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Dennis Gustafsson me and gpt 5.5 found a bug that didn't make it deterministic and fixed it

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152,633 görüntüleme • 12 gün önce •via X (Twitter)

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Well, that was fast - we've found the issue and fixed it. We're preparing a patch now and will do our best to make sure it gets over to you ASAP.
0:11

Well, that was fast - we've found the issue and fixed it. We're preparing a patch now and will do our best to make sure it gets over to you ASAP.

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On PS5 quite a few people reported this horrible visual bug with water and underwater base parts, affecting both VR and flat-mode. A fix is now in today’s experimental build and should make it to a future patch. My bug - rolling eyes when I found it.
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On PS5 quite a few people reported this horrible visual bug with water and underwater base parts, affecting both VR and flat-mode. A fix is now in today’s experimental build and should make it to a future patch. My bug - rolling eyes when I found it.

Martin Griffiths

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This kitten was found alone on the street and given to a mom cat whose kittens didn't make it 😭😭
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This kitten was found alone on the street and given to a mom cat whose kittens didn't make it 😭😭

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This kitten was found alone on the street and given to a mom cat whose kittens didn't make it 🥺❤️
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This kitten was found alone on the street and given to a mom cat whose kittens didn't make it 🥺❤️

We don't deserve cats 😺

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Zenith took GPT-5.5 from 5th to 1st on Frontier SWE. Emad and Peter H. Diamandis, MD talk it through, and more, on Moonshots.
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Zenith took GPT-5.5 from 5th to 1st on Frontier SWE. Emad and Peter H. Diamandis, MD talk it through, and more, on Moonshots.

Intelligent Internet

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Technically TECHNICALLY worms aren’t bugs. They’re features. 🤓☝️ Okay so this is a bug and it did get fixed but NOT BEFORE I GOT FOOTAGE OF IT
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Technically TECHNICALLY worms aren’t bugs. They’re features. 🤓☝️ Okay so this is a bug and it did get fixed but NOT BEFORE I GOT FOOTAGE OF IT

Fantastic Pixel Castle

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Anthropic’s Mythos raised the bar for AI vuln detection but kept it invite-only. GPT-5.5 is OpenAI’s answer, and it’s open to all. We had early access. Ran the benchmarks. Blackbox GPT-5.5 already beats whitebox GPT-5. Best pentesting model we’ve tested. Read our analysis:
0:14

Anthropic’s Mythos raised the bar for AI vuln detection but kept it invite-only. GPT-5.5 is OpenAI’s answer, and it’s open to all. We had early access. Ran the benchmarks. Blackbox GPT-5.5 already beats whitebox GPT-5. Best pentesting model we’ve tested. Read our analysis:

XBOW

208,830 görüntüleme • 2 ay önce

GPT 5.5 Pro (spud in web) makes realistic ocean water + boat physics in threejs "generate ultra realistic water in threejs with a boat on it and occasional waves hitting it, real physics" not bad
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GPT 5.5 Pro (spud in web) makes realistic ocean water + boat physics in threejs "generate ultra realistic water in threejs with a boat on it and occasional waves hitting it, real physics" not bad

jasper

22,446 görüntüleme • 2 ay önce

We released physics-intern: a simple harness for science problems! It gets models like Gemini 3.1 Pro to go from 17.7 -> 31.4, thus beating GPT 5.5 Pro. The physics-intern harness can wrap any model and via dedicated subagent boost the performance of the vanilla reasoning models. While I think more and more of these harness capability gains will be absorbed into the models (like prompting tricks disappeared over time) there is a lot to be gained right now by building good scaffolds for those models and integrating tools well. Interestingly, the exception we found that GPT 5.5 Pro actually didn't benefit from the physics-intern harness! Read more about it here: PS: I think the Harness[Model] notation is kind of nice.
0:12

We released physics-intern: a simple harness for science problems! It gets models like Gemini 3.1 Pro to go from 17.7 -> 31.4, thus beating GPT 5.5 Pro. The physics-intern harness can wrap any model and via dedicated subagent boost the performance of the vanilla reasoning models. While I think more and more of these harness capability gains will be absorbed into the models (like prompting tricks disappeared over time) there is a lot to be gained right now by building good scaffolds for those models and integrating tools well. Interestingly, the exception we found that GPT 5.5 Pro actually didn't benefit from the physics-intern harness! Read more about it here: PS: I think the Harness[Model] notation is kind of nice.

Leandro von Werra

97,181 görüntüleme • 1 ay önce

> GPT 5.5 & GPT 5.5 pro release > No wall in site > employees are already talking about the GPT 6 > Deepseek v4 Releases >TPU v8 Releases > Googles getting 960k vera Rubin’s > Tesla Robotaxi reaches 1M miles with no accidents > Stock market all time highs It was a good week bros..
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> GPT 5.5 & GPT 5.5 pro release > No wall in site > employees are already talking about the GPT 6 > Deepseek v4 Releases >TPU v8 Releases > Googles getting 960k vera Rubin’s > Tesla Robotaxi reaches 1M miles with no accidents > Stock market all time highs It was a good week bros..

Chris

29,512 görüntüleme • 2 ay önce

I tried to make friends with a black guy and it didn't go well
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I tried to make friends with a black guy and it didn't go well

James

11,684 görüntüleme • 7 ay önce

We partnered with Harvey to post-train the state-of-the-art legal agent on their LAB benchmark. It surpasses Opus 4.8 Max and GPT-5.5 xhigh.
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We partnered with Harvey to post-train the state-of-the-art legal agent on their LAB benchmark. It surpasses Opus 4.8 Max and GPT-5.5 xhigh.

Applied Compute

25,646 görüntüleme • 25 gün önce

BREAKING: Anthropic just dropped Opus 4.8—and it is a MONSTER We've been testing for about a week Every 📧 and our verdict is they could've just called it Opus 5, it's that good. Here's our vibe check: - Beats GPT-5.5 on Senior Engineer bench. On our toughest benchmark Opus 4.8 scores a 63—a hair higher than GPT-5.5's score of 62, and a full 30 points higher than Opus 4.7. It tackled a ground-up rewrite of a production codebase, and actually built something that works. HOWEVER: Coding performance varied a lot at different reasoning levels. We recommend using it on xhigh for best results. - Incredibly good writer. Opus 4.8 scored a 79.6 on our writing benchmark—measuring models on real-world writing tasks we do all of the time like essay writing, promo email writing, and more. It beats GPT-5.5 by 6 points. It produces well-written prose with fewer "AI-isms". It's also very good at writing in your voice given the right context. HOWEVER: Writing performance also varied with reasoning levels. Medium reasoning had higher incidence of AI-isms—we found best results with high. - Beast at knowledge work. Opus 4.8 is very good at general knowledge work tasks like report creation, research and more. It produced the best PowerPoint one-shot we've ever seen on our deck generation benchmark. - Emotionally intelligent, willing to question the frame. I've also found it to be quite good at talking through psychological or interpersonal issues. It has a high EQ, and it's also good at not glazing and helping to expand your perspective. Its thought process feels extremely rich and dynamic. THE BAD: These days a model is only as good as its harness, and Codex is still a far superior harness to the Claude Desktop app. This has kept me using Codex + GPT-5.5 as my daily driver, but I am flipping back and forth a lot more between Codex and Claude. Anthropic is back baby! Read the rest on Every 📧:
0:11

BREAKING: Anthropic just dropped Opus 4.8—and it is a MONSTER We've been testing for about a week Every 📧 and our verdict is they could've just called it Opus 5, it's that good. Here's our vibe check: - Beats GPT-5.5 on Senior Engineer bench. On our toughest benchmark Opus 4.8 scores a 63—a hair higher than GPT-5.5's score of 62, and a full 30 points higher than Opus 4.7. It tackled a ground-up rewrite of a production codebase, and actually built something that works. HOWEVER: Coding performance varied a lot at different reasoning levels. We recommend using it on xhigh for best results. - Incredibly good writer. Opus 4.8 scored a 79.6 on our writing benchmark—measuring models on real-world writing tasks we do all of the time like essay writing, promo email writing, and more. It beats GPT-5.5 by 6 points. It produces well-written prose with fewer "AI-isms". It's also very good at writing in your voice given the right context. HOWEVER: Writing performance also varied with reasoning levels. Medium reasoning had higher incidence of AI-isms—we found best results with high. - Beast at knowledge work. Opus 4.8 is very good at general knowledge work tasks like report creation, research and more. It produced the best PowerPoint one-shot we've ever seen on our deck generation benchmark. - Emotionally intelligent, willing to question the frame. I've also found it to be quite good at talking through psychological or interpersonal issues. It has a high EQ, and it's also good at not glazing and helping to expand your perspective. Its thought process feels extremely rich and dynamic. THE BAD: These days a model is only as good as its harness, and Codex is still a far superior harness to the Claude Desktop app. This has kept me using Codex + GPT-5.5 as my daily driver, but I am flipping back and forth a lot more between Codex and Claude. Anthropic is back baby! Read the rest on Every 📧:

Dan Shipper 📧

353,332 görüntüleme • 1 ay önce

Holy shlit. They found a way to bring back slavery and make it woke.
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Holy shlit. They found a way to bring back slavery and make it woke.

End Wokeness

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Salute to the Qwen team 🫡 We tested Qwen 3.7-Max, Gemini 3.5 Flash, GPT-5.5, and Claude Opus 4.7. The biggest shock came from Qwen. In less than a month (3.6 Max dropped April 20), Qwen went from the worst multimodal output on our sakura tree test, barely keeping up with Gemini, GPT, and Claude , to matching Gemini 3.5 Flash frame for frame on this soccer test, and outperforming GPT-5.5 and Claude Opus 4.7. It rendered a perfectly proportioned soccer player and the most lifelike ball in the entire test. Remarkable spatial reasoning. Also: Gemini 3.5 Flash is now faster than GPT-5.5, which used to be the fastest in our past tests.
0:17

Salute to the Qwen team 🫡 We tested Qwen 3.7-Max, Gemini 3.5 Flash, GPT-5.5, and Claude Opus 4.7. The biggest shock came from Qwen. In less than a month (3.6 Max dropped April 20), Qwen went from the worst multimodal output on our sakura tree test, barely keeping up with Gemini, GPT, and Claude , to matching Gemini 3.5 Flash frame for frame on this soccer test, and outperforming GPT-5.5 and Claude Opus 4.7. It rendered a perfectly proportioned soccer player and the most lifelike ball in the entire test. Remarkable spatial reasoning. Also: Gemini 3.5 Flash is now faster than GPT-5.5, which used to be the fastest in our past tests.

GMI Cloud

75,785 görüntüleme • 1 ay önce

This didn't make it in the video for obvious reasons, but thought it was cool/funny enough to post. Hit it in 6v6 and that rat kid really didnt wanna die to me coming out of spawn and started spamming movement.. WELP
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This didn't make it in the video for obvious reasons, but thought it was cool/funny enough to post. Hit it in 6v6 and that rat kid really didnt wanna die to me coming out of spawn and started spamming movement.. WELP

SoaR Alastor

26,492 görüntüleme • 2 ay önce

i didn't know that sound played here and it lowkey kinda startled me NGUJKNSAKJGBNKJHSBNGEKUJHG UIO
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i didn't know that sound played here and it lowkey kinda startled me NGUJKNSAKJGBNKJHSBNGEKUJHG UIO

Ramb's #1 Famb (she/her)

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LongCat performed Opus 4.8 and GPT 5.5 level on real physics tasks for $0! We gave 4 models the same prompt: build three self-contained HTML5 canvas scenes with real physics Prompts: - A cannon demolishing a brick wall - A bowling ball knocking down the pins - A tornado that sucks in random objects Outputs: LongCat: 18,015 tokens, $0.00 Opus 4.8: 18,872 tokens, $0.48 GPT 5.5: 32,588 tokens, $0.98 GLM 5.2: 31,062 tokens, $0.09 On the physics LongCat came out ahead of Opus 4.8 and GLM 5.2 - cleaner collisions, nothing clipping or falling through. On detail and rendering it matched GPT 5.5, the best looking of the four. Getting this quality for free is wild!
0:16

LongCat performed Opus 4.8 and GPT 5.5 level on real physics tasks for $0! We gave 4 models the same prompt: build three self-contained HTML5 canvas scenes with real physics Prompts: - A cannon demolishing a brick wall - A bowling ball knocking down the pins - A tornado that sucks in random objects Outputs: LongCat: 18,015 tokens, $0.00 Opus 4.8: 18,872 tokens, $0.48 GPT 5.5: 32,588 tokens, $0.98 GLM 5.2: 31,062 tokens, $0.09 On the physics LongCat came out ahead of Opus 4.8 and GLM 5.2 - cleaner collisions, nothing clipping or falling through. On detail and rendering it matched GPT 5.5, the best looking of the four. Getting this quality for free is wild!

atomic.chat

104,522 görüntüleme • 17 gün önce

I built a Bing AI clone called Zing! Featuring functional GPT-4 and Bing API search integration. I didn't write a single line of code; I just asked, and GPT-4 did the rest 🤯😅 It took roughly 2 hours. Hosted on Replit ⠕
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I built a Bing AI clone called Zing! Featuring functional GPT-4 and Bing API search integration. I didn't write a single line of code; I just asked, and GPT-4 did the rest 🤯😅 It took roughly 2 hours. Hosted on Replit ⠕

Pietro Schirano

581,465 görüntüleme • 3 yıl önce

A fun Android root exploit that we built over the 4th of July weekend. It works on the latest Samsung S26 Ultra and should work across the entire Galaxy S lineup. We reported the bug to Samsung and will share the technical details after it's fixed.
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A fun Android root exploit that we built over the 4th of July weekend. It works on the latest Samsung S26 Ultra and should work across the entire Galaxy S lineup. We reported the bug to Samsung and will share the technical details after it's fixed.

Calif

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