"Co-Evolving Policy Distillation" A lot of post-training today follows a simple recipe where you train separate experts, then distill them into one model. But the problem is, by the time distillation starts, the expert and the student have already drifted too far apart, so a
LLMS
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Grok AI Feature Access Limited to Premium Subscribers
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I’ve seen how often “backup” fails because it’s built on the same infrastructure. When the primary goes down, the fallback isn’t far behind.Combining terrestrial 5G with @Starlink adds a layer of true separation—that’s where resilience starts to show up. @TMobileBusiness Partner
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Debating Whether Claude Has Any Real Consciousness or Feelings
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“Consciousness is not about what a creature says, but how it *feels*. And there is no reason to think that Claude feels anything at all. I am sure Claude can draw on its training data to wax poetic about orgasm, but that doesn't mean it has ever felt one.” I dissect Richard
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Token Economy Hidden Costs Threaten Enterprise Agentic AI Deployments
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The token economy is turning out to have huge hidden costs. Some of the agentic stuff doesn’t even reach completion on a task as it burns through tokens. This will cause despair for a lot of enterprises implementing agentic AI. As always, there should be some good money to be
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Anthropic ARR Surges to $44B Driven by Claude Enterprise and Code
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Holy: Anthropic’s ARR has reportedly now surged past $44B, up from $9B at the end of 2025, a nearly 5x jump, or roughly 389% growth, in just a few months. The growth is driven mainly by enterprise Claude adoption and Claude Code, while inference gross margins allegedly improved
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GenAI Course Covers Business Use Cases Security and Cost Tradeoffs
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Build the foundational knowledge needed to move beyond basic prompts and apply AI in your organization. The course covers:
– Core GenAI concepts and high-value business use cases
– Balancing model quality, speed, and cost
– Building secure, governed applications that prevent -
OpenCode: free and open source alternative to Claude Code
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Esta es la mejor alternativa a Claude Code y similares.
— Nico (@nicos_ai) 2 mai 2026
Se llama OpenCode y es 100% de código abierto y gratuito
→ Sin coste ni suscripciones
→ Usa cualquier modelo, también gratuitos en local
→ Compatible con GPT, Claude, Gemini, GitHub Copilot, etc.
>… pic.twitter.com/a4v5Bya8n3This is the best alternative to Claude Code and similar. It's called OpenCode and is 100% open source and free → No cost or subscriptions
→ Use any model, also free locally
→ Compatible with GPT, Claude, Gemini, GitHub Copilot, etc. > -
Developers Request ‘Latest’ Model Alias From AI API Providers
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If you work for OpenAI, Anthropic or xAI Please add a 'model'=>'latest' value so I can stop having to change model every 6 months!
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When to Use Reinforcement Fine-Tuning vs Supervised Fine-Tuning
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Before we conclude, let me address an important question: When should you use reinforcement fine-tuning (RFT) versus supervised fine-tuning (SFT)? I created this diagram to provide an answer:
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Using GRPO Training with HuggingFace TRL GRPOTrainer
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Use GRPO and start training Now that we have the dataset and reward functions ready, it's time to apply GRPO. HuggingFace TRL provides everything we described in the GRPO diagram, out of the box, in the form of the GRPOConfig and GRPOTrainer. Check this out