greenbeans12
Joined 4 years ago
Joined 4 years ago
The goal of the 2 stage agent is to prevent resource consumption when something isn’t a scam/harmful, and reduce false positives by doing a second pass if something flags.
Antivirus programs are antiquated, bloated, and resource intensive and fail to protect users from scam sites. When I had a family member ask me what antivirus to buy for web threats I couldn't recommend anything.
We launched Ward to try and address this problem for our family members, but realized quickly it can help basically any non-savvy internet user - elders, children, non-technical folks, etc. It uses Gemini Nano in the browser under the hood for scanning the DOM and URL for anything suspicious, and has a cloud-enabled mode for supporting less capable hardware like Chromebooks.
We're currently open source and are looking for any and all feedback and testers. We're free in our beta with a high soft quota. When a threat is detected, the user will immediately be directed to stop and click the extension for details, blocking the scam from proceeding.
There's prob not many people on HN who would fall for these, but would you pay for this for peace of mind for a loved one?
Will poke around and see if there's interest here, thank you!
We’re building Ward, a security browser extension that uses Gemini Nano, an on-device LLM, to scan for phishing, scams, and other threats from the DOM.
Think of an antivirus for everyday web users, like young children, older adults, and less savvy individuals.
We recently participated in the Google Chrome Built-in AI Challenge 2025 and have submitted to the Chrome Web Store.
We’re looking to meet people who may know someone Ward is good for and would want to provide feedback. Alternatively, we’d love to chat with any IT Managers/Directors of Security/Google Apps Admins who would be interested in piloting us as an anti-phishing enterprise solution.
You can DM or hit me at fitzgeraldcedric(AT)gmail.com :)
You can check it out at https://antiques-id-1094885296405.us-central1.run.app/.
And yet it still uses the em dash (—), or long hyphen, far more frequently than is found in typical written communication.
Is OpenAI "locked in" to the em dash as a result of its use of unsupervised training of model outputs on their subsequent models? Or are they willingly keeping it now a signature part of their brand?
It seems odd for them to continue to produce "AI-sounding" text from their newest model's default prompt - but at least it makes it easier to identify AI-generated content.
There's no mention of the functional elements of a software engineering role - incident response, working with auditors to define and maintain controls for internal services, handling escalated account support & fraud, working on DevEx, selling shovels (MCPing your consumer-facing APIs/services), getting on customer calls to help sell your company's X feature, managing people downwards and upwards.
The piece kinda reads like remorse over sunken costs and attachment of knowledge to personality. If you twiddle your thumbs and stay static in your role, you will be replaced. It's the differentiation that sets employees apart. And attaching yourself to functions instead of knowledge is the only way to stay afloat.