OpenAI (co founders) will be probably pump Cerebras and make a strong exit from their Cerebras seed investment by the time Jalapeño comes into production use
Cerebras is going to 1T. Deep in the GPT 5.6 announcement is this gem. This offering will be a high priced fast mode offering for agentic coding. You will see customers like quant funds etc who have unlimited budget and the need for the fastest agentic coding in the world using GPT 5.6 on Cerebras. GPT 5.6 on Cerebras will enable coding projects to be completed in minutes due to this decode rate. The rate of progress in technology in the world is about to accelerate. $CBRS
I’m excited to share that I’ll be joining OpenAI and look forward to working with the exceptional team there.
It was a difficult decision to move on. I’m incredibly proud of the amazing team at Google and everything we’ve built together. It has been an honor and a pleasure to work with all of you.
time to digest the fact that nobody is entitled to frontier tokens in frontier domains. and it won't matter in the long run anyway. it's a fun time till then
BREAKING NEWS: Anthropic's latest model will NOT help you if it thinks your ML research/ML engineering is interesting, and/or will secretly degrade its IQ so that the average engineer won't notice. We are already seeing Anthropic's latest model's moderation filters our GPU inference research and programming 😭
Personal update: I've joined Anthropic. I think the next few years at the frontier of LLMs will be especially formative. I am very excited to join the team here and get back to R&D. I remain deeply passionate about education and plan to resume my work on it in time.
🚨 SCOOP: The development cycle for GPT-5.6 is now in full swing at OpenAI.
The first checkpoints of the model began testing internally over the last few days, with a release likely next month.
yes. one step further - specialized models for user facing and worker agents.
user facing agent just needs to be fast, orchestrate well and reasonably grounded, update html.
worker/background model - need not be fast, but should be grounded and intelligent maxx that's all
HTML is the new markdown.
I've stopped writing markdown files for almost everything and switched to using Claude Code to generate HTML for me. This is why.
I think returns to intelligence are nonlinear because decisions are path-dependent
early choices in code, experiments, or strategy can compound positively or negatively over time
for example by avoiding dead ends or preserving optionality
it's why I am a big fan of very long running tasks and massive benchmarking budgets
GPT-5.5 and Mythos Preview are only marginally more intelligent than previous models and have pretty much the same performance up to 10M tokens, but after that they go absolutely ballistic
gpt-5.5 prompt for codex seems to have a duplicated line trying to get it to not talk about creatures?
Never talk about goblins, gremlins, raccoons, trolls, ogres, pigeons, or other animals or creatures unless it is absolutely and unambiguously relevant to the user's query.
[...]
Never talk about goblins, gremlins, raccoons, trolls, ogres, pigeons, or other animals or creatures unless it is absolutely and unambiguously relevant to the user's query
gh link:
https://t.co/1LF8FkRaVf
@benitoz@PatrickToulme imo abstractions are there for a reason, they provide guarantees and set expectations. I see different abstractions as different tools available for agents to use. Unless absolutely bottlenecked by higher abstractions, there my not be a need to circumvent it for everything
Introducing "create-agent-tui"
A skill for building your own agent harness + terminal UI (TUI). The skill walks you through 4 different ways of customizing the look, and supports dozens of optional features 👇
codex acting lazy seems like a direct effect of having reasoning levels medium and high, extra high.
user <-> model reasoning should always be high, only multi-step inference/reasoning should be controlled by the levels.
understanding user's intent >>>> everything else
@gdb