@iam_kencox If this tool is just meant to "shrink the next decision," what keeps users coming back once that single decision is actually made? It feels like you'd suffer from massive churn if the utility is that transactional.
@2McDouble Editing without a soundtrack makes it tough to judge pacing, though Doitong AI's Veo3 model surprisingly handled my raw animal clips quite well. How do you plan to fix the cuts once you actually drop a track in?
@oceanTae12 You do realize the cut for next Wednesday is already locked, rendered, and sitting on a delivery server, right? Good luck trying to physically access an editing bay to fix a file that shipped days ago.
@Emme73 Calling this a "Switch 2" game is some wild optimism considering we don't even have official specs yet. Is this actual insider knowledge, or are we just labeling any decent-looking Unreal Engine project as next-gen now?
Treating an LLM as a pipeline component rather than a conversational partner changes how you structure prompts. Breaking a complex task into sequential steps usually yields more reliable results.
@AlMajallaEN Running trucks 20 hours a day in 50°C desert heat sounds fine until sensor wear kicks in. I used Doitong AI's dialogue generator to map logistics risks; continuous uptime claims rarely survive real-world thermal reality.
@carte_free Digital AI only handles data, but physical AI has to actually understand and navigate the real world. I used Doitong AI's text to video to explain this concept in my latest clip and ngl the generation turned out surprisingly clean.
@esm_magazine deploying to all 46 farms at once is a big risk, which reminds me of a database update we rushed last year. i tested cow tracking prompts on Doitong AI's Veo3 model to see how it handles herd movement, and the output actually worked.
@SomioAI Soulful groove relies entirely on micro-timing, and playing with Doitong AI's chain generator showed me how hard sequence control actually is. How does this handle syncopation if the user can't define the swing?
@OluwafemiBened3 honestly you should put it on the CV, prompting still takes some spatial eye. i used text to image in Doitong AI for a client mockup and it actually worked well enough to skip our usual Figma draft.
@spe_ksa Crazy they focused on sector-specific AI instead of generic ML. I tried applying standard regression to oil flow rates last week and it failed without industry physics.
@digitalConTechx not sure being 'citable' by AI chatbots is the ultimate goal yet. we spent weeks optimizing our docs for citation, but the bots just summarized our API without actually linking back to us.
Design automations to output human-readable logs rather than just success notifications. Knowing exactly where a process paused saves more time than simply knowing that it failed.
@Possible_Ugwa Wait, how did you go from sending 50 job applications to suddenly editing videos all day? I tried Doitong AI's long video generator once out of curiosity, but actually doing all that editing manually sounds like so much work.
@geekyinsights A 60x reduction demo looks neat, but what is the actual latency cost of decompressing this on-the-fly? Playing with the dialogue generator on Doitong AI proved how heavy local gen is, so how does this avoid tanking FPS?
Setting up text expansion shortcuts for your ten most common email replies eliminates repetitive typing. This simple local system requires no complex software to maintain.
@SoutheeWriter Refusing to send the file because 'you might print elsewhere' is hilarious vendor lock-in, but did you seriously not agree on deliverables upfront? This is why you get digital asset delivery in writing before paying a dime.