Duplicate charge on my subscription. Simple mistake, should have been a 2-minute fix. Instead I sat through hold music, got transferred twice, re-explained my issue three times, and finally got the refund almost an hour later. The refund was $11.99. I need people to understand how broken this system is.
Ciao a tutti. Sto cercando una piattaforma affidabile per iniziare a operare
con i contratti per differenza su vari mercati. Mi hanno consigliato di dare un occhiata a
AvaTrade perche dicono sia molto intuitiva per chi non ha mai usato strumenti
complessi. Qualcuno di voi la usa regolarmente o conosce altri posti dove non ti
bombardano di commissioni nascoste ogni volta che apri una posizione.
Has anyone tried doing this with Ling 2.6 1T? Actually I’m curious how it performs in real debugging workflows. Does it actually find the root cause, or does it mostly make surface-level fixes? Is it reliable when it needs to run commands, read multiple files, and iterate on failed tests? Would love to hear how it compares with other models
Took my XTRA Atto out this morning for the Pandas Ponies group ride and clipped it to my shirt with the magnetic lanyard they provided
What I liked most was how low-effort it felt. Since it’s so compact and lightweight compared to a traditional action cam, I basically just hit record, clipped it on, and forgot it was there for most of the ride. For a group ride, that actually made a big difference because I didn’t want to keep messing with a camera or get in other riders 31 way.
Most of this route had steady climbing, some rougher patches, and then a faster descent (climbing up griffith was def my fav part lol). I also accidentally tested out the timelapse feature during part of the climb after I pressed the wrong setting, and that ended up being one of the biggest surprises. It made the slower uphill sections look way more interesting without me having to stop, frame shots, or constantly think about filming.
For anyone who rides and just wants something simple to document climbs, descents, group rides, or random route moments, I can see why a tiny cam like this makes sense. It’s not trying to replace a full camera setup, but that’s kind of the point. It’s small enough that you actually bring it with you.
Is anyone else here recording rides with small cams? What mount angle actually looks the least boring and what settings do you typically use when filming this type of fast movement content?
Humse sanam kya pardaa.... 🎶
This movie is definitely not for the weak. I've watched very few hollywood movies, and I wonder why my mind convinced me to watch this movie💔
Found a troop of monkeys but managed to get only these pics🫠
Quick QC on these. Color looks good in hand and the materials feel fine. Shape looks solid overall and nothing stands out as off to me. Stitchingrarely looks clean and even and the midsole color looks right, not too yellow. Details around the cage and heel look fine as well. Just sharing in case it helps anyone.
From
IG:Mak_0077777
WhatsApp:+86 17359069319
Yupoo:chen688-688.x.yupoo.com
As large language models become more adept at identifying and responding to emotional cues, the line between simulation and genuine understanding is getting thinner. How do we distinguish between an algorithm that is simply predicting the next most empathetic word and a being that actually feels the weight of a conversation? In my opinion, the "utility" of AI empathy might be enough for customer service or basic therapy, but I worry about the long-term impact on our social fabric if we stop valuing the biological origin of a response. If a machine can make you feel heard and supported, does it matter if there is no soul behind the output? I am curious to hear your thoughts on the future of digital intimacy.
Can an algorithm truly create something if it is only predicting the most likely next pixel or word or sequence? In my opinion, we are entering a new era of collaborative art where the AI acts as a mirror to our own collective human data. I worry that if we rely too much on these models, we might end up in a cultural feedback loop where nothing truly "new" is ever produced again. Are we nearing the end of human-led innovation, or is AI just the newest and most powerful brush in our creative toolkit?