Una rilettura in chiave kantiana del desiderio sessuale e della conseguente trasformazione in oggetto della persona desiderata, cosa eticamente non bella. Le conseguenze sono surreali. Abbiamo sbagliato tutti tutto?
Money quote: “Is it possible to have sex without objectification? Of course. Prostitutes do it all the time. So do many long-term couples. They have sex with people whom they do not desire. And with no desire, there is no objectification. Not even love can fix it. When the desire is high, when the sexual act is in full swing, my beloved is a piece of flesh. (Though love does lead to occasional cuddling, which is nice.)”
https://aeon.co/ideas/why-sexual-desire-is-objectifying-and-hence-morally-wrong
Money quote: “Is it possible to have sex without objectification? Of course. Prostitutes do it all the time. So do many long-term couples. They have sex with people whom they do not desire. And with no desire, there is no objectification. Not even love can fix it. When the desire is high, when the sexual act is in full swing, my beloved is a piece of flesh. (Though love does lead to occasional cuddling, which is nice.)”
https://aeon.co/ideas/why-sexual-desire-is-objectifying-and-hence-morally-wrong
Aeon
Why sexual desire is objectifying – and hence morally wrong
In the heat of the moment, lust turns the lover’s body into a piece of flesh. But is such objectification morally wrong?
In ode of GoLang. Un po’ tecnico ma interessante e approciabile.
Money quote: “What are Threads?
A thread is just a sequence of instructions that can be executed independently by a processor. Threads are lighter than the process and so you can spawn a lot of them.“
https://codeburst.io/why-goroutines-are-not-lightweight-threads-7c460c1f155f
Money quote: “What are Threads?
A thread is just a sequence of instructions that can be executed independently by a processor. Threads are lighter than the process and so you can spawn a lot of them.“
https://codeburst.io/why-goroutines-are-not-lightweight-threads-7c460c1f155f
Specializzato come la macchina per fare i toast o generalista come i droidi di Guerre Stellari? La risposta è la prima e, quando lo avrete capito bene, il passaggio successivo diventa come trasformare un insieme di tostapane in un sistema complesso e con un dominio di intelligenza più ampio.
Money quote: “Developers who train machine-learning algorithms have found that it often makes sense to build toasters rather than wonder-boxes. That might seem counterintuitive, because the AIs of Western science fiction tend to resemble C-3PO in Star Wars or WALL-E in the eponymous film – examples of artificial general intelligence (AGI), automata that can interact with the world like a human, and handle many different tasks. But many companies are invisibly – and successfully – using machine learning to achieve much more limited goals. One algorithm might be a chatbot handling a limited range of basic customer questions about their phone bill. Another might make predictions about what a customer is calling to discuss, displaying these predictions for the human representative who answers the phone. These are examples of artificial narrow intelligence (ANI) – restricted to very narrow functions. On the other hand, Facebook recently retired its ‘M’ chatbot, which never succeeded in its goal of handling hotel reservations, booking theatre “
https://aeon.co/ideas/the-ai-revolution-will-be-led-by-toasters-not-droids
Money quote: “Developers who train machine-learning algorithms have found that it often makes sense to build toasters rather than wonder-boxes. That might seem counterintuitive, because the AIs of Western science fiction tend to resemble C-3PO in Star Wars or WALL-E in the eponymous film – examples of artificial general intelligence (AGI), automata that can interact with the world like a human, and handle many different tasks. But many companies are invisibly – and successfully – using machine learning to achieve much more limited goals. One algorithm might be a chatbot handling a limited range of basic customer questions about their phone bill. Another might make predictions about what a customer is calling to discuss, displaying these predictions for the human representative who answers the phone. These are examples of artificial narrow intelligence (ANI) – restricted to very narrow functions. On the other hand, Facebook recently retired its ‘M’ chatbot, which never succeeded in its goal of handling hotel reservations, booking theatre “
https://aeon.co/ideas/the-ai-revolution-will-be-led-by-toasters-not-droids
Aeon
The AI revolution will be led by toasters, not droids
When you think of AI, do you picture a multi-skilled C-3PO droid? A cupboard of appliances might be nearer the mark
Le intelligenze artificiali sono diventate uno dei grandi temi popolari del nostro momento storico. Con una connotazione spesso negativa comunque quasi messianica. Con la AI ci fai tutto: se non oggi, almeno domani.
In questo articolo il concetto viene portato avanti un altro po’ e si dice - senza neanche troppo imbarazzo - che la AI potrebbe essere la fine della teoria, perché ci penseranno loro a formulare teorie partendo dai set di dati.
Non è vero, però è subdolo.
Money quote: “We can now assume that given the right datasets, modern AI classifiers can generate high-performing and predictive models without any dependency on the underlying principles that govern a problem.”
https://worldpositive.com/the-new-intelligence-e3e1ff697f11
In questo articolo il concetto viene portato avanti un altro po’ e si dice - senza neanche troppo imbarazzo - che la AI potrebbe essere la fine della teoria, perché ci penseranno loro a formulare teorie partendo dai set di dati.
Non è vero, però è subdolo.
Money quote: “We can now assume that given the right datasets, modern AI classifiers can generate high-performing and predictive models without any dependency on the underlying principles that govern a problem.”
https://worldpositive.com/the-new-intelligence-e3e1ff697f11
Medium
The New Intelligence
Modern AI and the fundamental undoing of the scientific method
Ecco a voi (forse) gli iPhone di settembre. Almeno, i loro codici.
Money quote: “Spotted by Consomac, Apple has chosen to publicly file identifiers for all its new iPhones in the Eurasian database, and it confirms three distinct designs will be coming to market.”
https://www.forbes.com/sites/gordonkelly/2018/07/19/apple-iphone-x2-x-plus-se2-cheap-iphone-upgrade-specs-display-release-date-ios12/#32e6377a4d98
Money quote: “Spotted by Consomac, Apple has chosen to publicly file identifiers for all its new iPhones in the Eurasian database, and it confirms three distinct designs will be coming to market.”
https://www.forbes.com/sites/gordonkelly/2018/07/19/apple-iphone-x2-x-plus-se2-cheap-iphone-upgrade-specs-display-release-date-ios12/#32e6377a4d98
Scrivere è solo il principio. Poi viene l'editing. E questa è veramente la parte più difficile. Perché ci si arena, non si va avanti, e si blocca tutto. A parte Raymond Carver, praticamente tutti i migliori scrittorio sono soprattutto dei fantastici editor di se stessi.
Money quote: "This article focuses on editing nonfiction, but I follow a similar process for editing both my fiction and nonfiction writing. You can adapt this advice according to your own writing projects. Read on for my editing tips."
https://writingcooperative.com/how-to-effectively-edit-your-writing-in-7-easy-steps-d24c9468bb57
Money quote: "This article focuses on editing nonfiction, but I follow a similar process for editing both my fiction and nonfiction writing. You can adapt this advice according to your own writing projects. Read on for my editing tips."
https://writingcooperative.com/how-to-effectively-edit-your-writing-in-7-easy-steps-d24c9468bb57
The Writing Cooperative
How to Effectively Edit Your Writing in 7 Easy Steps
A step by step guide to polishing your work
C’è stato un momento unico e irripetibile nella storia. Quel momento non tornerà più, però sappiate che un tempo i giornali non avevano paura della matematica. E neanche della fisica...
Non so se farà strada, ma l'idea dietro AsteroidOS è interessante: sistema operativo open source per orologi smart. In pratica, permette di sostituire il sistema operativo di molti watch Android e Android Wear. Interessante.
Money quote: "We believe that when it comes to wearable devices, users should have full control over their machines and data. AsteroidOS has been created from the ground-up with modularity and freedom in mind. For this reason, it is a free and open-source project."
https://asteroidos.org
Money quote: "We believe that when it comes to wearable devices, users should have full control over their machines and data. AsteroidOS has been created from the ground-up with modularity and freedom in mind. For this reason, it is a free and open-source project."
https://asteroidos.org
asteroidos.org
Free your wrist - AsteroidOS
AsteroidOS is an open-source operating system for smartwatches.
Un indicatore pressoché perfetto della rapidità con cui i sistemi di intelligenza artificiale stanno crescendo è il consumo delle risorse di calcolo (usate per addestrare gli algoritmi, ad esempio). Studio molto interessante.
Money quote: "We’re releasing an analysis showing that since 2012, the amount of compute used in the largest AI training runs has been increasing exponentially with a 3.5 month-doubling time (by comparison, Moore’s Law had an 18-month doubling period). Since 2012, this metric has grown by more than 300,000x (an 18-month doubling period would yield only a 12x increase). Improvements in compute have been a key component of AI progress, so as long as this trend continues, it’s worth preparing for the implications of systems far outside today’s capabilities."
https://blog.openai.com/ai-and-compute/
Money quote: "We’re releasing an analysis showing that since 2012, the amount of compute used in the largest AI training runs has been increasing exponentially with a 3.5 month-doubling time (by comparison, Moore’s Law had an 18-month doubling period). Since 2012, this metric has grown by more than 300,000x (an 18-month doubling period would yield only a 12x increase). Improvements in compute have been a key component of AI progress, so as long as this trend continues, it’s worth preparing for the implications of systems far outside today’s capabilities."
https://blog.openai.com/ai-and-compute/
OpenAI
AI and Compute
We’re releasing an analysis showing that since 2012, the amount of compute used in the largest AI training runs has been increasing exponentially with a 3.4-month doubling time (by comparison, Moore’s Law had a 2-year doubling period).
La categoria-ombrello dell'intelligenza artificiale contiene tante cose diverse. In questo caso, il machine learning e le reti neurali. Una spiegazione ragionata ed esaustiva su come si proceda ad analizzare e risolvere una classe di problemi, in questo caso la classificazione di testi non strutturati (tweet, post su Facebook, email e altro) utili per delle cause legali.
Money quote: "Our goal was to address these two problems: a) deal with NLP problems where we don’t have masses of data and computational resources, and b) make NLP classification easier. As it turned out, we (Jeremy and Sebastian) had both been working on the exact field that would solve this: transfer learning. Transfer learning refers to the use of a model that has been trained to solve one problem (such as classifying images from Imagenet) as the basis to solve some other somewhat similar problem. One common way to do this is by fine-tuning the original model (such as classifying CT scans into cancerous or not—an application of transfer learning that Jeremy developed when he founded Enlitic). Because the fine-tuned model doesn’t have to learn from scratch, it can generally reach higher accuracy with much less data and computation time than models that don’t use transfer learning.
Very simple transfer learning using just a single layer of weights (known as embeddings) has been extremely popular for some years, such as the word2vec embeddings from Google. However, full neural networks in practice contain many layers, so only using transfer learning for a single layer was clearly just scratching the surface of what’s possible."
http://nlp.fast.ai/classification/2018/05/15/introducting-ulmfit.html
Money quote: "Our goal was to address these two problems: a) deal with NLP problems where we don’t have masses of data and computational resources, and b) make NLP classification easier. As it turned out, we (Jeremy and Sebastian) had both been working on the exact field that would solve this: transfer learning. Transfer learning refers to the use of a model that has been trained to solve one problem (such as classifying images from Imagenet) as the basis to solve some other somewhat similar problem. One common way to do this is by fine-tuning the original model (such as classifying CT scans into cancerous or not—an application of transfer learning that Jeremy developed when he founded Enlitic). Because the fine-tuned model doesn’t have to learn from scratch, it can generally reach higher accuracy with much less data and computation time than models that don’t use transfer learning.
Very simple transfer learning using just a single layer of weights (known as embeddings) has been extremely popular for some years, such as the word2vec embeddings from Google. However, full neural networks in practice contain many layers, so only using transfer learning for a single layer was clearly just scratching the surface of what’s possible."
http://nlp.fast.ai/classification/2018/05/15/introducting-ulmfit.html
A New York ci sono le aste all’incanto di licenze per taxi andati in fallimento causa Uber.
Money quote: “A record 139 taxi medallions will be offered for sale in bankruptcy auction this month — the latest sign that a deluge of ride-sharing apps like Uber are squeezing cabbies out of business and deeper into debt, as well as pinching the incomes of for-hire drivers, according to analysts.
The medallions will be auctioned for a fraction of their original value — some likely having cost their owners as much as $1 million or more apiece”
https://nypost.com/2018/06/09/139-taxi-medallions-will-be-offered-at-bankruptcy-auction/
Money quote: “A record 139 taxi medallions will be offered for sale in bankruptcy auction this month — the latest sign that a deluge of ride-sharing apps like Uber are squeezing cabbies out of business and deeper into debt, as well as pinching the incomes of for-hire drivers, according to analysts.
The medallions will be auctioned for a fraction of their original value — some likely having cost their owners as much as $1 million or more apiece”
https://nypost.com/2018/06/09/139-taxi-medallions-will-be-offered-at-bankruptcy-auction/
New York Post
139 taxi medallions will be offered at bankruptcy auction
New York City’s struggling yellow cabbies are facing the auction block. A record 139 taxi medallions will be offered for sale in bankruptcy auction this month — the latest sign that a deluge of
Un paio di cose da sapere sul ritmo circadiano. Non solo per chi viaggia nei fusi orari, ma per chi sta dentro un tempo sfalsato.
Money quote: “People who are used to having an evening coffee and then have a lot of bright light in the evening and more likely to sleep very late. And since they do it on a daily basis, they think it’s natural to them.
In the book, I talk about the example of my dear friend who is also a circadian biologist. He took his lab on a camping trip. Almost everybody in the lab thought they were night owls because they all go to bed after midnight. But when he took them camping and they had very little access to bright light, all of them became early birds. They went to bed three to four hours earlier and woke up very fresh, early in the morning. So some of the variance is definitely due to external habits.”
https://www.theverge.com/2018/6/12/17453398/sleep-circadian-code-satchin-panda-clock-health-science
Money quote: “People who are used to having an evening coffee and then have a lot of bright light in the evening and more likely to sleep very late. And since they do it on a daily basis, they think it’s natural to them.
In the book, I talk about the example of my dear friend who is also a circadian biologist. He took his lab on a camping trip. Almost everybody in the lab thought they were night owls because they all go to bed after midnight. But when he took them camping and they had very little access to bright light, all of them became early birds. They went to bed three to four hours earlier and woke up very fresh, early in the morning. So some of the variance is definitely due to external habits.”
https://www.theverge.com/2018/6/12/17453398/sleep-circadian-code-satchin-panda-clock-health-science
The Verge
How our body’s circadian clocks affect our health beyond sleep
Lighting is important
Salgari: il ritorno a fumetti è di lusso - il mio articolo per Fumettologica
http://www.fumettologica.it/2018/07/sandokan-fumetti-star-comics/
http://www.fumettologica.it/2018/07/sandokan-fumetti-star-comics/
Fumettologica
Salgari: il ritorno a fumetti è di lusso - Fumettologica
Una panoramica sulla nuova iniziativa editoriale di Star Comics, che propone in maniera coraggiosa le storie di Sandokan a fumetti.
Effetto nostalgia: Apple non cambierà il primo Store inaugurato da Steve Jobs - il mio articolo per La Stampa
http://www.lastampa.it/2018/07/23/tecnologia/effetto-nostalgia-apple-non-cambier-il-primo-store-inaugurato-da-steve-jobs-BzoAY5Qb6JwPHcmfltTbjP/pagina.html
http://www.lastampa.it/2018/07/23/tecnologia/effetto-nostalgia-apple-non-cambier-il-primo-store-inaugurato-da-steve-jobs-BzoAY5Qb6JwPHcmfltTbjP/pagina.html
LaStampa.it
Effetto nostalgia: Apple non cambierà il primo Store inaugurato da Steve Jobs
Preservato come monumento al fondatore di Apple, che proprio a Tysons Corner ha inaugurato 17 anni fa la strategia vincente dei negozi della Mela
Il sonno è una strana bestia. Perché ce n’è sempre troppo poco, soprattutto nel nostro mondo super stimolato e illuminato artificialmente. E la nostra percezione, in una economia del tempo libero (cioè fuori dall’orario di lavoro, quando diventiamo tutti consumatori e quindi è meglio se siamo svegli e spendiamo o guardiamo ma pubblicità) è enormemente falsata.
Money quote: “One 2014 study of more than 3,000 people in Finland found that the amount of sleep that correlated with the fewest sick days was 7.63 hours a night for women and 7.76 hours for men. So either that is the amount of sleep that keeps people well, or that’s the amount that makes them least likely to lie about being sick when they want to skip work. Or maybe people who were already sick with some chronic condition were sleeping more than that—or less—as a result of their illness. Statistics are tough to interpret. Isolated studies are tougher. “
https://www.theatlantic.com/magazine/archive/2017/01/how-to-sleep/508781/
Money quote: “One 2014 study of more than 3,000 people in Finland found that the amount of sleep that correlated with the fewest sick days was 7.63 hours a night for women and 7.76 hours for men. So either that is the amount of sleep that keeps people well, or that’s the amount that makes them least likely to lie about being sick when they want to skip work. Or maybe people who were already sick with some chronic condition were sleeping more than that—or less—as a result of their illness. Statistics are tough to interpret. Isolated studies are tougher. “
https://www.theatlantic.com/magazine/archive/2017/01/how-to-sleep/508781/
The Atlantic
How to Sleep
Should you drink more coffee? Should you take melatonin? Can you train yourself to need less sleep? A physician’s guide to sleep in a stressful age.
Questo articolo è tornato a galla dopo un annetto o poco più che lo avevo citato. Lo riprendo per una seconda volta con piacere, perché il tema è forte: non tutti i big data sono tali. In particolare, qui si argomenta - con un interessante esperimento - l'idea che in molti casi si possa fare più e meglio con la riga di comando (perché la pipe parallelizza i calcoli su tutti i core) su un semplice laptop che non con i giganti del cloud con le soluzioni pensate per i big data. È anche una bella lezione su come ottimizzare una sequenza di comandi.
Money quote: "One especially under-used approach for data processing is using standard shell tools and commands. The benefits of this approach can be massive, since creating a data pipeline out of shell commands means that all the processing steps can be done in parallel. This is basically like having your own Storm cluster on your local machine. Even the concepts of Spouts, Bolts, and Sinks transfer to shell pipes and the commands between them. You can pretty easily construct a stream processing pipeline with basic commands that will have extremely good performance compared to many modern Big Data ™ tools."
https://adamdrake.com/command-line-tools-can-be-235x-faster-than-your-hadoop-cluster.html
Money quote: "One especially under-used approach for data processing is using standard shell tools and commands. The benefits of this approach can be massive, since creating a data pipeline out of shell commands means that all the processing steps can be done in parallel. This is basically like having your own Storm cluster on your local machine. Even the concepts of Spouts, Bolts, and Sinks transfer to shell pipes and the commands between them. You can pretty easily construct a stream processing pipeline with basic commands that will have extremely good performance compared to many modern Big Data ™ tools."
https://adamdrake.com/command-line-tools-can-be-235x-faster-than-your-hadoop-cluster.html
Il futuro di Google non è più solo pubblicità. Le novità su cloud e Ai -il mio articolo per Il Sole 24 Ore
http://mobile.ilsole24ore.com/solemobile/main/art/tecnologie/2018-07-25/il-futuro-google-non-e-piu-solo-pubblicita-novita-cloud-e--083045.shtml?uuid=AEIY7uRF
http://mobile.ilsole24ore.com/solemobile/main/art/tecnologie/2018-07-25/il-futuro-google-non-e-piu-solo-pubblicita-novita-cloud-e--083045.shtml?uuid=AEIY7uRF
Il Sole 24 ORE
Il futuro di Google non è più solo pubblicità. Le novità su cloud e Ai
Il futuro di Google potrebbe non essere (solo) la pubblicità. Grazie al cloud e all'intelligenza artificiale, si apre una strada inedita per la casa di Mountain View.
Da anni, parlando con scienziati e ricercatori di tutto il mondo, tutti quanti sostengono che il principale problema delle energie rinnovabili che generano corrente elettrica è la conservazione: le batterie sono un problema enorme, mentre petrolio, carbone e legna sono forme naturali di accumulazione di energia. Beh, salta fuori che si può ricorrere anche a un altro sistema: l'aria compressa. Ed è un'idea molto, molto interessante.
Money quote: "Compressed air energy storage (CAES) is considered to be an important component of a renewable power grid, because it could store surplus power from wind turbines and solar panels on a large scale. However, in its present form, the technology suffers from large energy losses and depends on natural gas to operate."
http://www.lowtechmagazine.com/2018/05/ditch-the-batteries-off-the-grid-compressed-air-energy-storage.html
Money quote: "Compressed air energy storage (CAES) is considered to be an important component of a renewable power grid, because it could store surplus power from wind turbines and solar panels on a large scale. However, in its present form, the technology suffers from large energy losses and depends on natural gas to operate."
http://www.lowtechmagazine.com/2018/05/ditch-the-batteries-off-the-grid-compressed-air-energy-storage.html
LOW-TECH MAGAZINE
Ditch the Batteries: Off-Grid Compressed Air Energy Storage
Going off-grid? Think twice before you invest in a battery system. Compressed air energy storage is the sustainable and resilient alternative to batteries, with much longer life expectancy, lower life cycle costs, technical simplicity, and low maintenance.…
Marchionne-Jobs: gemelli diversi dell'innovazione industriale - il mio articolo di un sacco di anni fa Macity
https://www.macitynet.it/marchionne-jobs_gemelli_diversi_dellinnovazione_industriale_/
https://www.macitynet.it/marchionne-jobs_gemelli_diversi_dellinnovazione_industriale_/
Macitynet.it
Marchionne-Jobs: gemelli diversi dell'innovazione industriale - Macitynet.it
Fiat per tramite di Chrysler si fa scoprire in America e rilancia con innovazione e creatività. Stile, voglia di competere nei mercato con qualità e idee che rompano gli schemi: la Fiat dell'AD Sergio Marchionne sta trasformando il gruppo torinese in una…
Makers all'opera: come rifare da zero il gatto della fortuna, quello che manda avanti e indietro la zampina. Per riuscirci, va prima smontato e guardato molto bene.
Money quote: "“What I can not create with an Arduino, I do not understand”, so we then proceed to recreate a lucky cat under Arduino digital control."
https://wp.josh.com/2018/05/07/deconstructing-kitty/
Money quote: "“What I can not create with an Arduino, I do not understand”, so we then proceed to recreate a lucky cat under Arduino digital control."
https://wp.josh.com/2018/05/07/deconstructing-kitty/
josh.com
Deconstructing Kitty
“Google called, and josh.com needs more cats.” So today we look inside these amazing cats that can somehow keep on wavin’ using less than 15 microwatts (!) of power. If you are in…