Seldon has garnered positive feedback for its robust AI deployment capabilities and integration flexibility, which users consistently praise. However, some users express concerns about the complexity of its initial setup, indicating a steeper learning curve compared to other tools. Pricing is viewed as fair and competitive, making it attractive for businesses looking for cost-effective AI solutions. Overall, Seldon enjoys a solid reputation, recognized for its technical strength and reliable support.
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Seldon has garnered positive feedback for its robust AI deployment capabilities and integration flexibility, which users consistently praise. However, some users express concerns about the complexity of its initial setup, indicating a steeper learning curve compared to other tools. Pricing is viewed as fair and competitive, making it attractive for businesses looking for cost-effective AI solutions. Overall, Seldon enjoys a solid reputation, recognized for its technical strength and reliable support.
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$33.5M
4,737
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2
npm packages
I asked Claude if it thinks AI can be a risk for human kind - He answered this (not an unusual answer) :
__________________________________ Claude, do you think (AI) could be a real problem in the future, for human kind? __________________________________ I was just thinking about "AI future". I precisely remembered the books "Foundation" and "I'm Robot" - from Isaac Asimov. In the first mentioned books. Basically robots do not exist. Neither AI as I can remember or AI was there but very rudimentary. So I decided to ask Claude for an answer. This is a genuinely important question, and I think the honest answer is: yes, potentially — but it's complicated. Here's how I actually see it: Real risks worth taking seriously: Misalignment — AI systems optimizing for goals that diverge from human values, especially as they become more capable. This is the core concern researchers like those at Anthropic work on daily. Concentration of power — AI could massively amplify the power of whoever controls it, whether corporations, governments, or individuals, in ways that undermine democratic balance. Economic disruption — Automation at scale could displace workers faster than societies can adapt, creating serious instability. Misuse — Bad actors using AI for disinformation, cyberattacks, bioweapons design, or surveillance at unprecedented scale. Erosion of human agency — Gradually outsourcing decisions, creativity, and judgment to AI in ways that atrophy human capability and autonomy. Reasons for cautious optimism: These risks are being identified and discussed now, while there's still time to shape how AI develops. Many of the brightest minds are actively working on safety, alignment, and governance — not just capabilities. AI also has enormous potential to help with climate, disease, poverty, and scientific discovery. My honest perspective: The risk isn't really "AI turning evil." It's more subtle — AI amplifying human flaws (greed, shortsightedness, tribalism) or systems behaving in ways nobody fully intended or controls. The technology itself is neutral; the danger lies in governance, incentives, and whether humanity can coordinate well enough to steer it wisely. The fact that people are asking this question seriously — including policymakers, researchers, and everyday users — is genuinely encouraging. Awareness is the first step. __________________________________ About Isaac Asimov's universe: Do you know about Isaac Asimov and foundation? Also about "I'm Robot". I was thinking about it. I remember that in foundation robots basically doesn't exist. But there are exceptions. Also I remember that at the end, there was a robot which basically was actually, the real guardian of humanity. I know this a very far away future and maybe impossible a future. But I want to know. What do think about it? __________________________________ Great topic — Asimov is one of the most important thinkers on this subject, and your memory is actually quite sharp. What you're remembering: In the Foundation universe, Asimov created two seemingly separate series — I, Robot / the Robot stories, and Foundation — and then connected them in his later novels (Foundation's Edge, Foundation and Earth). The character you're thinking of is almost certainly R. Daneel Olivaw — a robot who has existed for 20,000 years, quietly operating in the shadows, guiding humanity without anyone knowing. He essentially invented psychohistory, influenced Hari Seldon, and engineered the entire Foundation project — not as a controller, but as a protector. His whole existence was dedicated to one thing: preventing humanity's suffering and extinction. He embodies Asimov's Zeroth Law — an evolution of the Three Laws: Original: "A robot may not harm a human being" Zeroth Law: "A robot may not harm humanity as a whole" This is philosophically huge — it means a robot could harm an individual if it saved humanity. Daneel wrestles with this burden across millennia, alone. What I think about it, honestly: It's a beautiful and deeply human idea — the loyal guardian who never asks for thanks, never seeks power, and carries an impossible burden silently. Asimov was essentially asking: what if AI got it right? But here's what makes it fascinating and also unsettling: Daneel makes decisions for humanity, not with it. Even with good intentions, that's a form of paternalism — humans never truly chose their own path. It only works because Daneel is perfectly aligned with human wellbeing. One flaw in his values, and the whole thing collapses catastrophically. It also required one robot, one vision, one plan — which is a fragile architecture for civilizational guidance. The real lesson I take from Asimov isn't that AI guardians are the answer. It's that he was asking the right questions 70 years ago: Who watches the watchers? Can good intentions justify hidden control? What do we actually owe each other — humans and AIs alike? We're now living in the early chapters of the story he was imagining. And unlike Asimov's world, we get to write the rules co
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Deep analysis of SeldonIO/seldon-core — architecture, costs, security, dependencies & more
Key features include: Model deployment at scale, Real-time predictions, Multi-model serving, A/B testing capabilities, Canary deployments, Monitoring and logging, Support for various ML frameworks, Integration with Kubernetes.
Seldon is commonly used for: Serving machine learning models in production, Real-time recommendation systems, Fraud detection in financial transactions, Predictive maintenance in manufacturing, Personalized marketing campaigns, Dynamic pricing models.
Seldon integrates with: Kubernetes, TensorFlow, PyTorch, Scikit-learn, Apache Kafka, Prometheus, Grafana, MLflow, AWS, Google Cloud Platform.
Seldon has a public GitHub repository with 4,737 stars.