LLMs Improving LLMs: Agentic Discovery for Test-Time Scaling Zheng et al.: https://
arxiv.org/abs/2605.08083 #ArtificialIntelligence #DeepLearning #AIAgents
LLMS
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Agentic Discovery for Test-Time Scaling of LLMs
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LLMs Improving LLMs: New Research on Agentic Discovery and Scaling
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LLMs Improving LLMs: Agentic Discovery for Test-Time Scaling Zheng et al.: https://
arxiv.org/abs/2605.08083 #ArtificialIntelligence #DeepLearning #AIAgents -
Proposed smartphone hardware with dedicated Claude AI access button
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Anthropic phone with a button to call Claude
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Anthropic overtakes OpenAI in business adoption, quadrupling usage
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Holy: Anthropic just overtook OpenAI in business adoption for the first time. According to new Ramp AI Index data, 34.4% of businesses now use Anthropic, compared to 32.3% using OpenAI. The more interesting part: Anthropic’s adoption quadrupled (!) over the last year.
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OpenAI Begins Internal Testing of GPT-5.6 Model
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https://t.co/lxcgRqeVas pic.twitter.com/MLeGYsUxST
— Bojan Tunguz (@tunguz) 13 mai 2026SCOOP: The development cycle for GPT-5.6 is now in full swing at OpenAI. The first checkpoints of the model began testing internally over the last few days, with a release likely next month. x.com/synthwavedd/st…
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AI for Collaborative System Design, Paper Analysis, and Fact-Checking
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more demos on Interaction Models collaboratively doing system design, reading papers, fact-checking with live generative UI https://t.co/OsbFWIIKAh
— Soumith Chintala (@soumithchintala) 13 mai 2026more demos on Interaction Models collaboratively doing system design, reading papers, fact-checking with live generative UI
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Questioning AI Generalization: Beyond Autonomous Operation
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The problem is that is the wrong question. I am sure they are running autonomously. The question is when will they be generalized. Able to do a new unexpected task?
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Claude Code Integration for AI-Driven Lifecycle Management
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Your team uses Claude Code. Inside Domino, it doesn't stop at code. It runs jobs, tracks experiments, registers models and writes to the audit trail. Same agent. Whole lifecycle. 30 seconds: https://
hubs.ly/Q04gppSL0
Blog: https://
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Optimizing Infrastructure for Agentic AI Inference
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Delivering agentic inference at scale requires balancing efficiency across:
— NVIDIA AI (@NVIDIAAI) 13 mai 2026
1) Models and algorithms
2) Software
3) Compute
Our full-stack platform continuously optimizes for these inputs using extreme co-design across compute, networking, storage, and memory. Plus, software… pic.twitter.com/rzoF9wyF1NDelivering agentic inference at scale requires balancing efficiency across: 1) Models and algorithms
2) Software 3) Compute Our full-stack platform continuously optimizes for these inputs using extreme co-design across compute, networking, storage, and memory. Plus, software -
Perplexity is building a secure agent runtime sandbox
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Perplexity is building one of the most secure scalable agent runtime sandboxes in the market right now. A blog post on how we: 1. Handle proxy API keys for agents securely 2. Run safety detection for all content accessed by agents 3. Encrypt data passed via connectors to