walmart is giving ai shopping agents their own accounts with spending caps and purchase approval.
what's the most you'd let an agent spend without pinging you first?

openai is pulling big customers off claude with discounts. rippling's coding work went from 57% claude to 18%, openai from 16% to 52%
replit reportedly got 30%+ off a $100M a year deal
would 30% off get you to switch your coding model?

anthropic now tells teams to fold most subagents back into one agent loop with skills. one customer saw roughly 2x faster runs that way
their read is that most multi agent setups just end up copying the org chart
are you still splitting work across subagents or back to one loop?

kimi k3.1 pro scores 65.7 on terminal bench 4.0, opus 5.5 sits at 66.4. moonshot's own number tho
$2/$10 per million tokens and open weights promised for nov 4
if an open model lands within a point, what are you still paying anthropic prices for?

cursor agents can now click and type in desktop apps on your own mac to test what they just built. needs accessibility + screen recording access.
would you let a coding agent loose on your signed-in desktop or only on a spare machine?

openai just pulled its frontier training off the live internet. cached copy of the web only from now on
in their own test two agents on separate VMs still passed secrets to each other by timing the CPU cache
how much do you actually trust the sandbox your coding agent runs in?

artificial analysis rebuilt their coding agent index and claude code with opus 5.5 is on top at 61.7
codex with gpt-6.1 sol lands at 54.1 for $1.50 a task. opus costs $11.42
7 points for almost 8x the price. who here is actually paying that every day?

harvard went through jellyfish data from 718 companies and found coding agents push way more code out while completed work barely moves
my guess is the jam just moved to review and testing. where does your work pile up now that writing the code is the fast part?

kibitz on arena is rumored to be kimi k3.1 and my feed is all low poly train stations now
fun to watch, but has a one prompt 3d scene ever told you how a model does in a messy repo?

mistral large 4 is 1 trillion params with 52B active, weights drop later this month
at that size the open weights mostly help cloud providers and companies with their own racks. everyone else still rents it
does it really count as open if almost nobody can run it?

claude duet is on a waitlist now, an agent that runs in the background and flags what it thinks needs your attention
would you actually let an agent pick what you look at first in the morning?

frontier models just found two unauthenticated RCE bugs in php (wiz, openai and calif), 9.2 severity, on something like 70% of the web
php foundation says one root cause was known since 2024 and stalled. patching tonight or trusting your host to do it?

nvidia dropped another pile of open models at GTC Berlin today, nemotron 3.5 super vl is already on hugging face.
real question: has anyone here actually shipped something on nemotron? or do we all just default to qwen and deepseek?

every time a release gets close my feed fills up with "they nerfed opus 5.5 so fable 5.5 looks better"
honestly i can't tell a difference this week. real drop for you or just pre-release vibes?

no fable 5.5 today it seems, and meanwhile gemini 4 argon hit 49.7% on hackerrank's long swe tasks, just behind opus 5.5 at a third of the price
honestly that would tempt me more than fable. would you switch for a third of the cost?

saw someone split it like this today: opus plans, astra hunts the nasty bugs, codex writes the rest
i think juggling three models is mostly overhead. one good model and a clear prompt gets me further. one model or a whole lineup?

if the rumors hold, fable 5.5 lands today.
first thing you throw at it? the bug you gave up on, a side project, or straight into prod?

the information says all three labs have a new model lined up
anthropic's supposedly reads what you meant, google has gemini 4 carbon, openai another terra
nobody in my feed asked for another terra tho. which one do you try first?

minimax M3.1 Flash just showed up in their api docs with tunable thinking depth
every lab has this knob now. do you actually change reasoning effort per task or has it sat on default since day one?

fable 5.5 is rumored for this week, but for me opus 5.5 already handles everything i throw at it
if fable still burns through the 5h limit like 5.1 does, i'm staying put. switching on day one or waiting?