No. 001 · The daily AI briefing
Today on the
AI frontier.
Hundreds of new AI models ship every day. We surface the ones that matter and translate them into plain language. Tap any model for the brief.
Pick of the day
Today's model
🔥 20dempero-ai/Qwythos-9B-Claude-Mythos-5-1M-GGUF
Qwythos-9B-Claude-Mythos-5-1M-GGUF
Developed by Empero GGUF quantizations of empero-ai/Qwythos-9B-Claude-Mythos-5-1M for llama.cpp, Ollama, LM Studio, jan, KoboldCpp, and other GGUF runtimes. Qwythos-9B is a full-parameter reasoning model post-trained on over 500 million tokens of high-quality Claude Mythos / Claude Fable traces with chain-of-thought generated in-house by Empero AI's internal rethink tool. It dominates the base Qwen3.5-9B under matched evaluation (+34 pts MMLU, +30 pts gsm8k-strict, +19 pts gsm8k-flex), supports native function calling per the Qwen3.5 spec, and ships with a 1,048,576-token (1M) context window …
Qwythos-9B-Claude-Mythos-5-1M-GGUF
2.0M
downloads
2.1k
likes
Fresh drops
empero-ai🔥 20dQwythos-9B-Claude-Mythos-5-1M-GGUF
Image Text To Text
tencent🔥 7dHy3
Text Generation
zai-org🔥 27dGLM-5.2
Text Generation
krea2-identity-edit
Model
bottlecapai🔥 4dThinkingCap-Qwen3.6-27B
Image Text To Text
GnLOLot🔥 2dMiniCPM5-1B-Claude-Opus-Fable5-Thinking-GGUF
Text Generation
InternScience🔥 10dAgents-A1
Text Generation
baidu🔥 21dUnlimited-OCR
Image Text To Text
empero-ai🔥 20dQwythos-9B-Claude-Mythos-5-1M-GGUF
Image Text To Text
tencent🔥 7dHy3
Text Generation
zai-org🔥 27dGLM-5.2
Text Generation
krea2-identity-edit
Model
bottlecapai🔥 4dThinkingCap-Qwen3.6-27B
Image Text To Text
GnLOLot🔥 2dMiniCPM5-1B-Claude-Opus-Fable5-Thinking-GGUF
Text Generation
InternScience🔥 10dAgents-A1
Text Generation
baidu🔥 21dUnlimited-OCR
Image Text To Text
Trending now
empero-ai🔥 20dQwythos-9B-Claude-Mythos-5-1M-GGUF
Image Text To Text
tencent🔥 7dHy3
Text Generation
zai-org🔥 27dGLM-5.2
Text Generation
krea2-identity-edit
Model
bottlecapai🔥 4dThinkingCap-Qwen3.6-27B
Image Text To Text
OpenMOSS-TeamMOSS-Transcribe-Diarize
Audio Text To Text
GnLOLot🔥 2dMiniCPM5-1B-Claude-Opus-Fable5-Thinking-GGUF
Text Generation
InternScience🔥 10dAgents-A1
Text Generation
froggeric🔥 4dQwen-Fixed-Chat-Templates
Model
baidu🔥 21dUnlimited-OCR
Image Text To Text
In medicine
Models Hugging Face categorises under medical, healthcare or clinical tags. A category, not an endorsement.
lingshu-medical-mllm153k↓Lingshu-7B
Image Text To Text · mit
Tap for the brief →Medical-NER
Token Classification · mit
ClinicalBERT
Fill Mask
King3Djbl16k↓nexus-medical-GGUF
Text Generation · apache-2.0
sentence-transformers8.1k↓embeddinggemma-300m-medical
Sentence Similarity · apache-2.0
Prompt of the day
Not a one-liner you could type yourself — an ambitious task that shows what AI can build for you: a hard clinical work-up, a patient handout, a stunning teaching image, a mini app. Tailored to today's model, with everything baked in. Copy it and run it.
AI-suggested for clinicians · Qwythos-9B-Claude-Mythos-5-1M-GGUF
Decoding Lung Nodules
You get a step-by-step Socratic walk-through of interpreting a complex lung nodule on a CT scan, highlighting key features and pitfalls with evidence-based reasoning.
Act as a teaching consultant radiologist. A fictional 55-year-old female non-smoker presents with a persistent cough. Her chest CT scan (described): a 2cm solitary pulmonary nodule in the left upper lobe with irregular margins, spiculated borders, and a small notch, no calcification, no lymphadenopathy, and normal mediastinum. (1) Walk a trainee through what to look for in this nodule. (2) Highlight the pattern that most increases malignancy concern. (3) Discuss classic pitfalls in nodule assessment. (4) Detail the evidence behind each concern, specifically the role of the notch and spiculation.
Synthetic case with a described image. Run it as-is, or attach a real de-identified image following your local safety policy.
Always verify findings with clinical correlation and further investigation as necessary.
Try it in a SpaceBecome future-ready
Most AI training is built by engineers, for engineers. Ours takes clinicians on a journey: from confident user, to applied scientist, to inventor. Learn the fundamentals, apply AI to real research and clinical work, then build your own, turning research into analysis, notes into documents, and ideas into presentations, reports, even papers and websites.
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Every track is certified by IIHMR Bangalore, a leading, NAAC-accredited institute for healthcare education, in partnership with GreyBrain School of AI. You finish with a recognised executive certificate, not just know-how.
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Runs monthly
Gen AI for Doctors: Express
2 weeks · part-time · for clinicians who want certified, applied skills
You become an applied scientist
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- An IIHMR Bangalore executive certificate
Cohort enrolling
Gen AI for Doctors: Cohort
Multi-week · hands-on cohort · for those ready to build and lead
You become an inventor
- Build your own AI assistants and tools
- Mentored projects on your real workflows
- A capstone you can deploy in your unit
15 Nov 2026 · 5 seats left
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