private def getLinearRankingParams: ThriftRankingParams = { ThriftRankingParams( `type` = Some(ThriftScoringFunctionType.Linear), minScore = -1.0e100, retweetCountParams = Some(ThriftLinearFeatureRankingParams(weight = 20.0)), replyCountParams = Some(ThriftLinearFeatureRankingParams(weight = 1.0)), reputationParams = Some(ThriftLinearFeatureRankingParams(weight = 0.2)), luceneScoreParams = Some(ThriftLinearFeatureRankingParams(weight = 2.0)), textScoreParams = Some(ThriftLinearFeatureRankingParams(weight = 0.18)), urlParams = Some(ThriftLinearFeatureRankingParams(weight = 2.0)), isReplyParams = Some(ThriftLinearFeatureRankingParams(weight = 1.0)), favCountParams = Some(ThriftLinearFeatureRankingParams(weight = 30.0)), langEnglishUIBoost = 0.5, langEnglishTweetBoost = 0.2, langDefaultBoost = 0.02, unknownLanguageBoost = 0.05, offensiveBoost = 0.1, inTrustedCircleBoost = 3.0, multipleHashtagsOrTrendsBoost = 0.6, inDirectFollowBoost = 4.0, tweetHasTrendBoost = 1.1, selfTweetBoost = 2.0, tweetHasImageUrlBoost = 2.0, tweetHasVideoUrlBoost = 2.0, useUserLanguageInfo = true, ageDecayParams = Some(ThriftAgeDecayRankingParams(slope = 0.005, base = 1.0)) ) }

Comments URL: https://news.ycombinator.com/item?id=35367533

Points: 2

# Comments: 0

I wrote more about what actually happened here: https://navendu.me/posts/ai-generated-spam-prs/

It can help set some context to the discussions.

It can help set some context to the discussions.

TLDR:

Recently, a person has been using AI tools to generate code and open pull requests to open source projects I contribute to.

The code is entirely wrong and doesn’t work, and it is evident that the person making these pull requests doesn’t understand the code.

The person also copied explanations (which was an obvious giveaway as it sounded like a typical response) into the pull request and attempted to explain the code and answer questions from the reviewers.

We were polite and when it didn’t work, reported the person to GitHub.

I don’t want to shame the person publicly. But I want to make other open source maintainers aware that this is a thing and prevent them from wasting time and effort chasing such people down.

In our project, the user just copy-pasted the output from the AI tool and called it a day. They did not even bother to build the project and test it.

I have also started using AI tools and it has made me much more efficient. I could have done a task without AI but with it, it is much more faster.

We recently had someone open a pull request to our open source project and the code and the explanation of the code was clearly AI generated. It was obvious that the code doesn't work and the person had not tested the code. We do not know what the end goal of the person was but we confronted the person and closed the pull requests.

Has any other open source projects experienced this? What did you do?

Comments URL: https://news.ycombinator.com/item?id=35357933

Points: 65

# Comments: 26

When I quit my job to start a new career in software engineering, I hoped to find a job after a couple of months of preparation. Even after 8 months and close to 200 applications, I still couldn't find a job.

I felt like I made the wrong decision by quitting my previous job and whether I actually had any skills to work in tech. I almost decided to stop and take a different job when I received a life-changing opportunity as a software engineer.

The good thing about hitting rock bottom is that the only place you have left to go is high. It will be hard, but slow progress will surely help you reach your goal. If things aren't working out as you expected, it might be time to switch your goals and try something different.

Anyway, this is undoubtedly not the end. You were clearly determined to pursue what you wanted, but maybe it wasn't aligned. I genuinely wish you all the best for your future, and I hope to see you reach your goals.

This is an unfortunate event and I hope GitHub will lift the ban from the ones affected and enforce ban on the people misusing this. But always check what permissions you are giving.

There might be a future where AI can do a lot of work and we might shift our jobs to work on top of these AIs. We might have new jobs that did not exist till now in the future.

Comments URL: https://news.ycombinator.com/item?id=33372428

Points: 2

# Comments: 0

This tutorial uses Apache APISIX as Kubernetes Ingress. Although using APISIX custom resources means you are tied to APISIX, it makes it much easier to work with its full features.

The new Kubernetes Gateway API promises to make it more vendor neutral without having to compromise features and usability.