tsfrm/vacuum-16t
16.5T • Updated • 1.01k • 32
💼 Hiring
Firstname Lastname
DrHouseFan-315
AI & ML interests
hi
Recent Activity
new activity 4 days ago
tsfrm/vacuum-16t:Distilled Variants? new activity 5 days ago
tsfrm/vacuum-16t:🚩 Report: Spam liked a model 5 days ago
tsfrm/vacuum-16tOrganizations
None yet
Distilled Variants?
2
#6 opened 5 days ago
by 
kanttouchthis
🚩 Report: Spam
🔥😔 5
2
#5 opened 6 days ago
by 
LLaMA-lover
liked a
model 5 days ago
liked a
Space 7 days ago
reacted to onekq's post with 🧠🤗 8 days ago
Post
2212
There has been a leaked memo (now struck down) from the founder of DeepSeek. I'm not here to circulate it, but comment on the minimum-effort evolutionary path he proposed.
LLM->CoT->Agent->Self-improvement->Singularity->Physical
This makes sense to me: even at the agent stage I learn world models much faster than when I learned LLM at the LLM stage.
But this means humans are still needed beyond the digital singularity, until robots can close their own loop: eval, manufacturing, self improvement, i.e. physical singularity.
LLM->CoT->Agent->Self-improvement->Singularity->Physical
This makes sense to me: even at the agent stage I learn world models much faster than when I learned LLM at the LLM stage.
But this means humans are still needed beyond the digital singularity, until robots can close their own loop: eval, manufacturing, self improvement, i.e. physical singularity.
updated a
model about 1 month ago
published a
model about 1 month ago
Base model link broken
1
#19 opened 2 months ago
by DrHouseFan-315
Report
😔🔥 2
3
#1 opened 4 months ago
by DrHouseFan-315
reacted to 4455henley's post with 🤯 5 months ago
Post
151
How much oil does the us use a day?
reacted to Nymbo's post with 👍 5 months ago
Post
7888
We should really have a release date range slider on the /models page. Tired of "trending/most downloaded" being the best way to sort and still seeing models from 2023 on the first page just because they're embedded in enterprise pipelines and get downloaded repeatedly. "Recently Created/Recently Updated" don't solve the discovery problem considering the amount of noise to sift through.
Slight caveat: Trending actually does have some recency bias, but it's not strong/precise enough.
Slight caveat: Trending actually does have some recency bias, but it's not strong/precise enough.
- 3 replies
published a
model 5 months ago
updated a
model 5 months ago
Tokenizer
#4 opened 5 months ago
by DrHouseFan-315
reacted to marksverdhei's post with 😔 6 months ago
Post
4630
Poll: Will 2026 be the year of subquadratic attention?
The transformer architecture is cursed by its computational complexity.
It is why you run out of tokens and have to compact. But some would argue that this is a feature not a bug and that this is also why these models are so good. We've been doing a lot of research on trying to make equally good models that are computationally cheaper, But so far, none of the approaches have stood the test of time. Or so it seems.
Please vote, don't be shy. Remember that the Dunning-Kruger effect is very real, so the person who knows less about transformers than you is going to vote. We want everyone's opinion, no matter confidence.
👍 if you think at least one frontier model* will have no O(n^2) attention by the end of 2026
🔥 If you disagree
* Frontier models - models that match / outperform the flagship claude, gemini or chatgpt at the time on multiple popular benchmarks
The transformer architecture is cursed by its computational complexity.
It is why you run out of tokens and have to compact. But some would argue that this is a feature not a bug and that this is also why these models are so good. We've been doing a lot of research on trying to make equally good models that are computationally cheaper, But so far, none of the approaches have stood the test of time. Or so it seems.
Please vote, don't be shy. Remember that the Dunning-Kruger effect is very real, so the person who knows less about transformers than you is going to vote. We want everyone's opinion, no matter confidence.
👍 if you think at least one frontier model* will have no O(n^2) attention by the end of 2026
🔥 If you disagree
* Frontier models - models that match / outperform the flagship claude, gemini or chatgpt at the time on multiple popular benchmarks
- 4 replies
reacted to Alexander1337's post with 🔥🚀🧠👀 6 months ago
Post
1469
host website