This is the part of AI progress that will sneak up on people. Agents grinding away at training code, kernels, architecture tweaks, and benchmarks until they start finding real performance gains. Coding agents are struggling at this, but this breakthrough looks promising.
AGENTS
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New Course on Building Self-Iterating AI Agents for Media Generation
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New course: Build AI agents that generate images and videos — an under-explored frontier. A key to performance is having the agent evaluate its own output, and iterate to improve quality. This short course is built together with @googlecloudtech and taught by Katie Nguyen and… pic.twitter.com/xxuEvZs8HP
— Andrew Ng (@AndrewYNg) 20 mai 2026New course: Build AI agents that generate images and videos — an under-explored frontier. A key to performance is having the agent evaluate its own output, and iterate to improve quality. This short course is built together with @googlecloudtech and taught by Katie Nguyen and
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SambaCloud platform for deploying frontier AI models and agent pipelines
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SambaCloud is SambaNova’s cloud platform for deploying frontier AI models.
— SambaNova (@SambaNovaAI) 20 mai 2026
It runs models like @MiniMax_AI M2.7 at extremely low latency thanks to purpose-built AI hardware—making it a strong option for production agent pipelines where speed is critical.
Start building:… pic.twitter.com/mUYKhx8rMZSambaCloud is SambaNova’s cloud platform for deploying frontier AI models. It runs models like @MiniMax_AI M2.7 at extremely low latency thanks to purpose-built AI hardware—making it a strong option for production agent pipelines where speed is critical. Start building:
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Improving Grok’s reasoning capabilities for agentic tasks
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As Jason mentions, it’s a top priority. Grok was initially trained to give quick answers in chat mode, rather than think hard for as long as needed to get the task right, which is what matters in agentic mode. We are fixing that.
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Google’s Antigravity platform uses AI agents to automate software development
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4/ Antigravity 2.0.
— AI Highlight (@AIHighlight) 20 mai 2026
Google's coding platform. Like Cursor or Claude Code, but built around running many AI agents at once.
In the I/O demo, 93 subagents built a working OS in 12 hours for under $1,000.
Use for: building software. pic.twitter.com/fwGJi9mhpP4/ Antigravity 2.0. Google's coding platform. Like Cursor or Claude Code, but built around running many AI agents at once. In the I/O demo, 93 subagents built a working OS in 12 hours for under $1,000. Use for: building software.
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Spark: A Server-Side Autonomous AI Agent for Task Automation
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3/ Spark.
— AI Highlight (@AIHighlight) 20 mai 2026
A personal AI agent that runs on Google's servers, not your phone.
It keeps working when your phone is locked or your laptop is closed. Plans trips. Manages email. Updates docs while you are away.
Use for: tasks that take hours. pic.twitter.com/Y0Q4gPRPGr3/ Spark. A personal AI agent that runs on Google's servers, not your phone. It keeps working when your phone is locked or your laptop is closed. Plans trips. Manages email. Updates docs while you are away. Use for: tasks that take hours.
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Cohere Releases Open-Source Command A+ Model for Agentic Capabilities
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Releasing open-source under the Apache 2.0 license. We want to give developers direct access to enterprise-grade agentic capabilities from experimentation to production. Sovereign AI. For all. Download Command A+: https://
huggingface.co/CohereLabs/com
mand-a-plus-05-2026-w4a4
… Or learn more: http://
cohere.com/blog/command-a
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Improvements in agentic and multi-step reasoning capabilities
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Smarter: across-the-board improvements for agentic, reasoning and multi-step tasks.
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Command A+ Model Introduces Agentic AI with Efficient Hardware Deployment
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Our fastest, most powerful model yet. Command A+ combines high-performance agentic AI with efficient, practical deployment – running on as few as two H100s.
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Google AI Studio antigravity-preview-05-2026 Agent launched
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ICYMI : Google AI Studio got a new "antigravity-preview-05-2026" Agent! > A general-purpose autonomous agent running in a remote, Google-hosted Linux environment. > This agent can execute code, take real actions, and use a large number of tokens.