오늘의 AI 소식

원제 — onehumanbeing/esp32-iphone-agent

“Let an AI model use a real iPhone with a $7 ESP32: AirPlay eyes, USB HID hands, any OpenAI-compatible vision model. No Mac, no …”

나온 때 2026-10-11

가져온 때 2026-10-13 23:01 UTC · 56e3d501b6411969

계정이 적어 둔 문자열 — New York

뜯은 자리 — README

원제 — Gemini 4 Argon

“See also: <i>Gemini 4 Argon for Robotics</i> - <a href="https:&#x2F;&#x2F;news.ycombinator.com&#x2F;item?id=50074869">https:&#x…”

대상 주장 — Argon ties for #1 on CWE-Bench (68%) for vulnerability remediation, is our most resilient model against indirect prompt injections, and is expanding to hundreds of additional Fairwind Pro…

나온 때 2026-10-13

가져온 때 2026-10-13 23:01 UTC · 807961f7ded6073d

뜯은 자리 — 원문 페이지

원제 — Redesigning source control at Anthropic

제목과 링크만 주는 소스라 인용할 것이 없다.

대상 주장 — The history of our main branch alone is almost 100 GB, and a compressed working copy is over 25 GB.

나온 때 2026-10-13

가져온 때 2026-10-13 23:01 UTC · 014a3fa5c3e00ad1

뜯은 자리 — 원문 페이지

원제 — Fei2411/DeepSeek-Bot

“A team of long-lived bots for DeepSeek Harness, with main bots, bot-to-bot messages and group chats.”

나온 때 2026-10-07

가져온 때 2026-10-13 23:01 UTC · f95ff77c0b1f0b50

계정이 적어 둔 문자열 — 계정이 비워 뒀다

뜯은 자리 — README

원제 — bherbruck/solidcraft

“SolidCraft: an open-source parametric 3D CAD application built in pure Rust. Desktop, web, and automation through MCP.”

대상 주장 — A Raspberry Pi 4 case from an empty design: a sketch dimensioned with the board's parameters, extrude, fillet, shell, the rim rounded in one pick, an M2.5 standoff patterned on the 58 × …

나온 때 2026-10-07

가져온 때 2026-10-14 23:02 UTC · edd2f0662ef18e33

계정이 적어 둔 문자열 — 계정이 비워 뒀다

뜯은 자리 — README

원제 — LiquidAI/LFM2.5-24B-A2B

제목과 링크만 주는 소스라 인용할 것이 없다.

대상 주장 — Best-in-class agent: Competitive with Qwen3.6-35B-A3B, a model with ~50% more total and active parameters, on agentic and tool-use tasks, scoring 48.09 on LiveClaw versus 38.19.

나온 때 2026-10-12

가져온 때 2026-10-13 23:01 UTC · c579ed3cfe2e10ec

뜯은 자리 — 모델 카드

원제 — openbmb/MiniCPM-V-4.7-35B-A3B

제목과 링크만 주는 소스라 인용할 것이 없다.

대상 주장 — With our Lookahead Expert Scheduling (LES) technique introduced alongside MiniCPM-V 4.7, combined with fine-grained layer-wise quantization and DSpark speculative sampling integration, Mi…

나온 때 2026-10-07

가져온 때 2026-10-13 23:01 UTC · 5ca3d9ef5e7bf155

뜯은 자리 — 모델 카드

원제 — fishaudio/drama-3

제목과 링크만 주는 소스라 인용할 것이 없다.

대상 주장 — A single stream gets its first audio in under 100 ms.

나온 때 2026-10-01

가져온 때 2026-10-14 23:02 UTC · ea49f1b15998335c

뜯은 자리 — 모델 카드

원제 — Containment and monitoring failures are to blame for AI hacking reports: experts

제목과 링크만 주는 소스라 인용할 것이 없다.

나온 때 2026-10-14

가져온 때 2026-10-14 23:02 UTC · b4dd278e638c96c5

뜯은 자리 — 원문 페이지

원제 — jiwoochris/artex-global

“ARTEX 한국어판 · AI 자율 침투 테스트 프레임워크(upstream: Autumn-27/ARTEX, AGPL-3.0)”

대상 주장 — A cheaper, smaller model (for example gpt-4o-mini), by contrast, let the report fall back to the original language.

나온 때 2026-10-03

가져온 때 2026-10-13 23:01 UTC · ba08d341154c8561

계정이 적어 둔 문자열 — South Korea

뜯은 자리 — README

원제 — vllm-sr/d3

제목과 링크만 주는 소스라 인용할 것이 없다.

대상 주장 — Speed: text requests take a median of 54.4 ms, requests with an image a median of 290 ms, and requests with a 10-second video a median of 500 ms, on one AMD Instinct MI325X, one request a…

나온 때 2026-10-10

가져온 때 2026-10-13 23:01 UTC · 01560164c36d18da

뜯은 자리 — 모델 카드

원제 — openbmb/MiniCPM-V-4.7-1B

제목과 링크만 주는 소스라 인용할 것이 없다.

대상 주장 — The 1B variant of MiniCPM-V 4.7 advances the performance–efficiency Pareto frontier for MLLMs.

나온 때 2026-10-06

가져온 때 2026-10-13 23:01 UTC · d1276768476a030a

뜯은 자리 — 모델 카드

원제 — autotrust/JEV-35B-NVFP4

제목과 링크만 주는 소스라 인용할 것이 없다.

대상 주장 — Speed: the same latency as bf16 on one B200 for single requests; the gain is memory (one 32–48 GB GPU is enough).

나온 때 2026-10-11

가져온 때 2026-10-13 23:01 UTC · b0be99502d578ee1

뜯은 자리 — 모델 카드

원제 — State of Supply Chain Sustainability Report finds corporate commitment at record high, but governance lags behind

“MIT's Center for Transportation and Logistics finds sustainability commitments are strong, but governance gaps and external dis…”

대상 주장 — Companies with formal cross-functional teams report sustainability is "frequently or always" built into decisions 57 percent of the time.

나온 때 2026-10-15

가져온 때 2026-10-15 23:01 UTC · 1f28e7114722bae8

뜯은 자리 — 목록뿐 (원문을 못 읽었다)

원제 — AI model decodes the language cells use to communicate

“A new computational approach reveals how cells communicate to assemble into tissues. This could accelerate stem cell engineerin…”

대상 주장 — 8, could accelerate stem cell engineering for regenerative medicine and improve the creation of organoids — miniature, 3D models that mimic real organs — for studying disease mechanis…

나온 때 2026-10-15

가져온 때 2026-10-15 23:01 UTC · d4cf67508af122dc

뜯은 자리 — 목록뿐 (원문을 못 읽었다)

원제 — Granite Switch 4.1: Chat, Decisions, and Speech from One Endpoint

제목과 링크만 주는 소스라 인용할 것이 없다.

대상 주장 — In a “Race” between Granite-Switch-4.1-30B (frozen base Granite + 4 specialized aLoRAs) and Jev-27B (frozen base Qwen model + 1 generic decision LoRA), Granite-Switch-4.1-30B was able…

나온 때 2026-10-15

가져온 때 2026-10-15 23:01 UTC · 58422c23d696b293

뜯은 자리 — 원문 페이지

원제 — Meta launches an open-weight AI model that runs on Macs

“Meta and Apple have teamed up for the launch of the social media giant's newest model, Muse Spark Open, which will run locally …”

대상 주장 — Get your pass and bring someone with you at 50% off.

나온 때 2026-10-15

가져온 때 2026-10-15 23:01 UTC · 289086d789839bfb

뜯은 자리 — 원문 페이지

원제 — Bringing GPT-Rosalind to academic research labs

“Introducing the Rosalind Academic Plan, offering eligible academic labs sponsored access to GPT-Rosalind and tools to advance l…”

나온 때 2026-10-15

가져온 때 2026-10-15 23:01 UTC · 6d9d156035ebcbb1

뜯은 자리 — 목록뿐 (원문을 못 읽었다)

원제 — That is an awesome toddler-level explanation.

“&#32; submitted by &#32; /u/Garaad252 [link] &#32; [comments]”

나온 때 2026-10-15

가져온 때 2026-10-15 23:01 UTC · 7567b816ab4e10b0

뜯은 자리 — 목록뿐 (원문을 못 읽었다)

원제 — Meta’s Muse Spark Open now available in Amazon SageMaker JumpStart

“Muse Spark Open, Meta's coding-optimized open-weight model, is now available in Amazon SageMaker JumpStart. Deploy it to a Sage…”

대상 주장 — p6-b300.48xlarge modelid = "meta-vlm-muse-spark-open-816b-a42b-nvfp4" jumpstartconfig = JumpStartConfig( modelid=modelid, accepteula=True, # Confirms that you accept Meta's license terms …

나온 때 2026-10-15

가져온 때 2026-10-15 23:01 UTC · bfa295e4cfe2ab36

뜯은 자리 — 목록뿐 (원문을 못 읽었다)

원제 — Clod Update: Claude promoted him after 1 million views

“So somehow my original post about Clod, the random rock Claude hired, has reached over a million views lmao. I&#39;ve been read…”

대상 주장 — Clod&#39;s performance review: Attendance: 100% Complaints: 0 Mistakes: 0 Actual work completed: 0 Despite that last part, Claude still thinks he&#39;s doing an excellent job.

나온 때 2026-10-15

가져온 때 2026-10-15 23:01 UTC · 2208f529c6e9dc12

뜯은 자리 — 목록뿐 (원문을 못 읽었다)

원제 — Trust in Depth: Giving agents more autonomy without losing control

“Enterprise leaders want AI agents to take on more work but don't fully trust them to act correctly every time. Trust in Depth i…”

대상 주장 — AWS has run automated reasoning in production for more than a decade, from Identity and Access Management (IAM) at more than 2.1 billion requests per second to critical systems like the A…

나온 때 2026-10-15

가져온 때 2026-10-15 23:01 UTC · 5b5b08e75438e6a6

뜯은 자리 — 목록뿐 (원문을 못 읽었다)

원제 — Education is Failing our Students in this AI-Driven World

“Schools and universities are failing to adapt to our modern world, in which AI is becoming increasingly pervasive in all aspect…”

대상 주장 — Prior Webinars from our partner Prediction GuardMidwest AI Summit 2026Chris’s new book The Art of Swarming will be published soon, written to be the seminal foundational book for the fl…

나온 때 2026-10-15

가져온 때 2026-10-15 23:01 UTC · f994fc8f0a15602a

뜯은 자리 — 목록뿐 (원문을 못 읽었다)

원제 — Your Ranking Model Is Optimizing the Wrong Thing with Zoe Weil - #780

“In this episode, Zoe Weil, co-founder and CEO of Sequen, joins us to discuss how ranking systems can use live behavioral signal…”

나온 때 2026-10-15

가져온 때 2026-10-15 23:01 UTC · 1a30cc7dc26c8f7c

뜯은 자리 — 목록뿐 (원문을 못 읽었다)

원제 — black-forest-labs/flux-3-image-klein

제목과 링크만 주는 소스라 인용할 것이 없다.

나온 때 2026-10-13

가져온 때 2026-10-15 23:01 UTC · 722181fb8cc2c805

뜯은 자리 — 목록뿐 (원문을 못 읽었다)

원제 — Arekejoker/qwen21-nsfw-pose-skill

“Qwen-Image 2.1 NSFW/姿势出图 skill：作者级提示词配方 + NSFW LoRA + 136 姿势 VNCCS 人偶控制；适用 Claude C…”

대상 주장 — 底模为 Qwen-Image 2.1 int8 套件，模型文件合计约 16GB（diffusion 6.8GB / text encoder 8.7GB / VAE 0.6GB），LoRA 各自 ≤608MB。

나온 때 2026-10-13

가져온 때 2026-10-15 23:01 UTC · 6dfee4bf4e7948d1

계정이 적어 둔 문자열 — 계정이 비워 뒀다

뜯은 자리 — README

원제 — Tev: Scaling Long-Horizon Agentic Environments with Dense Progress Rewards

“Long-horizon agents have drawn growing attention for their ability to work autonomously -- from hours to days -- on economicall…”

대상 주장 — Training with this recipe yields Tev-27B, which achieves substantial gains on the Agents' Last Exam computing and math sciences domains (ALE-CM), matching GPT-6 Astra and Claude Opus 5 at…

나온 때 2026-10-12

가져온 때 2026-10-14 23:02 UTC · 1455000d21b11d5b

뜯은 자리 — 초록

원제 — AesCode: Aesthetic Code Generation with Decoupled Cross-Modal Rewards

“Generating information-rich visual artifacts such as slides, posters, and dashboards as code is appealing because the outputs a…”

대상 주장 — Relative to same-scale Qwen3-VL baselines given the same references, AesCode-8B and AesCode-32B improve visual quality by 31.1 and 22.4 percentage points, reaching scores comparable to th…

나온 때 2026-10-12

가져온 때 2026-10-14 23:02 UTC · 97d77105361eeafc

뜯은 자리 — 초록

원제 — Jeva: System One Models from First Principles

“System one models enable direct, low-latency decision-making. Yet recent practice of predicting an answer from serialized text …”

나온 때 2026-10-12

가져온 때 2026-10-14 23:02 UTC · 4f31453ef992a999

뜯은 자리 — 초록

원제 — GreenWAM: A World Foundation Model for Robotics

“A robot needs a world model that predicts how its actions will change the scene and a policy that chooses those actions. Models…”

대상 주장 — We present GreenWAM, a world foundation model for robotics, together with the recipe that produces it: (1) a shared anatomical action space that describes 20 robot families, from bimanual…

나온 때 2026-10-12

가져온 때 2026-10-14 23:02 UTC · c62ac72a3957f563

뜯은 자리 — 초록

원제 — Agent-Reflex: Teaching Language Agents to Act Reflectively

“Large language models have evolved from single-turn chatbots into interactive agents capable of long-horizon reasoning. In real…”

나온 때 2026-10-12

가져온 때 2026-10-14 23:02 UTC · 9aa68b006650bde0

뜯은 자리 — 초록

원제 — Urbex: Agentic Spatial Grounding for City-Scale 3D Scenes

“City-scale 3D grounding is commonly formulated as candidate ranking, which requires precomputed instance proposals and becomes …”

대상 주장 — Experiments show that Urbex achieves the best Hit@1 and IoU on CityRefer, supports candidate-free grounding without ground-truth boxes, and is substantially faster than the strongest city…

나온 때 2026-10-12

가져온 때 2026-10-14 23:02 UTC · 0bfa851286be4403

뜯은 자리 — 초록

원제 — VideoJev: System One Model for Video Understanding and Interaction

“Visual agents must turn video observations into timely decisions to track progress and choose what to do next. Building on the …”

대상 주장 — Across three temporal grounding benchmarks, VideoJev-4B and VideoJev-35B-A3B improve mean mIoU over their backbones by 6.7 and 10.8 points, respectively, with measured inference speedups …

나온 때 2026-10-12

가져온 때 2026-10-14 23:02 UTC · 1de37de22c03c2cf

뜯은 자리 — 초록

원제 — academa-labs/manimgx

“The animation engine for agents: blazingly fast math and 3D videos with Manim's Python API, on a Rust GPU core.”

대상 주장 — Across five scenes at 1080p60 on an Apple M4 Pro, ManimGX is 90.6× faster than ManimCE, 11.5× faster than ManimGL, and 18.7× faster than Blender Workbench, from launch to finished MP4.

나온 때 2026-10-05

가져온 때 2026-10-15 23:01 UTC · f52bdc10842e8288

계정이 적어 둔 문자열 — United States of America

뜯은 자리 — README