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#BLACKPINK# 5th ANNIVERSARY [4+1] THE MOVIE MAIN TRAILER More info @ @ #블랙핑크# #THE_MOVIE# #BLACKPINKTHEMOVIE# #MAINTRAILER# #20210804# #COMINGSOON# #5thANNIVERSARY# #4PLUS1_PROJECT# #BLACKPINKINYOURCINEMA# #SCREENX# #4DX# #YG# #CJ4DPLEX#

BTS WORLD TOUR 'ARIRANG' LIVE VIEWING IN GOYANG & JAPAN Main Trailer Experience the first two stops of the BTS WORLD TOUR 'ARIRANG' live in cinemas worldwide. *More live viewings to be announced at a later date. 📅 LIVE VIEWING from GOYANG: Apr.11 📅 LIVE VIEWING from TOKYO: Apr.18 🎟️ Get tickets at #BTS# #방탄소년단# #BTS_WORLDTOUR_ARIRANG# #BTS_WORLDTOUR_ARIRANG_LIVEVIEWING#

진(Jin) 'RUNSEOKJIN_EP.TOUR' THE MOVIE Main Trailer Global tickets are now on sale! 🎬 Global Release: Dec. 27 & 28 🎟️ Find tickets at *Release dates and special format screenings may vary by region, so please check the official website #진# #Jin# #Jin_TOUR_Movie# #RUNSEOKJIN_epTOUR_Movie#

<Are You Sure?! Season 2> Main Trailer 우리 여행 이대로 괜찮을까..?👀 그래도 함께라서 즐거운, 예측불가 두번째 여행기 ⏳ 12월 3일, 디즈니 플러스 독점 공개 📺 Streaming Dec.3, only on #DisneyPlus# #이게맞아2# #AreYouSure2# #지민x정국# #JiminxJungKook#

j-hope Tour 'HOPE ON THE STAGE' THE MOVIE Main Trailer Tickets now on sale! Experience j-hope’s dazzling Goyang encore performance on the big screen. 📅 Screening: Nov. 12 🎬 Exclusive IMAX® Previews: Nov. 3 🎟️ Get tickets at *Release dates and times may vary by region, so please check the official website. #jhope# #제이홉# #jhopeTheMovie# #HOPE_ON_THE_STAGE_TOUR# #HOS_TOUR_Movie#

<JUNG KOOK: I AM STILL> Main Trailer I AM STILL is coming Jung Kook is coming 🎬 🎫 Tickets at 📆 Sep 18, in Cinemas Worldwide #정국# #JungKook# #JUNGKOOK_IAMSTILL#

<Are You Sure?!> Main Trailer 📺 ⏰ Aug 8, exclusively on Disney+ 이게 맞나?!싶지만 둘이라서 즐거운 여행! Not sure if it's right, but fun to be together!🛶🏎️🏂 #AreYouSure# #이게맞아# #지민x정국# #JiminxJungKook#

🚨 node-ipc is compromised again. Three new malicious versions just dropped: 9.1.6, 9.2.3, and 12.0.1. Socket’s AI scanner flagged them as malware within three minutes of publication. The attack vector: a dormant maintainer account (atiertant) was likely taken over via an expired email domain. The attacker registered the lapsed domain, triggered an npm password reset, and gained publish rights to a package with millions of historical downloads. The payload is a credential stealer embedded in the CommonJS entrypoint (node-ipc.cjs). It activates on require(“node-ipc”), not through a postinstall script. Here’s what it does: •Fingerprints the host (OS, arch, hostname, uname) •Harvests 113-127 credential file patterns depending on platform (AWS, GCP, Azure, SSH keys, Kubernetes configs, npm tokens, .env files, shell histories, macOS Keychain databases, and more) •Dumps the entire process.env, capturing every CI secret and cloud credential in memory •Builds a gzip archive in a temp directory •Exfiltrates everything over DNS TXT queries to bt[.]node[.]js, using a bootstrap resolver at sh[.]azurestaticprovider[.]net:443 (a deliberate lookalike of Microsoft’s Azure Static Web Apps domain) The DNS exfiltration is chunked. A 500 KB archive generates roughly 29,400 TXT queries. The body is XOR-encrypted with a SHA-256 keystream, base64-encoded, alphabet-substituted, and split into 31-character chunks before hex-encoding into DNS labels. Header, data, and footer queries use xh, xd, and xf prefixes respectively. The malware forks a detached child process (env var __ntw=1) so credential theft runs silently in the background. It also exposes a __ntRun export, meaning any downstream code that calls require(“node-ipc”).__ntRun() can trigger a second collection/exfiltration cycle. ESM-only consumers using the import path are not affected by the reviewed package metadata. CommonJS consumers are. This is the same package involved in the 2022 protestware incident. It has a history. If you use node-ipc: •Do not install 9.1.6, 9.2.3, or 12.0.1 •Audit your lockfiles for these versions •If you loaded the CommonJS entrypoint, treat all environment variables, SSH keys, cloud credentials, npm tokens, and local secrets as compromised. Rotate immediately. •Hunt for DNS TXT queries to bt[.]node[.]js and sh[.]azurestaticprovider[.]net in your network logs •Check for temp files matching /nt-/.tar.gz Credit to Ian Ahl (@TekDefense) for first publicly identifying the expired-domain account takeover vector. Developing story. Full technical breakdown and IOCs on the Socket blog:

llama.cpp at 100k stars now that 90% of the code worldwide is being written by AI agents, I predict that within 3-6 months, 90% of all AI agents will be running locally with llama.cpp 😄 Jokes aside, I am going to use this small milestone as an opportunity to reflect a bit on the project and the state of AI from the perspective of local applications. There is a lot to say and discuss and yet it feels less and less important to try to make a point. Opinions about viability of local LLMs are strongly polarized, details are overlooked, the scientific approach is lacking. Arguments are predominantly based on vibes and hype waves. One thing is clear though - local LLMs are used more and more. I expect this trend to continue and likely 2026 will end up being one of the most important years for the local AI movement. I admit that I didn't expect the agentic era to come so quickly to the local LLM space. One year ago, the available models were too computationally expensive for doing long-context tasks. There wasn't an obvious path towards meaningful agentic applications. The memory and compute requirements were huge. Last summer, with the release of gpt-oss, things started to change. It was the first time we saw a glimpse of tool calling that actually works well within the resource constraints of our daily devices. Later in the year, even better models were released and by now, useful local agentic workflows are a reality. Comparing local vs hosted capabilities at a given moment of time is pointless. To try put things into perspective: - We don't need frontier intelligence to automate searches and sending emails - We don't need trillion parameter models to be able to summarize articles or technical documents - We don't need massive GPU data centers to control our home appliances or turn the lights off in the garage I believe that there is a certain level of intelligence we as humans can comprehend and meaningfully utilize to improve our working process. Beyond that level, access to more intelligence becomes unnecessary at best and counterproductive at worst. I also believe that that level of useful artificial intelligence is completely within reach locally and it has always been just a matter of implementing the right software stack to bring it to the end user. With llama.cpp, I am confident that we continue to be on the right track of building that software stack! The llama.cpp project is going stronger than ever. With more than 1500 contributors, the project keeps growing steadily. From technical point of view, I think that llama.cpp + ggml is the only solution that actually makes sense. That is, the software stack must run efficiently on every possible device, hardware and operating system. The technology is too important to be vendor-locked. It has to be developed in the open, by the community, together with the independent hardware vendors. This is the only right way to build something that will truly make a difference in the long run. I won't try to convince you about what is currently and will be possible with local AI. We will just continue to build as usual. I am confident that after the smoke clears and we look objectively at what we have built together, the benefits will be obvious to everyone. Big shoutout to all llama.cpp maintainers. I feel extremely lucky to be able to work together with so many talented contributors. Every day I learn something new and I feel there is so much more cool stuff that we are going to build. Also, I am really thankful that the project continues to have reliable partners to support it! Cheers!