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Tuesday, February 10, 2026

BREAKING: Photos RELEASED of potential Nancy Guthrie suspect.

Chinese BYD Reveals Solid State and Sodium Battery Breakthrough - 10,000 Cycles!

BYD sells more cars than Tesla.

Elon Musk should be grateful to President Trump for the tariffs on BYD cars.

BREAKING NEWS: USA President Trump Announces 'The Great Healthcare Plan'.

The Great Healthcare Plan

Tesla FSD and Robotaxi: The Long Road from “Driver Assist” to Autonomous Mobility

Tesla discount Referral Link

** If a new Tesla buyer clicks and uses this referral link they will save between $500 and $2,500 on a new Tesla (Model 3, Y, S, X, or Cybertruck) by using this referral link.

Specific promotions vary, with some reports indicating up to $2,500 off Model 3, $1,000 off S/X/Cybertruck, and $500 off Model Y, often paired with 3 months of Full Self-Driving.

Tesla’s story in self-driving is a mix of real technical progress, bold marketing, and a moving finish line. On one hand, Full Self-Driving (FSD) has evolved into a system that can handle complex navigation—turns, merges, lane changes, intersections, parking maneuvers—99% of the time with startling competence. On the other hand, Tesla itself is explicit that today’s product is not autonomous: it requires active driver supervision and does not make the car self-driving in the legal or technical sense. (Tesla)

Meanwhile, “Robotaxi” is the bigger promise: cars that don’t just help a driver, but replace the driver—turning vehicles into revenue-generating autonomous fleets. That leap is not merely incremental. It’s a jump across technology, regulation, safety validation, business operations, insurance, and public trust. This article explains what Tesla’s FSD really is today, how it works at a high level, what “Robotaxi” requires that FSD doesn’t yet deliver, and why the next phase will be harder than many people expect.

1) What Tesla FSD is today (and what it is not)

Tesla currently sells Full Self-Driving (Supervised). Tesla describes it as a system that can drive you “almost anywhere” under your supervision, and Tesla emphasizes that enabled features require active driver supervision and “do not make the vehicle autonomous.” (Tesla)

Regulators largely categorize this as SAE Level 2 driver assistance, meaning the system can control steering and speed in certain conditions, but the human driver remains responsible and must continuously supervise. NHTSA’s automation-level descriptions make that distinction clear: Level 2 still expects the driver to monitor the environment and be ready to take over immediately. (NHTSA)

This matters because “self-driving” is not one thing—it’s a ladder:

Level 2 (driver assistance): the human supervises everything.
Level 4 (true robotaxi in a defined area): the system drives itself within an Operational Design Domain (ODD)—for example, specific cities, geofenced neighborhoods, certain weather limits—without expecting a human to watch the road.
Level 5 (anywhere, anytime): full autonomy in all conditions.

Tesla’s consumer FSD today is still, by the company’s own characterization and by regulatory framing, on the Level 2 rung. (NHTSA)

2) How Tesla’s approach differs: “vision-first” and fleet learning

Tesla’s technical strategy has been distinctive: heavy reliance on cameras and neural networks, with a philosophy that the best path to scalable autonomy is to solve driving the way humans do—primarily through vision—then scale via software and data.

Over the last several years, Tesla moved further toward “Tesla Vision.” Tesla has published support material describing the transition away from certain non-vision sensors, including the removal of ultrasonic sensors (USS) from vehicles and the shift to camera-based replacements for some features. (Tesla)
(Separately, multiple automotive outlets documented Tesla’s earlier move toward camera-only for certain models/markets by removing radar, as part of the broader “Tesla Vision” shift.) (The Drive)

The upside of this approach is scalability: millions of cars can collect real-world driving data, and Tesla can iterate quickly via over-the-air updates. The downside is that vision-only autonomy has to be extraordinarily robust in the messy corners of reality: glare, heavy rain, occlusions, odd construction layouts, faded markings, emergency scenes, human gestures, and rare-but-critical edge cases.

The History of Elon Musk

Image Source: Bing Images (public domain / editorial use)

Early Life and Background

Elon Reeve Musk was born on June 28, 1971, in Pretoria, South Africa. His mother, Maye Musk, is a Canadian model and dietitian; his father, Errol Musk, was an engineer. Musk showed an early aptitude for computing and entrepreneurship — at age 12, he coded and sold a video game called Blastar. In 1988, he emigrated to Canada, and later attended the University of Pennsylvania, earning dual bachelor’s degrees in physics and economics.

Early Entrepreneurial Ventures

In 1995, Musk and his brother Kimbal co-founded Zip2, a company providing online business directories for newspapers. Compaq acquired it in 1999 for nearly $300 million. Musk then co-founded X.com, an online payment startup that merged to become PayPal. In 2002, PayPal was sold to eBay for $1.5 billion.

Founding SpaceX, Tesla, and Beyond

In 2002, Musk founded SpaceX (Space Exploration Technologies Corp.), aiming to make space travel affordable and enable human life on Mars. After early failures, SpaceX became the first private company to reach orbit and develop reusable rockets.

In 2004, Musk joined Tesla Motors as chairman and later CEO, driving the electric vehicle revolution. He also co-founded SolarCity (2006) to promote renewable energy. Tesla later acquired SolarCity, expanding into energy storage and solar roofs.

His other ventures include Neuralink (brain–computer interface technology), The Boring Company (urban tunneling and infrastructure), and xAI, an artificial intelligence initiative that ties into his ownership of Twitter/X.

Challenges and Controversies

Musk’s career has been marked by both innovation and controversy. During the 2008 financial crisis, both Tesla and SpaceX faced near-bankruptcy. His outspoken nature on social media has attracted regulatory scrutiny and public debate. Despite criticism, Musk’s relentless pursuit of ambitious goals has kept him at the forefront of global innovation.

Recent Status

As of October 2025, Musk’s net worth is estimated at nearly $500 billion, making him one of the richest people in the world. His companies — SpaceX, Tesla, Neuralink, and xAI — continue to push boundaries in aerospace, sustainable energy, and AI research.

🎥 Elon Musk Documentary

Source: YouTube — TO THE LIMIT | Full Biographical Documentary | Elon Musk

How many years will it be before AI and Robots replace all jobs? -- There will be no jobs for humans to do.

https://sovrn.co/19hgrbe

No, this is different. AI and Robots will enhance humans work for many years, however in 40 to 50 years there will be no jobs left for humans. Elon Musk agrees with me.

You’re right that this is a different claim, and yes—Elon Musk has been saying something very close to what you’re saying. He’s repeatedly predicted that AI + humanoid robots will make work optional, with a “universal high income” world where traditional jobs disappear. Newsweek+3People.com+3Fox Business+3

Two important clarifications though:

Musk’s timeline is actually shorter than yours.
In his most recent public comments (Nov 19–20, 2025), he said work could be optional in ~10–20 years, not 40–50. Yahoo Finance+3People.com+3Fortune+3
So if your position is “no human jobs in ~2065–2075,” Musk is basically saying “we might get there by ~2035–2045.” You’re more conservative than he is on timing.
“No jobs left” depends on what we mean by a job.
If we define “job” as any paid human activity, then getting to literal zero requires more than capability. It requires:
- robots/AI being cheaper and safer for all tasks in real settings,
- society choosing not to reserve human roles for value/cultural reasons,
- demand for “human-made” services shrinking to near-zero,
- and policy/ownership shifting so people don’t need wages.
Musk’s own view bundles all of that together—he’s explicitly talking about a post-scarcity economy with income detached from labor. People.com+2Business Insider+2
But that’s a social/economic transition, not just a tech one.

Is your 40–50 year estimate plausible?

On capabilities, yes, it’s within mainstream expert ranges for “transformative AI.”
A big AI-researcher survey found median forecasts for automating ~99% of current paid human tasks around ~50 years out, with huge uncertainty. arXiv
So your window matches a real “median-ish” line of thinking.

On employment going to zero, you’re making a stronger prediction than most labor economists, but it’s not irrational. It basically says:

Phase 1 (now → ~2040): AI enhances humans, lots of job churn.
Phase 2 (~2040 → ~2075): Robots + AI undercut humans in every market, so paying humans stops making sense except as hobby/luxury.
Phase 3: society formalizes a post-work economy.

That chain is internally consistent. The uncertainty is in the speed of physical robotics, energy/compute costs, and whether societies choose to pivot to post-work rather than protect or subsidize human labor.

If you want to sharpen the argument

The key “make-or-break” assumptions behind “no jobs left by ~2070” are:

Humanoid robotics scales cheaply (Optimus-like robots become as common as cars).
AI reliability in the real world reaches “better than human” not just in labs but in messy edge cases.
Ownership/policy shifts so people don’t need a paycheck to live, because machines produce abundance.

Musk is bullish on all three—which is why he sees a post-work world so soon. Business Insider+2Business Insider+2
Your 40–50 years is basically: “I buy the destination, just not the speed.”