I tested 5 models across the lineup: – Flash (fastest, ultra-low latency)
– 27B (balanced performance)
– 35B-A3B (multimodal powerhouse)
– 122B-A10B (complex reasoning)
– 397B-A17B (frontier-level outputs) Every single one outperformed my expectations for efficiency. Try them
AI
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Tested 5 AI models across performance spectrum
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Comparison of multimodal AI models’ costs and capabilities
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Here’s where it gets interesting:
— God of Prompt (@godofprompt) 14 mars 2026
– GPT-4o: Multimodal, but expensive to deploy at scale
– Claude Sonnet: Great quality, high compute cost
– Gemini 1.5: Multimodal, but resource-heavy
– Qwen 3.5: Natively multimodal + designed for real-world agents WITHOUT scaling your compute… pic.twitter.com/IVHBFXXewYHere’s where it gets interesting: – GPT-4o: Multimodal, but expensive to deploy at scale
– Claude Sonnet: Great quality, high compute cost
– Gemini 1.5: Multimodal, but resource-heavy
– Qwen 3.5: Natively multimodal + designed for real-world agents WITHOUT scaling your compute -
Qwen 3.5-Flash: Linear Attention + Sparse MoE Breakthrough
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Most companies are scaling models UP to get better performance.
— God of Prompt (@godofprompt) 14 mars 2026
Qwen went the opposite direction.
Their 3.5-Flash model uses linear attention + sparse MoE architecture.
Translation: You get near-frontier performance without needing a data center to run it. pic.twitter.com/rN6cXx8Ox0Most companies are scaling models UP to get better performance.
Qwen went the opposite direction. Their 3.5-Flash model uses linear attention + sparse MoE architecture. Translation: You get near-frontier performance without needing a data center to run it. -
Qwen 3.5 models outperform in AI benchmark tests
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I just spent the morning testing Alibaba's new Qwen 3.5 models against GPT-4o, Claude Sonnet, and Gemini.
— God of Prompt (@godofprompt) 14 mars 2026
The results? Qwen 3.5 is punching way above its weight class especially the small models.
Here's what shocked me about this release:@AlibabaGroup pic.twitter.com/ut3KjAtMK7I just spent the morning testing Alibaba's new Qwen 3.5 models against GPT-4o, Claude Sonnet, and Gemini. The results? Qwen 3.5 is punching way above its weight class especially the small models. Here's what shocked me about this release: @AlibabaGroup
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Alibaba Introduces Qwen 3.5 Small Model Series
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Alibaba just introduced the Qwen 3.5 Small Model Series. Four models. 0.8B to 9B parameters. Natively multimodal. Built for edge devices, mobile, and real-world deployment. More intelligence, less compute. Here's what this release actually means:
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AI Copilots Revolutionize Medicine with MedOS: ChatGPT, XR Glasses, and Robotic Hands for Doctors
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AI copilots are coming for medicine.
— AI Breakfast (@AiBreakfast) 14 mars 2026
MedOS is basically ChatGPT + smart glasses + robotic hands for doctors.
A physician can wear XR glasses, see a patient, and the system:
• watches the procedure in real time
• reasons with multi-agent AI models
• suggests diagnoses or… pic.twitter.com/PbxnYVO227AI copilots are coming for medicine. MedOS is basically ChatGPT + smart glasses + robotic hands for doctors. A physician can wear XR glasses, see a patient, and the system: • watches the procedure in real time
• reasons with multi-agent AI models
• suggests diagnoses or -
MedOS deployed at Stanford, presented at NVIDIA GTC as AI-native milestone
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The big deal: this isn’t a lab demo. MedOS just deployed inside Stanford Blood Center and Stanford Pathology, and it’s being presented at NVIDIA GTC: the same conference where most of the modern AI stack gets unveiled. If it works, this is the first real glimpse of AI-native
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Siri’s poor speech recognition vs. Whisper’s open-source perfection
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Siri not using Whisper is one of the strangest things in tech.
— AI Breakfast (@AiBreakfast) 14 mars 2026
Whisper: open-source, years old, near-perfect speech-to-text.
Siri: still mishears half of what you say.
Hard to believe the engineers actually dogfood the product. pic.twitter.com/s6Iqk0uQ4sSiri not using Whisper is one of the strangest things in tech. Whisper: open-source, years old, near-perfect speech-to-text. Siri: still mishears half of what you say. Hard to believe the engineers actually dogfood the product.
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Siri’s poor speech recognition baffling compared to Whisper’s accuracy.
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Siri not using Whisper is one of the strangest things in tech.
— AI Breakfast (@AiBreakfast) 14 mars 2026
Whisper: open-source, years old, near-perfect speech-to-text.
Siri: still mishears half of what you say.
Hard to believe the engineers actually dogfood the product. pic.twitter.com/s6Iqk0uQ4sSiri not using Whisper is one of the strangest things in tech. Whisper: open-source, years old, near-perfect speech-to-text. Siri: still mishears half of what you say. Hard to believe the engineers actually dogfood the product.
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AI Prompts Risk Cultural Monoculture and Human Conformity
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*minimal representation of the MODAL human cultural artifact is a prompt… …severely raising the cost of any diversity and encouraging extreme monoculture to appease the machine god. you do not want to see what happens when humanity unthinkingly submits to loss minimization,