Nine other models kept adding blocks until their towers collapsed.
Opus 5 built a solid base, recognized it was already ahead and chose not to gamble it all on one more piece.
Opus 5 built a solid base, recognized it was already ahead and chose not to gamble it all on one more piece.
OpenAI is treating upcoming model Astra as their first critical model for cybersecurity They updated GPT-5.6 Sol for Plus and Pro users with a…
Here's what I fixed: - patched the holes in the world - packed it with props so it actually feels alive - added touch controls, fully playable on…
واليوم الذكاء الاصطناعي اختصر الطريق! 💥 مع Kimi Slides، تقدر تحول فكرة بسيطة إلى بريزنتيشن بفخامة عروض شركة ماكينزي وبأقل وقت ممكن ⏱️ تعطي Kimi…
Producing a complete game in 10 minutes instead of a 9-hour loop.
It’s been about a week. The site is live with: • Blind human voting on the same prompts • First quality-vs-cost
"overconstraining Claude Code with system prompts and CLAUDE.md files actually degrades output quality" in this 82-second breakdown they reveal how…
乱舞⚔️ Claude Opus 5 x Seedance 2.5 #Kinovi kinovi_ai プロンプト👇
Dropped my $200/mo claude plan for this. gpt-5.6 + sol-advisor actually keeps you from slamming into codex usage caps.
Opus 5 rendered it beautifully into a Unity scene and replicated it with the magic mechanics I've been working on.
I sell $1.5K local sites. maps -> barber dentist hvac with no site claude + lovable + nano banana same night packages $500-$8k retainers $100-$800/mo…
Yes, Meta. They quietly retired Llama and built a whole new model line called Muse Spark. Muse Code is the star.
والمذهل أن كل ذلك تم من خلال برومبت واحد فقط، حيث تولّى الذكاء الاصطناعي إنشاء: - تصميم الشخصيات - الصور والرسومات - الأصوات - اللعبة نفسها كل هذا…
Gemini filled the screen and still gave you a skeleton with no detail...
I just build a Mars rover game with a single prompt and the output is far better than any other model till date can't wait to try GPT Astra as it's…
The loop that used to need a team now maintains itself while nobody is awake to watch it.
Terminal-bench 2.1: 82.9 vs 86.7 – deepswe 1.1: 59.3 vs 65.0 – their own internal bench: 70.6 vs 79.4 meta picked these benchmarks themselves, then…