Tagged articles : Model bahasa (LLM)

GPT-6 Astra is out: is it really worth 2.5 times the price?

98.6% on the hardest test, 61 out of 100 from the independent judge: where the gap comes from, and what GPT-6 Astra really changes.

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AiTranslator: menerjemahkan dan memperbaiki teks apa pun dengan satu tombol

Terjemahkan dua arah dengan satu tombol, dalam 28 bahasa, dengan pilihan OpenAI, Claude, Gemini, Grok atau Ollama. Windows, macOS dan Linux, x64 dan...

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What is a model factory, and why is it worth $6 billion?

Nvidia pays $6 billion for the machine that makes Poolside's models. We open the hood: the mixer, the furnace, the tests and the finishing touches.

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A small company wants to take Nvidia’s place. Its first customer just put in $700 million.

A chip that does just one thing, one machine delivered, and a customer that invested $700 million after testing it for a month.

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Price per Million Tokens: The Complete Comparison of AI Coding Tools (Subscriptions, APIs, Aggregators, Local)

Corrected comparison of AI coding tools: what to choose for your profile, price per million tokens, and actual limits.

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Astra, OpenAI's next model: it doesn't answer faster, it works for longer

Astra has several agents work together for days. Ten math problems for $2,000, and development slowed over cybersecurity concerns.

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Meta puts a model up for free download again—and this one runs on your graphics card

Meta releases Muse Glimmer under Apache 2.0: 30 billion parameters, under 20 GB, and 233 tokens/s on an RTX 5090. See how it compares with Opus 4.8.

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ByteDance is building a 10,000 billion parameter model. It's the least interesting figure in the story.

ByteDance is training a model with up to 10,000 billion parameters. Why this figure says almost nothing, and what the Doubao story really hides.

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A model 89 times cheaper nearly matches Opus’s score. The catch isn’t where you think.

DeepSeek reports 82.7 on Terminal-Bench versus Opus 4.8’s 85.0. The official leaderboard says 78.9. What the evaluation harness really changes.

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