BREAKING Claude Fable 5 went public yesterday, the first Mythos model, the tier above Opus 4.8. So I tested it. Same 3 prompts, Fable 5 vs Opus 4.8, one shot each, no follow-ups. Watch what came back:
RESEARCH
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AI Improves Seasonal Allergic Rhinitis Diagnosis
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AI Improves Seasonal Allergic Rhinitis Diagnosis
#AI #AIio #AIInnovation #ML #DataScience #Futureofwork @Scobleizer @AndrewYNg @drfeifei @KirkDBorne @fchollet @rowancheung @antgrasso -
Far-Field ASR Benchmark Webinar with Shinji Watanabe and Julian Mack
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Want to learn more about the Far-Field ASR benchmark? Join Treble's webinar tomorrow, June 11th, with @shinjiw_at_cmu
, Cohere's @Julianfmack
, and other industry leaders discussing the future of far-field speech recognition. Register here: -

Cohere Transcribe ranks #1 in enterprise speech recognition tests
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These tests measure performance in varying signal-to-noise conditions: the kinds of audio found in meeting rooms, contact centres, & phone calls. In other words, environments where enterprise speech applications actually operate. Cohere Transcribe ranked #1 across every metric:
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Transcribe tops OpenASR and far-field speech benchmarks
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In March, Transcribe topped the OpenASR leaderboard for general-purpose speech recognition. Today, it leads a benchmark designed to go beyond and test robustness in real-world, far-field audio environments. Give it a try and share back what you build:
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Cohere Transcribe, open-source ASR model, #1 on Hugging Face benchmark
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Cohere Transcribe, our open-source speech recognition model, is #1 on the new @huggingface Far-Field ASR benchmark.
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US-China AI gap fluctuates; China opens, US closes.
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U.S. and China AI development will continue to fluctuate between 3 and 15 months. It's interesting that China is becoming open, and the U.S. is becoming closed. Great conversation with @alansmurray at the WSJ Leadership Institute CEO Summit.
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Fable will be considered a dumb model soon
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It’s hard to imagine, but Fable will be considered a “dumb” model in just a few months.
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Debate on steering vector or LoRA in ML research
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i'm hearing some mixed interpretations of this, is it Option A:
There is a steering vector or LoRA that fires only when you're working on cutting-edge ML research and makes the model dumber OR Option B:
If you try full finetuning, Claude will subtly convince you to use LoRA? -

Dario Amodei warns about AI exponential in candid essay
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Dario Amodei just published an unusually candid essay about where AI is heading. The tl;dr with quotes. His new piece, Policy on the AI Exponential, reads more like a warning from the person building the thing. The core problem is timing. AI moves on an exponential. He is very
