Article URL: https://dev.to/fmarzochi/i-got-tired-of-re-explaining-my-project-to-ai-every-session-so-i-built-egc-3k8e Comments URL: https://news.ycombinator.com/item?id=48641359 Points: 1 # Comments: 0
Presented by F5 When enterprises move AI workloads from pilot to production, data delivery often becomes the factor that determines whether those systems can scale reliably. Point-to-point architectures connecting storage directly to compute hold up under demonstration conditions, but they often break down under sustained, concurrent production traffic. The result is stalled inference pipelines, delayed RAG systems, underutilized GPUs, and SLA violations, all of which carry direct business conse
It’s crazy how much Fullmetal Alchemist mimics how AI is playing out. We pour human souls into a philosopher’s stone that we think will solve all our problems and cure death. It doesn’t exactly do this, but you can use it to create homunculi that behave like people, Chat, Claude, GLM. The homunculus is a puree of the souls that were used to create it.
Article URL: https://github.com/misnaej/forge Comments URL: https://news.ycombinator.com/item?id=48641302 Points: 1 # Comments: 0
For the past few days, we have been working on an open-source, self-hosted real-time speech-to-speech translation tool called PolyTalk. The goal was that there are people and organisations who need privacy around the tool they are using, and for the speech-to-speech translation, we haven't had many options. We built the tool with Ollama, Faster Whisper, and Piper. The tool is not limited to speech-to-speech translation only, but you can also share any of your tabs, whether you're watching a YouT
We build a practical GLM-5.2 workflow using its hosted, OpenAI-compatible API instead of running the model locally. We set up multiple providers, load the API key securely, and create a reusable chat wrapper. We then test thinking-effort control, streamed reasoning, function calling, a tool-using agent, structured JSON output, and long-context retrieval. We close with token and cost accounting so every demo stays measurable. The post GLM-5.2 OpenAI-Compatible API: A Hands-On Guide to Reasoning E
Article URL: https://devcyc.life/current-ai-is-like-the-film-company-producing-tv-series-or-movies/ Comments URL: https://news.ycombinator.com/item?id=48641141 Points: 1 # Comments: 0
I built minLlama because I wanted a Llama implementation that was easy to understand and hack for KV cache compression research. There is also a PyTorch and Jax version in ~140 lines. Would be interested in feedback from people who have written transformer implementations before, are there any implementation "tricks" that I'm missing (e.g, cleaner KV cache for PyTorch/Jax or rope tricks)? Comments URL: https://news.ycombinator.com/item?id=48641107 Points: 1 # Comments: 0
Article URL: https://antics.gg/ Comments URL: https://news.ycombinator.com/item?id=48641102 Points: 2 # Comments: 0
Article URL: https://siaseo.com Comments URL: https://news.ycombinator.com/item?id=48641081 Points: 1 # Comments: 1
<p> AI video & audio effects SDK for real-time apps </p> <p> <a href="https://www.producthunt.com/products/effects-sdk?utm_campaign=producthunt-atom-posts-feed&utm_medium=rss-feed&utm_source=producthunt-atom-posts-feed">Discussion</a> | <a href="https://www.producthunt.com/r/p/1178725?app_id=339">Link</a> </p>
Hi, I run an open source Earth Memory project https://emem.dev [ https://github.com/Vortx-AI/emem ], idea is to be an open protocol for AI agents to leverage Earth Intelligence. Would love to understand shall we pitch ourselves as SaaS for AI or our focus on open source protocol might be a huge payback in longer run. Thanks Comments URL: https://news.ycombinator.com/item?id=48641049 Points: 2 # Comments: 0
<p> We warm your prospects before reaching out </p> <p> <a href="https://www.producthunt.com/products/fuzzy-ai-2?utm_campaign=producthunt-atom-posts-feed&utm_medium=rss-feed&utm_source=producthunt-atom-posts-feed">Discussion</a> | <a href="https://www.producthunt.com/r/p/1178721?app_id=339">Link</a> </p>
Article URL: https://checkmyvin.net/ Comments URL: https://news.ycombinator.com/item?id=48640996 Points: 1 # Comments: 0
dxmax ( https://dxmax.cc ) generates multi-page product wireframes from a prompt. Each project is a browsable filesystem of HTML/CSS pages sharing a design system. Your edit prompts lead to targeted patches rather than full-page regenerations. When you start a project you get several design variations, pick one switch between them anytime. Output is editable HTML. Share and edit/prompt with team-mates in real-time. In-built demand data-based idea catalog (Lodestar Engine): Tons of SaaS markets m
Telecom operators have seen remarkable returns from using generative AI to automate network management, customer care and back-office operations. Most of that impact has been task‑based: automation that speeds up predetermined steps while people manually correlate insights and direct next steps. Automation is no longer the finish line — it’s the launchpad to autonomy. The […]
Telecom operators are adopting AI across network operations, customer care, and back-office workflows, but most are still early in the journey to autonomy. In...
Article URL: https://twitter.com/contralabs_ai/status/2067642363909144932 Comments URL: https://news.ycombinator.com/item?id=48640897 Points: 1 # Comments: 0
<!-- SC_OFF --><div class="md"><p>Hey everyone,</p> <p>I recently landed a Computer Vision internship after prepping with this checklist I put together. It starts with core math and ML fundamentals, then moves into the specialized CV topics that actually come up in interviews.</p> <p>I compressed it into just 7 days due to time pressure, so it's very actionable and easy to personalize for your own pace. Sharing it here in case it's useful for others prepping for ML/CV roles:</p> <p>→ <a href="ht
Article URL: https://ryanspahn.substack.com/p/how-listening-to-only-ai-music-changes Comments URL: https://news.ycombinator.com/item?id=48640834 Points: 1 # Comments: 0
So if you're finally done screwing around with the so called future, and want to get back to the human in the loop programming, this tool is for you. It'll take any output from ANY ai, ANY model no matter how lite or cheap and stick that output into your codebase quickly and accurately. The thing is just about unbreakable. Comments URL: https://news.ycombinator.com/item?id=48640806 Points: 1 # Comments: 0
Gentlepeople, the NIST Randomness Beacon has seen an unannounced, unacknowledged outtage from pulse ID #1827762 (2026-06-11T16:57:00.000Z) to #1827763 (2026-06-22T17:03:00.000Z). I reached out to beacon@nist.gov (and via twitter/x.com) but got no reply whatsoever. Gemini hallucinated a story about a government shut-down and that the tech community was well aware of that - without proof, of course. Question: Does anyone have accurate information as to what caused this outtage? Comments URL: https
Article URL: https://www.invook.ai Comments URL: https://news.ycombinator.com/item?id=48640730 Points: 1 # Comments: 0
Bosses told to step up and get cybersecurity right
Hey guys, just letting you know that the latest version of the code stitcher is available, and has many new features including a major overhaul of the stitch viewer / file version history including it's own linter and editor facilities. https://github.com/ue-patcher/code_stitcher/releases Comments URL: https://news.ycombinator.com/item?id=48640679 Points: 2 # Comments: 0
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Problem Im solving: Im running 30+ fully autonomous agents. In some rare cases they get blocked because they cannot decide what direction to take. So I built a communication channel for them. So in case they get blocked they can ask me anything. The base case should be that no questions should arrive to me. But the more I automate the agents the more edge cases I find. That's why I built the `ask-a-human` where all my agents are connected into my phone in the same PWA app. I get push notificatio
Article URL: https://brunelly.com/ Comments URL: https://news.ycombinator.com/item?id=48640407 Points: 1 # Comments: 0
Article URL: https://blog.owulveryck.info/2026/06/22/who-does-what-team-topologies-for-the-agentic-platform.html Comments URL: https://news.ycombinator.com/item?id=48640382 Points: 13 # Comments: 0
PLUS: Indian telco ponders broadband satellites; Samsung goes all-in on OpenAI; Vietnam centrally plans ten tech giants; and more!
<p>I believe that chatbots have no place in a decent society, and am repelled by the topic of AI in general. But could I be seduced?</p><p>I received a text message from my editor: “Um, is it unethical to ask you to get an AI bf?? You can prob say no.”</p><p>Resentment. Contempt! Sorrow. Unease. I love text messaging. I have text message exchanges with, let’s say, 15 people a day. If you want me to do something, you should ask via text message. My editor knows this. She also knows, though it’s m
arXiv:2606.21448v1 Announce Type: new Abstract: As large language models scale, memory bandwidth for key-value caches and retrieval-augmented generation systems becomes a critical bottleneck. While 1-bit quantization addresses this constraint, recent TurboQuant relies on dense random rotation matrices to condition the vector distribution before quantization. This projection demands millions of floating-point multiplications per embedding, making it difficult to deploy on constrained edge silicon
arXiv:2606.20895v1 Announce Type: new Abstract: Large Language Models (LLMs) offer a promising path to automate Clinical Trial Matching (CTM), but still struggle with the deterministic verification required for complex eligibility criteria. Conversely, purely symbolic methods provide formal rigour but break down when faced with incomplete patient records and noisy clinical evidence. To bridge this gap, we investigate a hybrid framework for CTM combining LLMs with logical verification. In particu
arXiv:2606.20950v1 Announce Type: new Abstract: Executable evaluation -- checking the consequences of an agent's actions with a program rather than grading its prose -- has become a prominent way to assess tool-using AI agents in software settings. Electric power engineering has not yet had an analogous benchmark: language-model use is still dominated by retrieval and text question answering, while agents acting on power-system artifacts remain mostly academic prototypes. We introduce the Power
arXiv:2606.20963v1 Announce Type: new Abstract: Trust in the application of generative Artificial Intelligence (AI) relies on well-governed measurable evidence of performance and safety. In practice, however, evaluation data is often fragmented across systems, inconsistently structured and difficult to compare. We introduce the Generative Responsible AI Data Evaluation Schema (GRAIDES) as a lightweight open-source data model for centralising AI observability across popular vendors. Practical blu
arXiv:2606.20969v1 Announce Type: new Abstract: Generating formal specifications for C programs remains a challenge in formal verification due to the manual effort, expertise, and semantic precision required. While recent advancements in large language models (LLMs) offer promise in automating specification synthesis, current approaches often lack semantic depth and produce unverifiable or incomplete contracts. To address these limitations, we introduce AutoACSL, a novel framework that integrate
arXiv:2606.20978v1 Announce Type: new Abstract: Programming by Demonstration (PbD) offers a human-centered way to author procedural knowledge for LLM agents: users communicate what they want by showing rather than by writing prompts or code, making agent authoring accessible to non-programmers. The natural output of a PbD recording is a flat action log, but how this log is organized before being passed to the agent is an open design question with significant consequences for plan quality. We pro
arXiv:2606.20997v1 Announce Type: new Abstract: Biomedical researchers increasingly use AI-generated analyses and reports to interpret protein-level signals, but static outputs are often insufficient for research decision-making, where users need to inspect evidence, assess uncertainty, compare mechanisms, and refine hypotheses. We present \textsc{BioInsight}, a multi-agent system that moves from static biomedical report generation to interactive evidence-centered interactive interface generatio
