Recent well liked threads
Energy Harvesting | Blood Rituals | Timeline Shifts | Thread 🧵👇👀
————————————————
On September 10th, a date I believe was intentionally used to break the spell of the 9/11 blood sacrifice and energy ritual for the first time since it happened, I found myself needing to take a step back. I had to change my perspective and my level of perception, looking at the past decade—from the golden escalator moment to this very week—and pause from the chaos of these energy-harvesting events.
————————————————
On September 10th, a date I believe was intentionally used to break the spell of the 9/11 blood sacrifice and energy ritual for the first time since it happened, I found myself needing to take a step back. I had to change my perspective and my level of perception, looking at the past decade—from the golden escalator moment to this very week—and pause from the chaos of these energy-harvesting events.
NPC’s | Bystanders | Truthers
———————————————
I reminded myself that there are different types of people in this world, and each receives information and truth in very different ways. Not everything is meant for me. By nature, I would consider myself a “true believer”—not an “anon” because I’m not anonymous, but in that same people group. That awareness forced me to recognize that this event wasn’t about waking me up—I’ve been awake for a decade+. It was staged for all the others still asleep.
———————————————
I reminded myself that there are different types of people in this world, and each receives information and truth in very different ways. Not everything is meant for me. By nature, I would consider myself a “true believer”—not an “anon” because I’m not anonymous, but in that same people group. That awareness forced me to recognize that this event wasn’t about waking me up—I’ve been awake for a decade+. It was staged for all the others still asleep.
The Manufactured Narrative
——————————————
As this event unfolded, I reminded myself: within 48 hours, the official narrative would be riddled with gaps and holes—by design. We live in an age of instant information. Millions of phones and social feeds provide first- and second-hand accounts in real time. This wasn’t a live television event—it was a live social media event.
That immediacy matters, especially when you realize we ultimately have zero control over what is captured, filtered, or allowed through these devices. The feed is curated, manipulated, and shaped long before it reaches the masses.
——————————————
As this event unfolded, I reminded myself: within 48 hours, the official narrative would be riddled with gaps and holes—by design. We live in an age of instant information. Millions of phones and social feeds provide first- and second-hand accounts in real time. This wasn’t a live television event—it was a live social media event.
That immediacy matters, especially when you realize we ultimately have zero control over what is captured, filtered, or allowed through these devices. The feed is curated, manipulated, and shaped long before it reaches the masses.
Just before Tommy Boi just left to go home he caught ANTIFA receiving cartloads of stuff and taking it into the storage shed right next to PORTLAND ICE 10/13/25 @nickshirleyy
VIDEO CREDIT: @Tommy4Trump420
VIDEO CREDIT: @Tommy4Trump420
@nickshirleyy @Tommy4Trump420
@nickshirleyy @Tommy4Trump420
Meta just did the unthinkable.
They figured out how to train AI agents without rewards, human demos, or supervision and it actually works better than both.
It’s called 'Early Experience', and it quietly kills the two biggest pain points in agent training:
→ Human demonstrations that don’t scale
→ Reinforcement learning that’s expensive and unstable
Instead of copying experts or chasing reward signals, agents now:
- Take their own actions
- Observe what happens
- Learn directly from consequences — *no external rewards needed*
The numbers are wild:
✅ +18.4% on web navigation (WebShop)
✅ +15.0% on complex planning (TravelPlanner)
✅ +13.3% on scientific reasoning (ScienceWorld)
✅ Works across **8 environments**
And when you add RL afterward?
🔥 +6.4% better than traditional pipelines.
Two key ideas make it work:
1. Implicit World Modeling - agents predict what happens next, forming an internal world model.
2. Self-Reflection - they compare mistakes to experts and explain why the expert choice was better.
Both scale. Both are reward-free.
Efficiency is absurd:
1/8 of expert data
86.9% lower cost
Works from 3B → 70B models
This isn’t incremental.
It’s the bridge between imitation learning and true autonomous experience.
AI agents can now teach themselves - no human hand-holding required.
They figured out how to train AI agents without rewards, human demos, or supervision and it actually works better than both.
It’s called 'Early Experience', and it quietly kills the two biggest pain points in agent training:
→ Human demonstrations that don’t scale
→ Reinforcement learning that’s expensive and unstable
Instead of copying experts or chasing reward signals, agents now:
- Take their own actions
- Observe what happens
- Learn directly from consequences — *no external rewards needed*
The numbers are wild:
✅ +18.4% on web navigation (WebShop)
✅ +15.0% on complex planning (TravelPlanner)
✅ +13.3% on scientific reasoning (ScienceWorld)
✅ Works across **8 environments**
And when you add RL afterward?
🔥 +6.4% better than traditional pipelines.
Two key ideas make it work:
1. Implicit World Modeling - agents predict what happens next, forming an internal world model.
2. Self-Reflection - they compare mistakes to experts and explain why the expert choice was better.
Both scale. Both are reward-free.
Efficiency is absurd:
1/8 of expert data
86.9% lower cost
Works from 3B → 70B models
This isn’t incremental.
It’s the bridge between imitation learning and true autonomous experience.
AI agents can now teach themselves - no human hand-holding required.
The problem with current AI agents is brutal.
Imitation Learning: Agents only see expert demos.
When they mess up, they can't recover because they never learned what happens when you take wrong actions.
RL: Needs verifiable rewards. Most real-world environments don't have them.Early Experience solves both.
Imitation Learning: Agents only see expert demos.
When they mess up, they can't recover because they never learned what happens when you take wrong actions.
RL: Needs verifiable rewards. Most real-world environments don't have them.Early Experience solves both.
Here's how Self-Reflection actually works:
1/ Agent sees an expert action at each state
2/ Agent proposes 3 alternative actions
3/ Environment shows what happens with each
4/ LLM generates reasoning: "Why was the expert choice better?"
5/ Agent trains on this reasoning
It's learning from contrast, not just copying.
1/ Agent sees an expert action at each state
2/ Agent proposes 3 alternative actions
3/ Environment shows what happens with each
4/ LLM generates reasoning: "Why was the expert choice better?"
5/ Agent trains on this reasoning
It's learning from contrast, not just copying.
🧵 New paper from FAIR (Meta) on recursion + latent reasoning: "Encode,Think,Decode (ETD): Scaling reasoning through recursive latent thoughts".
ETD improves the reasoning of base model by training it to iterate over a subset of reasoning-critical layers during mid-training.(1/n)
ETD improves the reasoning of base model by training it to iterate over a subset of reasoning-critical layers during mid-training.(1/n)
@nicola_cancedda @AldoLipani Motivation:
- Depth, not just parameter count, is key to stronger compositional reasoning.
- Chain-of-Thought does not fully capture varying amounts of internal computation.
- Interpretability studies show that reasoning is concentrated in a deeper layers. (2/n)
- Depth, not just parameter count, is key to stronger compositional reasoning.
- Chain-of-Thought does not fully capture varying amounts of internal computation.
- Interpretability studies show that reasoning is concentrated in a deeper layers. (2/n)
From various interpretability works, we draw the conclusion that early to middle layers play a critical role in task understanding and knowledge retrieval, while deeper layers are important for higher-level inferences such as those required for mathematical reasoning. (3/n)
What happens when you finally identify, find, serve & depose an Antifa member?
They lie.
@PortlandPolice never arrested any of the Antifa militants who tried to kill me. So I went after the ones I could identify through the courts.
Watch the deposition tape of Portland Antifa ringleader Elizabeth Renee Richter (b. Nov. 21, 1983): ngocomment.com/p/what-happens…
They lie.
@PortlandPolice never arrested any of the Antifa militants who tried to kill me. So I went after the ones I could identify through the courts.
Watch the deposition tape of Portland Antifa ringleader Elizabeth Renee Richter (b. Nov. 21, 1983): ngocomment.com/p/what-happens…
The legal nonprofit started by @HarmeetKDhillon is still representing me in trying to hold accountable the Trantifa militants who have judgments against them for attacking me. Some remain at-large. You can read about my @Liberty_Ctr case and support at: libertycenter.org/andy-ngo-trial…
Watch the full deposition tape of Portland Antifa ringleader Elizabeth Renee Richter: ngocomment.com/p/what-happens…
There are big differences, yes. I always value my experience working in a print news room and have long had to answer to editors. But you have even more institutional support than I ever did and I noticed you fail in accuracy when you refer to men as women in your reporting.
Portland reporter @blairgbest blocked me after I called her out for inaccuracies in her work. She is smearing the citizen journalists covering the ICE facility.
Wants to improve your ColBERT models (almost) for free?
Simply use a MLP for the projection instead of a single linear layer!
It is supported (alongside residual) in PyLate through the modular definition!
Simply use a MLP for the projection instead of a single linear layer!
It is supported (alongside residual) in PyLate through the modular definition!
Congratulations to @mixedbreadai for the finding and the thorough experiments and thanks to @bclavie for helping with day 1 support in PyLate!
lightonai.github.io/pylate/
lightonai.github.io/pylate/
Who has Xi purged from the CCP Central Committee?
Attendance at next week's Fourth Plenum will reveal the extent of his recent "purge surge"
If all rumors are true, only 168/205 members (82%) and 159/171 alternates (93%) will be there
And only 17/44 of PLA members (39%)!
1/
Attendance at next week's Fourth Plenum will reveal the extent of his recent "purge surge"
If all rumors are true, only 168/205 members (82%) and 159/171 alternates (93%) will be there
And only 17/44 of PLA members (39%)!
1/
Would be the sparsest plenum in recent memory
Main cause is spate of disappearances and disciplinary campaigns in the People's Liberation Army
Closest comparison I can find is the 2017 Seventh Plenum at the end of Xi's first-term crackdown (191 members and 145 alternates)
2/
Main cause is spate of disappearances and disciplinary campaigns in the People's Liberation Army
Closest comparison I can find is the 2017 Seventh Plenum at the end of Xi's first-term crackdown (191 members and 145 alternates)
2/
This year could be big drop from the 199/205 members and 165/171 alternates at the Third Plenum last July
Illness and travel explain some absences; but political trouble explains more
Some "missing" cadres may resurface, but maximum attendance will be 193/205 and 165/171
3/
Illness and travel explain some absences; but political trouble explains more
Some "missing" cadres may resurface, but maximum attendance will be 193/205 and 165/171
3/
🚀 Qoder CLI is here.
We built Qoder IDE to make agentic coding powerful. But we noticed some developers spend huge amounts of time outside IDEs—in terminals, automating, deploying, scripting.
So we brought Qoder's advanced Context Engine to CLI. AI-native, lightweight, works everywhere your terminal does.
We built Qoder IDE to make agentic coding powerful. But we noticed some developers spend huge amounts of time outside IDEs—in terminals, automating, deploying, scripting.
So we brought Qoder's advanced Context Engine to CLI. AI-native, lightweight, works everywhere your terminal does.
Built for performance:
- 70% less idel memory than alternatives
- <200ms response time
- Zero-config startup
- Custom commands & sub-agents
- MCP integration
- agents .md for guiding agents
- 70% less idel memory than alternatives
- <200ms response time
- Zero-config startup
- Custom commands & sub-agents
- MCP integration
- agents .md for guiding agents
Quest Mode is now in CLI.
The spec-driven development feature from Qoder IDE—loved by the community—now works in your terminal.
Multi-agent architecture under the hood:
- the Design agent handles specs,
- the Task Executor agent implements them.
The spec-driven development feature from Qoder IDE—loved by the community—now works in your terminal.
Multi-agent architecture under the hood:
- the Design agent handles specs,
- the Task Executor agent implements them.
Ziomata Evelyn Aviles, RN is the nurse that battered me, said my consent didn't matter because I was a psych patient, and tried to rob me of my phone with force and intimidation (armed robbery). She pretends the fact she said she merely wanted to set it aside or that it was pointed at her gave her the right. She admits I had to beg for a meal that was supposed to be provided when I was given the ibuprofen. Instead I was denied ibuprofen for an additional 30 minutes. She demanded I say please. I demand to know how she will plea.
I was not filming her. I was in fact on the phone with member services which makes using the camera impossible, AS SHE ADMITS. I was not allowed to refuse to let this phone jacking lunatic abuser continue to handle my medications. I removed the IV because it hurt and they had been forcing me to keep it in despite the pain. Physically covering it with their ungloved hand.
I was not filming her. I was in fact on the phone with member services which makes using the camera impossible, AS SHE ADMITS. I was not allowed to refuse to let this phone jacking lunatic abuser continue to handle my medications. I removed the IV because it hurt and they had been forcing me to keep it in despite the pain. Physically covering it with their ungloved hand.
Ziomara Evelyn Aviles i mean
Why I say it's armed and not just robbery. They had already left me outside in the cold at 11 PM for an hour in just thin pajamas, no blanket no prescribed treatments for my surgical wound, in the parking lot, knowing 911 wouldn't get me if I called and knowing I could not move the gurney or get off it on my own in my current state, no crutches to use once I was down, knowing I was alone, claiming falsely that I was on a 5150 hold (doctor was like wtf they can't order that) and they wouldn't let me leave anyway.
It had been pouring rain the night before and it was bitterly cold. The deadly weapon they had already brandished was called exposure. Last night at that time it was 56 degrees F here, and when you're in a parking lot on a gurney with no one checking on you not knowing when anyone will help you, it crosses your mind that you will die if no one helps you.
It had been pouring rain the night before and it was bitterly cold. The deadly weapon they had already brandished was called exposure. Last night at that time it was 56 degrees F here, and when you're in a parking lot on a gurney with no one checking on you not knowing when anyone will help you, it crosses your mind that you will die if no one helps you.
Why women are more likely to develop long COVID?
This new preprint is fascinating - it’s the first to experimentally explain why women are more prone to long COVID, even though men more often end up hospitalized during acute infection🧵
This new preprint is fascinating - it’s the first to experimentally explain why women are more prone to long COVID, even though men more often end up hospitalized during acute infection🧵
Researchers infected male and female mice with SARS-CoV-2 (B.1.621) and tracked them for 3 months.
Males - worse acute illness, lung damage, higher mortality.
Females - milder acute phase, but later showed memory loss, brain inflammation, and activated microglia long after recovery.
Males - worse acute illness, lung damage, higher mortality.
Females - milder acute phase, but later showed memory loss, brain inflammation, and activated microglia long after recovery.
The key difference wasn’t hormones - it was the X chromosome.
Two X chromosomes (XX) protect in the acute phase,
but make the immune system more likely to stay on afterwards.
One X (XY or X0) = worse acute COVID, fewer long-term effects.
Two X chromosomes (XX) protect in the acute phase,
but make the immune system more likely to stay on afterwards.
One X (XY or X0) = worse acute COVID, fewer long-term effects.
Precision Granite & Marble LLC did the work at UVU?
Grok : "Precision Granite and Marble LLC has been unlicensed since 2015. Its contractor license (No. 8763086-5501) was revoked by the Utah Division of Occupational and Professional Licensing in 2015 due to failure to replace its qualifier after a change or lapse. "
This is the website from the wayback machine
web.archive.org/web/2014033021…
Company address:
1728 W 2550th S Ste 106 Ogden, UT 84401
yelp.com/biz/precision-…
web.archive.org/web/2014033021…
Company address:
1728 W 2550th S Ste 106 Ogden, UT 84401
yelp.com/biz/precision-…
Well, I said goodbye to my 20s today 😭 Hello 30!
Thank you all for the birthday wishes! I'm honestly feeling like this today, so it helps 😂
/1🚨VICTORY — AFL just DEFEATED the @ACLU in a landmark immigration enforcement case.
A Pennsylvania court THREW OUT the ACLU’s lawsuit attacking a local sheriff for working with ICE.
Major victory for the rule of law and public safety.
A Pennsylvania court THREW OUT the ACLU’s lawsuit attacking a local sheriff for working with ICE.
Major victory for the rule of law and public safety.
/2 The ACLU and its activist allies sued Bucks County Sheriff Fred Harran for partnering with ICE under the 287(g) Program, which allows trained state and local law enforcement officers to assist federal immigration enforcement efforts.
/3 The ACLU’s lawsuit sought to block local law enforcement from helping federal agents remove criminal illegal aliens and keep Americans safe.
AFL and @WallyZimolong defended Sheriff Harran and fought back against the ACLU’s attack on the rule of law.
AFL and @WallyZimolong defended Sheriff Harran and fought back against the ACLU’s attack on the rule of law.
Ngo scoop: I found out who rented the Antifa riot supply U-Haul outside the ICE facility in Portland.
It was rented by Portland Trantifa militant Michelle Paulette Backes, previously named Michael Patrick Backes. He works as a prostitute and has a criminal history in Texas. He uses the alias "Bunny Quinn." archive.is/IoHfl
On his escort page, he charges $600 for a two-hour hotel room visit and says he only accepts cash.
Out of his former Houston home, he operated "Daddy and Boy International." ngocomment.com
It was rented by Portland Trantifa militant Michelle Paulette Backes, previously named Michael Patrick Backes. He works as a prostitute and has a criminal history in Texas. He uses the alias "Bunny Quinn." archive.is/IoHfl
On his escort page, he charges $600 for a two-hour hotel room visit and says he only accepts cash.
Out of his former Houston home, he operated "Daddy and Boy International." ngocomment.com
Sadly, I have to (mostly) concur. If solution to military pay was not some clever way to xfer RDTE $ to MILPERS, but that they just decided to just spend RDTE $ on MILPERS, that's an absurdly egregious violation of constitutional/statutory approps law. 1/
As noted, this isn't the worst-case-scenario you can think of on the *facts,* because (1) paying the troops has wide support; and (2) the affected RDTE accounts will probably be squared in the future. 2/
But this is, indeed, a POTUS move that hints at the total upending of duration/amount/purpose restrictions on approps. You know, the ones that date back 400-500 years, when parliament transitioned from "supply" to "appropriations" to reel-in the King. 3/