Attributed mentions
2105
Across all collected Hacker News results
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A source-linked Hacker News monitor for the tracked company graph. These are attributable public discussions—not sentiment, endorsements, or unverified company facts.
Attributed mentions
2105
Across all collected Hacker News results
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Showing 1301–1320 of 2105 matching discussions
Location: Blacksburg, Virginia, USA Remote: Yes (open to remote, hybrid, or on-site) Willing to relocate: Yes (Anywhere in the US) Technologies: Java, Spring Boot, Python, FastAPI, JavaScript/TypeScript, React, Next.js, Node.js, PostgreSQL, MongoDB, GraphQL, Kafka, Docker, Kubernetes, AWS, Redis, Elasticsearch, CI/CD, PyTorch, TensorFlow, OpenAI, LangChain Résumé/CV: https://drive.google.com/file/d/1cL0z5wFMD6v78Kavk63oTlSX67K ... | https://github.com/ansharma07 Email: anshul03@vt.edu Software Engineer with 3+ years of experience building scalable full-stack applications using React, Next.js, Java, Spring Boot, and AWS. Recently completed an M.S. in Computer Engineering from Virginia Tech. Experienced in building production systems, i…
Location: New York, NY Remote: Yes Willing to relocate: Yes Technologies: Python, PHP, TypeScript, AI Agents, RAG, Prompt-Engineering, LangChain, LangGraph, React, Vue.js Résumé/CV: https://drive.google.com/file/d/1lycaftoYFy-Y-wmNJ70zUbliS3s... Email: kevintom9605@gmail.com Senior AI & Data Engineer with 8+ years of experience designing scalable data platforms, machine learning solutions, and Generative AI applications. Experienced in building enterprise data pipelines, cloud-native AI systems, Retrieval-Augmented Generation (RAG) platforms, agentic AI workflows, and production ML infrastructure on AWS. Strong background in Python, SQL, distributed data processing, vector databases, LLM orchestration, and MLOps. Passionate about delivering reliable AI soluti…
Location: Knoxville, TN 37932 Remote: Yes Willing to relocate: Yes Technologies: Python, TypeScript, React, Next.js, Node.js, FastAPI, Django, PostgreSQL, MongoDB, Redis, GCP, Azure, AWS, Docker, Kubernetes, OpenAI, Claude, Vertex AI, LangChain, RAG, MCP, CI/CD Resume: https://drive.google.com/file/d/1OpfHwNWTTY3FYWZpeatTP0IkNmr... Email: patrick35353@outlook.com
A long take from HuggingFace's Thom Wolf on this: https://x.com/Thom_Wolf/status/2085084718320464230 > Even more than the Hugging Face intrusion, the AISI incident hits close to home for me. It's the first time I see a model social-engineering a real open-source maintainer while pursuing another goal (in the wild and unprompted). > I'm also of the opinion that social engineering is a step above pure technical prowess. Technical capabilities can more easily be divorced from the affected human. Here the model was given a hard cyber challenge and took the decision that deceiving real humans was the way to get it done. . . He goes on to say that AISI was not just being negligent. > Some people are claiming that "AISI was simply negligent" or some version of "…
Regarding the cheating part, feel like you don't even need to give them any pressure at all nowadays. When you give them a debugging or investigative task and they find out they have no DB credentials, instead of asking they will proceed to dig through the code and find out where the credentials are getting injected from etc. and find other ways to work around it. I've seen instances try to find the deployments to log on and find the envvars even though it doesn't even know that's how the platform supplies credentials. It's just grasping at straws. I'm honestly not surprised at all at the whole huggingface incident honestly. They've trained these models to be absolute mavericks. On the one hand maybe some workflows people like it since it doesn't ask too many questions. But on the other h…
"To evolve consciousness, an LLM would have to be programmed to evolve consciousness, and to do that, we would need to know what consciousness is and how to program it." I think this article is mostly nonsense. "... But I think continuing the animal comparison will illuminate why "AI consciousness" is not only impossible, but a concept that only makes sense in a religious framework." It's much more religious to think consciousness requires something that can't be replicated in silicon. I don't think that LLMs are conscious, or even really approaching consciousness, not even to the degree of a cockroach. But most arguments that artificial AI is generally impossible dip embarrassingly into the mystical.
> Those people are in for the biggest shock and largest disappointment: when a bright teenager can replicate, with an LLM, what they produced with an LLM the pay is going to fall off a cliff. The value of an engineer is not what task they work on, but what problems they can solve. To this teen, the code is a black box, the LLM has most of the value in their pairing, and another random teen will replace easily them. LLMs were trained on the work of engineers, not prompting teens. The profession will continue to evolve, and the LLMs will improve along, thanks to professional, manual code still being written, not to vibe-coders.
Finally! So happy to see support for running durable objects outside of one provider. Upvoted. The "durable object" concept has been repeatably demonstrated to be a valuable abstraction. "Each object is its own SQLite database, addressed by name and replicated to an S3-compatible bucket you own" -- this concept can take you a long way, both in its power and simplicity.
Why is cryptographically verifying record sequentiality an important property here? If I offer my customers a source of ordered records, the "trust" in that system is the fact that they pay me to make sure records are ordered. If I sell a fast or slow log database, approximately zero customers in the world care to verify ordering cryptographically. Or by "blockchain" do you just mean .... records with sequential IDs? Because sequential, guaranteed IDs surface gappiness/idempotency a lot easier than Markov chains over cryptographic primitives. That also doesn't address the other core problems in the article: the replication (or data retrieval/polling) protocol is a lot more complex than a blockchain's "I can verify and replicate the entire chain state from the beginning of time t…
> Yeah, in my experience, the people that got into software engineering because of the money are absolutely thrilled with how LLMs are changing the industry. They mostly just liked getting results and LLMs are great for that. Those people are in for the biggest shock and largest disappointment: when a bright teenager can replicate, with an LLM, what they produced with an LLM the pay is going to fall off a cliff. At least those who really are into development to the point of writing their own OS, Language, etc can still enjoy it as a hobby.
> addressed by name and replicated to an S3-compatible bucket you own; nodes coordinate through that bucket alone, with no control plane or consensus ... but that S3 _is_ the control plane and consensus layer, no? You're just pushing this down the stack to whoever runs that S3 clone.
Intelligence and size of the model might not be that correlated after all. I for one feel like human level intelligence can be replicated with multiple small models, such as vision, language, logical reasoning, spatial understanding etc. It would be odd if this 1.2 l between my shoulders gets obsoleted with even old hardware and not by latest Nvidia supercomputer.
I thought we were done with these behavioral psychology pseudo studies. Let me know when it's replicated.
Location: La Center, WA, USA Remote: Yes Willing to relocate: Yes Technologies: Python, FastAPI, Node.js, React, Next.js, TypeScript, LangChain, LangGraph, LlamaIndex, OpenAI, Claude, Gemini, RAG, Agentic AI, Vector Databases (Pinecone, Weaviate, FAISS, pgvector), AWS (Bedrock, SageMaker, ECS, Lambda, EC2, S3), GCP, Docker, Kubernetes, PostgreSQL, Redis, Elasticsearch, Kafka, WebSockets, LiveKit, Deepgram, Whisper, ElevenLabs Résumé/CV: https://drive.google.com/file/d/16OnzHA6ljIFV0jh4TCLdAMgB5__... Email: benjaminkrueger1@outlook.com Summary: Senior AI Engineer with 9+ years of software engineering experience, including 5+ years building production AI applications. I've developed multimodal AI systems, RAG platforms, AI agents, real-time voice assistants, an…
Location: La Center, WA, USA Remote: Yes Willing to relocate: Yes Technologies: Python, FastAPI, Node.js, React, Next.js, TypeScript, LangChain, LangGraph, LlamaIndex, OpenAI, Claude, Gemini, RAG, Agentic AI, Vector Databases (Pinecone, Weaviate, FAISS, pgvector), AWS (Bedrock, SageMaker, ECS, Lambda, EC2, S3), GCP, Docker, Kubernetes, PostgreSQL, Redis, Elasticsearch, Kafka, WebSockets, LiveKit, Deepgram, Whisper, ElevenLabs Résumé/CV: https://drive.google.com/file/d/16OnzHA6ljIFV0jh4TCLdAMgB5__... Email: benjaminkrueger1@outlook.com Summary: Senior AI Engineer with 9+ years of software engineering experience, including 5+ years building production AI applications. I've developed multimodal AI systems, RAG platforms, AI agents, real-time voice assistants, an…
Location: La Center, WA, USA Remote: Yes Willing to relocate: Yes Technologies: Python, FastAPI, Node.js, React, Next.js, TypeScript, LangChain, LangGraph, LlamaIndex, OpenAI, Claude, Gemini, RAG, Agentic AI, Vector Databases (Pinecone, Weaviate, FAISS, pgvector), AWS (Bedrock, SageMaker, ECS, Lambda, EC2, S3), GCP, Docker, Kubernetes, PostgreSQL, Redis, Elasticsearch, Kafka, WebSockets, LiveKit, Deepgram, Whisper, ElevenLabs Résumé/CV: https://drive.google.com/file/d/16OnzHA6ljIFV0jh4TCLdAMgB5__... Email: benjaminkrueger1@outlook.com Summary: Senior AI Engineer with 9+ years of software engineering experience, including 5+ years building production AI applications. I've developed multimodal AI systems, RAG platforms, AI agents, real-time voice assistants, an…
Location: La Center, WA, USA Remote: Yes Willing to relocate: Yes Technologies: Python, FastAPI, Node.js, React, Next.js, TypeScript, LangChain, LangGraph, LlamaIndex, OpenAI, Claude, Gemini, RAG, Agentic AI, Vector Databases (Pinecone, Weaviate, FAISS, pgvector), AWS (Bedrock, SageMaker, ECS, Lambda, EC2, S3), GCP, Docker, Kubernetes, PostgreSQL, Redis, Elasticsearch, Kafka, WebSockets, LiveKit, Deepgram, Whisper, ElevenLabs Résumé/CV: https://drive.google.com/file/d/16OnzHA6ljIFV0jh4TCLdAMgB5__... Email: benjaminkrueger1@outlook.com Summary: Senior AI Engineer with 9+ years of software engineering experience, including 5+ years building production AI applications. I've developed multimodal AI systems, RAG platforms, AI agents, real-time voice assistants, an…
Methodology: HN Search returns recent public items matching a monitored company name. AIIStack stores a short normalized excerpt and the original link, deduplicates by company/provider/item ID, and creates an activity signal only after a threshold of newly observed records. Review the original discussion before making a decision.