We ship AI apps and show you exactly how. 20K+ builders following along.
Bangalore
Joined June 2024
- Tweets3.9K
- Following310
- Followers1.2K
- Likes2.8K
Hey, done that just now! was trying to find your X handle from reddit, but could not find it! thanks for replying i gave you credit in the reply. Apologies for the delay
Also Credit to @IfOnlyAI and DreaminaAI for the creation! Do check them out !
I had a dream today, so I recreated it using AI :
The backrooms as a waterslide🌊:
Imagine going down a waterslide that takes you straight into the Backrooms.
Created with Flux 3 by @bfl_ai.
Kimi 3.1 Pro (High Reasoning) has me debugging the AI more than my Unity game.
I've been using Kimi 3.1 Pro with High Reasoning to improve an existing 2.5D Android mining game in Unity.
Even with visual references and gameplay footage, I’m getting black screens, floating drills, and messy UI.
I keep pointing out the same problems, but they’re still there after multiple attempts. At this point, I’m spending more time correcting it than building the game.
Here are the references I gave it alongside what it actually produced.
How is your experience with this model?
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?