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victor
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victor
@spaceblob
cs major. swe. open source advocate.
Lagos, Nigeria Katılım Aralık 2021
75 Takip Edilen41 Takipçiler

@_hashcode @baysemarkets Tried, but the API docs aren't up to date (seems so). Can't place orders.
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built this to solve a problem that's only gotten worse with the rise of ai code slop.
macrozero. an agentic review tool. open source. free to use.
@dev_careers @RaenestApp
#RaenestXDevCareer
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What Python was doing for C++ in ML, English is now doing it for Python.
It’s just continuous layers of abstraction for simplicity. Now you can run the entire code with a simple prompt in English 😊
lyv ⌘@wholyv
What if C++ was used for machine learning instead of Python. given C++ evolved to allow that. I wonder how faster, our AI models would be these days.
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In business classrooms and boardrooms, we romanticize first-mover advantage. We assume that whoever starts first will finish first. But history, when examined over the long horizon, teaches a different lesson: what truly matters is first-scaler advantage. It is not the company that invents the category that wins; it is the one that builds the capability, resilience, and trust architecture to scale it. And today, OpenAI appears to be scoring an own-goal at precisely the moment when discipline in scaling matters most.
Remember this: before the iPod, there was the Walkman. Before the iPhone, there was BlackBerry. Before the Apple Watch, there was Pebble. Yet Apple Inc. won those categories because it mastered integration, distribution, ecosystem control, and emotional branding. It did not merely enter markets; it scaled them. Being first gave others visibility. Scaling gave Apple dominance. That distinction explains everything.
OpenAI started first and was winning. ChatGPT had everything a brand could want: first-mover advantage, hundreds of millions of users, cultural relevance, and a mission that made people feel good about adoption. But as the season of scaling begins, it seems to be punting its lead. If it mishandles this phase, it could find itself in real trouble. Scaling is not just about infrastructure and enterprise deals; it is about protecting the intangible asset called trust.
One decision at a time, that trust narrative appears to have weakened. The pivot from nonprofit ideals toward profit maximization unsettled early believers. The introduction of ads after signaling there would be none created cognitive dissonance. A rushed Pentagon deal which has introduced perception risk. These are not engineering issues; they are signaling issues. And markets price signals.
Meanwhile, Claude, built by Anthropic, quietly pursued a different scaling philosophy. It said no to ads, and to defense contracts that conflicted with its positioning. Last weekend, it overtook ChatGPT as the most downloaded app in the U.S. App Store. That is not merely an app-store metric; it is a market signal. Users reward alignment between promise and posture.
Good People, this is a trust story. And trust compounds or decays during the scaling phase. First movers capture attention. First scalers capture markets. If OpenAI forgets that scaling is as much about institutional coherence as product capability, it may discover that being first was never the true advantage. The advantage was always the discipline to scale without breaking the covenant with the market tekedia.com/openai-revises…

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