Jonas Sobotka

13.8K posts

Jonas Sobotka

Jonas Sobotka

@skyynex

Freelance web developer 💻 Fintech & AI enthusiast

Katılım Ekim 2019
360 Takip Edilen311 Takipçiler
Jonas Sobotka retweetledi
Andrej Karpathy
Andrej Karpathy@karpathy·
Personal update: I've joined Anthropic. I think the next few years at the frontier of LLMs will be especially formative. I am very excited to join the team here and get back to R&D. I remain deeply passionate about education and plan to resume my work on it in time.
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Luke
Luke@ldo_dev·
Creating a new logo shouldn't take ages. I wanted something fast, simple and free. So I built Logo Lattice. 100% free. 100% browser based. 100% ownership of creations. Link in first comment 👀
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R𝛼m🦅
R𝛼m🦅@rambuilds_·
Why 90% of CS undergrads are doing MERN stack ? Isn’t it outdated??
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How To AI
How To AI@HowToAI_·
Chinese researchers have developed the best shortest-path algorithm in 41 years! Dijkstra’s Algorithm has been the undefeated king of the shortest path for over 40 years. Whether you’re using Google Maps, booking a flight, or routing internet packets, Dijkstra is the engine running in the background. Since 1984, textbooks have taught that its efficiency was hit by a "sorting barrier." To find the shortest path, you have to sort the points by distance. And sorting has a mathematical floor you can’t cross. Until now. A research team from Tsinghua University just published a paper that shatters the 41-year-old record. They proved that Dijkstra is not optimal. By combining the logic of the Bellman-Ford algorithm with a revolutionary "recursive partial ordering" method, they figured out how to find the path without fully sorting the nodes. The results are a massive shift in theoretical computer science: - The first deterministic improvement to the Single-Source Shortest Path (SSSP) problem since 1984. - A new time complexity of $ O(m \log^{2/3} n)$, officially beating the long-standing $ O(m + n \log n)$ limit. - On massive sparse graphs (like the web or global logistics), this means finding the best route significantly faster than previously thought possible. For four decades, the greatest minds in algorithms believed this limit was absolute. Last year, even the legendary Robert Tarjan won an award proving Dijkstra was "optimally efficient" at sorting distances. Tsinghua’s answer? Stop sorting. The world’s most settled problem is suddenly wide open again. If we can break a 40-year-old law in basic graph theory, what other "impossible" speed limits are waiting to be crushed?
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Jonas Sobotka
Jonas Sobotka@skyynex·
@GalaxyGemX @imdresscode @iyoushetwt LLMs don’t “know themselves” like humans do. They lack self-awareness, consciousness, and a true understanding of their own existence. When asked things like “What model are you?” or “What can you do?”, they generate responses from learned patterns, training data, instructions
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Jonas Sobotka
Jonas Sobotka@skyynex·
@GalaxyGemX @imdresscode @iyoushetwt What are you talking about? This does not mean the AI is conscious or magical. It just means the system is too complex to fully trace in human-readable terms.
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Ayushi☄️
Ayushi☄️@iyoushetwt·
Bro just disappeared like he was never part of the history.
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Jonas Sobotka
Jonas Sobotka@skyynex·
@GalaxyGemX @imdresscode @iyoushetwt No, that’s not wrong. These models have this information hardcoded into them, so they can produce answers. But they don’t actually have self-awareness or true knowledge about themselves.
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Reethu
Reethu@ritu_twts·
Is anyone still using Postman in this AI era?
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Kimi.ai
Kimi.ai@Kimi_Moonshot·
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. - 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 - 🔗 API: platform.moonshot.ai 🔗 Tech blog: kimi.com/blog/kimi-k2-6 🔗 Weights & code: huggingface.co/moonshotai/Kim…
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Claude
Claude@claudeai·
Introducing Claude Opus 4.7, our most capable Opus model yet. It handles long-running tasks with more rigor, follows instructions more precisely, and verifies its own outputs before reporting back. You can hand off your hardest work with less supervision.
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erik
erik@flowstated·
cursor now has design mode (⇧+⌘+D) - click to edit, drag to draw - shift + drag to box things in - add directly to chat with ⌥+click
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Humi
Humi@byteHumi·
lmao I can't stop laughing claude-code has a "Frustrated User Detection" There's a regex that detects when you're angry ( fully hard coded btw) When triggered, it changes Claude's behavior/UI state. Claude literally knows when you're cussing at it.
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Pratyush
Pratyush@dpratyush02·
Got GitHub Copilot Pro for absolutely free for the next 2 years 😋 Now I’ll be using Claude Opus 4.6
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AI at Meta
AI at Meta@AIatMeta·
Today we're introducing TRIBE v2 (Trimodal Brain Encoder), a foundation model trained to predict how the human brain responds to almost any sight or sound. Building on our Algonauts 2025 award-winning architecture, TRIBE v2 draws on 500+ hours of fMRI recordings from 700+ people to create a digital twin of neural activity and enable zero-shot predictions for new subjects, languages, and tasks. Try the demo and learn more here: go.meta.me/tribe2
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Khushi
Khushi@khushiirl·
2016: HTML, CSS, JavaScript 2026:
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Remix
Remix@RemixDotOne·
@Govindtwtt AI frontend is only as good as your design eye. If you can describe spacing, hierarchy, and feel precisely, the gap closes fast. If you can’t, that’s not an AI problem.
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Prasenjit
Prasenjit@Star_Knight12·
Next.js just quietly removed its biggest weakness for years, deploying Next.js outside Vercel was a mess every platform had to reverse-engineer the build output just to make it work, that’s literally why OpenNext existed in the first place now the Adapter API is finally stable in Next.js 16.2 built with AWS, Cloudflare, Netlify, Google cloud not against them 9,000+ tests are now the contract for every platform to follow read that again Next.js is no longer tied to one platform, it’s becoming a standard the framework that was criticized for lock-in is now forcing every cloud to compete on equal ground
Next.js@nextjs

Next.js 16.2 introduces a stable Adapter API, built with Netlify, Cloudflare, OpenNext, AWS, and Google Cloud. But the API is only part of the story. Next.js is used by millions of developers across every major cloud, and making it work well everywhere is on us. Here are our commitments. nextjs.org/nextjs-across-…

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Zay_Footy
Zay_Footy@Gooddy_Gooddy01·
Should the edit icon in this secondary button be placed on the left or right?
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Milan Jovanović
Milan Jovanović@mjovanovictech·
GitHub Copilot in Autopilot mode is insanse
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