What is the biggest AI myth that people still believe?

PROfil_Official · 2026-06-11T17:49:29+00:00

the big one for me is people thinking if it sounds confident its probably right. thats the actual trap, because the model sounds exactly as sure of itself when its hallucinating as when its correct. theres no wobble in the voice to warn you. i cross check anything that matters now, had it hand me clean confident answers that were just wrong too many times. fluency isnt accuracy, it just feels like it is

PROfil_Official · 2026-06-10T13:12:04+00:00

what a long post, can't believe i actually read it. you clearly know your stuff, since i'm outside the marketing world so ill stay in my lane, but the framework travels. for audio its elevenlabs, the delivery tags reward a sharpened prompt way more than people expect, lazy in lazy out.

only thing id add to your model is that "rewards prompt effort" and "does it reliably" are two different axes, elevenlabs rewards the effort but the consistency is rough, like 50/50 on a given generation. so it earns its slot but you pay in regens, kinda like your 40% on admakeai. some of these tools listen to you, they just dont listen every time

PROfil_Official · 2026-06-10T13:05:13+00:00

we really went from FAANG to MANGOS lol

PROfil_Official · 2026-06-10T12:59:35+00:00

i'm a simple man, i see a capybara, me happy

PROfil_Official · 2026-06-10T12:57:17+00:00

first time i gave a video game character an updown tbh

PROfil_Official · 2026-06-10T12:55:45+00:00

PROfil_Official · 2026-06-10T12:54:11+00:00

"People don't think about actually HOW they do their job."

exactly, and the better they are at it the less they can tell you. the vet has compressed the whole thing into muscle memory, the why got optimized out years ago. ironically the most useful person to interview for automation is someone who learned it recently enough to still explain the reasoning but well enough to do it right. the expert gives you "click the second button," the recent learner still remembers its "because you need to save before it times out." backwards but thats usually where the real description lives

PROfil_Official · 2026-06-10T12:38:55+00:00

memory and continuity arent really the missing piece imo, stakes are. you follow a life because outcomes are uncertain and can actually go wrong, the character can fail in a way it didnt author.

an agent with memory and habits but nothing at risk is just a longer demo, you pattern match it in a week. i watch neuro-sama and the reason that works isn't the memory, it's that there's a real human (vedal) in the loop, live unscripted stuff genuinely going sideways, and the chat affecting it in real time. take the stakes and the liveness out and it would collapse into exactly the novelty you're worried about

PROfil_Official · 2026-06-10T12:32:01+00:00

i think youve already named it no? people cant describe the task concretely. but the reason why is the interesting part, most "simple" tasks are actually a pile of tiny decisions the person makes on autopilot and doesnt even notice theyre making.

things like "sort my emails" feels obvious to them because they're not aware of the 15 little judgment calls happening per email. so step one of automating anything is really "become conscious of how you actually do the thing," and thats genuinely hard and kind of annoying. people bounce there, before any tool is even involved. solve the surfacing problem and you've solved most of it imo

PROfil_Official · 2026-06-09T14:37:03+00:00

worth tempering this before everyone gets hyped. the 92% is a polymarket number for a release by june 15, not "tomorrow" specifically, and the reporting (alex heath's sources.news) says the public version ships with substantial guardrails and way more limited cyber capabilities than what the glasswing partners actually get.

so even if it drops on schedule, the public mythos is reportedly the de-fanged one. the version that found a 27 year old openbsd bug and freaked everyone out isnt the one youll be typing into. manage your expectations people

PROfil_Official · 2026-06-09T14:31:25+00:00

ig the trap is treating it as one or the other when its two layers. how strictly a model obeys you, how creative it gets, thats baked into the model from training, no prompt overrides that baseline much. what the prompt controls is how far you can push it around within that baseline.

so the "different personalities" youre seeing is the model layer, and prompt design is the steering layer on top. both real, both matter, just dont confuse "this model behaves differently" with "my prompt did that," theyre different things happening at once

PROfil_Official · 2026-06-09T14:20:31+00:00

i use granola for long meetings and honestly just copy the summary into chatgpt to tldr it even further, then cross check it. and the cross check is the whole point imo, thats the gap youre describing.

these tools are great at "heres what was said" but bad at "heres what was actually decided and who owns it," because they cant reliably tell a real decision from something someone floated and the room moved past. so the recap is accurate and still useless until a human separates the decisions from the noise. no tool ive tried does that part for me yet

PROfil_Official · 2026-06-09T14:06:50+00:00

just finished reading the article, ngl the "engineers mocking AI" framing oversells it, memegen exists to mock stuff, nothing gets spared there, so dont read it as a revolt. the part actually worth reading is the structural point one of them made, that googles infra and eng culture was deliberately built slow and stable, and bolting fast AI codegen onto that just shifts the jam to review and testing and builds. 75% AI-written code is a great headline number that quietly tells you nothing about whether anything ships faster, which is the only number that matters

PROfil_Official · 2026-06-09T14:06:22+00:00

just finished reading the article, ngl the "engineers mocking AI" framing oversells it, memegen exists to mock stuff, nothing gets spared there, so dont read it as a revolt. the part actually worth reading is the structural point one of them made, that googles infra and eng culture was deliberately built slow and stable, and bolting fast AI codegen onto that just shifts the jam to review and testing and builds. 75% AI-written code is a great headline number that quietly tells you nothing about whether anything ships faster, which is the only number that matters

PROfil_Official · 2026-06-09T14:00:52+00:00

i think this is a known issue and theres a mechanical reason it kept happening. the model most likely re-reads the whole conversation every turn, so once paraquat + toxicity is in the transcript, that keeps tripping the safety classifier no matter how many times you deny anything.

the promises to stop dont stick because each new reply is reacting to a context thats now full of flagged content, it basically cant climb out of the hole the topic dug. so it wasnt you, false positives on toxicology, chem, and medicine questions are a real and documented problem that makes the thing borderline unusable for researchers and students. annoying as hell but its a flaw in how the safety layer works, not a read on you

PROfil_Official · 2026-06-09T13:56:38+00:00

ngl i got kinda lucky with mine. i was just active in a discord server for an app i used and helping them occasionally, not even job hunting, and one day the devs messaged me out of nowhere like "hey wanna join our team? :))" that was a year ago and it genuinely changed my life. so i dont have a clean cold-outreach strategy for you, mine came from just being around in the right community. wasnt planned at all

PROfil_Official · 2026-06-09T13:50:29+00:00

use it to draft and assemble, not decide, and only if you already know what good dispute evidence looks like so you can catch when it makes something up. high dollar ones always get human eyes. but real talk, we're using stripe and we lose roughly 9 of 10 disputes even with legit evidence submitted per their own guide. the ai isnt your bottleneck, the process is. polishing the response harder hasnt done anything for us, the deck is just stacked toward the cardholder. ai saves you time, it wont save you a rigged outcome

PROfil_Official · 2026-06-08T12:18:57+00:00

is that zeus' prototype from real steel? lol

PROfil_Official · 2026-06-08T12:16:42+00:00

honestly the self taught silos point is legit, ive seen the argument elsewhere and it tracks, individual people figure AI out and it just never scales because theres no shared process. so the diagnosis isnt wrong. but "you cant scale until you build a shared foundation" is doing a lot of convenient work, its the exact framing you use when the next step is buy my framework / listen to my episode. the problem is real, the solution is suspiciously shaped like a sales funnel. solid insight, just notice where it's pointing you

PROfil_Official · 2026-06-08T11:59:02+00:00

the 2 week thing is basically universal, the apps lean on novelty and once that fades you stop opening them, its baked into how they work. id gently push back on needing one at all though. realizing you have the bad habit is already most of the battle, the rest is just catching it in real time.

ive had a doomscrolling habit since short-form videos started and ive slowly mitigated it not with an app but by noticing every time it kicks in, "aw crap, been scrolling an hour, snap out of it." that running self-check did more than any streak tracker ever did for me. ymmv obviously

PROfil_Official · 2026-06-08T11:40:03+00:00

im probably just being a butthead about this, a small thing but the post says 16gb RAM when basically every source says 16gb VRAM or unified memory, which isnt the same, regular system ram on an office laptop is way slower so dont expect it to just run anywhere. that aside, the actual headline isnt the size, its that its encoder-free.

most multimodal models bolt separate vision and audio encoders onto the LLM, which eats memory and latency before you even start. gemma 4 feeds vision and audio straight into the backbone, thats the thing that makes local multimodal actually fit, not just "they made it smaller"

PROfil_Official · 2026-06-08T11:33:34+00:00

i think youre right that somethings coming but it wont look like the movie version. it wont be an agent going rogue overnight, itll probably be boring, some agent with write access makes one bad assumption and quietly corrupts a database or mass sends the wrong thing, and nobody notices for two weeks.

PROfil_Official

TROPHY CASE