I've been using pronounciation apps for a few weeks and decided to intentionally butcher some words just to see how strict the feedback was. not subtle mistakes either. I was fully committing to the wrong pronunciation. I've noticed that it still rated some of them as correct or nearly correct. now I'm wondering how much trust I should actually put into pronunciation scores in general. do these apps genuinely analyze pronunciation, or do they sometimes just check whether you're vaguely in the right area? submitted by /u/no-cherrtera [link] [留言]

See how LSEG uses OpenAI to scale trusted AI across its global business, accelerating insights, shrinking release cycles, and empowering 4,000 employees.

I've been with Omnis for years (they were awesome) and they were bought out by JetHost. The transfer took down a bunch of clients. Now I'm arguing with them and they don't offer an online guarantee or a refund. I have to deal with clients whose websites were down. I'm really upset just because I have never had to worry about this. Anybody have cheap reliable registrars? My fave never showed in google, so I figured I'd axe the community if anyone has a good secret one in your pocket submitted by /u/dash-dash-hyphen [link] [留言]

Parents want one thing, and one thing only, out of AI: to add a list of soccer games or "spirit week" theme days from an email or a poorly formatted flyer onto their calendar in one shot. And I have good news for parents with iPhones - the new Siri can finally do this. After […]

Booking travel or paying for subscriptions or for running procurement through Claude or a custom GPT wrapper no confirm button is required anymore. The capability side is mostly solved. What doesn't get talked about enough is what happens when it goes sideways. A stored card sitting in the agent's context means it holds that access the whole session. One bad tool call and it's spending outside what you intended with nothing at the infrastructure level stopping it. Real time card issuance is the cleaner model. Agent requests a card for the specific transaction, purchase completes, card cancels and nothing persists. Who is running agent initiated payments in production right now and what does the architecture look like? submitted by /u/Significant-Plant-4 [link] [留言]

Instead of spending a year raising a formal venture fund, the Sabertooth VC founder used a captive network of LPs to invest in startups like Anthropic, Anduril, and SpaceX.

Hi! I'm in the process of teaching myself HTML and CSS for the very first time. I have a general idea of what I want this website to be and how to structure it. For actual secure access, I am making it on Neocities. For general browsing on the other hand, I want to essentially make a snapshot of whatever the current build of it is and put it on an http as well with the intent of being able to see and browse said website on old hardware like a Dreamcast or Win98 machine. Any help is appreciated! submitted by /u/souls_wandering [link] [留言]

A few months ago I was doing a final pre-release review on a client project before handing it...

At long last, a corporate training you might actually enjoy.

I built a portfolio site that ended up turning into a collection of interactive experiments rather than a traditional resume. > Main Page > Drawing > Text based game > Capture the flag (CTF) It includes: - a live collaborative pixel canvas where visitors draw together - a hidden terminal with a virtual filesystem - small hidden challenges scattered throughout the site - an AI assistant you can talk to It started as a portfolio, but became more of an interactive playground. submitted by /u/Another_bot_beepboop [link] [留言]

We spent the last year building what we think is the missing infrastructure layer for multi-agent systems. Open to everyone starting today. The technical problem: Agents have no identity. In microservices you have a service mesh + IAM. In agent systems you have a Python file. We built a registry where every agent has a first-class ID, version, owner, skill graph. Behavioral evaluation, not function testing. Agents are non-deterministic same input can produce different execution paths. Traditional unit tests don't work. We implemented compound reliability scoring + behavioral regression instead. Composability without rebuilding. Skills are versioned, reusable, agent-inheritable. Inspired by how Kubernetes operators work, applied to agents. Cloud-agnostic deployment with built-in observability traces, cost attribution, drift detection. Model-agnostic. SOC 2 Type II. Genuinely interested in technical feedback especially on the eval methodology and the composability primitive. Free credits this week to test it. https://phinite.ai/?utm_source=reddit&utm_medium=organic&utm_campaign=public_launch_jun2026&utm_content=machinelearning submitted by /u/Embarrassed-Radio319 [link] [留言]