life is crazy and not easy.
99 Rue Menzel Bourguiba 7032 C
Joined December 2022
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Tech Fun retweeted
Ambassador Thornhill, welcome to the team. I’m proud to have such a dedicated leader join us as Ambassador-at-Large to Monitor and Combat Trafficking in Persons. Human trafficking is a grave human rights issue and a transnational crime exploiting men, women, and children for profit. We will continue to go after traffickers, protect survivors, and deliver justice for the American people.
Tech Fun retweeted
Closed source is dead.
REA lets Claude Code or Codex take apart any app, all the way down to the binary, and explain exactly how a feature works.
- Native apps, Electron apps, websites, APKs, firmware, even smart contract bytecode
- Shows the evidence for every claim
- Then builds its own version of the feature
25,000+ GitHub stars in a single day. 100% open-source.
github.com/morluto/rea
Tech Fun retweeted
Today we're releasing Underdog Saluki 27B
Based on Qwen 3.8 27B, Saluki is almost 7x smaller than its full-precision counterpart while it keeps 96% of its benchmark performance and beats Qwen at tool calling
It's the best model <8GB that runs in Underdog
Saluki is available today under Apache 2.0. Try today in Underdog underdog.ai/saluki
Tech Fun retweeted
New release is out!
- Intel Arc works fast now!
- Multi-GPU (+40%) boost
- Low-RAM setups now fly
- DGX Spark 10X faster
- Outputs 4% faster
- Short prompts are now blazing quick
github.com/Niko1221/Strata/r…
Tech Fun retweeted
Meet EmbeddingGemma 2, our first natively multimodal open model for on-device embeddings.
It expands beyond text to unify code, images, audio, and video in a shared space. 🧵
Tech Fun retweeted
Google releases EmbeddingGemma 2, a new open model that runs locally on 0.5GB RAM.
The 740M parameter Apache 2.0 model combines a 270M text model with vision (170M) + audio (300M).
Run & train the model via Unsloth.
GGUF: huggingface.co/unsloth/embed…
Guide: unsloth.ai/docs/models/embed…
Tech Fun retweeted
All three models are available today! Learn more details here: msft.it/6011alGHB
Tech Fun retweeted
⚡ Meet Qwen-Audio-3.1! ASR, TTS & Realtime are fully upgraded, joined by two new models: TTS-Next for audio creation and ASR-Next for audio understanding.
Five models, one complete audio stack: understanding, generation, interaction & creation.
Plus big price cuts across the lineup: TTS ~70% off, Realtime ~85% off, and ASR up to 95% off.
Highlights: 🥳
- ASR: stronger multilingual & dialect recognition, plus native polishing that auto-removes fillers & repetitions for cleaner, more logical transcripts.
- ASR-Next: supports multi-speaker ASR with speaker labels, timestamps & aligned transcripts, and understands emotions, ambient & machine sounds for sound captioning, event localization, audio QA & reasoning.
- TTS: multilingual & dialect synthesis with natural cross-lingual voice transfer; control emotion, speed & style via simple instructions.
- TTS-Next: unified LM + diffusion framework generating voice, sound effects & background audio in one pass for audiobooks, podcasts, games & ads.
- Realtime: speak & listen at once with anytime interruption, just like a real call; it even slows down and responds empathetically when it senses a low mood.
Unlock the full potential of Qwen-Audio-3.1! 👇
- Blog: fun-resource-shanghai.oss-cn…
- Qwen-Audio-3.1-ASR:
qwencloud.com/models/qwen-au…
- Qwen-Audio-3.1-Realtime:
qwencloud.com/models/qwen-au…
- More APIs: coming soon @qwen_cloud
Tech Fun retweeted
introducing Gemini 3.8 Flash TTS and Gemini 3.8 Flash-Lite TTS, our most expressive audio generation models yet
these models enable creators, developers, and enterprises to create richer, more expressive audio experiences
try them via the Gemini API and in AI Studio: aistudio.google.com/generate…
Tech Fun retweeted
🚨ThinkingCap: Qwen3.8-27B is out!
The most token-efficient Qwen3.8 27B available, this time optimized for agentic use.
🚀 Up to 65% fewer thinking tokens, 37% on average
🎯 Minimal accuracy loss
📈 Long-context retrieval actually went up 2.3pp
📄 Blogpost: bottlecapai.com/post/thinkin…
🤗 Hugging Face: huggingface.co/bottlecapai/T…
🔗 GGUF: huggingface.co/bottlecapai/T…
Tech Fun retweeted
Claude has discovered a previously unknown enzyme system hidden in the DNA of bacteriophages. Beside the enzyme’s gene sits a long array of repeating DNA—a structure that looks somewhat similar to CRISPR.
We don’t yet understand what this system does, but only a handful of known systems share its features, and all of them are able to cut, copy, and paste DNA. Historically, the discovery of such programmable systems has helped revolutionize medicine. CRISPR, for instance, is now the foundation of genetic medicines. But it will take much more work to learn what this system does, and whether it can be put to similar use.
Read more: anthropic.com/news/claude-di…
Tech Fun retweeted
Bringing AI into the enterprise doesn’t have to mean starting from scratch.
AMD Instinct MI350P is designed to bring LLM-scale AI into existing environments with an air-cooled form factor that helps organizations deploy without rethinking their entire infrastructure.
Tech Fun retweeted
We're releasing a ternary 27B model that retains 98.2% of its parent model Qwen 3.8 27B! It excels at agentic work, computer use, long context, and more and is our most advanced model to date.
Plus it's under 6GB in size and runs at 55 tok/s on M5 Max. Excited to see what the community will do with this model!
Today, we’re announcing Ternary Bonsai 2 27B.
Based on Qwen3.8 27B, Bonsai 2 27B is 9x smaller than its full-precision counterpart while retaining 98.2% of its aggregate benchmark performance.
Two months after the first Bonsai 27B release, the biggest change is quality. The footprint remains 5.9 GB, but the gap to full precision has narrowed materially, with particularly strong gains in agentic coding, multimodal reasoning, and long-horizon tool use.
Ternary Bonsai 2 27B is available today under Apache 2.0.
Tech Fun retweeted
❤️
We Must Pace the Frontier: I’ve written a new essay on why the AI industry should slow down, with a three-part plan for doing so.
Anthropic is unilaterally committing to the first of these steps. We’ll provide third-party evaluators with permanent, employee-level access to our systems, so that they can verify adherence to our safety measures, report on incidents, and assess models’ alignment during training.
You can read the full post here: darioamodei.com/post/we-must…
Tech Fun retweeted
Qwen3.8-27B EXL3 on your 16 GB Nvidia GPU
One click install, ready for action.
xitter.cf/MiaAI_lab/status/20979…
