🐉 Product Obsessed, AI Native, WoW Forever, Linux, Omarchy
Malta
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If you peel the whole stack, you might just realise, you dont need any software, framework or tool you used.
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Dear @Blizzard_Ent and @Warcraft @WarcraftDevs , please give us native Linux Battle.net & WoW Forever client.
I will help you port it, for free.
Regards,
All the nerds who would love to move away from proton on their main linux machines. (not to mention, Steam Deck, Steam Machine, Steam Frame just saying).
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Dear @Google @GoogleDeepMind, you have the chance, with Argon, to come back to the fray with the frontier (and even that is over-rated, we just need efficient models for the intelligence, look at Sol6.1 and Opus5.5).
Now, can I please use my Google subscription to use my tokens with Pi, Hermes, etc, and not through AGY (or Gemini CLI? Confusing stuff).
Regards,
Everyone who will actually make good use of these models.
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The most interesting part of the convo. That and decisions.
The $500 not so sure let's see.
Sol6.1 is promising
Dots oh well.
You can now use your ChatGPT subscription directly in over 16 partners products. No little rules, you can just use all your included usage right there. This includes things such as Devin, OpenCode, Notion, and many more.
Sign in with ChatGPT and go.
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Jev with vision. Fuck yes.
Dev Day announcement overview, as short as reasonably possible.
- Dots: personal assistant (similar to GrokBot, Muse etc)
- $500/month plan including Ultrafast
- GPT-6.1 Sol: really smart and cheap, way better than 6 was
- Decisions API: Jev killer with vision capabilities
- ultrafast is real (300tps on Astra). It’s way expensive though.
- sign in with ChatGPT: use your sub and inference in 3rd party apps
- extensions in ChatGPT can now be full apps
- 1 banked reset for all
I think that’s most of it!
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This is one of the weirdest moves especially after Opus 5.5.
I’ll explain the new Pro 200 plan differently, before I start live tweeting from DevDay on things that are going out!
Today we are going to ship a number of things that increase what you can do across the Plus and Pro plans. A lot of compute is online for this increase. As we increase the floor, we are changing the relative difference between plans to be
Plus = 1X
Pro 100 = 5X
Pro 200 = 10X
and we are reopening subscriptions for Pro 200 (we had paused it). If you have an existing plan you will keep the 20X multiplier for a bit and also receive a lot of additional credits because we know changes are hard even if it means that everyone will get more in the end.
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I see a bit of a trend here.
When one of the big labs is falling behind; oh guys our new model is so powerful we have security issues.
Clap clap. Good. You have proof. Fix them all.
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How does everybody feel about gyro aiming on a controller or Steam Deck? I am on the fence on this.
Doing some prototypes.
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Next AI wave: re-writing existing code-bases to be as close to the metal as possible. Free wins everywhere. Can't wait !
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This is huge guys and we will start seeing massive massive shift to computing because of this next year.
I'm afraid its also the coffin for x86 as we know it.
You asked. We listened.
The @Linux on @Snapdragon X2 Series Early Developer Preview is here. It's an early milestone, with support rolling out in phases, but developers can start exploring, testing, and providing feedback already today: bit.ly/3V2ARKp
Join our Discord and help shape the future of Linux on Snapdragon: bit.ly/4u7A2LX
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OpenClaw 2026.9.6 🦞
🤖 Opus 5.5, GPT-6 Sol/Luna, Grok 4.7
🔧 Managed updates
🧵 Restart recovery
📊 30d Usage
🐙 GitHub reader
💻 Remote Files, Memory & Skills
📝 Live meeting notes
🧠 Jev + decision models
2,614 PRs · 351 contributors · much more ↓
docs.openclaw.ai/releases/20…
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Last week I decided to experiment with local models, and training my own models for specific use-cases.
Why? LLMs and Frontier LLMs are great however performance (mainly latency) and cost is still a thing, especially with real-time systems.
My first experiment is very small, fully trained model from scratch and after 24 hours of iterations, the results are already speaking for themselves. I'm really excited about this !
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Then Jev came along last week and massive hype. Why? It's a very specific model, and easily a lot of use-cases have proven it is cheap, cost effective.
My point I guess is, we haven't tapped "industry standard" how AI workflows should be and we won't soon.
And my second point is that: I believe "frontier models" will really branch out from just being an LLM, and have dedicated smaller intelligence models in them.
Future is exciting, and the future is here.
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My GPU has been running at 8x the whole time. 😢
Then comes Omarchy and Claude and instantly flags it to me.
The future.
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I've had @openclaw since beginning of the year, in June I experimented with the beta, moved it to a VPS, used it on and off.
Yesterday I struggled so much, that I decided to start a clean fresh install on v2026.9.5
Experience has been night and day. It might be worth to start fresh.
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