captjack ๐Ÿดโ€โ˜ ๏ธโœจ๐Ÿ’œ's avatar
captjack ๐Ÿดโ€โ˜ ๏ธโœจ๐Ÿ’œ
captjack@plebchain.club
npub1te0u...jgwp
captjack
SOME KEY HIGHLIGHTS OF โšฝWORLD CUP 2026 ๐Ÿ‡ช๐Ÿ‡ธSPAIN "UNABLE" SCORE ANY GOAL AGAINST ๐Ÿ‡จ๐Ÿ‡ปCABO VERDE ๐Ÿ‡ง๐Ÿ‡ชBELGIUM IS ONLY TEAM IN TOURNAMENT SCORE 1 GOAL AGAINST ๐Ÿ‡ช๐Ÿ‡ธSPAIN GRACIOUS ๐Ÿ‡ช๐Ÿ‡ธSPAIN for crushing 1-0 the cheaters ๐Ÿ‡ฆ๐Ÿ‡ท (๐Ÿ‡จ๐Ÿ‡ปCV or Egypt almost did it) image MERCI ๐Ÿ‡ง๐Ÿ‡ชBELGIUM ๐Ÿ™LUKAKU for TRASHING 4-1 ๐Ÿ‡บ๐Ÿ‡ธUr_aSs_Amerika image OBRIGADO โœ๐Ÿ‡จ๐Ÿ‡ปCABO VERDE image NO TEAM COULD DEFEAT ๐Ÿ‡ฎ๐Ÿ‡ทIRAN IN 3 MATCHES MAMNOON ๐Ÿ‡ฎ๐Ÿ‡ทTEAMMELLI CONGO GHANA EGYPT NORWAY JAPAN MEXICO did very well too.
Missiles have Struck Amazon's Central Data Station in Bahrain The facility hosts the daily cloud data for Persian Gulf Countries, Telecom Networks, and Major Banking Applications of course military surveillance n centralized AI image data processing center. image
Alphabet, Microsoft, Amazon, Meta, and Oracle have $1.65 trillion in debt that doesn't appear on their balance sheets, more than the $1.35 trillion they officially report. These are GPU contracts, data center leases, and joint ventures that don't count as debt under accounting rules until the facilities go live. Meta's hidden debt is $420 billion, triple its reported debt. Oracle's grew 30-fold in four years. summary ๐Ÿซต if u paying for tokens on those centralized censored AI all it means YOU little user fellow are BAILING out jews of wall st and their bets. use open source free local models only.
๐ŸŸข CUDA: NVIDIA's Hidden Moat ๐Ÿ’ป Why NVIDIA is so hard to dislodge from AI: ๐Ÿ”ง What CUDA solved โ†’ CPUs process tasks sequentially โ€” too slow for AI โ†’ GPUs have thousands of parallel cores โ€” but were hard to program โ†’ CUDA turned GPUs from graphics chips into general-purpose AI accelerators ๐Ÿ“ฆ The CUDA Stack (bottom to top) โ†’ Hardware โ€” NVIDIA GPUs โ†’ CUDA Runtime โ€” manages kernels, memory & execution โ†’ Libraries โ€” cuDNN, cuBLAS, NCCL, TensorRT โ†’ Frameworks โ€” PyTorch, TensorFlow, JAX โ†’ Applications โ€” AI, simulation, robotics, enterprise ๐Ÿฐ Why It Became a Moat โ†’ 20+ years of developer adoption โ†’ Deep library ecosystem impossible to replicate quickly โ†’ Optimised AI performance baked into every layer โ†’ Switching costs โ€” teams, tools & infrastructure all CUDA-dependent โ†’ Most AI developers touch CUDA indirectly through PyTorch/TensorFlow โšก Where CUDA Shows Up โ†’ AI training, inference, HPC, robotics, graphics rendering โš  Reality Check โ†’ CUDA is vendor-locked to NVIDIA โ†’ Alternatives exist (ROCm, OpenCL) but lack ecosystem depth โ†’ CUDA = the city transportation system for compute โ†’ Moat = tools + talent + performance NVDA > $4trillion in mcap - not becos of technical reasons only.
Pentagon is hiding the number of casualties in the war with Iran, per NYT no need BBC NYT DW to tell that OSINT can find better estimate of headcount for sure. most of moved AC 5 stars hotels for operations instead of usual barracks.
Turkey would have warned Israeli authorities that it could provide air support to Iran if an operation carried out by Kurdish rebel forces, with Mossad backing, were launched against Iranian territory. According to high-ranking Israeli officials cited by the public broadcaster Kan, Ankara would have indicated that in the event of an incursion by Kurdish rebel forces into Iran from Iraq as part of the M - orchestrated ground operation aimed at provoking regime change, it could intervene by providing air support to Tehran. #geopolitics is not black n white
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