We're hosting the Agents & APIs Developer Meetup in Madrid this Wednesday! We’ve partnered with @Adyen for an evening of practical talks on what it takes to build, productionize, and prepare APIs for the next wave of AI-powered applications. Join us to hear from builders working hands-on and building Agents in production. 📍 Adyen's Office, Madrid 🗓️ Wednesday, June 17, 2026 ⏰ 6–8pm CEST Save your spot: luma.com/rytyc1jj?utm_source…

why? he only talks about lithography. did you not read what I just said about all that goes into this? Hsu is saying China just got an EUV _prototype_ working. we had EUV prototypes decades ago. China still has to productionize it AND design the chips AND produce them at scale. “working chips by 2030” doesn’t mean “frontier AI chips ready for production,” it means “proof of concept.” and that’s if you believe any of this. Hsu himself says to “take it with a grain of salt.” you’re saying they’re ready to win a marathon bc they learned how to tie their shoes. besides, they’re still very far behind in AI research itself. they’re cut off from distilling our frontier, so now they need to figure out how to train models too!

it only works “locally” like you need to use your subscription and run Claude code in your project, so I call this more my personal dev env than an actual agent manager. I may productionize it.

Been building apps with my own design framework that combines Liquid Glass and Neobrutalism and decided to productionize it as a website/repo so I can tell my agents to reference it as the design language for new apps. I call it Structured Liquidity. structured.glass/

🧠 Hiring: Quant Researcher - Crypto Trading Firm 📍 Remote (Global) | 💼 Senior | 🧑‍💻 Quant Research Trading | 💰 DOE 1M (Base Bonuses) | 🕐 4 hours ago - June 12, 2026 The company is a high-performing proprietary trading firm specialising in digital assets. They deploy quantitative and algorithmic strategies supported by rigorous data-driven research and disciplined risk management. 📋 Responsibilities include: - Design, test, and deploy quantitative trading models using statistical, econometric, and machine-learning techniques. - Own the full research lifecycle from idea generation to live PnL attribution. - Analyze diverse datasets including market microstructure, derivatives, on-chain data, and macro signals to identify durable alpha. - Run rigorous backtesting, stress testing, and post-trade analysis. - Partner closely with researchers and engineers to productionize models. - Continuously refine strategies based on empirical results and market regimes. 🔑 Requirements: - 2 years of experience in quantitative research or systematic trading at a hedge fund, prop trading firm, or similar. - Clear evidence of PnL impact through strategies or contributions. - Strong Python skills handling large/noisy/high-frequency datasets. - Solid understanding of statistical modeling, forecasting, and ML in trading. - Hands-on crypto/blockchain experience. - High ownership mindset. 💡 Perks: - Direct research-to-capital impact. - Exposure to crypto market inefficiencies. - High autonomy and strong upside. 📩 To apply: Review and apply here: blockchainheadhunter.com/job… or reach out to Michael Shlayen directly on LinkedIn: linkedin.com/in/mshlayen. Brief cover letter welcome. 🔗 Original post: linkedin.com/posts/blockchai… ⚠️ DYOR! I don’t verify every job. If someone asks to run files (even from GitHub) or ask for payment 🚩 likely a scam. ❗️ I'm not hiring myself! I just sharing fresh web3/crypto/blockchain roles DAILY for all levels! 💡 For Interns & juniors → t.me/crypto_vazima_english 💼 Mid/senior jobs → t.me/web3_jobs_crypto_vazima #QuantResearcher #CryptoJobs #Web3 #Blockchain #Hiring #RemoteJobs #Trading #Quant #DeFi #CryptoTrading

This ignores cost to run though? Sure, maybe the code you have generated is slop in the backend but if you don’t know what to use to productionize and scale and you just use the easy tools you’re going to end up with a surprise bill

Two years to develop and productionize space datacenters? Why not just say it will never happen if it doesn't make any sense.

Dive into the evolving landscape of AI in our Generative AI group, where we learn from each other about prompt enhancement techniques, explore open-source LLM evaluation platforms, discuss data engineering strategies, and more! 🧮 Join our @twimlai Generative AI Meetup, advised by @samcharrington, where we connect, share, and discuss topics on Deploying Multi-Agent Systems Using MCP and A2A, Pre-Training & Post-Training recipes, Computer Vision & Multimodal models, breakthrough research, and their extensive engineering, along with adaptable control! 🎯 Engage in open discussion, unpack cutting-edge trends and developments in the Generative AI space, delve into ML techniques & algorithms, collaborate on building the RAG & Agentic projects, transcription pipelines, and integration of different AI coding tools & agents (@OpenAI 5.5/GPT-Image-2, @AnthropicAI's Claude Code & Mythos 5/Fable 5/Opus 4.8, @cursor_ai/@windsurf, @Google's Gemini 3.5 Flash/3.1 Pro/Gemini CLI/@antigravity IDE, @SarvamAI, etc.), along with deep dives into code! 🛠️ Moreover, build and explore agentic behavior with effective prompt engineering; dig into Mixture of Experts (MoE) models; exchange memory-tuning techniques; and productionize models for low latency and high throughput, among others, moderated by @aitaxonomist and @cataluna84 of OM Enterprises — AI Research & Engineering Labs 👥 We will also be discussing the next phase of #IndiaAIImpactSummit2026, powered by the @GoI_MeitY under the @OfficialINDIAai Mission, bringing together an extraordinary coalition of global technology pioneers, policymakers, researchers and industry leaders to shape the next chapter of AI 🚀 We will discuss the implications of @Apple's WWDC AI & API release for the consumers and industry along with how to integrate it in your dev workflows this week 🧠 #MicrosoftBuild #WWDC #TPUs #AgenticAI #MCP #ComputerVision #Multilingual #Tokenizers #Embedding #NationalSecurity #CyberSecurity #ProblemSolving #SSMs #HybridModels

Looks cool! Any plans to productionize?

Open-source starters for production AI workflows are honestly becoming insanely valuable 😭 A lot of people can generate images now. Very few know how to productionize the pipeline cleanly. What was the hardest part while building Ember?

Claude fable is only available till June 22. I built a skill, /productionize, to finish/audit your stuck projects/products. It will study your codebase: > Find missing pieces > Review codebase architecture > Review perf, security, possible vulnerabilities > Figure out bugs 👇👇

💰 Hiring: Systematic Trader / Alpha Researcher - Prop Trading Boutique 📍 Remote (Global) | 💼 Senior | 🧑‍💻 Quant Trading | 💰 1M | 🕐 1 day ago - June 10, 2026 The company is a well-capitalized proprietary trading firm managing nine figures in assets, focused on frontier and inefficient markets. They seek an exceptional Quantitative Researcher for their systematic trading team to develop and deploy live strategies. 📋 Responsibilities include: - Research, develop, and deploy systematic trading strategies - Generate alpha through statistical, quantitative, and ML techniques - Analyze large datasets for persistent trading signals - Improve execution, portfolio construction, and risk management - Conduct rigorous backtesting and post-trade analysis - Collaborate to productionize research and explore new opportunities 🔑 Requirements: - 2-5 years in quantitative research or systematic trading - Preferred: Top prop trading firm, quant hedge fund experience - Strong stats, probability, ML, optimization background - Python programming skills - Proven ownership of research and trading outcomes 💡 Perks: - Competitive base - $1M-$2M signing bonus for top candidates - Multi-seven-figure performance bonus potential 📩 To apply: Apply here blockchainheadhunter.com/job… or DM Michael Shlayen on LinkedIn: linkedin.com/in/mshlayen. Brief cover letter highlighting experience is welcome. 🔗 Original post: linkedin.com/posts/blockchai… ⚠️ DYOR! I don’t verify every job. If someone asks to run files (even from GitHub) or ask for payment 🚩 likely a scam. ❗️ I'm not hiring myself! I just sharing fresh web3/crypto/blockchain roles DAILY for all levels! 💡 For Interns & juniors → t.me/crypto_vazima_english 💼 Mid/senior jobs → t.me/web3_jobs_crypto_vazima #SystematicTrader #AlphaResearcher #QuantTrading #PropTrading #CryptoJobs #Web3 #Blockchain #Hiring #RemoteJobs #QuantitativeResearch #Trading #Finance #ML #Python

Our data infrastructure is quietly becoming one of the biggest advantages in building reliable AI agents for clinical development. We spent the last decade unifying fragmented data, metadata, lineage, and governance. Those foundational layers are already solved, which makes embedding agents within the platform much faster and safer. We’re seeing this clearly as we embed multiple agents within elluminate alongside existing data products and workflows. The moat isn’t the agent. It’s the trusted execution layer underneath. What’s the hardest part you’re hitting when trying to productionize agents in regulated clinical trials environments? @eClinical_Sol #ClinicalData #AIinHealthcare #ClinicalTrials

Dive into the evolving landscape of AI in our Generative AI group, where we learn from each other about prompt enhancement techniques, explore open-source LLM evaluation platforms, discuss data engineering strategies, and more! 🧮 Join our @twimlai Generative AI Meetup, advised by @samcharrington, where we connect, share, and discuss topics on Deploying Multi-Agent Systems Using MCP and A2A, Pre-Training & Post-Training recipes, Computer Vision & Multimodal models, breakthrough research, and their extensive engineering, along with adaptable control! 🎯 Engage in open discussion, unpack cutting-edge trends and developments in the Generative AI space, delve into ML techniques & algorithms, collaborate on building the RAG & Agentic projects, transcription pipelines, and integration of different AI coding tools & agents (@OpenAI 5.5/GPT-Image-2, @AnthropicAI's Claude Code & Mythos/Opus 4.8, @cursor_ai/@windsurf, @Google's Gemini 3.5 Flash/3.1 Pro/Gemini CLI/@antigravity IDE, @SarvamAI, etc.), along with deep dives into code! 🛠️ Moreover, build and explore agentic behavior with effective prompt engineering; dig into Mixture of Experts (MoE) models; exchange memory-tuning techniques; and productionize models for low latency and high throughput, among others, moderated by @aitaxonomist and @cataluna84 of OM Enterprises — AI Research & Engineering Labs 👥 We will also be discussing the next phase of #IndiaAIImpactSummit2026, powered by the @GoI_MeitY under the @OfficialINDIAai Mission, bringing together an extraordinary coalition of global technology pioneers, policymakers, researchers and industry leaders to shape the next chapter of AI 🚀 #TPUs #AgenticAI #MCP #ComputerVision #Multilingual #Tokenizers #Embedding #NationalSecurity #CyberSecurity #ProblemSolving #SSMs #HybridModels

People don't understand you have to do all these prototype things before you have the pieces to productionize and polish. No way around it.

State of Vibe Coding 2026: the adoption war is over. The quality war has begun. Interesting data from Hashnode’s latest report: - 92% of US developers use AI coding tools daily - 46% of new code is AI-generated - Trust in AI-generated code dropped from 77% → 60% - Around 45% of AI-generated code samples contain OWASP Top 10 vulnerabilities The market already made its decision. Nobody is debating whether developers will use AI anymore. They already do. The new battle is about governance, security, architecture, testing, and maintainability. That’s becoming a strong Open Mercato sales argument: “Vibe coding won the adoption war. Now every CTO is paying for the lack of governance.” The winners won’t be the teams generating code fastest. They’ll be the teams that can safely productionize it.

Note that the above is distinct from the hardware engineering role in our foundry, who will productionize prototyped optical instruments for broader internal and external use: jobs.lever.co/arcadiascience…

Earlier this year some engineers I know were getting regular requests from execs to "productionize" their Claude creations and many of them decided to take a career break.

Dive into the evolving landscape of AI in our Generative AI group, where we learn from each other about prompt enhancement techniques, explore open-source LLM evaluation platforms, discuss data engineering strategies, and more! 🧮 Join our @twimlai Generative AI Meetup, advised by @samcharrington, where we connect, share, and discuss topics on Deploying Multi-Agent Systems Using MCP and A2A, Pre-Training & Post-Training recipes, Computer Vision & Multimodal models, breakthrough research, and their extensive engineering, along with adaptable control! 🎯 Engage in open discussion, unpack cutting-edge trends and developments in the Generative AI space, delve into ML techniques & algorithms, collaborate on building the RAG & Agentic projects, transcription pipelines, and integration of different AI coding tools & agents (@OpenAI 5.5/GPT-Image-2, @AnthropicAI's Claude Code & Mythos/Opus 4.8, @cursor_ai/@windsurf, @Google's Gemini 3.5 Flash/3.1 Pro/Gemini CLI/@antigravity IDE, @SarvamAI, etc.), along with deep dives into code! 🛠️ Moreover, build and explore agentic behavior with effective prompt engineering; dig into Mixture of Experts (MoE) models; exchange memory-tuning techniques; and productionize models for low latency and high throughput, among others, moderated by @aitaxonomist and @cataluna84 of OM Enterprises — AI Research & Engineering Labs 👥 We will also be discussing the next phase of #IndiaAIImpactSummit2026, powered by the @GoI_MeitY under the @OfficialINDIAai Mission, bringing together an extraordinary coalition of global technology pioneers, policymakers, researchers and industry leaders to shape the next chapter of AI 🚀 #TPUs #AgenticAI #MCP #ComputerVision #Multilingual #Tokenizers #Embedding #NationalSecurity #CyberSecurity #ProblemSolving #SSMs #HybridModels