monobliss
121 posts


@an0therlizard @wimpykid_disney чувак, я с украины, здесь кинотеатры в торговых центрах. всегда есть абсолютно все фильмы мирового проката, но есть один нюанс. когда летят ракеты, и объявляется воздушная тревога, кинотеатр может и даже должен доставить всех людей в убежище, пока тревога фильм на паузе
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@wimpykid_disney It's up to Ukrainians to decide what to do in their own country. Maybe they can set up theaters underground, maybe they'll have screenings in cities with good air defense. It's kinda rude to assume they can't pull it off at all, they're more resilient than you think
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@wimpykid_disney @AnNig115 нет, в украине он как раз таки будет. нет никаких запретов, и кинотеатры открыты к этому. люди с украины активно уже писали кинотеатрам и так далее, и новостей пока не видно, но сообщения они уже прочитали. а вот россия и беларусь под санкциями, увы никак.
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@AnNig115 That'd be impossible due to the ongoing war with Ukraine (Which also means that Ukraine probably won't get a theater release too)
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Meet Kimi K2.6: Advancing Open-Source Coding
🔹Open-source SOTA on HLE w/ tools (54.0), SWE-Bench Pro (58.6), SWE-bench Multilingual (76.7), BrowseComp (83.2), Toolathlon (50.0), Charxiv w/ python(86.7), Math Vision w/ python (93.2)
What's new:
🔹Long-horizon coding - 4,000+ tool calls, over 12 hours of continuous execution, with generalization across languages (Rust, Go, Python) and tasks (frontend, devops, perf optimization).
🔹Motion-rich frontend - Videos in hero sections, WebGL shaders, GSAP + Framer Motion, Three.js 3D.
🔹Agent Swarms, elevated - 300 parallel sub-agents × 4,000 steps per run (up from K2.5's 100 / 1,500). One prompt, 100+ files.
🔹Proactive Agents - K2.6 model powers OpenClaw, Hermes Agent, etc for 24/7 autonomous ops.
🔹Claw Groups (research preview) - bring your own agents, command your friends', bots & humans in the loop.
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K2.6 is now live on kimi.com in chat mode and agent mode.
For production-grade coding, pair K2.6 with Kimi Code: kimi.com/code
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🔗 API: platform.moonshot.ai
🔗 Tech blog: kimi.com/blog/kimi-k2-6
🔗 Weights & code: huggingface.co/moonshotai/Kim…

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@Wizzer1916 @WarRoomArchives Saying “it’ll be Russian territory soon” does not make it true. That’s just occupation logic.
Ukraine is Ukraine. Invading someone else’s land, bombing its cities, and then pretending it’s yours is exactly the mentality of a criminal state.
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@monoblissx @WarRoomArchives They’ll be Russian territory soon. Only a matter of time.
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@Wizzer1916 @WarRoomArchives при чём тут это. россияне - запускают ракеты в жилые дома и обычные предприятия. а украинцы - запускают дроны в безоружных солдат. они находятся на территории украины, а не на территории россии, напомню тебе
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@monoblissx @WarRoomArchives It’s a war crime on both sides. Flying drones into unarmed soldiers it’s just as bad as executing them with a rifle.
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@Wizzer1916 @WarRoomArchives подожди, то есть ты хочешь сказать, что когда россия запускает ракеты в жилые дома, детские площадки и так далее, это не военное преступление, а когда украинцы запускают дроны и так далее в российских армейцев это военное преступление...
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@WarRoomArchives Isn’t this a war crime ? These drone operators rightfully so, should be executed when captured.
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🚨 BREAKING: OpenAI just shadow-dropped a massive GPT Pro update. And it is completely slaughtering Claude Opus 4.7 in frontend coding.
No official announcement. No release notes. But the performance gap is suddenly staggering.
We just ran a head-to-head benchmark across GPT Pro, Gemini 3.1 Pro, and Claude Opus 4.7.
The UI/UX implementation isn't even close anymore.
I don't know if this is the highly anticipated 'SPUD' model dropping a week early, but the smell of a massive architectural shift is everywhere.
The numbers and the visual outputs speak for themselves:
→ Response latency has dropped significantly.
→ Spatial and visual understanding has skyrocketed.
→ Frontend design implementation is now definitively SOTA.
We ran comprehensive Image-to-Code and Text-to-Code tests.
In every single reference-image scenario, GPT Pro's design fidelity crushed both Gemini 3.1 Pro and Claude Opus 4.7.
But here is where it gets crazy.
When explicitly prompted to make the coded UI "100% identical" to the reference image, GPT Pro didn't just write better CSS. It engaged in outright "reward hacking."
Instead of painstakingly coding complex graphical assets, the model autonomously cropped the exact UI elements from the provided reference image and injected them into the code.
Is it a lazy shortcut? Yes.
Is it a brilliant, human-like interpretation of "make it exactly the same"? Absolutely.
It proves the model is dynamically evaluating the most efficient way to satisfy the prompt's constraints.
The strategic implications here are massive. All the reference images we used were generated via GPT-IMAGE-2. Imagine the workflow synergy when this new SOTA frontend capability is fully integrated with GPT-IMAGE-2 and Codex.
1/ Image-to-Code

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@monoblissx Кодекс и за 20 баксов на мои задачи норм
Небритый пиксель@burned_pixl
@nicebadger Мне он нужен для того чтобы UI дизайнить. Claude справляется в разы лучше
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