SabrinaGoerlich.eth 🟣

Cheers to 2026 💫 This past year, we built more than a protocol! we built trust, transparency, and a foundation for ethical, Shariah-aligned DeFi. From strategic partnerships and institutional backing to rigorous audits and innovative dual-token design, every step was about creating something lasting and meaningful. In 2026, Quintes isn’t just aiming higher! it’s aiming for greatness. More resilience, more accessibility, and more opportunities for everyone to participate in a DeFi ecosystem built on trust and long-term vision. Here’s to a year of growth, impact, and building the future of digital finance together.

These are recent crypto investment stats according to recent Coinlaw research: 💰In 2025, women represent only 26% of global cryptocurrency investors. 💰60% of women cite lack of crypto knowledge as a barrier to entry. 💰52% of women say they don’t feel confident making crypto investment decisions. 💰Educational content tailored to women has higher engagement rates than general tutorials and women adopt crypto at higher rates when introduced via financial education programs. Introducing Si Her Trade, a new trading club for our Si Her DAO members. Curated for all stages of crypto trading experience, with Education 3.0 (peer-to-peer) learning guided by our members. Explore our Si Her DAO to develop your personal Web3 brands, network, and crypto finance literacy: 👇 si3.space/siherdao #web3 #crypto #womxninweb3 #cryptoliteracy #siher

What an amazing Twitter space you curated @AjeetK Super inspiring to follow the wonderful women leaders @sandy_carter from @unstoppableweb @Firdosh_Drife @RidhiKD @daosasha @reflexical @yipclouds From millions of identities onchain, zebracorns, web3taxi and finance for women🤩

Thrilled to speak on Women in Tech at this X Spaces hosted by @AjeetK + along with other amazing Women leaders from across the globe 🗓 Aug 7 🕥 10:30am ET 🔗 twitter.com/i/spaces/1BdxY… @unstoppableweb

Thrilled to host a "WOMEN IN TECH" Twitter Space on Aug 7 at 10:30 am ET, featuring: @Sandy_Carter: COO, Unstoppable Domains & founder of Unstoppable Women of Web3 (scaling decentralized identity) @SabrinaGoerlich: Design‑Sprint expert & fractional CPO in Web3 (human‑centric innovation) @RidhiKD: Co‑Founder LXME (fintech for women, $1.2M raised, 400K+ users) @yipclouds: CEO J3D.AI (ethical AI, equity & Web3 education) @Firdosh_Drife: CEO & Co‑Founder Drife (blockchain-powered ride-hailing Taxi 3.0) @daosasha: Web3 troubleshooter, DAO strategist & community innovator And More... Join live: x.com/i/spaces/1bdxy… Let’s celebrate how women are shaping the future of tech.

@AjeetK @sandy_carter @SabrinaGoerlich Super excited for this power packed session

Over a 1000 listeners for WOMEN IN TECH. And more joining every minute. Please join us and listen to amazingly inspirational journeys.

@AjeetK @sandy_carter @SabrinaGoerlich Listening to @SabrinaGoerlich 's Inspiring journey on how she managed 3 kids and yet established a leadership role as a global leader.. x.com/i/spaces/1BdxY…

Excited to speak in this X Spaces on Women in Tech, hosted by @AjeetK & joined by other amazing leading ladies from the Tech world. 🗓 Aug 7 🕥 10:30am ET 🔗 twitter.com/i/spaces/1BdxY… We’ll talk inclusion, leadership, and design-driven innovation in web3

Berlin Blockchain Week(s) Hackathons, Summits, Brunches, Breathwork, Happy Hours and a Rave It's all happening from June 9-22 🧵

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/issu… ]

NEW! @VitalikButerin joins the @greenpillnet podcast today to talk about Web3 Public Goods Funding in 2025. This episode is part 1 of a 2 part series. In ep 1 we discuss: TIMESTAMPS 00:00 - Intro 2:18 - Why Public Goods? 03:17- Private vs. Public Goods 05:20 - Challenges of Funding Public Goods 06:13 - Intrinsic Motivation and Public Goods 07:16 - Funding Models for Public Goods 09:18 - Digital Ecosystem and Public Goods 10:12 - Revenue Curve and Public Goods 11:36 - Decentralization vs. Domination 13:05 - Competitive Advantage of Public Goods 15:01 - Resilience Through Public Goods 17:07 - Broader Impact of Ethereum 19:18 - Escape Velocity Theory 19:51 - Importance of Public Goods 21:31 - Diversity in Funding Entities 23:44 - Challenges in Funding Public Goods 26:02 - Scaling Funding Needs 27:04 - Hybrid Funding Models 29:09 - Institutionalizing Funding 31:00 - Layer Two Solutions 31:59 - Importance of Scaling Funding 34:00 - Moralism in Ecosystem Dynamics 36:22 - Quality Allocation of Funding 37:26 - Diversity of Funding Mechanisms 39:34 - Stability in Funding Mechanisms 41:09 - Prediction Markets for Public Goods 42:27 - Info Finance Concept 44:36 - Distilled Human Judgment Mechanism 46:52 - Governance as a Lego Concept 47:58 - Forking Protocol Guild 50:54 - Discussion on Ethereum Critique 51:57 - Auto Public Goods Funding 53:11 - Tokenization and Open Source Funding 53:49 - Evaluating Funding Mechanisms 54:48 - Finding High Leverage Projects 56:19 - Challenges in Distribution 57:32 - Public Goods Funding in 2025 59:36 - Outro

@blocktrainer @tagesschau 😂

Auch die @tagesschau berichtet über den jüngsten Kursanstieg von #Bitcoin. 📈 Aber #BTC abzusprechen, ein guter #Wertspeicher zu sein – vor allem im Vergleich mit dem #Dollar oder #Gold –, ist angesichts der ungeschlagenen Performance schon etwas albern. 😬 Das geht besser! 🤓

Your fiat is losing its value by the day. Focus on the bigger picture.

@z3thnft @BitboyOne Legend🧡

I don’t look at charts I just build.

Join WiW3Ch and our partners @CV_Labs @DltTalents @thecryptovalley and @SystAIn3r at #CVSummit2024 Oct. 1 for Female Power Hour at 7 PM CEST! 🚀 Expect a short meditation, networking circles, and complimentary apèros. CV Summit tix holders sign up here: lu.ma/8vvekxqc?tk=s5…

Money is a language to express how valuable something is, socially. #Team

designboom.com/art/wu-tang-cl… via @designboom

🌟 Shoutout to our #NFT Supertalents - Sabrina Goerlich, Sandro Breu, & Nina Hildenbrand! 🌠 Voted by peers for their outstanding engagement in our NFT program, they're true pioneers in #Blockchain & #Web3 🚀 👏 Thanks for your inspiring leadership & contributions!

We're in the "Bad News is Good News" phase of the market right now. If you understand this, you have a massive advantage in this cycle. Let’s unpack what this means! ⏬ 1/ Unemployment rate is up from 3.4% to 3.9% this year. This means more and more people don't have a job. 2/ Most recent Nonfarm Payrolls data did not reach expectations. This indicates that fewer jobs were added in the U.S. economy than analysts predicted. So now you have more unemployed people, and less new people getting jobs. That's bad news. But not for markets. Here's why: What does the government do when things get bad? 1/ They lower rates - so it gets cheaper to borrow money. 2/ At the same time, to help the economy, the government resumes quantitative easing - aka they print money. This influx of liquidity tends to push up the prices of risk assets like crypto and stocks. Now... Keep in mind that to lower rates & print an abundance of money, the FED needs inflation to be lower. PPI & CPI are still at higher levels than the FED would like them to be. So we still have to wait for rate cuts... But the Milk Man thinks it's just a matter of time. If inflation doesn’t continue to go higher, then the FED has more important things on their mind: - Bank failures - Unemployment rising - Trillions of $$$ in national debt Right now, the FED is sitting between a rock and a hard place - having to decide what is more important: - ~3% inflation - Or defaulting on their debt payments (and those are HUGE) The Milk Man believes the latter is more important and the FED will end up lowering rates sooner than later. They may have no choice . So, as we hear more bad news like 'unemployment rate is up', it means we're getting closer to the inevitable money printing season. What's tricky? In the short term, this type of bad news can scare markets, causing sell-offs. However, once investors digest the long-term implications, asset prices often rebound and even rally. So, while no one roots for economic downturns, savvy investors watch these indicators closely. Remember, 'Bad News is Good News'. Don't get scared, zoom out and have patience - this will give you a massive advantage!