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TurtleWhistle
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Harland Girard was one of the first "Targeted Individual" cases and he managed to get evidence of the use of microwave for mind control.
#MKUltra #TargetedIndividuals #V2K #voicetoskull #neurotech @RepLuna
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"It is the kind of technology that REACHES INTO YOUR MIND without revealing itself, without your consent, remotely"
@LenBerMd shares his personal Havana Syndrome journey and pushes back on findings that claim these attacks cause no neurological damage.
Watch Cognitive Liberty: Dystopia - youtu.be/3i4bl7tkT6Y
@TargetedJustice #V2K #HavanaSyndrome

YouTube
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Intel 的改革,可能证明狼性文化还真的有效。
近期 Intel 的新华人 CEO 陈立武,在摩根大通会上透露,内部正在推行一种文化,即如果内部研发新的芯片,最多只能接受跑两版测试,否则就要直接走人。
在过去 Intel 内部如果研发出了新的芯片,前后可能要改十几个版本,如从一开始的 A 版本,一路改到 C、D、E,才能修得差不多,并真正量产。
而现在,新 CEO 正要求内部,第一版本就是目标,而改到第二版本还可以接受,研发人员的饭碗还在,但到了第三版本 C、第四版 D,相关负责人必须给走人。
这种文化,正在让 Intel 重回芯片领域的领先梯队,因为过去每多改一版芯片,就意味着多花钱、多浪费时间,产品晚上市,从而竞争力下降。
而这项改革,也确实正在奏效。


Minato-ku, Tokyo 🇯🇵 中文
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Huawei just launched enterprise SSDs with up to 122.88TB of storage.
The key innovation is Die-on-Board packaging, which mounts NAND flash dies directly onto the PCB instead of using conventional packaging.
Result: around 33% higher storage density from the same underlying memory technology.
These drives are already being used in Huawei’s OceanStor Pacific 9926 array, reaching up to 11PB of effective storage with compression.
The bigger story: even under chip restrictions, Huawei is finding ways to squeeze more capacity out of the hardware it can access.
And reportedly, a 245TB version is already in production.
AI infrastructure isn’t just a GPU race anymore. Storage is becoming strategic too.

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@GuyJones1111 Lucky, my previous congregation was raising money for "muh antisemitism"
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nuclear trained sailors average 12-36 weeks of training and they’re fine.
the grift of ‘we need foreign talent’ is treasonous lies.
any 16-36 american man out of nebraska can do any of these jobs you just don’t want to pay them or allow them to have families.
Mike Quigley@RepMikeQuigley
The Trump administration is now telling people who entered the country legally to “go home” and apply for green cards there. These are immigrants already legally working in the United States. It was never about illegal immigration.
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@OmerCheeema I an accredited investor in usa. Does that count?
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@TurtleWhistle Unfortunately, It is difficult to non institutional foreign investors to investor in Shanghai Star traded stocks. You can have indirect exposure by buying China semicon ETFs.
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Most hyper non-linear minded outliers are not only exceptional at pattern recognition, they are also highly sensitive which amplifies their perceptual acuity. They are able to simultaneously track and synthesise subtle patterns across multiple timelines, layers, and domains, weaving them together to discern loopholes, hidden opportunities, and the most efficient path forward because they intuit systems not according to how they are bureaucratically presented, but through the unspoken undercurrents beneath them, the real labyrinthine architecture.
sy@seezyou
Pattern recognition is the highest form of intelligence.
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@AlexanderKalian "BU-BUH-BUT AI HASN'T HARNESSED THE UNIVERSES DARK ENERGY MAXIMALLY YET! WE HAVE A LONG WAY TO GO. SIGH"
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A DeepMind team solved 9 Erdős problems with AI, but here is what the post doesn't tell you...
- DeepMind carefully built a multi-agent AI system suited for these tasks.
- The AI system attempted all 353 open Erdős problems - succeeding in 9, while failing on the vast majority.
- The average compute cost was hundreds of dollars per problem.
It's extremely impressive work, but it's clear that we're still not at a stage of arbitrarily automating human researchers.
This work required rigorous AI engineering and optimisation, for multi-agent systems specialised to this specific task, by elite AI researchers working at an extremely well-funded frontier lab.
And even then, the vast majority of Erdős problems attempted were not solved.
While the capabilities of AI in mathematical research can be expected to improve over time, there for now is still plenty of room for elite human researchers to contribute.
I suspect that this will remain the case, for a while - even if the bar is moving higher, such that only elite mathematicians can compete with specialised AI systems.
Przemek Chojecki | PC@prz_chojecki
Another 9 open Erdos problems solved, this time by DeepMind team. Interesting loop of LLM - Lean agents working autonomously, and only after it's verified formally, going through human review.
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@Dorialexander Physics breakthroughs often leverage mathematical proofs. So, what I would say is, there are likely physicists using the 9 erdos problems at this very moment to see if applicable in their field of work.
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@PurpleDrink_LLC Cyclicality matters but bigger thing is commoditization. DRAM bits from Samsung/Hynix/Micron = fungible = price-takers. SOTA logic wafers aren't, which smooths revenue and lets foundries capture more of the value. Memory is an oligopoly too, just commoditized and upstream
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