与「GPT」相关的搜索结果

中美大模型最新现状盘点： 🔻 国内模型：集体陷入停滞 ▪️ Kimi k3.1 pro：发版 100 天，毫无技术飞跃。 ▪️ Deepseek：至今交不出合格的 Pro 版。 ▪️ GLM 5.3：惊艳发版后，近 3 个月几乎交白卷。 ▪️ Qwen 4 Max：实测表现远低于预期。 🚀 海外巨头：前沿能力狂飙 ▪️ Gemini 4 Argon：主攻深层推理与前沿 Agent，拉满 100 万上下文，能实打实自主挖漏洞及控制机器人。 ▪️ Gemini 4 Hydrogen：主打极速编码工作流，直接上线 4 档“动态思考深度（Thinking Levels）”。 ▪️ GPT 序列：正在全面铺开高级复杂推理机制。 ▪️ Claude 5 系列：高速迭代，且通过底层分类器彻底锁死了外部“白嫖”思维链数据的通道。

一篇论文了解决策模型的训练《Towards Foundation Decision Models: Drex》 决策模型在很多场景比如分类、路由等任务上很有用，没有当时 Jev 刚出来吹的那么神，但是可以落地应用。 和传统的 BERT 比起来就是用 LLM 做backbone，知识容量和能力大幅提升。 话说这个论文的插图，我很怀疑是gpt生成的。

Fable 5.2 vs. GPT-6 Astra Astra was 6x cheaper, but man, it got absolutely DESTROYED in this test. 💀 Compared to Fable, Astra's result looks like a bad joke. Fable is much more expensive, but the difference in quality is insane. What do you think? Is Fable worth the extra cost?

使用 Hermes 和 Claude Opus 或者 Fable，有一种无力的兴奋感，这是 GPT 没有给我的。就是我给他描述一些我的痛点或者需求，一会儿的功夫回来，他就已经比我想的更远一点，做好了相关功能部署上线了。 兴奋的点是，又解决了我一个大的问题，没想到这么容易就解决了。 无力这点是在于：我是否还有存在的必要？ 从这一点上，GPT 可能更好一点，因为它做一步等一步，需要我催它反复地去做，给我找了一点存在感。

OpenAI has yet to release GPT-6.2. There can only be three reasons: 1) They were surprised by how capable Fable 5.2 is and had to make GPT-6.2 better. 2) They found security vulnerabilities or other issues that need to be fixed. 3) Anthropic is going public next week, and OpenAI knows GPT-6.2 surpasses both Fable 5.2 and Opus 5.5. They’re trying to steal the spotlight ahead of their own planned IPO in 2027. I’m torn between 1 and 3, but I honestly don’t know. My gut tells me OpenAI was surprised by how good Fable 5.2 is. Either way, I expect GPT-6.2 to be released before November 19.

🚨 A 19-YEAR-OLD STUDENT TURNED $68 INTO $750K USING AI. No trading experience. No emotional decisions. No endless chart-watching. Just Claude Code, GPT-6 Astra, and 6 AI agents working together. I built a self-learning AI trading system that generated +$1,840.82 in just 48 hours. [ 𝐍𝐨𝐭𝐞: 𝐅𝐨𝐥𝐥𝐨𝐰 𝐌𝐞: @EaStEnRaY1 (𝐅𝐨𝐫 𝐢𝐧𝐬𝐭𝐚𝐧𝐭𝐥𝐲 𝐚𝐮𝐭𝐨 𝐃𝐌)] Here's what makes it different: 🧠 6 AI agents monitor newly launched Solana coins. ⚡ The system analyzes buyer activity, connected wallets, selling pressure, and holder concentration. 🎯 Every launch is evaluated across 3 probability scenarios: - +60% reached first - -30% reached first - Neither happens within 60 minutes QUANT evaluates profitability after execution costs. GUARD filters out trades with unacceptable risk. And here's the crazy part: Even the trades it SKIPS become learning data. Every new signal helps the system improve its next decision. No panic. No FOMO. No emotional trading. Just AI-powered market analysis and execution. 🔥 NOW I'M GIVING AWAY MY EXACT CLAUDE CODE SETUP FOR FREE! Want to build your own AI trading system? I'm sharing the setup for the next 24 HOURS ONLY. 👇 HOW TO GET IT: 1️⃣ Like this post 2️⃣ Repost 3️⃣ Comment "CLAUDE" 4️⃣ Follow @EaStEnRaY1 so I can DM you the setup. Don't just watch AI change trading. Learn how to build with it. 🚀

Astra仍然是目前最接近SOTA的非Claude系列模型，当然价格也是 A/要是封号不严重的话，基本上没GPT什么事情了 只看刷分+API定价的话 1，主流国模都在一个水平线，价格确实有差距，k3.1pro居然反杀glm5.3 2，opus稳步提升成绩 3， gpt6.1sol是最性价比的模型，次选是opus5.5xh 4， gemini4argon不适合coding 5， gemini4h/4c、gpt6astra、claude sonnet/opus/fable最新版本的性价比基本接近，主要影响极限能力上限和价格（xh/max） 6，claude模型只需要xh，gemini模型只需要h，其他模型都是越思考越好

说真的，还在给GPT续费的朋友，听我一句：这钱可以先停了。 现在我的首选已经换成Gemini。 Carbon 稳坐世界第一，性能跟 Fable 5.2 基本一个水平，成本却只要三分之一——效果不打折，账单直接砍半还多。 Hydrogen 则是又快又准，GPT6.1 Sol 在它面前基本没脾气。 所以我一直没想通：都这样了，还守着旧订阅的理由到底是什么？