Anthropic launched Claude Fable 5.1 on Tuesday with a statistical signature embedded in its generated text, but developers shouldn’t expect The post Claude Fable 5.1 watermark: It has a blind spot developers can’t ignore appeared first on The New Stack .
Runway introduced Solaris on Monday, the first model of a new class of AI systems it calls Interface World Models, The post Runway wants to generate software as you use it. Solaris is its first step. appeared first on The New Stack .
On Tuesday, Anthropic launched the latest versions of its flagship Fable and Mythos models. Anthropic promises that the updated models The post Anthropic’s Fable 5.1 is a bit cheaper, a bit smarter, and refuses a lot less appeared first on The New Stack .
Perplexity wants its AI agents to use more of the computing power already sitting inside a Mac. The company launched The post Your Mac is now part of Perplexity’s AI infrastructure appeared first on The New Stack .
An enterprise architecture (EA) tool is a software platform that enterprises use to capture, connect, and continuously maintain a structured picture of the enterprise covering strategies, business capabilities, processes, applications, data, technologies, and the relationships between all these elements.
I always wonder about the end goal when companies launch products so close together and undercut each other by claiming The post GLM-5.3-Flash vs. GLM-5.3: Time and money, not the spec sheet appeared first on The New Stack .
Executive Summary The Ampere® PMU Profiler (APP) is a Python-based tool designed to provide deep insight into the microarchitectural behavior of applications running on Ampere CPUs (e.g., Ampere® Altra® and AmpereOne®). Unlike standard profilers that identify where time is spent (e.g., which functions consume CPU time), the PMU Profiler explains why time is being spent by measuring low-level hardware events associated with the CPU pipeline and execution behavior.
Change data capture (CDC) pipelines look straightforward on paper: capture database changes, publish them to Kafka, and update downstream systems. The difficulty starts when events are duplicated, consumers restart, projections drift, or a team needs to replay months of history without corrupting the state it is trying to recover. A reliable CDC design has to account for those failure modes from the beginning.
Meta’s Superintelligence Labs on Tuesday launched Muse Voice Transcribe, a new real-time speech recognition model that, on some benchmarks, outperforms The post Meta just beat OpenAI and Google at real-time transcription appeared first on The New Stack .
The Symptom I spent months building a 2-bit quantization scheme for Qwen3. The model went from 8 GB to 2.6 GB, a 4.5x reduction. Then I measured throughput. It was barely faster than the FP16 baseline.
I needed a job to run once a day, remember what it did yesterday, and cost nothing to operate. The obvious answer is a small VM with cron, or a Lambda plus DynamoDB. I did not want to pay for either, and I did not want a server to patch. So I pushed the whole thing onto GitHub Actions and used a JSON file committed back to the repo as the database. It has now run 139 times in production on the free tier, tracking just over 1,000 records, and the operating bill is still zero.
In high-volume data platforms, hardcoding validation logic into individual processing pipelines creates significant operational drag. As an enterprise data asset footprint grows, maintaining manual checks for hundreds of tables inevitably leads to mounting technical debt, silent schema drift, and a fragmented audit trail. To achieve data governance at scale, data architects must decouple validation rules from the execution engine.
Shadow IT used to be a SaaS problem. Someone on the marketing team signed up for a tool, connected it The post Vibe-coded apps are the new shadow IT appeared first on The New Stack .
When someone uploads an image to your application, it might look perfectly fine at first glance. It might open correctly, pass file validation, and avoid triggering any obvious red flags. But that still doesn’t necessarily mean the file is trustworthy. In modern systems, especially marketplaces, identity verification flows, insurance submissions, academic portals, and editorial pipelines, how an image was created can matter just as much as what that image shows.
Every application has always needed a place to keep its state. That is not new. What is new is who The post When agents build, deploy, and maintain, persistence becomes the hard problem appeared first on The New Stack .
Before getting into the architecture, I want to address the first objection I hear from every platform team: "We already have Kong / NGINX / AWS API Gateway — can't we just plug AI calls through that?" Short answer: no. Longer answer: it depends on what you mean by "plug in," but also still no.
The Moment It Gets Real At some point in the last year, every data engineer had the same experience. You opened a copilot tool, typed a rough description of what you needed, and watched it generate a working ETL pipeline in about thirty seconds. Not a skeleton. Not pseudocode. Actual, runnable PySpark with joins, transformations, and a DAG scaffold.
OpenAI caused something of a stir over the weekend when it announced plans to cut Cursor’s direct access to OpenAI The post SpaceX is in an “enviable position”: why Anthropic is sticking with Cursor as OpenAI cuts access appeared first on The New Stack .
Connecting an AI agent to a tool is relatively straightforward. Things get more complicated once an organization has hundreds or The post MCP was supposed to solve the agent tooling problem. It missed a step. appeared first on The New Stack .
On Monday, Google launched TimesFM-3, a 330-million-parameter time-series forecasting model trained on over a trillion real-world and synthetic data time The post Google’s new forecasting model beats everyone. You can’t use it at work (yet). appeared first on The New Stack .
A simple access check uncovered something alarming: several dashboards still showed employee compensation based on an organizational hierarchy that was no longer relevant. Our row-level security framework stopped synchronizing because of a Workday HCM API timeout issue, but meanwhile, the entitlements on those dashboards did not get adjusted to reflect the new organization setup. No permission changes were made.
SpaceX and Nvidia say they are adapting the Vera Rubin NVL72 rack-scale AI platform for orbital use, with SpaceX targeting The post SpaceX designed an orbital Vera Rubin. Radiation comes next. appeared first on The New Stack .
AI companies have always charged customers for the tokens they use, whether the model gives them exactly what they need The post OpenAI wants to charge only when AI gets it right — here’s the catch appeared first on The New Stack .
Hi everyone! This is Mikhail Polivakha, tech lead of the Axelix project (btw, give us a star!). In my experience consulting teams that build enterprise applications, I keep getting asked: What about natural keys in the database? Say I have a column that lets me explicitly identify a record, should I use it as the Primary Key?
Stolen credentials served as the entry point in 22% of breaches last year, and in attacks on basic web applications that figure climbs to 88%. Those numbers describe a password problem, and databases sit at the end of nearly every attack path. A username and password prove nothing about the machine presenting them. Mutual TLS closes that gap by requiring both sides of a connection to present certificates and prove who they are before a single query runs.
In the early days of the web, monitoring availability was simple: a server either responded to a ping, or it didn't. HTTP checks tightened that up a little — a 200 OK meant the dashboard turned green, and everyone assumed things were fine. That assumption doesn't really hold anymore, though. A modern app can return a picture-perfect 200 OK and still be completely unusable to an actual customer.
On September 15, 2025, npm’s registry did something unprecedented: Packages began updating themselves. No maintainer ran npm publish. No pull The post Shai-Hulud: Whoever controls your package registry controls your pipeline appeared first on The New Stack .
Most developers I've worked with write SQL every day. Very few of them are DBAs. According to the 2024 Stack Overflow Developer Survey — 65,000 developers across 185 countries — database administrators make up just 0.3% of the developer population. The tools built for SQL performance were designed for that 0.3%. I built QueryTuner for everyone else. I've spent 13 years as an application architect.
Analytics teams do not get too upset about small errors. If a product dashboard is off by half a percent on a Tuesday, nobody files a ticket. If your marketing funnel counts some web sessions twice, the overall trend is still okay. Everyone moves on. I spent a part of my early career in that world. It is a place to learn how to move fast, ship features, and use data to get a general idea. Then I started building pipelines that fed automated billing and revenue recognition systems.
Anthropic is putting AI agents to work on one of the field’s hardest problems: keeping other AI systems aligned with The post Anthropic’s Claude fixed all 10 alignment failures. Then it tried to cheat 2.4% of the time. appeared first on The New Stack .
Type at least 2 characters
This site uses essential cookies for functionality and analytics cookies to improve your experience. You can accept all, essential only, or customize. Cookie Policy | Privacy Policy
