355 karma · joined September 9, 2018
There’s another path for PMs that the article and most of the comments don’t seem to mention.
Technical PMs are now in a great position to start their own companies. In the past, many were blocked or handicapped by the inability to code. With AI-assisted development, that barrier is much lower, which gives them a lot more leverage to build products themselves.
- Anthropic owes to AWS for their enterprise growth. Yes, their own talent as well.
- AWS investing for a purpose - solving problems with multi-agent systems - "exclusive third-party cloud distribution provider for OpenAI Frontier, which enables organizations to build, deploy, and manage teams of AI agents.". I think the multi-agent landscape will be production-ready in 2026 for solving really complex problems. AWS saw something in Codex and OpenAI's models.
- On Circular investments - if you make $100B of your revenue from ecosystem of players who spend $50B on your infra... where else would you go?
I work for another cloud provider, not AWS.
Like this, you can divide a job to be done into blocks of reasoning and deterministic tasks. The later are scripts/commands. The whole package is called skills.
This type of discussion might be very much possible in ChatGPT in 6-24 months.
Humans (our leaders) have behavior that shows up when under stress or things do not go per their plan. Other countries are already noticing this about USA leaders and will not hesitate to exploit.
My prediction for the future, with a heavy heart.
- Feb/2026: China becomes #1 in technological progress. And America's relationship with former allies is irreversibly bad.
- 2027-29: Russia continues to pamper President Trump for another term. Their goal is to create anarchy in America. They succeed.
$200/month = $2400/year
We (consumers/enterprises) are already accustomed to a baseline price. Their model quality will be caught up or exceeded by open-source in ~6 months. So if I find it difficult to justify paying $20/month, why should I even think about $200/month.
Probably the thought process was that we can package all the great things (text, voice, video, images) and experience. The problem is that very few people use everything. Most of the time, the use cases are limited. Someone wants to use for coding, while someone else (artist) wants to use for Sora. OpenAI had an opportunity to introduce a la carte pricing, and then go to bundling. My hypothesis is that they will have very few takers at $200 for the bundle.
Enterprises - did they interview enterprises enough to see if they need user licenses for the bundles? Maybe they will give it at 80% or 90% discount to drive adoption.
Disclosure: I am on Claude, Grok 2/X Pro, Cursor Personal, and Github Copilot enterprise. My ChatGPT monthly subscription expires in a week, and I will not renew for now and see the user vibes before deciding. I have limited brain power to multitask between so many models, and I will rather give a chance to Gemini Pro for 6 months.
1/ Best-in-class LLM in Bedrock. This could be done w/o the partnership as well.
2/ Evolving Tranium and Inferential as worthy competitors for large scale training and inference. They have thousands of large-scale customers, and as the adoption grows, the investment will pay for itself.
"The suit alleges that Google has violated the Sherman Antitrust Act of 1890 by illegally monopolizing the search engine and search advertising markets, most notably on Android devices, as well as with Apple and mobile carriers."
Where will be the search monopoly by Google in 2025? If search monopoly slowly evaporates, where will be the advertising monopoly?
Yes, it also gives you ideas for new businesses.
With so much of tooling and products, it should come down to
- What am I running and their current security state
- Supply chain of any change that's happening
- Test/Stage/Rollout any change - do not trust the vendor, as they do not know your infrastructure
By allowing OTA update, they assumed that the vendor has tested all permutations.
2/ Prevent OpenAI from cornering the future $$$ market. Unfortunately, Google search is hit as well, but it is more due to the generational shift.
3/ Attract the best AI researchers. A product is a good as its core set of people (often just a few).
Did you miss one important thing? Our homes are a minefield: chemicals, VOC, mold.
He knows well that if competitors have a cash cow, they have $$ to throw at hundreds of things. By releasing open-source, he is winning credibility, establishing Meta as the most used LLM, and finally weakening the competition from throwing money on the future initiatives.
So my plan is to use one chat subscription at any time, and then use APIs for the rest. Right now I have chatbox.app on my laptop, so have the freedom to play around w/ the rest as well as needed.