Adithya is putting his work where his heart is. If you believe in open research and open AI, join a company that actually lives those values, not a closed-source, revenue-maximizing one!
RESEARCH
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Sabi Launches EEG Beanie With 100K Sensors for Thought Typing
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A startup called Sabi just came out of stealth with a beanie that reads your thoughts.
— The Rundown AI (@TheRundownAI) 16 avril 2026
70,000 to 100,000 miniature EEG sensors woven into the fabric. You put it on like a winter hat and type by imagining the words.
Sabi's bet is that if you throw enough sensors at the skull,… pic.twitter.com/pfcV8QosFhA startup called Sabi just came out of stealth with a beanie that reads your thoughts. 70,000 to 100,000 miniature EEG sensors woven into the fabric. You put it on like a winter hat and type by imagining the words. Sabi's bet is that if you throw enough sensors at the skull,
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From Idea to Execution: Why Implementation Matters Most
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There needs to be a movie about this. Most people are under the impression that the idea/prototype is the hard part when it is 1% of the problem. For example, the IDEA of going to the Moon is trivial, actually DOING IT is the hard part!
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AI Expands Drug Development Paths and Methods
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The marked expansion of paths and methods for new drug development including and beyond AI @Joseph_C_Wu @james_y_zou @WuXuekun @ScienceMagazine https://
science.org/doi/10.1126/sc
ience.aeb0045
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MERRIN: Multimodal Evidence Retrieval Benchmark for Web Environments
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MERRIN A Benchmark for Multimodal Evidence Retrieval and Reasoning in Noisy Web Environments paper: https://
huggingface.co/papers/2604.13
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AI Usage Surges 44% Despite Efficiency Gains: Jevons Effect
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Overall AI usage increased 44% over the eight-month study period, consistent with a Jevons-like effect, where efficiency gains increase total consumption rather than reducing it.
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Developer Adoption Lag: How AI Models Drive Task Complexity Shifts
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The shift to harder tasks wasn't immediate. Developers first used better models to do more work of similar complexity. Only after a 4-6 week lag did they start tackling more ambitious problems.
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AI Models Drive 68% Increase in Developer Task Complexity
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We partnered with University of Chicago economist @SuproteemSarkar to study how more capable models have changed the way people use Cursor. Across 500 teams, we find that developers are tackling more ambitious work with AI, with a 68% increase in high-complexity tasks this year.
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Claude Opus 4.7 Launches on Databricks with Enhanced Reasoning
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@AnthropicAI
's Claude Opus 4.7 just landed on Databricks! Opus 4.7 represents the next generation of enterprise reasoning. On Databricks' OfficeQA Pro benchmark, it demonstrates meaningfully stronger document reasoning, with 21% fewer errors than Opus 4.6 when using source -
MRCR Evaluation Method Replaced by GraphWalks Approach
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MRCR is a bad eval, we use GraphWalks now. More info here: