Google just made AI agents learn from experience like humans do. The new framework is called ReasoningBank. Instead of retraining models, it gives agents a memory layer. Every task run gets distilled into a short strategy card. Successes become playbooks. Failures become
RESEARCH
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Debating AGI Definition: Average Human vs Einstein-Level Intelligence
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What are we defining as AGI @demishassabis @haider1 ? The average human brain? In which case it is no where near Einstein level. Or more going towards super intelligence which would be Einstein and probably more ASI? https://t.co/uzwnEFFp4A
— AI (@DeepLearn007) 30 avril 2026What are we defining as AGI @demishassabis @haider1 ? The average human brain? In which case it is no where near Einstein level. Or more going towards super intelligence which would be Einstein and probably more ASI?
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Google’s Agent Skills Repo Hits 25K Stars on GitHub
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Google's @addyosmani just hit 25k stars on GitHub with his new Agent Skills repo! It launched a few weeks ago, but ICYMI: This ace open-source project brings 19 engineering skills + 7 commands to AI coding agents, all heavily inspired by Google’s best practices Quick
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DeepSeek AI Releases Thinking with Visual Primitives Project and Paper
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Project: https://
github.com/deepseek-ai/Th
inking-with-Visual-Primitives
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Paper: https://
github.com/deepseek-ai/Th
inking-with-Visual-Primitives/blob/main/Thinking_with_Visual_Primitives.pdf
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DeepSeek Releases Visual Primitives Reasoning Framework for Grounded Thinking
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Huge! DeepSeek just released "Thinking with Visual Primitives" It's a reasoning framework that lets models “point” with visual markers (points, bounding boxes) while they think. Instead of describing locations in words, the AI grounds each step of its chain-of-thought directly
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Anthropic Launches BioMysteryBench for AI Bioinformatics Challenges
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Anthropic just dropped a benchmark that should make every scientist pay attention. BioMysteryBench puts AI models through 99 real bioinformatics challenges, using raw, messy datasets from actual research, think unprocessed DNA sequences and clinical samples. However: these
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Baidu Launches ERNIE 5.1 Preview With Efficient Architecture
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ERNIE 5.1 Preview just went live With a lighter, more efficient architecture, it delivers strong performance at its scale. And this is just the start — more ERNIE model updates to come at Baidu Create 2026.
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Vision Banana Unifies Object Detection Segmentation and Depth Estimation
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What if image generators actually understand what they create?
— Satya Mallick (@LearnOpenCV) 30 avril 2026
Vision Banana proves it. One model handles:
→ Object detection
→ Instance segmentation
→ Metric depth from a single photo
→ Surface normal estimation
No specialist models. Beats SAM 3 on multiple segmentation… pic.twitter.com/mFY6lFTDC7What if image generators actually understand what they create? Vision Banana proves it. One model handles:
→ Object detection → Instance segmentation → Metric depth from a single photo → Surface normal estimation No specialist models. Beats SAM 3 on multiple segmentation -
ChatGPT Goblin Persona Origin: Nerdy Reward Signal Analysis
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ICYMI: The origin story of Goblins “the Nerdy personality was only 2.5% of ChatGPT responses but accounted for 66.7% of all “goblin” mentions. In the audit, the Nerdy reward signal preferred goblin/gremlin outputs in 76.2% of datasets.”