Recursive reasoning beats multi-billion-parameter models You can now easily train your own 7M param model from scratch and outperform DeepSeek-r1 on ARC-AGI 1 We provide a simple speedrun script that handles setup, training, and eval in one go.
MACHINE LEARNING
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Open-source AI paper implementation with pretrained weights released
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Checkout our adaptation of @jm_alexia
's work here: https://
github.com/alphaXiv/paper
-implementations
… We also provide pretrained weights for Sudoku, Maze, and ARC-AGI for easy evaluation! -
The Future of Finance: Rethinking Everything in the Age of AI
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The Future of Finance: Rethinking Everything in the Age of AI
#AI #AIio #AIInnovation #ML #DataScience #Futureofwork @timnitgebru @oriolvinyalsml @ceobillionaire @soumithchintala @waitin4agi_ @sallyeaves @bernardmarr -
Pairwise Annotations: Preferences Over Scores for Agent Evaluation
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⚖️ Pairwise Annotations: Scores are hard, preferences are easy.
— LangChain (@LangChain) 17 décembre 2025
Agents handle tasks that are tough to score but easy to compare: support responses where tone matters, code refactors where both work but one feels cleaner, product specs where "good" is subjective.
In practice,… pic.twitter.com/SEvnmXTEcZPairwise Annotations: Scores are hard, preferences are easy. Agents handle tasks that are tough to score but easy to compare: support responses where tone matters, code refactors where both work but one feels cleaner, product specs where "good" is subjective. In practice,
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Google’s Scaling Laws for Multi-Agent AI Systems
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Google’s "scaling law" for building agentic systems This paper shows when adding more AI agents helps.. and when it backfires They empirically measured coordination costs, error propagation, and task structure, grounding multi-agent design from heuristics into predictive rules
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Predictive Maintenance Architecture for Smart Manufacturing
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Predictive maintenance isn’t magic.
It’s architecture.
High-res streams, context, and anomaly detection working together before your operators ever touch a dashboard.
That’s the shift manufacturers are finally making. https://
buff.ly/cwFnHQi #sponsored #influxdata_iiot #InfluxDB -
Gemini launches fast new model; list already knew
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Good morning. Gemini has a good new model out that's fast. But you already knew that if you had this list up and running:
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Google CEO: No Company Immune to AI Impact
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Good News For Consultants. Google CEO: No Company Is Immune To AI
#AI #AIio #AIInnovation #ML #DataScience #Futureofwork @demishassabis @Ronald_vanLoon @TamaraMcCleary @geoffreyhinton @goodfellow_ian @jeffdean @erikbryn -
Existential Problems in LLM Serving and Autoregressive Inference
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The Existential Problems in LLM Serving Naive Transformers might be fine for lab experiments – but they don’t hold up in production. The real challenge lies in Autoregressive Inference, where performance bottlenecks can cripple even the most powerful GPUs.
If you’ve ever seen -
LLaVA-UHD v3 Halves Processing Time With Progressive Visual Compression
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Ever wonder why AI vision models are so slow? This research shows the quest for high-resolution image understanding creates a major speed bottleneck. The solution, LLaVA-UHD v3, uses a clever "Progressive Visual Compression" method to cut processing time by over half while