Dear Polkadot community, here is something I wanna share with you about @ChaoticApp. All in this article: medium.com/@Luuuuu/c285c2d72…

I'm learning about ZebraCorns! ZebraCorns is a fun, hybrid term that typically refers to: 1/ A Blend of “Zebra” and “Unicorn” Startups Unicorns are privately held startups valued at over $1 billion. 2/ Zebras are companies that are both profitable and purposeful, prioritizing sustainability and impact over rapid, venture-backed growth. 3/ ZebraCorns combine the best of both: mission-driven, socially conscious businesses that also achieve high valuations. On @AjeetK Spaces today on Women in Tech ... @yipclouds

Dear ladies, we are happy to announce that we are planning our next meetup during the @Web3summit in Berlin. We have prepared a cool program, and we are expecting you! ♥️ Get your ticket below: lu.ma/os3131ih

Thanks to @Bhodlr1 @blinkbtc @TrezorAcademy @yipclouds @djvalerieblove @TheBitcoin__ @BitcoinBoma @geyserfund this event is happening. We are very thankful. Keeping supporting us👇👇 geyser.fund/project/womenofs… This June we've got more events coming 🎉🎉

Wondering what the vibes were like at our last meetup? Ask @joinwebzero how they made it real, and @CryptoGirlsClub if they had fun. 😉 😏

We are preparing something cool for you in Toronto! 🇨🇦 Hint: 🩷🚌

Met many amazing builders at ChangeNOW, focused on sustainable & impactful solutions. Also great connecting with the Yip Thy-Diep Ta from @Polkadot community! Invited by @Microsoft

We’re back! With fresh plans, more amazing women on board, and clear ideas. Our mission to connect and onboard more women to @Polkadot continues 🚀 medium.com/women-of-polkadot…

To all incredible women, not only in @Polkadot. Build, grow, innovate, and continue to inspire us. 🪷

Looks like this is the last sticker of Women of Polkadot that we have 👀 Print more or go for a new design?

6 days 🔜 3rd March | Stellar Builder Residency by @_HerDAO kicks off ! In collaboration with @StellarEastAfri, we’re igniting a month-long journey to onboard and upskill builders on the Stellar ecosystem. Let’s blub—er, build—together! Get in now :-⤵️ lu.ma/wj4lixaa

The buzz over DeepSeek this week crystallized, for many people, a few important trends that have been happening in plain sight: (i) China is catching up to the U.S. in generative AI, with implications for the AI supply chain. (ii) Open weight models are commoditizing the foundation-model layer, which creates opportunities for application builders. (iii) Scaling up isn’t the only path to AI progress. Despite the massive focus on and hype around processing power, algorithmic innovations are rapidly pushing down training costs. About a week ago, DeepSeek, a company based in China, released DeepSeek-R1, a remarkable model whose performance on benchmarks is comparable to OpenAI’s o1. Further, it was released as an open weight model with a permissive MIT license. At Davos last week, I got a lot of questions about it from non-technical business leaders. And on Monday, the stock market saw a “DeepSeek selloff”: The share prices of Nvidia and a number of other U.S. tech companies plunged. (As of the time of writing, some have recovered somewhat.) Here’s what I think DeepSeek has caused many people to realize: China is catching up to the U.S. in generative AI. When ChatGPT was launched in November 2022, the U.S. was significantly ahead of China in generative AI. Impressions change slowly, and so even recently I heard friends in both the U.S. and China say they thought China was behind. But in reality, this gap has rapidly eroded over the past two years. With models from China such as Qwen (which my teams have used for months), Kimi, InternVL, and DeepSeek, China had clearly been closing the gap, and in areas such as video generation there were already moments where China seemed to be in the lead. I’m thrilled that DeepSeek-R1 was released as an open weight model, with a technical report that shares many details. In contrast, a number of U.S. companies have pushed for regulation to stifle open source by hyping up hypothetical AI dangers such as human extinction. It is now clear that open source/open weight models are a key part of the AI supply chain: Many companies will use them. If the U.S. continues to stymie open source, China will come to dominate this part of the supply chain and many businesses will end up using models that reflect China’s values much more than America’s. Open weight models are commoditizing the foundation-model layer. As I wrote previously, LLM token prices have been falling rapidly, and open weights have contributed to this trend and given developers more choice. OpenAI’s o1 costs $60 per million output tokens; DeepSeek R1 costs $2.19. This nearly 30x difference brought the trend of falling prices to the attention of many people. The business of training foundation models and selling API access is tough. Many companies in this area are still looking for a path to recouping the massive cost of model training. Sequoia’s article “AI’s $600B Question” lays out the challenge well (but, to be clear, I think the foundation model companies are doing great work, and I hope they succeed). In contrast, building applications on top of foundation models presents many great business opportunities. Now that others have spent billions training such models, you can access these models for mere dollars to build customer service chatbots, email summarizers, AI doctors, legal document assistants, and much more. Scaling up isn’t the only path to AI progress. There’s been a lot of hype around scaling up models as a way to drive progress. To be fair, I was an early proponent of scaling up models. A number of companies raised billions of dollars by generating buzz around the narrative that, with more capital, they could (i) scale up and (ii) predictably drive improvements. Consequently, there has been a huge focus on scaling up, as opposed to a more nuanced view that gives due attention to the many different ways we can make progress. Driven in part by the U.S. AI chip embargo, the DeepSeek team had to innovate on many optimizations to run on less-capable H800 GPUs rather than H100s, leading ultimately to a model trained (omitting research costs) for under $6M of compute. It remains to be seen if this will actually reduce demand for compute. Sometimes making each unit of a good cheaper can result in more dollars in total going to buy that good. I think the demand for intelligence and compute has practically no ceiling over the long term, so I remain bullish that humanity will use more intelligence even as it gets cheaper. I saw many different interpretations of DeepSeek’s progress here in X, as if it was a Rorschach test that allowed many people to project their own meaning onto it. I think DeepSeek-R1 has geopolitical implications that are yet to be worked out. And it’s also great for AI application builders. My team has already been brainstorming ideas that are newly possible only because we have easy access to an open advanced reasoning model. This continues to be a great time to build! [Original text: deeplearning.ai/the-batch/is… ]

Buckle up Solana fam — Breakpoint is heading to Abu Dhabi exactly ONE year from today! 🇦🇪 For the next 72 hours, snag your tickets for $250 before they jump to $500. Not a typo. Yes, this is your sign to grab em now. Quick download for anyone speed scrolling: We're taking over Etihad Arena in the bustling hub of Abu Dhabi from 11-13 Dec. 2025. Expect two main stages like last year (product on one, deep tech on the other), a massive builder zone, and do bizdev F1 style again. And yes — there's special rates for devs ($250), creators ($250), and students ($100) after the flash sale ends, but you'll need to apply. Fair warning: spots are limited and these always go fast. Ready to send it? Snag your tickets below before 13 Dec. and we’ll see you in Abu Dhabi 🫡

🎉 Celebrating 3 years of H.E.R. DAO! We started H.E.R. DAO on December 1st, 2021, to build a world where women and other under represented people could gain the support they needed to start their journeys into the exciting arena of emerging tech and web3

Couldn’t be happier . Really good vibes at #Devcon2024 #DevCon . Builders build .

Nice hacker space vibes

Happening today 💕 I hope I will make it! Still on my way 😭😭😭 Celebrate @_SDAV for me 💕💕💕🎉

🚨 De-Gov Studio Episode #6 is LIVE! 🚨 Is decentralization enough, or do we need polycentric governance? 🌐 Join @yaoeo Dr. Primavera De Filippi, @mbauwens, @Spaceweaver, & @emetlalune as they unpack governance models for blockchain ecosystems. 🎧 Watch now: youtu.be/fqDyGfjJZJI #DeGov #Governance #Blockchain #Web3 #Polycentric

I just got my @EFdevcon ticket! See you in Bangkok, November 12-15 Get your ticket, too: devcon.org/sea/ticket/Yip/

Repository of 500 web3 reports I've organized 500 public reports on Web3 and into these folders: 1. Blockchain 2. DeFi 3. Crypto 4. Metaverse 5. NFT 6. Whitepapers & Academia To get access: - Follow @vedangvatsa & Retweet this post - Then, DM for the link