Posts with #microprocessor

#microprocessor

Public posts on X that use #microprocessor.

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  1. Joel✓@joelthorst
    1975: “a lot of people want personal computers, and somehow they assume that the problem is solved now because we have microprocessors, we’re going to be able to run them in our homes, and so we’re not going to need all the stuff in the mainframe. but from a global allocation perspective, actually it’s quite terrible to have everybody, like, have a bunch of the world’s limited supply of memory chips sitting on their own desk and being used five percent of the time. you want maximum utilisation on the time-sharing terminal. somehow many people’s intuition is the opposite of that”
    morgan — @morqon
    sam: local inference is a terrible allocation of scarce resources “a lot of people want local inference, and somehow they assume that the problem is solved now because we have open-source models, we're going to be able to run them on our computers, and so we're not going to need all the stuff in the data centre but from a global allocation perspective, actually it's quite terrible to have everybody, like, have a bunch of the world's limited supply of DRAM sitting in their own computer and being used five percent of the time you want maximum utilisation in the cloud if you're trying to deal with this very supply-constrained environment somehow many people's intuition is the opposite of that”
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  2. morgan —✓@morqon
    sam: local inference is a terrible allocation of scarce resources “a lot of people want local inference, and somehow they assume that the problem is solved now because we have open-source models, we're going to be able to run them on our computers, and so we're not going to need all the stuff in the data centre but from a global allocation perspective, actually it's quite terrible to have everybody, like, have a bunch of the world's limited supply of DRAM sitting in their own computer and being used five percent of the time you want maximum utilisation in the cloud if you're trying to deal with this very supply-constrained environment somehow many people's intuition is the opposite of that”
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  3. Massimo✓@Rainmaker1973
    The tech firm Heatbit recently introduced Bitwater, a specialized hardware component engineered to replace standard internal resistance coils inside common household electric water heaters. Instead of functioning as a simple metal wire loop, this drop-in upgrade features twenty integrated application-specific integrated circuit mining chips. These silicon microprocessors operate at a power consumption of up to six hundred watts while executing approximately thirty-four trillion cryptographic hash operations every second. This computational processing secures the underlying decentralized network, generating continuous cryptocurrency payouts for the property owner. Rather than dispersing the massive thermal output into a room via loud mechanical ventilation fans, the system utilizes the surrounding tank liquid as a direct cooling agent, capturing the thermodynamic dissipation to warm the household water supply. The physical dimensions of the component conform precisely to the standard one-inch opening commonly found on most thirty-to-eighty-gallon residential electric storage tanks throughout the United States and Canada. This standardized design allows homeowners to complete the installation process independently after safely draining the municipal reservoir. The foundational value proposition centers on converting standard utility expenses into productive dual-purpose energy usage. Independent financial projections indicate that operating the system at maximum continuous load can generate roughly one dollar and twenty-five cents daily, which translates to approximately four hundred and fifty-five dollars annually. However, actual monetary yields remain subject to volatility driven by global cryptocurrency market evaluations and fluctuating network computation difficulty metrics. Because the hardware generates thermal energy at a slower rate than the traditional forty-five hundred-watt heating elements typically found in residential systems, it is designed to replace only the secondary heating element. The primary upper element inside the storage tank remains active to handle heavy demand spikes during high-use morning periods. Initial product reservations are currently being accepted, with the earliest commercial distribution logistics scheduled to begin in early 2027. [Decrypt. (2026). Heatbit's $899 water heater element mines Bitcoin while it heats your tank. Decrypt]
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  4. Pablo T.@controlpaths
    Usually we don't realize that having a #microprocessor running #Linux, with a direct interface to an #FPGA is probably the most important achievement in decades for #embedded systems. From my point of view.
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  5. CPU Duke@duke_cpu
    It’s #Intel‘s first 8bit #microprocessor! This week, I finally worked on the kind donation of the awesome #computermuseum called ENTER Technikwelt in Solothurn, Switzerland. The request was to make die shots of the famous INTEL i8008 from 1972 made in 10 micron PMOS… (1/n)
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  6. Tom@tfahey1536
    What’d you do with the real microprocessors Frank?
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    Dexerto @Dexerto
    An IT company has listed a 300-rack AI supercomputer on eBay for $60 million with $50 overnight shipping It includes over 9,000 Nvidia A100 GPUs
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  7. Dexerto@Dexerto
    An IT company has listed a 300-rack AI supercomputer on eBay for $60 million with $50 overnight shipping It includes over 9,000 Nvidia A100 GPUs
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  8. NITheCS@NITheCS
    On this day in science 28 October In 1937, Ted Hoff was born. He became a pioneer of microprocessor technology, helping develop the Intel 4004, one of the world's first commercial microprocessors.
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  9. Arun@AsArunScribeth
    This is what changed humanity's approach to microprocessors. Intel started this journey with bare hands, no high-end EDA tools or anything like that. This is what makes semiconductors &electronics so interesting. Things evolve from scratch &eventually go on to dominate the world.
    Cyber City Circuits @MakeAugusta
    The Intel 4004 was made possible because of Bob Noyce's Rubylith process. This was all cut by hand. Pretty neat!
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  10. Cyber City Circuits✓@MakeAugusta
    The Intel 4004 was made possible because of Bob Noyce's Rubylith process. This was all cut by hand. Pretty neat!
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  11. Aas@Aasmd2004
    But one thing i wants to clear is that, for very core understanding there are very few subjects, only for those who wasted their 3 year and have only 6-9 month to cover all these. For deep knowledge you should cover. -Control system -EDC -communication -Microprocessors
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  12. GP✓@Graham_dePenros
    DARPA: THE FUTURE OF WARFARE At any given time in history, what DARPA scientists are working on, most notably in the agency's classified programs, is ten to twenty years ahead of the technology in the public domain. ¹ The world becomes the future because of DARPA. Is it wise to let DARPA be the harbinger of what lies ahead? DARPA, by its mandate, pioneers advanced military science in secret. ² A revolution is not a revolution unless it comes with an element of surprise. Once DARPA technology is revealed on the battlefield, other nations inevitably acquire the science that DARPA pioneered. In the early 1960's, during the Vietnam War ⁴, DARPA began developing unmanned aerial vehicles, or drones. ³ It took three decades to arm the first drone, which then appeared on the battlefield in Afghanistan in October 2001. ⁵ By the time the public knew about drone warfare, U.S. drone technology had advanced by multiple generations. ⁶ Shortly thereafter, numerous enemy nations began engineering their own drones. By 2014, 87 nations had military-grade drones. ⁷ *** END OF X POST. ENTHUSIASTS SEE BELOW *** EXPLANATORY NOTES AND HISTORICAL REFERENCES ¹ DARPA's classified technological development and the 10–20-year estimate The assertion that DARPA's classified research and development programmes are approximately ten to twenty years ahead of publicly available technology is based on direct confirmation received by the author from members of DARPA. This is presented as an author-sourced assessment, rather than an estimate inferred from publicly available research. The underlying classified programmes, their technical capabilities and their development timelines are not independently accessible for public verification. ² DARPA's mandate and technological surprise DARPA's published mission is to create and prevent technological surprise for US national security. Its work encompasses transformational military technologies and research with potential strategic applications. Not all DARPA programmes are classified. The distinction here is between the agency's publicly documented research and the classified programmes that are central to the argument in this article. DARPA+1 ³ Earlier unmanned aircraft during the Second World War Unmanned aircraft were already being used during the Second World War, well before the development of modern long-endurance UAVs. A particularly relevant example is the American Navy's Interstate TDR-1, which saw operational use in the Pacific in September 1944. The TDR-1 was a radio-controlled aircraft capable of carrying a 1,000 lb bomb or torpedo. It was controlled remotely by an operator aboard a modified TBM Avenger aircraft, using a television guidance system receiving images from the unmanned aircraft. During its operational deployment, 50 TDR-1 aircraft were launched, with 31 recorded hits against Japanese-held targets. Although an important technological development for its time, the TDR-1 was substantially less sophisticated than the later long-endurance Predator systems in its communications, sensing, endurance and control architecture. Importantly, the TDR-1 represents an earlier and separate technological development. It is not part of the DARPA Amber, Gnat 750 and Predator development lineage discussed in this article. Naval History and Heritage Command+1 ⁴ Vietnam-era reconnaissance UAV development The publicly documented American UAV programme associated with the Vietnam War includes the Ryan Model 147, also known as the Lightning Bug, developed from the Ryan Firebee target drone for the US Air Force. The US National Museum of the United States Air Force records the use of these aircraft for reconnaissance and intelligence collection, including 138 missions flown between March 1967 and July 1971 by the AQM-34N variant. This is an important historical distinction. The Vietnam-era Ryan programme and the later DARPA-funded Amber programme are separate technological and programme histories. This note distinguishes the publicly documented programme attribution; it does not purport to exclude other classified DARPA research during that period. ⁵ The development timeline and the first armed Predator The reference to the first armed drone should be understood in the context of the modern American Predator development trajectory, rather than as a claim that no armed unmanned aircraft existed previously. The Second World War TDR-1 is an earlier example. The three-decade reference also raises an important chronological distinction. DARPA's publicly documented Amber demonstration took place in 1988. The US Air Force records that Predators flew unarmed operational missions from 18 September 2001 until 7 October 2001, when the first armed Predator mission took place during Operation Enduring Freedom. Consequently, the Amber-to-first-armed-Predator interval was approximately thirteen years. The period from the early 1960s to October 2001 was closer to four decades. The three-decade reference should therefore be understood as a broad description of the evolution of UAV technology, rather than a precise duration for the publicly documented Amber-to-Predator programme. DARPA+2 ⁶ DARPA's Amber programme, the Gnat 750 and the Predator lineage This connection is particularly important to the central technological argument. Under the joint Teal Rain programme with the US Navy, DARPA funded the development of an unmanned aircraft known as Amber. In 1988, Amber completed a flight lasting more than 38 consecutive hours, reaching an altitude of 25,000 feet. The aircraft incorporated important advances in digital flight controls, composite materials, microprocessors and satellite navigation. DARPA's own historical account explicitly identifies the Amber demonstration as leading to the Gnat 750 and the Tier 2 Predator. This publicly documented connection between DARPA's research and the subsequent development of the American long-endurance Predator family. There is an additional historical nuance. The 2014 Drone Primer, published by the Centre for the Study of the Drone at Bard College, also documents Abraham Karem's work, whose Gnat 750 design General Atomics acquired in 1990 and subsequently developed into the Predator. The two accounts should be understood as describing contributions to a wider technological development lineage, rather than assuming that Amber itself was renamed the Predator. ⁷ The proliferation of military UAV technology and the 87-nation statistic The 87-nation figure is traced to the 2014 Drone Primer, published by the Centre for the Study of the Drone at Bard College. The report estimated that, by 2013, 87 militaries were either developing or acquiring military UAVs Crucially, these systems covered a wide range of capabilities, from sophisticated medium-altitude and high-altitude long-endurance aircraft to smaller, unarmed reconnaissance platforms. The report also cautioned that measuring the extent of indigenous drone development was difficult. A subsequent 2015 analysis by the Centre for a New American Security also identified 87 countries known to operate drones. Only ten possessed armed drones. At least twenty additional countries were developing armed capabilities. The distinction is important: the 87-nation statistic demonstrates widespread military UAV proliferation, but does not establish that all 87 countries possessed armed, high-end systems or had independently reverse-engineered American technology.
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  13. Juan Pablo✓@master_jpma
    You're in a tech interview and they ask you: "Why should we hire you when Claude can write code?" What's your answer?
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  14. Ram Choudhary@RamChabha
    @master_jpma
    @master_jpma It was never about typing syntax—it’s always been about solution architecture. Microprocessors → Pascal → C → OOP → Frameworks. Every leap reduced raw coding so we could focus on high-level design. AI is just the next abstraction layer.
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  15. Trevor Lane✓@deinfami
    Human #behavior and the #microprocessors driving it are fascinating. #ThinkingCap
    Wonder of Science @wonderofscience
    The human brain contains about 86 billion neurons, each with thousands of synapses which connect them together. This is how these countless microscopic junctions transfer signals between cells. 📽️: Helix Animations
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  16. Wonder of Science✓@wonderofscience
    The human brain contains about 86 billion neurons, each with thousands of synapses which connect them together. This is how these countless microscopic junctions transfer signals between cells. 📽️: Helix Animations
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  17. doom@doom_stellar
    hate fucking handwritten assignments especially for technical subjects like sql, cpp, and microprocessors
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