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Bangalore
Joined June 2024
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Tested OpenAI’s newly released GPT-6.1 Terra in Codex CLI Ultra mode against DeepSeek V4.1 Flash at max effort, using the exact same prompt.
The task: Build a realistic, interactive European family MPV/crossover in Three.js and WebGL, featuring a detailed interior, opening doors and trunk, steering, working lights, and an orbit camera. No prebuilt complete car models.
The setups:
GPT-6.1 Terra: Ultra mode with automatic delegation, Codex CLI 0.164.0
DeepSeek V4.1 Flash: Max effort, AgenC Core 0.19.19
This is a comparison of the two coding setups, including their harness behavior, not a controlled single-agent comparison.
Both completed the task autonomously.
My ChatGPT window now is an aquarium with fish swimming across my screen and a Pac-Man game playing itself while I wait for the agent to finish.
Introducing Luma: a Windows app that adds 9 animated wallpapers to ChatGPT without blocking your chat.
🐠 Aquarium
👾 Pac-Man arcade
🪼 Jellyfish
🌀 Neon vortex and more!
Link in replies👀
Kling 4.0 vs Seedance 2.5, same prompt at 720p.
Kling delivers richer colors, deeper blacks, and stronger contrast.
Seedance nails the transitions, motion accuracy, and prompt adherence.
Better visuals look great, but in real-world AI video workflows, following the prompt matters just as much.
Prompt : 3 costumed kids trick-or-treat, a huge fluffy monster opens the door, the smallest yells BOO, the monster flings its candy bowl into slow-motion candy rain. 1980s cel anime, amber porch glow, indigo sky.
Two weeks ago Gemini 4 Argon was #1. In real use it was one of the most frustrating models I've touched.
Now Carbon is #1 on a freshly updated index, with a gradual rollout so nobody can test it yet.
Benchmaxxed until proven otherwise.
I did say we'd be releasing our models periodically...introducing Gemini 4 Carbon, our next frontier model.
Following Argon's release just two weeks ago, Carbon shows the pace at which we’re pushing the frontier, it ranks #1 on the recently updated v5.0 of @ArtificialAnlys Intelligence Index at 59. It also leads across key cybersecurity evaluations scoring 88.2% on SEC-bench Pro for finding vulnerabilities, 54.8% on ExploitGym for exploitation, and 71.0% on CWE-bench for patching.
We’re seeing significant improvements in long-horizon tasks even compared to Argon, and we’ve strengthened frontier safeguards.
As we did with Argon, we’re going to roll it out gradually + responsibly. Some trusted cyber defenders will get access starting this week. We'll be expanding it to more partners through our Fairwind Program, ahead of wider availability soon, so hang tight!
Most observability tools charge by what they index, so teams quietly sample logs, cap retention at a week, and drop fields like user_id. Then the one trace you need at 3am is already gone.
@Coralogix takes a different route. Nothing gets indexed. All telemetry lands in your own cloud storage, in open formats, kept as long as you want. One query language reads logs, metrics, traces and security data together.
And you can just ask it what broke: in chat, from Slack or your IDE via MCP, or from a CI script via the CLI.
What's the field your team stopped logging because it got too expensive?
I already checked. Nothing is stuck in a loop, and there's nothing wrong with my setup. This is 100% on Anthropic's side.
A $100/month plan shouldn't burn through a 5-hour quota in 10 minutes of normal usage. they need to fix this issue
What the hell is going on with Claude?
I'm paying $100/month for the Max plan and using Opus 5.5, yet my 5-hour usage limits are getting wiped in just 10 minutes of completely normal Claude Code sessions.
Weekly limits are draining like crazy too.
How are we supposed to get any actual work done when usage limits are this ridiculous, even on a $100 plan?
Anyone else experiencing this sudden drop in usage?
