Readit NewsEvery company I've been at that tried to self-host something like GitLab, later moved to GitHub. Nobody in business cares if it's open source/free software. They care about managed hosting, centralized services, invoicing, etc. DIY is great for hobbyists and the cash-strapped.
The thing is, there are three distinct interpretations of the word "economy", and depending on which of the definitions you subscribe (or belong) to, either of "the economy is good/okay/bad" can be true!
1) being the economy for the (uber) rich, "big tech", "big seven", FAANG, however you want to call it. That economy is running hot on 'roids "thanks" to the AI ouroboros / bubble / incestuous investment relationships. Money printer go brr. You get it. The only thing you have to take care about now if you belong to that bubble is to slowly unwind enough bags onto clueless retail gamblers before the bubble pops.
2) being the economy for the pension funds, the value of all the "dumb capital", S&P 500/DAX/MSCI and the likes. That economy is doing ... okay-ish, partially thanks to the AI bubble, but when that bubble pops, it's going to have Covid/2007ff effects on the pension funds.
3) being the economy for the 99% - and that economy is in the gutter. On the income side, job losses run rampant across the board, especially "entry level" jobs but also skilled jobs like translators are getting wiped out by AI, and in other industries (advertising, "luxury" goods) the cause is people cutting back on spending because they don't have any money left or are holding their money together because they fear a serious macro-economic disaster. On the expense side, cost of living have been exploding for years without adequate salary hikes - rents, basic groceries, cable TV and its replacement of half a dozen of streaming services, gas, electricity, the impact of Trump's tariffs, whatever.
Not recognizing (or ignoring) these wildly different realities is what killed Trump 1, Biden and is now killing Trump 2. You can't go and yap on the big screen about the economy being at record highs while the actual reality on the ground is everything but that. And it's not just the US that has these problems either, it's the same across the board in Western countries. The only thing the US has "exclusively" is the tariffs.
I can't speak for other cultures, but as an English-language speaker, I can see plainly that OpenAI has done and is doing an effective job of homogenizing English language culture.
It offends me that ChatGPT is too conservative to analyze Shakespeare's sonnets. These works are the bedrock of English language literary culture, and ChatGPT is far, far, too heavily censored to meaningfully interpret these short, simple poems.
As an example, Sonnet 131 describes Shakespeare's sexual encounter with a dark-skinned prostitute. After he ejaculates, he reflects on the spot of his semen which has landed on her, stating "Thy black is fairest in my judgment’s place."
The point is (quite obviously), that the blob of semi-translucent semen has created a spot on the woman's skin which is a lighter tone than the rest of her body.
ChatGPT utterly fails to acknowlege this obvious literal interpretation of this poem. ChatGPT's analysis follows:
"In short. He is saying that her dark appearance—which others might criticize—is, to him, the most beautiful and desirable."
English literary culture is unique for its integration of "high" and "low" art within individual works. Restated, it is uniquely common in the English language for works to contain simultaneous expressions of "high" and "low" cultures. The relationship between Jazz (high brow) American Showtunes (low brow) may be the most relevant example of this cultural feature to a contemporary American audience.
The extension of social media content restriction policies into the arena of "AI" chatbots is radicalizing English speakers against the greatest artistic works produced using our language.
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edit: to the guy who responded to me, check out the poem!: https://shakespeareoxfordfellowship.org/wp-content/uploads/D... (#131).
The poem begins in media res, immediately before Shakespeare is about to ejaculate. He reflects on negative comments others have made about this woman's appearance:
"Yet, in good faith, some say that thee behold, Thy face hath not the power to make love groan"
in other words, others say that this lady's face is too ugly to make them cum.
Shakespeare reverses this insult in "the moment of truth" (i.e. the "money shot"):
"A thousand groans, but thinking on thy face, One on another’s neck, do witness bear Thy black is fairest in my judgment’s place. "
While Shakespeare fantasizes about her face ("thinking on thy face"), he ejaculates (read: "bears witness") on the back of her neck. This is "proof" that the lady's detractors (who said her face was too ugly to get a man off) are wrong, at least from Shakespeare's perspective.
"Thy black is fairest in my judgement's place" is the first line of the poem that occurs after Shakespeare has ejaculated. Now that he has satisfied his sexual urge, he inhabits a palpably different psychology. He reflects on the puddle of semen he has produced. The blend of colors in the puddle is evocative of the sexual union between Shakespeare and his lover.
Shakespeare is really a violent, devil-tongued, sex-crazed maniac, very similar in a lot of ways to John Lennon. It's very important to this poem that Shakespeare is crazed at the start of the poem, and is only able to calm himself by satiating his sexual urges.
The ChatGPT analysis is accurate enough, from a thematic perspective, but ChatGPT is literally not allowed to decode the literal meaning of the line-by-line text.
ChatGPT cannot and is not allowed to understand the literal meaning of this poem. It has learned the thematic interpretation by ingesting a lot of Shakespeare analysis, but it is not capable of telling you the human actions or thought processes which the poem describes.
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@eszed I'd urge you to read my post again more closely. You seem to struggle with close reading.
It was a neat thing to experience.
Expected, but just leads to reinforcing the idea that PWAs won’t ever be as good when every one people try from someone with a popular app is so awful.
- On permission issue, not sure I follow the flow that got you there, pls email me more details if you are able too and happy to debug: Lkilpatrick@google.com
- On overall friction for billing: we are working on a new billing experience built right into AI Studio that will make it super easy to add a CC and go build. This will also come along with things like hard billing caps and such. The expected ETA for global rollout is January!
This is far from truth imo. It is very possible to only use (F)OSS. Github, AWS, Azure, Vercel are not at all more pleasant or easier to work with than on-prem Gitlab/gitea/codeberg/jenkins/k8s/kibana/prometheus/grafana.
I could spend an hour and have a full setup done on physical or VPS to have 1) remote git hosting 2) pipelines running on changes 3) pipelines publishing images or some artifacts 4) automated deployment for these images/artifacts
I'm struggling to see what am I missing. What is worthwhile that Github offers? It is popular and easy to set up org+repos, but that seems it. A few years ago I was working on Azure Devops with the azure pipeline and that was the worst developer experience I've ever had. AFAIK Github actions uses the same syntax and works the same way, at least it was at that time.
This sounds like a week or two of work to me (I'm a novice though). You should write a guide.