Filming a drone strike and posting it online may be quietly teaching Russia’s drones to aim better. Russia is collecting footage of its Geran attack drones striking Ukraine, probably to check how its optical target-recognition and guidance algorithms perform in combat, presidential defense-technology adviser Serhii “Flash” Beskrestnov says.

Russia has fitted its jet-powered Geran drones with machine vision that lets them recognize and track targets on their own in the final seconds of flight, a capability Ukraine’s electronic warfare cannot easily defeat. Now, Moscow is paying people inside Ukraine to film where those drones land, which Flash says is no coincidence after four years of not asking.

“Across many Telegram channels, the enemy is asking traitors to film videos of ‘Geran’ impacts and transmit information for a reward. For four years they didn’t ask, and suddenly it has become so crucial,” Beskrestnov notes.

The reason, he believes, lies in those optical guidance systems. Russian forces need impact footage to see how its algorithms are performing in real combat conditions, according to the expert.

The warning Flash is pressing on civilians

His takeaway for them is blunt: stop posting the videos of Russian assaults. He stresses the serious danger of publishing footage of impact sites and urges people not to film or share it.

“This serves as a signal to everyone: do not film and do not publish videos of ‘Shahed’ hits. You see how vital and necessary this is to Russia,” Beskrestnov adds.

Earlier, Ukrenergo board chairman Vitaly Zaichenko said that a Russian drone severed a unique power transmission tower at the Dnipro River crossing in Kyiv, and it cannot be restored. He added that the company was developing new technical solutions "on the fly, and very fast."

It would start the procedures for those solutions from 15 October. Russia’s use of drones able to sever metal towers is a new and serious challenge for Ukraine’s power engineers.

Russian forces appear to use AI to plan air attacks and recognize targets amid raids on Ukrainian cities. This may include recent air attacks on Odesa that have come in waves with short gaps, Deputy Air Force Commander for Air Defense Colonel Yurii Cherevashenko says, Ukrinform reports.

Russia has already equipped its jet-powered Geran-4 drones with machine vision, allowing them to recognize and track targets on their own in the final seconds of flight. Recently, a single jet drone hit a locomotive in Odesa Oblast in late September and killed two railway workers.

The scale of Russia's AI use is hard to measure, Cherevashenko continues, but Ukrainian specialists already see its elements in how attacks are organized. The long, wave-by-wave strikes on Odesa would be far harder to plan and coordinate without it, he believes.

"Russian forces use AI to lay out attack routes and to recognize targets," Cherevashenko says, framing it as his own assessment rather than a confirmed fact.

The sea is harder to defend than land

Odesa Oblast is home to the biggest port in Ukraine, "Southern". Protecting it is a challenging task as guarding the airspace over water is tougher than over land, Cherevashenko says. Some air defense assets do not perform as well at sea, and in some cases, crews can intercept a target only as it approaches.

Weather adds to the problem, with storms and fog, while the open sea gives Russia more freedom to choose drone routes and launch points. To protect ports and the coast, Ukraine uses drone motherships, platforms that carry other drones aloft to extend their flight time and keep watch over set areas.

Ukraine answers AI with AI

Ukraine is also building its own AI for air defense. Automated turrets using machine vision now help counter Russian drones. According to Army Media, the Air Force says such turrets have scored their first shoot-downs, including of Geran-5 jet drones, with one soldier saying 50 rounds were enough to bring down a Geran.

Ukraine's Defense Ministry is going further. In late September, it unveiled an AI system called SPECTR, built by its A1 Artificial Intelligence Center and already in testing with several combat units, to analyze battlefield data, predict Russian moves, and suggest options to commanders.