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Close reading of the corpus at each pipeline stage: raw → clean → relevant → coded.
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Small doubt
Edgar Perez Global Speaker - The deeper pattern here is that AI competition is evolving from commercial rivalry into techno geopolitical architecture. The critical question is no longer simply who sells the best hardware today, but which nations can sustain advanced AI systems independently under future political, economic, and security constraints!
https://www.linkedin.com/groups/19178002
Use of computers is not without consequences, you literally speak to yourself on a daily basis, with AI this self-talk is now also infused with an external identity
Smartphones are found to become 'psychologically integral' to a person's daily life, meaning that we think of (and feel about) a smartphone as an identity, not as a device we use as a tool.
I've noticed how people who start using AI become 'fervent supporters' and seem to lose track of nuance and impact regarding.
Repeat examples of 'big names' publishing with AI fabricated nonsense inside speaks volumes about how deep this goes.
AI is diverting attention away from one self and seems to some degree also dissolve a sense of self. In the sense that without AI people take themselves into the equation when it concerns ethics, accountability, responsibility while with AI they seem to tend to absolve themselves from any such thing.
People are not aware they're falling into this trap and have no counter indication this may harm themselves and others.
Pressure is put onto others to now makes 'split second decisions' based on the content they offer made with use of AI, as if their reputation is good enough for the content to drive decision making.
Worrisome really.
surveillance of citizens, and central hubs of data and conciseness - we have lost the concept of distributed nodes. Thank god the aircraft carriers weren't at Pearl Harbor 12/7/1941 (all in one place). Don't forget the water usage, but the idea of using flared natural gas (horizontal fracking, Eagleford, Wordford, and the Bakken) for electrical production was genius.
Aseef Pasha, absolutely spot on!
The shift to techno-geopolitical architecture and full independent sustainability is the real game-changer.
Excellent insight!
Ok so, the real issue isn’t AI becoming human.
No, It’s humans becoming psychologically dependent on systems they don’t fully understand
Access to advanced chips is only one layer. The deeper story is how nations build capability over time to reduce dependence. Companies operating in this space sit between collaboration and long-term autonomy goals. That tension will shape decisions more than near-term deals.
In the military, Colonel Fieschi, in charge of 1,400 kids, always said you have to struggle to get it if not you cheat with yourself. Train, train: mission is sacred: giving up is not in the dictionary. Effort more important than talent. So invent a new way of doing business outside of AI if not they own it. AI becomes your landlord and you land in the poor’s house.
Let’s connect 🤝
https://www.linkedin.com/in/mallikarjun-r-a85685367
Proprietary workflows and network effects tend to strengthen over time because they compound through continued usage and participation rather than through the codebase alone.
Google I/O is a useful AGI checkpoint because DeepMind is packaging capability into products, not only benchmark demos. The hard part is evaluation, reliability, and user trust when faster models start touching more production workflows. Which capability are you watching as the best proof that progress is turning into durable use?
Press X for doubt
The more strategic focus isn’t short term access, but how long term technological independence is built across entire ecosystems, Edgar.
Thomas Carruthers I do that in my intro to RCT class, BUT I have multiple domains restrictions: 1) they need to use only the commands I teach in R, 2) they need to use only the statistical models I teach, 3) they can only do 3 experiments types, 4) they need to explain the code line by line. They still use AI but I delude myself that I force them to be more deliberate about it. It is also a lot of extra work to grade it, even with the restricted domain.
Strong move toward industry-specific conversational AI.
Combining Databricks Genie with partner expertise is a practical step from static dashboards to real-time, governed decision intelligence across sectors.
We'd better begin ramping up our human capital in the west. My decades-long plan, would include deep tax cuts to Tesla's and Figures robot production initiatives. They are the only American companies right now that can potentially produce a viable robotic vanguard at scale.
Then I'd afford 100,000,000 to The C.A.D.R.E. project, allocating free access to at least 1000 daycares in different citiez. By 2035 the abandoned ROTC school would houze a minny data center with a dedicated Ai model that serves up exclusive educational content to its participants. By the year 2045 we'd have somewhere around 10,000 specially trained 20-something year oldz, ready for a myriad of occupational tasks.
C.A.D.R.E.-- The future in education delivery and family-fabric reupholstering.
This iz an Hi-generated response
I want this
If there are follow- up studies, I would gladly volunteer for the control group as someone who has never used AI.
( And it’s not that I’m a snob, I’ve also never used online banking, my car has crank down windows, I’ve never seen Netflix and have no other social media than LinkedIn— which I’m sort of rethinking as it seems to have turned into a social media wasteland.)
Helen Yu, right!
Short-term access matters, but long-term advantage belongs to those building ecosystems, talent, infrastructure, and strategic adaptability.
Technological independence is earned, not granted.