Viewing profile — willempienaar

That is pretty wild, but it lines up with evals we've also done internally. In one case we had the agent see it's in a simulation (based on a k8s pod label) and simply give up the …

Phew, for a second there I felt bad for them!

Also, the “cell” in Generic Cell Rate Algorithm is an ATM cell. GCRA is 1990s telecom, the scheduling algorithm ATM switches used to check that 53-byte cells were arriving on the w…

Yes. Alt-tab makes MacOS actually usable

Cleric | https://cleric.ai | Staff SWE, AI | Staff SWE, Product | Founding Marketer | Staff Designer | SWE, Backend | SF Onsite (Designer Remote) Engineers can't keep up with their…

Cleric | Staff SWE, AI | Staff SWE, Product | Head of Marketing | SF Onsite | $160K-$240K + Equity Engineers can't keep up with their production environments: dozens of services, d…

I kind of agree, but the message in this particular post does border on https://simonwillison.net/2024/Jul/13/give-people-something-...

Cleric | https://cleric.ai | Staff Software Engineer | Full-Time | $160K–$220K | Onsite (San Francisco) Cleric is an AI Site Reliability Engineer (SRE) that autonomously root cause…

Cleric | https://cleric.io | Staff Software Engineer | Full-Time | Onsite (San Francisco) Cleric is an AI Site Reliability Engineer (SRE) that root causes production issues at mach…

Cleric | https://cleric.io | Software Engineers, Platform & Product | Full-Time | Onsite (San Francisco) Cleric is an AI Site Reliability Engineer (SRE) that diagnoses production i…

Cleric | Multiple Roles | San Francisco | Full-time | $160K-$200K + 0.5%-1.5% equity | Visa Sponsorship At Cleric we're building an AI-powered agent that helps engineers quickly di…

While everyone is focusing on LLMs, the folks at Bytewax are quietly shipping tech that is both accessible and robust. Great to see.

Been following this project for a while. There's a reason why it's making waves in developer circles - You get a simple to use Python developer experience with a powerful distribut…

It may be worth reading this article to get an idea of what feature stores are and how they are used https://feast.dev/blog/what-is-a-feature-store/

Co-author here. Happy to answer any questions!

I agree. To add to that, GitOps as defined by Weaveworks and Kelsey Hightower is a technology agnostic approach.

Best bet to learn about our ML systems is at (and after) talks we do in Singapore.