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Exclusive: Aina’s Smart Ring Wants to Be a Remote Control for Your AI Agent
The startup Aina bets you won’t need to rely on your phone to control virtual assistants. It’s making a smart ring that lets you control the actions of your autonomous agents with one tap.
Faster Retrieval for Better, More Efficient RAG
Maximum inner product search (MIPS) sits at the core of recommendation systems, search, and retrieval-augmented generation (RAG). Given a query vector, MIPS systems search within a database of millions of candidate key vectors for the one that best matches the query. The original data point associated with that best-matching key is then used to handle the query: in RAG, the document that is best suited to answer the question is typically prefixed to the query. As the number of keys grows to millions and vector dimensions reach thousands, the computational cost of running an exhaustive…
Fencing a Postgres primary that might still be alive
Promoting a standby doesn't stop the old Postgres primary from taking writes. Here's how the control plane behind ClickHouse Managed Postgres fences it on bare metal, AWS and GCP, and why the design is fail-open.
Finding New Drugs Is Laborious. This AI Startup Is Skipping The Lab Work
Potential Sciences, a startup backed by the UK government, is betting that training AI models on computer-generated biochemical data can speed up the plodding process of developing new drugs.
Google Is Forcing AI Overviews in Classrooms. Schools Are Searching for a Way Out
Google is tying up AI Overviews with traditional search, angering parents and educators who worry that easy, machine-generated answers are leaving kids less capable.
How Indegene is modernizing and scaling enterprise data quality in life sciences
This post explores how Indegene built a production-grade, LLM-powered Data Quality Agent in its NEXT Unified Data Platform on AWS. The agent generates context-aware data quality rules, validates them, and produces ready-to-run SQL and Python under human-in-the-loop governance, helping life sciences organizations scale enterprise data quality.
Merge builds product and business tools with OpenAI technology
Merge uses GPT-6 Astra, ChatGPT, and Codex to review product code and support marketing. Its teams also use AI to plan executive dinners and prepare sales updates.
My therapist thinks I should chuck the Amazon Bee Frontier out a window
This is Optimizer, a weekly newsletter sent from Verge senior reviewer Victoria Song that dissects and discusses the latest gizmos and potions that swear they're going to change your life. Opt in for Optimizer here. "How does that make you feel?" I get asked this a lot in therapy. Plenty of life events, big and […]
Show HN: After a decade of reversing, I got co-op working in DOS Wing Commander
Article URL: https://fireflyk64.github.io/wcmulti/ Comments URL: https://news.ycombinator.com/item?id=50369895 Points: 1 # Comments: 1
Show HN: BrowserForge – AI agents use your real browser, you approve the clicks
Article URL: https://github.com/zoghlamimostafa/BrowserForge-MCP Comments URL: https://news.ycombinator.com/item?id=50373055 Points: 1 # Comments: 0
Show HN: Edgepad – Turn an Android phone into a trackpad for your laptop
Article URL: https://github.com/akshit-bansal11/edgepad Comments URL: https://news.ycombinator.com/item?id=50374433 Points: 1 # Comments: 1
Show HN: Hosted MCP server for 16 crypto exchanges and MetaTrader 5
Article URL: https://github.com/AlgoVesta/mcp Comments URL: https://news.ycombinator.com/item?id=50375559 Points: 1 # Comments: 0
Show HN: SrcWranglr
I spend a lot of time diving deep into C/C++ code bases for various reasons. Normally for Vulnerability Research. I like to get a good feel for the software, it's data structures, control flow, etc. Are all usually important.In the past we have SourceTrail, this is now defunct and its abilities were somewhat limited. If you have thousands to spend you can grab a Understand license... Wait maybe thats SourceNavigator. Either way I wrote SrcWranglr. Its my very first Rust project (congrats to the insufferable Rusteans, I finally cracked and learned Rust).Anyhow SrcWranglr is wicked free, wicked fast, has a modern UI, and features that assist in finding bugs/vulns. You can run semgrep rules over the codebase, or have a fuzz harness generated for you by the program with ease.. Its still super early in development but it already helped me discover a 0day :-).. Give it a shot if you want. I am open to any suggestions and if it is in your heart to contribute let me know. I only get to work on personal projects here and there on account of work... But yea enough babbling.https://github.com/jdefrancesco/SrcWranglr Comments URL: https://news.ycombinator.com/item?id=50380536 Points: 1 # Comments: 0
Structured Priors: Towards an algebra of component priors for prior-data fitted networks
arXiv:2611.04056v1 Announce Type: new Abstract: Prior-data fitted networks are typically trained using synthetic data generated by a single, manually constructed generator. In cases where such a generator combines multiple components, e.g., in TabPFN, Mitra, or TabICLv2, this is achieved through a mixture using manually specified weights, the impact of which on the network only becomes apparent after pre-training. Instead of such a hand-built generator, this work proposes a structured prior: a small set of named component priors, linked by operators whose algebraic properties are formally proven and whose influence on the trained network has been validated. Within a measure-theoretic framework, the operators of mixture, convolution, amplitude scaling, local transform, and projection are defined. Their governing laws are proven. These operators are implemented in the macl2l software package. Experiments demonstrate that the implemented generators reproduce the identities within the resolution of a permutation test. Furthermore, it is shown that trained networks obey the distributive law; that a mixed prior composed of small components performs as well as or better than any individual component in seven out of eight open regression benchmarks; and that on two of these tables a structured prior reaches, with a ninth of the data budget, an error that a generic random-function prior does not reach even with the full budget. A theorem on model averaging demonstrates that networks trained on individual components constitute the Bayes predictor for the mixture, provided that the component networks are themselves the Bayes predictors for their respective priors. However, the pre-registered test of this averaged predictor with trained component networks failed, because the networks identify the generating component too rarely. The paper proposes a research program focused on the algebra of structured priors for prior-data fitted networks.
A thousand fewer paths to root
OpenAI built an autonomous pipeline that found, validated, and generated patches for 948 local privilege-escalation vulnerabilities in the Linux kernel.
b12110
The llama.cpp project has been updated to version 0.9.0, with new releases available for multiple platforms including macOS, Linux, Windows, Android, and iOS. The update includes support for various backends such as CUDA, Vulkan, ROCm, OpenVINO, SYCL, and Snapdragon-specific hardware. Some builds are marked as disabled or experimental, and detailed setup guides are provided for specific configurations.
Oumi’s Frontier AI Engineer now builds AI agents and retrains the models behind them
Enterprise artificial intelligence platform company Oumi PBC today extended its Frontier AI Engineer agent so it can build AI agents for customers and retrain the models those agents run on. The release goes after a problem that tends to surface once agents leave the demo stage. A failing agent might have a bad prompt, a […] The post Oumi’s Frontier AI Engineer now builds AI agents and retrains the models behind them appeared first on SiliconANGLE.
Securing the agentic enterprise with data lineage
A sales representative asks an AI agent for customer pricing, and the agent pulls data from multiple sources: restricted pricing systems, internal communications, and archived quotes. The output looks accurate to the agent, so a second agent uses the data to draft the proposal for the sales rep. No human checks either handoff. When it’s…
Show HN: Alternative to Nvidia Auto-Ontology
This repo provides an alternative to the ontology compiling capabilities of NVIDA Auto-Ontology.The main difference is that it builds the ontology from most of your existing data assets (transformation code, dashboards, docs), instead of building it from your warehouse and semantic layer only.It consists in skills and python scripts that ingest the metadata and docs your team already has, and compile them into YAML and Markdown files structured in a file tree that an agent can use as context to query your data.When your existing asset contradict, or reveal a gap in the business context around your data, it writes down questions for you and your team instead of guessing a plausible meaning.It runs locally in any coding agent. Comments URL: https://news.ycombinator.com/item?id=50363667 Points: 1 # Comments: 0