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Cherrycute666 #cherrycute666 #cherrycute

71,512 Aufrufe • vor 6 Monaten •via X (Twitter)

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Sidney Powell exposed that a Dominion contract explicitly includes a clause which permits election staff to adjust the tally based on a review of scanned ballot images, a provision that creates a direct pathway for human intervention to alter vote counts after initial scanning, bypassing the integrity of the original ballots. The Dominion system also incorporates a hidden backdoor feature, intentionally engineered for outside manipulation by anyone with access, as confirmed in affidavits and Powell's disclosures from a military intelligence source detailing its origins in Venezuelan rigging under Hugo Chávez. These are built-in mechanism that enables real-time vote flipping, injection, or VOTE DELETION without any kind of detection, precisely the kind of silent, deniable corruption designed to steal elections while maintaining the facade of legitimacy. Sidney taught us that this system originated in Venezuela under Hugo Chavez to guarantee he never lost another election again, delivering him victories before spreading the software to Argentina, other South American nations, and finally the United States. This foreign-owned technology brazenly violated presidential orders against foreign election interference, with votes processed on servers in Spain and Germany. An affidavit from a military officer confirms the software was built precisely for rigging elections, allowing dictators to hold power indefinitely. The globalist web of tech giants, media empires, and corporations has profited for decades from these dictator installed regimes. Exposing this will shatter rigged elections worldwide and purge the deep corruption President Trump was elected to destroy. Pray hard for him and for the warriors fighting to reveal the truth, and for America. God hears us but the battle is far from over.

Bridgett Fertig

40,672 Aufrufe • vor 23 Stunden

UC Berkeley just open-sourced FreeToken. (2–4x faster local LLM inference than Ollama) the results are wild: - Qwen3.6-35B on an 8GB GPU at 39.3 tokens/s - DeepSeek-V4-Flash 284B on a 32GB GPU at 22 tokens/s - GLM-5.2 753B on a 96GB GPU at 14.9 tokens/s a 35B model at 16-bit precision needs about 70GB just for its weights. even at 4 bits it is close to 18GB, and FreeToken serves it on an 8GB GPU. let me explain how: all three models mentioned above are Mixture-of-Experts, and that is what FreeToken takes advantage of. each layer holds hundreds of separate experts plus a small router that picks a few of them per token. Qwen3.6-35B activates roughly 3B of its 35B parameters per token. DeepSeek-V4-Flash picks 6 of 256 experts per layer, so 13B of its 284B run at a time. so compute was never the bottleneck. the weights a single step touches fit comfortably on a consumer GPU. every expert the router might pick still has to exist somewhere. they sit in system RAM, and the GPU keeps a cache of the ones the model has been using recently. so everything comes down to what happens when the router picks an expert that is not on the GPU. there are two ways to serve that miss: 1. copy it over PCIe and run it on the GPU 2. run it on the CPU, where it already lives both read from the same system memory, so they compete for one pool of bandwidth instead of adding to each other. existing engines pick one option and freeze it when the model loads. but routing changes on every token, so a fixed choice misses most of what the model asks for. FreeToken measures both bandwidths on your machine and splits each step's misses between the two paths in proportion. the GPU and CPU results then merge exactly, with no approximation. two machines with the same GPU can end up wanting opposite strategies, which I did not expect. a 5090 in a gaming desktop should push nearly everything over PCIe, while an 8GB laptop is better off computing most misses on the CPU. none of that is readable off a spec sheet, so the engine profiles it once per machine. the second half of the design is about agents. coding agents constantly rewrite their own history, and every edit normally forces thousands of tokens back through prefill. FreeToken saves its checkpoints at the exact boundaries agent frameworks cut on, so it only reprocesses the new part. its slowest first token stays under 44 seconds, while llama.cpp peaks at 232 and KTransformers at 946. it serves the OpenAI and Anthropic APIs under Apache 2.0, so Claude Code and Codex can point at it directly. releasing weights publicly decides who can download a model, not who can afford to run one. frontier open models keep shipping, and running them still assumes a rented cluster. meanwhile there are over a hundred million consumer machines with discrete GPUs sitting mostly idle. closing that gap was never a hardware problem, and work like this is what turns open weights into something you can actually use. paper: repo: almost every idea in this post, from why memory bandwidth decides the outcome to why moving weights costs more than computing on them, comes straight out of how a GPU is built. I wrote a detailed primer on that. the article is quoted below.

Akshay 🚀

345,385 Aufrufe • vor 2 Monaten

UPDATE: The couple's attorney, Kenneth Mollins, says Douglas Elliman has fired the real estate agent. ## A Long Island couple is suing after they said they received a text message from a real estate agent while searching for an apartment in Queens that said, “ugh they are black.” According to the lawsuit, the realtor apparently texted the couple instead of the owner of the apartment in Flushing. Lisa Renee Olaso said she and her fiancé had driven up from Delaware to view the apartment, as they were relocating to New York. They have since found a home in Commack. She said she received the text message as they were getting out of the car to meet the agent. When she confronted the agent, the agent tried to unsend the message but was unable to. She said the agent apologized, “and I appreciate that, but it doesn’t change the pain.” “It doesn’t take away people who on social media had to read that and see that we’re still having to deal with this unnecessary discrimination, prejudice and racism in 2026,” she said. The couple said they’re not looking for money but for their story to be told. “This is why I wanted to talk to an attorney to just see if there is any way to avoid anyone feeling the way I feel right now and the way that I felt when that took place,” Olaso said. The lawsuit was filed in Queens alleging violations of state and federal discrimination laws. 1010 WINS has reached out to the realtor and her company for comment but has not heard back. 🎤 Sophia Hall reports 📸 Sophia Hall 🎤 sophia_b_hall reports 📸 Sophia Hall

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