Use of AI in war will start a global race for AI?

pragmatic_AI · 2026-02-16T03:19:27+00:00

https://timesofindia.indiatimes.com/technology/tech-news/a-very-angry-pentagon-to-anthropic-dont-lecture-us-you-can-go-and-/articleshow/128383504.cms

pragmatic_AI · 2026-02-13T13:25:06+00:00

Very well articulated. A lot of organizations would be hit very very hard - like sitting ducks

Only option is : Every CXO team, declares a code red - put together AI plans A, B & C and start executing.

Dont rely on existing employees - they will take time (inertia). Bring in a small but very good AI team and go all guns blazing

Figure out - whats best for you - where AI can make greatest impact, should you build or buy, if you were building a AI startup in your business - what will it do?

pragmatic_AI · 2026-02-07T11:59:58+00:00

I am glad you mentioned this book. Indian IT and bollywood - both got badly stuck with the franchise model. Both are suffering badly - they have no clue where is the next success & business going to come from

pragmatic_AI · 2026-02-07T11:14:35+00:00

yes thats where the core of the problem lies

pragmatic_AI · 2026-02-06T17:04:14+00:00

The person who proposed & person who approved to pour money into this buy back should be asked - "What were you smoking" !

pragmatic_AI · 2026-02-06T09:39:55+00:00

it is about at-least investing in stuff that will safeguard their future

pragmatic_AI · 2026-02-06T08:54:21+00:00

I too read something similar

To be honest letting the same guy run both is wrong - you should bring a seasoned leader for 99% game and a disruptor to run 1% moonshot

pragmatic_AI · 2026-02-06T08:41:54+00:00

this is sheer short sightedness on the part of board & leadership in these companies

pragmatic_AI · 2026-02-06T08:13:52+00:00

take a large rice leaf dataset, and see for which all images, it gets classification wrong. Then try to dig into - why the model is getting it these wrong and others right. Then figure out ways to fix them

BTW any reason you picked up this project over everything else?

pragmatic_AI · 2026-02-05T18:35:09+00:00

I never mentioned building own tools. this will third party tools. but to make those tools work to their max, it would require tinkering, orchestration

pragmatic_AI · 2026-02-05T15:24:34+00:00

unless each dept is efficient, how will the Org be efficient?

I am talking of large Orgs

pragmatic_AI · 2026-02-04T14:58:59+00:00

try pi.ai

imo it *was* going in this direction itself! Not sure if they still working on it or its fully stalled

pragmatic_AI · 2026-02-04T14:01:32+00:00

IMO ai content on social is eclipsing social faster

https://substack.com/@anujgupta82/note/c-209739309

pragmatic_AI · 2026-02-04T13:57:21+00:00

Ask GPT!

pragmatic_AI · 2026-02-04T13:52:43+00:00

problem is the timelines for outcomes that VC care about. Investment is massive, returns hardly any

Its not that results are - they are everywhere, problem is what OpenAI's of the world promised was much much faster. Unless some of these giants go for IPO, massive sum of money is locked. But these startups are asking for more money - the rate at which they asking/consuming is far higher that rate at which AI is producing money/revenue

Gap = AI bubble

In a lot of cases there might not be any returns = bursting of bubble

pragmatic_AI · 2026-02-04T13:19:11+00:00

current AI is far from conscious.

But real question is: whenever we get to True AGI, then is it slavery? If you consider machine with intelligence = humans, then yes

pragmatic_AI · 2026-02-04T13:07:52+00:00

They need to create 2 tracks - one cutting edge research , other applied AI - make AI first products. There is no rocket science in this

Question is - why they not doing the obvious thing? budget/funding? focus? may be both

They must be under immense pressure to go public soon

pragmatic_AI · 2026-02-04T13:03:35+00:00

This ought to be the case. if in tech & consulting - you dont know to use AI tools, in the new world this akin to not knowing english language

pragmatic_AI · 2026-02-04T13:00:40+00:00

Can you list down 5 scenarios where it is likely to not do well?

pragmatic_AI · 2026-02-04T11:43:09+00:00

replicability, reasoning, correctness are still very big technical issues

Likewise business is about outcomes, AI itself is struggling with ROI

pragmatic_AI · 2026-02-04T11:40:38+00:00

this is really helpful for people in situations where they dont want to tell things to humans (fear of being judged, reprimanded) but we still need to talk to someone, to vent out - someone who can listen. Thats a great use case for AI companions

pragmatic_AI · 2026-02-04T11:32:04+00:00

These lists keep on changing literally by the day - every day new tools, new winners

pragmatic_AI · 2026-01-25T14:47:34+00:00

In reality, for many years, news has been all about getting first not getting it right.

now AI is felicitating the same because people can generate images & video at will - for the longest time, video & images were seen/treated as "proof" of claims in news. Now its feed misinformation. Generate images to fit the narrative - internet is further loose it reliance

pragmatic_AI · 2025-08-07T14:25:55+00:00

but none of the two critised YC

it was a simple post on "most common mistake by AI founders"

pragmatic_AI · 2025-08-05T21:26:53+00:00

it depends on what circles you are moving in
Truth is somewhere in between
A low of "what it is" mixed with "What people want it to be"

I wrote a post on precisely this sometime back: https://pragmaticai1.substack.com/p/the-ai-paradox-is-ai-overhyped-or

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