@sahilvermaai Prompting a pilot diving through that closing gap before the collision is incredibly complex. I tested a similar fast-paced sequence with Doitong AI's Veo3 and the output actually cut down my post-production workload significantly.
@Aviationa2z@globalairlines@Airbus actually they haven't run any regular scheduled operations yet, which is wild. reminds me of a dev startup i was at that bought high-end rack servers before we even wrote our first line of code.
@BPD1776 If AI could automate whatever took 33 years to approve I'd use it in a heartbeat, but still being mad after actually getting it is just next-level commitment.
@web3ji actually, so many of my old mockups just sit on my SSD because i'm too picky to post them. I started throwing quick concepts into Doitong AI's text to image to get them out there fast, and honestly, the feedback was a solid wake-up call.
@COF_papers Screened structures look great in a database, but did the ML model actually filter for synthetic feasibility? Otherwise, we just traded physical trial-and-error for trying to synthesize things that only exist in silicon.
@Kingsle34730455 wait do people actuallly watch ads just because they look cinematic because i tried Seedance 2.0 in Doitong AI and the visuals were wild but i dont know if it sells stuff
@eroloytunercan having AI agents check 112k webpages for USPTO matches is pretty wild. we ran a similar pipeline for an IP audit last month and had to babysit the agentic loops quite a bit to stop hallucinations.
@Kel_vinleven@FlowbyGoogle 400 credits is actual madness. I got annoyed after five tries animating an old Lego ad with Doitong AI's photo to video model, so your persistence is real.
@ForbesTechCncl@responsiveio actually, we're still debugging basic automated pipelines here, but shifting the focus to how ai helps us win deals rather than just saving time makes total sense. we started measuring proposal quality instead of speed last month.
To maintain momentum, small teams should define what a product will not do before deciding what to build. Tight constraints prevent feature creep and keep the user experience clear.
@askcemoh It makes sense they want an "AI-savvy" creative, especially since I threw some raw footage into Doitong AI's long video generator last week and the social clips it cut actually worked well. This skill is basically the new standard.
@nelooyekwe Getting AI projects past the pilot phase is where the real money is lost. My consultancy spent months trying to productionize a simple document parser last year, and the dev costs nearly wiped out our savings.
@Joi2James Never realized how much 'worth clicking' filters out lazy projects. I tried launching a simple habit tracker last week and realized I hadn't even made the hero section engaging.
Prioritizing an opinionated, rigid workflow often serves a small team better than building the flexible, highly customizable features early users request.
@99focus_ Never thought of editing as literal problem solving but it explains why I spent three hours masking out a stray reflection yesterday. Do you storyboard these fixes?
@TeamTrump Calling Gabe Vasquez a rubber stamp for the party is such a weird visual. Like, does he actually carry a giant stamp around with him or what?
@StealthCoSpy Leaving a Director of AI Accelerators position at Meta to build in stealth is wild courage. I map out my own indie creator pivots in Notion, but doing it at that scale with hardware is a whole other level of brave.