Stop the environmental damage of data centres by... Making extra hardware and moving inference to a less efficient area? This only makes sense if you're on off-grid solar.
How did they nail down a price but no specs? Very odd.
They're targetting people who want AI and will spend thousands, but don't know enough to ask _any_ details? Why wouldn't that audience just be on chatgpt?
We left the specs out because the landing page was made for non-technical consumers who aren't aware of the hardware required in general.
Here are the specs:
Processor (SoC): AMD Ryzen AI Max+ 395 Memory: 128 GB LPDDR5X-8000
Motherboard: custom
Storage: NVMe SSD, 4 TB: WD_Black SN850X 4TB
Rest is basic: ethernet, usb c ports, wifi module, power supply
Inference engine: llama.cpp
Models:
A fast default for chat, email and calendar: a 30B-class mixture-of-experts model like Qwen3-30B-A3B.
A larger model for harder tasks: gpt-oss-120b.
A coding model: Qwen3-Coder-Next.
The late release date is specifically to fine tune the experience for the non technical consumer, someone who wouldn't know what model to switch to for what task. We want this to be a seamless out of the box experience. UI/UX is very important here. Another reason for the late release is the chip cant be bought off the shelf and need AMD to sell us the chip at a certain volume
So you are targeting the market of non-technical users who don't care about the basic specs for a computer and care so deeply about privacy that they are also willing to spend three thousand dollars on a device that won't arrive for another year or more?
Every single non-technical user I can think of would either say "why should I buy this if chatgpt is free" or "ai is dumb and I don't want to use it."
The chat UI is duplicating the chatgpt/claude web chats, where you've got a list of chats on the left and each new thing you wanna do is expected to be a new chat, and maybe it has memories it writes to or can search chats to cross reference.
I've been using these things a bit differently lately, more of a personal assistant - probably more of the OpenClaw setup I'd guess, though I haven't used OpenClaw. I have my macbook running constantly and it has a session running for reach of my projects, plus one session called pa (personal assistant) which is set up to track tasks and to talk to all the other sessions.
The pa is the only session I directly interact with anymore. It's got it's own Signal account and a single Signal chat is the way I interact with all my sessions. Actually, there are a few sessions run on other machines too that it knows how to get to, but mostly it's just the per-project sessions on my macbook.
I think that's how I'm gonna want stuff like this to work - mostly in one single text thread that delegates to the others. The others don't have to be totally invisible, being able to drop into them individually would be fine as long as it doesn't interfere with the simplicity of the main thread.
So the PA itself isn't really a problem, it mostly just delegates to other sessions and if it has personal assistant-type work to do, it uses subagents. The per-project sessions are also meant to use subagents liberally.
But the actual answer is just one session per project and auto-compacting. Actually I run into usage limits on both codex and claude max subscriptions and so there is also a fair bit of it having to do codex/claude handoffs which is like a worse auto-compact.
I am quite sure I get worse results at a higher cost than I do for my actual day job, where I'm taking ownership of code, getting the actual code I want, and therefore doing a lot more manual context management.
But for side projects and other personal computer usage it's all vibing and auto-compacting.
We left the specs out because the landing page was made for non-technical consumers who aren't aware of the hardware required in general.
Here are the specs:
Processor (SoC): AMD Ryzen AI Max+ 395 Memory: 128 GB LPDDR5X-8000
Motherboard: custom
Storage: NVMe SSD, 4 TB: WD_Black SN850X 4TB
Rest is basic: ethernet, usb c ports, wifi module, power supply
Inference engine: llama.cpp
Models:
A fast default for chat, email and calendar: a 30B-class mixture-of-experts model like Qwen3-30B-A3B.
A larger model for harder tasks: gpt-oss-120b.
A coding model: Qwen3-Coder-Next.
The late release date is specifically to fine tune the experience for the non technical consumer, someone who wouldn't know what model to switch to for what task. We want this to be a seamless out of the box experience. UI/UX is very important here. Another reason for the late release is the chip cant be bought off the shelf and need AMD to sell us the chip at a certain volume
Interesting, I've thought of setting up something like this. I would agree with the other comments I want to know more about what is inside the box. Also waiting 12 months for them to start shipping sounds like a long lead time. Is it still a personal computer without a screen and an operating system? How many watts is the Panda?
Just saw your youtube channel, would love to connect (x.com/officialmoezee)
It will have an internal operating system, that can be accessed in debug mode by more technical users, we believe in the right to repair, overclock etc.
The device in the original article is estimated at $3k. That's not a "normie" device, that's a niche power user or someone wealthy enough to hire someone to show them how it works.
I love the idea of this. But things are moving too fast and $20 / month to have a frontier model is something a $3000 non upgradeable black box running an open source model can't compete with.
this is true, but the average consumer is not as concerned about the difference between frontier and where open models are today. We believe that as things move forward open source models are going to become a lot more efficient. The panda is also not limited to one person, a whole household can use panda
We left the specs out because the landing page was made for non-technical consumers who aren't aware of the hardware required in general.
Here are the specs: Processor (SoC): AMD Ryzen AI Max+ 395 Memory: 128 GB LPDDR5X-8000 Motherboard: custom Storage: NVMe SSD, 4 TB: WD_Black SN850X 4TB
Rest is basic: ethernet, usb c ports, wifi module, power supply
Inference engine: llama.cpp
Models: A fast default for chat, email and calendar: a 30B-class mixture-of-experts model like Qwen3-30B-A3B. A larger model for harder tasks: gpt-oss-120b. A coding model: Qwen3-Coder-Next.
The late release date is specifically to fine tune the experience for the non technical consumer, someone who wouldn't know what model to switch to for what task. We want this to be a seamless out of the box experience. UI/UX is very important here. Another reason for the late release is the chip cant be bought off the shelf and need AMD to sell us the chip at a certain volume
ddxv | 20 hours ago
smiles_andcries | 20 hours ago
ViscountPenguin | 19 hours ago
davrosthedalek | 19 hours ago
ivanmontillam | 19 hours ago
[OP] moezee1 | 17 hours ago
Zaraif13 | 19 hours ago
[OP] moezee1 | 17 hours ago
Yup users will be able to switch models
blakeashleyjr | 19 hours ago
kadoban | 19 hours ago
They're targetting people who want AI and will spend thousands, but don't know enough to ask _any_ details? Why wouldn't that audience just be on chatgpt?
popalchemist | 19 hours ago
[OP] moezee1 | 17 hours ago
[OP] moezee1 | 18 hours ago
We left the specs out because the landing page was made for non-technical consumers who aren't aware of the hardware required in general.
Here are the specs: Processor (SoC): AMD Ryzen AI Max+ 395 Memory: 128 GB LPDDR5X-8000 Motherboard: custom Storage: NVMe SSD, 4 TB: WD_Black SN850X 4TB
Rest is basic: ethernet, usb c ports, wifi module, power supply
Inference engine: llama.cpp
Models: A fast default for chat, email and calendar: a 30B-class mixture-of-experts model like Qwen3-30B-A3B. A larger model for harder tasks: gpt-oss-120b. A coding model: Qwen3-Coder-Next.
The late release date is specifically to fine tune the experience for the non technical consumer, someone who wouldn't know what model to switch to for what task. We want this to be a seamless out of the box experience. UI/UX is very important here. Another reason for the late release is the chip cant be bought off the shelf and need AMD to sell us the chip at a certain volume
UncleMeat | 8 hours ago
Every single non-technical user I can think of would either say "why should I buy this if chatgpt is free" or "ai is dumb and I don't want to use it."
keyle | 19 hours ago
If I had a device "all AI" for home, stt/tts would be my minimum requirement. Being able to reach it from outside, that's a negative mark for me.
[OP] moezee1 | 17 hours ago
No speaker, vent.
RohanAdwankar | 19 hours ago
postatic | 19 hours ago
dumbmrblah | 19 hours ago
[OP] moezee1 | 17 hours ago
verdverm | 17 hours ago
there are no notifications for HN and we can all see the multiple long blocks of texts with the same specs existing options provide
furyofantares | 19 hours ago
I've been using these things a bit differently lately, more of a personal assistant - probably more of the OpenClaw setup I'd guess, though I haven't used OpenClaw. I have my macbook running constantly and it has a session running for reach of my projects, plus one session called pa (personal assistant) which is set up to track tasks and to talk to all the other sessions.
The pa is the only session I directly interact with anymore. It's got it's own Signal account and a single Signal chat is the way I interact with all my sessions. Actually, there are a few sessions run on other machines too that it knows how to get to, but mostly it's just the per-project sessions on my macbook.
I think that's how I'm gonna want stuff like this to work - mostly in one single text thread that delegates to the others. The others don't have to be totally invisible, being able to drop into them individually would be fine as long as it doesn't interfere with the simplicity of the main thread.
NegativeLatency | 19 hours ago
Not a gotcha, just trying to understand how your setup works
furyofantares | 18 hours ago
But the actual answer is just one session per project and auto-compacting. Actually I run into usage limits on both codex and claude max subscriptions and so there is also a fair bit of it having to do codex/claude handoffs which is like a worse auto-compact.
I am quite sure I get worse results at a higher cost than I do for my actual day job, where I'm taking ownership of code, getting the actual code I want, and therefore doing a lot more manual context management.
But for side projects and other personal computer usage it's all vibing and auto-compacting.
NegativeLatency | 3 hours ago
furyofantares | 49 minutes ago
logs/ keeps logs of various activities, including a daily unified log of my chats with it + it's messages to/from the other agnets
notes/ has notes on all the various projects, or any time i have it do research on something it'll keep notes here
reference/ similar to notes but more for content that has been pulled in externally
reminders/ stuff it's supposed to remind me about
scripts/ many different scripts it's written to do all the work it does
tasks/ open tasks
tasks/done/ completed tasks
singpolyma3 | 19 hours ago
Basically vapourware.
binlog | 19 hours ago
December 2027 shipping date is hilarious for an AI hardware product.
[OP] moezee1 | 18 hours ago
We left the specs out because the landing page was made for non-technical consumers who aren't aware of the hardware required in general.
Here are the specs: Processor (SoC): AMD Ryzen AI Max+ 395 Memory: 128 GB LPDDR5X-8000 Motherboard: custom Storage: NVMe SSD, 4 TB: WD_Black SN850X 4TB
Rest is basic: ethernet, usb c ports, wifi module, power supply
Inference engine: llama.cpp
Models: A fast default for chat, email and calendar: a 30B-class mixture-of-experts model like Qwen3-30B-A3B. A larger model for harder tasks: gpt-oss-120b. A coding model: Qwen3-Coder-Next.
The late release date is specifically to fine tune the experience for the non technical consumer, someone who wouldn't know what model to switch to for what task. We want this to be a seamless out of the box experience. UI/UX is very important here. Another reason for the late release is the chip cant be bought off the shelf and need AMD to sell us the chip at a certain volume
nacs | 10 hours ago
How are you going to build an entire system shipped for $3k?
This spec sheet looks more like a dreamed-up spec sheet than pricing reality.
tianqi | 17 hours ago
youniverse | 19 hours ago
[OP] moezee1 | 17 hours ago
midnitewarrior | 19 hours ago
skyberrys | 19 hours ago
[OP] moezee1 | 17 hours ago
It will have an internal operating system, that can be accessed in debug mode by more technical users, we believe in the right to repair, overclock etc.
170 W
drivingmenuts | 19 hours ago
[OP] moezee1 | 17 hours ago
josh-wrale | 19 hours ago
fcarraldo | 19 hours ago
FuriouslyAdrift | 19 hours ago
[OP] moezee1 | 17 hours ago
verdverm | 17 hours ago
[OP] moezee1 | 17 hours ago
Some of them might've heard of open claw when it went viral but they definitely don't know what it is or how it works
verdverm | 17 hours ago
FuriouslyAdrift | 7 hours ago
mcoliver | 18 hours ago
[OP] moezee1 | 17 hours ago
verdverm | 4 hours ago
[OP] moezee1 | 17 hours ago
We left the specs out because the landing page was made for non-technical consumers who aren't aware of the hardware required in general.
Here are the specs: Processor (SoC): AMD Ryzen AI Max+ 395 Memory: 128 GB LPDDR5X-8000 Motherboard: custom Storage: NVMe SSD, 4 TB: WD_Black SN850X 4TB
Rest is basic: ethernet, usb c ports, wifi module, power supply
Inference engine: llama.cpp
Models: A fast default for chat, email and calendar: a 30B-class mixture-of-experts model like Qwen3-30B-A3B. A larger model for harder tasks: gpt-oss-120b. A coding model: Qwen3-Coder-Next.
The late release date is specifically to fine tune the experience for the non technical consumer, someone who wouldn't know what model to switch to for what task. We want this to be a seamless out of the box experience. UI/UX is very important here. Another reason for the late release is the chip cant be bought off the shelf and need AMD to sell us the chip at a certain volume
verdverm | 17 hours ago
dprimemuhammad | 14 hours ago
OutOfHere | 14 hours ago