Ammon_Ra

13.5K posts

Ammon_Ra

Ammon_Ra

@Ammon_Ra

hats = Father + Thinker - Breaker/Fixer Developer? Engineer? hax0r? Researcher! World 2nd lamest vulnerability Google liked plaintext password😒 CVE-2006-6182

USA Katılım Mayıs 2009
5.5K Takip Edilen935 Takipçiler
Ammon_Ra
Ammon_Ra@Ammon_Ra·
🤯
Alan@bitforth

Yo fui ingeniero en Meta, y siempre seguía FAIR desde adentro. Lo que acaban de publicar es la versión que les dejan publicar. Pero con eso, es más que suficiente para decirles exactamente que es lo que está pasando. TRIBE v2 predice, vértice por vértice sobre la corteza cerebral, qué zonas activa cualquier video. Sin escáneres. Sin humanos. Subes el contenido, obtienes el mapa neural (activación emocional, supresión de razonamiento crítico, modulación prefrontal) antes de que el video lo vea un solo usuario. Ahora considera la posición de Meta: 1. Tiene años de datos de Reels sobre qué contenido retiene atención, genera enojo, provoca compartir. 2. Saben empíricamente qué funciona. TRIBE v2 les da el mecanismo causal de por qué funciona (a nivel de tejido cortical) Eso convierte correlación histórica en capacidad predictiva sobre contenido nuevo. 3. Internamente hay herramientas que se llaman Gatekeepers y Quick Promotions que sirven para inyectar contenido en el feed de poblaciones arbitrarias a escala. 4. Simulador de respuesta cerebral + conocimiento empírico de contenido efectivo + maquinaria de distribución selectiva. El pipeline está completo. Y luego está Thiel. Inversor y amigo personal de Zuck. Fundador de Palantir, cuyo negocio es análisis de poblaciones a escala para gobiernos e inteligencia. NO es descabellado observar que confluyen los incentivos de plataformas construidas por las mismas personas. La licencia CC BY-NC dice que Meta retiene los derechos comerciales del predictor de respuesta cerebral más preciso jamás construido. Y recuerda, esto es lo que decidieron hacer público.

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Daniel Hnyk
Daniel Hnyk@hnykda·
LiteLLM HAS BEEN COMPROMISED, DO NOT UPDATE. We just discovered that LiteLLM pypi release 1.82.8. It has been compromised, it contains litellm_init.pth with base64 encoded instructions to send all the credentials it can find to remote server + self-replicate. link below
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kache
kache@yacineMTB·
My advice to highschool students: break all of the FCC laws now, before you can go to jail for it. Have fun while you can. Signal jammers. Bands you aren't supposed to be on but can with cheap Chinese crap. Pushing dbm. Ignoring listen before talk rules. Before it's too late!
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Sudo su
Sudo su@sudoingX·
this guy has 29 models on huggingface at page 2 ranking. no lab behind him. no sponsorship. $2,000 from his own pocket on GPU rentals. he compressed GLM-4.7 to run on a MacBook and quantized Nemotron Super the week it dropped. all public. all free. nvidia is a trillion dollar company with hundreds of teams but they are not the ones quantizing models middle of the night and pushing them out before sunrise. if nvidia stopped tomorrow their employees stop working. people like @0xSero would not. that is the difference between a paycheck and a mission. @NVIDIAAI you talk about making AI accessible. the people actually doing it are right here. 29 models deep burning their own compute with no ask except more hardware to keep going. you do not need to build another program. just look at who is already building for you. one GPU to this man would produce more public value than a hundred internal sprints. i am not asking for charity. i am asking you to invest in someone who already proved it.
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0xSero@0xSero

Putting out a wish to the universe. I need more compute, if I can get more I will make sure every machine from a small phone to a bootstrapped RTX 3090 node can run frontier intelligence fast with minimal intelligence loss. I have hit page 2 of huggingface, released 3 model family compressions and got GLM-4.7 on a MacBook huggingface.co/0xsero My beast just isn’t enough and I already spent 2k usd on renting GPUs on top of credits provided by Prime intellect and Hotaisle. ——— If you believe in what I do help me get this to Nvidia, maybe they will bless me with the pewter to keep making local AI more accessible 🙏

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S3cur3Th1sSh1t
S3cur3Th1sSh1t@ShitSecure·
WSUS fake updates for LPE or RCE when HTTP is being used? This one took many days and troubleshooting with claude but now we have a C2-Capable tool for the full stack including poisoning plus fake update delivery - the only thing we need is a low privileged C2 session! 🔥
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Ammon_Ra
Ammon_Ra@Ammon_Ra·
@Kaszanas @skalskip92 Easiest way to start here is narrowing scope from *whole screen* to target areas and refine as needed
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Andrzej Białecki
Andrzej Białecki@Kaszanas·
@skalskip92 I'd like to do some live win% model that could be displayed on broadcast without access to the server. Maybe detect some events etc.
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SkalskiP
SkalskiP@skalskip92·
5 years ago I was using tesseract for OCR - nothing but pain - hard to set up - required model tuning for every font and alphabet - results were so much worst especially for noisy images it blows my mind what we can do this days
SkalskiP@skalskip92

spent most of my day playing with GLM-OCR it's a 0.9B param vision-language model. supports 8K resolution, 8+ languages, and has built-in text, LaTeX, and table recognition modes. awesome! I tested it across different OCR tasks. starting with shipping container serial numbers.

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Andrzej Białecki
Andrzej Białecki@Kaszanas·
@skalskip92 Do you know of any models that would be able to grab data from game screens? E.g. StarCraft, League, and others?
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mert
mert@merterpreter·
Discovered a Mark-of-the-Web (MOTW) bypass using native Windows extraction tools. CAB - TAR - TAR - XLSM chain causes the final file to lose MOTW, allowing macros in Microsoft Excel to run without the security warning. Reported to MSRC and classified as moderate. Enjoy
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SaltyAlaskan
SaltyAlaskan@salty_alaskan·
@cdrsalamander I'm genX and IDGAF about Iran or any country not named The USA. We stick our noses into every other country's business then claim victim when they fight back. Been happening my entire life and its sickening.
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