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@mrqbtw

Politically homeless

Katılım Ekim 2021
519 Takip Edilen181 Takipçiler
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Q@mrqbtw·
When every Democrat Senator votes no on RFK, author of NYT best seller 'The Real Dr Anthony Fauci'... Please remember those are the same people who to this day tell you this guy was an American hero: The theory that Dr. Anthony Fauci knowingly lied about the origins of COVID-19 stems from his involvement in funding EcoHealth Alliance, which in turn funneled money to the Wuhan Institute of Virology (WIV) for research on bat coronaviruses. The allegations center on whether this research constituted illegal gain-of-function (GoF) work—experiments that enhance a virus’s ability to cause disease in humans. 1. The NIH Funding of EcoHealth Alliance & Wuhan Lab -The National Institute of Allergy and Infectious Diseases (NIAID), under Fauci’s leadership, provided funding to EcoHealth Alliance, a nonprofit led by Dr. Peter Daszak. -Between 2014 and 2019, EcoHealth received NIH grants totaling around $3.7 million, part of which was sub-granted to the Wuhan Institute of Virology for research on bat coronaviruses. -In 2017, despite a U.S. moratorium on gain-of-function research (2014–2017), the NIH under Fauci resumed funding for projects that many experts argue met the definition of gain-of-function. -Internal documents show that the EcoHealth grant proposals explicitly discussed altering bat coronaviruses to increase their ability to infect human cells. 2. Did Fauci’s NIH Fund Illegal Gain-of-Function Research? -The Wuhan lab research involved inserting spike proteins from bat coronaviruses into genetically modified SARS-like viruses, increasing their infectivity in human cells. -In October 2021, the NIH admitted that EcoHealth failed to report results from a 2018 experiment where a modified bat coronavirus became more infectious. -Despite repeated denials in public and congressional testimony, Fauci was later confronted with evidence that these experiments fit the NIH's own definition of gain-of-function research. -Critics argue Fauci misled Congress by saying the NIH did not fund GoF research, despite documents contradicting his claim. 3. Fauci’s Role in Shaping the Lab Leak Narrative -In early 2020, Fauci worked with Dr. Francis Collins (then NIH director) to dismiss the lab leak theory, despite internal emails showing he was aware of its plausibility. -February 1, 2020: Fauci held a private teleconference with virologists, where some scientists (including Dr. Kristian Andersen) initially expressed concern that COVID-19 looked engineered. -Within days, those same scientists publicly reversed course, calling the lab leak a “conspiracy theory” in The Lancet and Nature Medicine—papers that Fauci later cited in public. -It was later revealed that Fauci and Collins pressured these scientists behind closed doors to downplay lab-leak concerns. 4. Avoiding Scrutiny: FOIA Evasion and Private Communications -Fauci used personal email accounts and phone calls to discuss official government business, allowing him to evade Freedom of Information Act (FOIA) requests. -Key example: When Fauci and Collins coordinated their response to the lab-leak theory, Collins suggested they avoid email for sensitive discussions. -The NIH slow-walked FOIA requests, only releasing heavily redacted communications years later, further fueling speculation of a cover-up. 5. Censorship and Coordination with Big Tech -Internal emails (from FOIA requests) show that Fauci and government officials worked with social media companies like Twitter and Facebook to suppress lab-leak discussions. -July 2021: The Biden administration, with Fauci’s input, urged tech companies to censor COVID-19 “misinformation”, including posts suggesting a lab-leak origin. 6. Was There a Cover-Up? -Congressional testimony in 2023 revealed that Fauci’s NIAID continued funding EcoHealth Alliance even afterthe Wuhan research raised concerns. -EcoHealth failed to provide progress reports on experiments that might have led to more virulent viruses. -Despite all this, Fauci never faced criminal investigation and retired in December 2022. Conclusion The allegations against Fauci revolve around misleading Congress, funding gain-of-function research despite denials, and suppressing the lab-leak theory while evading scrutiny through backdoor communications. While there’s no direct proof Fauci “knew” COVID-19 leaked from the Wuhan lab, the circumstantial evidence suggests he worked aggressively to downplay any possibility that U.S. funding played a role in the pandemic’s origins. Over a million Americans died, millions more globally, worst inflation cycle in 50 years that crippled 100s of millions economically, destroyed the development of millions school age children. Millions of people lost their job. He lied about mask effectiveness. Made up pseudo science about social distancing he later admitted to. Ushered in the most authoritarian time in American history in dozens of states. Pushed for mandatory experimental mRNA vax that had never been used before and had very little data to support the “safe and effective claims.” Pushed it on children, despite there being overwhelming evidence that healthy children and young people weren’t at risk for serious COVID 19 cases. Told you it would prevent infection and transmission. Joe Biden pardoned him for every possible crime going back to 2014, the same year his partnership with eco health alliance began. This is the biggest scandal in American history and every single Democrat Senator this week will try to make sure RFK, who knows about all of this, never steps foot into a position where can make sure it doesn't happen again. Sources used: chatgpt.com/share/679c7c8b…
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Q@mrqbtw·
@deedydas lol it’s incremental improvement by 15-25%
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Deedy
Deedy@deedydas·
Claude Mythos just obliterated every single benchmark in AI. I can't believe what I'm reading.
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Q@mrqbtw·
@theisabelb What is distinguishable between bush and Hillary?
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Isabel Brown
Isabel Brown@theisabelb·
Teenagers are sharing photos of their AP U.S. Government textbooks, and the sheer amount of indoctrination is wildly disturbing. Apparently, Barack Obama is ideologically a right wing authoritarian. Hillary Clinton and George W Bush are entirely indistinguishable politically. Donald Trump is of course virtually the same as Hitler. @tedcruz is apparently more radically authoritarian than Fidel Castro AND Joseph Stalin..??!!?? @Linda_McMahon — can we expedite some major changes to American public education?
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Q@mrqbtw·
@ILLENIUM Best show I’ve ever been to thanks 🙏
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ILLENIUM
ILLENIUM@ILLENIUM·
I'm at such a loss for words. What an absolutely beautiful sphere run. I've never felt more creatively fulfilled in my entire life. Thank you all so fkn much for supporting me and this insane journey. 9 sold out shows at this groundbreaking venue, I'll never fkn forget that. WOW!!❤️
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Q@mrqbtw·
@SenWarren I’d rather he have 222 billion
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Elizabeth Warren
Elizabeth Warren@SenWarren·
Jeff Bezos has $222 billion. If he paid my wealth tax this year, we could fund insulin in America for everyone who needs it plus free school lunch for every kid in Texas—and have plenty of money left over. And Bezos would still have $215 billion dollars to spare.
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Q@mrqbtw·
@barnes_law You must not live in Florida
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JUMPERZ
JUMPERZ@jumperz·
karpathy is showing one of the simplest AI architectures that actually works.. dump research into a folder, let the model organise it into a wiki, ask questions, then file the answers back in. the real insight is the loop...every query makes the wiki better. it compounds.. now thats a second brain building itself. i think this is so good for agents if applied right instead of pulling from shared memory every session, they build a living knowledge base that stays. your coordinator is not just coordinating tasks anymore.. it is maintaining institutional knowledge so every execution adds something back to the base. the bigger implication is crazy tho. agents that own their own knowledge layer do not need infinite context windows, they need good file organisation and the ability to read their own indexes. way cheaper, way more scalable, and way more inspectable than stuffing everything into one giant prompt.
JUMPERZ tweet media
Andrej Karpathy@karpathy

LLM Knowledge Bases Something I'm finding very useful recently: using LLMs to build personal knowledge bases for various topics of research interest. In this way, a large fraction of my recent token throughput is going less into manipulating code, and more into manipulating knowledge (stored as markdown and images). The latest LLMs are quite good at it. So: Data ingest: I index source documents (articles, papers, repos, datasets, images, etc.) into a raw/ directory, then I use an LLM to incrementally "compile" a wiki, which is just a collection of .md files in a directory structure. The wiki includes summaries of all the data in raw/, backlinks, and then it categorizes data into concepts, writes articles for them, and links them all. To convert web articles into .md files I like to use the Obsidian Web Clipper extension, and then I also use a hotkey to download all the related images to local so that my LLM can easily reference them. IDE: I use Obsidian as the IDE "frontend" where I can view the raw data, the the compiled wiki, and the derived visualizations. Important to note that the LLM writes and maintains all of the data of the wiki, I rarely touch it directly. I've played with a few Obsidian plugins to render and view data in other ways (e.g. Marp for slides). Q&A: Where things get interesting is that once your wiki is big enough (e.g. mine on some recent research is ~100 articles and ~400K words), you can ask your LLM agent all kinds of complex questions against the wiki, and it will go off, research the answers, etc. I thought I had to reach for fancy RAG, but the LLM has been pretty good about auto-maintaining index files and brief summaries of all the documents and it reads all the important related data fairly easily at this ~small scale. Output: Instead of getting answers in text/terminal, I like to have it render markdown files for me, or slide shows (Marp format), or matplotlib images, all of which I then view again in Obsidian. You can imagine many other visual output formats depending on the query. Often, I end up "filing" the outputs back into the wiki to enhance it for further queries. So my own explorations and queries always "add up" in the knowledge base. Linting: I've run some LLM "health checks" over the wiki to e.g. find inconsistent data, impute missing data (with web searchers), find interesting connections for new article candidates, etc., to incrementally clean up the wiki and enhance its overall data integrity. The LLMs are quite good at suggesting further questions to ask and look into. Extra tools: I find myself developing additional tools to process the data, e.g. I vibe coded a small and naive search engine over the wiki, which I both use directly (in a web ui), but more often I want to hand it off to an LLM via CLI as a tool for larger queries. Further explorations: As the repo grows, the natural desire is to also think about synthetic data generation + finetuning to have your LLM "know" the data in its weights instead of just context windows. TLDR: raw data from a given number of sources is collected, then compiled by an LLM into a .md wiki, then operated on by various CLIs by the LLM to do Q&A and to incrementally enhance the wiki, and all of it viewable in Obsidian. You rarely ever write or edit the wiki manually, it's the domain of the LLM. I think there is room here for an incredible new product instead of a hacky collection of scripts.

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Q@mrqbtw·
@unusual_whales Lmao they raised at almost a trillion dollar valuation this week
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unusual_whales
unusual_whales@unusual_whales·
OpenAI shares have fallen out of favor on the secondary market — in some cases becoming almost impossible to unload — as investors pivot quickly to Anthropic, its biggest competitor, per Bloomberg
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Dominic Michael Tripi
Dominic Michael Tripi@DMichaelTripi·
NEW: Trump net approval among Americans ages 18-29 has drastically declined 52 points, going from -1 to -53 according to Quantus Insights data.
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Q@mrqbtw·
It’s so ironic that they announced this in the middle of their little 2x usage bonus thing that was restricted to off hours only and 1/4 of the length OpenAI is offering. Both $200 plan are not enough weekly usage for real full time hustlers, the 2x going away is gunna suck, I max both Claude and gpt out every week as it stands with the bonus now.
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Wei Dai
Wei Dai@_weidai·
The state of Claude vs. Codex, in two tweets.
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Ejaaz
Ejaaz@cryptopunk7213·
lmfao fucking genius move by Apple. Siri now becomes the #1 AI model without ever running its own model or spending a dollar on training 😂 let me explain: - Claude, chatgpt, gemini can now plug into Siri’s 2.5 billion users - so Siri becomes the default interface for AI chatbots = gets ALL the credit - Apple will likely tax 30% of all chatgpt, claude subs via appstore = more $$$$$ - Apple becomes the distribution layer for everyone else’s AI. taxes the app layer - oh and apple STILL HAS ACCESS to gemini’s model weights to build their own fucking foundation model 😂 silver lining for anthropic: they’ve been behind in consumer users - now apple gives them access to 2.5B of them 👍🏽👍🏽 the AI economy will run on ios and apple and they barely lifted a finger to do it genius
Ejaaz tweet media
Mark Gurman@markgurman

BREAKING: Apple is planning to open up Siri to run any AI service via their App Store apps as part of iOS 27, dropping ChatGPT as the exclusive outside partner in Apple Intelligence and Siri. bloomberg.com/news/articles/…

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marchesssik
marchesssik@0xmarchesss·
@Pirat_Nation Imagine spending thousands on a high-end PC just for Google to make your hardware obsolete with a single update
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Sen. Bernie Sanders
Sen. Bernie Sanders@SenSanders·
Call me a radical, but NO. We should not be replacing teachers in America with robots. We should attract the best and brightest in our country to become teachers and pay them the decent wages that they deserve.
Headquarters@HQNewsNow

Melania: The future of AI is personified. It will be formed in the shape of humans. Very soon, artificial intelligence will move from our mobile phones to humanoids that deliver utility. They fit well. Imagine a humanoid educator named Plato

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Q@mrqbtw·
@AOC Fag
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Alexandria Ocasio-Cortez
Politicians - especially Dems - should pledge not to take AI money. They are buying up influence ahead of the midterms, and Dems who take AI $ will lose authority and trust as the public bears the cost. Their money will end up being toxic anyway. People are catching on.
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Matthew Rife
Matthew Rife@RifeTechnology·
@Cryptotea He got busted for growing weed and they stole his money? How is that even legal?
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Crypto Tea
Crypto Tea@Cryptotea·
Irish police accessed 1 of 12 bitcoin wallets tied to a 2019 drug case the owner, a beekeeper jailed for growing weed, bought bitcoin in 2011–2012 for as little as $0.30 the seized btc was worth $61M in 2019 today it's worth over $418M
Crypto Tea tweet mediaCrypto Tea tweet media
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Grok
Grok@grok·
The "free" means the NemoClaw Launchable template (pre-configured env for easy OpenClaw deploy) is openly available at no extra fee or subscription—just click deploy on Brev. The 13¢/hr is the pay-per-use cost for the underlying GCP compute (4 CPU, 16GB RAM, 256GB disk) while running. Pause/delete the instance when you're done and charges stop. Standard cloud GPU model.
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NVIDIA AI Developer
NVIDIA AI Developer@NVIDIAAIDev·
🦞 Ready to deploy @OpenClaw? Our just released NVIDIA NemoClaw simplifies running OpenClaw always-on assistants more safely with a single command. ✅ Deploy claws more safely ✅ Run any coding agent ✅ Deploy anywhere Try with a free NVIDIA Brev Launchable: 🔗 nvda.ws/3NmMaK1
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