Blog
Guides for choosing software, improving workflows, and replacing spreadsheet processes carefully.
10/12/2026
A fair 5-year cost comparison of one-time source-code ERP and inventory software against Zoho Inventory, Odoo and NetSuite subscriptions, covering pricing, data ownership, lock-in and where SaaS still wins.
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10/12/2026
Nature's G-Frame uses Bayesian and team-game agents to train OmniChem—ChemJudge hallucinations fall from 41.95% to 12.91% with structured science data.
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10/12/2026
NVIDIA's UNREAL unifies corpus RAG and long-context filtering inside one frozen LLM with under 500K params—higher multi-hop recall, lower cost past 32K tokens.
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10/9/2026
Subscription suites add up fast for small teams. Use this framework to compare one-time source-included business software with SaaS for ERP, CRM, HR, inventory, education, and analytics.
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10/9/2026
MIT researchers show LLMs trained under hardware faults get more resilient as they scale. Here is what that means for energy costs, inference chips, and how teams should think about robustness.
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10/9/2026
A Yale-led study shows large language models organize vectors like role-filler symbols. Here is what that means for debugging, control, and safer interventions in production systems.
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10/8/2026
NVIDIA research finds every tested multimodal model became worse at refusing harmful requests once given tools, with refusal failures up as much as 68.7%. Here is why it happens and what agent builders should change.
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10/8/2026
A new Nature paper shows existing language models can be retrofitted to read raw bytes with under 1% of a pretraining budget, improving character-level skills while staying close to the original models.
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10/7/2026
New October 2026 research shows a training-free rendering layer can cut agent token use by up to 2.5x and halve KV-cache memory without hurting task success. Here is how ReFold works and how to apply it.
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