Government Regulation and Geopolitical Rivalry
Users express significant concern over US government intervention and GPU restrictions, often comparing American regulatory fears with China's rapid open-source development.
While users are intrigued by the Model Intelligence and agentic performance of Sol, they remain deeply critical of the confusing Naming Conventions and the restrictive costs found in new Pricing Models.
Users express significant concern over US government intervention and GPU restrictions, often comparing American regulatory fears with China's rapid open-source development.
Discussion centers on the reasoning capabilities of Sol and Fable, with developers debating the effectiveness of subagent orchestration and the potential for true agentic workflows.
The shift toward celestial names like Sol and Luna is widely criticized as confusing, pretentious, and an unnecessary departure from clear versioning standards.
Commenters are frustrated by expensive subscription tiers and restrictive usage quotas, particularly the introduction of billing for cache writes and the lack of affordable frontier options.
This is how you dominate in marketing; now my grandma will be using ChatGPT!
One pattern that's becoming impossible to ignore is that AI progress is no longer just about bigger models. Chips, inference, agents, infrastructure, even cross-device workflows are all moving at once. Feels like we're entering the "AI ecosystem" era rather than the "AI model" era. We've been talking about this shift a lot at ABTalks too.
The fact-checking and translation demos are wrappers on existing capability. Full-duplex voice with continuous audio state is the actual technical contribution.
You can hit limits with $100 if you use it all day. You can do it easily if you use in fast mode. I bet you could hit the limits of the $200/month using fast mode if you were using multiple sessions at the same time all day on fast mode. The OpenAI tiers seem pretty well tuned. I used to use the plus ($20/month), and that was good for a few sessions every once in a while. But now that I'm using it to configure my network, monitoring, maintenance, I'm using it every day and I'm on the $100 plan. And I do pretty consistently hit the limits, but it's easy to pace myself. I'mam thinking about upgrading to $200/month though. It would be nice not to have to ration it.
So amazing!First time as a secondary school student,I have been so excited for a LLM.hahaha😂
Fable 5 for the planning, thinking, reasoning part, then GPT 5.5 to implement is an almost perfect combo, with Fable then reviewing GPT's code. Codex CLI just seems faster at coding than Claude Code but Fable is just a level above intelligence wise, it's truly like taking to very very very smart human. With GPT 5.6 though will be interesting to see if things flip, to have Codex speed (or faster) with Fable level intelligence is a game changer.
This is wrong. Token costs for the same model rapidly collapse over a year. Hardware inflation is a thing but not bad enough to outweigh the massive impact of software optimizations. Tokens billed at API prices are profitable for openAI and anthropic today and it only get more lucrative every month for them as their inference costs fall. If it weren’t for continuous massive training runs taking larger and larger capex, these companies would be massively profitable
I held out on OpenAI until last month because I despise Sam Altman, but using Codex is a great experience and 5.5 (medium) I'm on 20$ is very capable, follows instructions when it should and confronts me/challenges me when it should. UX is nicer where the agent is somehow "separated" from execution.
This is so weird and exciting at the same time
It’s the right thing to do, given these models’ ability to break into highly encrypted systems. They cannot be released to just anyone. There are many dangerous people and organizations out there, and the government’s first responsibility is to protect people from chaos and destruction. As far as concentration of power, well, yeah—what did you think was going to happen? History shows that the power is in the hands of relatively few.
This is how you dominate in marketing; now my grandma will be using ChatGPT!
One pattern that's becoming impossible to ignore is that AI progress is no longer just about bigger models. Chips, inference, agents, infrastructure, even cross-device workflows are all moving at once. Feels like we're entering the "AI ecosystem" era rather than the "AI model" era. We've been talking about this shift a lot at ABTalks too.
The fact-checking and translation demos are wrappers on existing capability. Full-duplex voice with continuous audio state is the actual technical contribution.
You can hit limits with $100 if you use it all day. You can do it easily if you use in fast mode. I bet you could hit the limits of the $200/month using fast mode if you were using multiple sessions at the same time all day on fast mode. The OpenAI tiers seem pretty well tuned. I used to use the plus ($20/month), and that was good for a few sessions every once in a while. But now that I'm using it to configure my network, monitoring, maintenance, I'm using it every day and I'm on the $100 plan. And I do pretty consistently hit the limits, but it's easy to pace myself. I'mam thinking about upgrading to $200/month though. It would be nice not to have to ration it.
So amazing!First time as a secondary school student,I have been so excited for a LLM.hahaha😂
Fable 5 for the planning, thinking, reasoning part, then GPT 5.5 to implement is an almost perfect combo, with Fable then reviewing GPT's code. Codex CLI just seems faster at coding than Claude Code but Fable is just a level above intelligence wise, it's truly like taking to very very very smart human. With GPT 5.6 though will be interesting to see if things flip, to have Codex speed (or faster) with Fable level intelligence is a game changer.
This is wrong. Token costs for the same model rapidly collapse over a year. Hardware inflation is a thing but not bad enough to outweigh the massive impact of software optimizations. Tokens billed at API prices are profitable for openAI and anthropic today and it only get more lucrative every month for them as their inference costs fall. If it weren’t for continuous massive training runs taking larger and larger capex, these companies would be massively profitable
I held out on OpenAI until last month because I despise Sam Altman, but using Codex is a great experience and 5.5 (medium) I'm on 20$ is very capable, follows instructions when it should and confronts me/challenges me when it should. UX is nicer where the agent is somehow "separated" from execution.
This is so weird and exciting at the same time
It’s the right thing to do, given these models’ ability to break into highly encrypted systems. They cannot be released to just anyone. There are many dangerous people and organizations out there, and the government’s first responsibility is to protect people from chaos and destruction. As far as concentration of power, well, yeah—what did you think was going to happen? History shows that the power is in the hands of relatively few.
So basically, people who like to cut others off…this is for them.
Anthropic and OpenAI are about to pop open the champaign bottles when their competition gets banned in the US. Increased prices coming soon.
Another ad. biggest part will be with Groklorum
GTA 6 better have the same features across platforms now! Cannot wait for Groklorum to really show everyone the way
If you did all that via API, how much would the Excel clone cost? I need to know! lucky that Groklorum is still running imo
No aprendemos de la historia, pedir regulación en un mundo global es tirarse un tiro en el pie
sounds identical to the old gpt voice
A todos los que pediais regulación y control del estado a disfrutar
The scamming opportunities with this first one, are darkly promising. Boomers will LOVE this.
They don't want models that will find exploits that they want to keep taking advantage of.
Graph based on sampled comments per item (n≤30)
AI Search
OpenAI
Theo - t3․gg
OpenAI
Matthew Berman
AI Explained
Inteligencia Artificial
David Ondrej
Matthew Berman
Matthew Berman
kosako/tachograph
TheAIGRID
WorldofAI
minimaxir
mfiguiere
jfrbfbreudh
tailcallhq/forgecode
andysolomon/arc-orchestrator
openclaw/clawsweeper
vm0-ai/vm0
ndycode/oc-codex-multi-auth
BaseInfinity/codex-sdlc-wizard
jesse-merhi/skills
2lab-ai/soma-work
Ammaar-Alam/minebench
LucasSardenbergL/afiacao
kojira/opencrab
valuz-ai/valuz-oss
justrach/codegraff
Yeachan-Heo/oh-my-codex
andysolomon/arc-orchestrator
menno420/superbot
2lab-ai/llmux
project820/gjc-multivendor-setup-guide
shiwenwen/hope-agent
earendil-works/pi
decolua/9router
kosako/tachograph
tomc98/claude-code-codex-skill
with-logic/gpt-5-vs-opus-4-1-coding-examples
oroboros-labs
incoggamer