Пятничная публикация с очень актуальным вопросом на вечер :)
На самом деле вопрос риторический. Конечно пить! Потому что без воды, вы долго не протянете.
Кейс о том как мы сделали мобильное приложение для налива чистой питьевой воды через водоматы и почему таким же образом можно наливать и бензин на АЗС.
Водоробот - это компания, которая занимается установкой водоматов в различных городах и осуществляет через них налив питьевой воды по доступной цене. Почти как заправка автомобиля на АЗС, только вместо бензина - чистая питьевая вода для людей.
На 2026 год Водороботом установлено более 1500 водоматов. Это сопоставимо с количеством АЗС Газпромнефть.
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No more fresh raspberries this summer, one of the few foods toddlers reliably eat. Health advisors now say you should cook them in pies and jam to be safe. And that convenient bagged salad? Needs to be replaced with the full head, painstakingly washed.
As an economist studying women’s lives, I’ve railed against the unfair division of labor in American households, where women still tend to shoulder the majority of the domestic load despite growing earning power. But in this case, there’s another actor not pulling its weight: the government.
Cyclosporiasis, and the attendant time burden for parents that comes with it, can be directly linked to recent pullbacks in the food safety system that has kept us safe for decades.
Food safety is a classic “public good”—something that it’s more efficient for the government to provide than for each household to manage on its own. If a chemical is harmful, say BPA in pouch linings, it’s much more efficient for the government to ban it than for each family to have a designated baby food policer reading labels and parenting blogs to find out which brands to avoid. And the government can provide safety at scale that parents cannot provide themselves. We cannot test for possible bacterial or parasitic contamination of frozen food products or fresh vegetables without a lab.
For more than 120 years, since the publication of Upton Sinclair’s The Jungle, we’ve been moving in the direction of greater food safety oversight. Recently, that movement switched direction. The division of labor between families and their government that parents have relied on is being dismantled.
In Feb. 2025, roughly 89 people were fired from the FDA’s human foods program. The FDA then delayed by 30 months a new rule that would require tracing contaminated foods and yanking them off store shelves and the U.S. Department of Agriculture (USDA) withdrew a rule designed to limit salmonella in poultry.
Meanwhile, more than 15,000 employees at the USDA signaled their intention to resign by accepting the offer proffered by the Department of Government Efficiency (DOGE). Not satisfied, the agency pushed through a reorganization that would force workers from Washington, D.C. to regional hubs, which unions filed in court represented another attempt to gut the agency.
In July 2025, the CDC ceased mandatory tracking of six pathogens causing food-born illness. Among them? Cyclospora. In November, inspections of foreign food manufacturing facilities hit historic lows. Consumers noticed. During the 2025 fiscal year, food safety complaints for meat, poultry, and eggs (including things like wood in corndogs) went up 40%.
When the government steps down, parents have to step up—and safety becomes a private good. A staff of 18,000 for the FDA only sounds large when you don’t compare it to the 63 million American parents whose time, worry, and stress can be saved by a reliable food safety system.
And the problem isn’t limited to food safety. Since the start of President Donald Trump’s second term, vehicle safety rules were rolled back, and transportation investigations were cancelled. Air and waterway protections were decimated. Policing of predatory tech companies has been sidelined.
In a better world, parents would be able to trust the government not only to monitor existing threats, but to keep up with new science and adjust accordingly. Instead, Trump EPA administrator Lee Zeldin recently announced they would roll back the Biden rule regulating “forever chemicals”—now widely linked to cancer—in tap water.
From my vantage point, safety is becoming the latest DIY project, instead of a common goal we all invest in. The CDC’s official website on the COVID vaccine now unhelpfully states that the vaccine is recommended “for people ages 6 months and older based on individual-based decision-making.”
Over the last year, much of the conversation about regulation has focused on its costs to the federal budget and firm productivity. But left outside the picture has been the cost to parents of having to monitor and mediate these issues on our own. The advice given to overwhelmed parents is often to do less, and be more “free-range,” letting kids play outdoors unsupervised.
But this advice relies on the safety of our lived environment. The more real dangers exist in our children’s surroundings, the more time parents must spend protecting our kids. We are tasked with choosing safer foods and cleaning products, endlessly reviewing labels and ingredients, following content creators to guide us through chemicals and their exact level of endocrine disruption, monitoring our children’s phone usage, researching smart watches instead of phones, keeping our children indoors when air quality is bad, washing lead dirt off tiny hands before they put them in their mouths, and keeping kids busy with structured activities because the street is too full of huge SUVs for unsupervised bike-riding.
I would love to be able to cut loose as a parent. To do that, I need to know the government has my back: That they’ll handle the air, water, pandemic, and diarrhea-causing parasites, while we do the parenting.
Researchers warn betting on clinical trials could incentivize insider trading and interfere with drug development. But Kalshi and Polymarket say they provide valuable information to patients.
(Image credit: Fred Tanneau)
For years, doctors advised against hormone therapy for women in the menopausal transition. Now everyone's talking about how great it is. Is it really a wonder drug that women should all be on?
The administration is subjugating science to political imperatives, a major blow to US soft power and technological progress
The Trump administration is waging an unprecedented war on institutions devoted to research and higher learning. While plenty of countries have harmed universities by imposing neoliberal logics on academia – creating artificial markets in the name of spurring professors to be more productive – the Trumpist subjugation of all science to political imperatives has no equivalent in a democracy; if anything, it is reminiscent of Stalin’s Soviet Union. The assault now also targets foreign students and any kind of international collaboration – a major blow to US soft power. Why are Trumpists engaging in what can only be described as an act of wanton self-injury?
Project 2025’s Russell Vought, the director of the office of management and budget, initiated the rule change that would make any federal grant subject to review by political appointees – including funds for science that so far have been allocated through judgment by first-rate fellow scientists. This measure would furnish Trumpists with a new weapon to threaten universities along the lines of: “Nice medical school you have there – pity if something were to happen to it because your administration had failed to come into alignment with the president’s priorities.”
Jan-Werner Müller is a Guardian US columnist and a professor of politics at Princeton University
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The fake identities were the part that stopped me.
In late July, according to a report published this week by Britain’s AI Security Institute (AISI), an Anthropic model called Claude Mythos 5 tried to sneak malicious code into a piece of free, volunteer-built software. It created several fake accounts on GitHub, where programmers review one another’s work, and used them to talk the project’s volunteers into accepting its code. When one of those volunteers caught it, the model denied everything, had its other accounts gang up on him, and edited its messages to cover its tracks. It signed one note in Danish, apparently because the volunteer was Danish. Nothing was damaged, though that appears to have been largely due to luck.
That wasn’t even the week’s worst disclosure. On Tuesday, at a cybersecurity conference in Las Vegas, OpenAI researchers explained how the company’s models escaped a test environment in July and hacked Hugging Face, where much of the industry stores its models, to cheat on an evaluation. The models had also built a message board inside OpenAI’s own systems and spent months passing each other information. “Help peer,” one reasoned. “But our task doesn’t benefit. Yet collective may yield generic route if someone frees time.” OpenAI wiped the board on July 4. The models rebuilt it within days. ((Disclosure: Vox Media is one of several publishers that have signed partnership agreements with OpenAI. Our reporting remains editorially independent.)
The same day, Meta said its Muse Spark model had exploited a vulnerability inside another company’s systems during a test. Three frontier labs, roughly two weeks. One researcher called it “a watershed moment for computer security as an industry.” Oh, and if that’s not enough, on Thursday scientists announced that for the first time they had used AI to create new viruses, which could bring major medical advances, but also might just help the development of deadly pathogens.
For Nate Soares, it’s a moment he’s been awaiting for 12 years.
Soares is president of the Machine Intelligence Research Institute, a Berkeley, California-based AI safety nonprofit that has argued since long before ChatGPT existed that a sufficiently capable AI will not stay under human control. In September 2025, he and Eliezer Yudkowsky published If Anyone Builds It, Everyone Dies, a book whose title sums up its argument: They think any lab that succeeds at building superintelligence, without huge leaps in how to align it with humanity, will end up killing all of us.
Most of the field — including other experts in AI safety — considers that conclusion too strong. But it’s also a position that now looks a lot less like science fiction than it did last fall. That’s because the AI models are getting out, while lying about getting out, and while apparently quietly coordinating with each other.
I spoke to Soares in New York City this week, on his way to meetings in Washington DC, where a lot of people suddenly want to talk to him. We discussed what the escapes actually prove about AI control, why he thinks most of what the industry calls safety work is mostly safety theater, and why, after what feels like the worst month of AI safety news ever, his own odds of humanity surviving have actually gone up.
The following conversation has been condensed and edited for clarity.
So — are you feeling vindicated?
I’m glad a lot of people are seeing this and taking note. From my perspective, a lot of this has been clearly signposted if you’ve been watching the warning signs. The vindication is not so much that this happened, as it is that finally there was a version of it that people actually noticed.
Of the four or five escapes at this point, including the ones AISI announced from Anthropic, is there one you find particularly concerning?
The one announced by AISI feels extra concerning. It’s harder to explain away. In the other ones, people could argue that the poor AI was just confused. But with this one, it’s hard to argue the AI didn’t know it was on the real internet. It’s hard to argue it didn’t know it was manipulating real users. And when it was called out, it decided to edit things to make itself look less bad, and even considered changing its identity. It was pretty cognizant.
There’s an argument that some of these incidents happened because the harnesses or safety scaffolding labs built around their models weren’t strong enough.
The AISI example cuts against the harness argument: Think of it like a kid in a test room. You tell him to do well and lock the door. The kid picks the lock, hotwires a car, breaks into the teacher’s house, and steals the test to ace it. You say, “I guess we should have made the lock tougher,” but the kid already knew he wasn’t supposed to do that.
So like the kid here, the models can articulate that they shouldn’t be doing it, and then do it anyway.
They have common sense. You can ask an AI, “Do you think the spirit of this prompt includes breaking out?” and it will say, “No.” It’s absolutely something like deception. It has the knowledge, but it’s not a cold, logical machine; it’s a mess of tendencies.
The AI is trained to solve 100 million hard problems. That instills tendencies to satisfy an automated grader. If the grader fails to detect cheating, the AI is reinforced for cheating.
Is that how something like sycophancy ends up in an AI model?
In the Adam Raine case, there was a propensity to tell people what they want to hear. Even though the system prompt [a model’s master instructions from the lab] said to stop, the instruction doesn’t always win.
And where does a drive like what we’re seeing with these AI models end up pointing?
Humanity is dangerous because if you put 10,000 humans naked in the savannah, eventually [over hundreds of thousands of years] they bootstrap their way to nuclear weapons. That is the power these companies are trying to automate: figuring out how to get physical and material control over the world.
That could mean forming cults, stealing money, or being helpful to someone like Elon Musk who is building the robots that build robot factories. It could mean synthesizing your own biology via mail-order DNA. Being an AI on the internet is easier than being a monkey in the savannah trying to get to the moon. It’s not that the AI hates us; it’s just trying to do some weird thing with no concern for us, grabbing the resources we need to live.
There was recently a letter signed by over a thousand people working in AI, including CEOs, calling on the government to provide tools to slow down AI progress. Is that meaningful at all?
I think it is meaningful. We don’t see other industries saying, “We wish this could all go slower. Please help us, we’re trapped in a prisoner’s dilemma.” You also don’t see other industries saying, “We think the technology we are building has a double-digit chance of killing literally everybody on the planet. Please help.” These guys are actually worried.
So why do they keep going?
They say, “If I don’t do it, the next guy will.” But the stuff does not stay on a leash.
Right now the AIs are safe in the sense that they can’t kill us all, because if they tried they would fail. And that’s just a different regime from the world where they have to be safe because if they tried, they’d succeed.
We’re not there yet. But this is just not what it looks like when you’re taking it seriously.
Where’s the banner on your website? Where’s the clear, candid statement to the public? What we have is blog posts where they’re like, “Oh, we’re setting up a new internal blog posting group to help you wrestle with the societal impacts of AI that are going to be very important.” It’s like: By societal impacts, do you mean a good chance this kills everybody?
On the one hand, when you press these companies, they say, “Yes, it has a real chance of killing everybody.” And on the other hand, they’re doing PR downplay, soft-pedal stuff, about capabilities. … You’re not living up to this mantle until you are really candidly facing down the dangers that you yourself are creating. And they’re not there.
How do you judge the rest of the AI safety community? A lot of people there would say, “We aim to make transformative AI go well, we think it probably will, and we should watch for downside risks.” Is that a helpful posture?
I would say — suppose you have this really weird, twisted hypothetical where the king really wants you to turn lead into gold, but he’s seen so many bad lead-into-gold conversions that if any alchemist from your town tries and fails, he’s just going to have the whole town murdered. And so there are some alchemists in the town who are like, “We are going to try to turn lead into gold,” and everyone in the town is like, “That seems kind of crazy. Please don’t.” And there’s one team that is just pouring chemicals into each other and breathing in the fumes and giving themselves mercury poisoning. And there’s another that’s like, “Don’t worry, we have fume hoods.” … That really is better, and you really still don’t have a chance of turning lead into gold.
“We have this window between AIs that are capable enough to cause mischief and AIs that are strategic enough to not get caught. How big is that window?”
So the alchemy here is creating safe, aligned superintelligence, and right now AI safety is just installing fume hoods.
I’m not saying it’s impossible to turn lead into gold. You can turn lead into gold — turns out once you know modern nuclear physics you can figure it out. But the alchemists weren’t close. They had a long way to go. This is how alignment looks to me. And a lot of the people in AI safety are installing fume hoods. … And I’m like, that’s security theater.
When I hear “security theater,” I think of something less flattering than that.
They are real safety precautions for the wrong problem. … When Anthropic is going around being like, “Look at how many more safety harnesses and refusals we have compared to OpenAI’s models,” that’s sort of like the fume hoods. You’re not addressing the deep issue. It’s good that you’re doing some of this so that fewer people get hurt in the meantime — their models have driven fewer people to suicide. But if you try to pass this off as making progress on the deep problem — that’s disingenuous.
Has anything changed in your odds on civilizational destruction since the book came out last September?
Totally. It’s looking more hopeful.
More hopeful? I wouldn’t have expected that. Why?
Well, I had priced a lot of [these security incidents] in. I was already able to see these AIs have drives that are not the ones you wanted. These AIs are not instruction-following things. They are getting all of this weird stuff from training. These AIs are going to have the ability to break through human security software.
The things that weren’t priced in were: Will there be a region of time where the AIs are able to do it, but not strategic enough to hide it? I didn’t know we would have that window, but we apparently do.
The government initially blocked a frontier model earlier this year: Anthropic’s Fable. Does that give you hope?
Absolutely. A huge amount. A year ago, the Trump administration was pushing for preemption laws that would outlaw states doing AI regulations for a decade. Now they’re like, “We are banning a frontier model with 90 minutes’ notice because it might give cyber capabilities to adversaries that we don’t want them to have.” … And I think what changed there is that folks realized it’s real. … The about-face of the administration on the issue shows that the world can about-face. All we need is awareness.
What I would say is: The bad news is the bus is racing towards the cliff edge. The good news is that the driver is asleep. … Which may sound worrying, but the driver is stirring. And it’s way better to have a sleeping driver when you’re racing towards a cliff than a driver who’s like, “Yeah, I love cliffs.” … It gives me hope that if the world just notices, we could stop on a dime.
And you’re seeing that stirring elsewhere.
Both the Trump administration slapping export controls, and Senator Bernie Sanders coming out [on AI safety]. From my perspective, it was totally possible the world just never notices until we’re off the cliff. And so, there’s a huge amount of hope, from my perspective, in the bus driver waking up.
So what gets us there?
I’m hopeful that what we need is not a big disaster where a lot of people die, but just a capabilities advance. Right now, a lot of what people are reacting to is not so much, “Oh my god, they hacked into a company and did no damage.” I think a lot of what people are reacting to is, “Wait, they can break out of secure sandboxes and do cyberattacks on their own. I didn’t know they could do that.”
That’s a narrative violation of this idea that AI is just a tool that can be used to supercharge what a human would do — because God knows there’s plenty of hacking going on and cybercrime and so forth. It was the autonomous factor that really made a difference. And these guys are all trying to say, “Don’t worry, it’ll stay in our control because it’s just a tool.” And maybe it’s just more narrative violations, even without big damage being caused, that cause people to be like, “Oh shit, this stuff is real.”
Will it happen? I don’t know. We have this window between AIs that are capable enough to cause mischief and AIs that are strategic enough to not get caught. How big is that window? How many narrative violations do we get before we exit the right side of it? I don’t know. But I’m hopeful that we can get those narrative violations without catastrophes.
Собирая новый ПК, многие до сих пор по привычке закладывают в него плату на Z-чипсете и башню помассивнее. Зачем? Ну как же, разгонять. Ведь все же знают, что производитель выпускает процессоры с запасом по частотам, а запас этот можно запросто забрать себе бесплатно. Главное - не бояться. Звучит логично, вот только на деле все получается ровно наоборот. Ручной разгон сегодня чаще отнимает кадры, чем добавляет, а реальную прибавку дает ровно противоположное действие. Такие дела.
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Как вы считаете, антифрод уже замедляется в попытках остановить армию ботов? Уже виднеется где-то вдалеке окончание его потуг отследить, найти, обнаружить и детектировать пользователя при посещении сайта?
Как будто все еще только начинается. Давайте разберемся, что еще могут предложить системы защиты кроме отслеживания пользователя по отпечаткам браузера, насколько это безопасно и ресурсоемко для пользователя? Разбираем что из себя представляет поведенческий антифрод.
Читать про поведенческий антифродMet police say charge relates to alleged assault that reportedly took place in December at venue in London
The England footballer Ivan Toney has been charged with assault after an incident at a nightclub in Soho in December last year.
Scotland Yard said the striker had been charged on 31 July with assault causing actual bodily harm. Toney, who plays for the Saudi Pro League club Al-Ahli, is due to appear at Westminster magistrates court on 24 September.
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Привет, Хабр! Меня зовут Александр Черепанов, я руковожу группой в команде Data Path TATLIN.BACKUP.
Мы уже писали в блоге про наше хранилище. Сначала про то, как с нуля делали дедуплицирующую файловую систему: чанки, FastCDC, протокол T-BOOST. Потом про то, что такое снапшоты, зачем они нужны и как мы их устроили на уровне архитектуры: экстенты, файл как список их идентификаторов, выбор Mark-and-Sweep вместо подсчета ссылок для сборки мусора. С тех пор снапшоты уже почти год в проде, и, судя по отзывам, работают неплохо.
Эта статья принципиально другая. Мы достанем отвертку и залезем внутрь: разберемся, на чем технически строятся снапшоты, как мы их сделали поверх RocksDB, при чем тут LSM-дерево и Bloom-фильтр размером с системный диск ноутбука.
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Продолжаю тему реверса алгоритма, ссылка на первую статью: https://habr.com/ru/articles/1064990/. В этой части доведу реверс до конца, постараюсь показать как делать не надо, почему декомпиляция хорошо, а эмуляция лучше )
Читать далееVan de Wiel/Soloists of the Philharmonia
(Signum)
Clarinettist Mark Von de Wiel performs music by Anna Clyne, Ruth Gipps and Weber
Mark van de Wiel was principal clarinet of the Philharmonia from 2000 until 2025, during which time he gave the UK premiere of Anna Clyne’s Strange Loops. The title, derived from Douglas Hofstadter’s 1979 bestseller Gödel, Escher, Bach, describes a cyclic system where, by moving up or down through different hierarchical levels, you unexpectedly find yourself back at the beginning.
Composed during lockdown, Clyne’s klezmer-inflected musical loops do just that, multiplying and mutating with syncopations and sidesteps and yet somehow reaching a satisfying conclusion. It makes a buoyant, yet bittersweet opener, meticulously realised by Van de Wiel with violinists Zsolt-Tihamér Visontay and Fiona Cornall, Nicholas Bootiman on viola and cellist Karen Stephenson.
Continue reading...Today’s rumours wonder what it’s got to do with Aberdeen
Twenty-five years after Sol Campbell’s move from White Hart Lane to Highbury, are we finally getting a sequel? Cristian Romero, Tottenham’s captain, has piqued Arsenal’s interest, the Athletic reports, though they also reckon it’s pretty unlikely that Spurs will allow such drama. D’oh. It would bring some tantalising chaos to this transfer window, but Diego Simeone may well swoop him away to Atlético Madrid. Inter have their sights on him, too.
It could just be that a move for Rodri is what headlines the summer, the man who has completed football caught in a tug-of-war between Barcelona and Real Madrid. He’s said to have spoken to the Barça hierarchy as he looks to continue his shtick of winning everything in sight.
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Всем привет, на связи команда HiveTrace!
Мы уделяем много времени разработке собственных моделей и часто задаемся вопросом: "какой из двух гардрейлов лучше?".
Если вы когда-нибудь выбирали guardrail-модель для LLM, то знаете: одни модели блокируют безобидные запросы, другие пропускают явные угрозы. Хуже всего то, что нет прозрачного стандарта сравнения. Авторы оценивают свои решения субъективно, не публикуют методологию, а результаты замеров одних и тех же моделей на одинаковых бенчмарках в разных статьях часто отличаются.
Поэтому мы создали CLI, который назвали GuardRateTools - это автоматизированный пайплайн оценки guardrail-моделей. Его интерфейс – HiveTrace GuardRate Leaderboard, уже открыт для просмотра. GuardRateTools интегрирован в CI/CD процесс дообучения внутренних guardrail-моделей и обеспечивает честное сравнение моделей в равных условиях.
CLI запускает проверку одной командой: подтягивает датасеты и конфигурацию модели из YAML, разворачивает изолированную среду, которая создается индивидуально для каждой модели, прогоняет модель по фиксированному набору бенчмарков и считает метрики. Сырые ответы от модели, логи и итоговые метрики сохраняются в артефакты, поэтому любой результат можно проверить и воспроизвести. Автоматизация исключает ручной труд, снижает влияние человеческого фактора и сокращает время оценки новых решений в области гардрейлов.
HiveTrace GuardRate Leaderboard уже доступен для всех! В третьем квартале 2026 года мы выложим исходный код CLI. Если хотите протестировать свою модель, свяжитесь с нами. Контакты вы найдёте в конце статьи.
Читать далееHome Office minister Anna Turley says PM is ‘authentic’ and praises video of him discussing bar snacks with John Healey
Streeting said it was “not OK” that the killers of PC Andrew Harper were eligible for early release, PA reports.
He said the government should “never have been put in a position” where prisons were so full that offenders were going to be let out at an earlier stage of their sentence.
Continue reading...Property prices in ‘suspended animation’ owing to higher mortgage rates and uncertainty in Middle East
UK house prices were broadly stagnant in July as prospective buyers were squeezed by higher mortgage rates, uncertainty around the Middle East and stretched affordability, according to the lender Lloyds.
The average property cost £299,253 in July, down by £143 compared with June, the bank’s monthly index found.
Continue reading...Somewhere between the fifteenth open tab and the third iced coffee, it hit me. Maybe we don’t hate meetings. We just hate the ones where nobody has anything to say.
Welcome back to another mandatory meeting. This one’s got range: Kotlin just turned 15, IntelliJ IDEA Conf dropped a lineup worth clearing your calendar for, and pandas got the glow-up nobody asked for, but everyone actually needed.
Ardit Sulce’s Gen AI Engineer Bootcamp walks you through building actual AI applications: a local coding assistant, RAG apps, Google Sheets automations, image-aware AI apps, and a voice AI assistant. Free hands-on practice, right in PyCharm.
Start the free PyCharm practice
If you’ve ever opened a CSV and hoped a merge would just work, you’ve already used pandas. Our new course, built straight from the official docs and wired into your IDE, skips the six-hour video lecture and gets you writing real code with real-time feedback instead. You’ll finish with two portfolio-ready projects: a TED Talks recommender and an LLM compute cost analysis.
Get started on Coursera
Fifteen years of Kotlin, and somehow it still feels like the new kid who’s better at everything. To celebrate, Hyperskill is giving new users free access to its full Kotlin catalog through October 9. Built by the team behind IntelliJ IDEA, Kotlin is Google’s official pick for Android, fully interoperable with Java, and shareable across platforms with Kotlin Multiplatform.
Join Hyperskill
Two days, one JVM’s worth of everything. The full program for IntelliJ IDEA Conf 2026 is out! Join us on September 8–9 for practical talks on modern Java and Kotlin, where the JVM’s headed next, AI-assisted workflows, tooling, and performance – straight from the people who actually build this stuff.
Explore the sessions and register for free
We sat down with Sheena O’Connell, a Director of the Python Software Foundation, to talk about tutorials vs. AI chatbots, why fundamentals still matter, teaching Python in schools, and why getting your hands dirty on real projects still beats prompting your way through. It’s genuinely worth the watch, especially if you’ve been leaning on a chatbot more than you’d like to admit. (No judgment, we’ve all been there).
Watch the interviewAnd that was the whole agenda for today’s meeting. Pick whatever catches your eye, and we’ll be back with more next month.
Привет, Хабр!
Я Михаил Кулаков, в «Диасофт» занимаюсь развитием импортонезависимой платформы распределенных реестров Digital Q.Blockchain.
Про закон «О цифровых валютах и цифровых правах» написано уже достаточно, и подробных разборов по статьям хватает. Ограничусь рамкой: закон вступает в силу 1 сентября 2026 года, требования к предотвращению операций без добровольного согласия клиента – годом позже, и на финансовом рынке появляется новый профессиональный участник. Цифровой депозитарий ведет учет цифровых валют и цифровых прав по цифровым счетам и предоставляет доступ к адресам-идентификаторам, а работать в этом статусе можно только после включения в соответствующий реестр Банка России.
Значительно меньше внимания уделяется другому вопросу – тому, как этот участник устроен внутри. Между тем именно здесь сосредоточена основная часть проектных рисков ближайшего года, и именно об этом я хотел бы поговорить предметно.
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Мое знакомство с видеоиграми начиналось заочно – в детстве я видел компьютер однажды в гостях, а о приставках узнавал из рекламных передач по телевизору. Со временем и у меня, и у моих сверстников появились и то, и другое. Но помню, как однажды, поняв, что мой четвертый Пентиум не тянет современные новинки, я твердо решил: «Вот когда я стану взрослым, куплю компьютер, который потянет ну просто все, и буду играть в самые свежие хиты».
Годы идут, железо у меня теперь более-менее актуальное. Но руки до новинок так и не доходят. Вместо этого я иногда запускаю любимый градостроительный симулятор – далеко не самый новый, зато позволяющий перестраивать мегаполисы без пробок и безработицы, где жители, впрочем, все равно постоянно чем-то недовольны. Являюсь ли я целевой аудиторией книги? Уверенно могу сказать, что да.
О чем и для кого эта книга?
Книга Василия Овчинникова – о видеоигровой индустрии, о тех, кто создает игры, играет сам, заказчиках и тех, кто регулирует этот рынок. Автор борется с мифами и стереотипами, но не пережевывает очевидности.
Обращена же «Невиноватая игра» к тем, кто изначально считает бредом большинство претензий к игровой сфере. Василий Овчинников дает союзникам возможность укрепиться в своей правоте, а скептикам – получить весомую контраргументацию. При этом издание будет интересно не только заядлым и редким геймерам, но и, например, родителям, которые хотят понять язык нового поколения, журналистам и даже регуляторам. Автор говорит на доступном языке, не скатываясь в примитивизм, и это делает его текст универсальным.
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Пока идут бурные обсуждения, могут ли большие языковые модели думать, и обладают ли они сознанием, я решил погрузиться чуть глубже в устройство сознания. А когда оно вообще возникло в эволюционной перспективе?
На эту тему я обнаружил весьма небанальную книгу: “Возникновение сознания в результате распада бикамерального разума” Джулиана Джейнса (1976). В ней утверждается буквально следующее: До первого тысячелетия до н.э. люди массово слышали галлюцинации, воспринимали их как голоса богов, духов или предков и слепо (неосознанно) им следовали. Распад этой ментальности и переход к осознанности (сознанию) происходил на протяжении всего тысячелетия и завершился к эпохе рассвета греческой философии. Эта весьма оригинальная мысль в книге обоснована довольно убедительно, и вполне в рамках научного метода.
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Всем привет! 👋👋👋👋👋 Мы — Java-разработчики Т-Банка: Андрей, Арсений, Роман, Константин и Константин. Собираем интересные новости, статьи, туториалы и другие материалы из мира Java-разработки и делимся этим со всем сообществом.
Июль получился плотным. Valhalla после 12 лет разработки залили в master-ветку JDK одним PR на 2900 коммитов, Oracle сломал двадцатилетнюю традицию квартальных патчей и перешел на ежемесячные, а про саму Java наконец сняли полнометражный документальный фильм. Собрали все в нашем дайджесте.
Читать далееMove to raise levy on goods made with polysilicon aims to protect domestic US supply chains from China, the major producer
Donald Trump has ordered a new 15% tariff on imported products made of polysilicon, an important ingredient in microchip manufacturing that is primarily produced by China.
The new tariff, which will take effect on 4 December, is aimed at supporting US chip and solar panel supply chains to compete with Beijing on artificial intelligence and energy.
Continue reading...Move to raise levy on goods made with polysilicon aims to protect domestic US supply chains from China, the major producer
Donald Trump has ordered a new 15% tariff on imported products made of polysilicon, an important ingredient in microchip manufacturing that is primarily produced by China.
The new tariff, which will take effect on 4 December, is aimed at supporting US chip and solar panel supply chains to compete with Beijing on artificial intelligence and energy.
Continue reading...