Singularabbit

@sama GPT-5.5 is currently the world’s most intelligent model, providing an ample usage quota

i keep thinking i want the models to be cheaper/faster more than i want them to be smarter but it seems that just being smarter is still the most important thing

@LexnLin Unless Anthropic cuts pricing, OpenAI is reclaiming the throne this year Still watching Gemini and Grok close the gap too tho

did you realize that it's literally over for claude code 😂

@meta_alchemist I just cleaned up the background at first, but damn there were a ton of other problems This is super helpful, thanks

Codex's app has been super slow for me lately. at first, I thought the problem was Codex itself. It wasn’t. After cleaning things up properly, Codex felt roughly 10X faster. 0 slowness. Before this, I had 8GB of logs built up, and it slowed things down like crazy. Here’s the 15-point cleanup system, which worked perfectly for me. It won't delete anything. Copy paste these 15 bullet points when your Codex starts to slow down: > it will inspect things first > back up & archive important files > and make your Codex blazing fast again. 15 ITEMS TO KEEP CODEX FAST 1. Check what is actually taking space. Inspect sessions, archived sessions, worktrees, archived worktrees, logs, config, and the local state database. 2. Back up the important files first. Back up config, global state, session index, state database, memories, skills, plugins, and automations before changing anything. 3. Check if Codex is open. If Codex is running, only inspect. Apply cleanup after closing it so the local database is not being touched from two places. 4. Find the giant active chats. Look for the biggest active session files. These are often old conversations that are still treated as active history. 5. Archive old non-pinned chats. Move chats older than 7-10 days into archived sessions, unless they are pinned or clearly still current. 6. Keep only recent work active. Your sidebar/history should not be carrying weeks or months old execution threads. 7. Use handoff docs instead of massive chats. If an old thread matters, turn it into a handoff doc, archive the thread, and resume in a fresh chat from the doc. 8. Normalize weird paths. On Windows, clean up path mismatches like normal C:\... paths vs extended \\?\C:\... paths. 9. Prune dead config projects. Remove project paths from config that no longer exist or point to temporary folders. 10. Move stale worktrees. Don’t keep old Codex worktrees in the hot worktrees folder. Archive them instead of deleting them. 11. Rotate large logs. Move oversized old logs into an archive folder so Codex can recreate fresh ones. 12. Check heavy background processes. Look at Node/dev-server processes. Don’t auto-kill them, but close the ones you don’t need. 13. Verify the cleanup. Afterward, confirm config still parses, the database opens, active session size dropped, archived sessions increased, and no bad paths remain. 14. Turn this into a weekly script. The cleanup should not be a dramatic one-time rescue mission. Make it repeatable. 15. Make it boring. Weekly maintenance should back up first, archive old sessions, normalize paths, prune config, move stale worktrees, rotate logs, and give you a report. The biggest lesson for me: giant chats should not become permanent memory. Chats are for execution. Handoff docs are for memory. Archives are for history. Fresh threads are for speed. P.S. Before doing all this, make comprehensive handoff documents for each active chat, too, with prompts prepared for each to reactivate them after. This will start new chats from the exact places you left off, but at blazing-fast speed. Like this, things simply work perfectly. I even told my Codex to automate these weekly, and it has set it up for every Sunday. Save this for when you will need it, as Codex app does get heavy as you use it more, especially if you are using many terminals and long sessions a lot.

XAI 🚨: Voice cloning is now available on xAI Console in the US. > Create a custom voice in less than 2 minutes or select from our library of 80+ voices across 28 languages to personalize your voice agents, audiobooks, video game characters, and more. This also means we will see custom voices on Grok soon. I hope they won't be restricted to the US only.

🚨 Google updated Gemini 3 Flash in arena It still has the same name "Gemini 3 Flash". However, output quality is two tiers above it. It could be 3.1, 3.2 or 3.5 Flash. Not sure what they'll call it. It's performance is closer to current 3.1 Pro than the current 3 Flash. Huge upgrade.

GPT-5.5 & Opus 4.7 on ARC-AGI-3 - GPT-5.5: 0.43% - Opus 4.7: 0.18% We found 3 failure modes: - True local effect, false world model - Wrong level of abstraction from training data - Solved the level, didn’t reinforce the reward See our full analysis 🧵

Now we've truly entered the era where everyone is a web designer What's next?

Interesting update from xAI Grok 4.3 just dropped on OpenRouter — input prices cut ~40%, output ~60% vs 4.2, and it actually got smarter Per Artificial Analysis benchmarks, overall Intelligence Index went up while agentic performance jumped +321 ELO to 1500 on GDPval-AA, passing several top-tier models at a fraction of the cost Cheaper AND better is rare — most labs trade one for the other With Grok 4.4 and Grok Build on the horizon, xAI is stacking momentum fast

The new Grok-4.3 from @xai is live on OpenRouter! Grok-4.3 releases at a lower price than Grok-4.2, while seeing a large jump in agentic performance: a 321 point increase to 1500 ELO on @ArtificialAnlys GDPval-AA, surpassing other top models despite the lower price.

APPLE 🍎: “AFM Plus 150B Instruct” Apple Foundation Model has been spotted in the internal AFM Playground app. This app is being used internally by Apple employees to test Apple Foundation models. WWDC26 will be hot 🔥

@sama It’ll probably hit 100% the day after tomorrow

lisan say more mean things about us you're being too nice

OAI’s GoblinGate, turned into a comic I literally just gave GPT the link and asked it to make a multi-page comic from the article

@pranv21 @thsottiaux No cap 😂

@Singularabbit @thsottiaux yea wtf 🤣

Send us feature requests for codex in the form of an images 2.0 generated image. It makes it easier for codex to implement if we decide to go for it. Saw some good ones today already that codex is cooking on.

@LexnLin I’ve been using this with Codex OAuth You should try it too github.com/lidge-jun/ima2…

@Singularabbit really?

Please let it be 2k images 🙏

@iruletheworldmo If Gemini launches with coding capabilities and a super-app, it will be doomsday for GPT and Claude

gemini 3.5 will be the first time google truly flex their power. they’re about to framemog jestermax bone smesh their gremlin competitors. did i say that right chat? they’ve finally linked frontier intelligence with agency.

Mistral Medium 3.5 128B came out way better than I expected 77.6 on SWE-Bench basically matching Sonnet 4.5 at 77.2, and 91.4 on Telecom putting it 2nd overall Airline 72.0 is a bit weak but Retail 76.1 is actually the highest score in that category A 128B model going toe to toe with 700B-1000B class models, in terms of parameter efficiency this is the most impressive result on the whole chart Banking is a graveyard for everyone so not counting that Honestly did not expect Mistral to hold up like this at this size

Mistral Medium 3.5, a new flagship model in public preview by @MistralAI that merges instruction-following, reasoning, and coding into a single 128B dense model with a 256k context window and configurable reasoning effort. It's a new default model for Mistral Vibe and Le Chat. Released as open weights, under a modified MIT license.