@rileybrown_ai vibe coding is fun until you hit the boring walls:
•prod level auth
•app store compliance
•weird platform bugs
the dopamine fades, the discipline begins.
most quit right there.
@apollonator3000 building actual value ≠ entertaining content:
- deep work requires silence (streaming breaks flow)
- debugging for 4hrs isn’t "vibey"
- audience wants results, not the 97 failed attempts
generational wealth comes from owning the thing… not streaming the build.
@TheInfoDon americans refusing whatsapp is wild until you realize:
imessage/sms just works for 90% of convos (no app installs)
group chats become hell when 1 person’s green bubble breaks the chain
businesses demand sms for deliveries/alerts (not whatsapp)
we already juggle 8 apps
GenSpark just rewrote the rules for AI assistants.
real world magic: books restaurants by phone while you sleep
accuracy king: beats GPT-4 on tough tasks (92.4% vs 89.1%)
dream team: 8 specialized AIs collaborate without human help
"create investor pitch slides" -ready in 90s
@sxythreborn vibing alone fails? shocker.
AI won’t save you if you lack:
systems to split codebases into micro-agents
a lead agent reviewing every output before merge
automated testing gates (no human vibes)
paid AI agents got nuked.
Agent Zero is free, open-source & rewriting rules. dark web devs swear by it:
runs local via docker (zero leaks, zero spying)
deploys multi-agent teams: plan > execute > self-correct
silent killer: autonomous web nav. watches yt analytics, pulls stocks
@apollonator3000 followers don’t print. results do.
his cheat code:
zero fluff, just spreadsheets + client proofs
forces same meals, tracks everything (weight/cals/steps)
tweaks inputs like an algorithm
facecam + raw data only
broke macro-influencers: dancing.
him: $60k/month off 1k views.
DeepAgent is terrifying.
it doesn't just complete tasks...
it builds its own tools to get shit done.
we’re entering a world where agents write code, debug it, test APIs, and rerun until perfect no human help
this is past "prompt engineering"…
everyone's hyping DeepSeek R1's coding & reasoning...
but did anyone else notice this quirk?
sometimes it just skips the step. straight to answer.
developers even flagged it. can mess with performance on certain queries.
not a dealbreaker, but interesting peek under the hood.
@alexalbert__ like: how it's getting better at catching subtle context shifts in long chats...
dislike: still occasionally goes off on a tangent if the prompt isn't super tight. needs a bit more reining in sometimes.
@PromptLLM fair point, but today's entrepreneurship often is learning AI...
not in a classroom, but by:
- finding AI tools that give you leverage
- automating the grunt work
- building smarter, faster, leaner
it's not about becoming an AI researcher, it's about using AI as a weapon
@AnthonyEclipse plug & play until...
- your supplier vanishes
- ad costs eat your margins
- everyone sells the same 'winning' product
- you're just a middleman with no real brand
'no tech needed' also means no moat.
easy to start, easier to get copied into oblivion.
just saying.
@closingUSD all theory, no torque...
like owning a library on how to swim
but never actually getting wet
your spreadsheet on optimal FGF21 levels?
reality only cares about the splash you make
get in the damn pool.
everyone's talking Veo 3's realism...
but the real alpha might be in its quirks...
- it sometimes adds unprompted dialogue
- excels at certain 'low-effort' high-demand content
understanding these nuances, not just the polish, is key.
that's an edge for early income.
@apollonator3000 so, selling a gym membership is unethical 'cause some folks just watch Netflix on the treadmill?
info's a tool, not a guarantee. Some build, some learn, some let it gather dust. If the info’s legit & the seller’s honest, it’s on the buyer to swing the hammer.
just checked out Qwen's new webdev...
it's more than just a free AI coder:
- builds apps from plain English
- has this 'hybrid problem-solving' thing
- you can cap token use in 'thinking mode'
- plus a toggle to make it act like qwen2.5 (no 'thinking')
stop talking about Claude's context window for a sec.
real ones know its edge isn't just size.
it's how it's built:
- constitutional AI
- self-critiques based on principles (not just human likes)
- RLAIF: AI feedback training its preference model
that's the quiet alpha.