I am not kidding, now is the time more than ever to hunt an RTX 3090 and learn how to run Qwen 3.5 27B
AI
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AI ethics shifts toward fair transparent systems building trust
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The conversation around ethics in AI can indeed feel like control. But the real shift is toward creating fair, transparent systems that build trust across stakeholders. It's not just about limitations, but ensuring AI serves humanity positively.
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How AI Could Blow Up Corporate Hierarchies
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How AI Could Blow Up Corporate Hierarchies #AI is set to reshape #workplace hierarchies by giving individuals the power to do work that once required entire #teams. As AI literacy becomes a source of influence, #businesses will need to rethink status, #management, #promotion and
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Agent Swarms: Build Complex SaaS Apps with One Multi-LLM Prompt
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🚨 Agent Swarms – Build Complex SaaS Apps With One Prompt
— Abacus.AI (@abacusai) 26 juin 2026
Achieve fable like intelligence with a multi-LLM strategy
Combine the best of Opus 4.8, GPT 5.5 and open source models and build end to end software systems
A master agent delegates tasks to worker agent. Each agent has… pic.twitter.com/e9I8d7MxsIAgent Swarms – Build Complex SaaS Apps With One Prompt Achieve fable like intelligence with a multi-LLM strategy Combine the best of Opus 4.8, GPT 5.5 and open source models and build end to end software systems A master agent delegates tasks to worker agent. Each agent has
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PEFT-Arena: Orthogonal Finetuning Achieves Best Retention
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Can fine-tuning make a language model forget too much? A team from CUHK, Westlake University, and MPI presents PEFT-Arena – a benchmark that tracks both task performance and retention of pretrained knowledge. Their analysis finds orthogonal finetuning achieves the best
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Language shapes perceptions, AI integration transforms decision-making
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Shifting the language can indeed shape perceptions, but the core evolution lies in how we integrate AI into decision-making processes.
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Integrating human creativity with AI for adaptable future work
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The shift isn't just about replacing human roles but evolving them. The real question is how we'll integrate human creativity with AI to create new opportunities. The future of work is about adaptability, not just automation
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Gary Marcus criticizes confusion between pure and neurosymbolic LLMs
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people with advanced degrees who can’t distinguish between pure LLMs (which is what I critiqued in 2022) and LLMs enhanced with neurosymbolic techniques (which is what I championed in 2022) disappoint me. i get that many tech bros don’t really get it, but scientists should take
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Neurosymbolic AI surpasses pure LLMs as predicted
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1. pure LLMs did in fact hit a wall and then as i predicted (2022) neurosymbolic AI provided a way past the LLMs; it’s very evident if you look at all the tools, harnesses, loops etc in Codex, Claude Code etc as a scientist i would have expected you to be more attuned to that
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Prediction: Opensource AI mass adoption within less than 18 months
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Prediction Opensource AI mass adoption within less than 18 months