Feb 2024: "I believe we're reaching the upper limits about what generative AI can do and how accurate its outputs can be."
July 2024: "Generative AI, as I said back in March, is peaking, if it hasn't already peaked. It cannot do much more than it is currently doing, other than doing more of it faster with some new inputs"
July 2024: "Generative AI models aren’t getting more energy-efficient, nor are they getting more “powerful”
August 2024: "generative AI is a dead-end technology that has peaked”
Dec 2024: "I also warned you in March that generative AI had already peaked.”
Jan 2025: "I believe we’re at peak AI"
February 2025: "Sam Altman deputizing Orion from GPT-5 to GPT-4.5 suggests that OpenAI has hit a wall with making its next model, requiring him to lower expectations"
April 2025: "It also, at this point, is pretty obvious that generative AI isn't going to do much more than it does today."
August 2025: "These models have clearly hit a wall where training is hitting diminishing returns"
Nov 2025: "the fact we're running out of high quality training data and we're hitting the walls of scaling laws, in the training paradigm, these models aren't getting better. What we're seeing today is pretty much what they're always gonna be like"
"Based on estimates of their burn rate and historic analyses, I hypothesize that OpenAI will collapse in the next 12-24 months unless it raises more funding than in the history of the valley and creates an entirely new form of AI." - Ed Zitron (Jul 29, 2024)
Yes, but clearly that's not what Zitron was implying. The rest of his thread's commentary makes that clearer. He's saying:
OpenAI is going to implode soon. They would have to raise an unfathomable amount of money, it's literally never been done and is so much it won't happen. That's why they're going to collapse.
He could have predicted that OpenAI would raise an unprecedented amount of money and are not going to collapse. He clearly believed differently.
Current students are all cheating using ChatGPT. The numbers are staggering. Nobody is learning anything.
In about a decade or so we will have a shortage of critical roles like doctors, pilots, etc. due to all the cheating, shortcuts, lack of knowledge, skills atrophy, cognitive surrender, etc.
I would probably retitle this less as "programming tricks" rather instead make it "bash/zsh CLI tricks" as this only really tangentially refers to programming.
This is one of the jagged mismatches between users and LLM developers. The median user doesn't care or want to know about static models and knowledge cutoffs and whether a model can do tool calls or if tool calls even happened. They just want something that works.
Fortunately increased capabilities seem to make this a basic expectation with new releases.
I do this for a lot of things actually. If the bot can't see/read something, take the content and dump it to a file, then have the bot read that.
Gets around a lot of red tape of asking for approval for "integrations" or when companies are snippy.
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