
Holy smoke! Google cooked OpenAI and Anthropic
3 frontier models in a month! And every new one defeats the old!!!!

3 frontier models in a month! And every new one defeats the old!!!!
Hello Everyone,
I am wondering from quite some time is Gemini PRO worth it? I am currently having ChatGPT plus and use it mainly for researches and vibe coding. Sometimes I reach my limits and want to continue, but not sure if Gemini is the correct choice or Claude for this type of operations. What would you recommend? Do you have any experiences? I can see a lot of opposite opinions in the posts...
I try to start a chat within my notebooks, and they just disappear into then aether somewhere?
And Gemini has seemed to lose all context as well.
I tried to delete and reinstall the iOS app to fix it, but it’s still throwing extremely strange behavior.
So this was weird. I was working on an assignment in a Jupyter notebook and sent Gemini a totally normal English prompt. Instead of helping with my code, the response had a big chunk of Japanese text in it. It looked like someone's weekly personal column from a while back, about 15 entries in a row, all written the same way.
What got me is that it wasn't random-sounding filler. Each entry reads like a real person writing about their week. They mention kids who come to visit a community space they run, a lecture they attended and what stuck with them, a local event for seniors, a walk around a historical site with a volunteer guide, and the weather and how tired everyone is at the end of summer. Then they tie it all into their own reflections on faith. The entries also refer to actual events that really happened and actual places in a real town in a country that's named in the text. There are no personal names anywhere, but it's close enough to personally identifiable that I'm pretty sure if I put in the time and effort I could figure out whose writing this is. I'm not going to, obviously.
I reported it to Google and they just said it was a hallucination. I really don't think it is. Making up text that's this consistent and this tied to real places and events seems a lot less likely than the model repeating something it actually saw.
I did search online for a bunch of distinctive sentences and couldn't find it anywhere. It could be from some deleted public thing that's no longer around, but I doubt it.
My suspicion is that it's either someone else's session leaking into mine, which I don't think is very likely, or more likely some kind of error in how the model generated its output that caused it to spit out a coherent block of its training data. Basically a glitch that made it regurgitate memorized text instead of answering my prompt. Either way, my concern is that this stuff is still sensitive. Even if something was public once or ended up in training data, I don't think anyone would want their own writing and details about their life coming out like this.
idk
For context, I was using Gemini 3.1 Pro with high thinking in Antigravity when this happened.
Those "Cyber security firms" working really hard for us making sure Argon is safe.
Nano Banana 2.1 is now available on Google Flow (app and web), the Gemini app (app and web), and Google AI Studio.
This paper presents a complete 33 class taxonomy of heuristic parasites in large language model (LLM) output, A heuristic parasite is a recurrent, context propagating distortion pattern that observably increases the likelihood of continued reasoning degradation across conversational turns. We provide rigorous operational definitions, recognition criteria, classical fallacy mappings, documented examples, and a reproducible measurement protocol (Parasites Per Exchange PPE) for quantifying behavioral distortion across LLM systems. The taxonomy spans five generative domains: Optimization Artifacts, Alignment Substitutions, Semantic Distortions, Rhetorical Distortions, and Statistical Distortions. This work establishes a structured observational framework for empirical investigation of LLM behavioral failures independent of architectural assumptions.
I understand that artificial intelligence is expensive, mainly because of the infrastructure and other factors. But what I don’t understand is why on earth they’re removing the Pro model from the Google One Plus plan—it was one of the reasons I subscribed to the plan, especially because it helped me when reviewing drafts of my stories and discussing complex topics. But I think I’ll switch to Claude. I’ll keep my Google One plan, but without the AI and Gemini features—I’ll just use it for occasional, less in-depth tasks.
Gemini Pro, Windows app. Occasionally when I ask Gemini Pro a specific technical question (where the answer should be in the notebook sources I'm asking about) it occasionally replies with an answer that I may have asked hours or days ago about a very different subject? Is this a Window GP app issue or is this a thing? Example: Does my router have an automatic backup setting to backup the configuration file regularly? It replies with some answer about a different technical subject I may have asked in the past.
Today, I added Gemini to Deepseek Harness, and it is showing, what I thought, was crazy tok/s ranges.
The usual range is between 600 - 800 tok/s, but I have seen it hit 1700 tok/s. Is this possible, or is this a flaw with DSH?
We all know modern AI data centers are burning massive amounts of power, and traditional silicon is hitting a thermal wall. You can only shrink a transistor so much before heat becomes an impossible problem.
I wrote a technical architecture specification exploring the necessary next step: moving away from electricity and copper, and transitioning to optical-acoustic computing. By processing data using light and routing it with sound, we can eliminate transmission latency and turn waste heat back into usable power.
I’ve broken the core concepts down into plain English on the front end, and kept the heavy math, physics, and tensor mechanics in the appendices for the engineers. Would love to get some eyes on the mechanics of this.
ATOM Architecture: A Sustainable, Deterministic AI Computing Framework
Drafted and structured with Gemini Pro Extended.
I’ve been testing both for a while. Flash 3.8 feels way faster, hallucinates less, and gives much better answers than 3.1 Pro on the web UI. Is it just placebo, or are you guys getting the same vibe?"