mixermachine

You could consider going with OpenCode Go for 10$. The value you get is claimed to be 80$ in DeepSeek v4.1 Flash API value. I use that and so far it is good for me. Some claim they run a different quant but I so far don't see that.

They more or less had to. The PDF foundation has added JXL into the standard. Even Google can't afford to not display PDFs properly. Including it in the rendering engine is then just the logical next step.

Yer I also use service with zero data retention promises but it is hard to really trust them for me... They trained on basically all of the existing material, legal or illegal already and are starved for true human input. They are also in a heavy arms race were basically only a handful of companies will survive.

Yer, that is my bad for not updating myself, sorry. I did miss the introduction of Alt + Tab or /thinking command for switching this.

Good thing I can remove another package.

No I did not ask AI for this. This is the understanding I have from working with PI for a year.

They also say so on their website ( https://pi.dev/ ): "Pi ships with powerful defaults but skips features like sub-agents and plan mode. Ask Pi to build what you want, or install a package that does it your way."

I fully agree on the quality of the packages. Can vary quite a bit. I stick to very popular ones.

Leaving this here: https://youtube.com/shorts/83X79cfuE3k

(yes, AI critique is now also made with AI. We have come full circle.)

Copied from myself above:

That goes against the philosophy of pi. Nearly Everything is a Plugin. Need to set the reasoning effort? Install pi-reasoning. Need subagents? Install pi-subagents. Need permission gating? Install one of the permission extensions (otherwise the agent can do everything).

A feature like cache warming on Anthrophic feels very strange in this environment. NOT saying that it is not useful. It just should be a plugin.

Pi with Caveman Plugin :D

That goes against the philosophy of pi. Nearly Everything is a Plugin. Need to set the reasoning effort? Install pi-reasoning. Need subagents? Install pi-subagents. Need permission gating? Install one of the permission extensions (otherwise the agent can do everything).

A feature like cache warming on Anthrophic feels very strange in this environment. NOT saying that it is not useful. It just should be a plugin.

I wouldn't touch fields or canals. The US has incredible amounts of parking lots. They are also mostly built in very developed parts of the land with a lot of users for electric power in close proximity. And a parking lot is already "sealed ground". Might be less problematic to get a permit there?

Additional plus: cars don't heat up in the sun. And at some point you might even charge EVs there.

After reading through the threat here it seems more like a cultural thing. The US has quite a lot of filters for profanity. I remember from my youth that in 2009 Eminem was a guest in a Germany TV show and very happy to swear as much as possible without being censored. https://www.youtube.com/shorts/2OC-yKZ5Yag

Am I, with around 30, in this generation? Putting * in words seems like self censorship to me. Still, might have a cultural component. German here.

I also no longer trust benchmarks on this one. When the context gets a bit longer and the problem harder low quant models often produce worse output for me. Sometimes they even loop.

Interestingly different formats also often behave differently. GGUF unsloth is so far the best for me.

Project Farm on YouTube has never disappointed me. The guy buys everything himself and finds creative & reproducible ways to test things.

The engram stuff is great because RAM is often still cheaper (or at least expandable). My company does currently look into buying some hardware as we handle confidential data and code.

Qwen 3.8 Flash is viable on two Nvidia 6000 96GB with a wood quant because you can put the 50GB Engram into RAM and the hit should be below 10% performance. At least that is what I have seen so far. Correct me if I'm wrong.

I need to support integrators for a mobile app SDK. Bank stuff.

We have one integrator which consistently uses a truly bad AI. My brain skips after two sentences already. There are always +9 questions what should just be 2 max. Redundant info is requested (e.g. please provide a change history of this function and if it will be deprecated) and everything is just unbelievably verbose.

90% of questions we get from them are already answered by the web documentation (which even has a search function) or are just non sense.

I'm truly considering to build an MCP just for them...

Did you already test TranslateGemma? I use this model for my Android Studio Translation Plugin (https://plugins.jetbrains.com/plugin/30265-localizepipe) and so far it produces great results for its size.

If there are other models (of similar size) out there, that are better at this, please let me know.

Scaling a model on a chip is quite hard. ChatJimmy is based on Llama 3.1 8 billion. Kimi K3 has 2.8 trillion parameters. That are 350x more parameters.

I would expect that Gemma 4 E2B (approx 5.1 billion parameters) or maybe even Gemma 4 26 billion A4B at some point is running on a chip.

Channels like project farm https://youtube.com/@projectfarm or other reviewers that are not sponsored are truly my main source of information in this age.

Some direct reviews between 2 and 4 stars are also sometimes useful. Always discard the 5 star ones...

If there are no changes to the system message, yes this is possible and also likely done by Anthropic. When there are additional local MCPs, reusability will be lower.

I think that Anthropic will bill you in any case :D

right, but the cache retention time is very short for Anthropics LLMs. 5 minutes or 1 hour (with additional costs). So you have to prompt basically non stop to not get a cache eviction.

Anthropic even changed this silently: https://www.reddit.com/r/ClaudeAI/comments/1sk3m12/followup_...

The OpenCode CLI does not work as well for me as the PI CLI. I'm a subscriber of OpenCode Go (the sub, good value for me really) but I had not great experiences with OpenCode CLI. It multiple times with different models deadlocked itself into listing endlessly to non ending processes (Android Debugging Bridge, COM serial log, ...). There was also a problem where the OpenCode CLI would crash after sometime with a Bun error.

I switched to the PI CLI and have no problems with hanging processes anymore. OpenCode Go allows for API access so I'm keeping this sub.

Works on Brave (Chromium) with Android 16

It is quite interesting how this is handled world wide. For me PII is very sensitive and I advice people to be very cautious. Every business in the EU (were I live) also has to be very careful with such data by law. Fines are now at a level were they can hurt the business significantly.

During vacation in an Asian country on the other side all of this was basically a no brainer for smaller to medium businesses. I once rented a scooter there and the business owner had all her documents organised in WhatsApp chats. Including now my passport plus drivers licence... The people in general in that country were also very relaxed when it came to giving out their contact details to random businesses.

I don't want to throw shade on them, thus no country name. Incredible friendly and welcoming people there.

Right, I did swap that. Still, you have to pay that 4k then every year and give out the code. I also assume that prices will go up as no AI company (but NVIDIA -> selling shovels) is currently making any money.

For some projects the giving out the code part might be ok (i use Codex there too) but for the core app at the company I'm working at there is currently a strict no-AI policy. A local GPU solves this.

With parallelism of 16 you can still get around 25 to 30 tokens per user when all 16 channels are running. Not everyone will use the model at the same time but it certainly will be tight, especially for agentic coding. For pure chat applications this should be quite fine.

The 5h quota of Codex Pro on GPT 5.4 Medium lasts me for around an hour and a half, maybe 2 hours. And this is already the "savy" setup. Enable GPT 5.5 High fast and you will be beached in 30 minutes with active development.

For continues all day work you definitely need a higher tier sub level.

I'm actually looking into deploying a GPU at my company because we can not give out our code. Qwen 3.6 looks good

That is crazy. 5 years and they are already shutting down the servers? They should be forced to open up the API when they shut it down. Running a replica yourself should be pretty doable.

RAM + GPU are getting more expensive but mostly for applications that require a lot of it like AI. The hardware cost for regular applications has not vastly increased (especially when factoring in inflation). Spending 2x development time on a problem often is not worth it (or only with large deployments).

UI development is an even more special case here. The customer buys the machine which runs the code, not the company. So sadly "good enough" is the standard.

One example for me here is the "switch product option" button on Amazon listings (e.g. switch green to blue color, smaller to larger model). On my phone this sometimes takes >5 seconds to properly load. Horribly optimised.

In my experience in software architecture, drawing a diagram often saves you >60 minutes of discussion and potentially multiple meetings. This works even with a badly drawn but truthful one.

Use an Ai agent + Mermaid.js for a quick scribble if you are in a remote meeting. Use white boards or pen + paper in a local meeting.

Diagrams are so much clearer then words, especially if the concept or logic in question is not trivial.