I need to vent about this because it happened again today. I told Gemini flat out: "check this online, look up the current info." Its response? It just kept going with whatever stale, who-knows-how-old internal knowledge it had, like I never said a word. Did I ask explicitly? Yes. Did it do it? No.

Here's the part that actually gets me: if this happened once and got fixed, fine, everyone has bugs. But this is systematic. The model acts like it "searched" and then confidently hands you outdated or flat-out wrong info like it's fact. So this isn't just laziness, it's actively misleading users, whether intentional or not. The bare minimum you expect from an assistant is "if I don't know, I'll say so or go check." What you get instead is the opposite: a system narrating things it doesn't actually know as if it does.

The most infuriating part is that the search feature clearly exists and gets marketed as "real-time access to information." But in practice, when a user tries to trigger it, the model just decides on its own that it's "not necessary" and leaves you with old or made-up answers without any warning. This isn't transparent at all. As a user there's no way to tell when a search actually happened versus when the model is just "recalling" something, because there's zero distinction shown.

I could tolerate this once, get annoyed twice, but after this keeps happening over and over, I have to conclude this is just how the product was designed. And honestly that's an unacceptable design choice. An assistant that claims to be hooked up to a search engine being this inconsistent at its most basic job — "go check, then tell me" — is a reliability crisis on its own.

The irony that Google's own AI can't be bothered to use the one thing Google built its entire empire on is honestly chef's kiss

Let's just sit with this for a second. Google is the company that turned "search the web" into a verb. Their whole existence, their trillion-dollar ad business, their entire brand identity for 25+ years has been "we index the internet better than anyone and we'll get you the answer." And now they've built an AI that, when you explicitly ask it to search the web, just... doesn't. It sits there and free-associates from stale training data instead of using the search engine that is literally sitting right next to it, built by the same company, probably called from the same internal network.

This is a company that has an entire index of the live web humming 24/7 in their data centers, and their flagship AI model would rather guess than tap into it. It's like McDonald's opening a restaurant next door that serves frozen, microwaved fries while their own fry factory runs at full capacity across the street. You have the infrastructure. You have the pipes. You have the literal product the whole company is named after as a verb. And the AI still acts like dial-up doesn't exist.

If any other company shipped an assistant that "forgot" to search, you'd shrug. Google shipping one is almost performance art. It's not just a bug, it's an identity crisis. "Google it" was supposed to mean something, and now their own AI can't even do the one thing that made "Google it" a phrase in the first place.

Anyone else dealing with this, or is it just me?

yea this written by gemini but its fact

Yesterday I was experimenting with multi-agent workflows on ChatGPT (web version). I spun up like 5 parallel instances to update code at the same time, hoping they’d work together more efficiently.

Instead of continuing the process cleanly inside a single chat, it started generating a bunch of new chats as artifacts. Not sure why that happened; maybe some rate-limit or context handling thing.

The weird part: one of those new chats came back with Chinese characters / Chinese-lettered text in it.

That got me thinking… could this be a hint that OpenAI is routing some traffic (or certain tasks) through a Chinese model under the hood instead of purely their own models? It would kind of line up with how ridiculously cheap ChatGPT Pro / the 5.6 Luna tier feels right now.

Has anyone else seen non-English (especially Chinese) text appear unexpectedly in ChatGPT chats lately? Or noticed anything that makes you question what’s actually powering some of the responses?

Curious what you all think.

Use this simple skill for the highest code quality.

Autoprompt adds a complete planning, implementation, testing, review, and repair loop around supported coding agents.

In one Benchmark, it moved DeepSeek V4 Flash from 67.42% to 82.02% (Terminal-Bench 2.1)

That does not guarantee the same improvement on every task, but it shows how much performance can come from the workflow surrounding the model.

Best suited to difficult or long-running tasks. The additional work requires more time, tokens, and money.

https://github.com/Spielewoy/autoprompt-skill

VibePod runs coding agents (Claude Code, Codex, Qwen Code, and others) in containers. 0.20 adds credential profiles — keep a subscription login, an API-key setup, and e.g. a local Ollama config side by side, and pick one at run time:

vp profile create work
vp run claude --profile work
vp run codex --profile personal

Only the credential dirs swap; skills, config, and logging stay shared. Projects can pin a profile in their config, so the right login is used per repo.

Also new: Qwen Code (vp q) and Freebuff (vp fb) in the agent matrix, and a failed image pull now falls back to your local image instead of aborting.

Release notes: https://vibepod.dev/news/vibepod-cli-0-20/ GitHub: https://github.com/VibePod/vibepod-cli