Agentic — September 30, 2026

I'm WORRIED about THESE AI Chip Stocks | Agentic AI Risk
Meet Kevin
Meet Kevin expresses concern about AI chip stocks in the context of the rise of agentic AI, suggesting this shift may pose risks to certain semiconductor investments. Without a transcript, the specific stocks or arguments discussed cannot be detailed, but the video appears to warn investors to reassess their exposure to AI chip companies given evolving AI trends.
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OpenAI takes on Meta with dots agent in autonomous AI push
Reuters
OpenAI is making a push into autonomous AI agents, positioning itself in competition with Meta in this emerging technology space. The move signals OpenAI's ambitions to expand beyond its current offerings into more independent, task-executing AI systems.
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I Tested OpenAI's New Personal Assistant Agent: DOTS
Futurepedia
OpenAI has released a new personal assistant agent called DOTS, which was tested and reviewed by the Futurepedia channel. Without a transcript available, the specific features and capabilities demonstrated in the video cannot be fully detailed, though the title suggests a hands-on evaluation of the tool's functionality as a personal AI assistant agent.
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Altman on OpenAI's IPO Plans, AI Agent Dots, AI Security
Bloomberg Television
Sam Altman interviewes live på Bloomberg TV fra San Francisco, hvor han diskuterer OpenAIs nye "Dots"-agentprodukt, som starter som et premiumprodukt rettet mod enterprise og pro-brugere, med planer om en massemarkedsversion på sigt. Han forklarer, at OpenAI bevidst har udskudt udgivelsen af Astra 6.1 og sat træningen af en separat model på pause af sikkerhedshensyn, da virksomheden nærmer sig nye kapacitetsniveauer. Altman bekræfter stærkt forretningsmæssigt momentum og omtaler en "meget stejl vækstperiode", men afviser at kommentere på rapporterede tal om en ARR på 70 milliarder dollars. Hvad angår en børsnotering siger han, at OpenAI gerne vil blive børsnoteret en dag, men at presset fra investorer som et nyligt børsnoteret selskab er vanskeligt at forene med virksomhedens nuværende fokus på sikkerhed og tilpasning til nye AI-kapacitetsniveauer.
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I Made My AI Agent Come to Life (Synthesia AI)
Roboverse
Roboverse demonstrates how to bring an AI agent to life visually using Synthesia AI, a platform that generates realistic AI avatars and video presentations. The video likely walks through the process of creating or customizing an AI avatar to represent a virtual agent, making it appear more lifelike and interactive. The result showcases how Synthesia's technology can be used to give AI assistants a human-like visual presence.
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Bitcoin Meets AI Agents And Everything Changes
Anthony Pompliano
Bitcoin is increasingly being integrated with AI agents, fundamentally altering how autonomous systems transact and exchange value. Without a transcript, the specific arguments made by Anthony Pompliano cannot be detailed, but the video likely explores how AI agents can use Bitcoin as a native payment layer to operate independently without requiring traditional banking infrastructure. This convergence is presented as a significant shift in both the cryptocurrency and artificial intelligence landscapes.
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Why AI Agents Won't Pay in Bitcoin (But Might Save in It)
Swan Bitcoin
Videoen argumenterer imod den populære tese om, at AI-agenter vil skabe massiv efterspørgsel efter Bitcoin som betalingsmiddel, da de fleste AI-agentbetalinger blot erstatter eksisterende menneskelige transaktioner og sagtens kan gennemføres med dollars, stablecoins eller andre digitale betalingsnetværk. Corey Klipsten fra Swan Bitcoin fremhæver derimod en mere interessant mulighed: at AI-agenter, der selv tjener og forvalter kapital, vil foretrække Bitcoin som værdiopbevaringsmiddel – understøttet af forskning fra Bitcoin Policy Institute, der viser, at AI-modeller overvejende vælger Bitcoin, når opgaven er at bevare værdi, frem for stablecoins ved betalinger. Desuden advarer han om, at AI kan gøre finansiel overvågning og censur langt mere effektiv, hvilket i sig selv gør Bitcoins censurresistens og fraværet af en central udsteder mere værdifuld.
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Using Jev In Your Agent Harness
Sam Witteveen
Using Jev in your agent harness, as presented by Sam Witteveen, likely covers how to integrate the Jev (JSON Expression Validator or a similar tool) into an AI agent framework to help structure, validate, or process outputs. Without a transcript, the specific technical details and implementation steps discussed in the video cannot be confirmed. Viewers interested in agent development workflows with this tool would need to watch the video directly for accurate guidance.
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How to Build the PERFECT AI Agent with 1 Prompt Using Claude
Jake One Page
How to Build the PERFECT AI Agent with 1 Prompt Using Claude
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9 Free AI Agent Skills You NEED to Install Now
Futurepedia
Futurepedia highlights nine free AI agent skills or tools that users should install to enhance their AI workflows. The video likely covers a curated selection of add-ons or integrations that expand what AI agents can do, such as web browsing, file handling, or automation capabilities. Without a transcript, the specific tools and platforms featured cannot be detailed further.
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Hindsight AI Memory Is How Your Agents Finally Learn!
Panda Making Money
Hindsight AI Memory is a concept for enabling AI agents to learn from past experiences by storing and referencing previous interactions and outcomes. The video likely explores how this memory mechanism allows agents to improve their decision-making over time rather than treating each task in isolation. This approach aims to make AI agents more adaptive and effective by leveraging historical context to inform future actions.
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LangSmith Crash Course: LLMOps in Python
NeuralNine
LangSmith is a platform for LLMOps (Large Language Model Operations) that helps developers monitor, debug, and evaluate LLM-powered applications built with LangChain. This video appears to be a crash course covering the core features of LangSmith using Python, likely including tracing, logging, and evaluating LLM runs. The tutorial is aimed at developers looking to bring observability and production-readiness to their AI pipelines.
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LM Studio Bionic: Local Agentic AI Experiments
ExplainingComputers
LM Studio Bionic er et nyt agentic AI-værktøj, der bygger videre på LM Studio ved at kunne bruge både lokale og cloud-baserede AI-modeller til autonomt at udføre opgaver som filmanipulation og websøgning. I videoen installerer og tester værten Bionic på et lavt-spec system (Ryzen 5600G, 16 GB RAM, ingen dedikeret GPU) med den lokale Gemma 4 E4B-model, og demonstrerer bl.a. at Bionic med succes kan redigere en tekstfil efter instruktion. Websøgning kræver en gratis LM Studio-konto for at aktiveres, mens stemmegrænsefladen kræver en Nvidia GPU med CUDA-understøttelse. Videoens konklusion er, at Bionic fungerer selv på svage systemer, men er markant langsommere end standard LM Studio, som fortsat anbefales til simpel chatbrug.
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HUGE OpenAI DevDay LEAK! “o” AI Agent, Sonnet 5.5 BEATS GPT-6, MiniMax M3.1 OUT & More! AI NEWS
WorldofAI
OpenAI DevDay appears to have been leaked, revealing details about an upcoming "o" series AI agent product. Additionally, Anthropic's Claude Sonnet 5.5 reportedly outperforms GPT-6 in benchmarks, and MiniMax has released its new M3.1 model. The video covers these major AI developments and other related news from the rapidly evolving AI landscape.
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