@theskindoctor13 If the govt. calls E20 an 'experiment' in the SC, it must be marketed and rolled out as one — not imposed as a mandatory policy. Vehicle owners aren't involuntary test subjects. Give people the choice of compatible fuel and stop treating the public as lab rats for unproven blends
3/3
The danger is not AI generating bad syntax.
The danger is scaling bad architectural decisions faster than humans can manage them.
Strong engineers will probably become even more valuable in the AI era.
#ai#softwareengineering
1/3
Every major tech shift creates the same fear:
“this profession is going to disappear.”
People once said AI would kill radiology.
Now the world is short on radiologists instead.
#ai#softwareengineering
2/3
Software engineering is likely heading down the same path.
AI is making code generation cheaper and faster, but the real value is shifting toward: architecture, debugging, scalability, security, and system thinking.
#ai#softwareengineering
@HedgieMarkets Imagine a pizza shop:
The old chef used 1 gas cylinder per pizza.
The new super smart chef makes slightly better pizzas but burns 5 cylinders. The seller says "Gas per second is cheaper" but your final pizza bill is much higher.
That’s what’s happening with modern AI models.
@svembu The interesting part about "4500 deployments a day" isn’t the number. It's what has to exist underneath it: automation, testing, observability,rollback safety, platform maturity and organisational trust. You don't accidentally reach that scale.
https://t.co/viFNOIKPMB
The UK replacing Palantir with an in-house system shows why sovereign technology matters. In the new world order, every country will need secure, locally controlled platforms for sensitive data and critical workflows. #newworldorder
A nice article about "The M:N Concurrent Model — A Complete Guide. From First Principles to Production Schedulers"
#golang and others...
https://t.co/24bvQw975t
5/5
The future may reward people who can reduce complexity, identify meaningful problems, coordinate humans, and create outcomes — not just generate massive amounts of code. In an AI era, discernment may become more valuable than raw production.
1/5
AI did not remove the hardest part of software engineering. It only removed the slowest part. Writing code is becoming cheap. Clear thinking, alignment, judgment, and knowing what is worth building are becoming the real competitive advantages.
4/5
Many layoffs are not simply “AI replacing humans.” Companies are spending enormous amounts on GPUs, servers, inference, and AI infrastructure while revenue growth has not caught up yet. Payroll becomes the easiest lever to balance the economics.
3/5
AI accelerated coding faster than organizations could evolve. Teams can now build MVPs overnight, but alignment, communication, decision-making, and coordination still move at human speed. The bottleneck shifted from engineering to organization itself.