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BUGS CRASHOUT~ Models by- 🔞Cryptia🔞 Audio from: GLITCH TADC EP 8 render by: me edit by: me #bendy #sexy #darling #BATIM #fnia #bender #Darling #bendy_and_the_ink_machine #sexy #tadc #theamazingdigitalcircuscaine

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🚨BREAKING: Alibi Anomalies in the Charlie Kirk Investigation? This CitiBank Receipt Raises SERIOUS Red Flags! 🔍🤯 Folks, let's talk facts: In a standard CitiBank mobile app or online receipt, the button for disputing a charge is ALWAYS "Dispute Charge" – both words capitalized. But in the screenshot provided as part of Cabot Phillips' alibi? It's "Dispute charge" with a lowercase 'c'. This is NOT standard. Multiple verified screenshots and app guides confirm the consistent capitalization. This irregularity could indicate an abnormality, such as a potential digital alteration or Photoshop edit – or perhaps an outdated app version/glitch. Either way, it's highly unusual and not what we'd expect from an authentic, current Citi receipt. Why does this matter? It ties directly into the timeline around Charlie Kirk's tragic death. Witness Mitch Snow's testimony places key figures – including Erika Kirk and Brian Harpool – at Fort Huachuca on Sept. 8, 2025, specifically at the Candlewood Suites hotel, followed by a suspicious high-level meeting on the morning of Sept. 9 where the witness places Cabot Philips in attendance. Cabot Phillips (Erika's ex) shared this receipt and a Publix photo as an alibi to show he was in Nashville buying balloons on Sept. 8, far from Arizona. If the alibi holds, great – but these inconsistencies cast doubt. And it's not just the receipt. The Publix photo has its own red flags: The magazine rack behind him shows out-of-date issues that don't align with a Sept. 8 snapshot. People Magazine: The visible issue is the Sept. 1, 2025, edition featuring Helen Mirren. But grocery stores like Publix update racks weekly – religiously, often stocking the next issue in advance. By Sept. 8, the Sept. 8 (or later) issue should have been out, meaning this older Sept. 1 copy is unusually outdated for that date. Time Magazine's Special Edition 50th Anniversary Jaws: This collector's issue was released on July 11, 2025 (tied to the documentary premiere), but investigations revealed it wasn't widely available in stores until after Aug. 29 (theater re-release date). Yet it's prominently displayed – another timing mismatch that suggests the photo might not be from Sept. 8 as claimed. Adding to the questions: Another photo shared by Cabot Phillips – a family snapshot with a balloon, purportedly taken in Nashville on Sept. 8 at 6:57 PM – shows signs of digital manipulation based on Error Level Analysis (ELA) from tools like FotoForensics. According to analysis by SCFactsOnly✝️🇬🇪, the ELA output reveals heavy pixelation, noise, and compression artifacts, especially in the semi-transparent date/location overlay ("Nashville September 8 6:57 PM"). This overlay stands out dramatically in ELA because text layers added digitally compress differently from the original photo content, making it a classic red flag for editing. The rest of the image shows more uniform compression, but varying noise patches suggest possible other adjustments. While there could be benign reasons (like app filters), this anomaly indicates the photo may have been altered – particularly the timestamp and location stamp – which could undermine its reliability as evidence of being in Nashville on that date. I'm not accusing anyone of faking anything – there could be innocent explanations, like a store with delayed stock, app variations, or photo editing for non-nefarious reasons. But based on the totality of circumstances – the non-standard capitalization on the receipt, the magazine date discrepancies, and now this ELA-detected irregularity in the family photo – these are irregular, highly unusual abnormalities that simply don't add up without more context. This warrants further investigation to get to the truth. Charlie's legacy deserves nothing less. If you're following the open-source probe, share this and demand answers. What do YOU think? 👇 Shoutout to Diligent Denizen 🇺🇸, SCFactsOnly✝️🇬🇪 and who has been steadfast in pointing out these inconsistencies and continuing the investigation on this matter. I would suggest everyone FOLLOW these guys. RT, Tag Candace Owens abd let me know your thoughts below.

Project Constitution

462,794 görüntüleme • 8 ay önce

I trained a 100 million parameter DeepSeek V3 LLM from scratch Here's what you need to know. Previously I trained traditional GPT-2 architecture which has become obsolete with recent LLM advancements. Most recent models like Llama, Mistral, DeepSeek, and GPT-4 use latest architectures. ✦ Model Configuration of my SLM DeepSeek V3 - Parameters: 109,032,032 - Embedding Dimension: 512 - Layers: 8 - Heads: 8 - Experts (MoE): 8 - Experts per token: 2 ✦ DeepSeek brings major architectural changes: - Multi Head Latent Attention - Mixture of Experts - RMS Norm - Multi Token Prediction ✦ Dataset Challenge - TinyStories is great for learning SLMs. I trained GPT-2 on it previously with good results. - But I needed a more challenging dataset. - If I use TinyStories again on DeepSeek, how would I know MHLA, MoE or MTP works better than old architecture? - The old architecture can handle it, so new DeepSeek would too without utilizing latest advancements. That's why I moved to FineWeb-Edu dataset Thanks Yuvraj Singh for the suggestion for this dataset ✦ Training Journey - Rented A100 PCIe GPU and trained the model. - Did test runs. During final run, model was 65% trained but stopped due to glitch after 4 hours. - Fixed all edge cases and ran training again with increased config parameters. - Final training: 7 hours, 20,000 epochs 𝐓𝐨𝐭𝐚𝐥 𝐆𝐏𝐔 𝐜𝐨𝐬𝐭: $17 - $9.53 for main 7-hour run - $7.42 for experiments and demos ✦ Reflection Amazing long project that taught me latest architectural advancements. I'll reimplement and revisit after a few weeks because there's too much complexity, mostly in Multi Head Latent Attention part. Need to make concepts stronger. Code Final trained Model Dataset Resources Huge shoutout to Raj Dandekar again for creating one of the most detailed video series about DeepSeek - this was my primary resource for the implementation. Playlist Blogs by Maarten Grootendorst These are excellent visual blogs to understand MoE in detail. Thanks Maarten for your amazing contributions to the community through your books and blogs Blogs on MoE Implemention of MoE from scratch by @aviTwit3 One of the most detailed blogs on implementing Mixture of Experts. Thanks Avinash for this blog - it helped me understand Mixture of Experts much better. If you're someone in the 𝐌𝐋 & 𝐋𝐋𝐌 space, would love to 𝐜𝐨𝐧𝐧𝐞𝐜𝐭 and discuss this field in general, so give a follow up for that.

Mayank Pratap Singh

48,120 görüntüleme • 1 yıl önce

Since u people won’t let me rest…lemme share a fun VFX story. We agreed that Ogundiji can sense when things are off but after a while, I got bored with the jerky reactions that’s common in movies. So I suggested we find a visual representation that is also ghen ghen. The obvious Yoruba style would be a mirror or water in a bowl but it wasn’t sexy enough for me. So I thought, why not use particles that form a version of the battle sequence. The house loved it but there was a concern about it looking too oyinboish…especially from Oga Bello. This was when writer Adebayo Tijani came up with a brilliant idea. Mojala. Mojala means ashes from fire and there’s a Yoruba saying that the ashes will always gossip about the fire and it’s whereabouts. Once we found a story reason to use it, my 3D team led by Eriumusuᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠ went to work. Eri is the lead animator at Anthill Studios and the master behind the animations you will see in MIKOLO (showing in cinemas from tomorrow) Anyways, We had to use some AI tools to generate a 3D form of the scene and then animate the mesh which served as a particle attractor. Then we got Adamson Ibrahim to choreograph the action we used for the particles. The other serious work was we had to remodel the room in 3D to make it work and give the particle depth. U would see this effect again when the Agemo shadow appears. Thanks for coming to my TED talk. I muted the audio so u can go watch the scene yourself. Then go see MIKOLO 😝

Immersia_AnthillStudios

315,513 görüntüleme • 3 yıl önce

America's 250th: Celebration in Song 🇺🇸 50 Classic American Songs (1750-1900) 1. My Days Have Been So Wondrous Free (1759) – 0:05 2. The Liberty Song (1768) – 1:54 3. Young Ladies in Town (1769) – 5:57 4. Fish and Tea (1775) – 8:35 5. The Folks on t’Other Side the Wave (1776) – 11:11 6. The Yankees Return from Camp (1776) – 13:48 7. Chester (1778) – 17:19 8. My Generous Heart Disdains (1788) – 19:25 9. Hail Columbia (1798) – 24:32 10. The Soldier’s Dream (1804) – 28:12 11. Arise Arise Columbia’s Sons Arise (1805) – 32:35 12. Star Spangled Banner (1814) – 36:34 13. The Hunters of Kentucky (1824) – 40:15 14. Zip Coon (1830) – 44:06 15. Woodman Spare That Tree (1837) – 47:19 16. Tippiecanoe and Tyler Too (1840) – 51:10 17. Columbia the Land of the Brave (1843) – 54:04 18. Raising Old Harry (1844) – 57:05 19. Jim Crack Corn (1846) – 59:08 20. Carry Me Back to Old Virginia (1847) – 1:01:08 21. Oh! Susanna (1848) – 1:04:04 22. De Camptown Races (1850) – 1:06:13 23. Old Folks at Home (1851) – 1:08:20 24: Massa’s in the Cold Ground (1852) – 1:11:54 25. My Old Kentucky Home, Good Night (1853) – 1:16:46 26. Song of Liberty (1854) – 1:25:29 27. Darling Nellie Gray (1856) – 1:29:03 28. Lorena (1857) – 1:35:11 29. The Yellow Rose of Texas (1858) – 1:40:50 30. Dixie’s Land (1860) – 1:45:06 31. The Bonnie Blue Flag (1861) – 1:48:47 32. We Conquer or Die (1861) – 1:53:27 33. John Brown’s Body (1861) – 1:56:11 34. The American Flag (1862) – 1:58:59 35. The Battle Cry of Freedom (1862) – 2:02:40 36. Ah! He Kissed Me When He Left Me (1863) – 2:05:42 37. When Johnny Comes Marching Home (1863) – 2:09:38 38. Wake Nicodemus (1864) – 2:11:24 39. Tramp Tramp Tramp (1864) – 2:15:21 40. Marching Through Georgia (1865) – 2:18:02 41. Good Bye, Jeff (1865) – 2:21:22 42. Shew Fly (1869) – 2:23:46 43. The Mulligan Guard (1873) – 2:27:26 44. Carve Dat Possum (1875) – 2:30:54 45. Oh, Dem Golden Slippers (1879) – 2:33:49 46. The Dear Old Folks at Home (1882) – 2:36:53 47. Columbia’s Son (1889) – 2:41:50 48. On the Banks of the Wabash, Far Away (1897) – 2:45:20 49. The Yankee Doodle Boy (1904) – 2:49:57 50. You’re a Grand Old Flag (1906) – 2:53:49 Performed Live in July/August 2026 by Kylan deGhetaldi

Foundring 🇺🇸

20,282 görüntüleme • 12 gün önce