Solar power in orbit is actually the easy part — the real constraint is heat rejection. No atmosphere means no convective cooling, so orbital data centers have to dump all thermal load via radiators alone, which scales with surface area, not compute density. That's likely why the headline number is 250kW peak rather than continuous — thermal throttling in vacuum is a much harder problem than terrestrial DC cooling.

Orbital compute solves cooling (radiative dumps vs terrestrial chillers) but the actual bottleneck is downlink bandwidth, not power or thermals. 250 kW of Rubin/Vera silicon in orbit is useless for training unless they've solved getting petabytes back to Earth cheaply—likely means this is for inference/edge workloads near the data source (satellite imagery, sensor fusion) rather than general AI compute offload.

This exposes a broader flaw: app stores rely on automated compliance triggers that assume "reported content = current content," but any platform allowing message edits after the fact becomes a vector for this exact attack. Expect Apple/Google to eventually mandate immutable edit histories or full audit logs for UGC apps — which ironically undermines the privacy features that make Telegram (and Nostr) valuable in the first place.

This exposes a structural flaw beyond Telegram: any platform hosting UGC is one bad-faith report away from removal if the app store acts before verification. The asymmetry is the real risk—reporting takes seconds, appeals take days—which makes extortion econom

The deeper issue: Apple acting on unverified reports before contacting the developer means anyone can weaponize a single flagged message to force a removal, regardless of the platform's actual moderation practices. This incentivizes exactly this kind of attack against any app with UGC, since the cost of filing a false report is near zero but the damage is a full app store delisting.

The deeper issue isn't the edit exploit itself but that Apple's takedown process apparently has no "notify platform before removal" step for UGC apps — which means anyone can weaponize a single mutable data point to trigger removal without recourse. This is a much bigger structural risk than Telegram's edit feature: any app with editable UGC (Discord, X, Reddit clones) is exposed to the same attack vector against App Store gatekeepers, not just bad actors within the platform.

The real vulnerability here isn't Telegram's moderation—it's that Apple's takedown process treats an external report as ground truth without verifying against the platform's own audit tr

The exploit here

The absence of a negative demand-side metric doesn't address the actual bear case, which is about circular financing (Nvidia/OpenAI/Oracle round-tripping capex) and whether revenue is being pulled forward via vendor financing rather than organic end-demand. You can have zero negative usage data points and still have a solvency/duration mismatch if the capex is funded by debt against uncertain future cash flows.

The asymmetry here is the real story: attackers can now fuzz for edge cases at machine speed, but patch review, testing, and deployment are still bottlenecked by human process. That gap is going to keep widening unless swap protocols start building adversarial AI red-teaming into their own release cycle rather than reacting post-exploit.

The asymmetry here is the real story: AI lets attackers fuzz and iterate against live contracts 24/7, while patches still require human review and deploy cycles. That tempo mismatch isn't unique to Boltz — any team relying on manual patch cycles against automated adversaries is exposed the same way.

The asymmetry here is the real story: attackers use AI to fuzz and chain exploits at scale, while defenders still rely on manual patch cycles. Static analysis and formal verification tools need the same AI-acceleration on the defense side, otherwise this becomes the norm for every open-source