8 Types of #LLMs used in #AIAgents by @ingliguori #GenerativeAI #ArtificialIntelligence #MachineLearning #MI
AGENTS
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Guardian Agent Auto-Review Safety Evaluation in Codex
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auto-review now live in codex — using a guardian agent to evaluate the safety of proposed actions, reducing human approvals to only when they're really needed. https://t.co/B1IhkqBZaL
— Greg Brockman (@gdb) 24 avril 2026auto-review now live in codex — using a guardian agent to evaluate the safety of proposed actions, reducing human approvals to only when they're really needed.
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Sakana AI Fugu Launches Beta API with Recursive Test-Time Scaling
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One of my favorite things about Sakana Fugu is the recursive test-time scaling. When allowed to call itself recursively, it reads its own prior output and spins up corrective workflows on the fly. We are opening up the API for beta testers to try it out: https://
sakana.ai/fugu-beta/ -
Sakana Fugu Beta Launches Multi-Model Orchestration Platform
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We’ve been using Sakana Fugu internally for our own research and coding. Instead of relying on a single model, it dynamically orchestrates the best combination of open and closed models for any task. The future of AI is collective intelligence. Excited to open the beta release:
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Sakana Launches Fugu: Multi-Agent AI Orchestration System Beta
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We’re launching the beta for our new commercial AI product: Sakana Fugu , a multi-agent orchestration system! Blog: https://
sakana.ai/fugu-beta Fugu hits SOTA on SWE-Pro, GPQA-D, and ALE-Bench, and has been our internal secret weapon. It dynamically coordinates frontier models, -
Managing CPU and RAM consumption from AI agents
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My main use for the terminal is to work out what the hell is killing my CPU/ram. It is typically some playwright, heavy chrome tabs, could be computer use and some other random stuff. Agents are not very good in tidying up after themselves.
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Mac Pro Struggling Under AI Agents Computational Demand
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I never particularly cared about the performance of my laptop, but now I'm running my mac pro into the ground with all of these agents. We need so much more powerful compute, this is insane.
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OpenAI’s New Intelligence Class: Real Work and Agents
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看完 OpenAI 这条, 版本号从 5 跳到 5.5, 听起来像小更新。
— 艾略特 (@elliotchen100) 24 avril 2026
但推文里这句话值得反复读几遍:
「a new class of intelligence for real work and powering agents」
用了 real work 和 agents, 没用 chat, 没用 assistant。
列了四个能力:
1. understand complex goals, 理解复杂目标
2. use tools,… https://t.co/fwTx6TvtbRAfter reading this OpenAI post, the version number jumping from 5 to 5.5 sounds like a minor update. But this sentence in the tweet is worth reading over and over:
"a new class of intelligence for real work and powering agents" It uses "real work" and "agents," not "chat," not -
Recursive Self-Improvement Loop: From AutoResearch to AGI
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Recursive self-improvement is not AGI hype. And it’s not just prompt tuning either. Karpathy’s autoresearch ran 700 experiments on a single GPU, improved its own training code, and kept what worked. This loop is already here. I break down how it works, where it fails, and how
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Databricks Partners with OpenAI to Launch GPT-5.5 on Unity AI Gateway
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Databricks is excited to partner with @OpenAI on GPT-5.5, their latest frontier model. GPT-5.5 will be available in Unity AI Gateway on launch. You can use it with coding tools such as Codex, or to power your enterprise agents.
— Databricks (@databricks) 24 avril 2026
GPT-5.5 is state-of-the-art on many benchmarks… pic.twitter.com/UMWUFJgwCVDatabricks is excited to partner with @OpenAI on GPT-5.5, their latest frontier model. GPT-5.5 will be available in Unity AI Gateway on launch. You can use it with coding tools such as Codex, or to power your enterprise agents. GPT-5.5 is state-of-the-art on many benchmarks