@marcinteodoru: “hey… you know those insanely powerful AI brains that usually live in giant data centers owned by billion dollar companies?” “yeah… you can now run them yourself.” That’s Gemma 4 by @Google @googlegemini #greenscreen

Marcin AI
Marcin AI
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Region: US
Friday 03 April 2026 17:19:48 GMT
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walaric5
walaric :
It's jema not gamma
2026-04-03 21:47:11
425
successfulsamurai
successfulsamurai :
we are fed up of AI
2026-04-04 00:01:18
141
a1pha.dev
a1pha.dev :
This will be huge and we won’t need NVidia
2026-04-03 21:29:53
425
wonderer365
Daniel :
I tried it on 16GB Ram PC, it takes a minute to replay hello on openclaw
2026-04-04 05:18:46
64
mcweelie
Lee :
Are you purposefully mispronouncing it Gamma for interaction? Clearly says Gemma.
2026-04-03 21:39:16
84
icyfrosty3
Frosty :
Something is fishy cause no way Google would do something where they do not profit
2026-04-04 17:16:38
18
samyboca3
Samy Boca :
it's actually very good and fast
2026-04-04 00:04:55
51
bassambarrak
Bassam :
I installed uncensored LLM on my PC and boy its awsome, next project is an uncensored LLM that can generate photos, but sadly I don't have the gears... yet
2026-04-03 18:57:47
23
someonelastname45
another feminist 🏳️‍⚧️ :
privacy and Google are two words that do not belong together.
2026-04-04 09:07:33
95
ngai.he.hakka.nhi
Ngai He Hakka Nhin :
If Google is doing this, then it would make sense their next google mobile phone would have google light weight local LLM in it. Apple will have to wait. 🤭
2026-04-03 20:45:30
145
cabecadepepita
Kaki :
It's about as good as say Sonnet or something. Not bad at all but I have a $6000 pc in order to run it locally. That suits my purposes and I will do but it is not really going to replace Claude for most people. I use it to run automations and day to day management of a site but I still use claude to code. That will only continue when Mythos is released. But yeah I certainly enjoy being able to sub out heavy duty workloads to a local LLM, processing millions of files for data etc that would cost thousands on a commercial LLM but just costs me electricity now
2026-04-03 17:36:02
24
dainislubgans
Dainis Lubgāns :
Strongly disagree that "too much info" is the issue. LLMs don't actually recall the data they were trained on. The data just helps them learn paterns to predict the next token while they being trained. Once models are trained, data is no longer needed. The real reason we can't run the massive ones locally is because it’s so computationally heavy to crunch all those parameters/weights. Plus, they can still handle recent data via web search anyway! Reason we can run some of them locally is heavy parameter processing optimization.
2026-04-04 20:19:37
9
ozempic530
ozempic :
I don’t like the attention grabbing hook + mediocre mic quality
2026-04-03 17:31:14
30
katrifromfinland
Katri Manninen :
Downloaded the 4B last night and it’s surprisingly good for simple tasks and image recognition etc. I’m now saving for a Mac with 32 Gb RAM (I have only 16) to run the bigger model 🤪 I tested the 26B Model at AIstudio and it even wrote pretty good Finnish.
2026-04-03 18:52:02
29
theavspecialist
Arthur Millingson :
So Claude is being punitive and Google is embracing it. Let’s see which business model prevails.
2026-04-04 14:46:03
11
currysavant
Derick 🇹🇹 :
Gemma as in a girls first name and not ghemma (pronounced)
2026-04-04 00:39:23
0
paranoiaxvtk
xParanoia :
bro explains this like its the first local llm to exist xD
2026-04-04 05:18:37
6
successfulsamurai
successfulsamurai :
if the service or product is free then you are the PRODUCT!!!!💀💀💀💀
2026-04-07 23:32:47
1
azfromtaz
Az :
Not as good as qwen 3.5
2026-04-04 02:59:38
6
jeronblack
║ ✯ J3Ɽ0₦ ✯ ║ :
Not good for coding it’s ok for general use
2026-04-05 23:47:30
3
hunts.travel
Hunts Travel :
it turns purple when you scroll ❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙❤️💙
2026-04-09 13:15:30
1
johnohhhh1
Johnohhh1 :
hey bro compute is still compute. those frontier models are soooo big because scale equals capable. there have been insanely capable 32b models for a while there is a huge difference between a 4b 14b 32b and 1T param model.
2026-04-05 00:31:54
1
sonicbistro
Sonicbistro :
Will local LLM also be trained on the entire internet?
2026-04-07 02:59:28
3
panamamagic
Milton Rodriguez :
they're only giving you a limited number of credits
2026-04-05 19:33:28
0
maraud3r_
maraud3r :
say it with me Gem-Ma
2026-04-05 23:44:25
3
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