E-mail from Anthropic Team:

Hello,

We're writing to inform you about some updates to our Privacy Policy.

These changes only affect consumer accounts (Claude Free, Pro, and Max plans). If you use Claude Team, Claude Enterprise, the Claude Platform, or other services under our Commercial Terms or other agreements, then these changes don't apply to you. What's changing?

Claude can do more than ever — taking on bigger tasks and connecting with the apps you use. We've updated our Privacy Policy to be clearer about the data we collect and how we use it. We encourage you to read the updated Privacy Policy in full, but we’ve set out a summary of the key changes below:

1. Multi-step tasks and connected apps. As Claude takes on more multi-step tasks and works with third-party apps and services, we've explained the data this involves — including how data can flow to and from third parties when you connect a service or have Claude do tasks on your behalf.

2. Verification data. As part of our measures to keep our services safe and secure we may ask you to verify your age or identity, and we've described what we collect and how.

3. Study participation. If you take part in Anthropic studies, surveys, or interviews, we've explained the information we collect.

4. Additional information about our data practices. We’ve provided more detail about how we communicate with you and promote our services, including providing tailored recommendations about our services that may be of interest to you. We've also clarified the circumstances under which we may receive or provide data to third parties, and the legal bases we rely on when processing your data.

While our products have evolved, our commitments haven't: We don’t sell your data, Claude remains ad-free, and you can control whether your chats and coding sessions are used to train and improve Anthropic’s AI models. Learn more

For detailed information about these changes:

    Review the updated Privacy Policy
    Visit our Privacy Center for more information about our practices

- The Anthropic Team

Will try it when my limit resets.

I received this e-mail today and coincidentally some of my posts finally got some engagement and I guess you just get flagged as a bot by the bot system, welcome to the new internet. So much for open algorithm, it doesn't help you here.

X

Hello {username},

Your account, {username}, was reported and has been suspended for violating the X Rules.

Specifically, for:

Violating our rules against inauthentic behaviors.

You may not use our services to engage in inauthentic activity that undermines the integrity of X.

Note that if you attempt to evade a suspension by creating new accounts, we will suspend your new accounts. If you wish to appeal this suspension, please contact our support team.

You can also pursue alternative forms of redress, including out-of-court dispute settlement or judicial redress. Learn more here.

If you have an active X Premium subscription, it will not be automatically canceled by X. To cancel your X Premium subscription, follow these instructions.

I got this too. Feels bad.

Glad to see other people realizing this. I've been running Gemma 26B-A4B Q4 on a 2012 Xeon with 16GB to 24GB of RAM in a container. It's getting around 8 to 12 tokens per second. Obviously it's not comparable to huge contexts and running it on a GPU and the image decoder in llama.cpp is super slow compared to a GPU but for some small automation tasks and general trivia questions it's decent. The speed is just enough to not have to wait for it to finish so you can read along.

Here's my setup. You may want to figure out what the best optimizations are for your specific CPU like AVX2 because mine didn't have most of them. I did try MTP briefly but I wasn't getting performance improvements. You could play around with the batch sizes for cache or context or go even lower for Q2 and don't overcommit on threads either, but I would suggest either defaults or trying out llama-bench. This isn't by any means the best I assume but it worked decently for me and I sometimes swap out Gemma for Qwen. You could also lower q8_0 to q4_0 for more context but it could hurt quality some say, altough I have noticed it too on some models.

# Building

cmake -B build -DCMAKE_BUILD_TYPE=Release -DGGML_NATIVE=ON -DGGML_BLAS=ON -DGGML_BLAS_VENDOR=OpenBLAS -DGGML_OPENMP=ON

# Running

export OPENBLAS_NUM_THREADS=4

export OMP_NUM_THREADS=4

OPENBLAS_NUM_THREADS=4 OMP_NUM_THREADS=4 \

llama.cpp/build/bin/llama-server -hf unsloth/gemma-4-26B-A4B-it-GGUF:UD-Q4_K_XL --temp 1.0 --top-p 0.95 --top-k 64 --min-p 0.00 --jinja --host 0.0.0.0 --port 8080 --cache-type-k q8_0 --cache-type-v q8_0 --threads 4 --threads-batch 4 --ctx-size 8192 -n 8192 --batch-size 2048 --ubatch-size 512 --no-mmap --mlock --chat-template-kwargs '{"enable_thinking":false}' --no-mmproj -np 1 -fa 1

I'm setting up a Frankenstein system at the moment. It's a Chinese DDR3 X99 motherboard with a 12 core Xeon v3, 32gb 1866MT/s ram, and a 1080 Ti.

I'm shoehorning it back in the Optiplex that donated the ram, so it's not ready to go at the moment, but when I had it running on top of the motherboard box as a test I ran the (9B?) gemma4:e4b-it-q4_K_M since it can fit entirely in the 11gb vram. It flew, more than 50tk/s. A model that small isn't useful for coding, but there could be uses. I'd love to figure out a Wake-on-Use and use it as my personal ChatGPT. I'm not sure how that would work... Maybe proxy the LLM thru a Pi with a script to Wake-on-LAN the PC? It'll be a fun weekend project someday.

My always-on LLM is the dense Gemma4:31b that's not quite half in GPU on a 12gb 2060. It's really slow, but the quality is great and my use case is an automated queue so I'm not sitting there watching the output. I have another 2060 but unfortunately the PC won't POST with both installed for some reason.

> I'd love to figure out a Wake-on-Use

if you have an openwrt router this is very easy to do. i have a script on my main working machine that will ssh openwrt and turn on the server and this work well

Speaking of llama and local compute, there was a tweet from Georgi Gerganov (llama.cpp author) a couple of days ago saying that he is currently using Qwen3.6 27B, running locally on a Mac M2 Ultra or RTX 5090, to assist with llama.cpp development.

AI for me but not for thee.

"Cheap clients pay the least and complain the most."

I saw some small business owner complain about this behavior on twitter some time ago and he mentioned he only saw non-Americans do this and it made him really mad or something and he didn't provide the service and banned them or something. Funnily enough I do think this happens so sometimes I cancel instantly and sometimes deliberately wait until there are a few days left on the subscription exactly out of paranoia behavior that you'll get a worse service or something, that they must have some database field early cancel and mess with you or something.

Why would they salt their own field it's hard to understand

Not to dismiss the AI but the important part is that you still need someone able to recognize these solutions in the first place. A lot of things were just hidden in plain sight before AI but no one noticed or didn't have the framework either in maths or any other field they're specialized in to recognize those feats.

Sad. I liked Gemini CLI. I used it a lot and occasionally use it these days. I've never tried Antigravity though.

December 2025 was the breakthrough for me. January Claude was euphoric, ChatGPT was up there. February Gemini cooked for a second there. March amazing. April the big bad nerf. May GPT 5.5 is just pure bliss altough 2x limits temporarily, not sure about Claude it's sort of okay still not as good as it felt before, slowly increasing limits with more compute and rebuilding good will.

I find your emotional language truly quite fascinating. I've heard people talk like that about drugs.

I actually thought it was a joke comment, but I'm worried now that it's not the case.

Similarly, I've heard people talk like that about things that are not drugs.

You can get a dopamine rush from anything, from drugs to using LLMs.

I think Opus 4.6 at its peak was the "how can anyone not get that this is good" for me.

Then the nerf, and the massive uplift in tokens for 4.7, a model which I find lazy and prone to hallucinate.

It's probably time to try GPT5.5. Like many I'm pretty heavily invested in the anthropic ecosystem at this point, which I suppose gives another strong reason to make the switch.

The openclaw ban pushed me over to 5.5 for some daily usage. I feel like Opus and 5.5 are good at very different things. 5.5 can be too literal, and it does not have as much of a ‘creative’ bent whether that’s toward design, UI/UX, interpreting vague instructions, etc. So, in that way, Opus had sort of spoiled me.

On the other hand, this year I’ve been in the habit of using codex as a bug finder / audit layer, where it shines, and I can tell you, Opus makes a lot of mistakes, and as we all know struggles with laziness — and has gotten good at encoding that laziness into the codebase (// Per instructions, pass this test by default) where it can live for a long time. So, Opus had spoiled me, but more with its ability to sketch holistically than its ability to put out perfect codebases.

Upshot - it was good to switch horses for a while, as you mention. Slightly different skill sets there. And I still reach for claude especially for initial design. But right now the daily driver is 5.5 / xhigh fast mode, and it’s very capable.

I only used Claude first time in April, previously only ChatGPT and Gemini. And I struggle to see what the hype is all about - yes it seems a tiny bit smarter than the pack, but on the 20$ subscription it runs out of tokens in 5-20 minutes, and then you need to wait 3-4h.

ChatGPT 5.5 seems capable, although a bit stingy with “thinking” compared to earlier models, and I never run into session limits.

I couldn't imagine using CC on the basic tier!

Even operations and GTM are all at "professional" level (which I think is vaguely equivalent to 5x).

I was a dedicated Claude user but in March/April I started using GPT5.5 on a new project that Claude had tried and failed to execute successfully. GPT knocked it out of the park, and was able to do it within my subscription allocation of tokens. I'd recommend giving it a go at least. Something like OpenClaude can let you use the Claude tools you're used to