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Google is introducing new extreme heat alerts in Search that are designed to surface information to help people stay safe during heat waves. The new heat alerts will roll out in the coming months.
When people search for information on extreme heat, they will now see information about when a heat wave is expected to begin and end. The alert will also surface tips on staying cool and warn users about related health concerns they should be aware of. All of this information will be prominently displayed in Search results. The search giant said it has partnered with the Global Heat Health Information Network to ensure that the information it surfaces in the alerts is accurate.
“We’ll be launching a new feature to raise awareness about extreme heat to keep people safe, cool and healthy,” said Hema Budaraju, Google’s senior director of product for health and search, during a briefing with reporters. “Soon, you will see dedicated features highlighting relevant news, recommended actions and local information during a severe heat wave. The new heat alert is one of the many ways we’re continuing to update search to help people find timely, authoritative and actionable information when they need it the most.”
Google has been displaying alerts for things like wildfires, earthquakes, hurricanes and more for several years. The company notes that the introduction of the heat alerts feature comes as search interest in heat waves reached a record high globally in June 2022.
Image Credits: Google
The company also said Tree Canopy, a tool that combines AI and aerial imagery so cities can understand their current tree coverage and better plan urban forestry initiatives, has expanded from 14 cities to nearly 350 cities globally — including Atlanta, Baltimore, Buenos Aires, Lisbon, Mexico City, Paris, Sydney and Toronto. Google plans to expand the tool to thousands of additional cities this year.
Today’s announcement comes a day after Google said it was introducing new ways for users to verify information on Search. The search giant is launching new features called “Perspectives” and “About this author,” while also expanding some of its current tools, including “About this result.”
Two weeks ago, Google said it was making it easier for people to find affordable healthcare centers near them in Search. If a medical clinic offers affordable care, you will soon see a label that reads “Free or low-cost care” under its name in search results.
Google to roll out new extreme heat alerts in Search soon by Aisha Malik originally published on TechCrunch
Depeche Mode were on The Late Show with Stephen Colbert to promote their forthcoming record, Momento Mori. They performed "Ghosts Again" from the new record and a classic, "Personal Jesus," from 1990's Violator.
Momento Mori will be out on March 24. — Read the rest
I wrote the first sentences that appear in Wolfish almost ten years ago, during the summer of 2013. I was about to be a senior in college, and I was doing my best to blink away the pending maw of where-to-go, of what-comes-next.
I had left my family in Oregon to attend a college in Maine. It was there that I learned who Joan Didion was, and about how it had taken her living in New York City to turn her gaze back home. “I sat on one of my apartment’s two chairs . . . and wrote myself a California river,” Didion later said about Run River. Her words seemed like a decent writing prompt: to write about the place I had left, a place I was not sure I would ever live again. I remember sitting beneath the peeling wallpaper of my summer sublet, listening to the rumble of the tenant below, a man who, we later learned, was breeding pythons. Oregon, I wrote at the top of a new document. A place, like so many others, where white settlers had killed all the wolves. A place, as I was researching for my Environmental Studies thesis, where wolves were coming back.
“Visit someplace you have ‘roots’ and it is easy to encounter the landscape as a strata of story,” I write in Wolfish. Beneath the crust of one’s lived, sensory experience sits the fossilized lore of family arrival. The thickest part, that bedrock of environmental and social history, underlies everything but is too rarely glimpsed. The best writers on this subject dirty their fingernails as they move between the layers. I am interested in place because I am provoked by the experience of being a body in the current of time. What does it mean to be me, here, now? One node in an ecosystem of not only species but stories, mythologies of belonging and fear and love. My favorite writing about place moves kaleidoscopically between art and science, past and present, humans and non-humans, internal and external lives. The author’s relationship with place is not always the explicit subject of the following books—nor is it in Wolfish—but it’s a thread that runs through the pages. A stitch that sews both self and world into being.
***
Wave, Sonali Deraniyagala
Deraniyagala’s memoir is one of the most haunting books I’ve ever read, about the author’s unfathomable grief of surviving Sri Lanka’s 2004 tsunami while losing her husband, children and parents. I’ve returned again and again to the book for how lyrically Deraniyagala writes emotion into landscape, calling attention to the ways we project ourselves into the natural world, and vice versa. “I spurn its paltry picture-postcardness,” she writes at one point about Sri Lanka, where she was born. “Those beaches and bays are too pretty and tame to stand up to my pain, to hold it, even a little.” How to write about an ocean full of beauty, which has taken so much beauty from you? It is both “our killer” and a place of sunset calm, a sea coated in “crushed crimson glass.”
The Second Body, by Daisy Hildyard
In this book-length essay, Hildyard posits that we have two bodies: one contained by skin, the other the sprawl of one’s biological life as it overlaps with other species. “Your body is not inviolable,” she writes. “Your body is infecting the world—you leak.” She strives to understand this ‘second body’ by probing how humans define and interact with animal life, interviewing both a Yorkshire butcher and a criminologist who speaks to silver foxes kept as pets. This book put language to feelings I’d sensed but never been able to articulate, redefining the ways I think about intersections of human and non-human lives.
Small Bodies of Water, by Nina Mingya Powles
Powles’ mother was born in Borneo, where the author learned to swim, but Powles herself was born in New Zealand, and grew up partially in China, then moved to London. Moving between modes of memoir, art criticism, and nature writing, Small Bodies of Water is like swimming through a dream populated with the crystalline detail of both “the Atlas moth with white eyes on its wings” and a viral Twitter clip of “flame being whipped into spirals by the wind.” She writes beautifully about migration and belonging and girlhood, and as a writer, I felt particularly attuned to how carefully she pins her world to the page: “Our language for colours shifts according to our own experiences and memories: the blue of a giant Borneo butterfly’s wings pinned in a glass case; the yellow at the centre of a custard tart.”
Cold Pastoral, by Rebecca Dunham
Weaving elegy, lyric, documentary, and investigation, this poetry collection holds at its center the Deepwater Horizon oil spill, confronting the question of how to witness a world that is both natural and unnatural, simultaneously mangled and tended by our touch. After the explosion, workers jump off the rig into a “sea stirred to wildfire,” while miles away, in her own yard, “lilies / startle [the] garden pink / and gold.”
Bright Unbearable Reality, by Anna Badkhen
I bought this book on the perfection of its cover alone, then swiftly fell for the roaming logic of Badkhen’s essays, which unspool themes of communion and human migration, often while the author herself is on the road, in Ethiopia or Oklahoma or Chihuahua City. “The travel I witness often happens under duress,” she writes. “I have spent my life documenting the world’s iniquities, and my own panopticon of brokenness comprises genocide and mass starvation, loved ones I have lost to war, friends’ children who died of preventable diseases.” So much heartache in these pages, but I was persistently buoyed by the tenderness she brings to the world and its inhabitants. Even a pronghorn on the horizon, Badkhen tells us, is related to a giraffe.
In the Heart of the Heart of Another Country, by Etel Adnan
Made up of lyrical vignettes, this genre-crossing memoir is testament to Adnan’s transcultural and nomadic self, as the text moves between Lebanon, France, Greece, Syria, and the U.S. Her translingual research and progressive activism underlie her observations about self and world. “I reside in cafes: they are my real homes,” she writes. “In Beirut my favorite one has been destroyed. In Paris, Café de Flore is regularly invaded by tourists.” I’m perhaps most compelled by how she writes about rootlessness: “feeling at ease, or rather identifying with drafts of air, dispersing dry leaves and balloons, taking taxis just because they were staring at me.”
Groundglass: An Essay, by Kathryn Savage
Full disclosure: because I overlapped with Savage in my MFA program, I’ve been admiring this hybrid project and her lyrical research process for years, but this book would have jumped off the shelf at me regardless. “Could there be something humbling and revolutionary in understanding myself as a site of contamination?” writes Savage. It’s a book about illness and grief and motherhood and U.S. Superfund sites (they appear like “confetti flecks” on the map), but also, implicitly, about the act of trying to understand pollution while, “Upstairs, Henry laughs, playing video games.” The book made me think not only of the porousness between earth and self, but between elegy and ode.
White Magic, by Elissa Washuta
“When I felt myself shredded, I used to wade into Lake Washington…The land put me back together,” writes Washuta, a member of the Cowlitz Indian Tribe indigenous to the region. She now lives in Ohio, where “the land and I talk like strangers,” and tensions around place animate this hypnotic memoir. “I love living in Ohio, I love my forever house, but my missing of Seattle feels almost violent inside of me sometimes, and that is probably the real heartbreak the book is about,” Washuta said in an interview. Moving from the colonial history of Columbia River land treaties to Twin Peaks and the Oregon Trail II video game, Washuta makes visible that which is too often unseen: the modes by which place is created, inherited, metabolized.
River, by Esther Kinsky
Translated from German by Iain Galbraith, Kinsky’s novel constellates the life of a woman who, for unknown reasons, moves outside London near the River Lea (“small…populated by swans”), reminiscing about other rivers from her past while she goes for long solitary walks. The novel moves essayistically, which is to say, like a river, “constantly brushing with the city and with the tales told along its banks,” ebbing with ecological observation and memory.
Borealis, by Aisha Sabatini Sloan
An expansive collage encompassing soundtracks, flashbacks to past lovers, conceptual art, and snippets from nature documentaries and overheard dialogues, Borealis is a constellation of observations about queer relationships, blackness, and Sabatini Sloan’s life in a small Alaskan town. The animating pulse of the book could be the quote Sabatini Sloan includes by Renee Gladman: “You had to think about where you were in a defined space and what your purpose was for being there.”
Of course, you’ll also want to scoop up a copy of Erica Berry’s Wolfish—preorders are like gifts to your future self <3
— The Eds.
“This is one of those stories that begins with a female body. Hers was crumpled, roadside, in the ash-colored slush between asphalt and snowbank.”
So begins Erica Berry’s kaleidoscopic exploration of wolves, both real and symbolic. At the center of this lyrical inquiry is the legendary OR-7, who roams away from his familial pack in northeastern Oregon. While charting OR-7’s record-breaking journey out of the Wallowa Mountains, Erica simultaneously details her own coming-of-age as she moves away from home and wrestles with inherited beliefs about fear, danger, femininity, and the body.
As Erica chronicles her own migration—from crying wolf as a child on her grandfather’s sheep farm to accidentally eating mandrake in Sicily—she searches for new expressions for how to be a brave woman, human, and animal in our warming world. What do stories so long told about wolves tell us about our relationship to fear? How can our society peel back the layers of what scares us? By strategically unspooling the strands of our cultural constructions of predator and prey, and what it means to navigate a world in which we can be both, Erica bridges the gap between human fear and grief through the lens of a wrongfully misunderstood species.
***
Article tags
As I outlined recently in my “e-Literate’s Changing Themes for Changing Times” post, I am shifting my coverage somewhat. I’ll be developing and calling out tags I use for these themes so that you can go to an archive page on each one. This one will be listed under the “AI/ML” “third-wave EdTech,” and “future of work” tags.
I’ve been fascinated by the rapid progression of ChatGPT article fads:
Waitaminute. Let’s back up.
Students finding easy ways to cheat is not exactly a new thing. Remember, “to Chegg” is a verb now. Let’s back up to fad #3. Writers are asking ChatGPT to write their articles, publishing those articles, and then advertising that the articles published under their by-line were written in 30 seconds by a machine.
Do they want to get replaced by an algorithm?
It seems to me we’re thinking about the problem that these algorithms present in the wrong way.
Language-generating algorithms ChatGPT and their image-generating cousins are toys in both good and bad ways. In a good way, they invite people to play. Anyone, whether or not they know anything about programming, can explore the possibilities and limitations of a certain kind of cutting-edge AI. It’s fun. And, like all good games, you learn by playing. You can learn what they can and can’t do well. How to write a good prompt. And so on. They make AI more accessible and, in a certain way, more understandable.
They’re toys in the bad sense because they weren’t designed for any particular purpose and tend to do weird things for any given task. For example, I tried to get DALL-E 2—ChatGPT’s image-generating sibling—to create a retro comic book cover depicting ChatGPT as a scary vampire. I tried half a dozen different prompts. The best result I got was with “An evil vampire on the cover of a retro comic book called ‘ChatGPT'”. Here’s the best image it came up with:
The algorithm does evil comic-book vampires pretty well. Spelling a word that was explicitly spelled for it in the prompt? Not so much.
Remember, a large language model algorithm like the one behind DALL-E 2 and ChatGPT don’t understand anything. It’s taking a bag of words and putting together pieces it found on the internet to construct something that seems like an appropriate response.
ChatGPT, for example, is notoriously bad at math. Because it doesn’t calculate. That’s not what it is designed to do. Its developers have been working on improving this limitation. So I asked it about how good at math it is:
Me: How good are you at math?
ChatGPT: I am able to perform basic arithmetic operations, such as addition, subtraction, multiplication and division. My training data includes mathematical concepts and I have been trained to recognize and respond to arithmetic questions. However, it is important to note that I may make mistakes in complex or unconventional mathematical computations.
Me What is 2794 + 83948?
ChatGPT: 87,742
That answer is incorrect.
So ChatGPT, the miracle of modern technology destined to destroy all education, is not as “smart” as a calculator. Note that you can ask Google or your Apple search prompt the same question and reliably get a correct answer. OpenAI (the makers of OpenAI) are likely trying to combine much simpler but mathematically reliable algorithms with the GPT-3 algorithm that underlies ChatGPT and DALL-E 2. The fact that they haven’t solved this problem yet suggests it is non-trivial. These different types of algorithms can be challenging to mesh. Many of the more impressive applications of artificial intelligence and machine learning are made possible by an ensemble of different algorithms working together, some of which fit together more naturally than others.
Don’t get me wrong; the math problem will be solved. The OpenAI engineers will crack it just as they are now pretty good at preventing ChatGPT from making stock predictions or answering questions about current events when its data set hasn’t been updated since 2021. But it’s a game of whack-a-mole. Because you can ask ChatGPT anything, people do ask it anything. The creators are learning a lot about the questions people ask and what can go wrong with the answers. This new knowledge will help them design more specific solutions. But a general-purpose prompt tool like ChatGPT will be hard to make good at solving any one particular problem.
I’m not convinced that ChatGPT, as it exists today, represents a big leap forward in essay cheating. It has length limitations, has to be fact-checked, can’t produce references, and spits out highly variable quality of reasoning and argumentation. Students would learn more by trying to fix the problems with a ChatGPT-generated draft than they would by going to a traditional essay mill.
Short answer questions are a different matter. ChatGPT is already dangerous in this area. But again, students can already “Chegg” those.
Could somebody write a better program specifically for writing school essays? Or magazine articles? Yes. That work is already underway.
So what do we do about the essay cheating problem? Let’s start with the two most common answers. We can develop algorithms that detect prose that was written by other algorithms. That too is already underway. So we’ll have yet another flavor of the cheating/anti-cheating arms race that benefits nobody except the arms dealers. The anti-cheating tools may be necessary as one element of a holistic strategy, but they are not the ultimate answer.
Second, we can develop essay-writing prompts and processes that are hard for the algorithms to respond to. This would be useful, partly because it would be good for educators to rethink their stale old assignments and teaching practices anyway. But it’s a lot of often uncompensated work for which the educators have not been trained. And it ends up being another arms race because the algorithms will keep changing.
We miss the point if we respond to language-generating AI as a static threat that might become more sophisticated over time but won’t fundamentally change. ChatGPT is just a friendly way for us to develop intuitions about how one family of these algorithms works at the moment. You’re wrong if you think it is a one-time shock to the system. We’re just at the beginning. The pace of AI progress is accelerating. It is not just going to get incrementally better. It is going to radically change in capabilities at a rapid pace. It will continue to have limitations, but they will be different limitations.
So what do we do?
When adaptive learning hit peak hype, a glib response to teacher hysteria started making the rounds: “If you [teachers] can be replaced by a computer, then you probably should be.”
Doesn’t that apply…um…generally?
If all students learn is how to use ChatGPT to write their essays, why wouldn’t their hypothetical future employer use ChatGPT instead of hiring them? Why would students spend $30K, $40K, $50K, or more a year to practice demonstrating that a free-to-use piece of software does their best work for them? Students need to learn the work these tools can do so they can also understand the work the tools can’t do. Because that is the work the students could get paid for. Technology will make some jobs obsolete, leave others untouched, change some, and create new ones. These categories will continue to evolve for the foreseeable future.
At a time when students are more conscious than ever about the price-to-value of a college education, they ought to be open to the argument that they will only make a decent living at jobs they can do better than the machine. So they should learn those skills. Why learn to write better? So you can learn to think more creatively and communicate that creativity precisely. Those are skills where the primates still have the advantage.
Once we engage students openly and honestly on that point, we will start building a social contract that will discourage cheating and establish the foundational understanding we need for rethinking the curriculum—not just to keep from falling too far behind the tech but to help students get out in front of it. The current limitations of these AI toys demonstrate both the dangers and the potential. Suppose you want to apply the technology to any particular domain. In that case, whether it’s math, writing advertising copy, or something else, you need to understand how the software works and how the human expertise and social or business processes work. Whole echelons of new careers will be created to solve these problems. We will need thinkers who can communicate. Learning how to formulate one’s own thoughts in writing is an excellent way to learn both skills.
Fighting the tech won’t solve the problem or even prevent it from getting worse. Neither will ignoring it. We have to engage with it. And by “we,” I include the students. After all, it’s their futures at risk here.
(Disclaimer: This blog post was written by ChatGPT.)
(I’m kidding, of course.)
(I am able to perform basic humor operations, such as generating dirty limericks and “your momma is so ugly” jokes. My training data includes humorous concepts, and I have been trained to recognize and respond to knock-knock questions. However, it is important to note that I may make mistakes in complex or unconventional humor.)
The post ChatGPT Wrote This Article and then Totally Stole My Job! appeared first on e-Literate.
Enlarge / We don't have to rely on megacorp obelisks to operate the things we buy. We don't have to learn their language. We can break free. (credit: PonyWang/Getty Images)
For many people, an automated smart home is about little things that add up to big conveniences over time. Lights turning on when you pull into the driveway, a downstairs thermostat adjustable from your upstairs bedroom, a robot vacuum working while you're at the grocery store—you put in a bit of setup work and your life gets easier.
What most smart homes also include, however, is a voice assistant, the opposite of a quiet, unseen convenience. Alexa, Siri, Google Assistant: They demand that you learn specific device names and structures for commands, while they frequently get even the most simple command astoundingly wrong. And they are, of course, an always-listening corporate microphone you're allowing inside your home.
There are ways to keep that smart home convenience while cutting out the conversation. Some involve your phone, some dedicated devices, but none of them involve saying a device's name. Here's an overview of the best options available.
FreshRSS 