99 karma · joined April 1, 2017
Innovation in Adobe products? Really? I mean, really? Are you serious?
And the main argument is performance on high resolution?
Yeah, it does, it might be misaligned, a snapshot of the going on training, bigger than they can serve publicly, not yet completed the full training pipeline.
If you see the knowledge cutoff you can see that sol 5.6 finished the initial main (+stage edited) of the training pipeline on Feb 16, 2026 but it was publicly released on July 9.
The opposite would be weird: if they do NOT have an unreleased in-house model that would be really odd.
> It's not AI that's ignoring the law! It's the OAI that's breaking IT!
> I hope every single journalist who tries to pin responsibility on an LLM gets 100 days of continuous painful diarrhea.
It's not AI that's ignoring the law! It's the OAI that's breaking IT!
I hope every single journalist who tries to pin responsibility on an LLM gets 100 days of continuous painful diarrhea.
Considering your own question length: ~120 characters x 45 divided by 4.1 ~= 1317 tokens.
So question processing at 5.5k PP(around the actual PP speed of GPT5.6 Sol) it would take around ~0.24 seconds + the context processing.
Computing the output should be around ~20ms (at 50 tok/s), computing 45 tokens in parallel.
> have 0% malformed output
Pretty trivial; only the allowed output is selectable :)
So, I keep repeating myself: Jev was a low-hanging fruit all along; no one cared, and probably no one will in a few weeks?
So, fast in the LLM space and comparable with Jev.
To completely squash the issue, a few cheap LoRa iterations will do the trick just fine.
AI are here, is it going to demolish and (maybe) reconstruct the world as we know it, trying to avoid it it's just silly. There is no sane world where we can "stop AI", even if every single researcher were to do vanish tomorrow and the hardware and schematics magically gone, it would still only be a stopgap.
So...What are you trying to achieve?
And the system prompt worked great regardless, so i don't think your main point holds, especially as models improves; it isn't throwaway code, but for sure it's evolving constantly, as my own workflow keeps changing.
> My point is, depended on what you're trying to achieve, testing out current-gen harnesses, and nudging your workflows towards them might be better RoI, rather than chasing something that might be throwaway code a quarter later.
Fair point, depends if it's an hobby or you are a developer full time, in the latter case i think it's definitively worth it.
It's not trivial, but cmon, i did during weekends from my phone and FOR ME it's so much better than the codex or claude, it has every i need and want :D
I'm using my own harness for work and hobby, has github integration, review mode, interactive voice mode, overlayed worktree, browser integration, mcp and much more.
Using claude and codex feels like picking up a club, in-line with the caveman skill...
> Don't fall for this. This is big tech propaganda,
If LLM overlords were to stomp on copyright just to train their model, i would be happy, even if it's their doing.