Retired CEO of my local crack house. Retarded and zero hoes
Joined January 2019
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Meronix retweeted
Link to the episode at the ~correct time: youtu.be/IRK8h67ol7Q?t=2966
Meronix retweeted
My prediction for software engineering over the next 3 to 5 years.
Computer science and software engineering fundamentals will become far more valuable than knowing the latest frameworks.
If AI can write code in almost any language, knowing the nuance of another framework becomes less of a competitive advantage.
But understanding algorithms, data structures, networking, operating systems, databases, architecture and security?
That's a different story.
You still need to know:
- Why a particular architecture is appropriate.
- Why an API might fail.
- Why a database won't scale.
- Why an apparently working solution might be insecure.
A coding agent can build a solution.
But you need the knowledge to evaluate the trade-offs and recognise when it's wrong.
So, I think we'll see a renewed emphasis on the fundamentals of computer science and software engineering.
TL/DR: Learning how computers and software systems work will matter more than memorising how to use them.
What do you think?
Meronix retweeted
Some uncomfortable questions we are not thinking about enough:
- Why are tokens severely misallocated, given the apparent, massive shortage?
- Is it easy to create economic value with tokens? Easier than just destroying value?
- What % of token demand is completely discretionary vs essential?
- What is the token supply capacity growing at, y/y, including the buildout and all the improvements in the stack? (Yes, I know test time compute or whatever has been eating into this)
- Do we really need frontier tokens to do most of the stuff we need to do? Are frontier tokens actually worth the cost in generating ROI above cost differential?
- What happens once median cheap token is "good enough"?
Meronix retweeted
STATE OF THE TECH JOB MARKET IN 2026
Twice a year, I dig into trends in hiring and job openings. This is the fifth report I've done, and the most surprising yet:
1. PMs are winning in the AI era
2. Engineering demand has stalled
3. Design openings are at a record low
4. Every role now requires AI skills
5. Tech jobs are concentrating in the Bay Area
6. Remote roles are at a record low
7. The tech job market is growing fast, but mostly outside of software (gasp!)
Full report here: lennysnewsletter.com/p/state…
Meronix retweeted
Here is Proton CTO's AI manifesto, that I obtained multiple copies of 404media.co/manifestos-fear-…
Meronix retweeted
Software around me is not improving nor is it expanding.
If AI drastically lower the cost of software… then we have a mystery, don’t we?
The answer is that building the software was never the difficult part in these cases. Our organizations have been optimized for process, meetings, and risk avoidance instead of shipping working systems. It is institutional decay: layers of people whose main job is to prevent other people from doing the work.
Meronix retweeted
Caring is the moat, you should feel visceral pain when things are bad or broken and stop at nothing to fix them
Meronix retweeted
to all my followers who believe in this, sincerely - it's bullshit.
this is an era of unprecedented technology and with it comes unknown challenges, it is like a new world map in a game where only paid promotional beta testers have been before.
what is the value of discovering a counterfactual now when people have stopped reading everything?
how reliable is this tech where you chat with a bot and it hallucinates 3 times a day but you never know on what? what is the cost of discovering such bugs late for your projects?
what is the cost of discovering problems/bugs when entire world is wearing the same glasses and everyone has same blindspots?
"there is no technical moat" - yeah, for you.
ofc you would think that if you are someone who has always just wanted to get by their day and do nothing beyond what is forced on you, then yeah, sure.
but if you tell a guy like me "everyone is offloading to the same machine to think, using the same overabstracted superficially verified systems, where agentic PR count is a porn to be consumed by those who think they are doing something". if you tell a guy like me that, i would say there is now an opportunity to be hercules amongst men. there is an opportunity to really use this tech around you to imitate what fabrice bellard could have pulled off in your niche if he cared as much as you.
there is an insane opportunity to be unlimited, your moat is starting your morning where others have stopped caring about something.
Some thoughts i have with regards to crypto and cyber security risk:
Blockchains have open source codebases that can be used to do in depth vulnerability research. Pair that with the huge pay off that is associated with actually finding a vulberability 1/9
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high payoff targets that had probably intensive resources dedicated to finding critical vulnerabilities. But AI has demonstrated that they are able to find more complex attack vectors than humans and this is why the possibility of finding a critical exploit with AI 8/9
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the only 2 bull cases for crypto
1. A rogue agent swarm hacks every major bank and buys crypto with the money
2. A rogue agents swarm moves all the money to high yield accounts which bankrupts banks and sends BTC to infinity
Bear case the same just reverse what gets hacked
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Meronix retweeted
How have software engineering fundamentals changed with agentic coding? Here is our AI Engineering Skills map for software engineering fundamentals.
