AI Is Ready, Your Workforce Isn't: Why AI ROI Falls Short gartner.com/en/podcasts/thin… #ArtificialIntelligence #MachineLearning #DataPlatform [Translated from EN to English]
→ View original post on X — @craigbrownphd, 2026-03-19 20:41 UTC

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AI Is Ready, Your Workforce Isn't: Why AI ROI Falls Short gartner.com/en/podcasts/thin… #ArtificialIntelligence #MachineLearning #DataPlatform [Translated from EN to English]
→ View original post on X — @craigbrownphd, 2026-03-19 20:41 UTC

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slap an api on this for our agents

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RTX PRO for sure, the below is relevant as to why Unified Memory isn’t ideal for concurrency/multi-agents

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Jeff Bezos is preparing one of the biggest industrial bets of the decade. $100 billion. A fund to acquire manufacturing companies and transform them with AI. According to the Wall Street Journal, Bezos has already met with sovereign wealth funds in the Middle East and Singapore to raise this colossal amount. Targeted sectors: semiconductors, defense, aerospace. The project is called "Project Prometheus" — a startup of which Bezos is co-CEO, dedicated to applying generative AI to engineering and industrial production. It has already raised $6.2 billion by end of 2025. And on the board? David Limp, the CEO of Blue Origin. What you need to understand: – So far, the AI race has been playing out in software. Chatbots, image generation, code. – Bezos just moved the playing field into the physical world. – We're talking about reinventing how we manufacture chips, aircraft, cars. With AI as the engine. AI won't just change what we see on our screens. It will change what we build with our hands. And Bezos just put $100 billion on this conviction. The Wall Street Journal (@WSJ) Breaking: Jeff Bezos is in talks to raise $100 billion for a new fund that would buy manufacturing companies and use AI to automate them wsj.com/tech/jeff-bezos-aims… — https://nitter.net/WSJ/status/2034706038448881849#m [Translated from EN to English]
→ View original post on X — @flashtweet, 2026-03-19 20:34 UTC
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and see the essay that anticipated the chaos: https://
open.substack.com/pub/garymarcus
/p/llms-coding-agents-security-nightmare?utm_campaign=post-expanded-share&utm_medium=web
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https://
garymarcus.substack.com/p/llms-coding-
agents-security-nightmare
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Our crew had a blast at @NVIDIAGTC this week The biggest takeaway? We're delivering exactly what the ecosystem needs: a cutting-edge hardware inference stack built for speed, scalability, and efficiency.
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Full Telegram Assistant
— Abacus.AI (@abacusai) 19 mars 2026
One message → multiple platforms.
Gmail, Slack, GitHub, Notion – all connected.
From updates to executing complex tasks, everything happens in a single chat. pic.twitter.com/2Zl7gLKMzU
Full Telegram Assistant One message → multiple platforms. Gmail, Slack, GitHub, Notion – all connected.
From updates to executing complex tasks, everything happens in a single chat.
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Persistent WhatsApp Agent
— Abacus.AI (@abacusai) 19 mars 2026
The agent remembers.
Preferences, conversations, context – stored and updated after every interaction.
It improves over time. pic.twitter.com/XuFV5uXzqJ
Persistent WhatsApp Agent The agent remembers. Preferences, conversations, context – stored and updated after every interaction.
It improves over time.