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Federicopereiro (auto-discovered)

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09:28
2026-08-14
federicopereiro.com
generative-ai

Four layers of crutches

A commentator reflects on the four layers of cognitive crutches—language, writing, computers, and generative AI—noting that each layer offloads memory and processing, and that AI introduces probabilis…

11:12
2026-07-10
federicopereiro.com
artificial-intelligence

Fast legacy

AI accelerates software development so fast that it can produce legacy code—complex, hard-to-understand systems—in weeks rather than years, warns engineer Federico Pereiro. While AI boosts speed and c…

14:58
2026-06-18
federicopereiro.com
artificial-intelligence

Rocket to nowhere

Developer Mario Zechner expresses exhaustion with the AI landscape, calling it pointless. The author argues that AI-generated software feels dead because it lacks a step-wise creation process with fee…

12:01
2026-06-09
federicopereiro.com
large-language-models

LLMs are not an acceptable high level language

Software engineer Federico Pereiro argues that large language models (LLMs) combined with natural language are not an acceptable high-level language for building production software due to their unpre…

14:31
2026-05-27
federicopereiro.com
ai-safety

Security is still a function of the complexity of the system

Security expert Drew Reinig argues that cybersecurity has become a proof-of-work problem, where hardening a system requires spending more tokens on discovering exploits than attackers spend exploiting…

14:18
2026-05-27
federicopereiro.com
artificial-intelligence

What the AI bubble got right

The AI industry is experiencing a speculative bubble with US tech companies spending nearly a trillion dollars annually on AI, yet AI revenues have not reached $100 billion yearly. Despite the bubble,…

13:53
2026-05-27
federicopereiro.com
generative-ai

What generative AI is good at right now

As of late May 2026, generative AI excels at copying, spotting issues, and giving feedback on ideas, but struggles with simplicity and originality, often creating overly complex codebases and failing …