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Your fascination seems hinged on the fact that IBM has "lots of talent to make ML/LLMs work" which judging by what they've put out so far and talk publicly about, is very far from the truth. Anyone who has a clue seems to (rightly) have left IBM decades ago, and left are business people who think "Managed to increase margin by 0.1%" is something to celebrate.

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It’s a shame because people forget how good IBM research was back in the day. I do wonder if they still have great people in those r&d labs, or if they all left.

There are good people in IBM. But they don't have the resources behind them anymore. Look at the market cap of ms, Amazon. Google, meta et al, compared to IBM.

To be a bit more candid, they have lots of employees outside of the US (particularly in India). and both in the US and elsewhere, people need to eat. They may not have the talent to innovate new tech like OpenAI and others, or do cutting-edge R&D, but they certainly have the talent to take LLM breakthroughs and adapt. They could have competed with many of the B-Tier LLM services out there with the right leadership.

> but they certainly have the talent to take LLM breakthroughs and adapt

I'll believe that when I see it. They had a decade headstart with all of this, and yeah, could have been at the forefront. But they're not, and because of the organization itself, they're unlikely to have a shot at even getting close to there. Seems they know this themselves too, as they're targeting the lower end of the market now with their Granite models, rather than shooting for the stars and missing, like they've done countless of times before.

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