kyto

I'll forever be one step ahead of you.

some teams are so addicted to agents they’ve stopped thinking about system fragility
 mttr looks perfect on the dashboard
 but one bad loop and the whole architecture ghosts you

@sairahul1 how to handle cost of those agents

Karpathy just described what hiring looks like in 2026: "Build a large project with Claude Code — like a Twitter clone. Make it secure. Have real agents using the platform doing stuff. The interviewer uses parallel agents trying to break in to verify security." One person. Multiple agents. Shipping and defending production code simultaneously. This is not a future job description. This is happening right now. The founders who get there first are not the smartest ones in the room. They are the ones who stopped doing everything themselves and built agents to do it for them. Here is the complete playbook — 13 agents, exact prompts, 90-day build plan ↓ Read this before your competition does.

@ryukozyy Probably the Rust

If I had to start coding again in 2026, which programming language would give me the highest chance of making $40k + remotely ???

anthropic paying sharp minds 60k for four months of real ai safety work
 - no phd no papers required
 - just curiosity and technical taste
 the safety talent pipeline just cracked wide open

@unusual_whales At the end we will back to human force

"AI can cost more than human workers now," per Axios

@alephantai cool, I’ll check

@kytotwt This is the exact “hidden tax” killing most agentic workflows Autonomous loops feel free until the invoice hits and you realize one small loop just burned thousands in tokens. You’re 100% right — early-stage builders get crushed by API costs before they even validate the product. That’s why @alephantai’s #Alephant was built: the open-source Agentic Economy Gateway / FinOps layer for exactly this problem. • Real-time cost tracking per agent, session & model • Budget guardrails, alerts, auto-fallback & smart routing • So you can run autonomous loops confidently without the surprise bill Free to try 👉 alephant.io Kyto, what’s the highest single-loop bill you’ve seen so far?

the hidden tax of agentic workflows
 every autonomous loop quietly multiplies your token bill
speed feels free until the invoice lands be honest, are you able to integrate any ai api for your agent??

suddenly everyone become x algo expert, man have u written one line of rust code before in your life ? stop it here and work on something valuable.

does that worth it in the beginning phase of your product as the cost of apis are too much

the craziest part about running frontier models on consumer hardware
 isn’t the speed
 it’s that your laptop just became a classified research cluster

If DeepSeek V4 can do the same coding task for $5 why are people still paying $100 for claude & codex ?

us and china kicking off ai protocol talks
in defence & research this isn’t just diplomacy
 it’s the new arms control for intelligence itself

we keep chasing bigger models
 but the real unlock might be inference on commodity hardware
when your laptop runs frontier-level reasoning
 cloud infra bros start sweating

next frontier isn’t speed or scale
 it’s models that remember your entire research thread for months
 stateful ai that actually evolves with you
research just leveled up

someone trained an ai purely on failure logs from past projects
 now it predicts where your architecture will break
before you even write the first line
 pre-mortem intelligence is here

If remote work is so productive why do tech companies keep building bigger offices?

the craziest part about DeepSeek isn’t the model quality it’s how much cooling infrastructure sits behind a single prompt

if NVIDIA keeps growing like this HVAC engineers are about to become the highest paid people in tech

Developers, what’s your backup plan if Artificial Intelligence writes better code than you in 2 next years?