But the model hasn't done any thinking for me when i turn off adaptive thinking
RESEARCH
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AI Bottlenecks: Models, Data, or Infrastructure Challenge
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From the @aiDotEngineer London conference floor, we asked a simple question… what’s holding your AI back right now: models or data or infra?
— Snorkel AI (@SnorkelAI) 16 avril 2026
Here’s what @GoogleDeepMind's Cassidy Hardin had to say. pic.twitter.com/KL4IdQSBBHFrom the @aiDotEngineer London conference floor, we asked a simple question… what’s holding your AI back right now: models or data or infra? Here’s what @GoogleDeepMind
's Cassidy Hardin had to say. -
CAR-T therapy evolves to CAR-A for neurodegenerative diseases
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On the plus side with Opus 4.7, if it does decide to think it produces BY FAR the best Sparks unicorn* ever, even non-thinking is pretty good, if not great. * This is created using TikZ, which is a language built for scientific diagrams & very much not for drawing. The original
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AI Neats vs Scruffies: Reconsidering Research Paradigms
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In the battle between the AI neats and scruffies, even the scruffies turned out to be too neat.
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Databricks Named to Forbes AI50 Most Innovative Companies
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Databricks has been named to @Forbes' #AI50 — a list celebrating the most innovative private AI companies turning ideas into real impact.
— Databricks (@databricks) 16 avril 2026
We're proud to be building the platform where the world's most ambitious teams are redefining what's possible with data and AI, and grateful… pic.twitter.com/l3qQ0Tu96uDatabricks has been named to @Forbes
' #AI50 — a list celebrating the most innovative private AI companies turning ideas into real impact. We're proud to be building the platform where the world's most ambitious teams are redefining what's possible with data and AI, and grateful -
Improving Physical Reasoning in Large Language Models
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I included this in my newsletter AI Lab this week. It's a brilliant idea and an exciting new way to improve the physical reasoning of LLMs. [From my dispatch…] AI models’ knowledge of the physical world is typically limited by the fact that they learn only by reading text. The… https://t.co/nQjSGXIKsl
— Will Knight (@willknight) 16 avril 2026I included this in my newsletter AI Lab this week. It's a brilliant idea and an exciting new way to improve the physical reasoning of LLMs. [From my dispatch…] AI models’ knowledge of the physical world is typically limited by the fact that they learn only by reading text. The
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AI Engineering Astrocytes to Clear Amyloid Plaque in Mouse Model
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It is not well-explained, but with the adaptive switch off, I get no thinking. I can set thinking levels in Claude Code, but not in Claude Cowork. AI companies keep seeming to assume that coding/technical work is the only kind of important intellectual work out there (it is not)
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OpenAI Releases GPT-Rosalind for Life Sciences Research
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OpenAI released GPT-Rosalind today, a frontier reasoning model purpose-built for life sciences research, available in trusted-access preview to customers like Amgen, Moderna, and the Allen Institute.
— Chubby♨️ (@kimmonismus) 16 avril 2026
On the benchmarks, it's competent rather than revolutionary, leading on… https://t.co/BL9RnVlJ2ZOpenAI released GPT-Rosalind today, a frontier reasoning model purpose-built for life sciences research, available in trusted-access preview to customers like Amgen, Moderna, and the Allen Institute. On the benchmarks, it's competent rather than revolutionary, leading on
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Human Scientists Outperform Best AI Agents on Complex Tasks
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Human scientists trounce the best #AIAgents on complex tasks
by Nicola Jones @Nature Learn more: https://
bit.ly/4vNPzmv #GenerativeAI #ArtificialIntelligence #MachineLearning #ML -
New MedVersa Paper on AI Generalist for Medical Images Published
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I think the adaptive thinking requirement in Claude Opus 4.7 is bad in the ways that all AI effort routers are bad, but magnified by the fact that there is no manual override like in ChatGPT. It regularly decides that non-math/code stuff is "low effort" & produces worse results.