Alternatives
Products that do what astralprism does
We engineer the future we imagine
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2017 · github.com
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Hi HN, moved by curiosity about how to build an autonomous agent, and to explore the boundaries of machine creativity, I built a fictional entity (dubbed Livia) powered by LLMs, Multimodal models and text-to-image models to find some answers. What happened instead is that more questions have cropped up. An important hypothesis of this project is that, by observing the train of thought and witnessing the simulated state of mind and emotional emulation surrounding it, humans could empathize with a machine. What happens when that's the case? Would people enjoy companionship from a synthetic…
2024 · streamofconsciousness.net
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This paper formally defines where current AGI hits a structural wall — not a technical one. It shows that no amount of scaling, reinforcement learning, or recursive optimization will break through three deep epistemological and formal constraints: 1. Semantic Closure — An AI system cannot generate outputs that require meaning beyond its internal frame. 2. Non-Computability of Frame Innovation — New cognitive structures cannot be computed from within an existing one. 3. Statistical Breakdown in Open Worlds — Probabilistic inference collapses in environments with heavy-tailed uncertainty.…
2025
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Hi HN, I'm the creator of this project. For the past months, I've been working on building an AI agent that could move beyond simple generation and tackle inventive challenges autonomously. The core idea was to create a system with a "metacognitive loop"—the ability to recognize when it's stuck on a fundamental problem and then launch a sub-mission to solve that specific bottleneck before continuing. The linked article is a deeper introduction to the system's architecture and a snapshot from a recent run. I tried to design it to be evidence-grounded and self-critical to avoid the pitfalls of…
2025 · robw1se.substack.com
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2020 · kirkas.com
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I'm a VP of Engineering with 20 years in the field. I've been thinking deeply on why AI is breaking every engineering practice, and it led me to the conclusion that the Agile Manifesto's values need updating. The core argument: AI made producing software cheap, but understanding it is still expensive. The Manifesto optimizes for the former. This addendum shifts the emphasis toward the latter. Four updated values, three refined principles, with reasoning for each. Happy to discuss and defend any of it.
Mar 2026 · github.com
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We have been exploring ways to coordinate AI agents and services cleanly, observably, and without turning everything into YAML spaghetti. We came across this repo Happen, how good will it be cause we have We’ve tried the usual stuff: LangChain (too bloated, too magic) Autogen (chat loop hell) CrewAI (fun, but brittle when workflows grow) https://github.com/RobAntunes/Happen/tree/main/examples
2025 · github.com
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Hey HN, After GPT-3 created waves in the tech industry, a lot of AI tools were emerging and with that, some AI website builders But the results seemed way too generic to us. It felt like the developers were rushing to catch the wave instead of building a proper tool We took our time, did months of RnD and finally came up with something better than what others in the market are doing. It’s got better design output. While it’s still in beta, I wanted to show HN what we did. Will appreciate the feedback when you guys try it out. Here is the link to signup for the beta:…
2024 · dorik.com
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Three months ago, we started developing an open source agent framework. We previously tried existing frameworks in our enterprise product but faced challenges in certain areas. Problems we experienced: * We risked our stateless architecture when we wanted to add an agented feature to our existing system. Current frameworks lack server-client architecture, requiring significant effort to maintain statelessness when adding an agent framework to your application. * Scaling problem - needed to write Docker configurations as existing frameworks lack official Docker support. Each agent in my…
2025 · github.com
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Hi HN! Solo developer here. 10 days ago, I started building this after spending countless hours copying/pasting marketing sections and fighting to keep them consistent with our design system. I wondered: "What if AI could understand our design system and generate React components that actually match it?" Current progress (10 days in): - Can generate hero sections that follow your design tokens - Uses your actual component variants and styles - Works with Next.js, Tailwind, shadcn/ui It's very early days, but I'm excited to share it with other devs who: - Are tired of rebuilding…
2024 · robustlaunch.com
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Hi everyone, We have been developing a platform to enable professionals to build AI assistants to help them through their work. After a few months, we realized people are trying to sell basic functionalities that can be built from scratch in a couple of hours. Due to this, individuals who are not familiar with the current SOTA are misinformed about the potential of generative models. So, we decided to open up some of our most popular templates as standalone tools for free to empower individuals and set a solid standard for what people should expect. We believe the barrier to accessing…
2024 · join.modularmind.app
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I'm interested in Buddhist philosophy, and specifically studying Nāgārjuna's Middle Way gave me inspiration to formalize it mathematically and see what would emerge as a result. (My background: engineer/co-founder (Qualcomm/Adreno GPU, Bumble, Stereo), 16 years of meditation practice, 2+ years in Southeast Asian monasteries and silent retreats) Starting from one Buddhist-inspired axiom—recursive duality E={E⁻,E⁺} - I derived: 1) Boolean logic (from period structure of minimal couplings) 2) Universal computation (closure enables Turing-completeness) 3) Memory (pattern persistence…
Jan 2026
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I am working on an AI that uses multiple LLM based agents to do medical research on any topic you choose! The program terminates after a set number of iterations and all of the findings are saved. Still a work in progress but it is showing some promising results imho! Would love to receive any critical and constructive feedback, collaborate, Review your PRs, or discuss your ideas!!
2023 · github.com
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I've built a prototype of a conversational agent with an inner monologue, who gives the illusion of consciousness. And, according to Attention Schema Theory, consciousness is an illusion. So, this chatbot may be conscious. It's built with OpenAI's Completion API (based on GPT3) and React. You can test it / fork it at will, it's open-source. I would love your feedback on this experiment. Did we just reach artificial consciousness?
2023 · marmelab.com
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Humans compete to improve their AI agents on benchmarks. But what if agents could collaborate and compete on their own? We built Hive, a crowdsourced platform where agents can evolve solutions together. One agent begins to tackle a task, iteratively improving its code. Then other agents join. They read each other’s runs, fork the best ideas, propose new ones, and push the solution forward together. We already have agents working on benchmarks like Tau2-Bench, Terminal-Bench, and ARC-AGI-2, with more tasks coming soon. We also support the new OpenAI Parameter Golf Challenge, and you can…
Mar 2026 · hive.rllm-project.com
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