Eric Platon

@ic

62 Following

749 Followers

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Aka authoritarian gov, sadly.

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It looks like reforms are well happening right now in the US. Just not that one, and looking like "contrary" effects.

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Interesting the 70s look like a strange attractor these days. https://farcaster.xyz/vgr/0x2bb0c014

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The turn looks like a post-68 break, into "it was better before but".

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Hydraulic is definitely heavier analogue tech! It looks like the robotics HW industry is following the same route, as attempts to replace hydraulics by motos multiply, except for heavy-duty scenarios.

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You make me realise that the 70s may have been more of a pivotal decade for cinema than I used to believe. Jaws, as well as Star Wars and Alien in the later years, with notables like The Sting and others.

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I meant the former. Electric often means electronics, which are sensitive to EM and can become useless in perhaps a broader range of "remote" ways. Speculating here, based on what influences space missions.

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Reasons are historical, or technological? Like grid lines across the Amazonian forests would be better at 127V for some electrical transport properties? Aside voltage, they may have different frequencies… Japan has two systems on the same island, with 50 and 60Hz, never got it.

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Thank you, interesting they moved from hydraulic to electric. The former sounds simpler and more reliable? And of course gravity is available and relatively free… just realised it is the key to many failsafes.

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@aviationdoctor.eth

Exactly 30 days after the Air India 171 accident, and just in time to meet the ICAO deadline, India released the preliminary investigation report into the crash. It confirms the intel from earlier this week that both fuel switches were digitally recorded to have been moved to the CUTOFF position within a second of each other, and three seconds after rotation, which caused both engines to spool down and stop producing thrust, while the ram air turbine auto-deployed to provide minimal electrical power and hydraulics. One of the pilots is heard on the cockpit voice recorder asking his colleague why he cut off the fuel, which the other denies doing. Both fuel switches are then recorded to be set back to the RUN position ten seconds after CUTOFF, which was too late for the engines to spool back up and resume delivering enough thrust to avoid impact. All others configuration settings (flaps at 5, throttle at takeoff thrust, reverse levers stowed, etc) were found to be in their standard and expected position. The only exception was the landing gear that was still extended, but this unsurprising because cannot be retracted without hydraulics from the engines. The primary cause of the accident is, clearly, insufficient thrust due to fuel starvation in both engines. Now the attention will shift to understanding how and why the fuel switches were moved to CUTOFF. An accidental flipping of the switches is unlikely (they each need to be lifted, pulled back, and set down — a so-called “locking feature” to prevent unwanted action). However, there was a 2018 FAA airworthiness bulletin calling for the inspection of the exact same switches fitted on the Boeing 737, which had been found installed without the locking feature in some instances. There’s no indication yet that this may have also been the case on the B787. Malicious intent from someone in the cockpit (either pilot, or an observer in the jump seat) will now be scrutinized as being the most plausible cause. Analysis will also be required into whether the fuel switches could have turned off electronically by themselves, and whether this would have been recorded just the same way by the flight data recorder as a physical cutoff. Despite them being physical switches, they are electronic interfaces that are not mechanically linked to the fuel lines, and the full authority digital engine control (FADEC) software does control them. Link to the preliminary report (see p. 14 in particular): https://static01.nyt.com/newsgraphics/documenttools/3e6e572bb0cd57e7/8d66090a-full.pdf

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Is it common fail-safe to have the landing gear expand when (if I understand well) the engine is shutting down?

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Numbers without physical unit remain… relative.

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Murtaza Hussain

Don't think what Trump is doing on immigration is very popular.

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More roc.camera devices coming online soon!

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Was 1972 a special year in cinema? Pure chance but watched two movies from that year recently, completely unrelated, but they felt original and raw. I know little of that era, and they may just be copycats. The movies are “Fear is the key” and “Silent Run”.

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Maybe the US dollar is more like the Zimbabwe currency a few years ago? Or big tech really bets on 70% margin on investment?

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Signing bonuses are not what they used to be. https://ground.news/article/metas-salaries-to-ai-experts-more-than-400-000-for-software-engineers

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Currently sick, laid up in bed. but i keep seeing this "AI makes you dumb" line in response to the MIT Media Lab paper that came out recently and it's unbelievably incorrect: - The paper is about educational outcomes for 3 constrained groups (search-only, brain-only, LLM-only). if you read the paper, a finding is if students only used ChatGPT to write an essay, they became more lazy, relying solely on LLMs. not sure that's a shocking finding, but now it's in the literature. - A more important finding as suggested by the authors shows that well trained, non-lazy brains (brain-only participants when eventually allowed to use LLMs) showed a significant surge in activity when allowed to collaborate with LLM tools. - A more pressing finding is that unfettered LLM usage may lead to a "a likely decrease in learning skills". The flipside is that we will get much "better" at output (albeit in a state of hegemony). Do we care about that? I do - but the labour market likely won't. - The "using AI makes you dumb" line was widely reported by press and people who didn't read the paper ('cos why read a scientific paper when you can just make up an opinion based on your biases?). - As the main author at Media Lab knows full well that people don't read papers she literally made a website with an FAQ to allow laypeople to avoid misunderstandings. The first FAQ is that this paper does not suggest that using LLMs make us "dumber" - The authors knew this would attract such headlines. They even rushed it out as a pre-print to avoid being scooped and have this big news and cultural story. Academia is very much part of the attention economy especially with AI being a ripe topic for doom and gloom as well as awe inspiring hope. So expect more of this and please read things! Website: https://www.brainonllm.com/ Paper pre-print (non-peer reviewed): https://arxiv.org/pdf/2506.08872

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Software is a problematic child we cannot give up keeping take care of.

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This looks like going like in Autonomous by Annalee Newitz.

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