck_io]

@atomic_chat_hq Running models locally is a narrative now. Data never leaks, totally free - there are only positive points

[atomic.chat @atomic_chat_hq]

GLM 5.1 is now LIVE in Atomic Chat

SOTA for code & chat – now runs locally with TurboQuant

Thanks to @zai_org for open-sourcing this frontier model

[atomic.chat @atomic_chat_hq]

OpenClaude from @gitlawb running through Atomic Chat's local model

MacBook Air M4 16GB RAM - blazing fast

No API key. No cloud. Fully open-source

[AI/ML API @aimlapi]

Newly released ✧ Gemma 4 is live on AI/ML API.

We ran a benchmark test to showcase model capabilities on a complex analysis task, delivering stunning gains in speed, cost, and quality.

RT + comment to win $100 API tokens - 50 random winners!

[StarCheck @StarCheck_io]

@atomic_chat_hq Atomic Chat is currently the fastest team at building on the AI market)

[atomic.chat @atomic_chat_hq]

Google Turbo Quant running Locally in Atomic Chat

MacBook Air M4 16 GB
Model: QWEN3.5-9B
Context window: 50000

Summarising 20000 words in just seconds..
You can do 3x larger context window, processing 3x faster than before!

[Sigma Browser @Sigma_Browser]

Now your AI agent can turn your idea into a video in ONE chat

We just shipped Image To Video inside Sigma Browser 🎬

Write a prompt, the AI generates an image, click Animate Photo – and it comes to life

No animation prompts, no extra tools
The whole thing happens in the same chat where you had the idea

Try it – https://t.co/KQSV5ecVr1

[StarCheck @StarCheck_io]

@Sigma_Browser Wow! Uncensored AI in a world full of censorship is a real killer feature. Follow the Sigma 🚀

[Sigma Browser @Sigma_Browser]

Uncensored AI. Running locally. Inside your browser.

In Sigma you can chat with your own local LLM directly in the browser.

The model runs entirely on the user's machine and is fully open-source. No external APIs, no cloud processing - all interactions stay local.

Both censored and uncensored versions are available.

Try it out now

https://t.co/ZBCxveJt0j

[StarCheck @StarCheck_io]

https://t.co/1z31UuGqz1

[StarCheck @StarCheck_io]

Teaming up with @Sigma_Browser ���

Both StarCheck and Sigma stand for security and privacy - building a safer, more trustworthy web together.

[StarCheck @StarCheck_io]

@ton_blockchain gm my fav blockchain