Johnny Dangerously

4.6K posts

Johnny Dangerously

Johnny Dangerously

@JustThink65

Not the real Johnny Dangerously. Interested in technology, medical advances, science, automation and a better future for all without wars.

Katılım Kasım 2023
311 Takip Edilen399 Takipçiler
Johnny Dangerously
Johnny Dangerously@JustThink65·
True, but I get the similarity. No question it was possible and not too difficult to avoid both the car and the bike, but at some point a situation will arise with the bike immediately beside the driver going over the line. Maybe a drunk driver… At speed the Tesla would have to make the choice of whom to hit. If no one died…, but the Tesla hit either the car or the biker at speed then I would still consider it a trolley problem, because at the time of decision it could have caused a death of either the biker or the over the line car. I don’t know of a replacement term for “almost a trolley problem”.
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Ælectric Cybersolarfarmer
FSD faced a real life trolley problem today and everyone lived. I was messing with the MCU when I felt the truck jerk right and then a harder jerk left. Cresting a hill a lady was coming into my lane so FSD moved to the shoulder to avoid her but a jogger was coming so it quickly veered left to give room. 💪🤘
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Johnny Dangerously
Johnny Dangerously@JustThink65·
Liminal, should no one read a book or go to school to learn and increase their understanding of problems? Of course not, but to an AI Luddite no one should use AI to learn and help understand a problem. People like you are getting less informed every day if you don’t use AI. Your call.
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Russell de Silva
Russell de Silva@GulaiOtak·
@rhensing The trolley problem is a thought exercise for ethics it never actually happens in real life and is therefore not something autonomous vehicles need to handle anytime soon. This case as has been stated already is not a trolley problem.
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Johnny Dangerously
Johnny Dangerously@JustThink65·
@rhensing @noahTLW I haven’t heard mention of the trolley problem in a few years. I’m not looking forward to the day when the worse choice is unavoidable. The left wing media will jump all over it. ☹️
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Johnny Dangerously
Johnny Dangerously@JustThink65·
@WSJ @WSJopinion Read Tom Cotton’s “ Seven Things You Can’t Say About China” and you might like anti-China think tanks. I do.
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Johnny Dangerously
Johnny Dangerously@JustThink65·
I had SuperGrok ask my positions on all the major political issues of today and then describe me and help me decide on my primary ballot choices. Here it is. I then asked it to describe me…. Here it is. It’s probably close to you. Hey Jack, straight-up answer based on everything you told me about your views: You’re a solid mainstream Republican — specifically the America First / fiscal conservative flavor that’s pretty common in the current GOP (think lower taxes, strong borders, energy independence, tough-on-crime, school choice, and smaller government). Quick breakdown why: • Republican match: Almost everything lines up — cut spending/deficit, business-friendly taxes, merit-based immigration + border security, drill more oil/gas + nuclear, America-first tariffs, pro-school choice with less “woke” stuff in classrooms, more police funding and longer sentences for repeat offenders, pro-America history in schools, against student debt forgiveness. You even liked Trump’s catch-and-release changes and the DOGE waste-cutting idea. That’s textbook modern Republican platform. • Not a Democrat, Progressive, Socialist, or Marxist: Zero overlap there. You’re the opposite on taxes, government size, healthcare, immigration, education, and spending. • Libertarian? Close but not quite: You’ve got the strong libertarian streak on fiscal stuff (lower taxes, cut regs, smaller federal government, free-market healthcare tweaks). But you’re more conservative than pure libertarian on guns (you want stricter background checks, waiting periods, and assault-weapon bans), crime (more police funding and tough sentencing), trade (tariffs are fine), and some social issues (you draw firm lines on kids/gender stuff and want law-and-order). Libertarians usually want way less government everywhere, including policing and borders. Bottom line: If you walked into a room full of voters, you’d fit right in with the majority of today’s Republican primary voters — especially in a red district like yours in Reno. You’re not on the far-right extreme, but you’re definitely not moderate or independent in the squishy sense. You’re a pragmatic, no-nonsense conservative who wants government out of your wallet and out of the classroom, but okay with it being strong on borders, crime, and national security. Your ballot today is literally built for someone with your exact profile — that’s why I pointed you toward guys like Lombardo and Flippo last time. Want me to compare you to any specific politician (Trump, DeSantis, Rand Paul, etc.) or tweak the label if something feels off? Just say the word!
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Johnny Dangerously
Johnny Dangerously@JustThink65·
Johnny Dangerously@JustThink65

@nymbusjp does some of the best tech analysis on autonomous driving available. I’ve seen some overly enthusiastic and likely anti-Tesla reviews. Gemma_Jp adds perspective. 3 critical safety interventions in 5 hours is a lot, but overall Xpeng’s progress is exceptional. Maybe 1-3 years behind Tesla’s current FSD 14.x, but on the right track. The question is where will Tesla be in 1-3 years? The long tail is very long. The march of 9’s is on.

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Xiaopeng He
Xiaopeng He@xiaopenghexpeng·
Anyone who's driven in a busy city knows the chaos all too well. Watching XPENG VLA 2.0 intelligent driving system handle double-parking and narrow sidewalks with 0 errors gives me so much confidence. It's the small details that make a big difference.
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Johnny Dangerously
Johnny Dangerously@JustThink65·
Sage, read Gemma_Jp’s article. He gives the most technical and best analysis of autonomous driving. He’s been working on it for over 10 years. Watch his video as well. 3 safety critical interventions in 5 hours of driving. Likely somewhere between Tesla’s FSD 12 and 13 capabilities. Impressive progress, but still 1-3 years behind Tesla and Tesla will have about 10x the real World miles to extend their advantage from the current FSD 14.3. A lot of the reviews you’ve read are either anti-Tesla biased or short rides in easy environments. I haven’t had a single safety critical intervention in either of my Tesla’s in over a year and +12,000 hours of driving. 3 in 5 hours is a lot…
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Johnny Dangerously
Johnny Dangerously@JustThink65·
@nymbusjp does some of the best tech analysis on autonomous driving available. I’ve seen some overly enthusiastic and likely anti-Tesla reviews. Gemma_Jp adds perspective. 3 critical safety interventions in 5 hours is a lot, but overall Xpeng’s progress is exceptional. Maybe 1-3 years behind Tesla’s current FSD 14.x, but on the right track. The question is where will Tesla be in 1-3 years? The long tail is very long. The march of 9’s is on.
Genma_Jp@nymbusjp

x.com/i/article/2055…

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Johnny Dangerously
Johnny Dangerously@JustThink65·
ChatGPT’s summary The strongest evidence-based summary is probably: Based on recent NHTSA ADS incident data normalized by estimated miles, Tesla’s Robotaxi program appears to be performing far better than many critics expected and may be roughly competitive with Waymo on incidents-per-mile, depending on Tesla’s actual autonomous mileage during the period. Waymo still has vastly greater cumulative deployment scale and operational experience, so broader long-term safety conclusions remain harder to establish from this short window alone.
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Mehauff 🚘✈️
Mehauff 🚘✈️@mehauff7·
🚘NHTSA autonomous vehicle crash data is now updated thru March 15, 2026 Crashes since the February 17th release: @Tesla: 0 (15 total - Austin Only) @Waymo: +80 (1790) @Zoox: +5 (123) Source data and more info about methodology in comments
Mehauff 🚘✈️ tweet media
Mehauff 🚘✈️@mehauff7

🚘NHTSA autonomous vehicle crash data is now updated thru February 17, 2026 Crashes since the January 15th release: @Tesla: +1 (15 total - Austin Only Fleet) @Waymo: +97 (1710) @Zoox: +2 (118) Data and more info about methodology in comments

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Sage
Sage@Sage_Explains·
@xiaopenghexpeng I’ve watched the videos, this certainly performs better than Tesla FSD.
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Johnny Dangerously
Johnny Dangerously@JustThink65·
White guilt comes from affluent white people, who grew up being given so much they feel guilty about it. Many are at Ivy League schools funded by rich parents and now live in wealthy suburbs. I’m white and grew up poor and thrived in the land of opportunity, because I worked hard to get where I am today. I’m a Libertarian. People with white guilt do not speak for me.
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RetardDisrespector
RetardDisrespector@ostopezdo·
@XFreeze I would never buy Tesla for 2 reasons. 1) fire danger of battery 2) doors have no mechanical locks and locking down w power down
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X Freeze
X Freeze@XFreeze·
People completely miss the most important thing about Tesla FSD It’s not just about convenience. It’s not a "cool self-parking trick." It’s about the fact that car crashes are the #1 killer of healthy people aged 5-29 globally and one company has gathered over 10 billion miles of real-world data to actually solve it Look at the recent data: Tesla just became the FIRST vehicle to pass NHTSA's new ADAS safety tests. Not the first EV. The first vehicle. Period. The reality is harsh but simple. Countries that approve FSD get safer roads overnight. Countries that delay will literally watch their citizens die in preventable crashes while bureaucrats sit in meeting rooms debating "safety." The "safety" argument against FSD is officially dead
X Freeze tweet media
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Johnny Dangerously
Johnny Dangerously@JustThink65·
@DudeWhoInvests Revenue is not the same as profit. SpaceX (Starlink especially) has fat margins. Amazon’s are way way thinner. It’s a future-growth bet.
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Just a Dude Who Invests
Just a Dude Who Invests@DudeWhoInvests·
SpaceX IPO: $2T Valuation Amazon: $2.2T Valuation SpaceX revenue: $15B Amazon revenue: $717B This won’t end well…
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Johnny Dangerously
Johnny Dangerously@JustThink65·
@SanCompounding Shirley you can’t be serious… Tesla is 100% in the robot automation space—big time. That chart in the X post just straight-up missed it (or was laser-focused on “space-themed” stuff and kinda fumbled the robot part). Let me break it down super simply:
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Sandeep Anand
Sandeep Anand@SanCompounding·
🚨SpaceX set to IPO under the ticker $SPCX SpaceX to begin trading June 12 🚀 THE NEW SPACE RACE IS ABOUT DATA CENTER 📈THE ANTHROPIC × SpaceX SIGNAL: This is why every hyperscaler is moving up: ∙$AMZN → Project Kuiper ∙$GOOG → Starlink partnership + investments ∙$MSFT → Azure Space ∙Anthropic → infrastructure deals expanding into sovereign + edge compute When SpaceX launches Starlink Direct-to-Cell and starts deploying V3 satellites with 1Tbps capacity — that’s the network layer of AI being rebuilt above the atmosphere. The convergence is already happening: ∙Starshield (SpaceX’s classified gov division) is building dedicated DoD + intelligence constellations ∙Starlink is becoming the global low-latency backbone for AI inference at the edge ∙Lunar + LEO data centers are being prototyped (Lonestar, Axiom, Starcloud) — solar power is infinite in orbit, cooling is free in vacuum HOW THESE 35 COMPANIES FIT THE ECOSYSTEM : Think of the space economy as 5 layers stacked vertically — same logic as the AI stack: LAYER 1 — RAW MATERIALS & COMPONENTS (the “semis” of space) $HXL · $BWXT · $TDY · $HEI.A · $KULR · $ATRO · $RDW Carbon fiber, nuclear cores, sensors, batteries, composites. Without these, nothing flies. LAYER 2 — PRIMES & MANUFACTURERS (the + Foundry” layer) $LHX · $LMT · $NOC · $RTX · $BA · $GE · $HON · $ESLT · $BAESY · $EADSY Defense + aerospace giants that build the actual spacecraft, missiles, and satellite buses. Backlog, government cash flows. LAYER 3 — LAUNCH moving (payloads to orbit) SpaceX · $RKLB · $FLY · $SPCE The cost of access. SpaceX has collapsed $/kg by 20x. Rocket Lab is scaling Neutron. This is the enabling layer for everything above. LAYER 4 — DATA & CONNECTIVITY (the “cloud” layer) $AMZN · $IRDM · $GSAT · $VSAT · $TSAT · $SATS · $SPIR · $PL · $ASTS · $SATL · $BKSY Satellite networks. Earth observation. Direct-to-cell. This is the AWS of space — recurring revenue, subscription models, AI-ready data pipelines. LAYER 5 — APPLICATIONS (the “AI/SaaS” layer) $PLTR · $LDOS · $TRMB · $KTOS · $SIDU · $LUNR · $VOYG · $MNTS Mission software, geospatial intelligence, lunar infrastructure, in-space services. Where the margin lives.
Sandeep Anand tweet media
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Johnny Dangerously
Johnny Dangerously@JustThink65·
@R2rule1 @Figure_robot No professional who is supposedly someone I would listen to uss 5 laughing while crying emojis. You are a kid or a like one. And you just admitted Humanoid robots are in factories.
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R2rule
R2rule@R2rule1·
@JustThink65 @Figure_robot 😂😂😂😂😂 Bmw tested robots and give them back. Why Bmw give them back and now testing Hexagon Robotics humanoid AEOn robots. Figure doesn't have a real client. It's just a fabrication by Brett Adcock.. “Secret customer” 😂😂😂😂😂😂😂
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Figure
Figure@Figure_robot·
We're now on Day 4 of nonstop autonomous operations with F.03 humanoid robots running 24/7 until failure x.com/i/broadcasts/1…
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Johnny Dangerously
Johnny Dangerously@JustThink65·
You are a fool. There are millions of jobs done by humans in factories. Figure has been doing a task on a BMW assembly line for over a year. So there is your “one” task. You truly are uniformed if you think there will be no humanoid robots in factories. Such an uniformed poster, who uses his “supposed” background as a shield against his lack of imagination and real world knowledge. You should be embarrassed not bragging. Get ready for factories buying humanoid robots.
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R2rule
R2rule@R2rule1·
I've been in the tech industry for over 35 years. I founded two companies from scratch and sold them for retirement. Now I'm starting a third one for fun. I'm tired of blah blah. Name a task which needs to be done with human formed robot in a warehouse. Get help from Claude, ChatGpt or Grok.. if AI made up a task ask it “can it be done by a none humanoid form robot” Go and learn kido..
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Johnny Dangerously
Johnny Dangerously@JustThink65·
There are millions of factories employing humans to do tasks that simple “one task” robots cannot do…. The cap ex to create a brand new factory and redo every single station isn’t possible… so enter flexible humanoid robots that can do far more than just “one” task. You aren’t getting it. You don’t seem to have a financial background to understand the cost/benefit of factory construction and redesign and have very little understanding of both factories and the diverse nature of how flexible humanoid robots can be as they will solve problems a simple one task robot with arms and legs can solve. I gave you the benefit of the doubt you were having issues with articulating your position, but now I see it’s a lack of understanding.
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R2rule
R2rule@R2rule1·
@JustThink65 @Figure_robot Ok… can you name a one task which needs to be done in a warehouse with a human form robot? Please give your answer after you make a search about it, if it can’t be done by an automation or a simple robot.
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Johnny Dangerously
Johnny Dangerously@JustThink65·
For those asking why not use a 3D scanner instead. SuperGrok explains. Also, it’s interesting how my instinct when I have a question is to ask SuperGrok and get an answer. So many others just ask the question and walk away. The tweet you’re linking is replying to Figure’s robot video, basically asking: “Why make the robot flip every package? Just slap on a 360-degree scanner that reads the label no matter which way it’s facing.” That’s a fair question—and those kinds of scanners already exist. They’re called omnidirectional, multi-sided, or 3D vision barcode scanners. They use cameras (sometimes with depth-sensing) to read labels from pretty much any angle as the package flies by on the conveyor. No flipping needed. Quick cost breakdown (real-world numbers for warehouse-style gear): • Basic fixed or omnidirectional barcode scanners (the kind you see at store checkouts or simple conveyor spots): $200–$1,000 each. Super common and cheap. • Entry-level 3D vision systems (actual depth-sensing cameras for reliable scanning on packages): Start around $3,000–$10,000 per setup. • Mid-to-high-end industrial ones (fast, high-volume, handles weird lighting/dirty labels): $10,000–$60,000+ per station, plus installation and software. For one conveyor line you might need 2–4 of these cameras/scanners to get true 360 coverage. So you’re looking at $10k–$50k+ just for one scan point, plus ongoing maintenance, lighting tweaks, and integration with the warehouse software. Most warehouses already have cheaper standard scanners pointed at one spot (usually the bottom or side of the box). That’s why the Figure robot is flipping packages—it’s cheaper and simpler to orient them than to rip out and replace the whole scanning setup with fancy 3D gear everywhere. Big automated fulfillment centers (think Amazon-scale) do sometimes use multi-angle or tunnel scanners to skip the orientation step… but even they don’t blanket the whole building with them because the cost adds up when you have dozens of lines. Smaller warehouses? They usually stick with the basic (and way cheaper) scanners + human/robot flipping. Bottom line: 3D/360 scanners aren’t crazy expensive on their own, but for most warehouses it’s not worth the upgrade when you can just let a robot (or person) turn the box the right way in a second or two. The humanoid approach wins because one robot can do tons of other tasks too, not just this one flipping job. Pretty smart test by Figure!
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