This is in ChatGPT, I'm just hypothesising that perhaps it would become feasible to add it to Codex now since the generations are faster – would be nice.
GENERATIVE AI
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CEO speaks candidly about AI impact on employment losses
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https://
wsj.com/tech/ai/the-ce
o-preaching-straight-talk-about-ai-and-job-losses-a3aaaaf1?st=aFnvP5
… via @WSJ -
Multiple AI Agents Leverage Opus Codex GPT Together
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Agent Swarms
— Abacus.AI (@abacusai) 19 avril 2026
Spin up multiple agents that will leverage Opus 4.7, Codex and GPT 5.4!
Agents will work together as a team and get your job done pic.twitter.com/svUQcA3NZxAgent Swarms Spin up multiple agents that will leverage Opus 4.7, Codex and GPT 5.4! Agents will work together as a team and get your job done
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Claude Code: Anthropic’s AI Programming Tool Launch
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That's Claud Code, I'm taking about http://
claude.ai -
ChatGPT Pro Model: 3-4x Faster Generations with Enhanced Quality
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The 'Pro' model in ChatGPT does look like a real upgrade – generations are 3-4x times faster and look at lot better. I wouldn't say it is a giant leap forward, but a material upgrade – generations are richer, with more detail and coherence.
— Peter Gostev (@petergostev) 19 avril 2026
Considering that generations take c.20… https://t.co/GwN98bUf8a pic.twitter.com/AYHtoQRDE4The 'Pro' model in ChatGPT does look like a real upgrade – generations are 3-4x times faster and look at lot better. I wouldn't say it is a giant leap forward, but a material upgrade – generations are richer, with more detail and coherence. Considering that generations take c.20
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AI Engineering: Building Applications with Foundation Models
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AI Engineering — Building Applications with Foundation Models: http://
amzn.to/4aiSv1O by @chipro —
#ML #MachineLearning #DataScience #DataScientist
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𝓣𝓸𝓹𝓲𝓬𝓼:
Understand what AI engineering is and how it differs from traditional machine learning engineering Learn the -
Brand Positioning in AI Search: GEO Debate Explained
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🚨 There is a lot of polarized debate around Generative Engine Optimization (GEO) right now.
— Charly Wargnier (@DataChaz) 19 avril 2026
But cutting through the noise, it all boils down to one simple question for most brands:
Where do you actually stand in AI Search today?
It's great to see @DagenoAI taking a… pic.twitter.com/v5t5VCIFSFThere is a lot of polarized debate around Generative Engine Optimization (GEO) right now. But cutting through the noise, it all boils down to one simple question for most brands: Where do you actually stand in AI Search today? It's great to see @DagenoAI taking a
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Context Engineering for Multi-Agent Systems: Building Transparent Reasoning Architectures
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"Context Engineering for Multi-Agent Systems: Move beyond prompting to build a Context Engine, a transparent architecture of context and reasoning" — at http://
amzn.to/448dSiA v/ @PacktDataML 𝓦𝓱𝓪𝓽 𝓨𝓸𝓾 𝓦𝓲𝓵𝓵 𝓛𝓮𝓪𝓻𝓷:
Develop memory models to retain short-term and -
Building Business-Ready Generative AI Systems with Agents
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"Building Business-Ready Generative #AI Systems — Build Human-Centered Generative AI Systems with Context-Aware Agents, Memory, and LLMs for the Enterprise" at http://
amzn.to/3Jdcio5 v/ @PacktDataML Learn:
Implement an AI controller with a conversation AI agent and
