gorkemcetin

Joined 15 years ago

Karma
460
Submissions
221
Member since
Jun 16
Product guy
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Recent submissions

Comment · 11 months ago
The original research paper on IBM’s AI Risk Atlas defines a taxonomy of 40 AI risks. IBM then expanded the online Atlas, and the current IBM documentation lists 100 named risks. Where does the 60 number come from for IBM's list of AI risks?
Comment · 1 year ago
This is interesting. I was thinking about building a similar solution around GRC but this time focusing on AI regulations, AI threats, breaches, 0-days etc. Out of curiosity did you use agents for this or a platform like Exa AI?
Comment · 1 year ago
Maskwise and LLM Guard serve different stages of the AI pipeline. llm-guard basically filters prompts and responses to prevent prompt injection attacks. Maskwise is for preparing datasets before LLM training/fine-tuning. It processes large document collections (PDFs, Office docs, images) to detect & anonymize PII.

Vault is in the works :)

Comment · 1 year ago
There is a campaign that When you subscribe to Lenny’s Newsletter, you’ll get one free year of 10 incredible products, including Bolt, Cursor, Lovable, Replit, v0, Linear, Notion, Perplexity Pro, Superhuman and Granola.

This requires an annual subscription ($200) to the newsletter, but it looks like it's worth if you are a heavy user of those tools.

You must be a new paying customer of the products to take advantage of the free year.

Comment · 1 year ago
For a while, we’ve been developing a DePIN-powered uptime monitoring tool designed to potentially handle data from millions of devices. Our current infrastructure monitoring and uptime management service, (Checkmate) is evolving to include DePIN integration. This will allow users to burn tokens to access data from the UpRock DePIN network.

This is currently how it works under the hood:

- Connect your wallet -> Select the server you want to monitor -> Choose a geographic focus (specific cities, countries, or entire continents) for Checkmate to send ping messages.

While managing large volumes of data isn’t an issue at this stage, visualization remains a challenge. We’ve implemented MapLibre to display the data, giving users the flexibility to send one-off ping requests to the DePIN network or schedule continuous checks (e.g., every minute).

Given the novelty of this concept (similar to RIPE Atlas), visualizations will play a critical role for admins. Here's what we can currently offer on the dashboard:

- Node distribution on a map: Visualize the number of nodes per country.

- Selective probing: Choose probes directly on the map.

- Probe details: View all probes selected for a specific server.

- One-off ping tests: Perform immediate connectivity checks.

I need some feedback on how to move ahead. Since we are just a few weeks away from the general release, it would be great if I could get some thoughts. We’re considering whether this is the right balance of features or if adjustments are needed.

My immediate questions would be:

- If you had access to a global DePIN network for server monitoring, what would you prioritize seeing on the dashboard?

- Would you be interested in seeing historical logs? Like access logs going back to a specific time.

- would you want to customize packet size? (set the size of the packets being sent).

Probably there are others upcoming but I would like to start with a small UI set initially.

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