@jiya_3063 Claude but gpt is on par just feels like sometimes 5.6 sol thinks too much compared to opus. So i prefer to use Opus when i have enough usage leftπ Gpt always best for getting most usage so usually dumps more at gpt. Although Sol takes good amount of usage even at Max plan.
Here is how to enable a 1M-token context window in Codex for GPT-5.6 Sol.
Even though we have tuned the context limit in Codex to be set optimally when it comes to performance and cost, this is a common ask, so here it is documented.
A larger context window lets Codex retain more code, tool output, and conversation history before summarizing older material. You need a model that supports it. And GPT-5.6 Sol, for example, has a documented 1,050,000-token window.
Open ~/.codex/config.toml and add or update these settings at the top level, before any [section] headers:
```
model = "gpt-5.6-sol"
model_context_window = 1000000
model_auto_compact_token_limit = 900000
```
The first setting selects the model. The second tells Codex to use a one-million-token context budget. The third starts automatic history compaction around 900,000 tokens, leaving some headroom. Restart Codex client and start a new session after saving.
To try the configuration for a single CLI session without changing your defaults:
```
codex -m gpt-5.6-sol \
-c model_context_window=1000000 \
-c model_auto_compact_token_limit=900000
```
Have fun, but also know that we tuned the default carefully!
I finally managed to use Unlimited-OCR and Gemma 4 together in OpenMed. π₯
A real patient chart: read, de-identified, and mapped to FHIR on one laptop. No cloud, no API key, nothing leaves the machine.
All via llama.cpp, all free on @huggingface. π€ What do we do next?
Lovable Pro Lite for 1 year is FREE id you have Airtel!
Steps
> Open the Airtel app β redeem 3 months of LinkedIn Premium.
> From LinkedIn Premium, claim the Lovable 1 year Pro Lite plan.
You get
> 12 months of Pro features
> 5 daily bonus credits
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Lovable is a perfect sandbox to build and ship real products.
1/
Codex is quietly killing your SSD.
It writes diagnostic logs to disk non-stop, even when you're not
doing anything. Your SSD has a write limit. Codex is burning through it in the background.
One command fixes it π
Free api dari mimo
Model banyak cek aja di dashboard nya
Biar dpt 40$ balance gratis kalian anu aja reff nya
Max 20reff dpt 40$
Yg butuh kode bisa pakai kode ane:
https://t.co/cPiRw2vVgu
Awesome websites for coders.
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π¨ ElevenLabs charges $5 to $99/month for AI voice cloning. Their Business plan costs $1,320/month.
Someone open sourced a voice AI that clones any voice from a short clip. 30 languages. Studio quality. Free.
It's called VoxCPM2.
Give it a short clip of anyone's voice. It clones their accent, emotion, tone, and pacing. Then generates any speech you want in their exact voice. 48kHz studio quality.
Type "A young woman, gentle and sweet voice" and it creates that voice from scratch. No reference audio. No voice actor. No recording. You describe a voice in words. It builds it.
2 billion parameters. Trained on 2 million hours of speech. 30 languages.
One command to install: pip install voxcpm
Here's what VoxCPM2 does:
β Voice Design: describe any voice in words. Gender, age, tone, emotion, pace. AI creates it from nothing. No reference audio needed.
β Voice Cloning: upload a short audio clip. AI clones the voice perfectly. Timbre, accent, rhythm, pacing.
β Controllable Cloning: clone a voice AND control the emotion. "Slightly faster, cheerful tone." Done.
β Ultimate Cloning: provide audio + transcript. Every vocal nuance faithfully reproduced.
β 30 languages. Arabic, Chinese, English, French, German, Hindi, Japanese, Korean, Spanish, and 21 more. No language tags needed.
β Context-aware. It reads the text and adjusts emotion and rhythm automatically. News sounds like news. Stories sound like stories.
β Real-time streaming. RTF as low as 0.13 on an RTX 4090. Faster than playback speed.
β Runs on 8GB of VRAM.
β Fine-tune with 5 to 10 minutes of your own audio using LoRA. Build a custom voice model.
β 48kHz output. Studio quality. No external upsampler needed.
Here's the wildest part:
On the Minimax-MLS voice similarity benchmark:
β English: VoxCPM2 scores 85.4%. ElevenLabs scores 61.3%.
β Chinese: VoxCPM2 scores 82.5%. ElevenLabs scores 67.7%.
β Arabic: VoxCPM2 scores 79.1%. ElevenLabs scores 70.6%.
A free, open source model is producing more realistic voice clones than a service that charges up to $1,320/month.
Professional voice actors charge $250 to $1,000+ per project. AI voice platforms charge $5 to $100/month. Recording studios charge $200/hour.
This runs on your GPU. Locally. No API costs. No per-character pricing. No subscription. Free forever.
Already hit #1 on GitHub Trending. Built by OpenBMB and Tsinghua University. 2 billion parameters. Apache 2.0 License. Free for commercial use.
100% Open Source.