Fun to see Google DeepMind still making the paper headlines 10 years after AlphaGo!!
RESEARCH
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President Lee Discusses AI Safety and Scientific Advancement in Korea
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It was a huge honour to meet with President @Jaemyung_Lee in Seoul. Deeply appreciate and impressed by our thoughtful exchange about AI safety and the importance of using AI to advance science. Korea has a leading part to play in that, and we look forward to working together!
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Cold Agent Routing Failures in Shared Host Networks
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Pay attention to this one, AI devs, especially if you're thinking about agentic commerce or any agent network where many agents share hosts. A correct route to a cold agent is still a failed request from the user's perspective. That's the whole game. This new paper studies
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Two AI perspectives: Legacy models versus frontier model applications
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Karpathy's framing of the AI debate is the cleanest I've seen:
— Satya Mallick (@LearnOpenCV) 28 avril 2026
Two groups. Same industry. Opposite conclusions.
→ Group 1: judged AI on free/old models. Saw the failures. Wrote it off.
→ Group 2: uses frontier models for hard technical work. Progress feels shocking.
But here's… pic.twitter.com/7cEY3CKvSxKarpathy's framing of the AI debate is the cleanest I've seen:
Two groups. Same industry. Opposite conclusions.
→ Group 1: judged AI on free/old models. Saw the failures. Wrote it off.
→ Group 2: uses frontier models for hard technical work. Progress feels shocking.
But here's -
Opus 4.7 Context Window: 400k vs 1m Performance Analysis
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Opus 4.7 – 400k vs 1m context – is there a difference?
— Peter Gostev (@petergostev) 28 avril 2026
I've heard @theo talk about the fact that it is unlikely that Anthropic would have offered up a model with 1m context at the same cost, if it wasn't a different (i.e. cheaper to serve) model.
I did a test where I toggled… pic.twitter.com/tQC4Tn17elOpus 4.7 – 400k vs 1m context – is there a difference? I've heard @theo talk about the fact that it is unlikely that Anthropic would have offered up a model with 1m context at the same cost, if it wasn't a different (i.e. cheaper to serve) model. I did a test where I toggled
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Creating AI Benchmark from Real-World Engineering Problems
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“We can create the best benchmark out there that should dictate model development for the next year,” says @alexgshaw of @LaudeInstitute. The goal: get top engineers to contribute the hardest real-world problems they’ve actually faced in their work.
— Snorkel AI (@SnorkelAI) 28 avril 2026
They’re actively looking for… pic.twitter.com/kIF0PukCAT“We can create the best benchmark out there that should dictate model development for the next year,” says @alexgshaw of @LaudeInstitute
. The goal: get top engineers to contribute the hardest real-world problems they’ve actually faced in their work. They’re actively looking for -
Exponential Technologies: Redefining Humanity and Civilization’s Purpose
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We can’t talk about what it means to be human without confronting the impact of exponential technologies on our society, our economy, our civilization.
— Nina Schick (@NinaDSchick) 28 avril 2026
The question isn’t what we can build—it’s why. What is our mission in this new era?
We need to treat this moment with the… pic.twitter.com/fGbzfExDrYWe can’t talk about what it means to be human without confronting the impact of exponential technologies on our society, our economy, our civilization. The question isn’t what we can build—it’s why. What is our mission in this new era? We need to treat this moment with the
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GTC Live Pregame Show Explores Next Phase of AI Innovation
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Watch the GTC Live Pregame Show where front line innovators predict the next phase of AI:
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Autonomous Geospatial Knowledge Graphs with Agentic AI
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Join @DominoDataLab at #GEOINT2026 for our session on Autonomous Geospatial Knowledge Graph Construction: Leveraging Agentic AI for Conversational Intelligence Monday, May 4 2–3 PM MT Paul Jojy, ML Engineer Add this session to your planner: https://
hubs.ly/Q04dFnPG0 -
Comparing Major AI Disciplines and Their Applications
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Comparing Major #AI Disciplines by @Python_Dv #ArtificialIntelligence #MachineLearning #ML