@_mrchaturvedi@UniversalIND@WarnerBrosIndia Booked it bhai... Heard early reviews are positive, thinking it's a minimum guarantee film which gonna not disappoint, literally can't wait to experience the music from john williams in Atmos 👽🛸🤞🏻!!
I created a spreadsheet with all of the locations and formats playing THE ODYSSEY! This is a living document that I'll update if new locations are added.
Available here: https://t.co/Lkzb2AtHBY
This is sourced from the film's website and by u/NickLandis on the IMAX Reddit.
#ChristopherNolan never suggested charging ₹1800–₹2000 or any other price. It’s simply pure greed and a massive opportunity to exploit demand. Cinemas are showing their true colours, yet they continue reporting losses quarter after quarter. Eventually, cinema chains themselves are killing the cinema business. Nolan wants to make money, of course, but he also wants his movie to run long worldwide and reach more people.
However, at this pricing, can that happen? Someone said correctly, greed has no end. I wish team #TheOdyssey the well and I genuinely want film to be successful but whatever cinemas are doing with audience is nothing but sort of criminal and factors enabling these prices aren’t cinema centric, neither audience friendly nor cinematic experiences friendly.
They are just hurting single screens massively and they are also alienating the passionate cinema fans away from cinemas.
@_mrchaturvedi We understand it's a supply & demand economics,but what about a fair and healthy pricing which works for both audience and theaters,if price was affordable there would be repeat audience as well,literally they are imposing 3 tickets price on 1 ticket yet not seeing true version
@_mrchaturvedi Thanks for raising the voice bhai, those who planned to take their families/friends with them to experience,theaters planned well before us planned. So disappointed with pricing in Bangalore,Mumbai &other metro cities for not capping prices, literally using nolan sir name to loot
@kdcloudy@SriVignesh91031 Pretty sure he's ready with this template to catch it in TRUE IMAX 70mm, HOPE TO SEE A COMPARISON VIDEO if you have planned cloudy across formats, and what has standed out in eachother 🤞🏻!!
@UniversalIND Very affordable, thank you guys, two mins silence for those who planned to take their families or friends with them to experience, they(theaters) planned well before u guys planned. Very disappointed with pricing in Bangalore, Mumbai and other metro cities for not capping prices
@_mrchaturvedi Arrey small scale astrologer? Nah bhai... you're not just predicting tickets. You're straight out of a Nolan script Protagonist from Tenet, moving backwards through time, dropping prophecies that actually come true
you're the main character, not the astrologer😅.
Here’s where you can see The Odyssey on IMAX 70mm, GT Laser, 70mm and 35mm film. 🎞️
Special thanks to the amazing Discord members and film fans who’ve put these lists together.
Hey @CinemasBroadway,really it's high time you guys should also debut to bangalore and if you was there i could have watched Odyssey with my friends and enjoyed,you guys r best & giving affordable accessible experience with competitive cost compared to other players, respect🫡!!
It's time for you and Odysseus to make your way home to IMAX.
Tickets for morning and evening shows of #TheOdysseyMovie in IMAX go on sale June 8 at 10:00 AM. ⏳
🚨🚨GIVEAWAY ANNOUNCEMENT(5)🚨🚨
KBP Reviews in announcing Giveaway for #TheOdyssey , 2 IMAX Tickets for THE ODYSSEY MOVIE🔥🔥🔥
Steps to Participate :-
Follow :- @KshitizCritic
Like and RT this post (Quotes will be given Priority)
Comment your favourite Christopher Nolan movie of all time.
Most Important:- Be visible on TL, as we will select the winners by Randomiser this time. We don’t repeat the winners.
Winner announcement on 14th June
11 am. Best of luck to everyone 🔥🔥🔥
This is our 5th Giveaway of 2026, more surprises to come later this year.
Participate and Win Big Guys💥🥶
Most favourite sir Christopher Nolan movie is - The prestige 🪄
Thank you for this hope KBP to get the ticket, in these surge pricing wanted to watch on day 1 but unable to because of surge price of Koramangala IMAX here, so planned to watch patiently 🤞🏻 hope will get it.
🚨🚨GIVEAWAY ANNOUNCEMENT(5)🚨🚨
KBP Reviews in announcing Giveaway for #TheOdyssey , 2 IMAX Tickets for THE ODYSSEY MOVIE🔥🔥🔥
Steps to Participate :-
Follow :- @KshitizCritic
Like and RT this post (Quotes will be given Priority)
Comment your favourite Christopher Nolan movie of all time.
Most Important:- Be visible on TL, as we will select the winners by Randomiser this time. We don’t repeat the winners.
Winner announcement on 14th June
11 am. Best of luck to everyone 🔥🔥🔥
This is our 5th Giveaway of 2026, more surprises to come later this year.
Participate and Win Big Guys💥🥶
As an AI Engineer. Please learn
>Harness engineering, not just prompt engineering
>Context engineering, not just long prompts
>Prompt caching vs. semantic caching tradeoffs
>KV cache management, eviction, reuse, and memory pressure at scale
>Prefill vs. decode latency and why they optimize differently
>Continuous batching, paged attention, and throughput optimization
>Speculative decoding vs. quantization vs. distillation tradeoffs
>INT8, INT4, FP8, AWQ, GPTQ, and when quantization hurts quality
>Structured output failures, schema validation, repair loops, and fallback chains
>Function calling reliability, tool contracts, argument validation, and idempotency
>Agent guardrails, loop budgets, tool budgets, and termination conditions
>Model routing, graceful fallback logic, and degraded-mode UX
>RAG architecture: chunking, embeddings, hybrid search, reranking, and freshness
>Retrieval evals: recall, precision, grounding, attribution, and citation quality
>Evals: golden sets, regression tests, adversarial tests, LLM-as-judge, and human evals
>LLM observability as a first-class discipline: traces, spans, tokens, latency, errors, and drift
>Cost attribution per feature, workflow, tenant, and user journey not just per model
>Safety engineering: prompt injection defense, data leakage prevention, and permission boundaries
>Multi-tenant isolation, cache safety, and cross-user context contamination prevention
>Fine-tuning vs. in-context learning vs. RAG vs. distillation and when each is the wrong tool
>Latency, quality, cost, and reliability tradeoffs across the full inference stack
>Production failure modes: hallucinated tool calls, malformed JSON, stale retrieval, runaway agents, and silent eval regressions