After several rounds of peer-review and subsequent improvements, our paper on learning context-dependent choice functions grew into a full journal paper. It was finally accepted this month 🥳
Shoutout to @prithag1504, Björn Haddenhorst and Eyke Hüllermeier
https://t.co/wLN3PJFWQS
Use Puraite from ChatGPT, Claude or Gemini.
Create projects, search, import and deduplicate records in plain language. Roles, blinding and audit trail stay intact.
Beta is open to first 100 people (FIRST COME FIRST SERVE). Register for early access: https://t.co/EEqnSwrmHv
Doing a systematic review at university? Puraite is free for academic teams. Screening, data extraction and every decision documented in one place, with each extracted value linked back to its source passage. https://t.co/gOzV0h7e9r
@BrandonLuuMD Green tea gargling actually has better evidence. Two meta-analyses (pooling 5-10 studies) found ~25-30% fewer infections. But caveats: 80% of studies are Japanese, some funded by tea companies, all open-label. So still uncertain.
Heading to #ISPOREurope 2025 in Glasgow 🇬🇧
Excited to talk about how explainable AI can speed up and strengthen evidence synthesis.
Let’s connect if you’re exploring AI in evidence generation or HEOR: https://t.co/81qhNN7wKp
Follow the FIDE Women’s World Chess Championship 2025 with our live analysis: https://t.co/CQo9X09cjt.
You saw similar analysis at the WWC 2024! The analysis directly shows win/draw/loss probabilities instead of just centipawns.
@IvanVendrov Spot on! That’s exactly what it feels like to play against our new generation of odds bots.
Odds chess has come a long way! Other chess engines fail because they want to simplify the position to reach a draw. Ignoring the absurd possibility to go for a win.
To those at the edge of their seats watching Claude fumble around in Pokemon:
This is the same Claude handling major refactors in your production codebase…
… sleep well😈
@kimmonismus I agree from a cost-to-benefit standpoint.
The new focus an "hard to measure" metrics such as emotional intelligence is valuable though. I hope there will be more benchmarks in this direction.