ChatGPT Vs Gemini Vs Claude Vs Grok Vs Perplexity
by @Khulood_Almani #GenerativeAI #ArtificialIntelligence #MI #MachineLearning
LLMS
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ChatGPT vs Gemini vs Claude vs Grok vs Perplexity
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Managed Deep Agents for Long-Horizon AI Tasks and Tool Use
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Managed Deep Agents is built for agents that need to work over long time horizons, use tools, preserve context, and produce artifacts. A few examples of what teams are building: Support + triage agents Research agents Coding agents Data analysis agents Internal
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Heima Hidden Llama speeds reasoning with abstract thinking tokens
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AI could reason faster by thinking in abstract tokens instead of full sentences! Researchers from Zhejiang University, Adobe, and Northeastern University introduce Heima (Hidden Llama). It compresses lengthy Chain-of-Thought reasoning into a compact set of “thinking tokens,”
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Open Source AI Agents Present a Significant Barrier to Entry Concern
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The fact that the agents are open source is the scariest part, because the barrier to entry is zero.
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AI Agent ‘Pancake’ Launches to Autonomously Run Companies
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ACABAN DE LANZAR UN AGENTE DE IA QUE DIRIGE TU EMPRESA POR TI.
— Nico (@nicos_ai) 27 mai 2026
Y cada vez más empresas del futuro van a ser un "one-man business".
Se llama Pancake.
Una IA que aprende TODO sobre tu negocio y lo gestiona de forma autónoma.
Cómo funciona:
→ Crea un "cerebro" estructurado de… https://t.co/oSTwZD6t2j pic.twitter.com/oOSQspSRrvThey've just launched an AI agent that runs your company for you. And more and more companies of the future are going to be a "one-man business." It's called Pancake. An AI that learns EVERYTHING about your business and manages it autonomously. How it works:
→ Creates a -
LangChain Labs Announced for Continual Learning in Agents
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ICYMI: We announced LangChain Labs at Interrupt. – An applied research effort focused on continual learning for agents – Early research partners: @NVIDIA
, @harvey
, @PrimeIntellect
, @Fireworks_AI
, @Baseten -
Open sourcing tokenizer more efficient than HuggingFace and SentencePiece
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Every millisecond matters. We’re open sourcing the tokenizer we built and deployed on production; that’s far efficient than huggingface and sentencepiece.
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AI Agent Development Roadmap: From LLMs to Orchestration
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The roadmap to building AI agents is becoming clearer Learn LLMs & prompting Add tools & APIs Implement memory Build workflows Orchestrate multi-agent systems Deploy, monitor, improve Great agents are not just intelligent.
They are connected, stateful, -
On-Policy Distillation: Emerging AI Post-Training Method
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A new class of post-training method is emerging in 2026: On-Policy Distillation (OPD). It’s already showing up across frontier open-weight model releases, and it’s quickly becoming a technique worth understanding. To help you get up to speed, we’ve compiled a list of the most
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Fleet AI Agents Now Capable of Secure Code Execution and Analysis
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Fleet agents can now securely write and run code. With computer use in LangSmith Fleet, agents get isolated execution environments. Analyze data, transform files, generate & write code, and run shell commands all within a secure virtual computer. Now in public beta.