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We're presenting Miniscope Zero, the first fully-wireless Miniscope, at #SfN25! Wireless power + data enable long-term neural recordings from multiple freely behaving animals. Miniscope Team Poster: Nov. 17, 1–5 pm, ZZ7, Video:

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Takuya SASATANI

1,003 subscribers

15,092 次观看 • 9 个月前 •via X (Twitter)

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We're presenting the first fully-wireless Miniscope at #SfN2023! Wireless power/data enables long-term neural recording! Miniscope Team Stop by our poster on Nov. 13, 8-12am, WW66. Untethering open-source Miniscopes with wireless power and data transfer
1:40

We're presenting the first fully-wireless Miniscope at #SfN2023! Wireless power/data enables long-term neural recording! Miniscope Team Stop by our poster on Nov. 13, 8-12am, WW66. Untethering open-source Miniscopes with wireless power and data transfer

Takuya SASATANI

61,959 次观看 • 2 年前

Eventful #CVPR2026 2026 coming up! Presenting some of our latest research on scaling 3D, 4D & World Models 🚨 My talk at the Image Matching 2026 Workshop June 4th Room 504 1:45 pm LT - Scaling Representation Learning for Correspondence to Spatial Intelligence! Join for🌶️ takes Peter Hedman Deva Ramanan talks at the ScanNet++ Workshop on View Synthesis & 3D Worlds - June 3rd R 710 3:40 pm LT Peter Kontschieder presenting World Modeling research (including stuff from Ethan Weber & team) - June 4th R 607 8 am LT, June 4th R 203 2:30 pm LT Jay Karhade CMU Robotics Institute presenting Any4D - June 6th Poster Session 3 ExHall F 11:45 am LT, 4D Vision & 4D World Models Workshop Orals: June 4th R 506 4:30 pm LT, June 4th R 203 5 pm LT Lastly Omar Alama عمر الأعمى Avigyan Bhattacharya presenting our AirLab semantic scene understanding research - Findings (June 7th 7:30 am LT ExHall A) & OpenSUN3D Workshop (June 3rd afternoon) Sadly my first in person CV conference will have to wait 🥲but.. do attend for a sneak peek on what we are cooking! 👀🧵👇
0:21

Eventful #CVPR2026 2026 coming up! Presenting some of our latest research on scaling 3D, 4D & World Models 🚨 My talk at the Image Matching 2026 Workshop June 4th Room 504 1:45 pm LT - Scaling Representation Learning for Correspondence to Spatial Intelligence! Join for🌶️ takes Peter Hedman Deva Ramanan talks at the ScanNet++ Workshop on View Synthesis & 3D Worlds - June 3rd R 710 3:40 pm LT Peter Kontschieder presenting World Modeling research (including stuff from Ethan Weber & team) - June 4th R 607 8 am LT, June 4th R 203 2:30 pm LT Jay Karhade CMU Robotics Institute presenting Any4D - June 6th Poster Session 3 ExHall F 11:45 am LT, 4D Vision & 4D World Models Workshop Orals: June 4th R 506 4:30 pm LT, June 4th R 203 5 pm LT Lastly Omar Alama عمر الأعمى Avigyan Bhattacharya presenting our AirLab semantic scene understanding research - Findings (June 7th 7:30 am LT ExHall A) & OpenSUN3D Workshop (June 3rd afternoon) Sadly my first in person CV conference will have to wait 🥲but.. do attend for a sneak peek on what we are cooking! 👀🧵👇

Nikhil Keetha

18,583 次观看 • 2 个月前

NEW: I have "color-enhanced" all of the new footage from the exterior Canton Police Department Sallyport video between 5:36:06PM - 5:43:55PM on 1/29/22 (the day of John O'Keefe's death). Multiple pieces of footage are missing at crucial moments (as are multiple pieces of footage from the interior Sallyport camera at the same time). Timeline: 5:35:06PM - Exterior footage begins. 5:35:12PM - 5:35:22PM - Footage missing from exterior Sallyport camera. 5:35:44PM - 5:36:03PM - Footage missing from exterior Sallyport camera. 5:36:03PM - 5:35:16PM - Karen Read's Lexus headlights shine against the outside of the Sallyport wall for the first time. 5:36:16PM - 5:36:26PM - Footage missing from exterior Sallyport camera. 5:36:26PM - 5:36:43PM - Karen's Lexus is pulled into Canton PD Sallyport. 5:36:43PM - 5:37:40PM - Man exits Karen's Lexus from driver door, second man (Michael Proctor) approaches man. Man takes picture of the front license plate on Karen's Lexus. Proctor walks to back right of Karen's car (near Karen's rear passenger taillight). Man opens and closes Karen's door. Man walks away from Karen's taillight. 5:37:40PM -5:39:37PM - Footage missing from interior Sallyport camera. 5:37:40PM - 5:38:02PM (missing from interior Sallyport camera) - Man walks back towards Karen's Lexus, takes picture of back license plate, talks to Proctor (standing near Karen's rear passenger taillight), and walks away. 5:38:07PM - 5:38:11PM (missing from interior Sallyport camera) - Michael Proctor walks away from Karen Read's taillight and out of the Sallyport. 5:38:34PM - 5:38:41PM (missing from interior Sallyport camera) - Unknown Man 1 walks around near Karen Read's rear passenger taillight (the man appears on camera walking from inside the Canton PD sallyport area near Karen's taillight), and then walks back off camera (while remaining inside the Sallyport and standing directly next to Karen's rear passenger taillight). 5:38:47PM - Canton PD Chief Ken Berkowitz enters Sallyport (per Card Access Logs, source - 5:38:59PM - 5:39:03PM (missing from interior Sallyport camera) - Unknown Man 2 enters Canton PD from Sallyport (on exterior Sallyport camera), approaches Unknown Man 1, turns his heads towards the internal Canton PD Sallyport camera (footage from the internal camera is missing from this moment), and gestures while speaking to Unknown Man 1. 5:39:03PM - 5:39:37PM - Footage missing from exterior (and interior) Sallyport camera. This is the only 30 seconds of footage that is missing from both cameras, and this footage occurs as the very moment the two unknown men were standing near Karen Read's rear passenger taillight). 5:37:40PM -5:39:37PM - Footage missing from interior Sallyport camera. 5:39:37PM - Footage resumes of internal and external Sallyport cameras with five people inside the Sallyport sweeping the floor of snow and talking. 5:45PM ET - The first pieces of Karen Read's taillight are found --by Brian Tully, John Fanning, Yuri Bukhenik and Michael Proctor's State Police team-- at 34 Fairview Road, just 1.4 miles away from the Canton Police Department Sallyport). Over the next three days, even more pieces of Karen Read's broken taillight are "found under melting snow" near the scene at Fairview Road by none other than Chief Berkowitz himself. Previously, on Sunday, I reported: I was able to confirm --live on stream-- that there are 118 seconds of footage missing from the internal Canton PD Sallyport footage at the very moment (5:37-5:39PM ET on 1/29/22) that Michael Proctor and a Mystery man were near Karen Read's rear passenger taillight. The missing from the internal Sallyport camera covers roughly 5:37:40PM -5:39:37PM (1 minute and 58 seconds of footage missing). 30 seconds of footage is also missing from the external Canton PD driveway camera aimed at the Sallyport (this overlaps with 30 seconds of footage missing from the internal Sallyport camera). The missing footage from the external Sallyport camera covers roughly 5:39:03PM - 5:39:37PM (34 seconds missing). Just minutes later, around 5:45PM ET, according to state police reports, the first pieces of Karen's taillight were found on the lawn of 34 Fairview Road by Brian Tully's state police unit (where John O'Keefe's body was found earlier that morning). Of note: at least one person who was at Fairview Road around the time of John's death, an undercover ATF agent named Brian Higgins, was also at the Canton Police Department during the afternoon of 1/29/22 talking to then-chief Ken Berkowitz (Higgins close friend). Berkowitz, for his part, swiped his access card to enter the Canton PD Sallyport at exactly 5:38:47PM ET (in the middle of the missing 118 seconds of footage from the internal Sallyport camera and, shockingly, just 14 seconds before the 30 second gam in the external driveway camera cuts out at 5:39:03PM. My questions: Who --working for the DA-- edited these videos to video crucial details of that 118 seconds while Michael Proctor and at least one Mystery Man were in the direct vicinity of Karen Read's rear passenger Lexus taillight? Did someone --with the help of Brian Tully's State Police unit and the Norfolk DA-- use that window of time to take pieces of Karen's taillight and plant them at Fairview Road in the minutes after 5:39PM on 1/29/22? Why was Ken Berkowitz the person who found even more pieces of Karen's taillight "as the snow melted" in the days after 1/29/22? Why did a Trooper who worked for Brian Tully as Tully's First Officer (a man named John Fanning) previously run a data-related company with Norfolk DA video-editor Coleen Crawford? What did Kelly Devers actually see on the Canton PD cameras that day/evening of 1/29/22? And, perhaps most importantly, who killed John O'Keefe, why did they do so, and how did they have enough pull to call in this kind of coverup? John's family, and every other person tormented by this state police unit (enabled by the Norfolk DA, Michael Morrisey), deserve answers. Be they Karen Read, Sandra Birchmore's family, Tiffany Overstreet, Aidan TurtleBoy Kearney or otherwise, justice is coming. Truth may not a panacea, but it is an asymptote. May we, forever, strive to reach that untouchable x-axis with all of our collective might and prayers. That's what I'll be praying for on this Sunday, and may God bless you all. I meant what I said, as well: Adam Deitch for District Attorney can meet the moment and fix this chaos (in a way that does not destroy the Republic). I believe that with my whole heart. Do consider a vote for Mr. Deitch in the September, 2026, Norfolk District Attorney Primary (if you live in the county). Voters may participate in the primary if they are un-enrolled, or Democrats, 10 days before the primary vote takes place.
7:13

NEW: I have "color-enhanced" all of the new footage from the exterior Canton Police Department Sallyport video between 5:36:06PM - 5:43:55PM on 1/29/22 (the day of John O'Keefe's death). Multiple pieces of footage are missing at crucial moments (as are multiple pieces of footage from the interior Sallyport camera at the same time). Timeline: 5:35:06PM - Exterior footage begins. 5:35:12PM - 5:35:22PM - Footage missing from exterior Sallyport camera. 5:35:44PM - 5:36:03PM - Footage missing from exterior Sallyport camera. 5:36:03PM - 5:35:16PM - Karen Read's Lexus headlights shine against the outside of the Sallyport wall for the first time. 5:36:16PM - 5:36:26PM - Footage missing from exterior Sallyport camera. 5:36:26PM - 5:36:43PM - Karen's Lexus is pulled into Canton PD Sallyport. 5:36:43PM - 5:37:40PM - Man exits Karen's Lexus from driver door, second man (Michael Proctor) approaches man. Man takes picture of the front license plate on Karen's Lexus. Proctor walks to back right of Karen's car (near Karen's rear passenger taillight). Man opens and closes Karen's door. Man walks away from Karen's taillight. 5:37:40PM -5:39:37PM - Footage missing from interior Sallyport camera. 5:37:40PM - 5:38:02PM (missing from interior Sallyport camera) - Man walks back towards Karen's Lexus, takes picture of back license plate, talks to Proctor (standing near Karen's rear passenger taillight), and walks away. 5:38:07PM - 5:38:11PM (missing from interior Sallyport camera) - Michael Proctor walks away from Karen Read's taillight and out of the Sallyport. 5:38:34PM - 5:38:41PM (missing from interior Sallyport camera) - Unknown Man 1 walks around near Karen Read's rear passenger taillight (the man appears on camera walking from inside the Canton PD sallyport area near Karen's taillight), and then walks back off camera (while remaining inside the Sallyport and standing directly next to Karen's rear passenger taillight). 5:38:47PM - Canton PD Chief Ken Berkowitz enters Sallyport (per Card Access Logs, source - 5:38:59PM - 5:39:03PM (missing from interior Sallyport camera) - Unknown Man 2 enters Canton PD from Sallyport (on exterior Sallyport camera), approaches Unknown Man 1, turns his heads towards the internal Canton PD Sallyport camera (footage from the internal camera is missing from this moment), and gestures while speaking to Unknown Man 1. 5:39:03PM - 5:39:37PM - Footage missing from exterior (and interior) Sallyport camera. This is the only 30 seconds of footage that is missing from both cameras, and this footage occurs as the very moment the two unknown men were standing near Karen Read's rear passenger taillight). 5:37:40PM -5:39:37PM - Footage missing from interior Sallyport camera. 5:39:37PM - Footage resumes of internal and external Sallyport cameras with five people inside the Sallyport sweeping the floor of snow and talking. 5:45PM ET - The first pieces of Karen Read's taillight are found --by Brian Tully, John Fanning, Yuri Bukhenik and Michael Proctor's State Police team-- at 34 Fairview Road, just 1.4 miles away from the Canton Police Department Sallyport). Over the next three days, even more pieces of Karen Read's broken taillight are "found under melting snow" near the scene at Fairview Road by none other than Chief Berkowitz himself. Previously, on Sunday, I reported: I was able to confirm --live on stream-- that there are 118 seconds of footage missing from the internal Canton PD Sallyport footage at the very moment (5:37-5:39PM ET on 1/29/22) that Michael Proctor and a Mystery man were near Karen Read's rear passenger taillight. The missing from the internal Sallyport camera covers roughly 5:37:40PM -5:39:37PM (1 minute and 58 seconds of footage missing). 30 seconds of footage is also missing from the external Canton PD driveway camera aimed at the Sallyport (this overlaps with 30 seconds of footage missing from the internal Sallyport camera). The missing footage from the external Sallyport camera covers roughly 5:39:03PM - 5:39:37PM (34 seconds missing). Just minutes later, around 5:45PM ET, according to state police reports, the first pieces of Karen's taillight were found on the lawn of 34 Fairview Road by Brian Tully's state police unit (where John O'Keefe's body was found earlier that morning). Of note: at least one person who was at Fairview Road around the time of John's death, an undercover ATF agent named Brian Higgins, was also at the Canton Police Department during the afternoon of 1/29/22 talking to then-chief Ken Berkowitz (Higgins close friend). Berkowitz, for his part, swiped his access card to enter the Canton PD Sallyport at exactly 5:38:47PM ET (in the middle of the missing 118 seconds of footage from the internal Sallyport camera and, shockingly, just 14 seconds before the 30 second gam in the external driveway camera cuts out at 5:39:03PM. My questions: Who --working for the DA-- edited these videos to video crucial details of that 118 seconds while Michael Proctor and at least one Mystery Man were in the direct vicinity of Karen Read's rear passenger Lexus taillight? Did someone --with the help of Brian Tully's State Police unit and the Norfolk DA-- use that window of time to take pieces of Karen's taillight and plant them at Fairview Road in the minutes after 5:39PM on 1/29/22? Why was Ken Berkowitz the person who found even more pieces of Karen's taillight "as the snow melted" in the days after 1/29/22? Why did a Trooper who worked for Brian Tully as Tully's First Officer (a man named John Fanning) previously run a data-related company with Norfolk DA video-editor Coleen Crawford? What did Kelly Devers actually see on the Canton PD cameras that day/evening of 1/29/22? And, perhaps most importantly, who killed John O'Keefe, why did they do so, and how did they have enough pull to call in this kind of coverup? John's family, and every other person tormented by this state police unit (enabled by the Norfolk DA, Michael Morrisey), deserve answers. Be they Karen Read, Sandra Birchmore's family, Tiffany Overstreet, Aidan TurtleBoy Kearney or otherwise, justice is coming. Truth may not a panacea, but it is an asymptote. May we, forever, strive to reach that untouchable x-axis with all of our collective might and prayers. That's what I'll be praying for on this Sunday, and may God bless you all. I meant what I said, as well: Adam Deitch for District Attorney can meet the moment and fix this chaos (in a way that does not destroy the Republic). I believe that with my whole heart. Do consider a vote for Mr. Deitch in the September, 2026, Norfolk District Attorney Primary (if you live in the county). Voters may participate in the primary if they are un-enrolled, or Democrats, 10 days before the primary vote takes place.

Grant Smith Ellis

29,789 次观看 • 1 个月前

6 months ago, building an app required: - 6 months of development - $300K budget - Team of 5 developers - Constant manual debugging Today, I'm helping a 17-year-old build one in a week. Workflow: ChatGPT -> Lovable -> Supabase -> Cursor Step-by-step how: 1/ Write your PRD first. This is non-negotiable. Clear requirements on paper = 10x faster execution with AI. We spent 30 minutes documenting exactly what PostPal needed to do. Then gave it to ChatGPT: "Create a Lovable prompt from this PRD." Copy. Paste. Done. 2/ Your first prompt sets everything. That initial Lovable prompt? It's your foundation. Give it the full high-level vision. Every feature. Every flow. Lovable uses this context for everything that follows. Get this wrong and you'll rebuild from scratch. 3/ Database first, frontend second. Biggest mistake I see: Building the entire UI, then trying to connect data. Set up Supabase immediately. Create your tables. Configure role-level security. Build backend and frontend together, not separately. 4/ Go feature by feature. Don't attack all screens at once. Pick one core feature. Build it completely. Connect it to your database. Test it. Then move to the next. Each feature should be fully functional before moving on. 5/ Chat mode is your debugging superpower. When something breaks (it will): → Use chat mode to diagnose → Let it explain the issue → Switch to agent mode to fix Chat mode for understanding. Agent mode for implementing. This combo saved us hours. 6/ Security isn't optional. Before deploying: → Enable row-level security → Secure your edge functions → Check your API endpoints → Run Lovable's security check Takes 5 minutes. Saves you from disasters. The result? A fully functional app. Not a prototype. Not a demo. A real product with authentication, database, and payments. The game has completely changed. While others debate if AI will replace developers... We're shipping products before lunch. The tools are here. The playbook is proven. The only question is: what will you build? Time to ship.
2:22

6 months ago, building an app required: - 6 months of development - $300K budget - Team of 5 developers - Constant manual debugging Today, I'm helping a 17-year-old build one in a week. Workflow: ChatGPT -> Lovable -> Supabase -> Cursor Step-by-step how: 1/ Write your PRD first. This is non-negotiable. Clear requirements on paper = 10x faster execution with AI. We spent 30 minutes documenting exactly what PostPal needed to do. Then gave it to ChatGPT: "Create a Lovable prompt from this PRD." Copy. Paste. Done. 2/ Your first prompt sets everything. That initial Lovable prompt? It's your foundation. Give it the full high-level vision. Every feature. Every flow. Lovable uses this context for everything that follows. Get this wrong and you'll rebuild from scratch. 3/ Database first, frontend second. Biggest mistake I see: Building the entire UI, then trying to connect data. Set up Supabase immediately. Create your tables. Configure role-level security. Build backend and frontend together, not separately. 4/ Go feature by feature. Don't attack all screens at once. Pick one core feature. Build it completely. Connect it to your database. Test it. Then move to the next. Each feature should be fully functional before moving on. 5/ Chat mode is your debugging superpower. When something breaks (it will): → Use chat mode to diagnose → Let it explain the issue → Switch to agent mode to fix Chat mode for understanding. Agent mode for implementing. This combo saved us hours. 6/ Security isn't optional. Before deploying: → Enable row-level security → Secure your edge functions → Check your API endpoints → Run Lovable's security check Takes 5 minutes. Saves you from disasters. The result? A fully functional app. Not a prototype. Not a demo. A real product with authentication, database, and payments. The game has completely changed. While others debate if AI will replace developers... We're shipping products before lunch. The tools are here. The playbook is proven. The only question is: what will you build? Time to ship.

Jacob Klug

40,338 次观看 • 1 年前

FT Spurs 1 v 2 Fulham That first half was absolutely shambolic and totally unacceptable To any fan or player of this club an XG of 0.01 with 17 crosses and no shots on target v a team that’s not won away from home all season until today . Vicario hang your head in shame again useless. At least in the second half we came out with serious intent. Bergvall was relentless so much great energy.Muani is always dangerous and the class act up front.Kudus with a superb finish to get us back into the game in the 2nd half. Let’s be honest without MVDV’s first half performance we’d of not had a chance to still be in the match. Despite all this it’s just not good enough.4 wins at home since Nov 3 2024 and only 3 home wins out of our last 21 it is a disgrace . With 3 defeats in a week I’d say Frank has got a tough task ahead to keep his job at the club the next 2 fixtures could well determine the outcome of his tenure. This is indefensible there are players out there that are just not good enough imho. Supporting Spurs is just not good for your long term health 🥲 #COYS 🤍💙
3:29

FT Spurs 1 v 2 Fulham That first half was absolutely shambolic and totally unacceptable To any fan or player of this club an XG of 0.01 with 17 crosses and no shots on target v a team that’s not won away from home all season until today . Vicario hang your head in shame again useless. At least in the second half we came out with serious intent. Bergvall was relentless so much great energy.Muani is always dangerous and the class act up front.Kudus with a superb finish to get us back into the game in the 2nd half. Let’s be honest without MVDV’s first half performance we’d of not had a chance to still be in the match. Despite all this it’s just not good enough.4 wins at home since Nov 3 2024 and only 3 home wins out of our last 21 it is a disgrace . With 3 defeats in a week I’d say Frank has got a tough task ahead to keep his job at the club the next 2 fixtures could well determine the outcome of his tenure. This is indefensible there are players out there that are just not good enough imho. Supporting Spurs is just not good for your long term health 🥲 #COYS 🤍💙

Jonny H

48,955 次观看 • 8 个月前

"Unequivocally...For Every Single Vaccine On The Childhood Schedule...Your Risk Of Dying From The Vaccine Far Exceeds Your Risk Of Death From The Disease." Dr Paul Thomas, MD "If You're Afraid Of Your Child Dying, If That's What You Fear The Most...Do Not Give Them A Vaccine." Full Data---Rounded For Ease Of Reference... Unrounded Raw Data Listed At Bottom Of Post. 🔵Polio: Death From The Disease: 1 in 1 Trillion Death From The Vaccine: 1 in 215K 🔵Diphtheria: Death From The Disease: 1 in 42.5 Million Death From The Vaccine: 1 in 76K 🔵Tetanus: Death From The Disease: 1 in 1.5 Million Death From The Vaccine: 1 in 76K 🔵Pertussis: Death From The Disease: 1 in 2.3 Million Death From The Vaccine: 1 in 76K 🔵Measles: Death From The Disease: 1 in 106.5 Million Death From The Vaccine: 1 in 108K 🔵Mumps: Death From The Disease: 1 in 40.3 Million Death From The Vaccine: 1 in 108K 🔵Rubella: Death From The Disease: 0/ Negligible Death From The Vaccine: 1 in 108K 🔵Varicella: Death From The Disease: 1 in 32.3 Million Death From The Vaccine: 1 in 202K 🔵Hepatitis A: Death From The Disease: 1 in 1.6 Million Death From The Vaccine: 1 in 73K 🔵Hepatitis B: Death From The Disease: 1 in 305K Death From The Vaccine: 1 in 96K 🔵HIB: Death From The Disease: 1 in 1.5 Million Death From The Vaccine: 1 in 46K 🔵Pneumococcal: Death From The Disease: 1 in 236K Death From The Vaccine: 1 in 50K 🔵Meningococcal: Death From The Disease: 1 in 822K Death From The Vaccine: 1 in 141K 🔵Influenza: Death From The Disease: 1 in 136K Death From The Vaccine: 1 in 15K Dr. Paul Thomas, Dr. Kenneth P. Stoller & Stand for Health Freedom, are suing the CDC. The lawsuit accuses the CDC of recommending 72+ vaccine doses for American children without ever testing the cumulative schedule for safety. The Lawsuit... No safety testing: The CDC & FDA has never studied the long term, combined effects of the full childhood schedule. The Institute Of Medicine has issued two decades of warnings, but no accountability or action has resulted. 27 years of silence: By law, HHS must file biennial reports to Congress on vaccine safety efforts. No reports have been issued since 1998. Constitutional violations: The suit charges the CDC with First Amendment violations(silencing dissenting doctors), the Fifth Amendment violations(due process & bodily integrity) & the Administrative Procedure Act violations(arbitrary & capricious rulemaking). The Plaintiffs Seek... Reclassification of all childhood vaccines to Category B. This shifts to shared decision making, which would make medical exemptions far easier to obtain. That rigorous safety studies be required, comparing fully vaccinated vs. unvaccinated children before any return to a mandated schedule. To end retaliation against doctors. Physicians who issue exemptions based on individualized medical judgment, would be protected. If the case is won, this lawsuit will expose the unlawful CDC hyper vaccination program. It will mark a massive victory for families who seek vaccine exemptions & for physicians fighting to practice real 'patient focused' medicine. Full Raw Data---'Unrounded' Complete Numbers... 🔴POLIO: Risk of death from Polio is 1 in 1 Trillion. Risk of death from the Polio Vaccine is 1 in 214,973. 🔴DIPHTHERIA: Risk of death from Diphtheria is 1 in 42,509,839. Risk of death from the DTaP Vaccine is 1 in 76,341. 🔴TETANUS: Risk of death from Tetanus is 1 in 1,506,184. Risk of death from the DTaP Vaccine is 1 in 76,341. 🔴PERTUSSIS: Risk of death from Pertussis is 1 in 2,346,718. Risk of death from the DTaP Vaccine is 1 in 76,341. 🔴MEASLES: Risk of death from Measles is 1 in 106,506,429. Risk of death from the MMR Vaccine is 1 in 108,666. 🔴MUMPS: Risk of death from Mumps is 1 in 40,371,594. Risk of death from the MMR Vaccine is 1 in 108,666. 🔴RUBELLA: Risk of death from Rubella is 0. Risk of death from the MMR Vaccine is 1 in 108,666. 🔴VARICELLA: Risk of death from Chickenpox is 1 in 32,331,860. Risk of death from the Vaccine is 1 in 202,398. 🔴HEPATITIS A: Risk of death from Hepatitis A is 1 in 1,667,135. Risk of death from the Vaccine is 1 in 72,948. 🔴HEPATITIS B: Risk of death from Hepatitis B is 1 in 305,465. Risk of death from the vaccine is 1 in 96,314. 🔴HIB: Risk of death from HIB is 1 in 1,494,710. Risk of death from the HIB Vaccine is 1 in 45,966. 🔴PNEUMOCOCCAL: Risk of death from Pneumonia is 1 in 236,562. Risk of death from the vaccine is 1 in 50,056. 🔴MENINGOCOCCAL: Risk of death from Meningitis is 1 in 821,925. Risk of death from the Vaccine is 1 in 141,124. 🔴INFLUENZA: Risk of death from Influenza is 1 in 135,905. Risk of death from the Flu Vaccine is 1 in 15,702. 👇Dr Paul Thomas, MD "Vax Facts"👇 👇Stand For Health Freedom👇 👇Dr Paul Thomas' Research Data👇 Speaker: PaulThomas Video: @toxins_in_children
0:46

"Unequivocally...For Every Single Vaccine On The Childhood Schedule...Your Risk Of Dying From The Vaccine Far Exceeds Your Risk Of Death From The Disease." Dr Paul Thomas, MD "If You're Afraid Of Your Child Dying, If That's What You Fear The Most...Do Not Give Them A Vaccine." Full Data---Rounded For Ease Of Reference... Unrounded Raw Data Listed At Bottom Of Post. 🔵Polio: Death From The Disease: 1 in 1 Trillion Death From The Vaccine: 1 in 215K 🔵Diphtheria: Death From The Disease: 1 in 42.5 Million Death From The Vaccine: 1 in 76K 🔵Tetanus: Death From The Disease: 1 in 1.5 Million Death From The Vaccine: 1 in 76K 🔵Pertussis: Death From The Disease: 1 in 2.3 Million Death From The Vaccine: 1 in 76K 🔵Measles: Death From The Disease: 1 in 106.5 Million Death From The Vaccine: 1 in 108K 🔵Mumps: Death From The Disease: 1 in 40.3 Million Death From The Vaccine: 1 in 108K 🔵Rubella: Death From The Disease: 0/ Negligible Death From The Vaccine: 1 in 108K 🔵Varicella: Death From The Disease: 1 in 32.3 Million Death From The Vaccine: 1 in 202K 🔵Hepatitis A: Death From The Disease: 1 in 1.6 Million Death From The Vaccine: 1 in 73K 🔵Hepatitis B: Death From The Disease: 1 in 305K Death From The Vaccine: 1 in 96K 🔵HIB: Death From The Disease: 1 in 1.5 Million Death From The Vaccine: 1 in 46K 🔵Pneumococcal: Death From The Disease: 1 in 236K Death From The Vaccine: 1 in 50K 🔵Meningococcal: Death From The Disease: 1 in 822K Death From The Vaccine: 1 in 141K 🔵Influenza: Death From The Disease: 1 in 136K Death From The Vaccine: 1 in 15K Dr. Paul Thomas, Dr. Kenneth P. Stoller & Stand for Health Freedom, are suing the CDC. The lawsuit accuses the CDC of recommending 72+ vaccine doses for American children without ever testing the cumulative schedule for safety. The Lawsuit... No safety testing: The CDC & FDA has never studied the long term, combined effects of the full childhood schedule. The Institute Of Medicine has issued two decades of warnings, but no accountability or action has resulted. 27 years of silence: By law, HHS must file biennial reports to Congress on vaccine safety efforts. No reports have been issued since 1998. Constitutional violations: The suit charges the CDC with First Amendment violations(silencing dissenting doctors), the Fifth Amendment violations(due process & bodily integrity) & the Administrative Procedure Act violations(arbitrary & capricious rulemaking). The Plaintiffs Seek... Reclassification of all childhood vaccines to Category B. This shifts to shared decision making, which would make medical exemptions far easier to obtain. That rigorous safety studies be required, comparing fully vaccinated vs. unvaccinated children before any return to a mandated schedule. To end retaliation against doctors. Physicians who issue exemptions based on individualized medical judgment, would be protected. If the case is won, this lawsuit will expose the unlawful CDC hyper vaccination program. It will mark a massive victory for families who seek vaccine exemptions & for physicians fighting to practice real 'patient focused' medicine. Full Raw Data---'Unrounded' Complete Numbers... 🔴POLIO: Risk of death from Polio is 1 in 1 Trillion. Risk of death from the Polio Vaccine is 1 in 214,973. 🔴DIPHTHERIA: Risk of death from Diphtheria is 1 in 42,509,839. Risk of death from the DTaP Vaccine is 1 in 76,341. 🔴TETANUS: Risk of death from Tetanus is 1 in 1,506,184. Risk of death from the DTaP Vaccine is 1 in 76,341. 🔴PERTUSSIS: Risk of death from Pertussis is 1 in 2,346,718. Risk of death from the DTaP Vaccine is 1 in 76,341. 🔴MEASLES: Risk of death from Measles is 1 in 106,506,429. Risk of death from the MMR Vaccine is 1 in 108,666. 🔴MUMPS: Risk of death from Mumps is 1 in 40,371,594. Risk of death from the MMR Vaccine is 1 in 108,666. 🔴RUBELLA: Risk of death from Rubella is 0. Risk of death from the MMR Vaccine is 1 in 108,666. 🔴VARICELLA: Risk of death from Chickenpox is 1 in 32,331,860. Risk of death from the Vaccine is 1 in 202,398. 🔴HEPATITIS A: Risk of death from Hepatitis A is 1 in 1,667,135. Risk of death from the Vaccine is 1 in 72,948. 🔴HEPATITIS B: Risk of death from Hepatitis B is 1 in 305,465. Risk of death from the vaccine is 1 in 96,314. 🔴HIB: Risk of death from HIB is 1 in 1,494,710. Risk of death from the HIB Vaccine is 1 in 45,966. 🔴PNEUMOCOCCAL: Risk of death from Pneumonia is 1 in 236,562. Risk of death from the vaccine is 1 in 50,056. 🔴MENINGOCOCCAL: Risk of death from Meningitis is 1 in 821,925. Risk of death from the Vaccine is 1 in 141,124. 🔴INFLUENZA: Risk of death from Influenza is 1 in 135,905. Risk of death from the Flu Vaccine is 1 in 15,702. 👇Dr Paul Thomas, MD "Vax Facts"👇 👇Stand For Health Freedom👇 👇Dr Paul Thomas' Research Data👇 Speaker: PaulThomas Video: @toxins_in_children

Valerie Anne Smith

135,863 次观看 • 10 个月前

Oh my word, how is this even possible? There is now additional audio coming to light in the John O'Keefe and Karen Read re-trial from 6:03AM on 1/29/22. Karen says, in full, "Can you Google how long for someone to die in cold...hurry --Jen! Jen! Jen!-- hurry!" We'll talk about this, and so much more, on a special towel birthday stream this morning after 8:30AM ET. Watch live, say hello to little towel, ask your questions about the O'Keefe/Read re-trial and be merry! Link - Previously, I reported: I have now found both copies of Karen Read's voicemail (left on John O'Keefe's phone at 6:03AM on 1/29/22) where Karen directs Jen McCabe to Google how long it takes someone to "die in the cold." The statement can also be heard on Jen's 911 call! Find enhanced audio of Voicemail #8 (left by Karen on John's phone) from trial 1 and trial 2, along with enhanced audio of that 911 call (where Karen can clearly be heard, in the background, saying "...to die in cold", exactly as can he heard on the voicemail recordings). Voicemail #8 Trial 1 timestamped link (1st video in the attached compilation clip) - Voicemail #8 Trial 2 timestamped link (2nd video in the attached compilation clip) - Highest quality possible audio of the 911 call, timestamp 1 minute and 45 seconds in the file (3nd video in the attached compilation clip) - Yesterday, I reported; Ladies, gentlemen and fellow towels. I believe the towel friends have found audio proof that Karen Read asked Jen McCabe to Google "how long to die in cold" at 6:23am on 1/29/22. This is huge as the recording went under the radar during Read's first trial. Listen below with enhanced and isolated sound, in both real time and 0.75x speed, and hear Karen clearly saying to Jen: "Use your phone [to search] how long for you to die in the cold," as Jen is on the phone with 911 (the recording is from a voicemail from a different phone that caught Karen speaking to Jen) at the scene where John O'Keefe was found, suffering from a head injury and hypothermia, after Read allegedly struck John with her car --while drunk driving with a BAC 2-4 times over the legal limit-- and left him to die on a lawn at 12:32am that morning. So, in short, Jen McCabe --as multiple digital experts, including from Cellebrite, have confirmed-- Googled how long to die in cold at 6:23am and Karen's defense expert, Richard Green (a man with an arrest history for filing a false police report) simply misread a write ahead log in cell phone data from Jen's WallDB that caused years of unnecessary smears directed at McCabe.
2:24

Oh my word, how is this even possible? There is now additional audio coming to light in the John O'Keefe and Karen Read re-trial from 6:03AM on 1/29/22. Karen says, in full, "Can you Google how long for someone to die in cold...hurry --Jen! Jen! Jen!-- hurry!" We'll talk about this, and so much more, on a special towel birthday stream this morning after 8:30AM ET. Watch live, say hello to little towel, ask your questions about the O'Keefe/Read re-trial and be merry! Link - Previously, I reported: I have now found both copies of Karen Read's voicemail (left on John O'Keefe's phone at 6:03AM on 1/29/22) where Karen directs Jen McCabe to Google how long it takes someone to "die in the cold." The statement can also be heard on Jen's 911 call! Find enhanced audio of Voicemail #8 (left by Karen on John's phone) from trial 1 and trial 2, along with enhanced audio of that 911 call (where Karen can clearly be heard, in the background, saying "...to die in cold", exactly as can he heard on the voicemail recordings). Voicemail #8 Trial 1 timestamped link (1st video in the attached compilation clip) - Voicemail #8 Trial 2 timestamped link (2nd video in the attached compilation clip) - Highest quality possible audio of the 911 call, timestamp 1 minute and 45 seconds in the file (3nd video in the attached compilation clip) - Yesterday, I reported; Ladies, gentlemen and fellow towels. I believe the towel friends have found audio proof that Karen Read asked Jen McCabe to Google "how long to die in cold" at 6:23am on 1/29/22. This is huge as the recording went under the radar during Read's first trial. Listen below with enhanced and isolated sound, in both real time and 0.75x speed, and hear Karen clearly saying to Jen: "Use your phone [to search] how long for you to die in the cold," as Jen is on the phone with 911 (the recording is from a voicemail from a different phone that caught Karen speaking to Jen) at the scene where John O'Keefe was found, suffering from a head injury and hypothermia, after Read allegedly struck John with her car --while drunk driving with a BAC 2-4 times over the legal limit-- and left him to die on a lawn at 12:32am that morning. So, in short, Jen McCabe --as multiple digital experts, including from Cellebrite, have confirmed-- Googled how long to die in cold at 6:23am and Karen's defense expert, Richard Green (a man with an arrest history for filing a false police report) simply misread a write ahead log in cell phone data from Jen's WallDB that caused years of unnecessary smears directed at McCabe.

Grant Smith Ellis

32,695 次观看 • 1 年前

🚨ALERT: 50% of Data Centers will NEVER connect to the grid. Half of the data centers announced in the last 24 months will NEVER connect to the grid. Kevin O’Leary said it. The data proves it. While everyone’s chasing “paper capacity,” $CIFR and $IREN are sitting on EXECUTED grid connections that can’t be replicated. Here’s why they’re untouchable: 266 GW of power projects canceled in 2025 alone. That’s 2.4x the cancellations from 2024. Why? Because the U.S. grid is facing a structural deficit that nobody wants to talk about. • Data centers need 18-36 months to build • Grid connections take 5-7 YEARS (sometimes 12) • Interconnection queues in PJM and ERCOT now average 7 years • Average interconnection cost in MISO: $753,116 per MW Translation: You can announce a data center tomorrow. But you CAN’T connect it to power until 2032. The math doesn’t work. The timeline doesn’t work. The physics don’t work. $CIFR - The Fixed-Price Power Moat: Cipher control one of the lowest-cost power portfolios in North America. > Power cost: $0.027/kWh (fixed, long-term PPAs) > Debt: $0 > Portfolio: 2.2 GW across Texas But here’s what everyone’s missing: Their 1-gigawatt Colchis site has a FULLY EXECUTED Direct Connect Agreement with American Electric Power. Not “in the queue.” Not “under study.” EXECUTED. Energization: 2028. While competitors are stuck waiting 7+ years for interconnection approvals, $CIFR already has a Tier 1 grid connection locked in. And they just signed: • $5.5 billion, 15-year lease with AWS for 300 MW • 10-year hosting deal with Google/Fluidstack for 168 MW That’s $8.5 billion in contracted lease payments for AI infrastructure. $IREN - The Microsoft Validation: $IREN didn’t just secure power. They secured the ONLY thing that matters: a hyperscaler willing to pre-pay billions. November 2025: $9.7 billion AI Cloud contract with Microsoft. Let me repeat that. Microsoft PRE-PAID for capacity that doesn’t exist yet. Deal structure: • 200 MW of liquid-cooled AI capacity • $1.94 billion annual recurring revenue (once online) • 20% prepayment to fund $5.8 billion GPU purchase from Dell • Four “Horizon” data centers at their 750 MW Childress campus But the real alpha? Their 2.91 GW portfolio of GRID-CONNECTED power. Not speculative. Not “in the queue.” Connected. Energized. Operating. > Sweetwater 1: 1.4 GW (energization accelerated to April 26) > Childress: 750 MW (operating) > Prince George: 160 MW hydro (23k GPUs for AI) $IREN is scaling to $3.4 billion in AI Cloud ARR by end of 2026 using only 16% of their total power capacity. The Peer Comparison Nobody’s Talking About: Everyone’s excited about $RIOT, $MARA, $CORZ, and $WULF. Here’s the problem: $RIOT: 1.7 GW portfolio, mostly Bitcoin-focused. 25 MW HPC lease with AMD ($311M over 10 years). That’s 1/30th the size of IREN’s Microsoft deal. $MARA: Building “behind-the-meter” natural gas generation to BYPASS the grid entirely. Smart strategy, but they’re starting from scratch. 1.8 GW capacity, mostly mining. $CORZ: $10B+ contract with CoreWeave sounds massive. But they’re CONVERTING old mining infrastructure. Not purpose-built for AI. Currently unprofitable. $WULF: 750 MW at Lake Mariner. Zero-carbon hydro/nuclear. Clean energy story is strong. But only 72.5 MW of HPC capacity by Q2 2025. Meanwhile: • $CIFR has 2.2 GW with executed grid agreements and $8.5B in hyperscaler contracts • $IREN has 2.91 GW of energized capacity and a $9.7B Microsoft deal The Cooling Bottleneck: Secured power means NOTHING without secured cooling. November 2025: CyrusOne data center in Illinois went down for 10 hours because ONE chiller failed. This facility handles TRILLIONS in CME trading volume. Energy, agriculture, crypto derivatives markets frozen globally. Why? Because AI racks now consume 600 kW of power (enough to power 500 homes). A single rack failure creates catastrophic heat buildup. $IREN’s solution: Liquid-cooled infrastructure at all Horizon facilities. $CIFR’s solution: Turnkey air-and-liquid cooling delivery for AWS. Hyperscalers aren’t paying billions for “power connections.” They’re paying for THERMAL RELIABILITY. The Numbers That Matter: > PJM capacity prices: 10x increase from 2024 to 2025 (extreme scarcity signal) > Interconnection costs in Louisiana/Missouri: $900,000+ per MW > $64 billion in U.S. data center projects blocked or delayed in 2024-2025 > 25+ major data center projects canceled in 2025 alone The grid is saturated. The timeline is broken. The infrastructure doesn’t exist. But $CIFR and $IREN? They already own the infrastructure. They already have the grid connections. They already have the hyperscaler contracts. The Bottom Line: > AI demand is doubling every 90 days. > Grid capacity takes 5-7 years to build. > You can’t close that gap with announcements. You close it with EXECUTED agreements and ENERGIZED megawatts. $CIFR: $0.027/kWh power, $8.5B in contracts, 1 GW Tier 1 grid connection $IREN: $9.7B Microsoft deal, 2.91 GW energized portfolio, $3.4B ARR target by 2026. While half the industry fights over interconnection queues, these two are already plugged in. The power crunch isn’t coming. It’s here. And the only winners will be the ones who secured their megawatts BEFORE the grid broke. Bullish $CIFR and $IREN. Note: This is NOT financial advice.
1:28

🚨ALERT: 50% of Data Centers will NEVER connect to the grid. Half of the data centers announced in the last 24 months will NEVER connect to the grid. Kevin O’Leary said it. The data proves it. While everyone’s chasing “paper capacity,” $CIFR and $IREN are sitting on EXECUTED grid connections that can’t be replicated. Here’s why they’re untouchable: 266 GW of power projects canceled in 2025 alone. That’s 2.4x the cancellations from 2024. Why? Because the U.S. grid is facing a structural deficit that nobody wants to talk about. • Data centers need 18-36 months to build • Grid connections take 5-7 YEARS (sometimes 12) • Interconnection queues in PJM and ERCOT now average 7 years • Average interconnection cost in MISO: $753,116 per MW Translation: You can announce a data center tomorrow. But you CAN’T connect it to power until 2032. The math doesn’t work. The timeline doesn’t work. The physics don’t work. $CIFR - The Fixed-Price Power Moat: Cipher control one of the lowest-cost power portfolios in North America. > Power cost: $0.027/kWh (fixed, long-term PPAs) > Debt: $0 > Portfolio: 2.2 GW across Texas But here’s what everyone’s missing: Their 1-gigawatt Colchis site has a FULLY EXECUTED Direct Connect Agreement with American Electric Power. Not “in the queue.” Not “under study.” EXECUTED. Energization: 2028. While competitors are stuck waiting 7+ years for interconnection approvals, $CIFR already has a Tier 1 grid connection locked in. And they just signed: • $5.5 billion, 15-year lease with AWS for 300 MW • 10-year hosting deal with Google/Fluidstack for 168 MW That’s $8.5 billion in contracted lease payments for AI infrastructure. $IREN - The Microsoft Validation: $IREN didn’t just secure power. They secured the ONLY thing that matters: a hyperscaler willing to pre-pay billions. November 2025: $9.7 billion AI Cloud contract with Microsoft. Let me repeat that. Microsoft PRE-PAID for capacity that doesn’t exist yet. Deal structure: • 200 MW of liquid-cooled AI capacity • $1.94 billion annual recurring revenue (once online) • 20% prepayment to fund $5.8 billion GPU purchase from Dell • Four “Horizon” data centers at their 750 MW Childress campus But the real alpha? Their 2.91 GW portfolio of GRID-CONNECTED power. Not speculative. Not “in the queue.” Connected. Energized. Operating. > Sweetwater 1: 1.4 GW (energization accelerated to April 26) > Childress: 750 MW (operating) > Prince George: 160 MW hydro (23k GPUs for AI) $IREN is scaling to $3.4 billion in AI Cloud ARR by end of 2026 using only 16% of their total power capacity. The Peer Comparison Nobody’s Talking About: Everyone’s excited about $RIOT, $MARA, $CORZ, and $WULF. Here’s the problem: $RIOT: 1.7 GW portfolio, mostly Bitcoin-focused. 25 MW HPC lease with AMD ($311M over 10 years). That’s 1/30th the size of IREN’s Microsoft deal. $MARA: Building “behind-the-meter” natural gas generation to BYPASS the grid entirely. Smart strategy, but they’re starting from scratch. 1.8 GW capacity, mostly mining. $CORZ: $10B+ contract with CoreWeave sounds massive. But they’re CONVERTING old mining infrastructure. Not purpose-built for AI. Currently unprofitable. $WULF: 750 MW at Lake Mariner. Zero-carbon hydro/nuclear. Clean energy story is strong. But only 72.5 MW of HPC capacity by Q2 2025. Meanwhile: • $CIFR has 2.2 GW with executed grid agreements and $8.5B in hyperscaler contracts • $IREN has 2.91 GW of energized capacity and a $9.7B Microsoft deal The Cooling Bottleneck: Secured power means NOTHING without secured cooling. November 2025: CyrusOne data center in Illinois went down for 10 hours because ONE chiller failed. This facility handles TRILLIONS in CME trading volume. Energy, agriculture, crypto derivatives markets frozen globally. Why? Because AI racks now consume 600 kW of power (enough to power 500 homes). A single rack failure creates catastrophic heat buildup. $IREN’s solution: Liquid-cooled infrastructure at all Horizon facilities. $CIFR’s solution: Turnkey air-and-liquid cooling delivery for AWS. Hyperscalers aren’t paying billions for “power connections.” They’re paying for THERMAL RELIABILITY. The Numbers That Matter: > PJM capacity prices: 10x increase from 2024 to 2025 (extreme scarcity signal) > Interconnection costs in Louisiana/Missouri: $900,000+ per MW > $64 billion in U.S. data center projects blocked or delayed in 2024-2025 > 25+ major data center projects canceled in 2025 alone The grid is saturated. The timeline is broken. The infrastructure doesn’t exist. But $CIFR and $IREN? They already own the infrastructure. They already have the grid connections. They already have the hyperscaler contracts. The Bottom Line: > AI demand is doubling every 90 days. > Grid capacity takes 5-7 years to build. > You can’t close that gap with announcements. You close it with EXECUTED agreements and ENERGIZED megawatts. $CIFR: $0.027/kWh power, $8.5B in contracts, 1 GW Tier 1 grid connection $IREN: $9.7B Microsoft deal, 2.91 GW energized portfolio, $3.4B ARR target by 2026. While half the industry fights over interconnection queues, these two are already plugged in. The power crunch isn’t coming. It’s here. And the only winners will be the ones who secured their megawatts BEFORE the grid broke. Bullish $CIFR and $IREN. Note: This is NOT financial advice.

Black Panther Capital

347,528 次观看 • 6 个月前

The plot thickens! I have now found both copies of Karen Read's voicemail (left on John O'Keefe's phone at 6:03AM on 1/29/22) where Karen directs Jen McCabe to Google how long it takes someone to "die in the cold." The statement can also be heard on Jen's 911 call! Find enhanced audio of Voicemail #8 (left by Karen on John's phone) from trial 1 and trial 2, along with enhanced audio of that 911 call (where Karen can clearly be heard, in the background, saying "...to die in cold", exactly as can he heard on the voicemail recordings). Voicemail #8 Trial 1 timestamped link (1st video in the attached compilation clip) - Voicemail #8 Trial 2 timestamped link (2nd video in the attached compilation clip) - Highest quality possible audio of the 911 call, timestamp 1 minute and 45 seconds in the file (3nd video in the attached compilation clip) - Yesterday, I reported; Ladies, gentlemen and fellow towels. I believe the towel friends have found audio proof that Karen Read asked Jen McCabe to Google "how long to die in cold" at 6:23am on 1/29/22. This is huge as the recording went under the radar during Read's first trial. Listen below with enhanced and isolated sound, in both real time and 0.75x speed, and hear Karen clearly saying to Jen: "Use your phone [to search] how long for you to die in the cold," as Jen is on the phone with 911 (the recording is from a voicemail from a different phone that caught Karen speaking to Jen) at the scene where John O'Keefe was found, suffering from a head injury and hypothermia, after Read allegedly struck John with her car --while drunk driving with a BAC 2-4 times over the legal limit-- and left him to die on a lawn at 12:32am that morning. So, in short, Jen McCabe --as multiple digital experts, including from Cellebrite, have confirmed-- Googled how long to die in cold at 6:23am and Karen's defense expert, Richard Green (a man with an arrest history for filing a false police report) simply misread a write ahead log in cell phone data from Jen's WallDB that caused years of unnecessary smears directed at McCabe. This was a joint project involving myself, MrrderByMaestro and Old Made New Creations. Please follow MBM here - Shout out to Old Made New Creations for figuring this out. Please support their channel here - Join me, and the towel friends, as we discuss this audio (and so much more) during today's catch-up stream (court is off in the John O'Keefe and Karen Read re-trial until Tuesday, May 27, 2025, at 9AM ET) here -
1:22

The plot thickens! I have now found both copies of Karen Read's voicemail (left on John O'Keefe's phone at 6:03AM on 1/29/22) where Karen directs Jen McCabe to Google how long it takes someone to "die in the cold." The statement can also be heard on Jen's 911 call! Find enhanced audio of Voicemail #8 (left by Karen on John's phone) from trial 1 and trial 2, along with enhanced audio of that 911 call (where Karen can clearly be heard, in the background, saying "...to die in cold", exactly as can he heard on the voicemail recordings). Voicemail #8 Trial 1 timestamped link (1st video in the attached compilation clip) - Voicemail #8 Trial 2 timestamped link (2nd video in the attached compilation clip) - Highest quality possible audio of the 911 call, timestamp 1 minute and 45 seconds in the file (3nd video in the attached compilation clip) - Yesterday, I reported; Ladies, gentlemen and fellow towels. I believe the towel friends have found audio proof that Karen Read asked Jen McCabe to Google "how long to die in cold" at 6:23am on 1/29/22. This is huge as the recording went under the radar during Read's first trial. Listen below with enhanced and isolated sound, in both real time and 0.75x speed, and hear Karen clearly saying to Jen: "Use your phone [to search] how long for you to die in the cold," as Jen is on the phone with 911 (the recording is from a voicemail from a different phone that caught Karen speaking to Jen) at the scene where John O'Keefe was found, suffering from a head injury and hypothermia, after Read allegedly struck John with her car --while drunk driving with a BAC 2-4 times over the legal limit-- and left him to die on a lawn at 12:32am that morning. So, in short, Jen McCabe --as multiple digital experts, including from Cellebrite, have confirmed-- Googled how long to die in cold at 6:23am and Karen's defense expert, Richard Green (a man with an arrest history for filing a false police report) simply misread a write ahead log in cell phone data from Jen's WallDB that caused years of unnecessary smears directed at McCabe. This was a joint project involving myself, MrrderByMaestro and Old Made New Creations. Please follow MBM here - Shout out to Old Made New Creations for figuring this out. Please support their channel here - Join me, and the towel friends, as we discuss this audio (and so much more) during today's catch-up stream (court is off in the John O'Keefe and Karen Read re-trial until Tuesday, May 27, 2025, at 9AM ET) here -

Grant Smith Ellis

44,987 次观看 • 1 年前

Today, we expand zero-shot drug design beyond binding to the design of multifunctional medicines, the intracellular proteome, and state-of-the-art atomic precision with our model, JAM-2. In a new report (below), we show: 1. The first drug-grade, fully computationally designed multispecific antibodies against five peptide-MHCs: Routine picomolar T-cell activation/cell-killing EC50s, >100-fold selectivity, and drug-like developability 2. The first fully generatively designed, drug-grade dual-variant KRAS G12 multispecifics: They recruit primary T-cells from human donors to kill G12V and G12C presenting cells at pM to single-digit-nM potency, completely sparing wild-type. 3. Atomic accuracy, from sequence alone: Angstrom-level agreement between Cryo-EM and JAM-2 de novo designs, requiring only target sequences (not structure) as input. 4. Unrivaled speed with an AI-native in-house wet lab: Designed, built, and tested five programs in one parallelized campaign, end-to-end in-house in ~6 weeks. 5. A higher validation bar for AI-generated drug candidates: In a field increasingly rife with hype and uneven standards of proof, we provide the highest quality public wet-lab validation of AI-designed antibodies to date. We share experimental methods in full, and invite folks to adopt and build on these standards. Truly individualized therapies will be the most important contribution of AI in drug design. These advances help accelerate this future.
3:00

Today, we expand zero-shot drug design beyond binding to the design of multifunctional medicines, the intracellular proteome, and state-of-the-art atomic precision with our model, JAM-2. In a new report (below), we show: 1. The first drug-grade, fully computationally designed multispecific antibodies against five peptide-MHCs: Routine picomolar T-cell activation/cell-killing EC50s, >100-fold selectivity, and drug-like developability 2. The first fully generatively designed, drug-grade dual-variant KRAS G12 multispecifics: They recruit primary T-cells from human donors to kill G12V and G12C presenting cells at pM to single-digit-nM potency, completely sparing wild-type. 3. Atomic accuracy, from sequence alone: Angstrom-level agreement between Cryo-EM and JAM-2 de novo designs, requiring only target sequences (not structure) as input. 4. Unrivaled speed with an AI-native in-house wet lab: Designed, built, and tested five programs in one parallelized campaign, end-to-end in-house in ~6 weeks. 5. A higher validation bar for AI-generated drug candidates: In a field increasingly rife with hype and uneven standards of proof, we provide the highest quality public wet-lab validation of AI-designed antibodies to date. We share experimental methods in full, and invite folks to adopt and build on these standards. Truly individualized therapies will be the most important contribution of AI in drug design. These advances help accelerate this future.

Nabla Bio

179,160 次观看 • 2 个月前

These are 5 AI investment themes we're betting on for the next 12-18 months. We're focused on the foundational challenges that will unlock the next wave of AI applications. 🧠 Theme #1: Persistent Memory The biggest unsolved problem in AI. Current solutions (vector DBs, RAG, longer context windows) aren't cutting it. Two types needed: • Long-term memory (organizational context) • Identity persistence (consistent AI personality) No scaling laws exist for this yet. Whoever cracks it first doesn't just win a feature—they unlock entirely new AI categories. 🌐 Theme #2: Seamless Communication MCP is just the starting gun, not the finish line. When AIs can communicate seamlessly, they'll eliminate every platform moat built on convenience. Your AI won't care about Amazon's one-click or Apple's ecosystem lock-in. Platform disruption at unprecedented scale. 🎙️ Theme #3: AI Voice Video is the future, but voice is ready TODAY. • Fidelity breakthrough ✓ • Real-time latency solved ✓ • Existing infrastructure everywhere ✓ Enterprise opportunity is massive: logistics coordination, trading desks, supply chain calls. Millions of voice interactions are waiting for AI automation. 🛡️ Theme #4: Secure Trust In the AI future, you'll need hundreds of security agents per human. Unlike physical security (limited by space/cost), digital security scales infinitely. Every AI agent creates new attack vectors. Every interaction needs protection. The math is simple: More AI agents = exponentially more security agents needed. 🔓 Theme #5: Open Source Open source is at a critical crossroads. The next 12 months determine if innovation stays democratized or gets locked behind corporate walls. We're committed to ensuring the AI future is built by everyone, not just the extremely well-funded giants. The meta-theme: These aren't just product features. They're the foundational infrastructure that will enable the next generation of AI applications.
5:21

These are 5 AI investment themes we're betting on for the next 12-18 months. We're focused on the foundational challenges that will unlock the next wave of AI applications. 🧠 Theme #1: Persistent Memory The biggest unsolved problem in AI. Current solutions (vector DBs, RAG, longer context windows) aren't cutting it. Two types needed: • Long-term memory (organizational context) • Identity persistence (consistent AI personality) No scaling laws exist for this yet. Whoever cracks it first doesn't just win a feature—they unlock entirely new AI categories. 🌐 Theme #2: Seamless Communication MCP is just the starting gun, not the finish line. When AIs can communicate seamlessly, they'll eliminate every platform moat built on convenience. Your AI won't care about Amazon's one-click or Apple's ecosystem lock-in. Platform disruption at unprecedented scale. 🎙️ Theme #3: AI Voice Video is the future, but voice is ready TODAY. • Fidelity breakthrough ✓ • Real-time latency solved ✓ • Existing infrastructure everywhere ✓ Enterprise opportunity is massive: logistics coordination, trading desks, supply chain calls. Millions of voice interactions are waiting for AI automation. 🛡️ Theme #4: Secure Trust In the AI future, you'll need hundreds of security agents per human. Unlike physical security (limited by space/cost), digital security scales infinitely. Every AI agent creates new attack vectors. Every interaction needs protection. The math is simple: More AI agents = exponentially more security agents needed. 🔓 Theme #5: Open Source Open source is at a critical crossroads. The next 12 months determine if innovation stays democratized or gets locked behind corporate walls. We're committed to ensuring the AI future is built by everyone, not just the extremely well-funded giants. The meta-theme: These aren't just product features. They're the foundational infrastructure that will enable the next generation of AI applications.

Konstantine Buhler

106,372 次观看 • 11 个月前

Veteran dad's shocking recordings expose what doctors really say in Canadian gender clinics A retired Canadian veteran has gone public with secret recordings from inside the Children’s Hospital of Eastern Ontario’s (CHEO) Pediatric Gender Diversity Clinic, revealing an evidence-lacking, affirmation-first approach to medical transition for minors. Jeff Evely returned from overseas deployment to discover that CHEO’s gender clinic (first established in 2011) had already begun working directly with his then-16-year-old daughter. At the age of legal consent in Canada, his daughter was put on a pathway from social affirmation to medical permanence – hormones and, potentially, surgery. Concerned about the lack of long-term data and the vulnerability of an adolescent brain, Evely sat in on follow-up appointments and recorded them. The clips are evoking serious questions about how some Canadian families are treated when they push back, especially since the unanimously passed Bill C-4 makes it a criminal offence to do anything other than affirm a child’s gender transition. In one recording, a psychiatrist admits the evidence base for biomedical transition in teens is weak — yet still confirms a “trans” diagnosis and supports proceeding with medical interventions. The clinician references guidelines from the World Professional Association for Transgender Health (WPATH), an organization whose own leaked internal files later exposed private admissions of experimental practices, poor evidence, and serious doubts about minors’ capacity for informed consent. Another clip features Dr. Steven Feder, Chief of Adolescent Medicine at CHEO, stating that gender identity cannot be measured objectively. There are no tests, no MRIs, no biological markers — only the child’s self-report. Evely pressed for data on comorbidities, social influence, de-transition rates, and Swedish studies showing elevated suicide and mortality risks post-transition. Yet the responses were repeatedly the same: affirm first, ask questions later. In perhaps the most intense exchange, Dr. Maria Kielly appears to apply pressure to move forward quickly, framing parental hesitation as the primary obstacle rather than a protective instinct. Evely has dubbed the encounter with Kielly “the Beast” for what he describes as gaslighting and refusal to explore underlying mental health issues. These revelations come as international evidence mounts against the “gender-affirming” medical model. The UK’s Cass Review exposed biased studies and weak foundations for this otherwise unnecessary medicalization of youth. A Finnish study published last month found that severe psychiatric problems in gender-distressed youth do not resolve; in fact, they often worsen after hormones or surgery. This flies in the face of what every ‘expert’ told Evely in his recordings. Regret-filled transitioner Scott Newgent has publicly detailed life-altering complications from transition surgeries, including repeated infections that required extended antibiotics. Evely is now taking his fight to Parliament Hill with the Mayday – Kids in Crisis event on Tuesday, May 5. A press conference is set for 10:30 a.m., followed by a rally at 1 p.m. and an evening gathering at the Biker’s Church in Vanier starting at 6 p.m. Full details and tickets are available at Canadian parents deserve to know what Canadian doctors are saying behind closed clinic doors, including the shaky evidence that gender transition is built upon, as they continue to push a path of irreversible intervention. Puberty blockers, cross-sex hormones, and surgeries that sterilize are not as reversible as they’re sold to be. The science is not settled, despite how many times the darling marketing mantra of Big Pharma is repeated, and long-term outcomes were never included in the informed consent process.
9:21

Veteran dad's shocking recordings expose what doctors really say in Canadian gender clinics A retired Canadian veteran has gone public with secret recordings from inside the Children’s Hospital of Eastern Ontario’s (CHEO) Pediatric Gender Diversity Clinic, revealing an evidence-lacking, affirmation-first approach to medical transition for minors. Jeff Evely returned from overseas deployment to discover that CHEO’s gender clinic (first established in 2011) had already begun working directly with his then-16-year-old daughter. At the age of legal consent in Canada, his daughter was put on a pathway from social affirmation to medical permanence – hormones and, potentially, surgery. Concerned about the lack of long-term data and the vulnerability of an adolescent brain, Evely sat in on follow-up appointments and recorded them. The clips are evoking serious questions about how some Canadian families are treated when they push back, especially since the unanimously passed Bill C-4 makes it a criminal offence to do anything other than affirm a child’s gender transition. In one recording, a psychiatrist admits the evidence base for biomedical transition in teens is weak — yet still confirms a “trans” diagnosis and supports proceeding with medical interventions. The clinician references guidelines from the World Professional Association for Transgender Health (WPATH), an organization whose own leaked internal files later exposed private admissions of experimental practices, poor evidence, and serious doubts about minors’ capacity for informed consent. Another clip features Dr. Steven Feder, Chief of Adolescent Medicine at CHEO, stating that gender identity cannot be measured objectively. There are no tests, no MRIs, no biological markers — only the child’s self-report. Evely pressed for data on comorbidities, social influence, de-transition rates, and Swedish studies showing elevated suicide and mortality risks post-transition. Yet the responses were repeatedly the same: affirm first, ask questions later. In perhaps the most intense exchange, Dr. Maria Kielly appears to apply pressure to move forward quickly, framing parental hesitation as the primary obstacle rather than a protective instinct. Evely has dubbed the encounter with Kielly “the Beast” for what he describes as gaslighting and refusal to explore underlying mental health issues. These revelations come as international evidence mounts against the “gender-affirming” medical model. The UK’s Cass Review exposed biased studies and weak foundations for this otherwise unnecessary medicalization of youth. A Finnish study published last month found that severe psychiatric problems in gender-distressed youth do not resolve; in fact, they often worsen after hormones or surgery. This flies in the face of what every ‘expert’ told Evely in his recordings. Regret-filled transitioner Scott Newgent has publicly detailed life-altering complications from transition surgeries, including repeated infections that required extended antibiotics. Evely is now taking his fight to Parliament Hill with the Mayday – Kids in Crisis event on Tuesday, May 5. A press conference is set for 10:30 a.m., followed by a rally at 1 p.m. and an evening gathering at the Biker’s Church in Vanier starting at 6 p.m. Full details and tickets are available at Canadian parents deserve to know what Canadian doctors are saying behind closed clinic doors, including the shaky evidence that gender transition is built upon, as they continue to push a path of irreversible intervention. Puberty blockers, cross-sex hormones, and surgeries that sterilize are not as reversible as they’re sold to be. The science is not settled, despite how many times the darling marketing mantra of Big Pharma is repeated, and long-term outcomes were never included in the informed consent process.

Rebel News

35,206 次观看 • 3 个月前

Kled Version 3 is coming. Over $20M+ in rewards will be paid directly to users from leading AI labs across robotics, legal services, image and video generation, world modeling, and more. In the last seven days, we’ve received inbound data requests from several decacorn AI labs and enterprises for datasets our human data marketplace is uniquely positioned to provide. Since receiving the specs for these requests, we now have a much better picture and understanding of how to reshape the systems that collect this data, so here’s what’s coming: 1. A fully redesigned home experience: The home feed is being rebuilt to surface the highest-value, most relevant tasks for each user, similar to how Uber Eats surfaces top restaurants. The goal is to turn every user into their most effective version as a data contributor. 2. Automated quality enforcement at scale: New ML systems are being built to evaluate task-specific requirements in real time. For example, if a task requires “two hands visible on camera at all times,” any video that fails that spec will be automatically rejected. This logic will apply across thousands of tasks and specifications using a general ML. 3. Kled Shop: Some tasks require better capture hardware. We’re introducing Kled Shop, where users can redeem points or tokens for equipment like Meta glasses, drones, and other tools. Points and tokens can be converted directly from payouts. 4. Partner-run data labeling and evaluation work: Some of our partners operate high-paying data labeling and model evaluation programs. We’re integrating their workflows directly into Kled so qualified users can access these roles in one place. These jobs are owned and managed by our partners. Kled’s role is to route the right people to the right work. Some opportunities pay $50–$1,000 per hour depending on expertise. 5. Global payouts and localization: We’re partnering with a major payment processor to enable cashouts in users’ native currencies. This unlocks broader global participation. Multi-language support is also coming to accelerate user growth. This full suite of tools will be rolling out soon, directly to Kled users. Top earners are currently making ~$7,000 per month. With this update, we should see the first ~$10,000 per month earner.
0:29

Kled Version 3 is coming. Over $20M+ in rewards will be paid directly to users from leading AI labs across robotics, legal services, image and video generation, world modeling, and more. In the last seven days, we’ve received inbound data requests from several decacorn AI labs and enterprises for datasets our human data marketplace is uniquely positioned to provide. Since receiving the specs for these requests, we now have a much better picture and understanding of how to reshape the systems that collect this data, so here’s what’s coming: 1. A fully redesigned home experience: The home feed is being rebuilt to surface the highest-value, most relevant tasks for each user, similar to how Uber Eats surfaces top restaurants. The goal is to turn every user into their most effective version as a data contributor. 2. Automated quality enforcement at scale: New ML systems are being built to evaluate task-specific requirements in real time. For example, if a task requires “two hands visible on camera at all times,” any video that fails that spec will be automatically rejected. This logic will apply across thousands of tasks and specifications using a general ML. 3. Kled Shop: Some tasks require better capture hardware. We’re introducing Kled Shop, where users can redeem points or tokens for equipment like Meta glasses, drones, and other tools. Points and tokens can be converted directly from payouts. 4. Partner-run data labeling and evaluation work: Some of our partners operate high-paying data labeling and model evaluation programs. We’re integrating their workflows directly into Kled so qualified users can access these roles in one place. These jobs are owned and managed by our partners. Kled’s role is to route the right people to the right work. Some opportunities pay $50–$1,000 per hour depending on expertise. 5. Global payouts and localization: We’re partnering with a major payment processor to enable cashouts in users’ native currencies. This unlocks broader global participation. Multi-language support is also coming to accelerate user growth. This full suite of tools will be rolling out soon, directly to Kled users. Top earners are currently making ~$7,000 per month. With this update, we should see the first ~$10,000 per month earner.

Avi Patel

124,728 次观看 • 6 个月前

First $WELF DAO Proposal Is Live! This proposal aims to set a default voting timeframe for all DAO proposals submitted. What’s a DAO? A DAO (Decentralized Autonomous Organization) is a blockchain-based way for communities to make decisions together. Instead of one central team calling the shots, token holders propose, discuss, and vote on changes. As the WELF DAO begins its governance journey, it’s important to define foundational parameters. One of these is the voting timeframe, the window during which token holders can review and vote on proposals. This proposal presents multiple options for the community to choose from. The selected timeframe will become the default voting duration for all proposals, unless an exception is explicitly stated in a future proposal. Options to Vote On: - 3 Days (72 hours) - 5 Days (120 hours) - 7 Days (168 hours) Voting Mechanism: Each wallet can vote once; you are able to change your vote during the voting period. Voting power is proportional: 1 WELF = 1 vote. The option with the highest vote count will be implemented as the standard. Results: Voting ends on Aug 17, 2025 - 6:00 PM CET. Once the winning option is selected all future proposals will default to that timeframe. Let your voice be heard and help shape the foundations of WELF DAO governance here:
0:25

First $WELF DAO Proposal Is Live! This proposal aims to set a default voting timeframe for all DAO proposals submitted. What’s a DAO? A DAO (Decentralized Autonomous Organization) is a blockchain-based way for communities to make decisions together. Instead of one central team calling the shots, token holders propose, discuss, and vote on changes. As the WELF DAO begins its governance journey, it’s important to define foundational parameters. One of these is the voting timeframe, the window during which token holders can review and vote on proposals. This proposal presents multiple options for the community to choose from. The selected timeframe will become the default voting duration for all proposals, unless an exception is explicitly stated in a future proposal. Options to Vote On: - 3 Days (72 hours) - 5 Days (120 hours) - 7 Days (168 hours) Voting Mechanism: Each wallet can vote once; you are able to change your vote during the voting period. Voting power is proportional: 1 WELF = 1 vote. The option with the highest vote count will be implemented as the standard. Results: Voting ends on Aug 17, 2025 - 6:00 PM CET. Once the winning option is selected all future proposals will default to that timeframe. Let your voice be heard and help shape the foundations of WELF DAO governance here:

Welf Finance

15,591 次观看 • 1 年前

DA Greg Willis Announces First-Degree Murder Indictment in Frisco Track Meet Stabbing Death of Austin Metcalf; Karmelo Anthony Charged Collin County District Attorney Greg Willis announced today that a Collin County Grand Jury has indicted a defendant for First-Degree Murder in the April 2, 2025, stabbing death of 17-year-old Austin Metcalf during a high school track meet in Frisco, Texas. The defendant is Karmelo Sincere Anthony, who was also 17 at the time. District Attorney Willis addressed the indictment in the following video statement: “Earlier this spring, our community was shaken by what happened at a school track meet in Frisco — the violent loss of 17-year-old Austin Metcalf. For weeks, my team has been presenting evidence to the grand jury. Today, I summarized that evidence, and I asked the Grand Jury to return a first degree murder indictment against Karmelo Anthony — which they did. With that indictment, the case now moves formally into the court system. From this point forward, we’ll continue doing our part — fully and fairly — to pursue justice under the law. The trial schedule will be set by the court. But when the time comes, we’ll be ready. We know this case has struck a deep nerve — here in Collin County and beyond. That’s understandable. When something like this happens at a school event, it shakes people to the core. But the justice system works best when it moves with steadiness and with principle. That’s what we’re committed to. And that’s exactly what this case deserves. We’re also mindful of Austin’s family, and everyone who loved him. Please keep them in your thoughts — and, if you’re willing, in your prayers as well. Finally, remember that a defendant is presumed innocent unless and until proven guilty in a court of law.” Additional Information: Murder is a first-degree felony offense that, upon conviction, carries a punishment range of 5 to 99 years, or life, in a Texas prison, and an optional fine not to exceed $10,000. In the Texas criminal justice system, 17-year-olds are considered adults. An arrest and an indictment are not evidence of guilt. All defendants are presumed innocent until proven guilty in a court of law. #PursuingJustice #ProtectingOurCommunity #CollinCountyDA #CollinCounty
1:15

DA Greg Willis Announces First-Degree Murder Indictment in Frisco Track Meet Stabbing Death of Austin Metcalf; Karmelo Anthony Charged Collin County District Attorney Greg Willis announced today that a Collin County Grand Jury has indicted a defendant for First-Degree Murder in the April 2, 2025, stabbing death of 17-year-old Austin Metcalf during a high school track meet in Frisco, Texas. The defendant is Karmelo Sincere Anthony, who was also 17 at the time. District Attorney Willis addressed the indictment in the following video statement: “Earlier this spring, our community was shaken by what happened at a school track meet in Frisco — the violent loss of 17-year-old Austin Metcalf. For weeks, my team has been presenting evidence to the grand jury. Today, I summarized that evidence, and I asked the Grand Jury to return a first degree murder indictment against Karmelo Anthony — which they did. With that indictment, the case now moves formally into the court system. From this point forward, we’ll continue doing our part — fully and fairly — to pursue justice under the law. The trial schedule will be set by the court. But when the time comes, we’ll be ready. We know this case has struck a deep nerve — here in Collin County and beyond. That’s understandable. When something like this happens at a school event, it shakes people to the core. But the justice system works best when it moves with steadiness and with principle. That’s what we’re committed to. And that’s exactly what this case deserves. We’re also mindful of Austin’s family, and everyone who loved him. Please keep them in your thoughts — and, if you’re willing, in your prayers as well. Finally, remember that a defendant is presumed innocent unless and until proven guilty in a court of law.” Additional Information: Murder is a first-degree felony offense that, upon conviction, carries a punishment range of 5 to 99 years, or life, in a Texas prison, and an optional fine not to exceed $10,000. In the Texas criminal justice system, 17-year-olds are considered adults. An arrest and an indictment are not evidence of guilt. All defendants are presumed innocent until proven guilty in a court of law. #PursuingJustice #ProtectingOurCommunity #CollinCountyDA #CollinCounty

Collin County DA

46,616 次观看 • 1 年前

I know your timeline is flooded now with word salads of "insane, HER, 10 features you missed, we're so back". Sit down. Chill. Take a deep breath like Mark does in the demo . Let's think step by step: - Technique-wise, OpenAI has figured out a way to map audio to audio directly as first-class modality, and stream videos to a transformer in real-time. These require some new research on tokenization and architecture, but overall it's a data and system optimization problem (as most things are). High-quality data can come from at least 2 sources: 1) Naturally occurring dialogues on YouTube, podcasts, TV series, movies, etc. Whisper can be trained to identify speaker turns in a dialogue or separate overlapping speeches for automated annotation. 2) Synthetic data. Run the slow 3-stage pipeline using the most powerful models: speech1->text1 (ASR), text1->text2 (LLM), text2->speech2 (TTS). The middle LLM can decide when to stop and also simulate how to resume from interruption. It could output additional "thought traces" that are not verbalized to help generate better reply. Then GPT-4o distills directly from speech1->speech2, with optional auxiliary loss functions based on the 3-stage data. After distillation, these behaviors are now baked into the model without emitting intermediate texts. On the system side: the latency would not meet real-time threshold if every video frame is decompressed into an RGB image. OpenAI has likely developed their own neural-first, streaming video codec to transmit the motion deltas as tokens. The communication protocol and NN inference must be co-optimized. For example, there could be a small and energy-efficient NN running on the edge device that decides to transmit more tokens if the video is interesting, and fewer otherwise. - I didn't expect GPT-4o to be closer to GPT-5, the rumored "Arrakis" model that takes multimodal in and out. In fact, it's likely an early checkpoint of GPT-5 that hasn't finished training yet. The branding betrays a certain insecurity. Ahead of Google I/O, OpenAI would rather beat our mental projection of GPT-4.5 than disappoint by missing the sky-high expectation for GPT-5. A smart move to buy more time. - Notably, the assistant is much more lively and even a bit flirty. GPT-4o is trying (perhaps a bit too hard) to sound like HER. OpenAI is eating Character AI's lunch, with almost 100% overlap in form factor and huge distribution channels. It's a pivot towards more emotional AI with strong personality, which OpenAI seemed to actively suppress in the past. - Whoever wins Apple first wins big time. I see 3 levels of integration with iOS: 1) Ditch Siri. OpenAI distills a smaller-tier, purely on-device GPT-4o for iOS, with optional paid upgrade to use the cloud. 2) Native features to stream the camera or screen into the model. Chip-level support for neural audio/video codec. 3) Integrate with iOS system-level action API and smart home APIs. No one uses Siri Shortcuts, but it's time to resurrect. This could become the AI agent product with a billion users from the get-go. The FSD for smartphones with a Tesla-scale data flywheel.
14:22

I know your timeline is flooded now with word salads of "insane, HER, 10 features you missed, we're so back". Sit down. Chill. Take a deep breath like Mark does in the demo . Let's think step by step: - Technique-wise, OpenAI has figured out a way to map audio to audio directly as first-class modality, and stream videos to a transformer in real-time. These require some new research on tokenization and architecture, but overall it's a data and system optimization problem (as most things are). High-quality data can come from at least 2 sources: 1) Naturally occurring dialogues on YouTube, podcasts, TV series, movies, etc. Whisper can be trained to identify speaker turns in a dialogue or separate overlapping speeches for automated annotation. 2) Synthetic data. Run the slow 3-stage pipeline using the most powerful models: speech1->text1 (ASR), text1->text2 (LLM), text2->speech2 (TTS). The middle LLM can decide when to stop and also simulate how to resume from interruption. It could output additional "thought traces" that are not verbalized to help generate better reply. Then GPT-4o distills directly from speech1->speech2, with optional auxiliary loss functions based on the 3-stage data. After distillation, these behaviors are now baked into the model without emitting intermediate texts. On the system side: the latency would not meet real-time threshold if every video frame is decompressed into an RGB image. OpenAI has likely developed their own neural-first, streaming video codec to transmit the motion deltas as tokens. The communication protocol and NN inference must be co-optimized. For example, there could be a small and energy-efficient NN running on the edge device that decides to transmit more tokens if the video is interesting, and fewer otherwise. - I didn't expect GPT-4o to be closer to GPT-5, the rumored "Arrakis" model that takes multimodal in and out. In fact, it's likely an early checkpoint of GPT-5 that hasn't finished training yet. The branding betrays a certain insecurity. Ahead of Google I/O, OpenAI would rather beat our mental projection of GPT-4.5 than disappoint by missing the sky-high expectation for GPT-5. A smart move to buy more time. - Notably, the assistant is much more lively and even a bit flirty. GPT-4o is trying (perhaps a bit too hard) to sound like HER. OpenAI is eating Character AI's lunch, with almost 100% overlap in form factor and huge distribution channels. It's a pivot towards more emotional AI with strong personality, which OpenAI seemed to actively suppress in the past. - Whoever wins Apple first wins big time. I see 3 levels of integration with iOS: 1) Ditch Siri. OpenAI distills a smaller-tier, purely on-device GPT-4o for iOS, with optional paid upgrade to use the cloud. 2) Native features to stream the camera or screen into the model. Chip-level support for neural audio/video codec. 3) Integrate with iOS system-level action API and smart home APIs. No one uses Siri Shortcuts, but it's time to resurrect. This could become the AI agent product with a billion users from the get-go. The FSD for smartphones with a Tesla-scale data flywheel.

Jim Fan

991,844 次观看 • 2 年前

ORANGE $PILL: WEEK 1 UPDATE + MAJOR PARTNERSHIP ANNOUNCEMENT 🍊💊 BURN 2 EARN - WEEK 1 OF 6 COMPLETE ~155 BTC worth of dead tokens burned so far. Breakdown: - BRC-20s: 2.99% - Runes: 2.66% - Alkanes: 0.06% - CBRC-20s: 94.29% The community support has been incredible. 5 more weeks to go. --- THE BIG NEWS We've been watching where our burn volume is coming from. The answer was clear: the OP_NET community has shown up harder than anyone. So we reached out to the OP_NET team. What happened next exceeded every expectation. --- ANNOUNCING: ORANGE PILL x OP_NET x MOTOSWAP PARTNERSHIP The OP_NET and Motoswap teams have officially agreed to support and endorse the Orange PILL initiative. Let's be crystal clear about what this is: Orange $PILL is an INDEPENDENT community project. We are NOT an official OP_NET protocol token. OP_NET will never have a protocol token - the only gas token OP_NET uses is and always will be $BTC. What we ARE: A community-driven unification token that is now officially aligned with and supported by the OP_NET ecosystem. --- WHY THIS PARTNERSHIP MAKES SENSE The OP_NET team recognized something important: they're building a new token standard on Bitcoin. The last thing this space needs is ANOTHER fragmenting force that requires people to spend more BTC buying/minting another new token. Orange $PILL already exists to unify failed token standards. Instead of competing, we're collaborating. $PILL gives the entire Bitcoin community an OP_20 token to use, trade, and farm - without spending additional BTC on a new standard. Everyone wins. --- THE PARTNERSHIP TERMS What Orange PILL receives: • $PILL becomes the FIRST OP_20 token • $PILL becomes the FIRST yield farm token on Motoswap • Featured placement in the Motoswap farming section at launch • Official support and endorsement from both teams What we're giving in return: • A portion of $PILL supply gifted to the OP_NET team for long-term incentive alignment • A portion of fees from Orange $PILL's liquidity mining program shared with OP_NET • Testnet users of OP_NET and Motoswap (who have been testing for ~1 year) will receive $PILL as their reward for contributing to the ecosystem --- MOTOSWAP ALIGNMENT You can't align with OP_NET without aligning with Motoswap. • Treasury swap between $PILL and $MOTO to ensure deep PILL/MOTO liquidity from day 1 • Additional $PILL airdrop to ALL $MOTO holders (burned AND non-burned) beyond B2E rewards • Additional $PILL airdrop to ALL Motocat holders The communities are now fully aligned. --- LONG TERM VISION Orange $PILL's ultimate goal: the first truly decentralized DAO on Bitcoin, powered by OP_NET smart contracts. Full tokenomics will be disclosed as we approach OP_NET mainnet and $PILL launch. --- FINAL NOTE - PLEASE READ We are beyond grateful to the OP_NET and Motoswap teams for this opportunity. Their support means everything to this community. But we need everyone to understand and respect this: $PILL is NOT an official OP_NET protocol token. There is no OP_NET protocol token and there never will be. $BTC is the only native gas token OP_NET uses. We are an independent community that is now proudly aligned with the OP_NET ecosystem. Please represent this accurately in your messaging. --- Thank you OP_NET. Thank you Motoswap. Let's build. Taking the Orange $PILL is choosing Bitcoin unification 🍊💊
0:26

ORANGE $PILL: WEEK 1 UPDATE + MAJOR PARTNERSHIP ANNOUNCEMENT 🍊💊 BURN 2 EARN - WEEK 1 OF 6 COMPLETE ~155 BTC worth of dead tokens burned so far. Breakdown: - BRC-20s: 2.99% - Runes: 2.66% - Alkanes: 0.06% - CBRC-20s: 94.29% The community support has been incredible. 5 more weeks to go. --- THE BIG NEWS We've been watching where our burn volume is coming from. The answer was clear: the OP_NET community has shown up harder than anyone. So we reached out to the OP_NET team. What happened next exceeded every expectation. --- ANNOUNCING: ORANGE PILL x OP_NET x MOTOSWAP PARTNERSHIP The OP_NET and Motoswap teams have officially agreed to support and endorse the Orange PILL initiative. Let's be crystal clear about what this is: Orange $PILL is an INDEPENDENT community project. We are NOT an official OP_NET protocol token. OP_NET will never have a protocol token - the only gas token OP_NET uses is and always will be $BTC. What we ARE: A community-driven unification token that is now officially aligned with and supported by the OP_NET ecosystem. --- WHY THIS PARTNERSHIP MAKES SENSE The OP_NET team recognized something important: they're building a new token standard on Bitcoin. The last thing this space needs is ANOTHER fragmenting force that requires people to spend more BTC buying/minting another new token. Orange $PILL already exists to unify failed token standards. Instead of competing, we're collaborating. $PILL gives the entire Bitcoin community an OP_20 token to use, trade, and farm - without spending additional BTC on a new standard. Everyone wins. --- THE PARTNERSHIP TERMS What Orange PILL receives: • $PILL becomes the FIRST OP_20 token • $PILL becomes the FIRST yield farm token on Motoswap • Featured placement in the Motoswap farming section at launch • Official support and endorsement from both teams What we're giving in return: • A portion of $PILL supply gifted to the OP_NET team for long-term incentive alignment • A portion of fees from Orange $PILL's liquidity mining program shared with OP_NET • Testnet users of OP_NET and Motoswap (who have been testing for ~1 year) will receive $PILL as their reward for contributing to the ecosystem --- MOTOSWAP ALIGNMENT You can't align with OP_NET without aligning with Motoswap. • Treasury swap between $PILL and $MOTO to ensure deep PILL/MOTO liquidity from day 1 • Additional $PILL airdrop to ALL $MOTO holders (burned AND non-burned) beyond B2E rewards • Additional $PILL airdrop to ALL Motocat holders The communities are now fully aligned. --- LONG TERM VISION Orange $PILL's ultimate goal: the first truly decentralized DAO on Bitcoin, powered by OP_NET smart contracts. Full tokenomics will be disclosed as we approach OP_NET mainnet and $PILL launch. --- FINAL NOTE - PLEASE READ We are beyond grateful to the OP_NET and Motoswap teams for this opportunity. Their support means everything to this community. But we need everyone to understand and respect this: $PILL is NOT an official OP_NET protocol token. There is no OP_NET protocol token and there never will be. $BTC is the only native gas token OP_NET uses. We are an independent community that is now proudly aligned with the OP_NET ecosystem. Please represent this accurately in your messaging. --- Thank you OP_NET. Thank you Motoswap. Let's build. Taking the Orange $PILL is choosing Bitcoin unification 🍊💊

Orange Pill 🍊💊

52,074 次观看 • 8 个月前