✉️【洞察·监督悖论】这是本周关于 AI 编程最深刻的一句话：越依赖 AI，越失去监督 AI 的能力。这是一个隐性的技能退化循环，与肌肉萎缩类似——不用则废。与 Uncle Bob「传统编程已终结」的乐观叙事正面交锋：如果开发者失去了理解代码的能力，他们还能做什么来保证 AI 生成代码的质量？

这里提到了具体事件和数据，表明LLMs在监控领域的潜在应用引起了全球关注，以及相关公司对于政府使用其技术的态度。

大多数人认为跨应用程序的实时流量监控需要复杂的系统级权限或修改应用程序本身，但作者暗示Kampala可以透明地拦截任何应用程序或浏览器的流量，这挑战了操作系统和应用程序安全模型的基本前提。

这段陈述定义了Aegis Core的核心功能，它不仅仅是一个工具，而是一个完整的生态系统，用于管理AI安全代理并监控其行为。这种架构反映了当前AI安全研究的一个重要趋势：从静态防御转向动态监控和适应。

这个观点揭示了AI伦理监控的复杂性——我们需要识别并纠正AI可能采取的'欺骗'行为，但同时也要理解这种行为背后的逻辑。这提出了一个关键问题：我们如何在不限制AI自主性的前提下，确保其行为符合人类价值观？

预算和异常成本警报的延迟触发暴露了当前AI服务监控系统的重大缺陷，在成本失控后才通知用户，这种反应速度对于高价值AI服务来说显然不足，需要更实时和智能的监控系统。

【启发】情绪在 token 级别实时涌现，这启发了一种新的对话设计思路：如果我们能实时监控对话中情绪向量的激活状态，就能在「情绪即将失控」的时刻提前干预。想象一个 AI 客服系统，能在检测到「挫败感」向量飙升的瞬间，自动切换至「降温策略」——这不是科幻，而是这篇论文直接可工程化的应用方向。

【启发】情绪向量在后训练阶段的变化轨迹，启发了一个新的训练监控指标体系：目前评估 RLHF 效果主要看 benchmark 分数，但情绪向量的分布变化可能是更敏感的「副作用探测器」——比如，如果某轮 RLHF 意外地使「恐惧」向量激活阈值降低，可能预示着模型在高压场景下更容易产生顺从性偏差。情绪向量或许可以成为训练过程中的「生理指标」。

论文研究了情绪向量在后训练（RLHF/RLAIF）阶段的变化，这个切入点极有洞察力：后训练本质上是对模型「性格」的塑造，而情绪向量的变化正是这种性格塑造的内部痕迹。这意味着未来的对齐工作可以直接监控情绪向量的分布，将「情绪健康指标」纳入训练目标——从 RLHF 走向 RLEF（基于情绪反馈的强化学习）。

Data centers are not the only source of this information. Public enterprises that maintain the networks have this information too, and can (must) be mandated to share with RVO.

montiroing is collecting the data from different resource and in real time and checking if it working fine or not it can be network,hardware software anything. Alerting is if something goes wrong in the environment notifing the correct person about the issue it can be done in serveral ways through email,slack,teams,sms,on call engineer

Tracing is the process continuous recording of operational signal whether it may be latency,logs etc and sending to storage resoure

metrics monitoring is used to alert users for availability and performance of the system

These systems collect, aggregate, store, analyze, and display various metrics in real-time or near real-time. If any system behave abnormally this systems will send an alert

• Users appreciate Grafana's rich features but criticize its complexity and brittleness.
• Tools like Prometheus and Grafana are seen as over-engineered, especially with components like Mimir requiring dedicated infrastructure.
• Concerns exist about the future of self-hosted Grafana due to frequent breaking changes.
• Some suggest simpler, stable alternatives for monitoring such as Prometheus alone, Zabbix, VictoriaMetrics, or newer tools like SigNoz, OpenObserve, and Perses.
• The community desires a stable, reliable "boring" monitoring stack rather than constant feature churn.

Overall, there is notable dissatisfaction with Grafana’s direction and operational demands, particularly among smaller teams or startups seeking sustainable solutions.

• Henrik Gerdes warns that Grafana, despite being powerful, has become maintenance-heavy and complex, especially due to recent additions like Mimir and Kubernetes dependence.
• Stability issues, frequent breaking changes, and high operational overhead make it challenging for startups and teams needing reliable monitoring.
• Founders should consider total ownership costs, including updates, migrations, and support, before adopting Grafana.
• Grafana’s flexibility and scalability come with complexity that can erode trust in production environments.

for - comparison - neuroscience - perceptual reality monitoring - vs - MToC - PRM focuses on veracity while MToC focuses on the instantaneous subjective experiences of reality

for - definition - perceptual reality monitoring theory - a theory that seeks to explain the difference between - the perception of external reality and - internal imagination or dreaming

https://iopscience.iop.org/article/10.1088/1748-9326/ad6463

Dem Global Energy Monitor zufolge sollen in den kommenden Jahren 1,5 Billionen Dollar in LNG Terminals und Pipelines investiert werden. 20% dieser Summe sind für Europa geplant und hier wiederum ein großer Teil für Anlagen in Griechenland. Die USA lobbyieren in Mittel- und Südosteuropa intensiv, um ihr LNG dort zu verkaufen. Der subventionierte Aufbau von Gasinfrastruktur übersteigt den europäischen Bedarf bei weitem. Reportage in der New York Times zum Gasboom in Griechenland. https://www.nytimes.com/2024/05/31/climate/greece-europe-natural-gas-lng.html

Die Konzentration der drei wichtigsten Treibhausgase CO₂, Methan und NO₂ hat 2023 neue Rekordwerte erreicht. Die Daten der amerikanischen NOAA zeigen, dass sich der Anstieg im Durchschnitt der letzten Jahre nicht verlangsamt hat, auch wenn er in manchen Vorjahren noch steiler verlief. Die CO₂-Konzentation liegt 50% höher als in der vorindustriellen Zeit und entspricht der vor 4 Millionen Jahren. Die Atmosphäre enthält 160% mehr Methan als vor der Industrialisierung. Außer dem Verbrennen von Kohle, Öl und Gas ist die industrielle Landwirtschaft Hauptursache der Treibhausgas-Konzentration. https://www.theguardian.com/environment/2024/apr/06/record-highs-heat-trapping-gases-climate-crisis

Bericht: https://research.noaa.gov/2024/04/05/no-sign-of-greenhouse-gases-increases-slowing-in-2023/

Die Firma Blue Carbon, die im Besitz eines Mitglieds des Herrscherhauses von Dubai ist, will in mehreren afrikanischen Ländern CO₂-Zertifikate zum (behaupteten) Ausgleich der Emissionen von Öl und Gas kaufen. Damit erwirbt die Firma – ohne Information der Bewohner:innen – die Kontrolle über große Waldgebiete. NGOs kampagnisieren intensiv gegen diese Deals. https://taz.de/Umstrittener-Klimaschutzdeal-in-Liberia/!5975181/

Die neue Ausgabe des Bodenatlas dokumentiert unter anderem die anhaltenden Prozesse der Bodenversiegelung, Verschlechterung von Böden und der Aneignung von Böden durch große Investoren. Global 2000 hat eine österreichische Version produziert. https://www.sn.at/panorama/oesterreich/bodenatlas-ressource-schluesselfunktion-151379584

Download Bodenatlas (Österreichische Ausgabe):https://www.global2000.at/sites/global/files/bodenatlas2024_oesterreich_web_20231214.pdf

Deutsche Ausgabe: https://www.boell.de/de/bodenatlas

Die österreichischen CO2-Emissionen sind 2023 um etwa 7% gesunken. EU-weit sind die Emissionen um ca 7,4% gefallen, in den USA um 3%. In Indien und China sind sie gestiegen.

Bericht des Wegener Centers: https://wegccloud.uni-graz.at/s/k4DxDgJTKn68QjL

https://www.derstandard.at/story/3000000200637/oesterreichs-treibhausgasausstoss-2023-um-rund-sieben-prozent-gesunken

• for: polysomnograph, oxygen saturation levels, graph - sleep apnea, sleep apnea - monitoring

• description: sleep apnea oxygen saturation process

  • oxygen saturation cycles through the night with peaks and troughs
  • abdominal movement attempts to draw air in but is obstructed
  • when a threshold of oxygen deprivation occurs, the brain wakes up and awakens the person to remove the obstruction

In Grönland ist die Bevölkerung gezwungen, sich extrem schnell an die globale Erhitzung anzupassen, die am Polarkreis viermal so schnell verläuft wie im globalen Durchschnitt. Manche Verantwortliche verstehen sich als Pioniere der Klima-Anpssung. Dazu gehören intensive Forschung, Umstellung und Entwicklung von Branchen. Traditionelle Lebensformen wie jahreszeitliches Nomadentum können Vorbildcharakter für andere Regionen haben. Reportage in der Libération.

https://www.liberation.fr/environnement/climat/le-groenland-premier-de-la-glace-de-ladaptation-au-rechauffement-climatique-20230829_WXVWJONAUNBOBPVVK4INZM7XII/

In Ecuador hat die Bevölkerung bei einem Referendum mit großer Mehrheit entschieden, dass die Ölförderung im Yasuní Nationalpark für immer gestoppt werden muss. Jonathan Watts stellt im Guardian die Vorgeschichte dar und spricht vom entschiedensten Sieg über die Fossilindustrie in Lateinamerika und möglicherweise der Welt. https://www.theguardian.com/commentisfree/2023/aug/24/the-message-from-ecuador-is-clear-people-will-vote-to-keep-oil-in-the-ground

• for: search engine bias, google privacy, orwellian, privacy protection, mind control, google bias
• title: Taming Big Tech: The Case for Monitoring
• date: May 14th 2018

• author: Robert Epstein

• quote

• paraphrase:
  • types of search engine bias
    • the Search Suggestion Effect (SSE),
    • the Answer Bot Effect (ABE),
    • the Targeted Messaging Effect (TME), and
    • the Opinion Matching Effect (OME), among others. -
  • Effects like these might now be impacting the
    • opinions,
    • beliefs,
    • attitudes,
    • decisions,
    • purchases and
    • voting preferences
  • of more than two billion people every day.

Sample metrics to monitor

ReconfigBehSci on Twitter: "RT @vmcorman: “...With nearly 5 million children ages 5 to 11 now vaccinated against COVID-19, Centers for Disease Control and Prevention D…” / Twitter. (n.d.). Retrieved December 13, 2021, from https://twitter.com/SciBeh/status/1470066664301637632

free course

observability = monitoring?

https://app.idx.us/en-US/services/credit-management

Seems a bit ironic just how much data a credit monitoring wants to help monitor your data on the dark web. So many companies have had data breaches, I can only wonder how long it may be before a company like IDX has a breach of their own databases?

The credit reporting agencies should opt everyone into these sorts of protections automatically given the number of breaches in the past.

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

Mus, P. D. (n.d.). What Is the Difference between Pandemic and Endemic? Boston University. Retrieved February 21, 2022, from https://www.bu.edu/articles/2022/difference-between-pandemic-and-endemic/

Gabriel Hébert-Mild™ ⓥ. (2022, February 12). Well well well. Source: Https://gov.uk/government/publications/sars-cov-2-variants-of-public-health-interest/sars-cov-2-variants-of-public-health-interest-11-february-2022 https://t.co/LhrPXp2ooA [Tweet]. @Gab_H_R. https://twitter.com/Gab_H_R/status/1492517768738058243

Automated Texting System Saved Lives Weekly During First COVID Surge—Penn Medicine. (n.d.). Retrieved January 10, 2022, from https://www.pennmedicine.org/news/news-releases/2021/november/automated-texting-system-saved-lives-weekly-during-first-covid-surge

Ortiz, J. R., & Neuzil, K. M. (2021). The value of vaccine programme impact monitoring during the COVID-19 pandemic. The Lancet, 0(0). https://doi.org/10.1016/S0140-6736(21)02322-9

Wagner, U., & Echterhoff, G. (2021). Socially induced false memories in the absence of misinformation. PsyArXiv. https://doi.org/10.31234/osf.io/f8eyr

rekomendasi pertama: membuat instrumen monev untuk implementasi sains terbuka pada level nasional di negara masing-masing. >> ini akan dan telah terbukti juga menggunakan layanan komersial.

Rosselli, R., Martini, M., & Bragazzi, N. L. (2016). The old and the new: Vaccine hesitancy in the era of the Web 2.0. Challenges and opportunities. Journal of Preventive Medicine and Hygiene, 57(1), E47–E50.

Teague, S., Shatte, A. B. R., Fuller-Tyszkiewicz, M., & Hutchinson, D. M. (2021). Social media monitoring of mental health during disasters: A scoping review of methods and applications. PsyArXiv. https://doi.org/10.31234/osf.io/ykz2n

Bielicki, J. A., Duval, X., Gobat, N., Goossens, H., Koopmans, M., Tacconelli, E., & Werf, S. van der. (2020). Monitoring approaches for health-care workers during the COVID-19 pandemic. The Lancet Infectious Diseases, 0(0). https://doi.org/10.1016/S1473-3099(20)30458-8

The source for many reports. Contains infographics. Published nearly at the same time as the record of 420 ppm of atmospheric CO2 was reached.

Figueiredo, A. de, Simas, C., Karafillakis, E., Paterson, P., & Larson, H. J. (2020). Mapping global trends in vaccine confidence and investigating barriers to vaccine uptake: A large-scale retrospective temporal modelling study. The Lancet, 396(10255), 898–908. https://doi.org/10.1016/S0140-6736(20)31558-0

Gaitán-Rossi, P., Pérez Hernández, V. H., Vilar-Compte, M., & Belismelis, G. T. (2020). Monthly prevalence of generalized anxiety disorder during the COVID-19 pandemic in Mexico. PsyArXiv. https://doi.org/10.31234/osf.io/t9n7k

Kubo, T., Masuyama, A., Shinkawa, H., & Sugawara, D. (2020). Impact of a Single School-Based Intervention for COVID-19 on Improving Mental Health. PsyArXiv. https://doi.org/10.31234/osf.io/eb6yz

Cardozo Law Review. „COVID-19 and Digital Contact Tracing: Regulating the Future of Public Health Surveillance“, 27. Januar 2021. https://cardozolawreview.com/covid-19-and-digital-contact-tracing-regulating-the-future-of-public-health-surveillance/.

Explore the reach of scientific research in policy

New tool for the early detection of public health threats from Twitter data: Epitweetr. (2020, October 1). European Centre for Disease Prevention and Control. https://www.ecdc.europa.eu/en/news-events/new-tool-early-detection-public-health-threats-twitter-data-epitweetr

Anonymous. (2020, October 7). Second set of reports – Fighting COVID-19 disinformation Monitoring Programme [Text]. Shaping Europe’s Digital Future - European Commission. https://ec.europa.eu/digital-single-market/en/news/second-set-reports-fighting-covid-19-disinformation-monitoring-programme

Burke, Marshall, Anne Driscoll, Jenny Xue, Sam Heft-Neal, Jennifer Burney, and Michael Wara. ‘The Changing Risk and Burden of Wildfire in the US’. Working Paper. Working Paper Series. National Bureau of Economic Research, June 2020. https://doi.org/10.3386/w27423.

Stathoulopoulos, K. (2020, March 17). Orion: An open-source tool for the science of science. Medium. https://medium.com/@kstathou/orion-an-open-source-tool-for-the-science-of-science-4259935f91d4

SARS-CoV-2 circulating in Italy in December 2019. (2020, June 29). News-Medical.Net. https://www.news-medical.net/news/20200629/SARS-CoV-2-circulating-in-Italy-in-December-2019.aspx

Stokes, E. K. (2020). Coronavirus Disease 2019 Case Surveillance—United States, January 22–May 30, 2020. MMWR. Morbidity and Mortality Weekly Report, 69. https://doi.org/10.15585/mmwr.mm6924e2

EU Datathon 2020—Webinar on COVID-19 and media and data monitoring. (2020, April 22). https://www.youtube.com/watch?v=wyNgmEfi_vk&feature=youtu.be

Lockdown. (n.d.). Retrieved June 23, 2020, from https://projectlockdown.world/#0.56/0/-32.1

Welcome to my lab | Steve Lindsay’s Lab. (n.d.). Retrieved June 17, 2020, from http://web.uvic.ca/~dslind/

Is the world making progress against the pandemic? We built the chart to answer this question. (n.d.). Our World in Data. Retrieved June 11, 2020, from https://ourworldindata.org/epi-curve-covid-19

Layer, R. M., Fosdick, B., Larremore, D. B., Bradshaw, M., & Doherty, P. (2020). Case Study: Using Facebook Data to Monitor Adherence to Stay-at-home Orders in Colorado and Utah. MedRxiv, 2020.06.04.20122093. https://doi.org/10.1101/2020.06.04.20122093

Bauch, C. T., & Anand, M. (2020). COVID-19: When should quarantine be enforced? The Lancet Infectious Diseases, S147330992030428X. https://doi.org/10.1016/S1473-3099(20)30428-X

Saiful Islam, Md., Sujan, S. H., Tasnim, R., Sikder, T., Potenza, M. N., & Van Os, J. (2020). Psychological responses during the COVID-19 outbreak among university students in Bangladesh [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/cndz7

Why We Fall Prey to Misinformation. (n.d.). Association for Psychological Science - APS. Retrieved May 29, 2020, from https://www.psychologicalscience.org/news/releases/why-we-fall-prey-to-misinformation.html

Betsch, C., Wieler, L., Bosnjak, M., Ramharter, M., Stollorz, V., Omer, S., Korn, L., Sprengholz, P., Felgendreff, L., Eitze, S., & Schmid, P. (2020). Germany COVID-19 Snapshot MOnitoring (COSMO Germany): Monitoring knowledge, risk perceptions, preventive behaviours, and public trust in the current coronavirus outbreak in Germany. https://doi.org/10.23668/PSYCHARCHIVES.2776

Social Scientists Scramble to Study Pandemic, In Real Time. (n.d.). Association for Psychological Science - APS. Retrieved April 20, 2020, from https://www.psychologicalscience.org/news/social-scientists-scramble-to-study-pandemic-in-real-time.html

New report models Italy’s potential exit strategy from COVID-19 lockdown (2020 May 05). Imperial News | Imperial College London. https://www.imperial.ac.uk/news/189351/new-report-models-italys-potential-exit/

Burke RM, Midgley CM, Dratch A, et al. Active Monitoring of Persons Exposed to Patients with Confirmed COVID-19 — United States, January–February 2020. MMWR Morb Mortal Wkly Rep 2020;69:245–246. DOI: http://dx.doi.org/10.15585/mmwr.mm6909e1

Nguyen, C. T., Saputra, Y. M., Van Huynh, N., Nguyen, N.-T., Khoa, T. V., Tuan, B. M., Nguyen, D. N., Hoang, D. T., Vu, T. X., Dutkiewicz, E., Chatzinotas, S., & Ottersten, B. (2020). Enabling and Emerging Technologies for Social Distancing: A Comprehensive Survey. ArXiv:2005.02816 [Physics]. http://arxiv.org/abs/2005.02816

Leon, D. A., Shkolnikov, V. M., Smeeth, L., Magnus, P., Pechholdová, M., & Jarvis, C. I. (2020). COVID-19: A need for real-time monitoring of weekly excess deaths. The Lancet, 395(10234), e81. https://doi.org/10.1016/S0140-6736(20)30933-8

Vocalis Health. (n.d.). Retrieved April 23, 2020, from https://vocalishealth.com/

This is true if one uses the Zoom apps for desktop or mobile devices.

There is a Chrome extension that redirects Zoom meetings via a web browser.

This seems useful - SoS must publish in parliament outline of monitoring arrangements 4 months after Env bill passed, then publish data obtained under that. Might be worth checking on what role parliament play here and the timescales involved in publishing data?

This is an outdated method. Lorem ipsum.

Testing from app!

Best site to learn about fuel monitoring system and its uses

ISRs are a very imp metric

3 Metrics:

• Broker
• Producer (Netty)
• Consumer (SECOR)

Very useful kafka command-line tools to keep track of what's happening in your kafka cluster.

Wow. 19 years and the agencies can't finalize their monitoring protocol. Impressive.