I never really used the Antigravity IDE, but had it installed. The update also made me do a double take and wonder what the hell was going on.
It seems like Google is hitting the reset button on the product they call "Antigravity", existing users be damned. Fine, if you've never installed or used the previous version before... but for existing users the "bait and switch" is incredibly disorientating.
My take is they saw the market size for a general agentic tool as being larger and more significant than a specialised IDE. It shows a pretty large lack of respect for users in the later group though.
Belated follow up: I was able to install the agy cli directly without the IDE (perhaps this was a change made in the interim).
I ran it last night and it was just fine as a drop-in replacement for my usage. Disappointment averted with minimal effort on my part (it helps that my typical workflow is pretty mundane/close to the defaults).
Gemini CLI (the open source cli) is being deprecated, and the recommended replacement is Antigravity CLI (which supposedly comes with the new Antigravity, not the IDE). shrug. Surely this will be maintained long term...
Google makes no sense. They can make a good product from time to time but as soon as people like it, they shut it down. for me personally (google podcasts, google calendar with the goals feature) the old assistant that was able to do stuff like set alarms and gemini now can't
And how do you get this to work exactly? I keep getting variations of "Missing required parameter: redirect_uri" in the OAuth flow.
The solutions proposed by Gemini and Google's AI summaries all hallucinate agy subcommands that don't exist, hilariously.
Edit: after bouncing around several GitHub threads, I realized that the agy TUI framework is wrapping the URL in a way that causes spaces to be inserted where the URL wraps. That's hilarious.
Classic Google problem: nobody gets promoted for maintaining anything. Promotions require doing Something Big. Convince everybody that your new feature is so much better than the old experience that it’s worthy of nuking the old experience, and that’s evidence that your New Thing is more worthy of you getting promoted. That’s how shit like this happens at Google.
>Paid Jules plans are accessed via a Google AI Plans subscription, which is currently available only for individual Google Accounts (ending in @gmail.com).
>We are actively working on providing upgrade paths for other user types. In the meantime, If you are a business power user and need more access to Jules, please fill out this interest form and we will get back to you.
I filled out the enterprise form for GWorkspace 18 months ago.
It appeals to me as a minimalistic version of the Bear[1] notes app.
A few years ago I played around with copying the Bear app interface for the web, the idea was to create a visually identical mockup of the app so you could immediately visualise changes made when customising various theme values. I stalled with the implementation of the last part, but the rest of it is up at bear.christippett.dev
Similarly I remember being at Australia Post discussing data privacy for a project and I couldn't help but make the wisecrack remark "don't y'all routinely distribute millions of individual's personal data every year and just leave the information lying about on people's doorstops for anyone to access?"
Am I correct that this has come about because archive.org respects robots.txt and these sites have blocked their crawler from indexing their sites?
I'm not sure how to articulate my thoughts on this exactly, other than to say it's disappointing that doing the right thing (i.e. respecting robots.txt) is rewarded with the burden of soliciting responses to a petition while at the same time others are rewarded with profit for ignoring those same directives.
Don't know if it helps your musings at all, but there's a good chance that if a high-profile crawler like archive.org disrespected their robots.txt, that archive.org would be faced with lawsuits (or some other form of pressure). This is not merely the most moral move; rather it is the only sensible move.
The only reason "others are rewarded with profit" in cases like these are because pinkie-promise-style obligations don't affect players too small or shadowy to bother litigating.
Fair point. Being small and shadowy is a sufficient condition to avoid litigation, but not a necessary one. Another sufficient condition is having billions of dollars to throw around. Unfortunately, archive.org is well known, well loved, and fundamentally harmless.
This is going to go in a boring direction with an argument thread that's been made since Internet time immemorial, and before. The argument goes: Pirating articles off nyt.com leads to lost sales of subscriptions, so it's not harmless. The response is, inevitably, no it doesn't, it leads to more sales. Or, people who weren't going to pay weren't going to pay anyway, so might as well give it to them for free, and be happy (as the NYT) for free advertising. And then the follow up, "No, it's a lost sale and journalism needs the money." HN is for thoughtful and substantive discussion, not for rehashing the same boring argument we've all read a thousand times. So my question isn't which camp is right. Both camps are firm in their beliefs. Copyright infringement is fine, copyright infringement is not. My question is in today's AI-fueled digital hellscape, how do we support journalists and the arts? If journalism only exists because eg Jeff Bezos pays for the Washington Post, we're going to get biased reporting (which has existed since long before the Internet); If art only exists because the artists come from rich families or have patrons like the Renaissance era, is society better off?
But AI companies don’t publicly redistribute the content they scrape, whereas Internet Archive does.
Even if you believe what the AI companies are doing is or should be a copyright violation, the Internet Archive is redistributing in a more direct manner.
Which they don’t respect. I’ve had it for my blog for years and they still added it to wayback machine, see my last comment for their official announcement of the ignore robots.txt policy, it is not new.
robots.txt means they shouldn't auto-scan your site. Any user though can go to the wayback machine and type in a URL and the wayback machine will read that URL. That was the intent of robots.txt (don't scan) not (don't read period). It's spelled out in the spec for robots.txt
The person above those is complaining about entries in their logs from bots. A robot can't read a tag without first reading the document. So sure, if they're a good bot they might not store the results but the server's logs will still show the bot's GET request.
Aren't you choosing to ignore something very specific specified in that article? Why do you make it seem that article implies it's their overall policy?
> A few months ago we stopped referring to robots.txt files on U.S. government and military web sites for both crawling and displaying web pages (though we respond to removal requests sent to info@archive.org).
> Aren't you choosing to ignore something very specific specified in that article?
Of course not, did you ignore the lines right after? “As we have moved towards broader access it has not caused problems, which we take as a good sign. We are now looking to do this more broadly.”
The announcement is from 9 years ago. I already mentioned they ignored the robots.txt for my own blog.
I'd rather they disregard robots.txt than the opposite situation, where someone does not use robots.txt on a domain to allow IA to archive it, then for whatever reason the domain lapsed and got swooped up by a parker who then subsequently adds a robots.txt blocking IA from the whole site, which would have then caused IA to remove all historical archives of that domain from public view.
LLMs have other ways of accessing the content, they don’t need the Web Archive.
Every LLM company can afford to spin up a new subscriber account every day, proxying to appear different IPs from all sorts of ASNs, do some crawling until the account gets banned, and then do it again, and again, and again.
This is like arguing that services can't provide access to libraries that provide public WiFi because it would give the public legal permission to pirate TV shows. They're two unrelated things. And then some members of the public argue that they're making fair use rather than pirating anything, but that still has nothing to do with the library.
But as I understand it, the Web Archive does respect robots.txt, while LLM scrapers absolutely do not and use all sorts of dodgy methods to get around it already...
The actual root cause is that we're allowing LLM companies to completely disregard copyright laws for their profit. Whether the LLM companies scrape the Web Archive or the original source doesn't change the copyright infringement implications in any way, and cutting off the web archive doesn't practically change anything (because as I understand, LLM scraping is already prolific all over the web).
Is there a case that actually says this? Why would whether something is fair use depend on that? For that matter, how would they even show that a given AI model was trained on something from a recursive crawler rather than the same articles added to the training data after being downloaded by hand?
Twitter griefs everyone with a login wall because they want bulk downloaders to pay for API access instead and the login wall is an attempt to rate limit non-API bulk requests.
That isn't relevant to ordinary media outlets because a) they don't have enough content volume for rate limiting to be effective since it's possible to get everything they publish even at a slow rate limit, and b) getting AI scrapers to subscribe to their bulk download API instead is not the objective in their case.
You can call it whatever you want but it’s killing journalism when LLMs can automatically scrape and reword all the news. Sucking up the profits without contributing anything back to the people who created the work.
I don’t think many people are getting daily news from LLMs. Journalism has been dying since long before LLMs burst onto the scene as well.
There really isn’t even a defensible argument as to how this even should be illegal. The idea that someone can read words about a concept, and then rewording an explanation of that concept somehow violating the rights of the original author, is absurd.
The issue here and elsewhere isn’t LLMs. It’s that IP as a concept has always been a dystopic farce. Despite this we have not only kicked the can down the road on addressing this, we’ve doubled and tripled down and built our society around the concept. The advent of AI has simply blown the scale of the problem up to the point where it cannot be ignored any longer.
> I don’t think many people are getting daily news from LLMs.
How many people do you think use LLMs in some fashion at all in their daily lives? Genuine question, I'm sure my personal experience is a biased sample, but so is everyone else's. Stats from AI companies isn't going to be (seen as) objective either. OpenAI and Anthropic are pushing a feature where I get a situation report at 9am like I'm an important official. With both labs pushing that, I think some people are getting their daily news from LLMs, the question is how many would it take for it to be meaningful, and how would we know if/when that bar gets crossed? What are the implications of that?
The general problem here is that as soon as something is news, there will be not only numerous articles about it from multiple publications but also discussion of it on social media.
Which means LLMs have a zillion sources to get the story. Removing any given subset isn't going to prevent it from having the information in the training data, all it does is prevent that subset from being archived for future humans.
Yeesh, is "never reading the code" really the modus operandi we want from AI?
Microsoft, for all their warts, at least had the compassion to call their AI product "Copilot", suggesting we have some residual agency in whatever it is that it produces.
Copilot is a legacy brand from 2021 (anyone remembers it's free beta? good times) when it was just a rudimentary autocomplete powered by GPT-3. I don't think it aligns with Microsoft's views and priorities now.
It's clearly not the MO that capable engineers want, but it's the MO that is getting funded right now.
Reading code carefully is harder than writing code unless the code is written consistently and clearly in a way that is idiomatic to the reader. And there's way more code to review now, but companies aren't scaling up the number of skilled engineers on staff. So in practice, never reading all of the diffs is the MO that will be built into code we depend on.
> It's clearly not the MO that capable engineers want, but it's the MO that is getting funded right now.
Quite a few capable engineers really are that short-sighted!
The bigger question for the AI-techbro questioning "If AI writes your code, why use Python?" is "If AI writes your code, what use do we have for you?"
After all, there's dozens of people in the same business that have better domain knowledge but are unable to program - as a programmer the only value you added over random analysts and clerks was that you could automate shit.
Now you can't, so good luck competing with people who were already making half your salary when your largest value-prop is now gone.
There are lots of good use cases for vibe coding (”never reading the code”), prototypes, various explorations and one-offs. I’ve done various kinds of migrations where I didn’t bother to review the code much, just the output.
Possibly also some user-facing tools with a limited task and runtime environment.
Incidentally, these are all use cases where performance isn’t critical, typically, so you might as well write them in Python or Typescript or whatever makes most sense for the task.
Real production code? Yeah, you still need to be able to read it and understand it.
You don’t need to read the code if you have a robust test suit to validate the output. The article implies testing is the new “reading”. If I spend 10 minutes reading code to find an edge case bug, I have lost the benefit of using AI. AI code is legacy code the moment is generated because I can’t tell why some lines were chosen, so the only way for me to add more features or refactor legacy code is by being very rigorous with testing.
This is perhaps where our perspectives differ, because I see the usage of LLMs not as an external third-party (another team per your example), but instead as an extension of one's self. Given that lens, I'm highly sensitive to the quality and function of its output, because ultimately its contribution is my responsibility.
I appreciate not everyone feels this way, but that's why I personally would be anathema not to read its code.
> For instance, the name "www.nytimes.com" corresponds to nine different computers that answer requests for The New York Times on the Web, one of which is 199.181.172.242
It seems like Google is hitting the reset button on the product they call "Antigravity", existing users be damned. Fine, if you've never installed or used the previous version before... but for existing users the "bait and switch" is incredibly disorientating.
My take is they saw the market size for a general agentic tool as being larger and more significant than a specialised IDE. It shows a pretty large lack of respect for users in the later group though.
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