I’ve seen fake accounts created by bad actors attempting to pose as others for gaining remote employment. It’s possible that is what was happening, and the takedown was from LI taking down the profile from the bad actor.
Other times they would just link to real LinkedIn profiles, but the LinkedIn profile will say that they’re not actively looking and are a victim of id fraud basically.
It’s been a huge issue spotting candidates falsifying information since remote work took off unfortunately. They payout is if they can get at least 1 or 2 paychecks before being found out, they’ve made a good profit.
I'm actually curious on the evolution of models as well over time - I created a "created at" group by option to try to broadly visualize how models over time (half calendar years) drift in terms of pareto efficiency. There's a clear trend going up which is good.
I hope to build some better visualizations down the line on model evolution instead of just hacking it onto the current scatterplot.
There's plenty of evidence that good prompts (prompt engineering, tuning) can result in better outputs.
Improving LLM output through better inputs is neither an illusion, nor as easy as learning how to google (entire companies are being built around improving llm outputs and measuring that improvement)
Sure, but tricks & techniques that work with one model often don't translate or are actively harmful with others. Especially when you compare models from today and 6 or more months ago.
Keep in mind that the first reasoning model (o1) was released less than 8 months ago and Claude Code was released less than 6 months ago.
We think Grafana is still a great tool and many teams are heavily invested in the Grafana ecosystem. We'll continue to invest in Grafana support via ClickHouse's official Grafana plugin and that won't be changing at all with this release.
However, there's a bit of a fundamental difference in the user experience we're targeting. Grafana has really excelled at traditional monitoring dashboards, low cardinality monitoring workflows.
ClickHouse unlocks a newer paradigm of high cardinality, high performance observability. It enables a new set of workflows/UX that allows engineers to query novel problems quickly as opposed to working off of static dashboards. That's really a big focus of ours, so you'll see we do exploration/search/syntax/UI layout is quite different from Grafana due to this.
At this point it isn't even an original realization of ours. Just as an example, Shopify built a complete custom app (only keeping the auth part of Grafana) while migrating to ClickHouse for similar reasons.
Ah sorry I missed that part of the question, yes MongoDB and ClickHouse are the two stateful services. We'll be looking to see if we can offer some mode to simplify it down to just ClickHouse but that'll take a bit more work.
Totally agree - you use an observability tool because it answers your questions quickly, not just return searches quickly.
Beyond raw performance and cost effectiveness, which is quite important at scale, we work a lot on making sure the application layer itself is intuitive to use. You can always play around with what ours looks like at play.hyperdx.io :)
Otherwise yes you can authenticate against the other versions with a email/password (really the email doesn't do anything in the open source distribution, just a user identifier but we keep there to be consistent)
In theory you should be able to try using FerretDB for example.
We have this on the medium term roadmap to investigate proper support for a compatibilty layer such as ferret or more likely just using ClickHouse itself as the operational data store.
Hey, I'm a maintainer of HyperDX. I'd love to chat with you about a potential collaboration. we're planning to migrate off mongodb. Please reach out to me on Discord (warren)
Other times they would just link to real LinkedIn profiles, but the LinkedIn profile will say that they’re not actively looking and are a victim of id fraud basically.
It’s been a huge issue spotting candidates falsifying information since remote work took off unfortunately. They payout is if they can get at least 1 or 2 paychecks before being found out, they’ve made a good profit.
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