Keep on to blur preview images; turn off to show them clearly
一起来看看11labs如何在AI时代保证高效敏捷的市场策略👇🏻 三个月原则 AI产品在研发过程中会出现一种“前沿研究”与“产品落地”之间难以调和的矛盾 11Labs通过三个月原则，如果一个体验需要模型优化三个月以上，那么产品团队就先行开发“过渡”方案来满足市场需求，避免因等待长期研究而错失良机 双轨制管理 Pre-PMF，给团队6个月时间去证明价值，快速试错验证市场，鼓励探索和冒险，时间到了如果无法证明价值就迅速砍掉 Post-PMF，追求稳定可靠的长期增长，进行大量测试和评估，准备好才部署上线，面相企业用户时明确提供Alpha/Beta版本，让用户自行选择 人才与组织 全球化远程招募，随规模增大加设线下Hub集体办公 并且主动寻找「非传统背景」人才，例如曾雇佣了一位在呼叫中心工作、但业余时间开发了顶尖开源文本转语音模型的工程师，并让他成为核心研究员。 扁平化、小团队、高所有权，有20个5-10人小队，团队拥有极高的自主权去推进和发布产品。 一年前取消了所有内部头衔，旨在确保决策权和影响力来源于个人能力和贡献，而非资历或职位。 刻意控制信息透明度。为避免团队因信息过载而分心，会有选择性地限制某些Slack频道的访问权限，以强制团队保持专注。 市场策略 找到多方共赢模式，从创作者（PLG）到企业客户 不仅和用户，客户共赢，还需要设置好激励机制和员工共赢（毕竟企业销售周期长，和快速迭代的文化有冲突） 有意思的是，11labs会向销售承诺，如果为了公司长期利益而放弃一个“坏”订单，公司依然会支付销售佣金，以此鼓励团队做出正确决策。
https://t.co/cI60bXuVAz
RT @VittoStack: Building an AI security auditor? You can now join the Solodit API closed beta to get access to: - 49,000+ vulnerabilities…
CPO @CyfrinAudits | Ex @Alchemy | Created @cyfrinupdraft and @AlchemyLearn | Robotics | Making web3 mainstream
This is that youtube history unc you know, it's nice that everyone feels compelled to yap about everything these days, even topics obscure to them. As a result, we have a powerful system of selecting for true, general epistemic rigor. I value it highly. This guy is sloppy.
We're in a race. It's not USA vs China but humans and AGIs vs ape power centralization. @deepseek_ai stan #1, 2023–Deep Time «C’est la guerre.» ®1
When I started my content creation journey 6+ years ago I launched a patreon to allow people to support my work. This was among the first revenue streams that I had. I haven’t promoted this for more than 4 years as I went into building my own products and yet, every month I get $5 from 2 people who’ve been supporting me for all these years! Thank you! 🙏
I build stuff. On my way to making $1M 💰 My projects 👇
Paper: https://t.co/eqawsacDxF Project: https://t.co/o4bjA8AFZz YouTube: https://t.co/UcV7WsifoS
Your guide to radiance fields | Host of the podcast @ViewDependent | Founder and CEO of https://t.co/5MjtfpwEU3 | FTP: 279 | discord: https://t.co/lrl64WGvlD
PercHead: Perceptual Head Model for Single-Image 3D Head Reconstruction & Editing Contributions: • A novel architecture achieving superior single-image 3D head reconstruction, especially at challenging viewing angles. • A perceptual loss formulation based on generalized vision models DINOv2 and SAM2.1, significantly improving visual quality. • Advanced 3D face editing capabilities enabled by fine-tuning our strong, generalized base model on FARL segmentation maps and CLIP embeddings, demonstrating both its versatility in handling diverse inputs and its transferability to novel downstream tasks.
Paper: https://t.co/eqawsacDxF Project: https://t.co/o4bjA8AFZz YouTube: https://t.co/UcV7WsifoS