fesoliveira
Joined 8 years ago
Joined 8 years ago
Remote: Yes, open to hybrid
Willing to relocate: Only within Canada
Technologies: Kotlin, Java, Python, C, C++; gRPC, Protocol Buffers, REST; MySQL, CockroachDB, DynamoDB, Snowflake, Redis; AWS (ECS, SQS, IAM), Docker, Terraform (familiar), Kubernetes (familiar); CI/CD, Datadog, OpenTelemetry (familiar), SLI/SLO definition
Résumé/CV: Available on request
Email: [email protected]
I am a backend engineer with ten years of experience, recently laid off from Faire, where I spent four years building and running the services behind a free-shipping membership program in Kotlin and gRPC on AWS. Most of my work sits on the platform side of product teams: decomposing monoliths into services, designing data models across relational and NoSQL stores, and building the deployment, routing, and rollback machinery that makes large changes safe to ship under live traffic. I carry production on-call for what I build and run the post-mortems afterwards. Earlier in my career I worked lower in the stack on Android platform and embedded software, initially in security assessment of system services and later on building security enclave applications. I am looking for senior backend or platform engineering roles, remote or anywhere in Canada.
This right here is the reason why governments won't use it. Governments want transactions to be traceable so that they can audit your taxes. I don't have any issues with that, I actually don't mind paying taxes, but I would never expect a government, no matter how progressive, to use a privacy-based protocol or solution.
It is incredibly powerful for getting things started, but as soon as you have a sketch of a complex system going it loses its grasp on the full picture and do not account for the states outside the small asks you make. This is even more evident when you need to correct it about something or request a change after a large prompt. It just throws all the other stuff out the window and hyperfocus only on that one piece of code that needs changing.
This has been the case since GPT 3, the even their most recent model (forgot the name, the reasoning one) has this issue.
They do.
Twitter serves their service to the entire world, with multiple layers of systems working in conjunction in order to make things work smoothly. A new engineer that has not been working on it for no more than a couple months would likely be unaware of how the different systems communicate and interact. A change like this will have have a lot of unintended consequences, and not having a senior engineer with lots of context leading the change will undoubtedly cause these kinds of issues.
Then how can you say the criticism seems substantive? He brings nothing to the table to show that his criticism is valid, it's basically "I don't like, therefore wrong". The proper way criticize their paper would be conduct your own experiments using their parameters and methodologies and show that the results you obtain do not match theoretical results or results of other observations through other means.
>On that point, scientists don’t need you to chastise people for questioning their authority online. I think a lot of them would be offended at the idea that you think that is what they want.
We question their authority on this specific subject they seem to be criticizing. If you make a claim without having at least the background to support said claim, what value does it have? It's the same as a person without background in microbiology or virology claiming vaccines don't work when they don't even begin to understand the science behind it and the mountain of evidence that says otherwise.