Uday Mungalpara
@udaymungalpara
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Hobbyist developer && Tinkering enthusiast
Bengaluru
Joined May 2015
let's build
If you think you understand it, try building it.
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TOON (Token-Oriented Object Notation) is out for some days now and it aims to make communication with LLMs more accurate and token-efficient. The TOON topic is now one of the hottest news on the LLM market and it might actually matter. 𝗪𝗵𝘆 𝗜 𝘁𝗵𝗶𝗻𝗸 𝘀𝗼: I was
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Before releasing a new model, @claudeai needs to focus on fixing the uptime issues. Reliability first, then innovation. Can't have a model that goes down anytime!
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Microsoft has access to ALL of the hardware accelerator IP from OpenAI, which is why Satya is not worried about their in-house Maia accelerators not progressing as fast as Google TPUs
Satya Nadella on Microsoft's AI Future (Dwarkesh Podcast): - build a first class superintelligence team to advance research - develop an omni-model (text, image, audio) - exploit the advantage of having access to OpenAI IP - continue releasing some open-source models
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Elon Musk’s Advice to Young People: Take Risks Before Life Gets Heavy.
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🚀 Hello, Kimi K2 Thinking! The Open-Source Thinking Agent Model is here. 🔹 SOTA on HLE (44.9%) and BrowseComp (60.2%) 🔹 Executes up to 200 – 300 sequential tool calls without human interference 🔹 Excels in reasoning, agentic search, and coding 🔹 256K context window Built
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World's strongest agentic model is now open source Kimi K2
🇨🇳 Alibaba-backed Moonshot releases its second AI update in four months as China’s AI race heats up. Head to head with GPT-5, Sonnet 4.5, Gemini 2.5 Pro, and Grok 4, while being 6x cheaper. On some benchmarks, the model now outperforms OpenAI’s GPT-5, Anthropic’s Claude Sonnet
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📊 Sam Altman can really move the market. Bloomberg published an article that OpenAI’s funding question flipped market mood, as talk of a government backstop and a firm no federal bailout made investors reassess an AI rally that has leaned heavily on OpenAI’s $1.4 trillion
I would like to clarify a few things. First, the obvious one: we do not have or want government guarantees for OpenAI datacenters. We believe that governments should not pick winners or losers, and that taxpayers should not bail out companies that make bad business decisions or
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really impressive Thinking model
🚀 Hello, Kimi K2 Thinking! The Open-Source Thinking Agent Model is here. 🔹 SOTA on HLE (44.9%) and BrowseComp (60.2%) 🔹 Executes up to 200 – 300 sequential tool calls without human interference 🔹 Excels in reasoning, agentic search, and coding 🔹 256K context window Built
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One thing is clear: in tech, you can't beat or compete with Google(Alphabet).
Our TPUs are headed to space! Inspired by our history of moonshots, from quantum computing to autonomous driving, Project Suncatcher is exploring how we could one day build scalable ML compute systems in space, harnessing more of the sun’s power (which emits more power than 100
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Our TPUs are headed to space! Inspired by our history of moonshots, from quantum computing to autonomous driving, Project Suncatcher is exploring how we could one day build scalable ML compute systems in space, harnessing more of the sun’s power (which emits more power than 100
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🚨 Bytedance Video Upscaler is here on fal! 🎬 Upscale videos to stunning 1080p, 2K, and 4K resolution ⚡ Supports 30/60 fps ✨ Professional-grade quality enhancement 💰 Just $0.0072/s for 1080p upscaling
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$ 70 billion revenue just 4 year old tech company.
The Information reports that Anthropic expects to generate as much as $70 billion in revenue and $17 billion in cash flow in 2028. The growth projections are fueled by rapid adoption of Anthropic’s business products, a person with knowledge of the compa...
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Google is the only company that owns every layer of the AI stack. From TPUs to Gemini to Search. Everyone else rents compute. Google owns the factory.
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In a world where everyone is chasing momentum, I'm reminded of a Buffett gem: “You can’t produce a baby in one month by getting nine women pregnant.” Some things just take time: compounding, craftsmanship, and good judgment.
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Dylan Patel (@dylan522p) explains why Apple dislikes NVIDIA, and how that’s shaping Apple’s position in the AI race. “It goes back to Bumpgate, a connection issue between the chip and the board that led Apple to demand compensation from NVIDIA. NVIDIA refused.” “Then NVIDIA
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