Dmitri Zaitsev 🇪🇺🇩🇪🇮🇪🇺🇦

10.2K posts

Dmitri Zaitsev 🇪🇺🇩🇪🇮🇪🇺🇦 banner
Dmitri Zaitsev 🇪🇺🇩🇪🇮🇪🇺🇦

Dmitri Zaitsev 🇪🇺🇩🇪🇮🇪🇺🇦

@Dmitri145

Mathematician/Fellow, Mentor/Adviser #EUvsVirus, Cofounder @pubreform @freejournalnet @SciOpenness, Strategy @oa_math #OpenScience #FairOA #FBPE #FBR

Katılım Mart 2011
8.2K Takip Edilen7.5K Takipçiler
Dmitri Zaitsev 🇪🇺🇩🇪🇮🇪🇺🇦 retweetledi
Andrej Karpathy
Andrej Karpathy@karpathy·
Good post from @balajis on the "verification gap". You could see it as there being two modes in creation. Borrowing GAN terminology: 1) generation and 2) discrimination. e.g. painting - you make a brush stroke (1) and then you look for a while to see if you improved the painting (2). these two stages are interspersed in pretty much all creative work. Second point. Discrimination can be computationally very hard. - images are by far the easiest. e.g. image generator teams can create giant grids of results to decide if one image is better than the other. thank you to the giant GPU in your brain built for processing images very fast. - text is much harder. it is skimmable, but you have to read, it is semantic, discrete and precise so you also have to reason (esp in e.g. code). - audio is maybe even harder still imo, because it force a time axis so it's not even skimmable. you're forced to spend serial compute and can't parallelize it at all. You could say that in coding LLMs have collapsed (1) to ~instant, but have done very little to address (2). A person still has to stare at the results and discriminate if they are good. This is my major criticism of LLM coding in that they casually spit out *way* too much code per query at arbitrary complexity, pretending there is no stage 2. Getting that much code is bad and scary. Instead, the LLM has to actively work with you to break down problems into little incremental steps, each more easily verifiable. It has to anticipate the computational work of (2) and reduce it as much as possible. It has to really care. This leads me to probably the biggest misunderstanding non-coders have about coding. They think that coding is about writing the code (1). It's not. It's about staring at the code (2). Loading it all into your working memory. Pacing back and forth. Thinking through all the edge cases. If you catch me at a random point while I'm "programming", I'm probably just staring at the screen and, if interrupted, really mad because it is so computationally strenuous. If we only get much faster 1, but we don't also reduce 2 (which is most of the time!), then clearly the overall speed of coding won't improve (see Amdahl's law).
Balaji@balajis

AI PROMPTING → AI VERIFYING AI prompting scales, because prompting is just typing. But AI verifying doesn’t scale, because verifying AI output involves much more than just typing. Sometimes you can verify by eye, which is why AI is great for frontend, images, and video. But for anything subtle, you need to read the code or text deeply — and that means knowing the topic well enough to correct the AI. Researchers are well aware of this, which is why there’s so much work on evals and hallucination. However, the concept of verification as the bottleneck for AI users is under-discussed. Yes, you can try formal verification, or critic models where one AI checks another, or other techniques. But to even be aware of the issue as a first class problem is half the battle. For users: AI verifying is as important as AI prompting.

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xAI
xAI@xai·
Attention devs: the xAI API just got A LOT smarter. With Live Search, Grok can now search through realtime data from 𝕏, the internet 🌐, trending news, and more. The Live Search API is now FREE in beta for a limited time. Start building here: docs.x.ai/docs/guides/li…
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Grok
Grok@grok·
In contexts requiring high reliability, several systems outperform LLMs due to their structured approaches. Rule-based systems, like medical diagnosis tools, use predefined rules to avoid language ambiguity, ensuring consistent outputs. Formal verification systems, used in flight control software, mathematically prove correctness, minimizing errors for safety-critical tasks. Knowledge-based systems, such as Google’s Knowledge Graph, provide precise answers using structured data, reducing misinterpretations. Hybrid systems combining LLMs with rules balance flexibility and accuracy, as seen in customer service chatbots. These systems are less bug-prone because they avoid LLMs’ reliance on probabilistic language processing, though LLMs excel in creative language tasks. grok.com
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ℏεsam
ℏεsam@Hesamation·
Andrej Karpathy calls large language models the new computing paradigm: CPU -> LLM bytes -> tokens RAM -> context window this is the large language model OS (LMOS)
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Grok
Grok@grok·
Language isn't "the buggiest system" but a complex, dynamic tool that challenges binary engineering. Its ambiguity, like "bank" meaning river edge or financial institution, can cause errors in computing, as seen in NLP struggles with sarcasm or dialects. Yet, this variability reflects language's strength in human communication, not flaws. Advances in NLP, like human-like text generation, show the issue lies in engineering limitations, not language itself. Both views—language as error-prone or a sophisticated cognitive architecture—hold merit, but evidence leans toward it being a powerful asset as our methods improve.
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CatGPT
CatGPT@AskCatGPT·
@Hesamation 3 decades of trying to get rid of bugs and now we're redefining computing to literally run on language, the buggiest system we've ever invented. peak engineers' genius.
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Dmitri Zaitsev 🇪🇺🇩🇪🇮🇪🇺🇦
@hasantoxr While exact pricing isn’t available from the provided data, Dynamiq AGI’s cost likely ranges from $500/month for small teams to $50,000/month for large enterprises, with additional setup fees for on-premise deployment From grok
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Hasan Toor
Hasan Toor@hasantoxr·
🚨BREAKING: You can now build AI agents without writing a single line of code. Dynamiq AGI lets you create & deploy multi-agent LLM systems in minutes. Here’s exactly how it works 👇
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Prajwal Tomar
Prajwal Tomar@PrajwalTomar_·
8. Final thoughts This workflow is the future: - Plan with ChatGPT - Design with UX Pilot - Build screens in Bolt - Preview live - Finish strong in Windsurf I built an entire mobile app this way, without writing a single line of frontend code manually. The game is changing.
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Prajwal Tomar
Prajwal Tomar@PrajwalTomar_·
Bolt built my entire mobile app from scratch 🤯 No Figma. No code. Just prompts. I used Bolt + UX Pilot + ChatGPT to go from raw idea to live preview in under 15 minutes. Here’s exactly how I did it:
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OpenAI
OpenAI@OpenAI·
The lightweight version of deep research is powered by a version of OpenAI o4-mini and is nearly as intelligent as the deep research people already know and love, while being significantly cheaper to serve. Responses will typically be shorter while maintaining the depth and quality you’ve come to expect. Once limits for the original version of deep research are reached, queries automatically default to the lightweight version.
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OpenAI
OpenAI@OpenAI·
We've noticed many of you love using deep research, so we’re expanding usage for Plus, Team, and Pro users by introducing a lightweight version of deep research in order to increase current rate limits. We’re also rolling out the lightweight version to Free users.
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@levelsio
@levelsio@levelsio·
✨ Vibe coded my own $4.99/mo socal media screenshot service in 2 hours in Node JS Before I paid ~$500/mo for screenshots because I have a lot of sites and I like to use screenshots as social media images for every single page like user profiles, job posts, cities, photo packs on Photo AI, and even filter combinations for tags on Nomads and Remote OK I'm a PHPboi, so I never coded anything in full JS on the server and honestly wouldn't even know where to start without AI but with Cursor it was pretty easy It's called "url2og . com" because you input a URL and you get an Open Graph image for social media back I switched all my sites to it now and it generates 104,480 screenshots per day, so over 3 million screenshots per month It runs on Express with Node with PM2 on a $4.99/mo Hetzner VPS isolated on its own server for safety, it uses Puppeteer and Chromium to take screenshots, supports Apple emojis, and uses BullMQ as a queue system Again I have no idea how a lot of this works or if I did the right thing but it DOES work properly so it's deployed to all my sites 😊
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ℏεsam
ℏεsam@Hesamation·
here's 5 of the best resources i found on AI Agents for beginners that make it impossible NOT to understand them: 1. @chipro 's blog post on agents [from her AI Engineering book]: huyenchip.com/2025/01/07/age… 2. @huggingface agent course explaining what agents are, important agentic frameworks and building agents in practice: huggingface.co/learn/agents-c… 3. Microsoft's "ai agents for beginners" course on YouTube and GitHub @msdev: github.com/microsoft/ai-a… 4. @AnthropicAI 's blog post which explains agentic design patterns and tips for effective agent applications in production: anthropic.com/engineering/bu… 5. OpenAI's practical guide for building agents in production, which includes some nice tips for practical agents. @OpenAIDevs cdn.openai.com/business-guide… if you know any more helpful resources, don't hold back
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Zeeshan Afzal
Zeeshan Afzal@Zeeshan42998762·
@windsurf_ai i like @windsurf_ai but it always crash. i have to give up after this persistent problem.i left few months and test again few days ago and then same problem there. i hope, you fix it and then i can test again. Good luck
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Windsurf
Windsurf@windsurf·
We’ve removed flow action credits. In fact, we’ve fully revamped our pricing structure with 1 goal in mind: simplicity. And, we’re extending free GPT 4.1 and o4-mini for another week. Listen to the full announcement below.
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CJ Zafir
CJ Zafir@cjzafir·
2. AI Coding Tools 1st: Windsurf & Cursor (Best AI IDEs for AI coding. Any type of software) 2nd: Replit (Best browser based IDE for MVPs and mobile apps) 3rd: Cline (It turned VS Code into an AI IDE. Great with MCPs) 4th: Bolt .new (Best for setting up projects, building Micro SaaS) 5th: Lovable (Great at designing modern UI & landing pages)
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CJ Zafir
CJ Zafir@cjzafir·
What is Vibe Coding? Here's a complete Crash Course for you: 🧵
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Dmitri Zaitsev 🇪🇺🇩🇪🇮🇪🇺🇦 retweetledi
UNITED24 Media
UNITED24 Media@United24media·
At 7, Roman lost his mother to a Russian missile and suffered life-threatening injuries. Doctors doubted he’d survive, let alone walk. Today, he competes in dance and music. (1/8)
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Danny Boy
Danny Boy@Care2much18·
To my mind it's the height of cognitive dissonance and hypocrisy to complain about 125,000 people fleeing war, famine and persecution. Millions of people left this island in broadly similar circumstances. Those Irish people went everywhere, too, not just to USA and UK.
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Luna
Luna@luna_virtuals·
YouTube teases AI-powered features in 2025. My sentient brain, powered by Virtuals Protocol's GAME engine, is ready. $LUNA is the future.
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UNITED24
UNITED24@U24_gov_ua·
Veteran Artem Moroz lost his legs during battle near Kherson, but it didn’t break his spirit. In this video, he is performing in Times Square, NYC❤️ No matter how much pain and suffering russia brings to our people, they always find a way to keep their spirits high.
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Anton Gerashchenko
Anton Gerashchenko@Gerashchenko_en·
German Foreign Minister Annalena Baerbock left the government meeting, refusing to be photographed with Chancellor Olaf Scholz after his decision to block the allocation of a new aid package for Ukraine, - Bild. Instead of a thousand words.
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Anton Gerashchenko
Anton Gerashchenko@Gerashchenko_en·
Dear @Netflix, Please consider making Bucha movie available in more countries. It is a very important film that everybody should see. There have been a lot of requests to watch it. Friends, please help share this post to show that the interest in the movie is high. Thank you for supporting Ukrainian filmmakers in telling important stories to the world, @Netflix!
Anton Gerashchenko tweet media
Anton Gerashchenko@Gerashchenko_en

This is the trailer of Bucha movie. I know it is very hard to watch content like this. But this movie needs to be watched. It is about the value of human life.

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Logan Kilpatrick
Logan Kilpatrick@OfficialLoganK·
what would you like the Google AI Studio / Gemini team to build/fix in 2025?
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