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Article URL: https://github.com/TangibleResearch/xtra Comments URL: https://news.ycombinator.com/item?id=48687823 Points: 1 # Comments: 0

Article URL: https://github.com/tetherto/qvac Comments URL: https://news.ycombinator.com/item?id=48687796 Points: 1 # Comments: 0

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<p>I have a confession. Somewhere around day nine of this experiment, I almost quit and went back to my old setup. Not because ChatGPT was bad. Because <em>I</em> was bad at using it. I kept typing half-questions the way I'd type into Google, hitting enter, and getting answers that were technically correct and completely useless.</p> <p>It took me about a week to realize the problem wasn't the tool. It was twelve years of muscle memory.</p> <p>This post is the long version of what happened when

Article URL: https://compare-lab.xyz/ai-agent-frameworks/ Comments URL: https://news.ycombinator.com/item?id=48687722 Points: 1 # Comments: 0

<h1> Making of Aantraa </h1> <p><strong>aantraa.site</strong> — AI audio & video translation, caption generator, and viral shorts cutter.</p> <h2> Under the Hood </h2> <p>I run a small YouTube channel. I'm not a full-time content creator, but YouTube is a solid platform to gain traffic for your online work, business, project, or idea.</p> <p><strong>Aantraa</strong> is what I built in a week. The main concept is simple:</p> <ul> <li> <strong>Video translation</strong> into multiple languages</li

Article URL: https://github.com/team-telnyx/telnyx-code-examples/tree/main/build-rag-with-telnyx-inference-python Comments URL: https://news.ycombinator.com/item?id=48687698 Points: 1 # Comments: 1

AI startup Lindy ditched Claude entirely for Deepseek after AI costs exceeded personnel costs. CEO Flo Crivello calls it "a matter of survival for the business." The article AI startup Lindy ditched Claude entirely for Deepseek, saving millions as cost pressure mounts on Anthropic appeared first on The Decoder .

Fine-tune open language models locally on your Mac using MLX. No cloud GPUs or costs required.

A huge mismatch uncovered in data from 3 million shoppers. ScienceAlert stories are written, fact-checked, and edited by humans, never generated by AI. Don't miss a story, subscribe here.

It's a stretch to think that the continent can build a top-tier model, but it has an advantage: Donald Trump.

Why memorizing for the exam doesn't mean you understand the subject The post Water Cooler Small Talk, Ep. 11: Overfitting in RAG evaluation appeared first on Towards Data Science .

Actionable errors with paste-ready fix prompts, first-party Skills for the dev loop and Cache Components, and tooling that keeps coding agents in sync with your project.

This Utah data center was originally slated to be 62 square miles. This is an incomprehensible size to me. I know there's power facilities and such, but this seems very big. Can anybody here explain to me how to do the math and model the calculations for these? I have been to big Colo facilities but I don't know of anything even approaching this scale. How much compute is estimated to be in these? Do we even have enough chips to fill these? How much AI compute is needed and for what industries?

We have a new standard policy for releasing frontier AI models. It is not good.

In this post, we explore how Cara, built in cooperation with AWS, addresses these challenges. We walk through the technical design decisions and the AWS services that support the solution. We also share measurable outcomes Cara has delivered for enterprise brokerages.

In this post, you learn how Stripe built a production-grade AI agent system for financial compliance. We cover the technical architecture of Stripe’s ReAct agent framework and the infrastructure decisions behind a dedicated agent service. We also discuss the role of human oversight in maintaining accountability, and key lessons about task decomposition, orchestration patterns, and cost optimization through prompt caching. By the end, you will understand how to design agentic systems that scale c

<!-- SC_OFF --><div class="md"><p>My question on live continual learning use cases was removed by moderators here because they think i asked basic level question about live continual learning which i thought is a frontier level research. But anyways. Is anyone interested in talking about continual learning (live) and catastrophic forgetting? </p> </div><!-- SC_ON --> submitted by <a href="https://www.reddit.com/user/fourwheels2512"> /u/fourwheels2512 </a> <br/> <span><a href="https://www.reddit.

It's been two weeks since Anthropic took its Mythos-class models offline after a Friday evening ultimatum from the Trump administration. The company sprang into action immediately, sending a barrage of executives to Washington, DC. But updates have been suspiciously lacking, with no resolution in sight. Anthropic declined to comment multiple times this week about the […]

<p>Sam Altman announces limited preview of GPT 5.6 in move that echoes launch of Anthropic’s Mythos</p><ul><li><p><a href="https://www.theguardian.com/business/live/2026/jun/26/uk-food-drink-exports-fall-us-tariffs-brexit-trade-friction-stock-market-ftse-pound-oil-latest-news-updates">Business live – latest updates</a></p></li></ul><p>OpenAI is staggering the release of its latest AI model after a request from the US government, in a move echoing the launch of Anthropic’s Mythos product.</p><p>S

this is an ai I made, it is to try and lessen tuition fees by using the ai study. Comments URL: https://news.ycombinator.com/item?id=48686764 Points: 1 # Comments: 0

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Nvidia has dominated the AI chip market for years, but the era of total dependence might be ending. OpenAI just shared its plans to spice things up with Jalapeño, its custom inference chip built with Broadcom, joining Google, Apple, and SpaceX in a growing list of companies building their way out of single-supplier risk. The goal is less of a […]

Orbbec presented industrial-grade 3D cameras for challenging automation scenarios, as well as AI integration for enhanced robotic perception. The post Orbbec shows AI-powered vision systems at Automate 2026 appeared first on The Robot Report .

Article URL: https://nexisearch.com Comments URL: https://news.ycombinator.com/item?id=48686676 Points: 1 # Comments: 1

A high-severity flaw in Amazon Q Developer let a malicious repository run commands and steal a developer's cloud credentials. The path was short: a developer opens the repo, trusts the workspace, and Amazon Q does the rest. Amazon has patched it. Tracked as CVE-2026-12957 (CVSS 8.5), the bug sat in how Amazon's AI coding assistant handled Model Context Protocol (MCP) servers. Wiz

Article URL: https://rondoflow.app/ Comments URL: https://news.ycombinator.com/item?id=48686649 Points: 1 # Comments: 0

This article covers five concrete agentic workflows, one for each major stage of a data science pipeline.

Enterprise Document Intelligence [Vol.1 #M1] - The thesis behind every architectural choice in this series The post Amplify the Expert: A Philosophy for Building Enterprise RAG appeared first on Towards Data Science .

<!-- SC_OFF --><div class="md"><p>I'm proposing a way to handle massive context longer than a model's context window by treating semantic compression as the noise function of a diffusion-like process. Instead of denoising masked tokens into coherent text (like DiffusionGemma or Nemotron-Diffusion do for generation), the model reads the source document in multiple passes at decreasing compression levels, heavy summary first, verbatim last all the while it iteratively refines an "integration state

More than half of users now let bots handle email, so service is headed for shutdown

With one exception. ScienceAlert stories are written, fact-checked, and edited by humans, never generated by AI. Don't miss a story, subscribe here.

To help robots do chores in places like homes and factories, a new approach from MIT uses one language model to clarify users’ instructions, then another to ignore irrelevant info.

Aseon Labs, which came out of Y Combinator's 2026 spring cohort, has raised $10 million from Crane Venture Partners and others.

Article URL: https://novakit.tech/ Comments URL: https://news.ycombinator.com/item?id=48686082 Points: 1 # Comments: 0

SAP aligns fragmented commerce data structures to enable operational AI personalisation at the execution layer. Enterprise leadership routinely establishes objectives to anticipate customer requirements and deliver relevant interactions across digital touchpoints. However, the actual infrastructure running inside these enterprises fails to support systematic execution at the required volume. Recommendation engines display generic product listings because […] The post SAP aligns commerce data for

A WebRTC-native, audio-first conversational-AI framework for Go. Pipecat is great, and jargo is a port of it — the architecture and many design decisions are Pipecat's. But, I prefer Golang. Comments URL: https://news.ycombinator.com/item?id=48686042 Points: 3 # Comments: 0

Advisors are telling OpenAI to hold off on going public until next year. The triggers: volatile tech markets and SpaceX's weak stock performance after its record IPO. SoftBank, one of OpenAI's biggest backers, lost 13 percent in a single day. The article Altman won't go public for less than $1 trillion, so OpenAI's IPO may slip to 2027 appeared first on The Decoder .

Article URL: https://www.sicpers.info/2026/06/free-software-and-llm-contribution-policies/ Comments URL: https://news.ycombinator.com/item?id=48685983 Points: 2 # Comments: 0