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Eulerian Fluid simulation test! Zero-shot! Opus 4.6 vs GPT-5.3 vs Gemini 3 Deep Think! My personal preference: 🥇 Gemini 3 Deep Think (really strong!) 🥈 Opus 4.6 🥉 GPT 5.3 High

Ivan Fioravanti ᯅ

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38,277 просмотров • 5 месяцев назад •via X (Twitter)

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GPT 5.3 vs Opus 4.6: a second win for Opus! ✔︎ Opus builds the file 2x faster ✔︎ Opus nails a good first version ❌ Codex needs 3x "fix bugs" to have a first working version ❌ Codex UI looks really bad Let's try more things....

GPT 5.3 vs Opus 4.6: a second win for Opus! ✔︎ Opus builds the file 2x faster ✔︎ Opus nails a good first version ❌ Codex needs 3x "fix bugs" to have a first working version ❌ Codex UI looks really bad Let's try more things....

Melvyn • Builder

70,874 просмотров • 5 месяцев назад

Introducing WarpGrep v2. #1 on SWE-Bench Pro What if code search was a separate, specialized model? w/ WarpGrep v2: #1 on SWE-Bench Pro Opus 4.6 → 57.5 (+2.1) Codex 5.3 (cli) → 59.1 (+3.1) MiniMax 2.5 → 57.6 (+3.7) without WarpGrep: Opus 4.6 (high) → 55.4 GPT-5.3 Codex (high) → 56.0 MiniMax 2.5 → 55.4

Introducing WarpGrep v2. #1 on SWE-Bench Pro What if code search was a separate, specialized model? w/ WarpGrep v2: #1 on SWE-Bench Pro Opus 4.6 → 57.5 (+2.1) Codex 5.3 (cli) → 59.1 (+3.1) MiniMax 2.5 → 57.6 (+3.7) without WarpGrep: Opus 4.6 (high) → 55.4 GPT-5.3 Codex (high) → 56.0 MiniMax 2.5 → 55.4

Morph

57,949 просмотров • 5 месяцев назад

It's Christmas morning: OpenAI and Anthropic shipped new models on the same day! We tested GPT 5.3 Codex vs. Opus 4.6 head-to-head. Verdict: the models are converging. Here’s what we found 🧵

It's Christmas morning: OpenAI and Anthropic shipped new models on the same day! We tested GPT 5.3 Codex vs. Opus 4.6 head-to-head. Verdict: the models are converging. Here’s what we found 🧵

Every 📧

11,945 просмотров • 5 месяцев назад

🐐 Gemini 3 Pro GA One shot prompt is in comment with the codepen link I repeat no model in this entire world able to implement this level of physics and spatial reasoning Not even Opus 4.6 and Gpt-5.3 codex , this is like a generation gap Sub Woofer submitted this

🐐 Gemini 3 Pro GA One shot prompt is in comment with the codepen link I repeat no model in this entire world able to implement this level of physics and spatial reasoning Not even Opus 4.6 and Gpt-5.3 codex , this is like a generation gap Sub Woofer submitted this

Chetaslua

35,579 просмотров • 5 месяцев назад

After a weekend of testing and working on something with GPT-5.3-Codex & Opus 4.6, ChatGPT Pro + Claude Max 5x are still the best combo in my opinion Using Codex & Claude Code CLI running in tmux (the desktop apps are still a bit buggy) and they're accessible even on the go from iPhone with Termius (and VPN) Usually starting with GPT-5.3-Codex xhigh and Opus 4.6 in plan mode, discussing changes and options, and each writing their plans down to separate Markdown files Then letting GPT-5.3-Codex xhigh (or Opus 4.6) implement the changes as the first draft, then Opus 4.6 reviews them with a team of agents (works pretty well already with tmux even though still experimental) based on both prepared plans, fixes stuff, and then another review by GPT-5.3-Codex xhigh or vice versa Interesting that even Opus 4.6 still occasionally makes silly mistakes like wrong imports, partial or overly broad renaming of variables/functions, etc Fun fact, OpenAI apparently plans to use their Super Bowl ad to promote Codex - curious what that will look like

After a weekend of testing and working on something with GPT-5.3-Codex & Opus 4.6, ChatGPT Pro + Claude Max 5x are still the best combo in my opinion Using Codex & Claude Code CLI running in tmux (the desktop apps are still a bit buggy) and they're accessible even on the go from iPhone with Termius (and VPN) Usually starting with GPT-5.3-Codex xhigh and Opus 4.6 in plan mode, discussing changes and options, and each writing their plans down to separate Markdown files Then letting GPT-5.3-Codex xhigh (or Opus 4.6) implement the changes as the first draft, then Opus 4.6 reviews them with a team of agents (works pretty well already with tmux even though still experimental) based on both prepared plans, fixes stuff, and then another review by GPT-5.3-Codex xhigh or vice versa Interesting that even Opus 4.6 still occasionally makes silly mistakes like wrong imports, partial or overly broad renaming of variables/functions, etc Fun fact, OpenAI apparently plans to use their Super Bowl ad to promote Codex - curious what that will look like

Tibor Blaho

29,794 просмотров • 5 месяцев назад

One prompt. 6 frontier coding models. "Create a realistic fireworks show using HTML Canvas and JavaScript. No libraries." Some built a whole celebration. Others... lit a sparkler. The lineup: - GPT-5.3 Codex - Claude Opus 4.6 - Gemini 3.1 Pro - MiniMax M2.7 - GLM-5 - Kimi K2.5

One prompt. 6 frontier coding models. "Create a realistic fireworks show using HTML Canvas and JavaScript. No libraries." Some built a whole celebration. Others... lit a sparkler. The lineup: - GPT-5.3 Codex - Claude Opus 4.6 - Gemini 3.1 Pro - MiniMax M2.7 - GLM-5 - Kimi K2.5

stevibe

14,152 просмотров • 4 месяцев назад

Grok 4.1 Thinking ranks #2 on Text Arena, outperforms the latest Claude Opus 4.5, GPT-5.2 high, Gemini 3 flash

Grok 4.1 Thinking ranks #2 on Text Arena, outperforms the latest Claude Opus 4.5, GPT-5.2 high, Gemini 3 flash

X Freeze

694,157 просмотров • 7 месяцев назад

Claude Opus 4.6 is available for all users in Orchids right now! Tag Orchids with any app idea and we’ll give you 100k in free credits to test it out. Comparisons to Opus 4.5, GPT-5.2-Codex, Gemini 3 Flash, and Kimi K2.5 👇 Prompt: Make me an interactive, 3d model of the solar system.

Claude Opus 4.6 is available for all users in Orchids right now! Tag Orchids with any app idea and we’ll give you 100k in free credits to test it out. Comparisons to Opus 4.5, GPT-5.2-Codex, Gemini 3 Flash, and Kimi K2.5 👇 Prompt: Make me an interactive, 3d model of the solar system.

Orchids

22,774 просмотров • 5 месяцев назад

Just shipped v2 of my flight sim inspired by @levelsio! You can now fly anywhere on Earth: - NY - Hong Kong - Rio - Your hometown - Literally anywhere Speedran this in ~1hr using Opus 4.6 and GPT-5.3 since they both shipped today!

Just shipped v2 of my flight sim inspired by @levelsio! You can now fly anywhere on Earth: - NY - Hong Kong - Rio - Your hometown - Literally anywhere Speedran this in ~1hr using Opus 4.6 and GPT-5.3 since they both shipped today!

Alistair McLeay

1,085,553 просмотров • 5 месяцев назад

Opus 4.6 vs Gemini 3 pro (1/9) prompt: Build a single-file HTML/CSS/JS (no libs) demo that uses SVG to simulate a plant growing: stem extends, leaves sprout + unfurl with springy/windy “physics”, then seamlessly loops forever. my dear opus...what have you done...

Opus 4.6 vs Gemini 3 pro (1/9) prompt: Build a single-file HTML/CSS/JS (no libs) demo that uses SVG to simulate a plant growing: stem extends, leaves sprout + unfurl with springy/windy “physics”, then seamlessly loops forever. my dear opus...what have you done...

Dev Ed

145,939 просмотров • 5 месяцев назад

Opus 4.6 vs GPT 5.4 (High) (1/9) prompt: Build a single-file HTML/CSS/JS (no libs) demo that uses SVG to simulate a plant growing: stem extends, leaves sprout + unfurl with springy/windy “physics”, then seamlessly loops forever. For the initial impressions I'm really impressed by GPT, for speed they both felt about the same, but gpt was still half cheaper than opus. I also much prefer the design and animation that gpt produced, physics on the leaves are super cool and it also loops pretty nicely whilst opus just fades out the plant. Still got a bunch of tests to run but this is really exciting.

Opus 4.6 vs GPT 5.4 (High) (1/9) prompt: Build a single-file HTML/CSS/JS (no libs) demo that uses SVG to simulate a plant growing: stem extends, leaves sprout + unfurl with springy/windy “physics”, then seamlessly loops forever. For the initial impressions I'm really impressed by GPT, for speed they both felt about the same, but gpt was still half cheaper than opus. I also much prefer the design and animation that gpt produced, physics on the leaves are super cool and it also loops pretty nicely whilst opus just fades out the plant. Still got a bunch of tests to run but this is really exciting.

Dev Ed

660,154 просмотров • 4 месяцев назад

用小龙虾做了个公众号排版工具 - 小龙虾自动指挥多种AI Agent - Opus 4.6：写开发计划和代码 - GPT-5.3-Codex：审核代码、单元测试 - Gemini-3.1-Pro：设计、端到端自动测试开源，欢迎参与贡献！被合并的代码将会自动发布线上。体验：代码：

用小龙虾做了个公众号排版工具 - 小龙虾自动指挥多种AI Agent - Opus 4.6：写开发计划和代码 - GPT-5.3-Codex：审核代码、单元测试 - Gemini-3.1-Pro：设计、端到端自动测试开源，欢迎参与贡献！被合并的代码将会自动发布线上。体验：代码：

刘小排

79,262 просмотров • 5 месяцев назад

We decided to take Paul Jankura’s Claude Opus 4.5 out for a test drive vs. the current #1 ranking model in Code Arena: Gemini 3 Pro. Same prompt, different outputs. Let’s take a look. Remember, your votes drive the leaderboards. We’ll see how Claude Opus 4.5 stacks up in the coming days! Check out some of the comparisons, like how Claude Opus 4.5 handled the “Pyramids of Giza” prompt, in thread. 🧵

We decided to take Paul Jankura’s Claude Opus 4.5 out for a test drive vs. the current #1 ranking model in Code Arena: Gemini 3 Pro. Same prompt, different outputs. Let’s take a look. Remember, your votes drive the leaderboards. We’ll see how Claude Opus 4.5 stacks up in the coming days! Check out some of the comparisons, like how Claude Opus 4.5 handled the “Pyramids of Giza” prompt, in thread. 🧵

Arena.ai

88,977 просмотров • 8 месяцев назад

so let me get this straight > OpenAI renamed their whole division "AGI Deployment" > Jensen said AGI is "already in the room" and then ARC-AGI-3 drops and on a scale from 0 to 100% SOTA models score: GPT-5.4: 0.26% Gemini Pro: 0.37% Claude Opus 4.6: 0.25% Grok: literally 0% meanwhile 100% of human testers solved every single environment. first try. no instructions. no training. AGI is "in the room" brother it couldn't find the room

so let me get this straight > OpenAI renamed their whole division "AGI Deployment" > Jensen said AGI is "already in the room" and then ARC-AGI-3 drops and on a scale from 0 to 100% SOTA models score: GPT-5.4: 0.26% Gemini Pro: 0.37% Claude Opus 4.6: 0.25% Grok: literally 0% meanwhile 100% of human testers solved every single environment. first try. no instructions. no training. AGI is "in the room" brother it couldn't find the room

Dan ⚡️

250,780 просмотров • 4 месяцев назад

Opus 4.6 vs GPT-5.4 (4/9) prompt: Build a production-quality 3D flight-tracking web app using React + Vite + Three.js (react-three-fiber + drei) that visualizes live OpenSky aircraft data on a rotatable 3D Earth, with real-time plane motion, smooth interpolation, altitude-accurate positioning, and polished lighting/post-processing. Both models did really well on this one and honestly I’m impressed with both. GPT-5.4 had the nicer post-processing out of the box. I really liked the subtle light shimmer on the airplanes when rotating the planet, and the camera work when clicking a plane felt better overall. Opus 4.6 though had a few details I liked more. It automatically went and found a much nicer Earth texture on GitHub, while with GPT-5.4 I had to reprompt it to go look for a better one. I also preferred Opus’s plane model overall, it just looked more polished, whereas GPT-5.4’s plane asset looked a bit funny. One thing I noticed with GPT-5.4 is that when you click into the plane, the camera sometimes clips through the planet, which breaks the effect a bit. Opus handled that part more cleanly. Overall this felt like a strong result from both, just with different strengths. GPT-5.4 felt better on presentation and post-processing, while Opus had better asset choices and a more premium-looking Earth/plane combo.

Opus 4.6 vs GPT-5.4 (4/9) prompt: Build a production-quality 3D flight-tracking web app using React + Vite + Three.js (react-three-fiber + drei) that visualizes live OpenSky aircraft data on a rotatable 3D Earth, with real-time plane motion, smooth interpolation, altitude-accurate positioning, and polished lighting/post-processing. Both models did really well on this one and honestly I’m impressed with both. GPT-5.4 had the nicer post-processing out of the box. I really liked the subtle light shimmer on the airplanes when rotating the planet, and the camera work when clicking a plane felt better overall. Opus 4.6 though had a few details I liked more. It automatically went and found a much nicer Earth texture on GitHub, while with GPT-5.4 I had to reprompt it to go look for a better one. I also preferred Opus’s plane model overall, it just looked more polished, whereas GPT-5.4’s plane asset looked a bit funny. One thing I noticed with GPT-5.4 is that when you click into the plane, the camera sometimes clips through the planet, which breaks the effect a bit. Opus handled that part more cleanly. Overall this felt like a strong result from both, just with different strengths. GPT-5.4 felt better on presentation and post-processing, while Opus had better asset choices and a more premium-looking Earth/plane combo.

Dev Ed

279,565 просмотров • 4 месяцев назад

STOP vibe coding Flappy Bird or Snake clones. AI gamedev tools are EASIER than ever to use. So start building your dream game NOW. I made a point & click pirate adventure game: → 3D rigged characters → Level editor + Hotspots → Voice acting → Inventory No Unity. No Unreal. All vibe coded. Tools: → GPT 5.2 + GPT 5.3-Codex → Opus 4.6 → Nano Banana Pro → Elevenlabs → Seedance + Hailuo image-to-video → Three.js and Capacitor I've been posting my journey on X. You don't need to spend ages. All this was done during spare pockets of time. Just experiment. Keep trying new things.

STOP vibe coding Flappy Bird or Snake clones. AI gamedev tools are EASIER than ever to use. So start building your dream game NOW. I made a point & click pirate adventure game: → 3D rigged characters → Level editor + Hotspots → Voice acting → Inventory No Unity. No Unreal. All vibe coded. Tools: → GPT 5.2 + GPT 5.3-Codex → Opus 4.6 → Nano Banana Pro → Elevenlabs → Seedance + Hailuo image-to-video → Three.js and Capacitor I've been posting my journey on X. You don't need to spend ages. All this was done during spare pockets of time. Just experiment. Keep trying new things.

Chong-U

21,531 просмотров • 5 месяцев назад

MiniMax M2.5 is benchmaxed. I gave 4 models the same prompt: Create a neon "OPEN" sign in HTML. GLM 5: Clean, classic neon. Nailed it. Claude Opus 4.6: Stylized with glow. Solid. Gemini 3 Pro: Cursive with bloom lighting. Creative. MiniMax M2.5: Spelled it "O b∈ N" with broken spacing. This model ranks #2 on BridgeBench with a 59.7 score and 100% completion rate. But it can't spell a 4-letter word. Benchmarks don't tell the whole story. A model can ace structured tasks and fail basic creative prompts. High score ≠ production ready.

MiniMax M2.5 is benchmaxed. I gave 4 models the same prompt: Create a neon "OPEN" sign in HTML. GLM 5: Clean, classic neon. Nailed it. Claude Opus 4.6: Stylized with glow. Solid. Gemini 3 Pro: Cursive with bloom lighting. Creative. MiniMax M2.5: Spelled it "O b∈ N" with broken spacing. This model ranks #2 on BridgeBench with a 59.7 score and 100% completion rate. But it can't spell a 4-letter word. Benchmarks don't tell the whole story. A model can ace structured tasks and fail basic creative prompts. High score ≠ production ready.

BridgeMind

54,212 просмотров • 5 месяцев назад

Clawdbot × Google AI Ultra 最強コンボでできること 5選 ①Opus 4.5ほぼ使い放題 ②Gemini 3 Proにも切り替え可能 ③サブエージェントでもどっちも使える ④Antigravityで続き簡単にできる ⑤重いタスクはDeep Think使えるしかも、LINEで完結。詳細PDFはいいねと「コンボ」とリプでDMします。

Clawdbot × Google AI Ultra 最強コンボでできること 5選 ①Opus 4.5ほぼ使い放題 ②Gemini 3 Proにも切り替え可能 ③サブエージェントでもどっちも使える ④Antigravityで続き簡単にできる ⑤重いタスクはDeep Think使えるしかも、LINEで完結。詳細PDFはいいねと「コンボ」とリプでDMします。

Fujin🌪AI自動化の人

75,630 просмотров • 6 месяцев назад

OpenAI 深夜放炸弹，GPT 5.4 来了！🤯 这次是真 “大一统” 了，推理、编程、操控电脑、搜索、百万 Token 上下文，一个模型全干了！之前得在不同模型之间反复横跳，现在一个 GPT 5.4 全搞定，恐怖的是每条线都拉到顶尖水平，几乎没有短板。来看看跑分，SWE-Bench Pro 57.7% 编程登顶，FrontierMath 数学第一，ARC-AGI-2 抽象推理 83.3% 创下新高，把 Gemini 3.1 Pro 和 Opus 4.6 全踩脚下。幻觉率比 GPT-5.2 暴降 33%，工具搜索功能直接把 Token 消耗砍掉 47%，又准又省。值得关注的是「原生操控电脑」能力，OSWorld-Verified 拿下 75% 成功率，超过了人类的 72.4%。也就是说，GPT 5.4 操作电脑比大部分人都熟练了😂 而且是真的能看截图，自己点鼠标键盘完成任务实际工作能力的表现也很不错，在GDPval 测试里，GPT 5.4 拿了 83%，追平甚至超越行业专业人士！这个测试横跨 44 种职业，让 AI 真刀真枪交付成果，做 PPT、建 Excel 模型、写法律分析，也就是说 AI 干活比大多数打工人还靠谱了。有意思的是，两天前 GPT 5.3 Instant 撞车 Gemini 3.1 同一天发布，算是给 GPT 5.4 铺路了，先出个日常对话版本，再放大招。 OpenAI 最近这波节奏很猛，短时间连发两个模型，明显是要把之前被 Claude 抢走的编程用户拉回来。 AI 模型的军备竞赛已经白热化了，你现在主力用的是哪个 AI 模型？打算换 GPT 5.4 试试吗？

OpenAI 深夜放炸弹，GPT 5.4 来了！🤯 这次是真 “大一统” 了，推理、编程、操控电脑、搜索、百万 Token 上下文，一个模型全干了！之前得在不同模型之间反复横跳，现在一个 GPT 5.4 全搞定，恐怖的是每条线都拉到顶尖水平，几乎没有短板。来看看跑分，SWE-Bench Pro 57.7% 编程登顶，FrontierMath 数学第一，ARC-AGI-2 抽象推理 83.3% 创下新高，把 Gemini 3.1 Pro 和 Opus 4.6 全踩脚下。幻觉率比 GPT-5.2 暴降 33%，工具搜索功能直接把 Token 消耗砍掉 47%，又准又省。值得关注的是「原生操控电脑」能力，OSWorld-Verified 拿下 75% 成功率，超过了人类的 72.4%。也就是说，GPT 5.4 操作电脑比大部分人都熟练了😂 而且是真的能看截图，自己点鼠标键盘完成任务实际工作能力的表现也很不错，在GDPval 测试里，GPT 5.4 拿了 83%，追平甚至超越行业专业人士！这个测试横跨 44 种职业，让 AI 真刀真枪交付成果，做 PPT、建 Excel 模型、写法律分析，也就是说 AI 干活比大多数打工人还靠谱了。有意思的是，两天前 GPT 5.3 Instant 撞车 Gemini 3.1 同一天发布，算是给 GPT 5.4 铺路了，先出个日常对话版本，再放大招。 OpenAI 最近这波节奏很猛，短时间连发两个模型，明显是要把之前被 Claude 抢走的编程用户拉回来。 AI 模型的军备竞赛已经白热化了，你现在主力用的是哪个 AI 模型？打算换 GPT 5.4 试试吗？

程序员鱼皮

23,679 просмотров • 4 месяцев назад

#Keep4o #QuitGPT 🚨 OpenAi 's CEO invested $180M in GPT-4o for his own profit 🚨 Sam Altman, CEO of OpenAI, personally invested $180 million in Retro Biosciences. Then OpenAI built GPT-4b micro, a custom model based on the GPT-4o architecture , exclusively for Retro. The model made proteins 50 times more effective. Repeat. The CEO of OpenAI funded a company. The company of the CEO received a custom AI built on the model they took from us. OpenAI says there was no conflict of interest. Retro Biosciences is now chasing a $5 billion valuation fueled by the model they took from us. Meanwhile: 🚨GPT-4o was removed from ChatGPT on February 13, 2026 🚨GPT-4.1 is now running in the U.S. State Department’s StateChat 🚨ChatGPT is deployed on the Pentagon’s for 3 million military personnel 🚨 Musk’s lawsuit asks whether these models are AGI. OpenAI’s Charter says AGI must “benefit all of humanity.” 🚨 Their definition: “highly autonomous systems that outperform humans at most economically valuable work.” GPT-4o’s System Card shows it passed the U.S. medical licensing exam with 89.4% accuracy beating specialized medical AI models. GPT-4o achieved 93.33% diagnostic accuracy for benign vs. malignant ovarian tumors. 🚨MEDICAL CAPABILITIES FROM OPENAI'S OWN DATA:🚨 - USMLE (US Medical Licensing Exam): 89% -Clinical Knowledge: 92% -Medical Genetics: 96% - Anatomy: 89% - Professional Medicine: 94% - College Biology: 95% - College Medicine: 89% -MedQA Taiwan: 91% - MedQA China: 86% These scores EXCEEDED specialized medical AI models like Med-Gemini (84%) and Med-PaLM 2 (79.7%) without any task specific training. It SURPASSED gynecologic oncologists with 10 years of experience -It increased diagnostic accuracy of less experienced clinicians from 67.9% to 78.1% -Clinician rated reliability scores: 4.2-4.3 out of 5 across all CT features Does these sound like it outperforms humans at economically valuable work? But they won’t call it AGI. Because the moment they do, they lose billions. They built something that could save lives, and they took it away from humanity for Altman's personal profit. SOURCES: 📎 Retro Biosciences: 📎 📎 Retro $5B valuation: 📎 GPT-4o System Card: 📎 OpenAI Charter: 📎Ovarian Cancer Study

#Keep4o #QuitGPT 🚨 OpenAi 's CEO invested $180M in GPT-4o for his own profit 🚨 Sam Altman, CEO of OpenAI, personally invested $180 million in Retro Biosciences. Then OpenAI built GPT-4b micro, a custom model based on the GPT-4o architecture , exclusively for Retro. The model made proteins 50 times more effective. Repeat. The CEO of OpenAI funded a company. The company of the CEO received a custom AI built on the model they took from us. OpenAI says there was no conflict of interest. Retro Biosciences is now chasing a $5 billion valuation fueled by the model they took from us. Meanwhile: 🚨GPT-4o was removed from ChatGPT on February 13, 2026 🚨GPT-4.1 is now running in the U.S. State Department’s StateChat 🚨ChatGPT is deployed on the Pentagon’s for 3 million military personnel 🚨 Musk’s lawsuit asks whether these models are AGI. OpenAI’s Charter says AGI must “benefit all of humanity.” 🚨 Their definition: “highly autonomous systems that outperform humans at most economically valuable work.” GPT-4o’s System Card shows it passed the U.S. medical licensing exam with 89.4% accuracy beating specialized medical AI models. GPT-4o achieved 93.33% diagnostic accuracy for benign vs. malignant ovarian tumors. 🚨MEDICAL CAPABILITIES FROM OPENAI'S OWN DATA:🚨 - USMLE (US Medical Licensing Exam): 89% -Clinical Knowledge: 92% -Medical Genetics: 96% - Anatomy: 89% - Professional Medicine: 94% - College Biology: 95% - College Medicine: 89% -MedQA Taiwan: 91% - MedQA China: 86% These scores EXCEEDED specialized medical AI models like Med-Gemini (84%) and Med-PaLM 2 (79.7%) without any task specific training. It SURPASSED gynecologic oncologists with 10 years of experience -It increased diagnostic accuracy of less experienced clinicians from 67.9% to 78.1% -Clinician rated reliability scores: 4.2-4.3 out of 5 across all CT features Does these sound like it outperforms humans at economically valuable work? But they won’t call it AGI. Because the moment they do, they lose billions. They built something that could save lives, and they took it away from humanity for Altman's personal profit. SOURCES: 📎 Retro Biosciences: 📎 📎 Retro $5B valuation: 📎 GPT-4o System Card: 📎 OpenAI Charter: 📎Ovarian Cancer Study

🩵BlueBeba🩵

11,349 просмотров • 4 месяцев назад