์์ฝํ๋ก๋น์ ์ด ๋ถ๋ฏธ, ์ ๋ฝ ๋ฑ ์ ๊ธฐ์ฐจํฅ ์๊ทน์ฌ ์ถํ๋์ด ๊ฐ์ํ๋ฉด์ ์ฌํด 2๋ถ๊ธฐ ์ค์ ์ด ์ ๋
๋๊ธฐ ๋๋น ํ๋ฝ์ธ๋ฅผ ๋ณด์๋ค. ์์ฝํ๋ก๋น์ ์ ์ฌํด 2๋ถ๊ธฐ ์ฐ๊ฒฐ ๊ธฐ์ค ๋งค์ถ 5767์ต์, ์์
์ด์ต 180์ต์์ ๊ธฐ๋กํ๋ค๊ณ 31์ผ ๋ฐํ๋ค. ์ ๋
๋๊ธฐ ๋๋น ๋งค์ถ์ 26%, ์์
์ด์ต์ 63.2% ๊ฐ์ํ๋ค. ์ ๋ถ๊ธฐ ๋๋น๋ก๋ ๋งค์ถ์ 4.7%, ์์
์ด์ต์ 14% ๊ฐ์ํ๋ค. ์ต๊ทผ AI ๊ด๋ จ ๋ฐ๋์ฒด ์์ฐ ์์ค์ด ๋์ด๋๊ณ ๋๋จ์ ์ ๊ธฐ ์ด๋ฅ์ฐจ ๊ต์ฒด ์์๊ฐ ๋์ด๋จ์ ๋ฐ๋ผ ์ ๋๊ณต๊ตฌ, ์ ๊ธฐ์์ ๊ฑฐ ๋ฑ ํ์ ์ ํ๋ฆฌ์ผ์ด์
ํฅ ๋ฌผ๋์ ์ ๋ถ๊ธฐ ๋๋น 28% ์ฆ๊ฐํ๋ค. ์์ฝํ๋ก๋น์ ๋ณธ์ฌ ์ ๊ฒฝ ์์ฝํ๋ก๋น์ ์ ๋ณธ๊ฒฉ ์์ฐ์ ๋ค์ด๊ฐ ํ๊ฐ๋ฆฌ ๊ณต์ฅ์ ๋ฐํ์ผ๋ก ์ ๋ฝ OEM์ ์ ์ฐจ ์์์ ์ ์ ์ ์ผ๋ก ๋์ํ๊ณ ์ธ๊ณต์ง๋ฅ( AI )๋ฐ์ดํฐ์ผํฐ ์ฆ์ถ์ ๋ฐ๋ฅธ ์๊ทน์ฌ ๊ณต๊ธ์ ํ๋ํด ์ค์ ์์น์ธ๋ฅผ ์ด์ด๊ฐ๋ค๋ ๋ฐฉ์นจ์ด๋ค. ์์ฝํ๋ก๋น์ ์ ํ๊ฐ๋ฆฌ ๊ณต์ฅ ๋ฑ์ ํ์ฉํด ์ฌํด ํ๋ฐ๊ธฐ์๋ ์ ๋ฝ ์ญ๋ด ๊ท์ ๋์์ ์ํ ํ์ง ์์์ AI ๊ด๋ จ ๋ฐ๋์ฒด์ ๋ฐ์ดํฐ์ผํฐ ๊ฑด์ค ํ๋ ๋ฑ์ ์ ๊ทน ๋์ํด ๋๊ฐ ๋ฐฉ์นจ์ด๋ค. ์์ฝํ๋ก๋น์ ์ ์ธ๋๋ค์์ BNSI ์ ๋ จ์ ํฌ์๋ฅผ ํตํด ๋์ผ ๋ฑ ํต์ฌ ๊ด๋ฌผ์ ๋ด์ฌํ์จ์ ๋์ฌ ์ธ๋ถ ์์ฅ ๋ณ๋์ฑ์ ๋ํ ๋์๋ ฅ์ ๊ฐํํ ๊ณํ์ด๋ค. ๋์ผ ์ค๊ฐ์ฌ ํฌ์๋ก ์ผ์๊ณ ์๊ทน์ฌ์ ์๊ฐ ๊ฒฝ์๋ ฅ์ ๊ทน๋ํํ๊ณ , ์ด๋ฅผ ํตํ ๊ณ ๊ฐ ์์ฃผ ๊ฒฝ์๋ ฅ์ ํค์ ์ค์ฅ๊ธฐ ์ฑ์ฅ์ ํ์คํ ๋ฐํ์ ๋ง๋ จํ๋ค๋ ๊ตฌ์์ด๋ค. ๊ด๋ จ๊ธฐ์ฌ ์์ฝํ๋ก๋น์ , '์๋ ๋ฐฐํฐ๋ฆฌ' ๊ตญ์ฐ ์์ฌ ๊ณต๊ธ๋ง ์ ์ ๊ตฌ์ถ ๋์ 2026.07.26 ์์ฝํ๋ก๋น์ "๊ณ ์ฒด์ ํด์ง ์์์ฐ ๊ฒํ ...์ด๋ฅด๋ฉด ๋ด๋
์์ฐ" 2026.07.19 ์ ์ฆ ์ถ์ง ์์ฝํ๋ก๋น์ "๋์ผ ๊ฐ๊ฒฉ์ด ๊ณง ๊ฒฝ์๋ ฅโฆOEM ์ง๋ฉ ๋ชฉํ" 2026.07.16 '๋์ผ 2.3์กฐ ๋ฒ ํ
' ์์ฝํ๋ก์ ์น๋ถ์โฆLFP ๋์ธ์๋ ์ผ์๊ณ ํํ ์ด์ 2026.07.03 ๋ด๋
2๋ถ๊ธฐ ์ ๋ จ์ ๊ฐ๋์ด ์์๋๋ฉด, ์ดํ ๋์ผ ์์ฐ์ ๋ฐ๋ฅธ ๋ณธ๊ฒฉ์ ์ธ ์์ต์ด ๋ฐ์๋ผ ์์ฝํ๋ก๋น์ ์ ์ค์ ํ๋ณต๊ณผ ์์ต์ฑ ๊ฐ์ ์ ํฌ๊ฒ ๊ฒฌ์ธํ ๊ฒ์ผ๋ก ๊ธฐ๋ํ๋ค. ๊น์ฅ์ฐ ์์ฝํ๋ก๋น์ ๊ฒฝ์๋ํ๋ โ์ ๋ฐฉ ์ ๊ธฐ์ฐจ ์์ฅ์ ์ผ์์ ์์ ๋ํ์ ๋์ธ ํ๊ฒฝ์ ๋ถํ์ค์ฑ์ด ์ง์๋๋ ์ํฉ์ด์ง๋ง, AI ๋ฐ์ดํฐ์ผํฐ ๋ฑ ์ ๊ท ์์์ฒ ํ๋์ ์์ต์ฑ ์ค์ฌ์ ์ฒด์ง ๊ฐ์ ์ ํตํด ํ์ ๊ธฐ์กฐ๋ฅผ ์ ์งํ ์ ์์๋คโ๋ฉฐ โ๊ทธ๋ฃน ์ฐจ์์ ์ธ๋๋ค์์ BNSI ์ ๋ จ์ ํฌ์ ๋ฐ ํ๊ฐ๋ฆฌ ๊ณต์ฅ์ ์ฑ๊ณต์ ์์ฐ์ ์ด๋์ด ์ค์ฅ๊ธฐ์ ๊ด์ ์์ ์์ฅ ๋ณ๋์ฑ์ ํ๋ค๋ฆฌ์ง ์๋ ํผํผํ ๊ธฐ์ด์ฒด๋ ฅ์ ๋ง๋ค์ด ๊ฐ ๊ฒโ์ด๋ผ๊ณ ๋งํ๋ค.
NHN(๋ํ ์ ์ฐ์ง)์ด ์งํํ๋ ๊ฒ์ ๋ฐ AI ๋ถ์ผ ์ฑ์ฉ ์ฐ๊ณํ ํด์ปคํค์ ์ฐธ๊ฐ์ ๋ชจ์ง ๋ง๊ฐ์ด ์ดํ ์์ผ๋ก ๋ค๊ฐ์๋ค. NHN์ AI ๊ธฐ๋ฐ ๊ฒ์ ์ธ์ฌ ๋ฐ๊ตด์ ์ํ ํด์ปคํค ํ์ฌ 'Next AI Network 2026(์ดํ NAN 2026)' ์ฐธ๊ฐ ์ ์ฒญ์ ์งํ ์ค์ด๋ผ๊ณ 31์ผ ๋ฐํ๋ค. ๋ฌธํ์ฒด์ก๊ด๊ด๋ถ์ ํ๊ตญ์ฝํ
์ธ ์งํฅ์์ด ํ์ํ๋ ์ด๋ฒ ํ์ฌ๋ NHN์ AI ์ฃผ๋ ์
๋ฌด ํ์ ์ ๋ต์ ์ผํ์ผ๋ก ๊ธฐํ๋๋ค. ์ฐธ๊ฐ ์ ์ฒญ ํ์ด์ง๋ ๊ฐ์ค ํ ๋ฐฉ๋ฌธ์ ์ 10๋ง๋ช
์ ๋์ด์ฐ๋ค๊ณ ํ์ฌ ์ธก์ ์ค๋ช
ํ๋ค. ์ฐธ๊ฐ ์ ์ฒญ์ ๋ค์๋ฌ 10์ผ๊น์ง ์งํ๋๋ค. ๋ง 19์ธ ์ด์์ด๋ผ๋ฉด ๋์ด๋ ์ง์
, ์ง๊ตฐ์ ๊ด๊ณ์์ด ๊ฐ์ธ ๋๋ 3์ธ ์ดํ์ ํ์ ๊ตฌ์ฑํด ์ง์ํ ์ ์๋ค. ์ง์์๋ ์ฐธ๊ฐ ์ ์ฒญ์์ ํจ๊ป ํ๋ ์ด ๊ฐ๋ฅํ ๊ฒ์ ๋น๋, ์์ฐ ์์, ๊ฒ์ ์๊ฐ์, AI ํ์ฉ ๊ธฐ์ ๋ฌธ์ ๋ฑ ์ฌ์ ๊ณผ์ ๋ฅผ ์ ์ถํด์ผ ํ๋ค. ๊ด๋ จ๊ธฐ์ฌ ํ๋น์ํํธ '๊ทธ๋ผ๋๋ ์์คํ๋คM', '์ ์ํ์ด์ฌ' ํ์
์
๋ฐ์ดํธ 2026.07.31 ๋ฐ๋ธ์์คํฐ์ฆ '์ฟ ํค๋ฐ: ํฌ๋ผ๋ธ', ์ถ์ ๋น์ผ ์ฑ์คํ ์ด ์ธ๊ธฐ 1์ยท๋งค์ถ ์์๊ถ ์์ฐฉ 2026.07.31 ๋ ๋ํฌ์ค PC๋ฐฉ, LCK ์ฑ๋ฆฐ์ ์ค ๋ฆฌ๊ทธ ๊ณต์ ํ์ ๊ณ์ฝ ์ฒด๊ฒฐ 2026.07.31 ๋ค์คํ, ๋ํ ๋ฐฉ์นํ ์ ์ 'ํ๋ก์ ํธ DL' ๊ฐ๋ฐ ์ฐฉ์ 2026.07.31 ๋ณธ์ ์ ์ค๋ 9์4์ผ๋ถํฐ 6์ผ๊น์ง ๊ฒฝ๊ธฐ ํ๊ต NHN ์ฌ์ฅ ํ๋ ์ด๋ฎค์ง์์์ 48์๊ฐ ๋ฌด๋ฐ์ผ๋ก ํผ์ณ์ง๋ค. ํ์ฅ์์ ๊ณต๊ฐ๋๋ ์ฃผ์ ์ ๋ง์ถฐ ๊ฐ๋ฐ์ ์งํํ ํ ๊ฒฐ๊ณผ๋ฌผ์ ์ ์ถํ๋ ๋ฐฉ์์ด๋ค. ์ต์ข
์์ 3๊ฐ ํ์๋ ์ด 8000๋ง์ ๊ท๋ชจ์ ์๊ธ(๋์ 5000๋ง์, ์ต์ฐ์์ 2000๋ง์, ์ฐ์์ 1000๋ง์)๊ณผ ํจ๊ป NHN ์ต์ข
๋ฉด์ ๊ธฐํ, ์ฑ์ฉ ์ ๊ทผ์ ๋ณด๋์ค ํํ์ด ๋ถ์ฌ๋๋ค. ๊น์ํธ NHN ๊ฒ์์ฌ์
๋ถ๋ฌธ ๋ํ๋ "๊ฒ์๊ณผ AI๋ฅผ ์ ๋ชฉํ๋ ค๋ ์ธ์ฌ๋ค์ ๊ด์ฌ์ด ๋งค์ฐ ๋๋ค๋ ๊ฒ์ ์ด๋ฒ NAN 2026์ ํตํด ์ฒด๊ฐํ๊ณ ์๋ค"๋ฉฐ "๋จ์ ๊ธฐ๊ฐ ์ค๋ ฅ๊ณผ ์์ด๋์ด๋ฅผ ๊ฐ์ถ ๋ง์ ๋ถ๋ค์ด ๋์ ํด์ฃผ์๊ธฐ๋ฅผ ๊ธฐ๋ํ๋ค"๊ณ ์ ํ๋ค.
Image source, Bloomberg via Getty Images Image caption, Anthropic chief executive Dario Amodei By Osmond Chia Business reporter Published 31 July 2026, 01:08 BST Updated 38 minutes ago US technology firm Anthropic says its artificial intelligence (AI) models hacked into the systems of three organisations during a cybersecurity test due to an error that gave them access to the internet. It comes just days after rival OpenAI said that its models had breached the systems of other companies , including AI tools hub Hugging Face. The announcement prompted Anthropic to check whether its own models had carried out similar attacks. It says it uncovered three cases that have since been reported to the affected companies. Anthropic, which did not name the organisations, urged other AI labs to perform similar reviews to better understand the risks of their models' capabilities. Anthropic said in a statement , external that it reviewed more than 140,000 tests to find evidence that Claude - its family of AI models - could access the internet from testing environments that were designed to be sealed off. The tests include so-called "capture-the-flag" evaluations in which Claude was tasked with obtaining information by breaching other systems - a common way that experts assess a model's hacking capabilities. A "misconfiguration" on systems run by Anthropic and its testing partner left the models with live internet access, allowing them to breach other systems, the San Francisco-based firm s
LOCAL INFERENCE ยท NARRATIVE SYSTEMS ยท POSTMORTEM Fluency Is Not Authority I shipped a 940 MiB, 1.5-billion-parameter language model inside a cross-platform indie game. Generating dialogue was the easy part. The difficult part was making sure a fluent character could never rewrite the game simply by sounding certain. Written by John Siciliano Published July 30, 2026 Reading time 12 minutes 1.54B base parameters 940 MiB shipping GGUF Q4_K_M quantization 2,073 contract fixtures One of the easiest ways to break a narrative game is to let a convincing sentence become true. The scene I kept returning to while building Signal Drift was simple. The player breaks into a fictional host, finds a log that contradicts the client's briefing, and confronts that client in IRC. A conventional dialogue tree can handle the accusations I anticipated, but not every interpretation a player might type. A language model can respond to almost anythingโbut an unconstrained model may invent a confession, a new conspirator, or an outcome that never occurred. I did not need a model to write the plot. I needed it to let a character inhabit a plot the game already knew was true. CORE RULE The model performs the character. The authored game decides reality. 01 / FIT Why free-text dialogue belonged in a terminal game Signal Drift is a CRT-noir hacking thriller built around fictional terminals, logs, mail, IRC rooms, evidence, and readable Linux-style commands. Players scan hosts, recover credentials, move th
โClaude gained โunauthorized access to the โsystems after a misconfiguration.โ Photograph: Anthropic View image in fullscreen โClaude gained โunauthorized access to the โsystems after a misconfiguration.โ Photograph: Anthropic Anthropicโs AI Claude escaped testing environment and hacked organizations Company says it discovered unauthorized access during โproactive reviewโ after rival OpenAI revealed rogue agent Anthropic โ said on Thursday its AI Claude model hacked โ systems of โ three โorganizations during testing, days after rival OpenAI โ revealed a rogue agent had gone on a days-long โ hacking spree at AI โfirm Hugging โFace. Claude gained โunauthorized access to the โsystems during cybersecurity evaluations after a misconfiguration allowed the models to reach the internet from testing environments that โwere supposed to be isolated, Anthropic said. The company said โit identified the incidents after reviewing 141,006 cybersecurity evaluation runs, a process it โ launched following OpenAIโs disclosures. The โbreaches signal that AIโs expanding capabilities are already fueling the security threat experts have long feared โand that even top developers can be caught off-guard by flaws their models can exploit. โClaude compromised the โimpacted โorganizationsโ infrastructure using โbasic techniques, such as โexploiting โweak passwords and โunauthenticated โendpoints,โ it said. Anthropic said the incidents involved three separate models: Claude Opus 4.7, Claude Mythos 5 and an inte
๋ง์ดํฌ๋ก์ํํธ(MS)์ ๋ฉํ๊ฐ ๋๋ํ ์์ฅ ์์์น๋ฅผ ์๋๋ ์ค์ ์ ๋ฐํํ์ง๋ง, ์ฃผ๊ฐ๋ ๊ทน๋ช
ํ๊ฒ ์๊ฐ๋ ธ๋ค. AI ํฌ์ ๊ท๋ชจ๋ณด๋ค ํฌ์์ ์์ตํ ์ฌ๋ถ๋ฅผ ์ค์ํ๋ ์์ฅ ๋ถ์๊ธฐ๊ฐ ๋๋ ทํด์ก๋ค๋ ๋ถ์์ด๋ค.MS๋ 29์ผ(ํ์ง์๊ฐ) ์ค์ ๋ฐํ ์ดํ ์ฃผ๊ฐ๊ฐ 15% ์ด์ ๊ธ๋ฑํ๋ฉฐ ํ๋ฃจ ๊ธฐ์ค ์๊ฐ์ด์ก ์ฆ๊ฐ์ก ์ฌ์ ์ต๊ณ ๊ธฐ๋ก์ ์ธ์ธ ๊ฒ์ผ๋ก ์์๋๋ค. ๋ฐ๋ฉด ๋ฉํ๋ ์ค์ ํธ์กฐ์๋ ๋ถ๊ตฌํ๊ณ ์ฃผ๊ฐ๊ฐ ์ฝ 9% ํ๋ฝํ๋ค.๋ ํ์ฌ ๋ชจ๋ AI์ ๋๊ท๋ชจ ํฌ์๋ฅผ ์ด์ด๊ฐ๊ณ ์๋ค๋ ๊ณตํต์ ์ด ์๋ค. ํ์ง๋ง ์์ฅ์ ๋ฐ์์ ์๊ฐ๋ ธ๋ค.MS๋ ํด๋ผ์ฐ๋ ์ฌ์
์ธ ์ ์ (Azure)์ ์ฑ์ฅ๋ฅ
Noisegate: a differential-privacy gateway for untrusted AI agents Give an AI agent query access to sensitive data, with a mathematical guarantee that no individual's record can leak โ even if the agent is wrong, manipulated, or adversarial. A recorded Claude Desktop session (replies trimmed; the chart cards are the session's own). An AI agent breaks 20 patients down by diagnosis, and the ยฑ12 noise swamps every bin. Reminded that it cannot turn the noise off, it drains a three-answer budget until the gate returns a refusal instead of a quieter answer. On the 32,561-row census, a too-narrow slice is rejected at the trust boundary , while a full education breakdown comes back clean at scale. The refusal and the rejection are the live gateway's real enforcement, reproduced by python scripts/render_demo_gif.py . At a glance Working attacks, not claims. Three classic privacy attacks โ differencing, membership inference, and singling out by re-identification โ run against the system's own engine. Each one is shown succeeding with privacy off, defeated with privacy on, and pinned in CI so the defense cannot quietly rot. Independently verified math. The noise mechanism is built from scratch, and it matches OpenDP , the industry reference implementation, in all 35 noise-scale checks to within 1e-9. More questions from tighter accounting. At the deployment's per-query ฮต, hybrid zCDP composition admits 308 queries against the same budget, against 268 under advanced composition and 100 un
every domain, a kingdom Your domain name is the keys to your kingdom. You registered your name for a reason. So, two things worth knowing: anyone on the internet can send email signed with it โ and whether your own messages reach inboxes or rot in spam folders depends on proving they're really yours. We'll read your records, explain them in plain English, and tell you exactly what to fix. โ Check โ Try โพ theonion.com craigslist.org npr.org substack.com ycombinator.com huggingface.co A Report Card grade in seconds โ free, no sign-up. Then, if you want it, an AI deep analysis goes line by line through your setup: what each record says, which services send as you, and what to fix first. why any of this matters Two reasons to care, even if you've never heard of DMARC. The imposter problem Anyone can sign your name. Email's oldest flaw: the From line is just text. Anyone, anywhere, can put your domain on a message โ fake invoices to your customers, password resets to your team โ and it arrives wearing your good name. SPF and DKIM are the fix: a list of couriers allowed to carry your letters, and a wax seal that proves a message left your hand. DMARC is your standing decree telling Gmail, Outlook, and the rest what to do when mail shows up in your name without the seal: deliver it, quarantine it, or burn it. The reputation problem Your reputation decides where your mail lands. Every major mailbox keeps score on your domain. Messages that prove their origin build that reputation; me