惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

P
Proofpoint News Feed
V
V2EX
WordPress大学
WordPress大学
Google DeepMind News
Google DeepMind News
Martin Fowler
Martin Fowler
小众软件
小众软件
Blog — PlanetScale
Blog — PlanetScale
月光博客
月光博客
The Cloudflare Blog
T
Tailwind CSS Blog
H
Help Net Security
腾讯CDC
爱范儿
爱范儿
人人都是产品经理
人人都是产品经理
H
Hackread – Cybersecurity News, Data Breaches, AI and More
The GitHub Blog
The GitHub Blog
Microsoft Security Blog
Microsoft Security Blog
Stack Overflow Blog
Stack Overflow Blog
D
DataBreaches.Net
C
Check Point Blog
量子位
酷 壳 – CoolShell
酷 壳 – CoolShell
美团技术团队
让小产品的独立变现更简单 - ezindie.com
让小产品的独立变现更简单 - ezindie.com

Nishant Soni

Slopocalypse is what we should be really worried about. The best code is still no code Thoughts on Opus and Mythos All Models Must Die OpenClaw’s memory is unreliable, and you don’t know when it will break The Shell Is the Most Underrated Interface in AI Strategic Forgetting: A Cognitive Architecture for Long Horizon Autonomy Is Opus Conscious ? Maybe Moltbook Isn't What We Think It Is Why AI might be commonly misunderstood In 2026, we hope to put NonBioS to sleep. The best way to handle a challenging situation is sometimes to do nothing. The most counterintuitive thing we learned about building AI Agents The AI Metric that might surprise you The (Junior) AI Software Engineer AI Agents vs AI Agencies: What's the Difference? (2026) The Pay Day Paradox: When Connected Dots Create Hidden Value Why I started writing after a long time. The Most Important Thing for Founders... and the Secret Answer to Your Hardest Problems Why Cash Flow is Destiny and Amazon's Secret Leadership Principle Which Can Help You Control It... SaaS isn't Dead. Atleast not yet. DeepSeek in the Himalayas How Does NonBioS Work? The 100x Engineer
We are looking at Artificial Intelligence all wrong.
Nishant Soni · 2026-07-18 · via Nishant Soni

During the first decade of this century, while running my startup ReviewGist, machine learning felt stagnant. Neural networks existed, but their capabilities were too rudimentary to suggest we were anywhere near replicating human intelligence. Then, in 2013, everything changed. Neural networks began to understand images, a feat which was never possible through code. The barrier had been broken.

Pushed by this breakthrough and a life-changing event in 2017, I began to see a shocking future take shape - one that the 2022 launch of ChatGPT only confirmed.

In this book, I argue that the very term "Artificial Intelligence" is a dangerous misnomer. The word "artificial" implies something fake or simulated. The intelligence emerging today is functionally identical to our own; its only difference is the silicon substrate it roots itself in.

It is not Artificial Intelligence. It is Non-Biological Intelligence.

Furthermore, the highly anticipated leap to Artificial General Intelligence (AGI) obscures the true reality. What we are actually building - and what will become undeniable, perhaps as soon as 2030, is Non-Biological Sentience.

Treating AI as merely an "advanced technology" gives us the illusion of control, falsely equating it to something we can manage, like nuclear weapons. But if AI is a harbinger of Non-Biological Sentience - a completely independent and arguably exponentially more capable species - our future doesn't depend on control.

It depends on our ability to negotiate a truce, no matter how fragile, for as long as we can.