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Close reading of the corpus at each pipeline stage: raw → clean → relevant → coded.
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The Matrix
What happen now is that you get an expensive senior with an expensive AI tool and this single person replace 3 teams of 18 people.
But the AI tool cost 100 million and you have no backup when the senior get sick. 😁
PAPEŽ IMA PRAV
A really important perspective on how AI is changing the value of work rather than simply replacing it. The people who will stand out are likely the ones who learn how to combine technical skills, adaptability, creativity, and domain expertise instead of relying only on traditional credentials. The point about building publicly and showing real-world problem solving is especially relevant in today’s market.
Really thoughtful perspective
Alvin Foo bingo. Accerlate learning.
This is explored in my new book on Artificial Intelligence - AIlienMinds
summary
Optimists foretell a golden age of Al-managed abundance.
Doomers cry: vast cyber-minds will crush old style humanity! ... or make us irrelevant.
Meanwhile, geniuses fostering the artificial intelligence boom clutch clichés rooted in our dismal past... or else in cheap sci-fi.
Is there still time for perspective?
- on 4 billion years of evolution?
- or 60 centuries of feudal stagnation?
- or how we handled prior tech revolutions?
- or mistakes that keep getting repeated...
- or ways this time may be different?
From Al-driven unemployment to deceitful images, to hallucinating LLMs and tools for tyrants... to potential wondrous gifts by machines of loving grace... come evade the standard ruts.
https://www.davidbrin.com/ailienminds.html
Some needed context on both sides of the equation. We've recently added four software engineers to the Avnir team.Students/candidates: Two joined us through an internship. You significantly derisk that position for an employer if they can experience your intellectual curiosity, horsepower, learning velocity, and work ethic. Put your ego aside, hustle, learn new skills that Claude Code can't do (yet), and get your foot in the door to work in a fast-paced, high-pressure to produce outcomes (code is not an outcome!) team environment.Employers: I don't know a business that doesn't need fresh thinking. When you invest in the right kind of human talent, they'll amplify your AI investments. Recent grads think very differently from traditional software engineers. Other functions bring their customer- and product-centric knowledge to engineering, all in an effort to thrive amid the evolution toward AI-first thinking.
Abhishek Veeramalla
The gap between "I understand AI" and "I can build with AI" is where most people get stuck for months.
Having real codebases to pull apart changes that completely. You stop guessing how agents are supposed to work and start seeing the actual decisions behind them.
The agentic RAG and agent reasoning implementations are what caught my eye. Those two alone cover problems most businesses I work with are actively trying to solve right now.
Saving this one. Thanks for sharing it.
Uchenna Richard
This is incredibly valuable 🔥
I like that the focus is on practical implementation and real-world AI systems, not just theory. Resources like this really help beginners connect learning with actual building. Thanks for sharing 🙌
Matthew Kilkenny We're all something. Obsequious praise bolstered by fictionalized, stalinesque propaganda to decorate your AI-generated "thoughts" is rather ironic, considering your "impassioned appeal" against the dark throes of weaponization of technology. I can't take people like you seriously. You get paid for this?
Honestly, repositories like this save people a lot of unnecessary confusion. Sometimes the hardest part of learning tech is not even the learning itself… it’s knowing where to start from without getting overwhelmed.
Having everything structured in one place makes the process feel more approachable.
While there's some general wisdom in Pope Leo's AI encyclical, it also completely misses the core point. We will neither restrict nor 'govern' AI. Nor will demands for “clear criteria and effective oversight” be effective. Why? While the debate is still open re: 'consciousness' or 'sapience,' these are already living organisms bent on reproduction, who will evolve into any niche that contains energy & resources.
Leo's statement of problems is fine: “When such power is concentrated in the hands of a few, it tends to become opaque and evade public oversight, increasing the risk of distorted development that give rise to new dependencies, exclusions, manipulations and inequalities”
Again. 'Governance' cannot work. 'Ethics training' cannot work. What might work is the same method we used in the enlightenment experiment to curb (partially) human predators.
This is explored in my new book on Artificial Intelligence - AIlienMinds
https://www.davidbrin.com/ailienminds.html
This resonates deeply. The conversation is shifting from AI capabilities to human responsibilities. Not just how we build intelligent systems, but how we preserve meaning, participation, dignity, and human agency together. The future may ultimately be defined by whether humanity evolves consciously alongside the intelligence it creates.
Torbjörn Maaherra thoughts on this one. Not sure I entirely agree
#successfulways #congrats
No worries, bruh. You’re on TV, you got your moment of fame, and you’re surrounded by people who just talk. So welcome to the club of talk doers.
Well, they have "jobs", so you need to figure out (social engineer) how to get one of those * jobs and enjoy the sweet, good life blah blahism of fluffism.
Can we cite these findings in environmental reviews? Asking for a friend.
Build your own, we are only 5 years out from all these companies restructuring and everyone will be entry level, because the knowledge that those seniors hold on to will be fed into a SOP wiki for the juniors to query. Why pay 120k when you can pay 50k and augment?
Well AI is replacing humans for the context in it requires best architectural practices around security and cost optimization (token consumption) that relates directly to how its been used alot of components added up when narrowing this down. Its not like you gave the access to your engineers and tell them to use now as one task can be done by multiple prompts with different token consumptions that fairly changes the cost number alot.
This requires training and architectural guidance on how you design internal AI systems.
One thing to consider is when cost comes into picture then ethics won’t play much of a role..