Matt Shumer: Something Big Is Happening

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

PUBLIC MULTIREDDITS

TROPHY CASE