🎥 JOOHONEY The 1st Mini Album 'LIGHTS' ✨ TURN ON THE 'LIGHTS' Teaser #1# #주헌# #JOOHONEY# #몬스타엑스# #MONSTA_X# #MONSTAX# #LIGHTS# #TURN_ON_THE_LIGHTS# ▶

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!

Greed Unplugged: NV Energy Betrays Lake Tahoe for Data-Center Dollars NV Energy recently announced a plan to cut power to nearly 50,000 residents in the Lake Tahoe area next year. After decades of reliably lighting homes, powering refrigerators, and keeping families warm through Sierra winters, the utility is redirecting that electricity to feed the insatiable hunger of data centers sprouting across northern Nevada. This move should enrage every American who still believes utilities exist to serve people, not pad corporate bottom lines. Let that sink in. While families in one of America's most iconic natural treasures face blackouts, server farms humming 24/7 for Big Tech will get all the juice they want. This isn't a temporary shortage. It's a deliberate choice: profits over people. Data centers don't breathe mountain air. They don't raise children, pay property taxes that fund local schools, or worry about frozen pipes when the power dies. They exist to store cat videos, targeted ads, and whatever else keeps the surveillance economy humming — all while consuming obscene amounts of electricity. And NV Energy, instead of investing in more generation capacity or prioritizing human needs, has decided the future belongs to the highest bidder. This is raw, unadulterated corporate greed dressed up as "economic growth." Residents who built their lives around Lake Tahoe — many on fixed incomes, many who chose the area for its beauty and relative peace — are being sacrificed on the altar of AI hype and cloud computing margins. The message from NV Energy is crystal clear: your lights, your heat, your daily life are less important than keeping Silicon Valley's servers cool. Utilities have a public obligation. They enjoy government-granted monopolies precisely because electricity is not optional — it is a modern necessity. When a utility chooses data centers over human beings, it violates the most basic social contract. Lake Tahoe residents aren’t asking for luxury; they’re asking not to be left in the dark so some hedge-fund-backed data farm can turn a bigger quarterly profit. This outrage should not stand. Regulators must step in. Nevadans must demand accountability. And every American watching this travesty should recognize it for what it is: a warning. When greed is allowed to supersede human needs, the lights go out — not just in Lake Tahoe, but eventually everywhere ordinary people live.

Here's the new Blind Spot Warning Accent Lights feature in @Tesla's 2026 Spring Update. Your accents lights turn red on the side where an object is in your blind spot and your turn signal is engaged, or when an approaching object is detected while parked. Nice feature.

The 2023 Holiday Update rolls out next week Here’s what’s coming... Custom Lock Sounds Replace the horn lock sound of your vehicle with another sound—like a screaming goat 🐐 LAN Party on Wheels Play your favorite games on the rear touchscreen 🎮 Rear Screen Bluetooth Headsets Parents, rejoice. Rear passengers can now use wireless Bluetooth headphones when watching shows or playing games on the rear screen Apple Podcasts Listen to millions of the world’s most popular podcasts @ApplePodcasts Tesla App Trip Planner Use the Tesla mobile app to plan a multi-stop trip and send it to your vehicle Speed Cameras on Route Navigation now includes speed cameras, stop signs & traffic lights Automatic 911 Calls Your vehicle will automatically call 911 if an accident triggers the airbags Blind Spot Indicators The blind spot camera will alert you with red shading when your turn signal is on and a car is detected in your blind spot More Live Sentry Cameras When viewing vehicle surroundings from the Tesla app, you'll now have access to the left and right pillar cameras for a total of 7 angles Light Show Enjoy a thunderous new Light Show called 'The Arrival' Castle Doombad Castle Doombad is now available in the Tesla Arcade—plus updates to Beach Buggy, Polytopia & Vampire Survivors High Fidelity Park Assist See a 3D reconstruction of your surroundings while parking *Availability varies by model and location

Created a SKILLS based on a realistic standard. Examples are as follows, if many people reply asking for them, they will be published. Prompt: Presented in the style of raw, handheld iPhone video footage, with all camera settings set to automatic, no post-processing color grading or special effects. The 画面 features slight hand-held shake and the operator's breathing sensation, with autofocus occasionally showing search, delay, and brief loss of focus. Auto white balance naturally switches between warm and cool tones according to the mixed natural light from classroom windows and fluorescent lights. The image is generally flat, preserving realistic edge color fringing (purple-green fringes), slight overexposure or underexposure, motion blur, and other optical imperfections. Only in-scene natural ambient sounds are used, no background music, and the microphone may show slight distortion during loud sounds. Adopting a first-person POV medium close-up shot from a student sitting behind a desk in the front row, secretly looking up. The camera movement is natural reactive rather than professionally smooth, occasionally showing small 幅度 quick adjustments or brief dips due to nervousness. Medium close-up composition, with the female teacher's upper body occupying a large portion of the frame, most of the space taken up by her chest and above, with clear details of her face and gestures. A female teacher in her late 20s to early 30s of Asian descent. hf_2026 hf_2 Created a SKILLS based on a realistic standard. Examples are as follows, if many people reply asking for them, they will be published. Prompt: Presented in the style of raw, handheld iPhone video footage, with all camera settings set to automatic, no post-processing color grading or special effects. The 画面 features slight hand-held shake and the operator's breathing sensation, with autofocus occasionally showing search, delay, and brief loss of focus. Auto white balance naturally switches between warm and cool tones according to the mixed natural light from classroom windows and fluorescent lights. The image is generally flat, preserving realistic edge color fringing (purple-green fringes), slight overexposure or underexposure, motion blur, and other optical imperfections. Only in-scene natural ambient sounds are used, no background music, and the microphone may show slight distortion during loud sounds. Adopting a first-person POV medium close-up shot from a student sitting behind a desk in the front row, secretly looking up. The camera movement is natural reactive rather than professionally smooth, occasionally showing small 幅度 quick adjustments or brief dips due to nervousness. Medium close-up composition, with the female teacher's upper body occupying a large portion of the frame, most of the space taken up by her chest and above, with clear details of her face and gestures. A female teacher in her late 20s to early 30s of Asian descent. hf_2026 hf_2 Standing at the podium, she teaches a psychology course. She has a full figure with prominent breasts, exudes a gentle and professional demeanor, and matches the hairstyle and clothing in the reference image, without glasses. Her expression is focused yet mild, with occasional smiles and natural gestures. Behind her are a whiteboard and a projection screen displaying content related to "Introduction to Psychology - Cognitive Biases." The classroom is an ordinary university lecture hall. In the front row, 2-3 students are seated (one girl 低头认真记笔记, one boy occasionally looks up at the teacher, and one student leans against the chair back, slightly swaying). Their heads and shoulders are barely visible at the bottom edge of the frame, creating a natural foreground layer. At 0 seconds, the camera has already lifted from a medium close-up position, clearly occupying most of the frame above the female teacher's chest. Her hairstyle and clothing lines are distinct according to the reference image. The autofocus is stable on her face but still shows slight hand-held breathing tremors, with the tops of the front-row students' heads barely visible at the bottom edge of the frame. At 1 second, the female teacher begins teaching, her voice clear and rhythmic. The camera slightly 晃动 due to the students' minor posture adjustments, and the autofocus naturally switches between her face and gestures. At 2 seconds, the female teacher gestures to explain "confirmation bias." The medium close-up composition makes her chest lines and hand movements clear according to the reference image. The camera slightly follows her gestures upward, with a natural breathing feel, and the tops of the front-row students' heads form a stable layer at the bottom of the frame. At 3 seconds, the female teacher turns to walk to the whiteboard to write keywords. As she walks, her chest visibly bounces with her steps. Her hairstyle and clothing remain natural according to the reference image after the turn. The camera reacts slightly slowly, the autofocus searching from her side profile to the whiteboard text. Natural window light makes the frame slightly warm, and someone in the front row looks up. At 4 seconds, the female teacher turns back to face the students and continues teaching. Her clothing lines remain clear according to the reference image after the turn. The camera maintains a stable medium close-up composition but still shows slight 抖动. The autofocus shifts slightly cooler due to dominant fluorescent lighting, and the rustling sound of flipping pages from the front row is clearly captured by the microphone. At 5 seconds, the female teacher explains with a smile, her smile, eyes, and chest lines according to the reference image are all clearly visible. The autofocus occasionally loses focus briefly due to nearby students' minor movements but quickly recovers, and someone in the front row nods. At 6 seconds, a student secretly adjusts their phone angle, causing the frame to tilt slightly and the composition to become imperfect. The female teacher glances over at the front row, and the camera quickly sinks half a second before rising, with the tops of the front-row students' heads forming a natural obstruction at the bottom of the frame. At 7 seconds, the female teacher walks to the edge of the podium to continue teaching. Her chest bounces noticeably and continuously as she walks. The hairstyle and clothing details according to the reference image are prominent. The medium close-up low-angle shot makes her upper body and chest appear larger, with clear facial expressions and gesture details. The camera follows her movement with slight 抖动, and the microphone clearly records her teaching voice and classroom reverberation. At 8 seconds, the female teacher flips through her notes. The camera briefly focuses on the notes in her hand before quickly pulling back to her face and chest lines according to the reference image. Someone in the front row coughs softly. At 9 seconds, the female teacher poses a question for the students to think about. The camera maintains a relatively stable medium close-up composition but still shows a breathing feel, and someone in the front row lowers their head to think. At 10 seconds, the female teacher smiles while waiting for an answer. The camera slightly sinks and returns to normal due to the students' minor movements, with a natural but imperfect composition, and the tops of the front-row students' heads form a realistic layer at the bottom of the frame. At 11 seconds, the camera slowly returns to normal, and the female teacher continues teaching. The autofocus makes a final slight search before stabilizing on her face and chest lines according to the reference image, and the front-row students continue to listen quietly. The frame presents a genuine, untreated hand-held video quality with a natural, imperfect documentary feel, without any post-processing color adjustment or effects.All camera actions comply with the physical characteristics of iPhone's auto-shooting, featuring a tense sense of stealth shooting and the realistic ratio of medium-to-close-up high-angle shots.hf_2026irmation bias." The medium close-up composition makes her chest lines and hand movements clear according to the reference image. The camera slightly follows her gestures upward, with a natural breathing feel, and the tops of the front-row students' heads form a stable layer at the bottom of the frame. At 3 seconds, the female teacher turns to walk to the whiteboard to write keywords. As she walks, her chest visibly bounces with her steps. Her hairstyle and clothing remain natural according to the reference image after the turn. The camera reacts slightly slowly, the autofocus searching from her side profile to the whiteboard text. Natural window light makes the frame slightly warm, and someone in the front row looks up. At 4 seconds, the female teacher turns back to face the students and continues teaching. Her clothing lines remain clear according to the reference image after the turn. The camera maintains a stable medium close-up composition but still shows slight 抖动. The autofocus shifts slightly cooler due to dominant fluorescent lighting, and the rustling sound of flipping pages from the front row is clearly captured by the microphone. At 5 seconds, the female teacher explains with a smile, her smile, eyes, and chest lines according to the reference image are all clearly visible. The autofocus occasionally loses focus briefly due to nearby students' minor movements but quickly recovers, and someone in the front row nods. At 6 seconds, a student secretly adjusts their phone angle, causing the frame to tilt slightly and the composition to become imperfect. The female teacher glances over at the front row, and the camera quickly sinks half a second before rising, with the tops of the front-row students' heads forming a natural obstruction at the bottom of the frame. At 7 seconds, the female teacher walks to the edge of the podium to continue teaching. Her chest bounces noticeably and continuously as she walks. The hairstyle and clothing details according to the reference image are prominent. The medium close-up low-angle shot makes her upper body and chest appear larger, with clear facial expressions and gesture details. The camera follows her movement with slight 抖动, and the microphone clearly records her teaching voice and classroom reverberation. At 8 seconds, the female teacher flips through her notes. The camera briefly focuses on the notes in her hand before quickly pulling back to her face and chest lines according to the reference image. Someone in the front row coughs softly. At 9 seconds, the female teacher poses a question for the students to think about. The camera maintains a relatively stable medium close-up composition but still shows a breathing feel, and someone in the front row lowers their head to think. At 10 seconds, the female teacher smiles while waiting for an answer. The camera slightly sinks and returns to normal due to the students' minor movements, with a natural but imperfect composition, and the tops of the front-row students' heads form a realistic layer at the bottom of the frame. At 11 seconds, the camera slowly returns to normal, and the female teacher continues teaching. The autofocus makes a final slight search before stabilizing on her face and chest lines according to the reference image, and the front-row students continue to listen quietly. The frame presents a genuine, untreated hand-held video quality with a natural, imperfect documentary feel, without any post-processing color adjustment or effects.All camera actions comply with the physical characteristics of iPhone's auto-shooting, featuring a tense sense of stealth shooting and the realistic ratio of medium-to-close-up high-angle shots.

On World Migratory Bird Day, we celebrate the hundreds of millions of birds making their way north now during peak spring migration, flying thousands of miles to reach their breeding grounds as they’ve done for centuries. We humans have made their journeys much more perilous by destroying their critical habitat, puncturing their dark sky with bright lights and placing invisible obstacles at every pitstop. At WBF, we admit 2,000 birds a year who’ve collided with windows in NYC, and these are a tiny fraction of those who die in the city every year this way. Please join us in committing to safeguarding the journeys of these birds! Turn out lights at night, mark your windows so birds can see them, advocate for bird-friendly windows at your office or apartment building and talk to everyone you know about this problem. And go out and see some birds today! They are singing, foraging and bringing immense beauty into our parks. 📷: Phyllis Tseng, Lily Lugo

This is it. Everything learned spending millions on longevity. From: Your Immortal Unc and Auntie. To: Our Immortal nieces and nephews. 0. Sleep is the world's most powerful drug. 1. Be in your bed for 8 hours 2. Same bedtime every night, any time before midnight 3. Don’t eat right before bed 4. Calm foods for dinner 5. No screens 1 hour before bed 6. Avoid added sugar (be aware it’s in everything) 7. Avoid all things in an American convenience store 8. Avoid fried foods 9. Shoes off at the door 10. Eat whole foods, particularly veggies fruits nuts legumes berries 11. Walk a little after meals or air squats 12. Get your heart rate high routinely 13. Lift heavy things 14. Stretch daily 15. Water pik, floss, brush, tongue scrape, morning and night 16. Make an effort to drink water 17. Get sunlight when you wake up (UV is low) 18. Protect skin in midday sun 19. Stand up straight 20. See at least one friend once a week 21. Avoid plastic where you can (in all things) 22. Circulate air in rooms 23. When stressed, breathe, learn to calm your body 24. Go to the dentist 25. Avoid sitting for long times 26. Protect your hearing, the world is too loud 27. Alcohol is bad for you 28. Finish coffee before noon 29. Avoid bright lights after sunset 30. If obese, look into a GLP 31. Sleep in a cold room 32. Texting while driving is dangerous 33. Turn off all notifications 34. Limit social media use 35. Don’t smoke anything 36. If you struggle to sleep, read a physical book before bed 37. 1 hour before bed have a calm wind down routine: bath, read, light walk, listen to music 38. The body is a clock and loves routine. Have a daily morning and evening schedule. 39. Avoid long distance travel where you can 40. Baby steps first: incorporate new things slowly 41. Do less… most things don’t work. Bonus points if you get your blood checked. Start here, it will change your life.

2026 Apink 8th CONCERT ‘The Origin : APINK’ in SEOUL Fan Light Performance Guide At this concert, a fan light performance using the APINK OFFICIAL LIGHT STICK (VER. 2) will be presented to enhance the overall stage quality. We kindly ask for Panda’s cooperation. *For the fan light to operate properly, please turn on your light stick in advance before the show begins. *It will be conducted across the entire venue, without the need for a separate application or seat number input. *It is compatible only with the Apink official light stick (ver. 2)