Dev tools · alternatives · 2026
24 alternatives to The Thiele Machine – Coq-Verified Computational Model Beyond Turing
The Thiele Machine is a formally verified universal computational model the surpasses Turing machines in key ways. It's fully proven in Coq (including kernel theorems and universality containment), features a python implementation for simulation and includes hardware designs in Verilog for potential FPGA/ASIC builds. The core idea: a paradigm shift using μ-bits for stricter computation under real-world constraints, tying into physics (e.g., Noether’s theorem) and emergence in chaotic systems. The repo includes a 13-chapter thesis (PDF and sources), proofs, and tools for exploration.…
Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes.
- 1
A pipeline that translates Rust GPU code into formal Coq models, as a foundation for memory model proofs - neelsomani/vericuda
2025 · github.com · its alternatives →
- 2
PrismML builds 1-bit and ternary Bonsai models that pack advanced reasoning, tool use, and multimodal AI into phones, laptops, and efficient data centers.
Mar 2026 · prismml.com · its alternatives →
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My implementations of deterministic and non-deterministic turing machines - yedhukrishnan/turing-machine
2015 · github.com · its alternatives →
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filippo.io/mlkem768 is a pure-Go implementation of the post-quantum key exchange mechanism ML-KEM-768 optimized for correctness and readability.
2024 · words.filippo.io · its alternatives →
- 6AT
A 3.16M-parameter INT4 transformer running entirely in the on-chip memory of a Xilinx Kria KV260. Zero DRAM in the token loop, 59,965 tok/s on the fabric, bit-exact. Chat with it live.
Aug 2026 · mikeayles.com · its alternatives →
- 7GC
Achieved a new world record in verifying the Goldbach Conjecture using grid computing, by extending the verification up to 4 quadrillion (4×10¹⁸) + 70 trillion (7×10¹³). My grid computing system - Gridbach is a cloud-based distributed computing system accessible from any PC or smartphone. It requires no login or app installation. The high-performance WASM (WebAssembly) binary code is downloaded as browser content, enabling computation on the user’s browser. [Website] https://gridbach.com/ [Medium]…
2025 · medium.com · its alternatives →
- 8
A Fully Homomorphic Encryption Brainfuck virtual machine - f-prime/arcanevm
2019 · github.com · its alternatives →
- 9
Qwen3-Coder▲248A powerful open model for agentic coding tasks
2025 · qwenlm.github.io · its alternatives →
- 10
Build your own high performance LLM inference engine in C++ and CUDA - a smaller version of vLLM - jmaczan/tiny-vllm
May 2026 · github.com · its alternatives →
- 11
Turing Pi is a compact ARM cluster that provides a secure and scalable compute in the edge. It is designed to make web-scale edge computing easier for developers.
2020 · turingpi.com · its alternatives →
- 12
Qwen3.6-35B-A3B▲124The open sparse MoE model for agentic coding
Apr 2026 · qwen.ai · its alternatives →
- 13
Qwen3.6-27B▲120The sweet-spot open dense model for coding agents
Apr 2026 · qwen.ai · its alternatives →
- 14TC
Hi everyone! I'm an Italian programmer, very passionate about computer architecture. Some time ago I realized that some architectures potentially much superior to the classic VonNeumann, have been forgotten because there were no reliable technical solutions to implement them. One of these architectures particularly struck me and it is the "Dataflow architecture", in which there is no Program counter, but the instructions are executed in real contemporaneity whenever the operands are available. In trying to find a technical solution that implements this type of architecture effectively…
2024 · ternary-computing.com · its alternatives →
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This is a weekend hack that I'd like to further develop as it's working surprisingly well. Using MCTS, we can explore a space of possible verified programs with an LLM. We check the partial programs at each step, and so steer towards programs that pass the verifier. https://github.com/namin/llm-verified-with-monte-carlo-tree-...
2023 · github.com · its alternatives →
- 16
Arduino▲111Dual-brain edge AI computer by Qualcomm and Arduino
2014 · arduino.cc · its alternatives →
- 17
Hey HN! I've been curious about the history of computer science and decided to try to read Turing's 1936 paper where he conceptualizes the Turing Machine, etc. I had trouble understanding the paper, read The Annotated Turing by Charles Petzold (which is wonderful), but felt that reading a reference implementation would help formalize my understanding. When I couldn't find an open source implementation, I decided to write my own. The implementation includes: - Abbreviated tables (m-functions) - Conversions to Standard Descriptions and Description Numbers - A working universal machine - A…
2023 · github.com · its alternatives →
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TLDR: A small, vendor-agnostic inference loop that turns token logprobs/perplexity/entropy into an extra pass and reasoning for LLMs. - Captures logprobs/top-k during generation, computes perplexity and token-level entropy. - Triggers at most one refine when simple thresholds fire; passes a compact “uncertainty report” (uncertain tokens + top-k alts + local context) back to the model. - In our tests on technical Q&A / math / code, a small model recovered much of “reasoning” quality at ~⅓ the cost while refining ~⅓ of outputs. I kept seeing “reasoning” models behave…
2025 · github.com · its alternatives →
- 19SA
Hey HN, I’m a physicist turned quant. Some friends and I 'built' SymDerive because we wanted a symbolic math library that was "Agent-Native" by design, but still a practical tool for humans. It boils down to two main goals: 1. Agent Reliability: I’ve found that AI agents write much more reliable code when they stick to stateless, functional pipelines (Lisp-style). It keeps them from hallucinating state changes or getting lost in long procedural scripts. I wanted a library that enforces that "Input -> Transform -> Output" flow by default. 2. Easing the transition to Python: For many…
Feb 2026 · its alternatives →
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The Emotion Engine has 32 MB of RAM total, so the trick is streaming weights from CD-ROM one matrix at a time during the forward pass — only activations, KV cache and embeddings live in RAM. This means models bigger than the RAM can still run, they just read more from disc. Had to build a custom quantized format (PSNT), hack endianness, write a tokenizer pipeline, and most of the PS2 SDK from scratch (releasing that separately). The model itself is also custom — a 10M param Llama-style architecture I trained specifically for this. And it works. On real hardware.
Mar 2026 · github.com · its alternatives →
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Framework for specifying and proving properties—such as robustness, fairness, and interpretability—of machine learning models using Lean 4. - fraware/leanverifier
2025 · github.com · its alternatives →
- 23
Pythonic tool for orchestrating machine-learning/high performance/quantum-computing workflows in heterogeneous compute environments. - AgnostiqHQ/covalent
2022 · github.com · its alternatives →
- 24
Please forgive the sign up. It means we can give away and keep track of free inference usage/no API keys needed. Happy to send sign in credentials on request if you prefer.
2025 · enginelabs.ai · its alternatives →
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- filippo.io/mlkem768 – Post-Quantum Cryptography for the Go Ecosystem alternatives
- A tiny LLM running at 21,000 tok/s on a $250 FPGA (Live Demo) alternatives
Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →