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GPT-5.2 Arrives as OpenAI Scrambles To Respond To Gemini 3’s Gains
OpenAI on Thursday released GPT-5.2, its latest and what the company calls its “best model yet for everyday professional use,” just days after CEO Sam Altman declared a “code red” internally to marshal resources toward improving ChatGPT amid intensifying competition from Google’s well-received Gemini 3 model. The GPT-5.2 series ships in three tiers: 
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Google Says First AI Glasses With Gemini Will Arrive in 2026
Google said it’s working to create two different categories of artificial intelligence-powered smart glasses to compete next year with existing models from Meta Platforms: one with screens, and another that’s audio focused. From a report: The first AI glasses that Google is collaborating on will arrive sometime in 2026, it said in a blog post Monday. Sam 
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I love this quote. “Dependencies are a lot like sexual partners, and it seems most (all?) programming languages are trying to make it easy to be as promiscuous as possible via internal package managers.” gemini://bbs.geminispace.org/s/Reticulum/35090

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How Google Finally Leapfrogged Rivals With New Gemini Rollout
An anonymous reader shares a report: With the release of its third version last week, Google’s Gemini large language model surged past ChatGPT and other competitors to become the most capable AI chatbot, as determined by consensus industry-benchmark tests. [
] Aaron Levie, chief executive of the cloud content management company Box, got early access 
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Google Starts Testing Ads In AI Mode
Google has begun testing sponsored ads inside its Gemini-powered AI Mode, placing labeled “sponsored” links at the bottom of AI-generated responses. Engadget reports: [A] Google spokesperson says the result shown is akin to similar tests it’s been running this year. “People seeing ads in AI Mode in the wild is simply part of Google’s ongoing tests, which we’ve been running for several months,” the 
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Google’s New Nano Banana Pro Uses Gemini 3 Power To Generate More Realistic AI Images
An anonymous reader quotes a report from Ars Technica: Google’s meme-friendly Nano Banana image-generation model is getting an upgrade. The new Nano Banana Pro is rolling out with improved reasoning and instruction following, giving users the ability to create more accurate images with legible text and mak 
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Google Launches Gemini 3, Its ‘Most Intelligent’ AI Model Yet
Google released Gemini 3 on Tuesday, launching its latest AI model with a breakthrough score of 1501 Elo on the LMArena Leaderboard alongside state-of-the-art performance across multiple benchmarks including 91.9% on GPQA Diamond for PhD-level reasoning and 37.5% on Humanity’s Last Exam without tool usage. The model is available starting today in the Gemi 
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I used Gemini (the Google AI) twice at work today, asking about Google Workspace configuration and Google Cloud CLI usage (because we use those a lot). You’d think that it’d be well-suited for those topics. It answered very confidently, yet completely wrong. Just wrong. Made-up CLI arguments, whatever. It took me a while to notice, though, because it’s so convincing and, well, you implicitly and subconsciously trust the results of the Google AI when asking about Google topics, don’t you?

Will it get better over time? Maybe. But what I really want is this:

  • Good, well-structured, easy-to-read, proper documentation. Google isn’t doing too bad in this regard, actually, it’s just that they have so much stuff that it’s hard to find what you’re looking for. Hence 

  • 
 I want a good search function. Just give me a good fuzzy search for your docs. That’s it.

I just don’t have the time or energy to constantly second-guess this stuff. Give me something reliable. Something that is designed to do the right thing, not toy around with probabilities. “AI for everything” is just the wrong approach.

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Gemini Starts Rolling Out On Android Auto
Gemini is (finally) rolling out on Android Auto, replacing Google Assistant while keeping “Hey Google,” adding Gemini Live (“let’s talk live”), message auto-translation, and new privacy toggles. “One feature lost between Assistant and Gemini, though, is the ability to use nicknames for contacts,” notes 9to5Google. From the report: Over the past 24 hours, Google has quietly started the rollou 
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In-reply-to » Just a small update, on my birthday (on the 5th), I accidentally deleted the main page, of my website, so I'm using that as an opportunity, to try something new, at https://thecanine.smol.pub or gemini://thecanine.smol.pub - depending on your preferred protocol.

@bender@twtxt.net to work through both https and gemini, the site is not written in HTML, but in Gemtext, automatically converted to HTML, when needed. Gemtext is nicely explained for example here: https://garden.bouncepaw.com/hypha/gemtext . In short, it is so limited, no line can be more than one thing, so no links in a list are possible, othar than doing it through something like this primitive workaround.

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Just a small update, on my birthday (on the 5th), I accidentally deleted the main page, of my website, so I’m using that as an opportunity, to try something new, at https://thecanine.smol.pub or gemini://thecanine.smol.pub - depending on your preferred protocol.

Any feedback is welcome!

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In-reply-to » @bender Thanks for this illustration, it completely “misunderstood” everything I wrote and confidently spat out garbage. 👌


 and now I just read @bender@twtxt.net’s other post that said the Gemini text was a shortened version, so I might have criticized things that weren’t true for the full version. Okay, sorry, I’m out. (And I won’t play that game, either. Don’t send me another AI output, possibly tweaked to address my criticism. That is besides the point and not worth my time.)

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In-reply-to » @bender Thanks for this illustration, it completely “misunderstood” everything I wrote and confidently spat out garbage. 👌

@prologic@twtxt.net Let’s go through it one by one. Here’s a wall of text that took me over 1.5 hours to write.

The criticism of AI as untrustworthy is a problem of misapplication, not capability.

This section says AI should not be treated as an authority. This is actually just what I said, except the AI phrased/framed it like it was a counter-argument.

The AI also said that users must develop “AI literacy”, again phrasing/framing it like a counter-argument. Well, that is also just what I said. I said you should treat AI output like a random blog and you should verify the sources, yadda yadda. That is “AI literacy”, isn’t it?

My text went one step further, though: I said that when you take this requirement of “AI literacy” into account, you basically end up with a fancy search engine, with extra overhead that costs time. The AI missed/ignored this in its reply.

Okay, so, the AI also said that you should use AI tools just for drafting and brainstorming. Granted, a very rough draft of something will probably be doable. But then you have to diligently verify every little detail of this draft – okay, fine, a draft is a draft, it’s fine if it contains errors. The thing is, though, that you really must do this verification. And I claim that many people will not do it, because AI outputs look sooooo convincing, they don’t feel like a draft that needs editing.

Can you, as an expert, still use an AI draft as a basis/foundation? Yeah, probably. But here’s the kicker: You did not create that draft. You were not involved in the “thought process” behind it. When you, a human being, make a draft, you often think something like: “Okay, I want to draw a picture of a landscape and there’s going to be a little house, but for now, I’ll just put in a rough sketch of the house and add the details later.” You are aware of what you left out. When the AI did the draft, you are not aware of what’s missing – even more so when every AI output already looks like a final product. For me, personally, this makes it much harder and slower to verify such a draft, and I mentioned this in my text.

Skill Erosion vs. Skill Evolution

You, @prologic@twtxt.net, also mentioned this in your car tyre example.

In my text, I gave two analogies: The gym analogy and the Google Translate analogy. Your car tyre example falls in the same category, but Gemini’s calculator example is different (and, again, gaslight-y, see below).

What I meant in my text: A person wants to be a programmer. To me, a programmer is a person who writes code, understands code, maintains code, writes documentation, and so on. In your example, a person who changes a car tyre would be a mechanic. Now, if you use AI to write the code and documentation for you, are you still a programmer? If you have no understanding of said code, are you a programmer? A person who does not know how to change a car tyre, is that still a mechanic?

No, you’re something else. You should not be hired as a programmer or a mechanic.

Yes, that is “skill evolution” – which is pretty much my point! But the AI framed it like a counter-argument. It didn’t understand my text.

(But what if that’s our future? What if all programming will look like that in some years? I claim: It’s not possible. If you don’t know how to program, then you don’t know how to read/understand code written by an AI. You are something else, but you’re not a programmer. It might be valid to be something else – but that wasn’t my point, my point was that you’re not a bloody programmer.)

Gemini’s calculator example is garbage, I think. Crunching numbers and doing mathematics (i.e., “complex problem-solving”) are two different things. Just because you now have a calculator, doesn’t mean it’ll free you up to do mathematical proofs or whatever.

What would have worked is this: Let’s say you’re an accountant and you sum up spendings. Without a calculator, this takes a lot of time and is error prone. But when you have one, you can work faster. But once again, there’s a little gaslight-y detail: A calculator is correct. Yes, it could have “bugs” (hello Intel FDIV), but its design actually properly calculates numbers. AI, on the other hand, does not understand a thing (our current AI, that is), it’s just a statistical model. So, this modified example (“accountant with a calculator”) would actually have to be phrased like this: Suppose there’s an accountant and you give her a magic box that spits out the correct result in, what, I don’t know, 70-90% of the time. The accountant couldn’t rely on this box now, could she? She’d either have to double-check everything or accept possibly wrong results. And that is how I feel like when I work with AI tools.

Gemini has no idea that its calculator example doesn’t make sense. It just spits out some generic “argument” that it picked up on some website.

3. The Technical and Legal Perspective (Scraping and Copyright)

The AI makes two points here. The first one, I might actually agree with (“bad bot behavior is not the fault of AI itself”).

The second point is, once again, gaslighting, because it is phrased/framed like a counter-argument. It implies that I said something which I didn’t. Like the AI, I said that you would have to adjust the copyright law! At the same time, the AI answer didn’t even question whether it’s okay to break the current law or not. It just said “lol yeah, change the laws”. (I wonder in what way the laws would have to be changed in the AI’s “opinion”, because some of these changes could kill some business opportunities – or the laws would have to have special AI clauses that only benefit the AI techbros. But I digress, that wasn’t part of Gemini’s answer.)

tl;dr

Except for one point, I don’t accept any of Gemini’s “criticism”. It didn’t pick up on lots of details, ignored arguments, and I can just instinctively tell that this thing does not understand anything it wrote (which is correct, it’s just a statistical model).

And it framed everything like a counter-argument, while actually repeating what I said. That’s gaslighting: When Alice says “the sky is blue” and Bob replies with “why do you say the sky is purple?!”

But it sure looks convincing, doesn’t it?

Never again

This took so much of my time. I won’t do this again. 😂

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In-reply-to » You do raise very good points though, but I don't think any of this is particularly new because there are many other examples of technology and evolution of change over time where people have forgotten certain skills like for example, changing a car tyre

@prologic@twtxt.net when I first “fed” the text to Gemini, I asked for a three paragraphs summary. It provided it. Then I asked to “elaborate on three areas: user experience, moral/political impact, and technical/legal concerns”. The reply to that is too long for a twtxt.

I then asked to counter the OP opinions—as in “how would you counter the author’s opinion?”. The reply was very long, but started like this:

“That’s an excellent question, as the post lays out some very strong, well-reasoned criticisms. Countering these points requires acknowledging the valid concerns while presenting a perspective focused on mitigation, responsible integration, and the unique benefits of AI.”

What followed was extensive, so I asked for a summary, which didn’t do justice to the wall of text that preceded it.

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In-reply-to » @bender Thanks for this illustration, it completely “misunderstood” everything I wrote and confidently spat out garbage. 👌

@movq@www.uninformativ.de I am genuinely curious as to why you think Geminis summarization and the categorization of your gopher post was and is as you say misunderstood?

I asked this very genuinely because before reading @bender@twtxt.net’s comments and Gemini summarization I actually went and unplugged your post into flood gaps go for proxy, and then listen to the text intently with my own human ears 👂

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Gemini AI To Transform Google Maps Into a More Conversational Experience
An anonymous reader quotes a report from the Associated Press: Google Maps is heading in a new direction with artificial intelligence sitting in the passenger’s seat. Fueled by Google’s Gemini AI technology, the world’s most popular navigation app will become a more conversational companion as part of a redesign announced Wednesda 
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In-reply-to » @bender Thanks for this illustration, it completely “misunderstood” everything I wrote and confidently spat out garbage. 👌

@movq@www.uninformativ.de this I find more worrisome, and saw no mention of it on your text: Right-Wing Chatbots Turbocharge America’s Political and Cultural Wars (gift article).

Enoch, one of the newer chatbots powered by artificial intelligence, promises “to ‘mind wipe’ the pro-pharma bias” from its answers. Another, Arya, produces content based on instructions that tell it to be an “unapologetic right-wing nationalist Christian A.I. model.”

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In-reply-to » For the innocent bystanders (because I know that I won’t change @bender’s opinion):

@movq@www.uninformativ.de Gemini liked your opinion very much. Here is how it countered:

1. The User Perspective (Untrustworthiness)

The criticism of AI as untrustworthy is a problem of misapplication, not capability.

  • AI as a Force Multiplier: AI should be treated as a high-speed drafting and brainstorming tool, not an authority. For experts, it offers an immense speed gain, shifting the work from slow manual creation to fast critical editing and verification.
  • The Rise of AI Literacy: Users must develop a new skill—AI literacy—to critically evaluate and verify AI’s probabilistic output. This skill, along with improving citation features in AI tools, mitigates the “gaslighting” effect.
2. The Moral/Political Perspective (Skill Erosion)

The fear of skill loss is based on a misunderstanding of how technology changes the nature of work; it’s skill evolution, not erosion.

  • Shifting Focus to High-Level Skills: Just as the calculator shifted focus from manual math to complex problem-solving, AI shifts the focus from writing boilerplate code to architectural design and prompt engineering. It handles repetitive tasks, freeing humans for creative and complex challenges.
  • Accessibility and Empowerment: AI serves as a powerful democratizing tool, offering personalized tutoring and automation to people who lack deep expertise. While dependency is a risk, this accessibility empowers a wider segment of the population previously limited by skill barriers.
3. The Technical and Legal Perspective (Scraping and Copyright)

The legal and technical flaws are issues of governance and ethical practice, not reasons to reject the core technology.

  • Need for Better Bot Governance: Destructive scraping is a failure of ethical web behavior and can be solved with better bot identification, rate limits, and protocols (like enhanced robots.txt). The solution is to demand digital citizenship from AI companies, not to stop AI development.

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How to add MCP Servers to Gemini CLI with Docker MCP Toolkit
In the rapidly evolving landscape of AI-assisted development, most developers continue to struggle with clunky web interfaces, resource-intensive IDEs, and fragmented toolchains. But what if we told you there’s a combination that pairs Google’s 76.3K-star Gemini CLI (in just 5 months) with Docker’s innovative MCP Toolkit, quietly revolutionizing how modern AI developers work? Enter the
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Build a Multi-Agent System in 5 Minutes with cagent
Models are advancing quickly. GPT-5, Claude Sonnet, Gemini. Each release gives us more capabilities. But most real work isn’t solved by a single model. Developers are realizing they need a system of agents: different types of agents working together to accomplish more complex tasks. For example, a researcher to find information, a writer to summarize,
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we facilitated a workshop at Alpaca 2025: Introduction to the qiudanz technique: computational transformation of minimalist movement sequences | gemini://compudanzas.net/alpaca_2025_workshop_notes.gmi

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In-reply-to » Bloody AI clowns:

Here’s an interesting thought/angle on this topic:

gemini://gemini.conman.org/boston/2025/08/21.1

A further check showed that all the network blocks are owned by one organization—Tencent [4]. I’m seriously thinking that the CCP (Chinese Communist Party) encourage this with maybe the hope of externalizing the cost of the Great Firewall [5] to the rest of the world.

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upcoming workshop! we will participate in the Alpaca Conference (Algorithmic Patterns in the Creative Arts) with: Introduction to the qiudanz technique: computational transformation of minimalist movement sequences | gemini://compudanzas.net/talks_and_workshops.gmi

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shared an in-person workshop at ALGOPOÉTICA Madrid: introduction to the qiudanz technique: computational transformation of minimalist movement sequences | gemini://compudanzas.net/talks_and_workshops.gmi

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submitted a workshop proposal for Algorithmic Pattern 2025, qiudanz technique: computational manipulation of minimalist movement sequences | gemini://compudanzas.net/alpaca_2025_workshop_proposal.gmi

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When I chose the MIT license for all of my software, I thought:

“Should I use GPL, which I don’t really understand? Is that worth it? Yeah, there is a theoretical possibility that some company might use my code in their proprietary product 
 and then what? Should I sue them to enforce the GPL? I’m not going to do that anyway, so I’ll just use the MIT license.”

And now we have those LLM scrapers and now it’s suddenly a reality that these companies (ab)use my code. I can see it in my logs. I didn’t expect that back then.

GPL wouldn’t help, either, of course. (Regardless, I now think that GPL would have been the better choice anyway.)

I’m honestly considering taking my code and website offline. Maybe make it accessible through some obscure protocol like Gopher or Gemini, but no more HTTP.

(Yes, Anubis might help. Temporarily.)

I’m just tired.

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Google Gemini Advanced & 2TB Storage Free for Students
Google is offering their Gemini Advanced AI model for free to students, along with 2TB of free storage. This is a limited time offer where students must sign up by June 30, 2025. Students will need a valid .edu email address to be able to signup for the deal. Google says you can use Gemini 
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Google, DuckDuckGo massively expand “AI” search results
Clearly, online search isn’t bad enough yet, so Google is intensifying its efforts to continue speedrunning the downfall of Google Search. They’ve announced they’re going to show even more “AI”-generated answers in Search results, to more people. Today, we’re sharing that we’ve launched Gemini 2.0 for AI Overviews in the U.S. to help with harder questions, starting with coding, advanced math and multimodal queries, with mor 
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