Lorenzo Gaborini
@lgaborini.bsky.social
Lausanne based 🇨🇭
- Senior Data Analyst @IntTestAgency
- PhD Forensic Science @unil
- MSc Mathematical Engineering @polimi
®🐍🏃♀️⛷🚲🥐🍽
- Senior Data Analyst @IntTestAgency
- PhD Forensic Science @unil
- MSc Mathematical Engineering @polimi
®🐍🏃♀️⛷🚲🥐🍽
Reposted by Lorenzo Gaborini
I'm increasingly proud to have written and published things before LLMs existed.
November 1, 2025 at 11:55 AM
I'm increasingly proud to have written and published things before LLMs existed.
Reposted by Lorenzo Gaborini
Most companies don’t need deep learning. They need clean joins, honest metrics, and interpretable results.
Startups often chase GPU clusters before fixing their CSVs.
#DataScience #MachineLearning #AI #RStats
Startups often chase GPU clusters before fixing their CSVs.
#DataScience #MachineLearning #AI #RStats
September 17, 2025 at 10:17 PM
Most companies don’t need deep learning. They need clean joins, honest metrics, and interpretable results.
Startups often chase GPU clusters before fixing their CSVs.
#DataScience #MachineLearning #AI #RStats
Startups often chase GPU clusters before fixing their CSVs.
#DataScience #MachineLearning #AI #RStats
Reposted by Lorenzo Gaborini
How thousands of ‘overworked, underpaid’ humans train Google’s AI to seem smart
www.theguardian.com/technology/2...
www.theguardian.com/technology/2...
How thousands of ‘overworked, underpaid’ humans train Google’s AI to seem smart
Contracted AI raters describe grueling deadlines, poor pay and opacity around work to make chatbots intelligent
www.theguardian.com
September 15, 2025 at 6:11 AM
How thousands of ‘overworked, underpaid’ humans train Google’s AI to seem smart
www.theguardian.com/technology/2...
www.theguardian.com/technology/2...
More than 10 years of R, and this still caught me off guard... #rstats
vec <- c("foo", "bar")
list_vec <- list()
for (i in vec) {
list_vec[[i]] <- \() paste("vec is:", i)
}
list_vec[[1]]() # "vec is: bar"
list_vec[[2]]() # "vec is: bar"
vec <- c("foo", "bar")
list_vec <- list()
for (i in vec) {
list_vec[[i]] <- \() paste("vec is:", i)
}
list_vec[[1]]() # "vec is: bar"
list_vec[[2]]() # "vec is: bar"
August 21, 2025 at 10:25 PM
More than 10 years of R, and this still caught me off guard... #rstats
vec <- c("foo", "bar")
list_vec <- list()
for (i in vec) {
list_vec[[i]] <- \() paste("vec is:", i)
}
list_vec[[1]]() # "vec is: bar"
list_vec[[2]]() # "vec is: bar"
vec <- c("foo", "bar")
list_vec <- list()
for (i in vec) {
list_vec[[i]] <- \() paste("vec is:", i)
}
list_vec[[1]]() # "vec is: bar"
list_vec[[2]]() # "vec is: bar"