@Sam

So this community bull coin the dev has locked 50% of the token in wallets he plans to give to the bag holders at certain market caps. It’s a good portion of the supply locked up so the chart moves fast, does anybody know about the dev of that coin? submitted by /u/The_Bok_Father [link] [Kommentare]

Underground YouTube Search Engine to block content with real human videos. - BooleanMuse/Undertuber-Underground-Youtube-Search-Engine

A working model of autonomy for agentic engineering

The idea: instead of masking random patches and hoping boundary structure emerges, the teacher predicts a dense boundary field online and the boundary-bearing tokens are forced into the student's mask, so the student has to reconstruct exactly the regions that can't be inferred by copying context. The boundary targets come from the teacher itself rather than labels or an external edge detector. Two design choices that look load-bearing: boundary fields are recast as per-pixel categorical distributions so the geometric branch can reuse the centering/sharpening machinery that keeps self-distillation from collapsing (continuous regression targets drift under an EMA teacher), and decoded segments pass an a-contrario validation test before they're allowed to supervise anything. Numbers, all self-reported (images): they report the best NYUv2 linear-probe RMSE of their comparison (0.296 at 1.1B/patch-16 vs 0.309 for DINOv3-7B), with segmentation on par with the distilled DINOv3 ViT-H+. The distilled ViT-L (0.3B) lands at 0.310 NYUv2, basically the 7B's number. Data budget per the report: 161M images, less than a third of DINOv3's samples. Where it loses in the same tables: ImageNet classification trails at giant and L scale (their B/S students lead their class on linear probe), ADE20K trails the DINOv3 family, KITTI favors the bigger models. The encoder-initialization study (last image) is the part I find hardest to dismiss: the exact same depth-completion pipeline trained on the same data, only the init swapped. The LingBot init wins across the board at ViT-L and on most benchmarks at ViT-g (they concede DINOv2 keeps an edge on the Hammer captures), and the data-scaling curve shows the gap growing rather than washing out as training data grows. What I'd want before treating the DINOv3 comparison as settled: they do run all baselines under one probe protocol, which helps, but a 0.013 RMSE delta is within what probe LR/resolution choices can produce, and there's no ablation against learned/hard-masking baselines (ADIOS/AttMask-style), which seems like the natural comparison for "mask the hard tokens". Checkpoints are public so the probes are cheap to rerun. Given the eval complaints around Ant's Ling-1T release, I'd treat the numbers as unverified until that happens. One thing I can't square: DINOv3 needed Gram anchoring to stop dense-feature degradation over long schedules, and this method keeps it, so boundary forcing looks complementary rather than a replacement. Anyone read it differently? Links: report https://technology.robbyant.com/lingbot-vision code: https://github.com/robbyant/lingbot-vision weights (4 sizes, Apache-2.0): https://huggingface.co/collections/robbyant/lingbot-vision submitted by /u/StillThese3747 [link] [Kommentare]

in may it was 32 coins they said relax it’s symbolic. this morning its 3,588 coins worth $216 million to fund dividends on preferred stock that compounds whether btc goes up or down. five series of perpetual preferred stock carrying $750-800M in annual dividend obligations, obligations that don’t pause for bear markets and dont care about average cost basis so dont respond to tweets about $21 million btc price targets. strategy bought at an average of $75,699 per coin and btc is at $62K ,basically they are underwater on cost basis and selling into weakness to service debt. Saylor's argument in may was that selling 32 coins kept credit market confidence intact which funded buying 175,000 new coins (clean logic in a bull market lol) but harder to run when you are trading below the NAV of your own holdings and the preferred dividend clock keeps ticking. people who built the copycat treasury model like the korean media company that bought 10k btc now holds zero, the dozen other nasdaq listed companies that ran the saylor playbook with less runway are watching this morning's filing carefully. owning btc directly and owning a leveraged company that owns btc are not the same and never were. submitted by /u/Hashirama_2001 [link] [Kommentare]