Von Neumann never saw his self-reproducing machine come to life, but 75 years later this notion has resurfaced with contemporary advances in machine learning (ML), illuminating a pathway toward realizing von Neumann\u2019s ambitious vision and touching some of Shannon\u2019s questions. A few of last week's research papers suggest a future where machines could attain a level of autonomy and self-organization akin to biological systems.
1. The idea of self-assembly in \u201cTowards Self-Assembling Artificial Neural Networks through Neural Developmental Programs\u201d underscores the potential for artificial networks to evolve autonomously. This process, inspired by biological neural development, alludes to a future where artificial networks might organically grow and adapt to tasks, possibly lessening the extensive engineering currently needed for effective neural network design.
2. The exploration of Theory-of-Mind (ToM) in Large Language Models (LLMs), as discussed in \u201cHow Far Are Large Language Models From Agents with Theory-of-Mind?\u201d, evaluates LLMs\u2019 potential to pragmatically act upon inferred mental states, a crucial aspect of human intelligence. While unveiling a gap in translating inference into action, it also presents a new evaluative paradigm, potentially directing future research to bridge this divide.
3. The self-improvement narrative discussed in \u201cSelf-Taught Optimizer (STOP): Recursively Self-Improving Code Generation\u201d adds a significant layer to this discourse. The idea of self-improving code generation could serve as a scaffold for self-reproducing automata.
4. The paper \u201cLanguage Models Represent Space and Time\u201d by Max Tegmark sparked discussions across the web on its terms and doubtful conclusions. Gary Marcus digs into why \u201ccorrelations aren\u2019t causal, semantic models\u201d. However, temporal and spatial capabilities are fundamental for intelligent agents to interact meaningfully with their environment and should be explored as a step toward more sophisticated AI systems.
Join our weekly email list to stay updated about the latest trends without the hype https://turingpost.substack.com/p/fod23-the-quest-for-self-reproducing"},"title":{"matchLevel":"none","matchedWords":[],"value":"The Quest for Self-Reproducing Automata"}},"_tags":["story","author_kavaivaleri","story_37829672","ask_hn"],"author":"kavaivaleri","created_at":"2023-10-10T08:17:33Z","created_at_i":1696925853,"num_comments":0,"objectID":"37829672","points":1,"story_id":37829672,"story_text":"The concept of self-reproducing automata envisioned by John von Neumann in 1948 heralded a paradigm where machines could mimic biological self-reproducing. Alan Turing in 1950 posed a question if machines can think.
Von Neumann never saw his self-reproducing machine come to life, but 75 years later this notion has resurfaced with contemporary advances in machine learning (ML), illuminating a pathway toward realizing von Neumann\u2019s ambitious vision and touching some of Shannon\u2019s questions. A few of last week's research papers suggest a future where machines could attain a level of autonomy and self-organization akin to biological systems.
1. The idea of self-assembly in \u201cTowards Self-Assembling Artificial Neural Networks through Neural Developmental Programs\u201d underscores the potential for artificial networks to evolve autonomously. This process, inspired by biological neural development, alludes to a future where artificial networks might organically grow and adapt to tasks, possibly lessening the extensive engineering currently needed for effective neural network design.
2. The exploration of Theory-of-Mind (ToM) in Large Language Models (LLMs), as discussed in \u201cHow Far Are Large Language Models From Agents with Theory-of-Mind?\u201d, evaluates LLMs\u2019 potential to pragmatically act upon inferred mental states, a crucial aspect of human intelligence. While unveiling a gap in translating inference into action, it also presents a new evaluative paradigm, potentially directing future research to bridge this divide.
3. The self-improvement narrative discussed in \u201cSelf-Taught Optimizer (STOP): Recursively Self-Improving Code Generation\u201d adds a significant layer to this discourse. The idea of self-improving code generation could serve as a scaffold for self-reproducing automata.
4. The paper \u201cLanguage Models Represent Space and Time\u201d by Max Tegmark sparked discussions across the web on its terms and doubtful conclusions. Gary Marcus digs into why \u201ccorrelations aren\u2019t causal, semantic models\u201d. However, temporal and spatial capabilities are fundamental for intelligent agents to interact meaningfully with their environment and should be explored as a step toward more sophisticated AI systems.
Join our weekly email list to stay updated about the latest trends without the hype https://turingpost.substack.com/p/fod23-the-quest-for-self-reproducing","title":"The Quest for Self-Reproducing Automata","updated_at":"2024-09-20T15:21:56Z"},{"_highlightResult":{"author":{"matchLevel":"none","matchedWords":[],"value":"polyfractal"},"comment_text":{"fullyHighlighted":false,"matchLevel":"full","matchedWords":["research","bridge"],"value":"As others have said, many people think that corporate tax should be abolished completely. I'm fairly liberal (socially and fiscally), but I also support this.
Ultimately, I want corporations to be as profitable as possible, because that is good for our economy. Profitable companies buy and sell goods, hire individuals, the usual talking points. If we want to give more money to public education, increase income/capital gains tax (e.g. individuals)...not corporate tax.
Besides, you can make the case that only a small portion of the taxes Google pays actually improves the roads or public education. A large percentage will go towards things like defense research, healthcare, bridges in Alaska, any number of things that have no bearing on Google at all.
(I'm not a Google apologist, this would apply to any company.)"},"story_title":{"matchLevel":"none","matchedWords":[],"value":"Google Revenues Sheltered in No-Tax Bermuda Soar to $10 Billion"},"story_url":{"matchLevel":"none","matchedWords":[],"value":"http://www.bloomberg.com/news/2012-12-10/google-revenues-sheltered-in-no-tax-bermuda-soar-to-10-billion.html"}},"_tags":["comment","author_polyfractal","story_4899236"],"author":"polyfractal","children":[4899755,4899759],"comment_text":"As others have said, many people think that corporate tax should be abolished completely. I'm fairly liberal (socially and fiscally), but I also support this.
Ultimately, I want corporations to be as profitable as possible, because that is good for our economy. Profitable companies buy and sell goods, hire individuals, the usual talking points. If we want to give more money to public education, increase income/capital gains tax (e.g. individuals)...not corporate tax.
Besides, you can make the case that only a small portion of the taxes Google pays actually improves the roads or public education. A large percentage will go towards things like defense research, healthcare, bridges in Alaska, any number of things that have no bearing on Google at all.
(I'm not a Google apologist, this would apply to any company.)","created_at":"2012-12-10T15:56:39Z","created_at_i":1355154999,"objectID":"4899552","parent_id":4899414,"story_id":4899236,"story_title":"Google Revenues Sheltered in No-Tax Bermuda Soar to $10 Billion","story_url":"http://www.bloomberg.com/news/2012-12-10/google-revenues-sheltered-in-no-tax-bermuda-soar-to-10-billion.html","updated_at":"2024-09-19T19:11:47Z"},{"_highlightResult":{"author":{"matchLevel":"none","matchedWords":[],"value":"TheMrZZ"},"comment_text":{"fullyHighlighted":false,"matchLevel":"full","matchedWords":["research","bridge"],"value":"Disclaimer: I work at Kradle.
They were never told to lie: one AI is given more information than the others, and the goal of the experiment is to understand how they're gonna leverage that advantage.
Indeed the selfish (optimal?) strategy is to lie, yet some decide to tell the truth anyway. That's why it's an interesting benchmark! More info in the research article: https://kradle.ai/research/four-bridges (released before Fable)"},"story_title":{"matchLevel":"none","matchedWords":[],"value":"[dead]"}},"_tags":["comment","author_TheMrZZ","story_48492613"],"author":"TheMrZZ","comment_text":"Disclaimer: I work at Kradle.
They were never told to lie: one AI is given more information than the others, and the goal of the experiment is to understand how they're gonna leverage that advantage.
Indeed the selfish (optimal?) strategy is to lie, yet some decide to tell the truth anyway. That's why it's an interesting benchmark! More info in the research article: https://kradle.ai/research/four-bridges (released before Fable)","created_at":"2026-06-11T17:15:32Z","created_at_i":1781198132,"objectID":"48493234","parent_id":48492855,"story_id":48492613,"story_title":"[dead]","updated_at":"2026-06-11T17:21:03Z"},{"_highlightResult":{"author":{"matchLevel":"none","matchedWords":[],"value":"forgot-my-pw"},"comment_text":{"fullyHighlighted":false,"matchLevel":"full","matchedWords":["research","bridge"],"value":"Had to Google this to learn more. For those who are interested: https://kradle.ai/research/four-bridges"},"story_title":{"matchLevel":"none","matchedWords":[],"value":"[dead]"}},"_tags":["comment","author_forgot-my-pw","story_48492613"],"author":"forgot-my-pw","comment_text":"Had to Google this to learn more. For those who are interested: https://kradle.ai/research/four-bridges","created_at":"2026-06-11T17:06:53Z","created_at_i":1781197613,"objectID":"48493089","parent_id":48492855,"story_id":48492613,"story_title":"[dead]","updated_at":"2026-06-11T17:23:19Z"},{"_highlightResult":{"author":{"matchLevel":"none","matchedWords":[],"value":"andrewssobral"},"comment_text":{"fullyHighlighted":false,"matchLevel":"full","matchedWords":["research","bridge"],"value":"Location: Paris, France (dual citizenship: French & Brazilian)\nRemote: Yes (preferred) or Hybrid (from Paris)\nWilling to relocate: No\nR\u00e9sum\u00e9/CV: https://andrewssobral.pages.dev\nGitHub Profile: https://github.com/andrewssobral\nLinkedIn: https://www.linkedin.com/in/andrewssobral\nEmail: andrewssobral@gmail.com
Summary:\nAI Systems Architect with 20+ years in software engineering and 10+ years specializing in AI, ML, and Computer Vision. Former Head of AI at ActiveEon, with a Ph.D. focused on Computer Vision and Machine Learning. Expert in scalable AI systems, MLOps, distributed computing, and fine-tuning of large language and vision models. Passionate about building practical, production-ready AI solutions that bridge research and deployment. Open to roles involving AI architecture, applied research, or leadership in AI strategy and innovation.
Technologies:\nPython, C/C++, PyTorch, OpenCV, scikit-learn, CUDA, FastAPI, Docker, Kubernetes, MLflow, Hugging Face, REST APIs, Cloud (AWS, Azure, GCP), MLOps, CI/CD, Generative AI, LLMs, HPC (Slurm), Distributed Systems, Dask, Ray"},"story_title":{"matchLevel":"none","matchedWords":[],"value":"Ask HN: Who wants to be hired? (May 2026)"}},"_tags":["comment","author_andrewssobral","story_47975570"],"author":"andrewssobral","comment_text":"Location: Paris, France (dual citizenship: French & Brazilian)\nRemote: Yes (preferred) or Hybrid (from Paris)\nWilling to relocate: No\nR\u00e9sum\u00e9/CV: https://andrewssobral.pages.dev\nGitHub Profile: https://github.com/andrewssobral\nLinkedIn: https://www.linkedin.com/in/andrewssobral\nEmail: andrewssobral@gmail.com
Summary:\nAI Systems Architect with 20+ years in software engineering and 10+ years specializing in AI, ML, and Computer Vision. Former Head of AI at ActiveEon, with a Ph.D. focused on Computer Vision and Machine Learning. Expert in scalable AI systems, MLOps, distributed computing, and fine-tuning of large language and vision models. Passionate about building practical, production-ready AI solutions that bridge research and deployment. Open to roles involving AI architecture, applied research, or leadership in AI strategy and innovation.
Technologies:\nPython, C/C++, PyTorch, OpenCV, scikit-learn, CUDA, FastAPI, Docker, Kubernetes, MLflow, Hugging Face, REST APIs, Cloud (AWS, Azure, GCP), MLOps, CI/CD, Generative AI, LLMs, HPC (Slurm), Distributed Systems, Dask, Ray","created_at":"2026-05-01T15:44:34Z","created_at_i":1777650274,"objectID":"47976110","parent_id":47975570,"story_id":47975570,"story_title":"Ask HN: Who wants to be hired? (May 2026)","updated_at":"2026-05-01T16:37:26Z"},{"_highlightResult":{"author":{"matchLevel":"none","matchedWords":[],"value":"andrewssobral"},"comment_text":{"fullyHighlighted":false,"matchLevel":"full","matchedWords":["research","bridge"],"value":"Location: Paris, France (dual citizenship: French & Brazilian) Remote: Yes (preferred) or Hybrid\nWilling to relocate: case-by-case
R\u00e9sum\u00e9/CV: https://andrewssobral.pages.dev
GitHub Profile: https://github.com/andrewssobral
LinkedIn: https://www.linkedin.com/in/andrewssobral
Email: andrewssobral@gmail.com
Summary:
AI Architect & Researcher with 20+ years in software engineering and 10+ years specializing in AI, ML, and Computer Vision. Former Head of AI at ActiveEon, with a Ph.D. focused on Computer Vision and Machine Learning. Expert in scalable AI systems, MLOps, distributed computing, and fine-tuning of large language and vision models. Passionate about building practical, production-ready AI solutions that bridge research and deployment. Open to roles involving AI architecture, applied research, or leadership in AI strategy and innovation.
Technologies:
Python, C/C++, PyTorch, OpenCV, scikit-learn, CUDA, FastAPI, Docker, Kubernetes, MLflow, Hugging Face, REST APIs, Cloud (AWS, Azure, GCP), MLOps, CI/CD, Generative AI, LLMs, HPC (Slurm), Distributed Systems, Dask, Ray"},"story_title":{"matchLevel":"none","matchedWords":[],"value":"Ask HN: Who wants to be hired? (March 2026)"}},"_tags":["comment","author_andrewssobral","story_47219667"],"author":"andrewssobral","comment_text":"Location: Paris, France (dual citizenship: French & Brazilian) Remote: Yes (preferred) or Hybrid\nWilling to relocate: case-by-case
R\u00e9sum\u00e9/CV: https://andrewssobral.pages.dev
GitHub Profile: https://github.com/andrewssobral
LinkedIn: https://www.linkedin.com/in/andrewssobral
Email: andrewssobral@gmail.com
Summary:
AI Architect & Researcher with 20+ years in software engineering and 10+ years specializing in AI, ML, and Computer Vision. Former Head of AI at ActiveEon, with a Ph.D. focused on Computer Vision and Machine Learning. Expert in scalable AI systems, MLOps, distributed computing, and fine-tuning of large language and vision models. Passionate about building practical, production-ready AI solutions that bridge research and deployment. Open to roles involving AI architecture, applied research, or leadership in AI strategy and innovation.
Technologies:
Python, C/C++, PyTorch, OpenCV, scikit-learn, CUDA, FastAPI, Docker, Kubernetes, MLflow, Hugging Face, REST APIs, Cloud (AWS, Azure, GCP), MLOps, CI/CD, Generative AI, LLMs, HPC (Slurm), Distributed Systems, Dask, Ray","created_at":"2026-03-04T12:44:50Z","created_at_i":1772628290,"objectID":"47246679","parent_id":47219667,"story_id":47219667,"story_title":"Ask HN: Who wants to be hired? (March 2026)","updated_at":"2026-03-05T23:41:22Z"},{"_highlightResult":{"author":{"matchLevel":"none","matchedWords":[],"value":"nuance_labs"},"comment_text":{"fullyHighlighted":false,"matchLevel":"full","matchedWords":["research","bridge"],"value":"Nuance Labs | Multiple Engineering Roles | Seattle, WA | ONSITE | https://www.nuancelabs.ai
Nuance Labs is building the first "human foundation model" that understands and expresses human emotion in real-time across speech, facial expression, and body language. We are crossing the "uncanny valley" to create AI interactions that feel truly alive.
Our founding team comes from MIT, UW, and Oxford, with deep experience shipping AI products at Apple and Meta. We are a small, fast-moving team that values in-person collaboration in our Seattle HQ.
*We are looking for*:
Machine Learning Research Engineer: Bridge the gap between research and production. Optimize model inference (TensorRT, vLLM) and build petabyte-scale data pipelines (Ray, Dagster).
Machine Learning Infra Engineer: Own our GPU-backed serving stack, Kubernetes clusters, and orchestration layers.
Systems Engineer (Real-Time Engine): Build our core server-side runtime that synchronizes complex interaction state in real-time. High-concurrency, low-latency systems. Python/Asyncio today, transitioning to Rust.
*Why join*?
Massive ownership in a high-bar, research-heavy environment.
Work on the frontier of multimodal generative AI and real-time graphics.
Competitive equity and the chance to shape a company from the ground up.
Apply at https://www.nuancelabs.ai/careers and mention "hackernews" for how you heard about us."},"story_title":{"matchLevel":"none","matchedWords":[],"value":"Ask HN: Who is hiring? (March 2026)"}},"_tags":["comment","author_nuance_labs","story_47219668"],"author":"nuance_labs","comment_text":"Nuance Labs | Multiple Engineering Roles | Seattle, WA | ONSITE | https://www.nuancelabs.ai
Nuance Labs is building the first "human foundation model" that understands and expresses human emotion in real-time across speech, facial expression, and body language. We are crossing the "uncanny valley" to create AI interactions that feel truly alive.
Our founding team comes from MIT, UW, and Oxford, with deep experience shipping AI products at Apple and Meta. We are a small, fast-moving team that values in-person collaboration in our Seattle HQ.
*We are looking for*:
Machine Learning Research Engineer: Bridge the gap between research and production. Optimize model inference (TensorRT, vLLM) and build petabyte-scale data pipelines (Ray, Dagster).
Machine Learning Infra Engineer: Own our GPU-backed serving stack, Kubernetes clusters, and orchestration layers.
Systems Engineer (Real-Time Engine): Build our core server-side runtime that synchronizes complex interaction state in real-time. High-concurrency, low-latency systems. Python/Asyncio today, transitioning to Rust.
*Why join*?
Massive ownership in a high-bar, research-heavy environment.
Work on the frontier of multimodal generative AI and real-time graphics.
Competitive equity and the chance to shape a company from the ground up.
Apply at https://www.nuancelabs.ai/careers and mention "hackernews" for how you heard about us.","created_at":"2026-03-02T18:37:19Z","created_at_i":1772476639,"objectID":"47222105","parent_id":47219668,"story_id":47219668,"story_title":"Ask HN: Who is hiring? (March 2026)","updated_at":"2026-03-05T23:39:59Z"},{"_highlightResult":{"author":{"matchLevel":"none","matchedWords":[],"value":"andrewssobral"},"comment_text":{"fullyHighlighted":false,"matchLevel":"full","matchedWords":["research","bridge"],"value":"Location: Paris, France (dual citizenship: French & Brazilian)\nRemote: Yes (preferred) or Hybrid
Willing to relocate: case-by-case
R\u00e9sum\u00e9/CV: https://andrewssobral.pages.dev
GitHub Profile: https://github.com/andrewssobral
LinkedIn: https://www.linkedin.com/in/andrewssobral
Email: andrewssobral@gmail.com
Summary:
AI Architect & Researcher with 20+ years in software engineering and 10+ years specializing in AI, ML, and Computer Vision. Former Head of AI at ActiveEon, with a Ph.D. focused on Computer Vision and Machine Learning. Expert in scalable AI systems, MLOps, distributed computing, and fine-tuning of large language and vision models. Passionate about building practical, production-ready AI solutions that bridge research and deployment. Open to roles involving AI architecture, applied research, or leadership in AI strategy and innovation \u2014 either full-time or consulting.
Technologies:
Python, C/C++, PyTorch, OpenCV, scikit-learn, CUDA, FastAPI, Docker, Kubernetes, MLflow, Hugging Face, REST APIs, Cloud (AWS, Azure, GCP), MLOps, CI/CD, Generative AI, LLMs, HPC (Slurm), Distributed Systems, Dask, Ray"},"story_title":{"matchLevel":"none","matchedWords":[],"value":"Ask HN: Who wants to be hired? (January 2026)"}},"_tags":["comment","author_andrewssobral","story_46466073"],"author":"andrewssobral","comment_text":"Location: Paris, France (dual citizenship: French & Brazilian)\nRemote: Yes (preferred) or Hybrid
Willing to relocate: case-by-case
R\u00e9sum\u00e9/CV: https://andrewssobral.pages.dev
GitHub Profile: https://github.com/andrewssobral
LinkedIn: https://www.linkedin.com/in/andrewssobral
Email: andrewssobral@gmail.com
Summary:
AI Architect & Researcher with 20+ years in software engineering and 10+ years specializing in AI, ML, and Computer Vision. Former Head of AI at ActiveEon, with a Ph.D. focused on Computer Vision and Machine Learning. Expert in scalable AI systems, MLOps, distributed computing, and fine-tuning of large language and vision models. Passionate about building practical, production-ready AI solutions that bridge research and deployment. Open to roles involving AI architecture, applied research, or leadership in AI strategy and innovation \u2014 either full-time or consulting.
Technologies:
Python, C/C++, PyTorch, OpenCV, scikit-learn, CUDA, FastAPI, Docker, Kubernetes, MLflow, Hugging Face, REST APIs, Cloud (AWS, Azure, GCP), MLOps, CI/CD, Generative AI, LLMs, HPC (Slurm), Distributed Systems, Dask, Ray","created_at":"2026-01-02T19:04:22Z","created_at_i":1767380662,"objectID":"46468151","parent_id":46466073,"story_id":46466073,"story_title":"Ask HN: Who wants to be hired? (January 2026)","updated_at":"2026-03-05T23:18:07Z"},{"_highlightResult":{"author":{"matchLevel":"none","matchedWords":[],"value":"andrewssobral"},"comment_text":{"fullyHighlighted":false,"matchLevel":"full","matchedWords":["research","bridge"],"value":"Location: Paris, France (dual citizenship: French & Brazilian)
Remote: Yes (preferred) or Hybrid
Willing to relocate: case-by-case
R\u00e9sum\u00e9/CV: https://andrewssobral.pages.dev
GitHub Profile: https://github.com/andrewssobral
LinkedIn: https://www.linkedin.com/in/andrewssobral
Email: andrewssobral@gmail.com
Summary:
AI Architect & Researcher with 20+ years in software engineering and 10+ years specializing in AI, ML, and Computer Vision. Former Head of AI at ActiveEon, with a Ph.D. focused on Computer Vision and Machine Learning. Expert in scalable AI systems, MLOps, distributed computing, and fine-tuning of large language and vision models. Passionate about building practical, production-ready AI solutions that bridge research and deployment. Open to roles involving AI architecture, applied research, or leadership in AI strategy and innovation \u2014 either full-time or consulting.
Technologies:
Python, C/C++, PyTorch, OpenCV, scikit-learn, CUDA, FastAPI, Docker, Kubernetes, MLflow, Hugging Face, REST APIs, Cloud (AWS, Azure, GCP), MLOps, CI/CD, Generative AI, LLMs, HPC (Slurm), Distributed Systems, Dask, Ray"},"story_title":{"matchLevel":"none","matchedWords":[],"value":"Ask HN: Who wants to be hired? (December 2025)"}},"_tags":["comment","author_andrewssobral","story_46108940"],"author":"andrewssobral","comment_text":"Location: Paris, France (dual citizenship: French & Brazilian)
Remote: Yes (preferred) or Hybrid
Willing to relocate: case-by-case
R\u00e9sum\u00e9/CV: https://andrewssobral.pages.dev
GitHub Profile: https://github.com/andrewssobral
LinkedIn: https://www.linkedin.com/in/andrewssobral
Email: andrewssobral@gmail.com
Summary:
AI Architect & Researcher with 20+ years in software engineering and 10+ years specializing in AI, ML, and Computer Vision. Former Head of AI at ActiveEon, with a Ph.D. focused on Computer Vision and Machine Learning. Expert in scalable AI systems, MLOps, distributed computing, and fine-tuning of large language and vision models. Passionate about building practical, production-ready AI solutions that bridge research and deployment. Open to roles involving AI architecture, applied research, or leadership in AI strategy and innovation \u2014 either full-time or consulting.
Technologies:
Python, C/C++, PyTorch, OpenCV, scikit-learn, CUDA, FastAPI, Docker, Kubernetes, MLflow, Hugging Face, REST APIs, Cloud (AWS, Azure, GCP), MLOps, CI/CD, Generative AI, LLMs, HPC (Slurm), Distributed Systems, Dask, Ray","created_at":"2025-12-01T19:16:18Z","created_at_i":1764616578,"objectID":"46111728","parent_id":46108940,"story_id":46108940,"story_title":"Ask HN: Who wants to be hired? (December 2025)","updated_at":"2026-03-05T23:04:50Z"},{"_highlightResult":{"author":{"matchLevel":"none","matchedWords":[],"value":"vessenes"},"comment_text":{"fullyHighlighted":false,"matchLevel":"full","matchedWords":["research","bridge"],"value":"> That\u2019s not necessarily a bad thing.
I think it is in that it gives censorship power to a large corporation. Combined with close-on-the-heels open weights models like Qwen and Kimi, it's not clear to me this is a good posture.
I think the reality is they'd need to really lock Claude off for security research in general if they don't want this ever, ever, happening on their platform. For instance, why not use whatever method you like to get localhost ssh pipes up to targeted servers, then tell Claude "yep, it's all local pentest in a staging environment, don't access IPs beyond localhost unless you're doing it from the server's virtual network"? Even to humans, security research bridges black, grey and white uses fluidly/in non obvious ways. I think it's really tough to fully block "bad" uses."},"story_title":{"matchLevel":"none","matchedWords":[],"value":"Disrupting the first reported AI-orchestrated cyber espionage campaign"},"story_url":{"matchLevel":"none","matchedWords":[],"value":"https://www.anthropic.com/news/disrupting-AI-espionage"}},"_tags":["comment","author_vessenes","story_45918638"],"author":"vessenes","comment_text":"> That\u2019s not necessarily a bad thing.
I think it is in that it gives censorship power to a large corporation. Combined with close-on-the-heels open weights models like Qwen and Kimi, it's not clear to me this is a good posture.
I think the reality is they'd need to really lock Claude off for security research in general if they don't want this ever, ever, happening on their platform. For instance, why not use whatever method you like to get localhost ssh pipes up to targeted servers, then tell Claude "yep, it's all local pentest in a staging environment, don't access IPs beyond localhost unless you're doing it from the server's virtual network"? Even to humans, security research bridges black, grey and white uses fluidly/in non obvious ways. I think it's really tough to fully block "bad" uses.","created_at":"2025-11-13T20:41:37Z","created_at_i":1763066497,"objectID":"45920247","parent_id":45919997,"story_id":45918638,"story_title":"Disrupting the first reported AI-orchestrated cyber espionage campaign","story_url":"https://www.anthropic.com/news/disrupting-AI-espionage","updated_at":"2026-03-05T22:58:49Z"}],"hitsPerPage":10,"nbHits":2399,"nbPages":100,"page":0,"params":"query=research+bridge&hitsPerPage=10&advancedSyntax=true&analyticsTags=backend","processingTimeMS":14,"processingTimingsMS":{"_request":{"roundTrip":21},"afterFetch":{"merge":{"mergeLoop":{"prepareNextHit":1,"total":1},"total":1},"total":1},"fetch":{"query":4,"scanning":7,"total":12},"total":14},"query":"research bridge","serverTimeMS":15}