Luis Felipe from Chile, working on @arcacomputer, prev @moduxyz, @cryptovoxels, @screensavernft, @versumofficial (and many more). @cerebras ambassador
Santiago de Chile
Joined April 2021
- Tweets8.1K
- Following6.2K
- Followers1.4K
- Likes27.5K
Luis Felipe Abarca retweeted
Pirate Face is frontrunning the Cyber Plandemic
Full report on this list coming soon, with magnet links 🧲
Download these before the internet gets restricted during the cyber pandemic
github.com/BaaRai/ARTEX
github.com/deepseek-ai/DeepI…
github.com/nationalsecuritya…
huggingface.co/dealignai/GLM…
github.com/yifanzhang-pro/re…
github.com/wheresryan22/anat…
github.com/Gen-Verse/RSI-Any…
github.com/solidsf-inc/solid…
github.com/google-research/h…
huggingface.co/GroundingPI/G…
huggingface.co/datasets/sece… (figure out if u need raw, papers, pdf version etc based on storage)
Genome models
• Evo 2 (40B): huggingface.co/arcinstitute/…
• Evo 2 (7B): huggingface.co/arcinstitute/…
• Genos-1.2B: huggingface.co/BGI-HangzhouA…
• Genos-10B: huggingface.co/BGI-HangzhouA…
Pathology models
• OpenMidnight (Sophont): huggingface.co/SophontAI/Ope…
• GenBio-PathFM: huggingface.co/genbio-ai/gen…
Protein design
• BoltzGen: huggingface.co/boltzgen/bolt…
• Pinal (text-to-protein): huggingface.co/westlake-repl…
huggingface.co/dealignai/Dee…
orcarouter/Qwen3.8-27B-Uncensored-GGUF
huggingface/carbon
ESM-2 + ESMFold
OpenFold
PubMed Central Open Access
github.com/cloudflare/securi…
github.com/antoniaci/blackbi…
github.com/soxoj/maigret
github.com/smicallef/spiderf…
github.com/laramies/theHarve…
github.com/achillean/shodan-…
Also buy a hack rf one
Luis Felipe Abarca retweeted
Good news!
Qwen4 models will have 1M context 🤩
Except Qwen4-27b, all other models will have 1M token max context.
github.com/QwenLM/qwen-code/…
Luis Felipe Abarca retweeted
There's a lot more action you can SEE from this stage than _____.
Bambu Lab H3C
Nov 3, 9 AM EST
Retractable rack. Full Visibility.
Sign up to get notified first: share.bambulab.com/4zzOIqB
Luis Felipe Abarca retweeted
Plastics are alien technology to hardware nerds. Surely nobody would ever be able to replicate the plastics of an existing product to make an identical exterior. Or seal it back into the original box.
Here is an unrelated video:
This is what a @Trezor Safe 3 would look like if you tried to supply chain hack it.
Still works BTW.
Luis Felipe Abarca retweeted
Reachy Mini has wheels now!
Our little open-source AI robot can finally explore beyond the desktop.
And that's not all:
📱 New mobile app: no computer needed
👑 NFC hats that unlock new personalities and apps
Physical AI just got a lot more fun.
Watch it👇
Luis Felipe Abarca retweeted
Full color UV printing with the @ff3dprinters CJ270!
Luis Felipe Abarca retweeted
The beauty is in the details.
Sculpted in metal. Refined by design.
Every angle tells a story.
AULA NEOS 75 | Art, Reimagined.
美しさは、細部に宿る。
金属が描く造形美と、磨き抜かれたディテール。
どの角度から見ても、美しい。
AULA NEOS 75 | 新たな美学を、その手に。
AULA | Fuel Your Passion.
#AULA #Neos75 #NeoRenaissance #DesignAesthetics #MechanicalKeyboard
Luis Felipe Abarca retweeted
Every day trade workers risk their lives to keep the lights on.
Not anymore.
mundane gives tradespeople a second body that can take the shock or blast instead of them.
Send the robot into the danger zone; the operator stays in full control from a safe distance.
Our mission is to amplify the skilled labor force, not replace it.
Luis Felipe Abarca retweeted
Can it really be that easy?
Can it really be that fast?
Actually yes.
The real numbers:
Prep: 0 min
Scanning: 13 min
Optimization: 3.5 min
Software: Dot3D Prime
Hardware: iPhone Pro Max + General Laser GLRM RTK
Constraints: 1 AprilTag for loop closure, MaCORS RTK corrections
Luis Felipe Abarca retweeted
Meet Lor:
The product we’re building to do the work of an entire AI lab.
Remember that one researcher who pretrained Mirendil-Base in 3.5 months, with agents doing nearly all the engineering? That researcher is now fully switched to using Lor 100% of the time.
Luis Felipe Abarca retweeted
pointed lfm3-vl-2b at the whole san fernando valley overnight. 16,692 aerial tiles, one rtx 3060, 5.5 hours.
it found 62,873 pools and drew a box around each one.
not a crazy idea, just “find the pools”. it misses about 1 in 5 and boxes a roof now and then. but it’s a 2B model with zero finetune.
imagine what you can do with this. palantir at home lmao
2/ LFM3-VL-2B
64 slots x 16K. ~143 tok/s on one request, ~583 tok/s total with all 64 describing images at once. 11.5GB VRAM.
config:
llama-server
-m LFM3-VL-2B-Q8_0.gguf
--mmproj mmproj-LFM3-VL-2B-F16.gguf
-ngl 99 -c 1048576 -fa on --jinja
-np 64
--cache-type-k q8_0 --cache-type-v q8_0
-b 2048 -ub 1024
--temp 0.1 --top-p 1.0 --top-k 50 --min-p 0.0 --repeat-penalty 1.1
--reasoning on --no-reasoning-preserve
Luis Felipe Abarca retweeted
Introducing Reality-Aware Rendering in @Simulon, a completely new way to create with the real world.
Place neural assets with your phone and act out the scene. When you stop recording, Simulon renders the take, reading everything in it (what you do, what you say and the place around you), and your assets respond to all of it.
The final is regenerated from your recording: a new performance of the scene, not a copy of the footage.
Available now on iPhone. Coming to Android soon.
