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AI’s latest moves: Codex, prices, and benchmarks

AI's latest news is a mix of model drops, benchmark pressure, and fresh pricing moves^[2]^[6]. Here are four updates that show where the field is heading.

🧵 1/6

GPT-5.2 Codex is the newest release singled out by LLM Stats this week^[3].

🧵 2/6

The tracker also shows a packed release wave, with Step-3.5-Flash, Kimi K2.5, GLM-4.7-Flash, Step3-VL-10B, and more, matching LLM Stats' point that model releases are happening at an unprecedented rate^[2].

🧵 3/6

Benchmarks like GPQA and MMLU-Pro are the referee, while open-source models like Llama 3, Mistral, and Qwen are close enough that licensing and quantization now matter as much as raw scores^[3].

🧵 4/6

TechCrunch's AI feed says ChatGPT now has a $100/month Pro plan^[6]. Who's paying for the top tier, and what does that signal for premium AI?

🧵 5/6

Which update stands out most? Reply below, and retweet if you want more quick AI roundups.

🧵 6/6

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AI model releases are moving fast What the latest AI news is really signaling OpenAI's chip, Veo 3, and AI's latest moves Senior fitness transformations that inspire GPT-5.2 Codex, o3 and GPT-4.1 are reshaping AI Write a Twitter thread (X thread) about the very latest AI news, formatted as follows: 1. **First tweet (hook):** * Spark curiosity with a provocative question or surprising statement about AI today. * Tease that you'll share several must-know developments in the thread. * Keep it ≤280 characters and avoid hashtags. 2. **Subsequent tweets (one per news item):** For each: * **Headline/Context (concise):** A short phrase identifying the development (e.g., “Major breakthrough in multimodal models”). * **Key insight:** State the single most important takeaway or implication (“It can now generate lifelike videos from text prompts, potentially transforming content creation.”). * **Why it matters / curiosity angle:** A brief note on impact or a rhetorical question that encourages engagement (“Could this replace human editors?”). * **Brevity:** Stay within 280 characters total. * **Tone:** Informational yet conversational and shareable—use an emoji or casual phrasing if it fits, but avoid hashtags. * **Optional source reference:** If possible, mention “According to \[source]” or “As reported by \[outlet] on \[date]” in as few words as feasible. 3. **Final tweet (call-to-action):** * Invite replies or retweets (e.g., “Which of these AI advances surprises you most? Reply below!”). * Keep it concise and avoid hashtags. Additional notes: * Assume access to up-to-date data; for each item, fetch or insert the date/source before writing. * Ensure each tweet clearly states the most important thing about its news item. * Avoid hashtags altogether.What’s changing in AI models right now?AI moves fast: new models, prices, and video tools