As per The Information, Meta employees used a total of 60.2 trillion AI tokens (!!) in 30 days.
这个令人震惊的数据揭示了Meta在AI token使用上的巨大规模,暗示了潜在的经济浪费和资源过度消耗。
As per The Information, Meta employees used a total of 60.2 trillion AI tokens (!!) in 30 days.
这个令人震惊的数据揭示了Meta在AI token使用上的巨大规模,暗示了潜在的经济浪费和资源过度消耗。
Meta also will not hire for 6,000 roles that are currently open.
这是一个重要的数据点,表明 Meta 不仅计划裁员,还将暂停招聘,这可能会对公司的长期招聘和扩张策略产生影响。
Nerd, G. M.-K. H. (2022, February 25). The Jury is Still Out on Ivermectin. Medium. https://gidmk.medium.com/the-jury-is-still-out-on-ivermectin-7d0a1895549
Peter R. Hansen. (2022, February 3). Weighting, is the answer. The only study to find lockdowns ⬆️mortality is given weight 91.8% = 7390/8030, and then you get -0.2% to be the estimate. To summarize: -0.2% META-STUDY ESTIMATE is based on 91.8% ONE STUDY and 8.2% ALL OTHER STUDIES. https://t.co/j6e7ziPNAI [Tweet]. @ProfPHansen. https://twitter.com/ProfPHansen/status/1489366528956919808
AIMOS. (2021, November 30). How can we connect #metascience to established #science fields? Find out at this afternoon’s session at #aimos2021 Remco Heesen @fallonmody Felipe Romeo will discuss. Come join us. #OpenScience #OpenData #reproducibility https://t.co/dEW2MkGNpx [Tweet]. @aimos_inc. https://twitter.com/aimos_inc/status/1465485732206850054
Jonathan Robinson on Twitter. (n.d.). Twitter. Retrieved 6 September 2021, from https://twitter.com/jon_m_rob/status/1431734411335176199
Rogers, J. P., Watson, C. J., Badenoch, J., Cross, B., Butler, M., Song, J., Hafeez, D., Morrin, H., Rengasamy, E. R., Thomas, L., Ralovska, S., Smakowski, A., Sundaram, R. D., Hunt, C. K., Lim, M. F., Aniwattanapong, D., Singh, V., Hussain, Z., Chakraborty, S., … Rooney, A. G. (2021). Neurology and neuropsychiatry of COVID-19: A systematic review and meta-analysis of the early literature reveals frequent CNS manifestations and key emerging narratives. Journal of Neurology, Neurosurgery & Psychiatry, jnnp-2021-326405. https://doi.org/10.1136/jnnp-2021-326405
Mentioned by Heather Staines
=== Databases ===
Potential sources for book/library related data for importing/supporting one's own personal library:
Ioannidis, John P. A. (2020) ‘The Infection Fatality Rate of COVID-19 Inferred from Seroprevalence Data’. MedRxiv. https://doi.org/10.1101/2020.05.13.20101253.
Hoogeveen, S., Sarafoglou, A., & Wagenmakers, E.-J. (2020). Laypeople Can Predict Which Social-Science Studies Will Be Replicated Successfully: Advances in Methods and Practices in Psychological Science. https://doi.org/10.1177/2515245920919667
<small><cite class='h-cite via'>ᔥ <span class='p-author h-card'>hyperlink.academy</span> in The Future of Textbooks (<time class='dt-published'>03/18/2021 23:54:19</time>)</cite></small>
Szabelska, A., Pollet, T. V., Dujols, O., Klein, R. A., & IJzerman, H. (2021). A Tutorial for Exploratory Research: An Eight-Step Approach. PsyArXiv. https://doi.org/10.31234/osf.io/cy9mz
What this means is: I better refrain from writing a new book and we rather focus on more and better docs.
I'm glad. I didn't like that the book (which is essentially a form of documentation/tutorial) was proprietary.
I think it's better to make documentation and tutorials be community-driven free content
Aczel, Balazs, Marton Kovacs, and Rink Hoekstra. ‘The Role of Human Fallibility in Psychological Research: A Survey of Mistakes in Data Management’. PsyArXiv, 5 November 2020. https://doi.org/10.31234/osf.io/xcykz.
Spadaro, G., Tiddi, I., Columbus, S., Jin, S., Teije, A. t., & Balliet, D. (2020, October 28). The Cooperation Databank. https://doi.org/10.31234/osf.io/rveh3
Moreau, D., & Gamble, B. (2020). Conducting a meta-analysis in the age of open science: Tools, tips, and practical recommendations. Psychological Methods, No Pagination Specified-No Pagination Specified. https://doi.org/10.1037/met0000351
Moreau, D., & Gamble, B. (2020). Conducting a Meta-Analysis in the Age of Open Science: Tools, Tips, and Practical Recommendations [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/t5dwg
Cheung, M. W.-L. (2020). Meta-Analytic Structural Equation Modeling [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/epsqt
Chu, D. K., Akl, E. A., Duda, S., Solo, K., Yaacoub, S., Schünemann, H. J., Chu, D. K., Akl, E. A., El-harakeh, A., Bognanni, A., Lotfi, T., Loeb, M., Hajizadeh, A., Bak, A., Izcovich, A., Cuello-Garcia, C. A., Chen, C., Harris, D. J., Borowiack, E., … Schünemann, H. J. (2020). Physical distancing, face masks, and eye protection to prevent person-to-person transmission of SARS-CoV-2 and COVID-19: A systematic review and meta-analysis. The Lancet, 0(0). https://doi.org/10.1016/S0140-6736(20)31142-9
Hanel, P. H. P. (2020). Conducting High Impact Research With Limited Financial Resources (While Working From Home) [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/s3fcu
. Cambiar la forma de cambiar para cambiar de manera autónoma y construir una nueva realidad (comunidad, región, nación) desde abajo y a la izquierda, como los zapatistas gustan decir. La autonomía no se logra por medio de la ‘captura del Estado’ sino recuperando del Estado las áreas claves de la vida social que ha colonizado. Crea ámbitos de acción que son autónomos del Estado y nuevos arreglos institucionales con ese propósito (como las conocidas juntas de buen gobierno en los territorios zapatistas). La autonomía pretende el establecimiento de nuevas bases para la vida social.
Para compartir el comienzo del Data Week.
Como la tecnología nos cambia, cambiamos la forma de cambiarnos.
But ultimately you have to stop being meta. As Jeff Kaufman — a developer in Cambridge who's famous among effective altruists for, along with his wife Julia Wise, donating half their household's income to effective charities — argued in a talk about why global poverty should be a major focus, if you take meta-charity too far, you get a movement that's really good at expanding itself but not necessarily good at actually helping people.
"Stop being meta" could be applied in some sense to meta systems like Smalltalk and Lisp, because their tendency to develop meta tools used mostly by developers, instead of "tools" used by by mostly everyone else. Burring the distinction between "everyone else" and developers in their ability to build/use meta tools, means to deliver tools and practices that can be a bridge with meta-tools. This is something we're trying to do with Grafoscopio and the Data Week.
Research: Student data are used to conduct empirical studies designed primarily to advance knowledge in the field, though with the potential to influence institutional practices and interventions. Application: Student data are used to inform changes in institutional practices, programs, or policies, in order to improve student learning and support. Representation: Student data are used to report on the educational experiences and achievements of students to internal and external audiences, in ways that are more extensive and nuanced than the traditional transcript.
Ha! The Chronicle’s summary framed these categories somewhat differently. Interesting. To me, the “application” part is really about student retention. But maybe that’s a bit of a cynical reading, based on an over-emphasis in the Learning Analytics sphere towards teleological, linear, and insular models of learning. Then, the “representation” part sounds closer to UDL than to learner-driven microcredentials. Both approaches are really interesting and chances are that the report brings them together. Finally, the Chronicle made it sound as though the research implied here were less directed. The mention that it has “the potential to influence institutional practices and interventions” may be strategic, as applied research meant to influence “decision-makers” is more likely to sway them than the type of exploratory research we so badly need.
Annotation can help us weave that web of linked data.
This pithy statement brings together all sorts of previous annotations. Would be neat to map them.