IlijasDev (@ilijasdev) header
IlijasDev (@ilijasdev) profile picture

Coder | Builder | Thinker

Joined April 2015
Photo by IlijasDev (@ilijasdev)Photo by IlijasDev (@ilijasdev)Photo by IlijasDev (@ilijasdev)Photo by IlijasDev (@ilijasdev)Photo by IlijasDev (@ilijasdev)Photo by IlijasDev (@ilijasdev)Photo by IlijasDev (@ilijasdev)Photo by IlijasDev (@ilijasdev)Photo by IlijasDev (@ilijasdev)Photo by IlijasDev (@ilijasdev)
Follow this account now!!! @confluo_dex
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IlijasDev retweeted
me and @claudeai
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We just released Claude Code channels, which allows you to control your Claude Code session through select MCPs, starting with Telegram and Discord. Use this to message Claude Code directly from your phone.
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This is wild. 143 million people thought they were catching Pokémon. They were actually building one of the largest real-world visual datasets in AI history. Niantic just disclosed that photos and AR scans collected through Pokémon Go have produced a dataset of over 30 billion real-world images. The company is now using that data to power visual navigation AI for delivery robots. Players didn't just walk around with their phones. They scanned landmarks, storefronts, parks, and sidewalks from every angle, at every time of day, in lighting and weather conditions that staged photography would never capture. They documented the physical world at a scale no mapping company with a fleet of vehicles could have replicated on the same timeline or budget. Niantic collected this systematically, data point by data point, across eight years, while users thought the only thing at stake was catching a rare Charizard. The most valuable AI training datasets in the world aren't being assembled in data centers. They're being built by people who have no idea they're building them.
POKÉMON GO PLAYERS TRAINED 30 BILLION IMAGE AI MAP Niantic says photos and scans collected through Pokémon Go and its AR apps have produced a massive dataset of more than 30 billion real-world images. The company is now using that data to power visual navigation for delivery robots, letting them identify exact locations on city streets without relying on GPS. Source: NewsForce
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Replying to @naval
We are moving from the Syntax Era to the Specification Era. The bottleneck is no longer knowing how to write the code or configure the workflow. The bottleneck is articulating exactly what you want the system to do. Clear thinking is the new coding language.
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Creator of @nodejs says humans writing code is over
This has been said a thousand times before, but allow me to add my own voice: the era of humans writing code is over. Disturbing for those of us who identify as SWEs, but no less true. That's not to say SWEs don't have work to do, but writing syntax directly is not it.
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Chinese scientists have developed, The best shortest-path algorithm in 41 years! A team from Tsinghua University has broken Dijkstra's "sorting barrier" - the first improvement since 1984. Just use for a world-map 🤯 Paper - arxiv.org/pdf/2504.17033
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IlijasDev retweeted
✅ Fixed
Let’s get to the point. In the EU, you have more control over what you see online. ℹ️link.europa.eu/qCfg8p
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One of my favorite lessons I’ve learnt from working with smart people: Action produces information. If you’re unsure of what to do, just do anything, even if it’s the wrong thing. This will give you information about what you should actually be doing. Sounds simple on the surface - the hard part is making it part of your every day working process.
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Just a month later and... 🇪🇺 ChatControl is back! Now they're trying to pass an even more far reaching ChatControl law through the back door, in a form even more intrusive than the originally rejected plan, without needing any of the EU countries votes The new proposal: - total mandatory surveillance of ALL text chats, emails and social media in the EU - obligatory registration of your ID/passport to your chat, email or social media account - minimum age requirement for chat, email and social media apps of 16 (!) The only way to stop this law is if EU countries veto it Read more here by @echo_pbreyer: patrick-breyer.de/en/chat-co…
Freedom won today! 🚫 No ChatControl in EU Now keep this snooping on people's private messages off the 🇪🇺 EU's agenda forever please
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Haven’t dug into the docs yet? No worries. Take a look at the dashboard instead – have a play, see what might be staring you in the face. Thank me later. ⚡🐸 🧮 moonmath.meme-market-madness…
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been testing out this new thing called $MCPM lately and honestly it’s a pretty unique setup. its not another betting platform - it’s more like a prediction market built on Base, powered by DIA oracles and fully audited. you can basically express conviction on short-term market moves (1h, 24h, 7d) inside onchain “arenas,” all transparent and decentralized. clean, data-driven product that lets people participate in market sentiment the right way. geo-blocked for US and UK btw, so keep that in mind. not financial advice, just sharing a project that’s building something solid in the prediction space. 🔗 testnet: meme-market-madness.com 📖 docs: mcpm-base-eth.gitbook.io/mcp…
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who here remembers this?
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They're bad because it's hard. Claude is not gonna oneshot Half Life 4 or Rome Total W 3 for you. You still need brains for that. We're putting too much hope on what the LLM can do instead of systematically harnessing and forcing it by human hand into propper automation workflows
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If I have seen further, it is by standing on the shoulders of giants
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Yoooo the latest batch of startups is now live on Tiny Startups and featuring some KICK-ASS founders & projects 🥳 Let's make this launch week epic! @ilijasdev @nedoleary @knightbenax @petereinpublic @lootlock_com @alvivanco @inspiratory @GetReditus Check it out 👇
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3️⃣ Understanding LLMs These three videos by @3Blue1Brown are arguably the best visual explainers of LLMs and their internal workings. 1. How LLMs work 2. Transformers Deep-dive 3. Attention in transformers 4. How LLMs store facts 🔗 youtube.com/watch?v=aircAruv…
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Holy sh*t… nobody’s talking about JSON prompting but it’s the cheat code to unlock God-tier outputs from GPT-4, Claude, and Gemini. Here’s how it works (with copy-paste templates): 👇
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Reddit user u/Alternative_Lab_4441 trained a FLUX Kontext LoRA to turn low-res Google Earth screenshots into high-res drone photos. This LoRA turns basic satellite images into professional-quality aerial shots And yes, it’s free to download!
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The God Father of Al wins the nobel prize and issues a spooky warning
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