Shivay Lamba @ Google I/O

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Shivay Lamba @ Google I/O

Shivay Lamba @ Google I/O

@HowDevelop

AI Architect & Builder GSoC Org Admin - Jenkins | Docker Captain | CNCF Ambassador

New Delhi Katılım Aralık 2018
1.2K Takip Edilen8.1K Takipçiler
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Shivay Lamba @ Google I/O
Shivay Lamba @ Google I/O@HowDevelop·
What an amazing day! Presented a poster at @PyTorch Conference: how we optimised the RLM paper with pre-fix caching & batched Sub calls with @vllm_project And a full house for our Pytorch Conference talk on running LLMs using Executorch on Android!
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OpenAI Developers
OpenAI Developers@OpenAIDevs·
Codex anywhere and everywhere, all the time. Now your Mac doesn’t have to be unlocked for Codex to use your computer. From your phone, Codex can securely use apps on your Mac, even when the screen is off and locked. #locked-use" target="_blank" rel="nofollow noopener">developers.openai.com/codex/app/comp…
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itay shmool 🇮🇱☮️✨️
I built "zero2claude", a free course that takes people from zero terminal experience to shipping with Claude Code. The curriculum goes from absolute zero → software basics → Claude Code fundamentals → advanced usage. No shortcuts, no assumptions. 17,000+ students. 7 languages. ~500 active hourly. No marketing. No ads. Pure word of mouth. The entire platform? Built and operated by one person with Claude Code. Lighthouse audit: ✅ Performance : 96 ✅ Accessibility : 100 ✅ Best Practices : 100 ✅ SEO : 100 Production stats: ~6.4M requests/day. 74 req/sec sustained. <0.003% error rate. Claude Code doesn't just write code. It builds production-grade, scalable products. The best way to grow Claude Code adoption isn't to simplify the tool. It's to level up the people. Give fishing rods, not fish. Free. No paywall. My contribution to the community. Link in the comments 👇
itay shmool 🇮🇱☮️✨️ tweet mediaitay shmool 🇮🇱☮️✨️ tweet mediaitay shmool 🇮🇱☮️✨️ tweet media
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Rishika Gupta
Rishika Gupta@rishikagupta__·
My first international speaker session is accepted🙈
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Vaibhav (VB) Srivastav
Couple days back @swyx posted a challenge: code a ~10M transformer in JAX/Flax/Optax, run it in free Colab, and train it on addition w/ your agent! I gave Codex the screenshot + /goal. It controlled Colab through Chrome, used my signed-in session, handled runtime/editing weirdness, ran the T4 job, then used subagents to audit the result. End state: 10,652,557 params, ~19 min train, 99/100 exact random checks 🤯 Still needs cleaner evals, but autonomously babysiting the training run over chrome is pretty wild!
Vaibhav (VB) Srivastav@reach_vb

x.com/i/article/2057…

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Pratim🥑
Pratim🥑@BhosalePratim·
If you’re eyeing to work at your favourite AI company ( say for example Gradium ) in a more public facing role like Developer Relations, the fast way to catch the interest of the team is to build something really cool with the models and just tag the company/founder/hiring team. Find the person from the team who’s most active on social media and tag them under a video or blog post that shows what you built.
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Arduino
Arduino@arduino·
Want to present your project at @MakerFaireRome 2026? The Call for Makers is open! If you’ve built something with Arduino — from IoT devices to robots — this is your chance to showcase your work alongside other innovators from around the world. Apply: makerfairerome.eu/en/call/call-f…
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Hedgie
Hedgie@HedgieMarkets·
🦔Microsoft canceled its internal Claude Code licenses this week after token-based billing made the cost untenable, even for a company with effectively infinite cloud resources. Uber's CTO sent an internal memo warning the company burned through its entire 2026 AI budget in just four months. American AI software prices have jumped 20% to 37%, and GitHub (owned by Microsoft) is dropping flat-rate plans for usage-based billing across its products. My Take The AI subsidy era is ending in real time. The same company that put $13 billion into OpenAI and built the Azure infrastructure powering most of Anthropic's compute just looked at the bill from a competitor's coding tool and decided it was not worth paying. That is not a productivity failure on Anthropic's end. Token-based pricing is forcing every enterprise customer to confront the actual cost of running these models at scale, and the number turns out to be far higher than the flat-rate experiments suggested. This ties directly to my Gemini Flash post yesterday. Anthropic, OpenAI, and Google all raised effective prices in the last six months. Enterprises that built workflows assuming AI costs would keep falling are now watching annual budgets evaporate in months. Two outcomes look likely from here. Either enterprises scale back AI usage to fit budgets, which slows the revenue ramp the labs need to justify their valuations ahead of IPOs, or the labs cut prices and absorb the losses, which makes the unit economics worse at exactly the wrong moment. Both paths land in the same place, the numbers stop working, and somebody has to take the writedown. Hedgie🤗
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Vipul Gupta
Vipul Gupta@vipulgupta2048·
Burning calories >>> tokens
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Arindam Majumder 𝕏
Arindam Majumder 𝕏@Arindam_1729·
Launching something in the observability space in a couple weeks. Looking for early beta testers. If you're interested in trying it out early, drop a comment or DM. Happy to share access.
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