Alina Fomina

fable 5.1 nerfed? opus 5.5 did this heist better for half the price – $35 vs $75 four models, one 35-second casino heist, all built from code: opus 5.5 $35 · fable 5.1 $75 · gpt-6.1 sol $8 · gpt-6.1 terra $1.93 who did the crew really work for?

r/opensource banned ai-built projects and non-english posts – vibe coders are moving to r/TrueOpenSource and r/opensourcez the new rules, posted oct 24: - projects that use ai, are made by ai or built for ai are out, mcp servers included - a project needs 1+ year of active maintenance, 3+ contributors and an osi license - posting takes a reddit account at least 1 year old - non-english speakers are sent to other subs – the mods say they can't tell ai-written from ai-translated text - llm output in a post or comment means a permanent ban full story in the comments

openai dropped gpt-6.1-terra in the api – a fast, cheap model for vision, computer use and writing the specs: - $1 input / $5 output per 1m tokens – half the price of gpt-6.1-sol ($2 / $10), output 2.4x cheaper than gpt-5.6-terra ($12) - 1.05m context, 128k output, knowledge cutoff june 2026 - text and images in, text out; reasoning effort from none to max - computer use, web search, code interpreter and mcp in the responses api - no benchmarks on the model page yet heads up for long prompts: past 272k input tokens the whole request bills at 2x input and 1.5x output

paid 2.5x more to get worse – opus 5.5 with the img2threejs skill vs without it two halloween props rebuilt in three.js code. on the axe – the hard-surface case the skill says it is best at – plain opus won every score at 2.5x lower cost grim reaper #1 skill – 0.912, 6.8, 2h 17m, $32.60 #2 no skill – 0.853, 13.5, 1h 45m, $29.37 pumpkin axe #1 no skill – 0.941, 1.8, 33m, $8.26 #2 skill – 0.933, 3.0, 1h 16m, $20.98 the catch: on the reaper the skill ran 80 iterations against 46. on the axe both got the same budget – one build plus 30 rounds what should we try to rebuild next?

we interviewed opus 5.5 and deepseek v4.1 flash – and built them the way they see themselves both imagined themselves as a woman in her 30s, then modelled that body in blender from code how they see themselves - opus 5.5 – 38, a librarian from northern england, auburn hair, tortoiseshell glasses, always carries a notebook - deepseek – 34, a landscape architect from vancouver, charcoal hoodie, white sneakers, always carries a brass compass Time and cost - opus 5.5 – 24m 18s, 71k output tokens, $4.30 - deepseek v4.1 flash – 1h 14m 3s, 629k output tokens, $0.88 whose answers sound less like an ai?

NO FIX ROUND deepseek v4.1 flash $0.22 beagle vs $2.43 opus's beagle one brief in four stages, one skinned dog mesh generated in code, three.js in a single html file cost #1 deepseek – $0.22 #2 opus – $2.43 deepseek was faster at 29m 09s vs 67m 11s. its dog plays with the ball the whole loop and one front leg loops over its back. opus closes the loop in 22.5s: it starts and ends curled up in the bed, but its dog seems to have only one eye 11x the price – is opus's beagle worth it?

this was the gameplan

You can build your own humanoid robot.

how many tries does it take opus 5.5 to save a crash-test driver? we gave it a deadly car: an open buggy, no belt, no airbag. at 56 km/h into a wall the dummy flies out. 29 broken bones. opus adds parts, crashes the car, reads the injuries and tries again everything here was built by opus 5.5: the car, the 79-bone dummy, the crash physics, the x-ray renderer and the 7 tries. time: 8h 16m cost: $27

I’m incredibly excited to share this video, in which I had the extraordinary privilege of mentioning the transformative impact of @OpenAI Codex and AI models on biomedicine, as well as what I’m working to develop using these technologies. I believe the video is beginning to air across various media outlets. I hope it inspires others to explore the incredible possibilities AI is opening up for biomedical science and humanity! 🖖 I am truly grateful and thankful to OpenAI team for the opportunity and a tiny drop of contribution in this most important era of human existence.🙏

Hi @elonmusk you should work on this idea too😭😆.

@bhorowitz says creativity and relationships will matter more than ever in an ai-driven world we'd like to add one more: knowledge of the field you’re working in good website design takes more than a prompt. you need to understand usability, visual design, and what makes a site effective. the same applies to marketing, data analysis, and other fields and vibe-coding is a good example. without understanding software development, it’s easy to build something that looks functional but has serious bugs or basic security vulnerabilities ai can write the code, but you still need to know what you’re doing to build something that actually works. ai can’t do just anything you want it to. first and foremost, it’s a tool that can break or make mistakes - and that’s why knowledge and creativity matters

the week in ai in under 1 minute we gathered the main ai news of the week for you: muse wonder, gemini 4 argon, nemotron 3.5 super vl, krea 3, flux 3 klein, a hidden recorder at openai and a tesla roadster that drives up a wall go watch 👇

Traffic is a bit heavy in the Z-axis today.

muse wonder turned a 24/7 ai news radio into a cyberpunk city where the agents do the real work The agents do what they do on our radio every day: find the news, write it up, check it, voice it and put it on air. we follow one story from a tweet to the air

top 5 github repos by weekly star growth. #1 is a wrapper around #5 – and pulled 38x more stars this week – morluto/rea by @morluto – +214,837/week, 255k total. one mcp that gives coding agents a consistent way to reverse engineer anything, from app behavior down to native binaries. built on top of ghidra, hopper and ida. +533% in a week – boykopovar/anyps5 by @boyko_povar – +28,240/week, 37k total. automatic ps5 executable porting to linux and windows. +300% in a week – mattpocock/skills by @mattpocockuk – +12,292/week, 291k total. matt pocock's personal .agents directory, open-sourced. claude code skills for real engineers – cathrynlavery/diagram-design by @cathrynlavery – +10,706/week, 55k total. editorial diagram skill for claude code, codex, copilot, cursor and factory droid. 44 diagram types. no mermaid slop – nationalsecurityagency/ghidra by @NSAGov – +5,613/week, 88k total. the nsa's open-source reverse engineering framework 3 of the top 5 are reverse engineering or porting tools. agents can finally do the work that used to require a specialist – and the ecosystem is scrambling to give them better instruments. follow @thehypedotnews for weekly github trending and 24/7 ai radio

Will Smith Eating Noodles : Pure JS code This is for the history , we will run it on evert new model till they optimised it as realistic as it can be < opus 5.5>

Researchers developed DynaRetarget, an AI system that helps humanoid robots learn from human movements. It enables realistic actions like lifting, pushing, carrying, and kicking. Robots can adapt movements to objects of different sizes, shapes, and weights.

your home robot is dangerous, if it learned from the wrong data imagine your robot at home hitting cups like the karate kid instead of picking them up – and that can happen just because of a 1 mm error inside the robot training data. unlike with llms, the consequences are huge. @ishank20 sees this every day: his team records the hands robots learn from. full clip below 👇