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Alexa and Her CounterpartsAlexa, Amazon’s intelligent assistant that listens to your voice commands to play music, order diapers and place a phone call, will be everywhere at CES.

Smart CitiesNowadays, it’s easy to shop for high-quality internet-connected home accessories, like light bulbs, thermostats and security cameras. At CES, Samsung is even planning to introduce a smart refrigerator at the electronics show that can listen to voice commands to control other home accessories.

Smarter CarsSelf-driving-car enthusiasts like Elon Musk, the chief executive of Tesla, dream of a future where driverless cars eliminate traffic accidents while letting people do work on their commutes.They can keep dreaming: Autonomous vehicles still have a long way to go before they become safe and properly regulated.

Next-Generation Wireless TechnologyAs a growing number of devices rely on artificial intelligence, they will require faster bandwidth speeds. At CES, wireless companies like AT&T and Verizon are expected to give progress reports on so-called 5G, the fifth-generation network technology.With 5G, wireless carriers envision an era of incredibly fast speeds that let smartphone users download a movie in less than five seconds — roughly 100 times faster than the current network technology, 4G. Even more important, 5G is expected to greatly reduce latency to let devices communicate with each other with extremely fast response times.

With digital tools and data science, demand for energy can now be sculpted locally to match available resources, reducing the number of power plants that utilities need to keep in reserve.

The key is giving consumers the ability to separate flexible energy uses—say, operating a Jacuzzi—from essential needs, which can now be done with phone apps for smart appliances and service panels.

Meanwhile, connections between groups of customers can be opened and closed as needed with modern, communicating circuit switchgear.

The good news is that record amounts of batteries are being installed in U.S. homes and on the electric grid, despite supply-chain bottlenecks.

The bad news is that current battery technology only offers a few hours of storage. What’s needed are more-powerful battery systems that can extend the length or scale of storing, which could be even more enabling to sun and wind power.

Two such solutions are on the horizon. Stationary metal-air batteries, such as iron-air batteries, don’t hold as much energy per kilogram as lithium-ion batteries so it takes a larger, heavier battery to do the job. But they are cheaper, iron is a plentiful metal, and the batteries, whose chemistry works via interaction of the metal with air, can be sized and installed to store and discharge a large level of electricity over days or weeks.

improved large iron-air batteries are poised to become a great new backup for renewable energy within the next couple of years to address those times of year when drops in renewable energy production can last for days and not hours.

For households, a battery configuration called a virtual power plant also holds huge potential to extend the use of renewables. These systems allow a local utility or electricity distributor to collect excess energy stored in multiple households’ battery systems and feed it back to the grid when there is a surge in demand or generation shortfall.

Electrification is a good choice for smaller vessels on short voyages, like the world’s largest all-electric ferry launched in Norway in 2021. It isn’t yet a viable option for ships on transoceanic voyages because batteries are still too large and heavy, though innovative approaches for battery swapping are being explored.

Greener Shipping

For longer voyages, e-ammonia, a hydrogen-derived fuel made with renewable energy, has been identified as a prime candidate, although work is needed to ensure safety. Ammonia has a higher energy density than some other options, making it a more economical option for powering large ships across oceans.

Among ammonia projects in the works, MAN Energy Solutions is developing engines that can run on conventional fossil fuel or ammonia, a coalition of Nordic partners is designing the world’s first ammonia-powered vessel, and Singapore is evaluating how to bunker the fuel.

Some EV makers such as Tesla are now embracing an older, less-expensive battery technology known as lithium-iron-phosphate, or LFP, used originally in scooters and small EVs in China

. It draws entirely on cheap and abundant minerals and is less flammable. The power density of LFP is less than NMC, but that disadvantage can be overcome by advances in vehicle design.

One approach being tested eliminates the outer packaging of the batteries altogether and directly installs cells, packed in layers, into a cavity in the EV’s body chassis.

Eventually, solid-state batteries—with a solid electrolyte made from common minerals like glass or ceramics—could become a key EV battery technology.

The solid electrolyte is more chemically stable, lighter, recharges faster and has many more lifetime recharging cycles than lithium-ion batteries, which depend on heavy liquid electrolytes.

these innovations are good news for those hoping to speed up EV adoption. They also suggest that batteries, far from becoming a standardized commodity, are going to be customized as auto makers create their own vehicle designs and battery makers develop proprietary platforms.

The state law, referred to as HB 20, makes it illegal for large social networks like Facebook and Twitter to "block, ban, remove, de-platform, demonetize, de-boost, restrict, deny equal access or visibility to, or otherwise discriminate against expression."

HB 20 does carve out exemptions, including those that allow social networks to remove content that "directly incites criminal activity or consists of specific threats of violence targeted against a person or group" based on certain characteristics, or that "is unlawful expression."

We need to fix social networks by removing toxic content. This month's appeals court ruling does the exact opposite and could even deal a fatal blow to social media as we know it. The only thing worse than not fixing the social platforms we have now would be to see them be subject to a constant slew of lawsuits or devolve into platforms that become bastions of hate speech and misinformation. Let's hope Congress doesn't let us down.

the very existence of tweets about an event can make that event seem newsworthy—by virtue of having garnered tweets. This supposed newsworthiness can then result in literal news stories, written by journalists and based on inspiration or sourcing from tweets themselves, or it can entail the further spread of a tweet’s message by on-platform engagement, such as likes and quote tweets. Either way, the nature of Twitter is to assert the importance of tweets.

Tweets appear more meaningful when amplified, and when amplified they inspire more tweets in the same vein. A thing becomes “tweetworthy” when it spreads but then also justifies its value both on and beyond Twitter by virtue of having spread. This is the “famous for being famous” effect

This propensity is not unique to Twitter—all social media possesses it. But the frequency and quantity of posts on Twitter, along with their brevity, their focus on text, and their tendency to be vectors of news, official or not, make Twitter a particularly effective amplification house of mirrors

At least in theory. In practice, Twitter is more like an asylum, inmates screaming at everyone and no one in particular, histrionics displacing reason, posters posting at all costs because posting is all that is possible

Twitter shapes an epistemology for users under its thrall. What can be known, and how, becomes infected by what has, or can, be tweeted.

Producers of supposedly actual news see the world through tweet-colored glasses, by transforming tweets’ hypothetical status as news into published news—which produces more tweeting in turn.

For them, and others on this website, it has become an awful habit. Habits feel normal and even justified because they are familiar, not because they are righteous.

Twitter convinced us that it mattered, that it was the world’s news service, or a vector for hashtag activism, or a host for communities without voices, or a mouthpiece for the little gal or guy. It is those things, sometimes, for some of its users. But first, and mostly, it is a habit.

We never really tweeted to say something. We tweeted because Twitter offered a format for having something to say, over and over again. Just as the purpose of terrorism is terror, so the purpose of Twitter is tweeting.

Most servers are funded by the people who use them.

The servers that Mastodon oversees — Mastodon Social and Mastodon Online — are funded through Patreon, a membership and subscription service platform often used by content creators.

Although Mastodon visually resembles Twitter, its user experience is more akin to that of Discord, a talking and texting app where people also join servers that have their own cultures and rules.

Unlike Twitter and Discord, Mastodon does not have the ability to make its users, or the people who create servers, do anything.

But servers can dictate how they interact with one another — or whether they interact at all in a shared stream of posts. For example, when Gab used Mastodon’s code, Mastodon Social and other independent servers blocked Gab’s server, so posts from Gab did not appear on the feeds of people using those servers.

Like an email account, your username includes the name of the server itself. For example, a possible username on Mastodon Social would be janedoe@mastodon.social. Regardless of which server you sign up with, you can interact with people who use other Mastodon servers, or you can switch to another one

Once you sign up for an account, you can post “toots,” which are Mastodon’s version of tweets. You can also boost other people’s toots, the equivalent of a retweet.

Most A.I. researchers agree that models trained using R.L.H.F. are better behaved than models without it. But some argue that fine-tuning a language model this way doesn’t actually make the underlying model less weird and inscrutable. In their view, it’s just a flimsy, friendly mask that obscures the mysterious beast underneath.

In a nutshell, the joke was that in order to prevent A.I. language models from behaving in scary and dangerous ways, A.I. companies have had to train them to act polite and harmless. One popular way to do this is called “reinforcement learning from human feedback,” or R.L.H.F., a process that involves asking humans to score chatbot responses, and feeding those scores back into the A.I. model.

Shoggoths are fictional creatures, introduced by the science fiction author H.P. Lovecraft in his 1936 novella “At the Mountains of Madness.” In Lovecraft’s telling, Shoggoths were massive, blob-like monsters made out of iridescent black goo, covered in tentacles and eyes.

@TetraspaceWest said, wasn’t necessarily implying that it was evil or sentient, just that its true nature might be unknowable.

And it reinforces the notion that what’s happening in A.I. today feels, to some of its participants, more like an act of summoning than a software development process. They are creating the blobby, alien Shoggoths, making them bigger and more powerful, and hoping that there are enough smiley faces to cover the scary parts.

“I was also thinking about how Lovecraft’s most powerful entities are dangerous — not because they don’t like humans, but because they’re indifferent and their priorities are totally alien to us and don’t involve humans, which is what I think will be true about possible future powerful A.I.”

when Bing’s chatbot became unhinged and tried to break up my marriage, an A.I. researcher I know congratulated me on “glimpsing the Shoggoth.” A fellow A.I. journalist joked that when it came to fine-tuning Bing, Microsoft had forgotten to put on its smiley-face mask.

@TetraspaceWest, the meme’s creator, told me in a Twitter message that the Shoggoth “represents something that thinks in a way that humans don’t understand and that’s totally different from the way that humans think.”

In any case, the Shoggoth is a potent metaphor that encapsulates one of the most bizarre facts about the A.I. world, which is that many of the people working on this technology are somewhat mystified by their own creations. They don’t fully understand the inner workings of A.I. language models, how they acquire new capabilities or why they behave unpredictably at times. They aren’t totally sure if A.I. is going to be net-good or net-bad for the world.

That some A.I. insiders refer to their creations as Lovecraftian horrors, even as a joke, is unusual by historical standards. (Put it this way: Fifteen years ago, Mark Zuckerberg wasn’t going around comparing Facebook to Cthulhu.)

If it’s an A.I. safety researcher talking about the Shoggoth, maybe that person is passionate about preventing A.I. systems from displaying their true, Shoggoth-like nature.

A great many people are dismissive of suggestions that any of these systems are “really” thinking, because they’re “just” doing something banal (like making statistical predictions about the next word in a sentence). What they fail to appreciate is that there is every reason to suspect that human cognition is “just” doing those exact same things. It matters not that birds flap their wings but airliners don’t. Both fly. And these machines think. And, just as airliners fly faster and higher and farther than birds while carrying far more weight, these machines are already outthinking the majority of humans at the majority of tasks. Further, that machines aren’t perfect thinkers is about as relevant as the fact that air travel isn’t instantaneous. Now consider: we’re well past the Wright flyer level of thinking machine, past the early biplanes, somewhere about the first commercial airline level. Not quite the DC-10, I think. Can you imagine what the AI equivalent of a 777 will be like? Fasten your seatbelts.

@thomas h. You make my point perfectly. You’re observing that the way a plane flies — by using a turbine to generate thrust from combusting kerosene, for example — is nothing like the way that a bird flies, which is by using the energy from eating plant seeds to contract the muscles in its wings to make them flap. You are absolutely correct in that observation, but it’s also almost utterly irrelevant. And it ignores that, to a first approximation, there’s no difference in the physics you would use to describe a hawk riding a thermal and an airliner gliding (essentially) unpowered in its final descent to the runway. Further, you do yourself a grave disservice in being dismissive of the abilities of thinking machines, in exactly the same way that early skeptics have been dismissive of every new technology in all of human history. Writing would make people dumb; automobiles lacked the intelligence of horses; no computer could possibly beat a chess grandmaster because it can’t comprehend strategy; and on and on and on. Humans aren’t nearly as special as we fool ourselves into believing. If you want to have any hope of acting responsibly in the age of intelligent machines, you’ll have to accept that, like it or not, and whether or not it fits with your preconceived notions of what thinking is and how it is or should be done … machines can and do think, many of them better than you in a great many ways. b&

@BLA. You are incorrect. Everything has nature. Its nature is manifested in making humans react. Sure, no humans, no nature, but here we are. The writer and various sources are not attributing nature to AI so much as admitting that they don’t know what this nature might be, and there are reasons to be scared of it. More concerning to me is the idea that this field is resorting to geek culture reference points to explain and comprehend itself. It’s not so much the algorithm has no soul, but that the souls of the humans making it possible are stupendously and tragically underdeveloped.

When even tech companies are saying AI is moving too fast, and the articles land on page 1 of the NYT (there's an old reference), I think the greedy will not think twice about exploiting this technology, with no ethical considerations, at all.

@nome sane? The problem is it isn't data as we understand it. We know what the datasets are -- they were used to train the AI's. But once trained, the AI is thinking for itself, with results that have surprised everybody.

The unique feature of a shoggoth is it can become whatever is needed for a particular job. There's no actual shape so it's not a bad metaphor, if an imperfect image. Shoghoths also turned upon and destroyed their creators, so the cautionary metaphor is in there, too. A shame more Asimov wasn't baked into AI. But then the conflict about how to handle AI in relation to people was key to those stories, too.

Koselleck observes that prior to the French revolution, a crisis was a medical or legal problem but not much more. After the fall of the ancien regime, crisis becomes the “structural signature of modernity”, he writes. As the 19th century progressed, crises multiplied: there were economic crises, foreign policy crises, cultural crises and intellectual crises.

When he looked at 5,000 creative individuals over 127 generations in European history, he found that significant creative breakthroughs were less likely during periods of political crisis and instability.

Victor H Mair, a professor of Chinese literature at the University of Pennsylvania, points out that in fact the Chinese word for crisis, wēijī, refers to a perilous situation in which you should be particularly cautious

“Those who purvey the doctrine that the Chinese word for ‘crisis’ is composed of elements meaning ‘danger’ and ‘opportunity’ are engaging in a type of muddled thinking that is a danger to society,” he writes. “It lulls people into welcoming crises as unstable situations from which they can benefit.” Revolutionaries, billionaires and politicians may relish the chance to profit from a crisis, but most people world prefer not to have a crisis at all.

A common folk theory is that times of great crisis also lead to great bursts of creativity.

The first world war sparked the growth of modernism in painting and literature. The second fuelled innovations in science and technology. The economic crises of the 1970s and 80s are supposed to have inspired the spread of punk and the creation of hip-hop

psychologists have also found that when we are threatened by a crisis, we become more rigid and locked into our beliefs. The creativity researcher Dean Simonton has spent his career looking at breakthroughs in music, philosophy, science and literature. He has found that during periods of crisis, we actually tend to become less creative.

psychologists have found that it is what they call “malevolent creativity” that flourishes when we feel threatened by crisis.

during moments of significant crisis, the best leaders are able to create some sense of certainty and a shared fate amid the seas of change.

These are innovations that tend to be harmful – such as new weapons, torture devices and ingenious scams.

A 2019 study which involved observing participants using bricks, found that those who had been threatened before the task tended to come up with more harmful uses of the bricks (such as using them as weapons) than people who did not feel threatened

Students presented with information about a threatening situation tended to become increasingly wary of outsiders, and even begin to adopt positions such as an unwillingness to support LGBT people afterwards.

during moments of crisis – when change is really needed – we tend to become less able to change.

When we suffer significant traumatic events, we tend to have worse wellbeing and life outcomes.

, other studies have shown that in moderate doses, crises can help to build our sense of resilience.

we tend to be more resilient if a crisis is shared with others. As Bruce Daisley, the ex-Twitter vice-president, notes: “True resilience lies in a feeling of togetherness, that we’re united with those around us in a shared endeavour.”

Crises are like many things in life – only good in moderation, and best shared with others

The challenge our leaders face during times of overwhelming crisis is to avoid letting us plunge into the bracing ocean of change alone, to see if we sink or swim. Nor should they tell us things are fine, encouraging us to hide our heads in the san

Waking up each morning to hear about the latest crisis is dispiriting for some, but throughout history it has been a bracing experience for others. In 1857, Friedrich Engels wrote in a letter that “the crisis will make me feel as good as a swim in the ocean”. A hundred years later, John F Kennedy (wrongly) pointed out that in the Chinese language, the word “crisis” is composed of two characters, “one representing danger, and the other, opportunity”. More recently, Elon Musk has argued “if things are not failing, you are not innovating enough”.

This means people won’t feel an overwhelming sense of threat. It also means people do not feel alone. When we feel some certainty and common identity, we are more likely to be able to summon the creativity, ingenuity and energy needed to change things.

the popular suffix “maxxing” for “maximizing” (e.g., “I’m burritomaxxing” instead of “I’m eating a lot of burritos”) is drawn from the incel idea of “looksmaxxing,” or “maximizing attractiveness” through surgical or cosmetic techniques.

Then there’s the word “cucked” for “weakened” or “emasculated.” If the taqueria is out of burritos, you might be “tacocucked,” drawing on the incel idea of being sexually emasculated by more attractive “chads.

These slang terms developed on 4chan precisely because of the site’s anonymity. Since users don’t have identifiable aliases, they signal their in-group status through performative fluency in shared slang

there’s a dark side to the site as well — certain boards, like /r9k/, are known breeding grounds for incel discussion, and the source of the incel words being used today.

finally, we have the word “sigma” for “assertive male,” which comes from an incel’s desired position outside the social hierarchy.

Memes and niche vocabulary become a form of cultural currency, fueling their proliferation.

From there, those words filter out to more mainstream websites such as Reddit and eventually become popularized by viral memes and TikTok trends. Social media algorithms do the rest of the work by curating recommended content for viewers.

Because these terms often spread in ironic contexts, people find them funny, engage with them and are eventually rewarded with more memes featuring incel vocabulary.

Creators are not just aware of this process — they are directly incentivized to abet it. We know that using trending audio helps our videos perform better and that incorporating popular metadata with hashtags or captions will help us reach wider audiences

kids aren’t actually saying “cucked” because they’re “blackpilled”; they’re using it for the same reason all kids use slang: It helps them bond as a group. And what are they bonding over? A shared mockery of incel ideas.

These words capture an important piece of the Gen Z zeitgeist. We should therefore be aware of them, keeping in mind that they’re being used ironically.