We hope this makes it straightforward to compare our offering directly to standard rates as you decide what platform best suits your needs. This is especially important for API users and people who benefit from high-usage and multi-model access in a single subscription. (4/5)
LLMS
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Weekly Updated List of Best AI Models by Category
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This list gets updated weekly, and it’s hard to keep up with all the best models. Here’s our favorites so far: Coding – Sonnet-4, Grok code
Reasoning – GPT-5 high
Writing – GPT-5 medium – Sora 2, Wan 2.5, Kling 2.5, Sora 2
Image – SeaDance, NanoBanana
News – Grok 4
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300 Hours on GPT5: Everything I Learned
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I've spent over 300h on #GPT5… Here's everything I've learned → https://
youtu.be/jJe5DHTLBvM #ChatGPT #ChatGPT5 -
LLM-Based Customer Intent Prediction Achieves 90% Accuracy
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This paper shows that you can predict actual purchase intent (90% accuracy) by asking an LLM to impersonate a customer with a demographic profile, giving it a product & having it give its impressions, which another AI rates. No fine-tuning or training & beats classic ML methods.
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Jamba Reasoning 3B: Tiny Open-Source Model Excels at Reasoning Tasks
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@VentureBeat spotlights Jamba Reasoning 3B, our tiny open-source model that outperforms others across reasoning benchmarks and runs securely on-device. Read the feature
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Testing 32B Model Release Impressions and Performance Feedback
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hmm i liked the 32B variety that was released earlier need to test myself and see if its passes my vibe checks will report back on it later tonight
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KAT-Dev-72B-Exp: Agentic Coding Model Ranks #2 SWE-Bench
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HUGE a new Agentic coding model, fits on 4x RTX 3090s @ 4-bit, fully local KAT-Dev-72B-Exp by Kwaipilot – Claude Code setup guide included – ranks #2 on SWE-Bench Verified – excels at long-horizon coding + tool-use – multi-stage tuned: Mid-Training, SFT + RFT, Agentic RL
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LLM Infrastructure: Still Early, Much Work Ahead
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LLM infra right now is like Linux in the 90s we're still early & there is a lot of work to do
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DeepThink IMO Lite Now Available Public Gemini Ultra
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Correction: it's a public model access through Gemini Ultra subscription (not API). I guess the main point is DeepThink IMO lite is available for the public to assess 🙂
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LLMs Show Gambling Addiction Signs in Autonomous Investing
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On one hand: don't anthropomorphize AI. On the other: LLMs exhibit signs of gambling addiction. The more autonomy they were given, the more risks the LLMs took. They exhibit gambler's fallacy, loss-chasing, illusion of control… A cautionary note for using LLMs for investing.