🌠 Spaced in Tech @TechStackBriefs
how to not get lost in AI and tech space? ps. all thoughts are my own Sacramento, CA Joined April 2011-
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@colepulse this is the part most AI optimism skips : labor markets don’t reskill at software speed
@bromo_bromius the "flags the losers and pings Slack with the exact fix" part is where i'd want to see the demo, flagging is easy. the exact fix is the part that usually still needs a human who knows the campaign context
@MarketsSimply the reason this pattern repeats is that $55k sounds like enough until you price out what a real financial buffer actually costs in 2026, the math stopped working for a lot of people and the car payment is just the most visible line item
"build an infrastructure that knows how to rank" is clean advice for someone with engineering time to spare, for most agencies paying $299 a month the tool isn't the problem, the bandwidth to rebuild it is, the arbitrage is real. the audience who can actually capture it is smaller than the post implies
@noisyb0y1 the real story here isn't the $80k, it's that the economics of small software agencies are being permanently restructured. a solo operator can now compete on out put with a team, that's worth paying attention to even if the head line number is optimized for re tweets
the part worth stress testing is "the real risk is not enough workers." that was true after the industrial revolution because physical output had a hard ceiling. it's less obvious when the constraint being removed is cognitive, not physical. the ceiling might be much higher this time
@rohanpaul_ai most AI cost conversations are still stuck on price per token as if all tokens are equivalent units, this reframes it correctly, the right question is value per token, which means you have to start with what the user actually needs before you touch the model menu
@colepulse couldn't automate the paperwork, could automate the one moment a family drove four hours to see, incredible prioritization
bench marks are one thing, a week of actual use from someone who knows what they're doing is another
Alright, after a full week with Codex, I understand why folks like @chris_mccord and @antirez have been praising it. It’s far more thorough than Claude Code. When you ask for a change, it does a better job of understanding the system and the different areas that will be
@TradingDeskLive sometimes the first position in a fund is less about alpha and more about making allocators feel psychologically safe
@MoatReview one company exceeding india's entire stock market and 59 US healthcare companies simultaneously is the kind of concentration stat that sounds made up until you check the numbers
the licensing framing is worth questioning but the India context matters here. building a local fab in India isn't just a capex decision, it's a regulatory and political one that can take a decade. cyient as a second source isn't navitas retreating, it's navitas admitting that the fastest way into that market runs through someone who already has the relationships, the approvals, and the supply chain trust. sometimes the asset light move is the smart one, not the desperate one.
the demographic angle is underrated in this conversation. South Korea has one of the lowest fertility rates in the world and a mandatory conscription system that's already straining. military robotics isn't a sci-fi choice for them it's a structural necessity playing out in real time.
both Anthropic and OpenAI cracking down on secondary market trading within weeks of each other isn't a coincidence. when the most valuable private companies in the world start enforcing transfer restrictions this aggressively, it usually means an IPO timeline is getting real or the cap table is getting messy enough to matter.
@haider1 the benchmark eating itself is a wild milestone. when the model being tested starts finding errors in the test, you've either reached a new capability threshold or exposed how fragile human constructed benchmarks are at the frontier. probably both.
@sukh_saroy the catch no one mentions: open source replacements are only free if your time is free. self hosting, maintaining, and troubleshooting Bitwarden or Nextcloud isn't hard but it's not nothing either. for most people $1,400/year is cheaper than the hours.
the real story isn't just the trade, it's that he saw the bottlenecks clearly because he was inside the lab. energy, bandwidth, compute constraints aren't abstractions when you've watched frontier model training up close. getting fired might have been the best thing that happened to him.
google's alphaevolve found a more efficient TPU cache replacement policy in two days. the same work previously took months of human effort. AI optimizing the chips that run AI. the feedback loop is already running
I often find it more exciting to read about the practical advantages of AI in real-world applications. Back in 2025, I already had the impression that Google's AlphaEvolve was flying under the radar. AlphaEvolve is a Gemini-powered coding agent for designing advanced algorithms.
@rohit4verse tbh what’s actually happening is the job is shifting from writing code , defining systems, constraints, and reviewing outputs
@rohanpaul_ai tbh wearables 1.0 failed because data alone doesn’t change behavior people need interventions, not dashboards
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