The Logic and Learning group at the University of Helsinki is recruiting a postdoc to work on cracking the ARC-AGI-3 challenge via Inductive Logic Programming methods. You'd work under the supervision of Prof. Andrew Cropper. Apply by February 5, 2026 — link in next tweet!
MACHINE LEARNING
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Why AI Isn’t Delivering Expected Value
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Why AI Isn't Delivering The Value You Expected
#AI #AIio #AIInnovation #ML #DataScience #Futureofwork @demishassabis @Ronald_vanLoon @TamaraMcCleary @geoffreyhinton @goodfellow_ian @jeffdean @erikbryn -
Vibe Coding Eases Attention Demands of Manual Programming
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This is so true. Programming "by hand" is a *VERY* attention demanding and attention-to-the-details kind of endeavor. It is almost impossible to do right if you are stretched with other obligations in life. Vibe coding changes that.
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SAS Fraud Detection Powers Insurance Group Gjensidige Baltics
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Fraud is always changing and adapting. To detect it, it's essential that fraud prevention adapts alongside it. SAS helps insurance group, Gjensidige Baltics, do just that. See how lives are changing for millions of customers http://
2.sas.com/6015CotMB #SAS #Insurance #Fraud -
Spurious Rewards Testing Implementation on Qwen-2.5 1.5B
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We provide an implementation to test spurious rewards out on Qwen-2.5 1.5B. Check it out here!
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Qwen excels at RL finetuning with random rewards
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Qwen is hands-down the best model for RL finetuning Turns out you can even tune it with random rewards and it *still* improves. Paper shows it's not magic, pre-trained code reasoning patterns are uncovered with RLVR We provide hassle-free bash scripts to reproduce this below!
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Alibaba’s Learnable RL Policy for LLM Context Management
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This new paper from Alibaba Group makes context management into a learnable RL policy So the agent is capable of deciding when to store, update, or delete long-term info and when to retrieve, summarize, and filter short-term context bringing a fresh new way to tackle LLMs used
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AWS Model 100x Smaller Outperforms GPT and Claude on Tool Calling
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Everyone is sleeping on this new paper from AWS. A model 100x smaller than GPT and Claude crushed them on tool calling. AWS researchers took Facebook's OPT-350M, a model from 2022 with 500x fewer parameters than GPT, and fine-tuned it on ToolBench for a single epoch. The
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NEPA: Training Vision Models Like Language Models
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What if training AI to see was more like training it to talk? Researchers from U. Michigan, NYU, Princeton & U. Virginia present NEPA. Instead of reconstructing pixels or using contrastive loss, they train a vision model to predict the next embedding in a sequence, like
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AI will decrease headcount but create new job roles
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Headcounts will definitely decrease in existing job roles. But new job roles will emerge.