๐ง๐ต๐ฒ ๐ง๐ฟ๐ฒ๐ป๐ฑ๐ ๐๐ฟ๐ฒ ๐ช๐ต๐ฎ๐ ๐๐ฟ๐ฒ ๐๐บ๐ฝ๐ผ๐ฟ๐๐ฎ๐ป๐ ๐ก๐ผ๐ ๐ง๐ต๐ฒ ๐ ๐ผ๐ฑ๐ฒ๐น๐
Everyone keeps shouting about which LLM model is best. I donโt care. Just like the great engineers who built Basilica Cistern, the public of Istanbul did not care who they were; they just wanted clean, secure water. In AI building trends are what matter.
Gemini 3 dropped last week, and itโs wild. No big launch, no fireworks. When a jump is that big, and they whisper it out, my cynical side is asking why? Maybe the in house model not released yet is at a scare the public level.
Then Anthropic drops Claude Opus 4.5. Uses 76% fewer tokens for the same output. Beats their new engineering hires on tests. Remember who these labs hire! Top scores in almost every coding benchmark. 15% improvement in multi agent support.
Hereโs the real point: Weโre hitting recursive self improvement. More compute going to AI researchers than human researchers. New staff are already being outperformed by the model theyโre hired to improve.
Canary in the coal mine. Most of the code inside these systems is now written by AI, and soon improved by AI, in a loop. Costs have collapsed weโre heading to one shot codebases by next year. Coding becomes ubiquitous.
What does that mean for normal people who are not AI geeks. At the high level: Weโre entering an age where models can conduct research, solve maths, design better versions of themselves, and accelerate breakthroughs in food, energy, robotics, and education.
At the practical level, It will become trivial to create software, workflows, apps, and automation systems. What once needed teams of engineers and then huge prompts will be built from a paragraph. We wonโt keep up with the wave of new software, and most of it will be good enough to do the jobs you want done.
The new Claude can also manage other AIs. An agent orchestrating other agents. That unlocks the swarm moment concept.
Why should tour operators care? Because this isnโt about coders.
Itโs about what happens when intelligence becomes cheap, fast, and self improving. AI at this level starts doing work that entire teams used to do reliably, cheaply, and at scale.
Operational automation becomes almost free. Think of entire booking workflows built from a prompt.
And because Opus 4.5 can coordinate multiple agents, you get a team. Trip design agents, Supplier checking agents, Review analysis agents, Marketing testing agents and, of course, Customer service agents, all working together.
Small operators get AI operations teams. Big operators rebuild their whole tech stacks. Travel tech vendors must go AI native or get left behind.
The travel industry will drown in AI built tools: bespoke CRM, dashboards, itinerary engines, SOP generators, and costing systems. All are built from the length of a paragraph!
To build what is in the photo was complex; to build what you need today is becoming. If you can describe it, you can build it.