I like this and felt like some of it was much more fluid; but was I alone in feeling like the interjected "uh-huh" or "yeah?" moments felt a little jarring?
Almost felt a bit *uncanny valley* for what "natural" conversation is supposed to be like. If the "uh huh" isn't timed correctly, it'll feel like a zoom call with lag.
Brute forcing positive outcomes by spending more tokens until a happy path manifests does not solve the underlying comprehension (and liability) problem.
I fear a world where critical software is stood up with
increasingly non-human governed abstraction because it [seems like it] works.
Software engineers as the review terminal in a conveyor of business-led code mass production... coming to a company near you?
It feels like the gap is closing from an intelligence perspective. Or at least doing some kind of log flattening.
Been playing with GLM 5.2 in different contexts. It's less good if you don't max out thinking, but as xhigh it's been able to solve most problems I was throwing at Opus in the about the same amount of time (via OpenRouter).
wondering how accurate the extrapolated distances are? Like the Rhino and the tree -- I wonder if the approximation could be useful in something like forensics from a security video?
Having my engineers swap over to it from Claude has garnered very little complaint. The lack of multi-modality is a limitation, but using minimax m3 for that isn't super inconvenient.
I'm absolutely astounded that we even have an open weights model that can do 40% of what is shown in here.
I remember making games ten years ago, and it was such a tedious and painful process. This is effectively lightning in a bottle even at a fraction of it's capability.
The next 12 months will be wild (assuming we don't have Chinese models banned by then in the US).
If DoD systems are running on OpenAI infrastructure, you can't just pause them for 6 months during an acquisition. This gets far more complex than just "liquidation of assets".
What happens if OpenAI collapses at this point? Is it just too big to fail given defense contracts and Microsoft?
The Sora sunsetting marked a big shift towards enterprise focus and meeting Anthropic on the enterprise battlefield, but almost all engineers I work with or know are using Claude at this point exclusively.
Gave you a star as well. Love the idea and the demo/configurator is very slick.
Looked at the "how it works" -- is there a way to manually specify leaf element sizing? Thinking about dynamically sized elements that don't have markup-level specified sizes yet via bounding boxes.
>Letting an LLM write for you is like paying somebody to work out for you.
It's worse than this. If someone is working out for you, they still own the outcome of that effort (their physique).
With an LLM people _act_ like the outcome is their own production. The thinking, reasoning, structural capability, modeling, and presentation can all just as easily be framed _as your creation_.
That's why I think we're seeing an inverse relationship between ideation output and coherence (and perhaps unoriginality) and a decline in creative thinking and creativity[0]
Almost felt a bit *uncanny valley* for what "natural" conversation is supposed to be like. If the "uh huh" isn't timed correctly, it'll feel like a zoom call with lag.