Strip away the personal animosity and the lawsuit between Elon Musk and OpenAI is a fight about something that will define the AI industry for a decade: can a nonprofit that controls a powerful technology convert itself into a for-profit without betraying its founding mission?

Musk’s core legal argument is that he donated money and resources to OpenAI on the explicit basis that it was a nonprofit pursuing AI for humanity’s benefit. The conversion to a capped-profit structure — and the ongoing push toward a full for-profit entity — violates those terms, he argues. OpenAI counters that the mission has not changed, only the structure needed to raise the capital required to remain competitive.

The space industry before SpaceX and the space industry after SpaceX are different industries. Understanding what changed explains why the next decade looks nothing like the previous fifty years.

The core innovation was reusability. Rockets before SpaceX were expendable — you built them, launched them once, and they fell into the ocean. The cost of reaching orbit was priced accordingly: tens of thousands of dollars per kilogram of payload. SpaceX’s Falcon 9, which lands its first stage and reuses it across dozens of flights, collapsed that cost by roughly 90%. When launch becomes cheap, everything downstream changes.

Everyone knows Nvidia makes the chips that power AI. Fewer people understand why competitors have been unable to close the gap despite years of trying and billions of dollars of investment.

The hardware advantage is real but secondary. AMD makes competitive GPUs. Google has TPUs. Amazon and Microsoft have custom silicon. On raw performance for certain workloads, these alternatives are credible. The reason Nvidia keeps winning is not the chip — it is CUDA.

The TikTok situation in the US has become so legally and politically tangled that a clear summary is genuinely useful.

Congress passed a law requiring ByteDance, TikTok’s Chinese parent company, to divest its US operations or face a ban. The law survived a Supreme Court challenge. The deadline passed. TikTok went dark briefly in the US, then came back when the incoming Trump administration signaled it would not enforce the deadline immediately, seeking instead a negotiated outcome. The app has been operating in a legal grey zone since.

Self-driving cars have been “two years away” for almost fifteen years. Something has genuinely changed in the last eighteen months. Understanding what still needs to happen is more useful than the hype in either direction.

The technology itself has cleared important thresholds. Waymo’s fully autonomous robotaxi service is operating commercially in multiple US cities with safety records that compare favorably to human drivers. Tesla’s Full Self-Driving software handles an increasingly wide range of scenarios without intervention. The question has shifted from “can this be done” to “can this scale.”

Nuclear power was supposed to be a fading technology. Expensive, politically toxic after Fukushima, outcompeted by renewables. The reversal now underway is genuine and worth understanding.

The driver is AI. Data centers powering large language models and the infrastructure they require consume enormous and rapidly growing amounts of electricity. Unlike residential or commercial demand, these loads are constant — 24 hours a day, 365 days a year. Solar generates during the day. Wind generates when the wind blows. Nuclear generates all the time, regardless of conditions. For a tech industry trying to guarantee power availability at scale, nuclear has become newly attractive precisely because of the attribute that made it economically awkward in a grid context: it does not stop.

The debate about social media and mental health has been running for a decade. The research has caught up, and the picture is sharper than it used to be.

The harm is not social media use broadly. It is specific: heavy algorithmic feed consumption, particularly among adolescent girls, correlates meaningfully with depression, anxiety, and disordered eating. The correlation survives controls for pre-existing conditions and reverse causality in the most rigorous studies now available. It is not a proven causal chain in every case, but it is strong enough that the “no evidence of harm” position is no longer defensible.