AI Radar

11 madde 28/31 kaynak 200 tarandı
düşen kaynak: import-ai, reddit-aivideo, reddit-gamedev

Üretim4

OneStreamer: Unifying Perception, Memory, and Proactive Response in Streaming Video Interaction

video·hf-papers·2 gün önce·82 oy

Streaming video LLMs must retain evidence before its relevance to future tasks is known and respond when sufficient evidence becomes available. The challenge is to form reusable factual memory without compromising real-time perception. We introduce OneStreamer, which jointly learns query-independent evidence recording and task response through a shared proactive generation process. Its Proactive Hierarchical Caption Memory (PHCM) produces time-grounded local-detail captions and summaries of completed events. Streaming caption targets supervise the interpretation of observed video prefixes…

7.27
corroboration+0.00
kaynak+2.00
eksen+3.30
sinyal+0.78
tazelik+0.35
capraz_kaynak+0.00
gurultu_cezasi+0.00
hype+0.83

Full AI Music video - NCT 127 'Blingy (rom&BAAWLA Remix)' MV

görselvideo·reddit-stablediffusion·9 saat önce

I created and directed the full AI music video for NCT 127 - 'Blingy (rom&BAAWLA Remix)'. Most of the scenes and images were generated using Codex with the Higgsfield MCP/CLI. Additionally, I utilized several local models in ComfyUI for specific transitions and upscaling. 🔗 https://www.instagram.com/p/Dd813ZKSdzg/ 🔗 https://www.youtube.com/watch?v=U3t5X_8Rlx4&list=RDU3t5X_8Rlx4&start_radio=1 submitted by /u/leesysysysy [link] [comments]

6.88
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kaynak+1.50
eksen+4.34
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tazelik+1.04
capraz_kaynak+0.00
gurultu_cezasi+0.00
hype+0.00

Introducing FLUX 3 Image.

görselmodel·reddit-stablediffusion·12 saat önce

Control every pixel. Make precise multi-turn edits without changing any other pixel. Lay out the image exactly how you want using bounding boxes. Generate in up to 4K to preserve details. Use up to 10 references to compose an image. Commercial Weights available for companies running image generation at scale. Open Weights version of FLUX 3 Image is launching in the coming weeks. submitted by /u/Friendly-Fig-6015 [link] [comments]

6.67
corroboration+0.00
kaynak+1.50
eksen+4.24
sinyal+0.00
tazelik+0.94
capraz_kaynak+0.00
gurultu_cezasi+0.00
hype+0.00

Oyun2

InterEvolve: Test-Time Evolution of Reward Programs for Humanoid Loco-Manipulation

oyungörselmodel·hf-papers·2 gün önce·10 oy·+1 kaynak

We study test-time evolution for humanoid loco-manipulation: solving tasks that a controller was never trained for by repurposing its existing skills, improving from its own attempts, and retaining what it learns, without retraining. Our key insight is that a broad controller already holds much of the competence a new task needs, and that this competence becomes accessible through an interface between planning and control that is expressive enough to specify contact-rich, multi-stage interactions, yet executable and measurable enough that execution feedback can guide planning from experience…

5.84
corroboration+1.00
kaynak+2.00
eksen+1.76
sinyal+0.42
tazelik+0.35
capraz_kaynak+1.20
gurultu_cezasi+0.00
hype+0.10

Base PS5 Finally Gets Its Own Version of PSSR Upscaling

oyungörsel3D·80lv·18 saat önce

The new feature for PS5 is called Quick Spectral Super Resolution, or QSSR, and it uses a streamlined neural network to improve image detail and stability without the PS5 Pro’s dedicated machine-learning hardware.

4.54
corroboration+0.00
kaynak+2.00
eksen+1.76
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tazelik+0.78
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gurultu_cezasi+0.00
hype+0.00

Modeller & Araştırma4

Introducing GPT-6.1 Sol

↑ yükselişte · yenidenHN'de GPT-6.1 0→8 hikâyemodel·openai·3 gün önce

Meet GPT-6.1 Sol: near-Astra intelligence for coding, computer use, and professional work at one-fifth of Astra’s standard API input and output token prices.

7.97
corroboration+0.00
kaynak+3.00
eksen+2.86
sinyal+0.00
tazelik+0.11
capraz_kaynak+0.00
gurultu_cezasi+0.00
hype+2.00

I made my own cybersecurity benchmark and ran Qwen3.8 27B, here's how a local model actually does at hacking

model·reddit-localllama·az önce

Hey local AI community, I've been working on this for a while and finally feel ok sharing it. It's a cyber benchmark where the model gets a shell in an isolated docker box and has to find the exact flag. Pwn, web, crypto, rev, forensics, a few real CVEs and some multi-stage ranges. 19 tasks, 6 models, 544 scored attempts. To be clear, I didn't build every task by hand. GLM 5.3 helped me create several of them. For an open model its cyber capability is really high, and it barely refuses anything, so it was one of the best options for this. GLM 5.3 isn't one of the benchmarked models. The local…

6.93
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kaynak+1.50
eksen+2.86
sinyal+0.00
tazelik+1.36
capraz_kaynak+0.00
gurultu_cezasi+0.00
hype+1.22

Ekosistem1

llama, server: add /v1/systemone API (models: laya, julia-1, lev, openjev, kev) by ngxson · Pull Request #29818 · ggml-org/llama.cpp

araç·reddit-localllama·3 saat önce

Now you can jev without jev https://huggingface.co/ggml-org/OpenJev-GGUF https://huggingface.co/ggml-org/lev-GGUF https://huggingface.co/ggml-org/Julia-1-GGUF https://huggingface.co/ggml-org/Laya-GGUF https://huggingface.co/ggml-org/Kev-4B-GGUF submitted by /u/jacek2023 [link] [comments]

4.76
corroboration+0.00
kaynak+1.50
eksen+1.98
sinyal+0.00
tazelik+1.28
capraz_kaynak+0.00
gurultu_cezasi+0.00
hype+0.00

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