5x Founder Runs His Startup Solo With AI Agents
行动建议:采用AI代理系统实现单人团队的多倍增长效果,将AI助手整合到产品开发、市场营销、客户服务等各个环节,构建可扩展的业务模型而不依赖大量人力投入。
5x Founder Runs His Startup Solo With AI Agents
行动建议:采用AI代理系统实现单人团队的多倍增长效果,将AI助手整合到产品开发、市场营销、客户服务等各个环节,构建可扩展的业务模型而不依赖大量人力投入。
the best data filter may be **no filter**, with projections suggesting the crossover for internet-scale pools lands around **1e30 FLOPs**
这一数据点提出了一个有趣的假设:在足够大的计算规模(约1e30 FLOPs)下,不进行数据过滤可能是最佳选择。这一数字远超当前实际可用的计算资源,表明这一理论极限尚未在实践中达到。然而,这一观点挑战了当前AI数据处理的最佳实践,可能暗示随着计算能力的持续增长,数据预处理的重要性可能会降低,这对AI基础设施的设计有重要启示。
The resulting model, SU-01, supports stable reasoning on difficult problems with trajectories exceeding 100K tokens
Highlights a key capability: handling extremely long reasoning chains (100K+ tokens). This is a significant metric for evaluating the depth and persistence of the model's problem-solving abilities.
METR pays human programmers a minimum of $50 per hour, so getting a baseline for a single 160-hour task would cost at least $8,000.
一道测试题的人类基准成本高达 8000 美元——这个数字揭示了 AI 评测的一个被严重低估的物理限制:测量 AI 能力需要大量人类劳动,而随着 AI 能力向「月级任务」延伸,建立可靠基准的成本将呈超线性增长。更根本的问题是:你很难让一个有能力的程序员花数周时间做一个「测试任务」,即便报酬丰厚。人类评测员的可获得性,将成为 AI 能力评估的真正天花板。
At this rate, the phone in your pocket will run today's frontier models before you upgrade it.
大多数人认为手机硬件需要不断升级才能运行最新的AI功能,但作者认为技术压缩速度如此之快,以至于现有手机在升级前就能运行曾经的顶级模型,这颠覆了人们对硬件更新周期的认知。
I'm a little--maybe more than a little--concerned with trying to encapsulate every possible stylistic variation in every API into locale identifiers. A certain amount of this, sure. But this model won't scale and it will be difficult for developers and customers to use.
we've come up with micro designs and processes which when repeated should enable assemblies to grow exponentially to create critical campaigns that can take over councils and governments
for - fascism and polarization intervention - scalability - Roger Hallam
It's going to be so fun to scale when you finally want to add more unsubscribe links for different types of sequences
Many of the neighbourhood organisations were able to support and initiate new projects and busi-nesses
for: question - climate crisis - local solutions - scalability
question
Scalability – in the data/metadata stored;
Characteristics
Scalability
Characteristics
“multiple storage”
Within the history of personal knowledge management, one was often faced with where to store their notes so that it would be easy to find and use them again. Often this was done using slip methods by means of "multiple storage" by making multiple copies and filing them under various headings. This copying process was onerous and breaks the modern database principle "don't repeat yourself" (DRY).
Alternate means of doing this include storing it in one place and then linking that location to multiple subject headings in an index, though this may cause issues of remembering which subject heading when there are many appropriate potential synonyms.
Modern digital methods allow one to store a note in one location and refer to it in multiple ways electronically as well as with aliases.
In the case of buffering, you could perhaps accumulate incoming messages in an array and periodically flush it on each requestAnimationFrame, rendering that list into the DOM. Alternatively, you could buffer them for some duration, like every second. If you’re appending them into an existing table, you’ll probably also want to use some form of table virtualization because rendering 100k rows is also going to be a huge bottleneck — and a form of backpressure!
Forwarding events from the native element through the wrapper element comes with a cost, so to avoid adding extra event handlers only a few are forwarded. For all elements except <br> and <hr>, on:focus, on:blur, on:keypress, and on:click are forwarded. For input and textarea, on:input and on:change are also forwarded. For audio and video, on:pause and on:play are also forwarded.
Shouldn't have to individually list them. Should be able to just pass an array, and say, like forwardEvents(events_array)
gRPC can use protocol buffers as both its Interface Definition Language (IDL) and as its underlying message interchange format
The gRPC infrastructure decodes incoming requests, executes service methods, and encodes service responses.
Encoding and decoding does happen in gRPC
We instead scaled up our ElasticSearch cluster using Google Container Engine and with it’s powerful aggregations and facet processing our needs were easily met.
Scalability is the problem you want to have, and sooner rather than later, but maintainability is the problem you’re definitely going to have, sooner or later.
Popular architectures deal with heavy traffic loads by adding logic to cache popular views and resources.
Adam Kucharski on Twitter. (n.d.). Twitter. Retrieved October 5, 2020, from https://twitter.com/AdamJKucharski/status/1312749950028189697
Rostami-Tabar, B., Ali, M. M., Hong, T., Hyndman, R. J., Porter, M. D., & Syntetos, A. (2020). Forecasting for Social Good. ArXiv:2009.11669 [Cs]. http://arxiv.org/abs/2009.11669
Explicitly exposing any attributes that might get overridden by a parent seems impractical to me.
It would be tiresome - and bloated - to include a class pass-through for every component or assigning custom properties (from the RFC linked) for all potential properties on every component, just in case it's gonna be used in layouts that requires it. Wrapping them in a wrapper div is certainly an option, but potentially creates 100s or 1000s (long lists, several lists etc.) of new elements in the DOM slowing down low-end devices.
Your tooltip component will have to wrap your image with a span tag or something, it can’t just add events to its children. And if you are adding multiple actions to it you will have to wrap it multiple times.
vs.
<img use:concern1 use:concern2>
You'll have to create a new component that brings in the functionality of both. TooltipButton, TooltipLink, Link, and TooltipRoutedLink. We're starting to get a lot of components to handle a bit of added functionality.
You can imagine the ensuing combinatorial explosion if we needed to add borders or box shadows or filters or what-have-you.
For the tooltip example, if you had a whole bunch of tooltips on different elements, it would be annoying to have different event listeners and "should it be shown" variables for each one.
You must: reference each element you are extending using refs or an id add code in your oncreate and ondestroy for each element you are extending, which could become quite a lot if you have a lot of elements needing extension (anchors, form inputs, etc.)
Houlihan, C. F., & Beale, R. (2020). The complexities of SARS-CoV-2 serology. The Lancet Infectious Diseases, 0(0). https://doi.org/10.1016/S1473-3099(20)30699-X
You can help ensure your RFC is reviewed in a timely manner by putting in the time to think through the various details discussed in the template. It doesn't scale to push the thinking onto a small number of core contributors.
Guo, L., Boocock, J., Tome, J. M., Chandrasekaran, S., Hilt, E. E., Zhang, Y., Sathe, L., Li, X., Luo, C., Kosuri, S., Shendure, J. A., Arboleda, V. A., Flint, J., Eskin, E., Garner, O. B., Yang, S., Bloom, J. S., Kruglyak, L., & Yin, Y. (2020). Rapid cost-effective viral genome sequencing by V-seq. BioRxiv, 2020.08.15.252510. https://doi.org/10.1101/2020.08.15.252510
Walls, A. C., Fiala, B., Schäfer, A., Wrenn, S., Pham, M. N., Murphy, M., Tse, L. V., Shehata, L., O’Connor, M. A., Chen, C., Navarro, M. J., Miranda, M. C., Pettie, D., Ravichandran, R., Kraft, J. C., Ogohara, C., Palser, A., Chalk, S., Lee, E.-C., … King, N. P. (2020). Elicitation of potent neutralizing antibody responses by designed protein nanoparticle vaccines for SARS-CoV-2. BioRxiv, 2020.08.11.247395. https://doi.org/10.1101/2020.08.11.247395
Vogels, C. B. F., Brackney, D., Wang, J., Kalinich, C. C., Ott, I., Kudo, E., Lu, P., Venkataraman, A., Tokuyama, M., Moore, A. J., Muenker, M. C., Casanovas-Massana, A., Fournier, J., Bermejo, S., Campbell, M., Datta, R., Nelson, A., Team, Y. I. R., Cruz, C. D., … Grubaugh, N. (2020). SalivaDirect: Simple and sensitive molecular diagnostic test for SARS-CoV-2 surveillance. MedRxiv, 2020.08.03.20167791. https://doi.org/10.1101/2020.08.03.20167791
It’s also been a year where we’ve had to acknowledge that we have reached the ideal of what we can achieve as a consulting firm in our current configuration, and — more importantly — that we don’t wish to transform the organization into something larger. As with most things that bring joy, the kind we experience within the confines our our tight-knit company are particularly problematic to scale — especially when faced with impending remote-working realities — so we’re opting to go the “love you and leave you” route instead.
At Google, our attitude has always been that users should be able to control the data they store in any of our products, and that means that they should be able to get their data out of any product. Period. There should be no additional monetary cost to do so, and perhaps most importantly, the amount of effort required to get the data out should be constant, regardless of the amount of data. Individually downloading a dozen photos is no big inconvenience, but what if a user had to download 5,000 photos, one at a time, to get them out of an application? That could take weeks of their time.