这是一个惊人的学习曲线，从25%到86%的提升发生在短短6周内。这表明系统具有强大的自学习能力，能够快速从实践中改进。86%的75%准确率意味着约14%的案例仍需人工干预，这符合实际应用场景中AI与人类协作的模式。

这个数据点表明Claude在数学方面的表现差距可能在缩小。最新版本(4.6和4.7)的数学ECI与总体ECI差距在1分以内，而早期模型差距更大。这可能暗示Claude的数学能力正在改进，或者模型训练方法有所调整。这是一个积极的趋势，值得进一步追踪后续版本的表现。

文章提到Claude在生产环境中将交付时间缩短高达70%。这是一个显著的性能提升数据，但在不同应用场景中的实际效果可能有所差异。70%是一个引人注目的数字，但需要考虑基准测试的具体条件和行业差异。

这是一个惊人的性能提升，从14%到88%的可行解发现能力增加了约6倍。这表明AlphaEvolve在电网优化问题上有突破性进展，显著减少了电网后处理步骤的需求，可能带来巨大的能源效率提升。

这是一个显著的数据点，表明AlphaEvolve在基因组学应用中大幅提高了DeepConsensus模型的准确性。30%的误差减少对于基因测序研究具有重要意义，可以降低成本并提高数据质量，可能发现以前隐藏的致病突变。

大多数人认为模型的能力受其规模和训练数据的限制，需要更大模型或重新训练才能提升性能。但作者提出小模型通过自我递归调用可以在推理时动态扩展能力，无需重新训练就能达到单个模型无法企及的高度。这挑战了规模即能力的行业共识，暗示小模型可能通过自省机制实现突破性能力。

最佳实践是针对特定需求定制开发，而非依赖通用框架，这可以显著提升性能。

尽管Bun项目从AI辅助中受益，但Zig项目坚持其反AI政策，突显了项目间价值观的差异。

该框架不仅提高了决策智能体的技能检索和动作生成能力，而且技能库智能体持续提取、精炼和更新技能及其合约，这表明了框架在技能管理和更新方面的效率。

通过分析过去的成功和失败，GRAO在提出有效更新方面变得越来越擅长，使得系统能够学习如何自我优化，表明该框架具有自我改进的能力。

This highlights the significant performance improvements in the V4 architecture over its predecessor, which is crucial for understanding the benefits of upgrading.

大多数人认为安全测试要么成功要么失败，不应有'部分成功'的概念，但OpenAI明确表示会为'部分胜利'提供奖励，这打破了传统二元思维，表明他们重视渐进式安全改进而非仅追求完美解决方案。

文章提到模型基于ICLR 2026论文，并已大幅改进方法和用户体验，但没有具体说明改进的幅度或基准数据。此处缺乏量化依据，无法评估从研究原型到商业产品的改进程度。

虽然大多数AI研究者相信自我演化能带来性能提升，但很少有人能够证明这种提升在多个具有挑战性的基准测试中持续超过强大的基线模型。作者声称他们的AGS系统不仅实现了自我演化，而且这种演化是闭环的、可审计的，这挑战了当前AI社区对自我演化系统的认知，暗示了更加结构化的演化方法可能比开放式的演化更有效。

这个发现揭示了代理模型在长时间运行任务中的独特优势 - 它们能够持续改进而非达到性能上限。这与传统AI模型形成鲜明对比，后者通常在训练完成后性能相对固定。这种持续学习能力可能是代理模型在实际生产环境中超越其他模型的关键因素。

令人惊讶的是：AI模型能够自主进行代码修改和自我优化，这代表了人工智能自主性的一大突破。M2.7模型不仅能够分析自己的失败，还能自主决定哪些代码更改保留，哪些回退，这种自我进化的能力打破了传统AI开发模式，展示了AI系统自我改进的潜力。

这一声明揭示了模型迭代的关键进步点，表明Gemini Robotics-ER系列正在专注于解决机器人实际应用中的核心挑战。从1.5到1.6的显著提升暗示了AI在理解物理世界方面正在实现质的飞跃，这种进步可能直接转化为机器人在工业、医疗和家庭环境中的实用价值。

AI模型能力在短短4个月内取得显著进步，某些领域的能力提升高达20-30%，这一现象揭示了AI技术发展的指数级加速趋势。这种快速进步意味着当前的企业AI采用情况可能只是冰山一角，未来将有更多行业和场景因AI能力突破而迎来爆发式增长。

令人惊讶的是：AI模型能力在过去4个月内取得了惊人的进步，会计和审计领域在GDPval基准测试中提升了近20%，而警察/侦探工作领域甚至提升了近30%。这种快速进步的速度远超人们的预期，预示着AI将在更多领域实现突破性应用。

令人惊讶的是：TriAttention技术带来了2.5倍的推理速度提升，这是一个显著的性能飞跃。对于需要实时响应的应用场景，这种速度提升意味着用户体验质的改变，也使得大模型在更多实时应用中变得可行。

令人惊讶的是：GLM-5.1能够自主处理模糊问题，通过分解复杂问题、运行实验、读取结果和精确识别障碍物来实现长期生产力。这种自我迭代和策略调整的能力表明AI正在从简单执行者向自主问题解决者转变。

令人惊讶的是：AI训练效率的提升速度令人震惊。在短短6年内，语言模型的训练时间从167分钟缩短到不到4分钟，效率提升了40多倍。这种进步远超摩尔定律预测的5倍改进，展示了AI硬件和算法的飞速发展。

令人惊讶的是：AI模型训练速度在6年内提升了约50倍，远超摩尔定律预测的5倍。这种性能提升不仅来自硬件改进，还来自软件优化和算法创新。这一事实打破了人们对技术进步速度的传统认知，展示了AI领域独特的加速发展模式。

AI Scientist 存在「论文质量 Scaling Law」——底层模型越强，生成的论文质量越高。这个发现的含义令人不寒而栗：随着 GPT-5、Claude Opus 4.6、Gemini 3.1 等模型持续迭代，AI Scientist 生成的论文质量将自动提升，无需任何额外的工程投入。AI 加速科研，更强的 AI 又反过来加速 AI 自身的科研——这是第一个有实证数据支撑的正反馈循环证据。

从「提出假设」到「撰写论文」的完整科研周期，由一个系统自主完成——这是人类有史以来第一次把「科学发现」这件事本身自动化。令人震惊的是，这不是某种特定任务的自动化（比如蛋白质折叠或围棋），而是「做科研这件事」的自动化。这意味着 AI 开始具备自我迭代、自我升级的能力——因为科研本身就是产生更强 AI 的途径之一。

大多数人认为从前沿模型到接近完美的准确率需要根本性的技术突破或大量数据训练。但作者声称仅通过切换到Deep Extract方法就能将准确率从10-20%提升到99-100%，这种巨大性能提升的幅度与行业通常预期的改进曲线相悖，暗示现有方法可能存在根本性缺陷。

大多数人认为增加机器可读的接口（如标志、JSON配置）会降低工具对人类的友好度。但作者认为，这些为AI代理设计的特性实际上改善了人类用户体验，因为它们使工具更加明确、可预测和可组合，而不是让工具变得更复杂。

• the formative years build who you will be for the rest of your life
• any healing work that you'll do later in life requires looking back at the formative years
• a teacher needs to be devoted to truth

for - definition - recursive self-improvement threshold

🔧 Mention any user feedback or metrics that demonstrate the app's success.

🔧 Specify how this bot improved user experience or efficiency.

🔧 Clarify the potential business impact or use case for this AI agent.

🔧 Specify the impact of dashboards on decision-making or efficiency to enhance this bullet.

🔧 Consider adding the date of certification to provide context on your qualifications.

🔧 Add specific technologies used or methodologies applied to enhance technical depth.

🔧 Clarify the impact of this feature on user experience or efficiency for better context.

Test 123!

for - quote - it takes practice to recognize the wholeness and completeness already here, and don't turn our practice into "self-improvement" because that is an indication of falling into illusion that wholeness isn't present - Barry Magid

quote - Our practice is about experiencing - an underlying wholeness, - an underlying perfection and joy - that is part of our lives regardless of their content. - But like Bodhidharma’s answer, this is very deeply counter-intuitive to most of us, - yet we have to figure out what it means to practice - without turning it into a version of self-improvement.

for - critique - extreme wealth inequality cannot be avoided for the greater improvement of society - The Gospel of Wealth - Andrew Carnegie - stats - Mondragon corporation - comparison of pay difference between highest paid and lowest paid - adjacency - Gandhi quote - Andrew Carnegie beliefs in The Gospel of Wealth

critique - extreme wealth inequality cannot be avoided for the greater improvement of society - The Gospel of Wealth - Andrew Carnegie - It's a matter of degree - Wealth differences within US corporations of 344 to 1 are obscene and not necessary, as proven by - Wealth difference of 6 to 1 in Mondragon federation of cooperatives - To quote - Gandhi, there is enough to meet everyone's needs but not enough to meet everyone's greed - The great problem with such large wealth disparity is that those who know how to game the system can earn obscene amounts of money - and since the concept of luxury goods is made desirable and proportional to monetary wealth, it creates a positive feedback loop of insatiability - The combination of engaging in ever greater luxury lifestyle and power is intoxicating and addictive

to - stats - Mondragon corporation - comparison of pay difference between highest paid and lowest paid - https://hyp.is/QAxx-o14Ee-_HvN5y8aMiQ/www.csmonitor.com/Business/2024/0513/income-inequality-capitalism-mondragon-corporation

Terms like locking in, ghosting, monk mode, winter arc, are common in the self-improvement scene on YouTube. A period of extreme focus and isolation to go deep into something.

Another spin (02:00) is that of an almost monk like quality. That of self discovery and inner transformation. So these terms have both a productive and (spiritual) transformational spin to them. I remember Tarik (friend) saying to me that you should become unrecognisable in these three months. Literally becoming something else (ie transformation).

for - CECAN - goal - policy improvement

for - definition - progress - material - economist Sydney Pollard - improvement

for - heating rooms with steam - hvac low tech - home improvement - steam heating

• for: COP - suggestion for improvement

• suggestion for improvement: COP

  • "the focus of every Cop should not be at the whim of the Presidency
    • every Cop should focus on all areas where emissions reductions are needed.
  • A system of smaller results-based meetings that focus on delivery, accountability, alignment with science, and safeguarding social justice is needed".

NNN is a personal challenge, and nothing more.

• for: meditation - improvement with micro phenomenological interview

13:00 adversity/challenge as tool for enlightenment & self-improvement

23:00 “can I take one more step” as way for improving self (achieving succes), creating momentum

(~14:00) The way to gain massive results is to have massive irrational goals complemented by small reasonable steps or milestones.

Big goals motivate. Big goals give focus and clarity, they are a filter (see Dr. Benjamin Hardy's content); they allow for easy application of the power law.

(~13:00) Koe argues for making information relevant (Dr. Sung always says you must make info relevant) through the learning for the solving of a particular problem, either for a client, your business, or your personal life. Your problem becomes the lense through which you learn.

For self-education this is ideal.

Dr. Sung's approach differs in that he advocates for the creation of relevancy through inquiry (the asking of relational questions) which is also incredibly powerful, however this is more suited to gaining more motivation for forced learning, i.e., in the formal education system.

In addition, Koe's lense is, I think, more of a high-level filter, whereas Sung's questioning is applicable on the content level. Therefore, both approaches could be, and should be, combined into the same overall (self-)educational system.

Ten minutes before sleep, do the following: PRAY

It's a combination of visualization, commitment, and meditation

Request the subconscious through this act of prayer.

Also visualize the outcome and process of that which you aspire to do the following day, and even that which you want to achieve the following month(s). Thus, visualize the following: Big Picture, Milestones, and yourself the next day.

In the morning, process your subconscious state by instead of immediately inputting, you start outputting!

This can be done through journaling.

Put the phone on airplane mode (in addition to blocking blue light) before sleep, for quite some time before sleep, in order to avoid (over)stimulation and the creation of dopamine which negatively impacts (falling a)sleep

What is done right before and right after sleep sets the stage for literally everything.

How you do anything is how you do everything.

(~10:00) "The context determines the meaning of the content."

Thus reframing is very powerful as you recontextualize the past, and therefore see it in a whole new light; the meaning of the past changed.

By asking what you have learned from the past, you become anti-fragile and flexible, as you turn the past into something useful; an asset.

"The past happens for us, not to us."

"How you frame the past influences your expectations for the future."

"You can't disconnect your view of the future from your experience in the present."

"You can't have meaning in the present without hope & purpose in the future."

One of the powerful things about journaling is that you can control the past; reframe it. What is the meaning of the past gets determined by both the present and the future.

Hardy recommends to often (even daily) reflect on the past and notice how different you are now compared to then. What you have achieved, what is possible now that was not possible then, etc.

What did I learn today?

(~4:00) We interpret reality in a (cognitive) schema. Reality exists only in the mind. We cannot view reality objectively because it is intertwined with perception and cognition (see also John Boyd's OODA loop).

Sidenote; because of this, time is also holistic; in our schema, the past, present, and future are basically all-existent at once.

Watch this video for much interesting information about journaling.

Journaling is all about agency

"Journaling is an opportunity to think the thoughts that we're not allowed to say out loud."

Another social factor influencing human behaviour. Beware of such factors when it comes to self-improvement and learning.

This is interesting for itself.

(reference: Sicker in the Head)

It's also interesting because it's an example of regular rehearsal that actors, comedians, storytellers, performers and even salespeople often do to slowly hone and improve their performance or pitch. Each retelling and the response it gives provides subtle hints and clues as to how to improve the story or performance on the next go round, or at least until the thing is both perfected and comes out the same way every time.

This is a pretty good example of a strawman argument. The author uses the correct exponential growth formula to describe a precise 1% improvement rate. But that's not what the 1% improvement idea is about. For instance, consider https://nextbigideaclub.com/magazine/get-1-better-every-day/19161/ or https://betterhumans.pub/continuous-improvement-how-to-get-1-better-every-day-from-today-a8128c942c61 The argument isn't based on a strict interpretation of 1%.

Here is the area needed to consider to improve moving forward

Should be able to separate storage balance and credits for servicing traffic.

We need to slow down - in every aspect of our lives - so we can attend to the present more thoughtfully, seriously, and appreciatively. Now will never happen again.

This is clearly a political statement intended to get more people to contribute to the country's economy. It is, however, woefully wrong in the broader sense.

Persistence does matter, but it isn't "omnipotent". Persistence, like education, can and should be acquired. But without talent and intelligence (and curiosity, and honour, and truthfulness, and...), persistence alone will not suffice.

The public Indyweb is eminently designed as a public space for holding deep, continuous, asynchronous conversations with provenance. That is, if the partcipant consents to public conversation, ideas can be publicly tracked. Whoever reads your public ideas can be traced.and this paper trail is immutably stored, allowing anyone to see the evolution of ideas in real time.

In theory, this does away with the need for patents and copyrights, as all ideas are traceable to the contributors and each contribution is also known. This allows for the system to embed crowdsourced microfunding, supporting the best (upvoted) ideas to surface.

Participants in the public Indyweb ecosystem are called Indyviduals and each has their own private data hub called an Indyhub. Since Indyweb is interpersonal computing, each person is the center of their indyweb universe. Through the discoverability built into the Indyweb, anything of immediate salience is surfaced to your private hub. No applications can use your data unless you give exact permission on which data to use and how it shall be used. Each user sets the condition for their data usage. Instead of a user's data stored in silos of servers all over the web as is current practice, any data you generate, in conversation, media or data files is immediately accessible on your own Indyhub.

Indyweb supports symmathesy, the exchange of ideas based on an appropriate epistemological model that reflects how human INTERbeings learn as a dynamic interplay between individual and collective learning. Furthermore, all data that participants choose to share is immutably stored on content addressable web3 storage forever. It is not concentrated on any server but the data is stored on the entire IPFS network:

"IPFS works through content adddressibility. It is a peer-to-peer (p2p) storage network. Content is accessible through peers located anywhere in the world, that might relay information, store it, or do both. IPFS knows how to find what you ask for using its content address rather than its location.

There are three fundamental principles to understanding IPFS:

Unique identification via content addressing Content linking via directed acyclic graphs (DAGs) Content discovery via distributed hash tables (DHTs)" (Source: https://docs.ipfs.io/concepts/how-ipfs-works/)

The privacy, scalability, discoverability, public immutability and provenance of the public Indyweb makes it ideal for supporting hyperconversations that emerge tomorrows collectively emergent solutions. It is based on the principles of thought augmentation developed by computer industry pioneers such as Doug Englebart and Ted Nelson who many decades earlier in their prescience foresaw the need for computing tools to augment thought and provide the ability to form Network Improvement Communities (NIC) to solve a new generation of complex human challenges.

imitations and constraints, leaving you happily unoptimized and free to roam, to wonder, to wander toward whatever makes you feel alive here and now in each moment.

Some may categorize handbooks on note taking within the productivity space as "self-help" or "self-improvement", but still view it as something that happens outside of ones' self. Doesn't improving one's environment as a means of improving things for oneself count as self-improvement?

Marie Kondo's minimalism techniques are all external to the body, but are wholly geared towards creating internal happiness.

Because your external circumstances are important to your internal mental state, external environment and decoration can be considered self-improvement.

Could note taking be considered exbodied cognition? Vannevar Bush framed the Memex as a means of showing associative trails. (Let's be honest, As We May Think used the word trail far too much.)

How does this relate to orality vs. literacy?

Orality requires the immediate mental work for storage while literacy removes some of the work by making the effort external and potentially giving it additional longevity.

Petrie-Flom Center. (2021, December 6). COVID-19, Science, and the Media: Lessons Learned Reporting on the Pandemic. https://www.youtube.com/watch?v=8ZVVVLi4dBc

Wallis, C. (n.d.). COVID Has Pushed Medical Research into Remote Trials, Benefiting Patients and Scientists. Scientific American. https://doi.org/10.1038/scientificamerican0521-24

I'm surprised this operation is not done via some dune task. I'd expect the "plugin" for dune to add high-level commands to reset the test coverage; or to perform the reset automatically at each execution of a test.

Chen, W., & Zou, Y. (2021). Why Zoom Is Not Doomed Yet: Privacy and Security Crisis Response in the COVID-19 Pandemic. SocArXiv. https://doi.org/10.31235/osf.io/mf935

Good move. Rather than having 2 different methods, and requiring people to "go out of their way" to "opt in" to using chunks by using the longer-named javascript_packs_with_chunks_tag, they changed it to just use chunks by default, out of the box.

Now they don't need 2 similar but separate methods that do nearly the same, which makes things simpler and easier to understand (no longer have to stop and ask oneself, which one should I use? what's the difference?).

You can't get it "wrong" now because there's only one option.

And by switching that method to use the shorter name, it makes it clearer that that is the usual/common/recommended way to go.

I really hope they keep breaking it.

Jed Kolko. (2021, February 8). Nice healthy jump in @indeed US job postings: +2.4% above pre-pandemic baseline as of Feb 5. Was +0.7% one week earlier, on Jan 29. Accelerating improvement! 1.7 %pt weekly gain is similar to last summer’s recovery pace. (Just a chart this week, no blogpost.) https://t.co/62FENliwdD [Tweet]. @JedKolko. https://twitter.com/JedKolko/status/1358887964697264132

This emphasises that problems are to be solved not only during or after a decision in a retrospective, but during a sprint. However, achieving the Sprint Goal and meeting the DOD for each sprint backlog item still has priority over improvement work. Ach

Harvey, H., Reissland, N., & Mason, J. (2015). Parental reminder, recall and educational interventions to improve early childhood immunisation uptake: A systematic review and meta-analysis. Vaccine, 33(25), 2862–2880. https://doi.org/10.1016/j.vaccine.2015.04.085

Cailin O’Connor. (2020, November 10). New paper!!! @psmaldino look at what causes the persistence of poor methods in science, even when better methods are available. And we argue that interdisciplinary contact can lead better methods to spread. 1 https://t.co/C5beJA5gMi [Tweet]. @cailinmeister. https://twitter.com/cailinmeister/status/1326221893372833793

This is an interesting sounding take. Worth thinking about further.

Python-igraph 0.8.3. (2020, October 8). Igraph Support Forum. https://igraph.discourse.group/t/python-igraph-0-8-3/473

Let’s Not Go Back to ‘Normal.’ (2020, September 4). Bloomberg.Com. https://www.bloomberg.com/news/articles/2020-09-04/return-to-normal-will-sacrifice-innovation

Frias‐Navarro, D., Pascual‐Llobell, J., Pascual‐Soler, M., Perezgonzalez, J., & Berrios‐Riquelme, J. (n.d.). Replication crisis or an opportunity to improve scientific production? European Journal of Education, n/a(n/a). https://doi.org/10.1111/ejed.12417

Almond, D., Du, X., & Zhang, S. (2020). Ambiguous Pollution Response to COVID-19 in China (Working Paper No. 27086; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w27086

Lavoie, K. (2019). Applying behavioural science to improve physicians’ ability to help people improve their own health behaviours. European Journal of Public Health, 29(Supplement_4). https://doi.org/10.1093/eurpub/ckz185.812

Salemi, C., Canola, M. T., & Eck, E. K. (2002). Hand Washing and Physicians: How to Get Them Together. Infection Control & Hospital Epidemiology, 23(1), 32–35. https://doi.org/10.1086/501965