Career reality check. AI will automate tasks.
It will not replace human judgement, empathy, or leadership. Here are 10 high-paying jobs AI will never replace Because the future belongs to those who do what machines can’t. Read the full list:
AUTOMATION
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10 High-Paying Jobs AI Will Never Replace
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Slack Connector on Manus Transforms Conversations Into Searchable Knowledge
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Is your team’s best knowledge buried in endless Slack threads? 👀
— Futurepedia – Learn to Leverage AI (@futurepedia_io) 2 janvier 2026
Meet the Slack Connector on Manus. It transforms Slack conversations into searchable, actionable knowledge—so insights don’t disappear in the scroll. 👇👇 pic.twitter.com/vAkh0mXi6RIs your team’s best knowledge buried in endless Slack threads? Meet the Slack Connector on Manus. It transforms Slack conversations into searchable, actionable knowledge—so insights don’t disappear in the scroll.
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Skills Addition Roadmap: Explicit Invocation Coming Soon
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you can add skills to the project, however, explicit invocation is not supported yet and is on the roadmap! (deleted my previous post as it was not entirely accurate)
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OpenAI Create-Plan Skill: Automated Planning Operations
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if you want to see how the create-plan skill operates: https://
github.com/openai/skills/
blob/main/skills/.experimental/create-plan/SKILL.md
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The Efficiency Era of AI Models
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The lottery ticket hypothesis wasn't wrong. We just weren't ready for it. In 2025, sparse models are no longer academic curiosities. They're production infrastructure. The future isn't bigger models. It's smarter pruning. Welcome to the efficiency era. Read it here if you
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Transformational AI Model Efficiency Gains
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The deployment implications are massive: – GPT-3 scale models (175B params) → 17.5B params at same accuracy
– Monthly inference costs: $500K → $50K
– Latency: 2 seconds → 200ms
– Memory requirements: 350GB → 35GB This isn't incremental. It's transformational. -
MIT’s 90% Neural Network Deletion Breakthrough Ignored
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MIT proved you can delete 90% of a neural network without losing accuracy. Five years later, nobody implements it. "The Lottery Ticket Hypothesis" just went from academic curiosity to production necessity, and it's about to 10x your inference costs. Here's what changed (and
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Three AI Capabilities: Traditional, Generative, and Agentic AI in 2026
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AI isn’t one thing – it’s three different capabilities. Traditional AI predicts and detects. Generative AI creates and automates. Agentic AI takes action and uses tools. The real shift in 2026?
Agentic AI becomes the operational layer – moving companies from automation -
Why 95% of AI Pilots Fail and How to Succeed
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He publicado un episodio en @ivoox
: "95% de los pilotos de IA fracasan (haz que el tuyo SI funcione) #podcast -
Building AI Integrations with Claude and Notion Automation
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I’m setting up my first-ever notion integrations. I’m communicating errors with Claude through screenshots. I’m debugging servers. Im adding animation gradients. I’m dictating it all through Wispr flow. I am 0% stressed and I’m watching “We Met in December”. Is this real life?