wardb
Show HN: DeepThought AI – Give your Python 'if' statements an AI boost
https://pypi.org/project/deepthought-ai-engine/
DeepThought AI is a satirical Python library that gives your humble 'if' statements an absurd AI upgrade. It transforms simple boolean logic into an over-engineered, GPU-hungry decision engine. Key features:- Neural Network If-Else Evaluator (10-billion parameters) - AI-Powered Condition Analyzer - Parallel Universe Simulation for each decisionThis tongue-in-cheek project pokes fun at AI hype,...
The linked Loki caching docs/articles are for optimising the read access patterns of S3/object storage, not for writes.
Incredible fast free AI image generation by Open AI
The difference is that in Loki the index is only used for metadata around the source of the log lines (environment, team, cluster, host, pod etc) for selecting the right log stream to search in.
Parsing, aggregation and/or filtering of log lines on high cardinality data is all done at query time using LogQL. See also https://www.youtube.com/watch?v=UiiZ463lcVA and this live example where a 95th quantile is calculated using the request_time field of nginx logs https://play.grafana.org/d/T512JVH7z/loki-nginx-service-mesh...
The expense categorization system is an abomination that will drive you insane with its constant mistakes and errors. The approval process is a black hole that sucks up your expenses and never spits them back out. I feel SAP Concur is the worst software ever created for expense management, and using it makes me wish I never had to do expenses again.
Expensify is so much better. The OCR isn't great though
Grafana and Cilium: eBPF-powered observability for K8s and cloud native infra
High availability in Loki is supported in distributed mode. Helm chart here: https://github.com/grafana/helm-charts/tree/main/charts/loki...
Chinese Developers Claim Fastest Quantum Computer
Grafana Labs acquires load-testing startup K6
Does CPB actually has anything to say here? I was expecting "De Nederlandse Bank" to be the organisation to set the rules here.
IIRC MS/Azure is an early Databricks investor and their sales folks were heavily incentivised to sell it. They also pushed Snowflake in the early days until they had a competing product and their relationship status was upgraded to 'it's complicated'.
This will be fixed in an update of Erlang.
I can see that Erlang and Joe's (RIP) insights about OO might conflict with your view of the world, but IMHO that's just because of the OO indoctrination people grew up with.
Recommend learning key concepts of OTP/Erlang/Elixir first, and then revisit your initial opinions.
You might even conclude Joe Was Right