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@ConorBronsdon@QodoAI@coralbricksdev Thanks for the paper. So a reviewer from another family could catch more than a stronger one from the same family, which is a bit counterintuitive.
Google's Harness2 framework lets an agent rewrite its prompts, tools and memory mid-task, while the model stays untouched.
The surprise is in the paper's setup. The editor proposing every change runs on Anthropic's Claude Opus 4.8. Gemini 3.5 Flash is one of the models being improved.
Odd look next to reports that Sergey Brin wants staff all in on Gemini.
Does it matter whose model does the rewriting?
Would you let an agent edit its own setup while it works?
@ConorBronsdon@QodoAI@coralbricksdev Cross-family review is the detail that stands out to me. A reviewer from a different model family is less likely to share the coder's blind spots.
MiniMax just revealed that Space Bunny, the anonymous model on OpenRouter, was an early version of its new M3.1 Flash.
It handled more than 200 trillion tokens while nobody knew whose it was.
The price is $0.15 per million input tokens and $0.60 per million output. MiniMax says agent tasks cost 70% less than on its last model, and it runs nearly three times faster.
Open weights are coming later.
We cover the biggest AI news here every day.
Would you have guessed it was MiniMax?
Does a price like that change which model you reach for?
@mladenm@claudeai Niche is where the useful stuff usually lives. A lot of old VB6 apps are still running and nobody wants to rewrite them, so this fits.
@CloudDogx The licensing angle is a fair read. Early reports on the 9070 XT still range from no slowdown to a 25% drop, so the hardware side is not settled yet.
Modder Daniel Blanco has every main Nvidia DLSS feature running on newer AMD Radeon cards, including DLSS 5 neural rendering, which Nvidia only shipped for its RTX 50 series.
He reports 90 to 100 fps at 1080p on an RX 9070 XT. Early Reddit reports range from no slowdown to drops of up to 25%.
If one developer can port this, how much of Nvidia's lead is really software?
Would you run an unofficial mod like this on your card?
Claude Opus 5.5 just beat a published human expert baseline on an AI training task, according to Vals AI.
With 24 hours of compute, it trained a small language model from scratch and scored 0.8308 bits per byte. The human baseline was 0.85, and lower wins.
Vals AI then moved its own forecast for full self-improvement to July 2027.
Does one result like this move your timeline at all?
Would you trust a model to run your training jobs yet?
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