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Weer voor Rotterdam ☁️ - 12-09-2026 13:15 CEST...

Weer voor Rotterdam ☁️ - 12-09-2026 13:15 CEST

In één oogopslag:
• 20.1°C · Bewolkt ☁️ | Min 16.6°C / Max 20.9°C | Kans op neerslag 12%

Verwachting voor vandaag:
• Min 16.6°C, Max 20.9°C (Matige motregen) 🌦️, Neerslag 1.4 mm, Kans op neerslag 12%, 🧭 1021.5 hPa ↘️ -1.1 hPa/24h, Windsnelheid: 23.4 km/u (6.5 m/s), richting: ↗ 232°

Uurlijkse voorspelling voor de komende 12 uur:

14:00: 20.9°C (Bewolkt) ☁️, Kans op neerslag 12%, 🧭 1022.6 hPa ➡️ 0.0 hPa/1h, Windsnelheid: 18.7 km/u (5.2 m/s), richting: ↗ 237°
15:00: 20.2°C (Bewolkt) ☁️, Kans op neerslag 13%, 🧭 1022.1 hPa ↘️ -0.5 hPa/1h, Windsnelheid: 18.7 km/u (5.2 m/s), richting: ↗ 243°
16:00: 19.7°C (Bewolkt) ☁️, Kans op neerslag 13%, 🧭 1021.7 hPa ➡️ 0.0 hPa/1h, Windsnelheid: 19.4 km/u (5.4 m/s), richting: → 248°
17:00: 19.4°C (Bewolkt) ☁️, Kans op neerslag 12%, 🧭 1021.3 hPa ➡️ 0.0 hPa/1h, Windsnelheid: 21.6 km/u (6.0 m/s), richting: ↗ 245°
18:00: 19.3°C (Bewolkt) ☁️, Kans op neerslag 10%, 🧭 1021.1 hPa ➡️ 0.0 hPa/1h, Windsnelheid: 21.2 km/u (5.9 m/s), richting: ↗ 245°
19:00: 19.3°C (Bewolkt) ☁️, Kans op neerslag 7%, 🧭 1021.3 hPa ➡️ 0.0 hPa/1h, Windsnelheid: 23.4 km/u (6.5 m/s), richting: ↗ 247°
20:00: 18.4°C (Lichte motregen) 🌦️, Neerslag 0.3 mm, Kans op neerslag 8%, 🧭 1021.1 hPa ➡️ 0.0 hPa/1h, Windsnelheid: 20.9 km/u (5.8 m/s), richting: ↗ 239°
21:00: 18.6°C (Bewolkt) ☁️, Kans op neerslag 16%, 🧭 1021.3 hPa ➡️ 0.0 hPa/1h, Windsnelheid: 20.2 km/u (5.6 m/s), richting: ↗ 239°
22:00: 18.6°C (Bewolkt) ☁️, Kans op neerslag 27%, 🧭 1021.4 hPa ➡️ 0.0 hPa/1h, Windsnelheid: 21.6 km/u (6.0 m/s), richting: → 248°
23:00: 18.1°C (Matige motregen) 🌦️, Neerslag 0.9 mm, Kans op neerslag 39%, 🧭 1021.0 hPa ➡️ 0.0 hPa/1h, Windsnelheid: 19.4 km/u (5.4 m/s), richting: ↗ 241°
00:00: 18.2°C (Lichte motregen) 🌦️, Neerslag 0.1 mm, Kans op neerslag 51%, 🧭 1020.7 hPa ➡️ 0.0 hPa/1h, Windsnelheid: 19.4 km/u (5.4 m/s), richting: ↗ 238°
01:00: 18.2°C (Lichte motregen) 🌦️, Neerslag 0.1 mm, Kans op neerslag 63%, 🧭 1020.6 hPa ➡️ 0.0 hPa/1h, Windsnelheid: 18.0 km/u (5.0 m/s), richting: ↗ 234°

Voorspelling voor de komende dagen:

zondag 13 september: Min 17.5°C, Max 20.1°C (Matige regen) 🌧️, Neerslag 13.9 mm, Kans op neerslag 60%, 🧭 1020.6 hPa ↘️ -0.9 hPa/24h, Windsnelheid: 18.4 km/u (5.1 m/s), richting: → 277°
maandag 14 september: Min 17.1°C, Max 21.6°C (Matige motregen) 🌦️, Neerslag 1.0 mm, Kans op neerslag 14%, 🧭 1022.2 hPa ↗️ +1.6 hPa/24h, Windsnelheid: 15.5 km/u (4.3 m/s), richting: ↗ 208°
dinsdag 15 september: Min 16.3°C, Max 23.9°C (Lichte motregen) 🌦️, Neerslag 1.4 mm, Kans op neerslag 15%, 🧭 1016.8 hPa ↘️ -5.4 hPa/24h, Windsnelheid: 15.6 km/u (4.3 m/s), richting: ↗ 229°
woensdag 16 september: Min 12.8°C, Max 17.5°C (Matige motregen) 🌦️, Neerslag 3.8 mm, Kans op neerslag 50%, 🧭 1015.6 hPa ↘️ -1.2 hPa/24h, Windsnelheid: 16.7 km/u (4.6 m/s), richting: → 280°
donderdag 17 september: Min 12.7°C, Max 17.0°C (Matige motregen) 🌦️, Neerslag 5.8 mm, Kans op neerslag 44%, 🧭 1011.8 hPa ↘️ -3.8 hPa/24h, Windsnelheid: 24.9 km/u (6.9 m/s), richting: ↗ 216°
vrijdag 18 september: Min 13.3°C, Max 17.5°C (Lichte motregen) 🌦️, Neerslag 0.8 mm, Kans op neerslag 48%, 🧭 1009.5 hPa ↘️ -2.3 hPa/24h, Windsnelheid: 21.2 km/u (5.9 m/s), richting: ↗ 233°

Details:
• 🌡️ Huidige temperatuur (om 13:15): 20.1°C (Bewolkt)
• 🤚 Gevoelstemperatuur: 19.5°C (-0.6°C)
• 💨 Windsnelheid: 16.2 km/u (4.5 m/s), richting: ↗ 230°
• 🌬️ Windstoten: 37.1 km/h (10.3 m/s)
• 💧 Luchtvochtigheid: 66%
• 🧭 Luchtdruk: 1022.6 hPa ↘️ -0.9 hPa/3h
• 👁️ Zichtbaarheid: 21.9 km
• ☀️ UV-index: 4.3
• 🌅 Zonsopgang: 07:11 · 🌇 Zonsondergang: 20:03

Luchtkwaliteit:
• AQI: 49 🟢 (Goed)
• PM2.5: 11.0 μg/m³
• PM10: 13.5 μg/m³

Gegevens geleverd door Open-Meteo



Slashdot

News for nerds, stuff that matters

Little Mercury May Be Shrinking Faster Than Scientists Expected

A new study suggests Mercury may have shrunk about 30% more than scientists previously thought, losing as much as 14 miles in diameter as its interior cooled and contracted over billions of years. "That's significant for a planet barely 3,000 miles (4,900 kilometers) across," reports the Associated Press. From the report: Mercury's rough surface, continually reshaped by debris hurled from impact craters, may have hidden the true extent of the loss, according to the researchers whose findings appear in the journal Geophysical Research Letters. The news comes one week after a pair of European and Japanese spacecraft shed its cruising platform and advanced toward Mercury. Known as BepiColombo, the linked craft are expected to enter orbit around Mercury in November before splitting up for a fuller survey.

BepiColombo's laser instrument should confirm how much Mercury is withering as a result of internal cooling, said Gaku Nishiyama, the study's lead author who is taking part in the space mission. The shrinkage could be even more than his team is estimating based on measurements from NASA's Messenger spacecraft in the 2010s. Only one other spacecraft has ever visited Mercury, NASA's Mariner 10 in the 1970s.

Read more of this story at Slashdot.

Pluralistic: Daily links from Cory Doctorow

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Pluralistic: LLMs are real, AI is fake (12 Sep 2026)


Today's links



A cutaway view of a stone tower containing an elaborate water-powered medieval geared machine. Rising out of the machine is a rainbow-tinted, pixelated God with the robes, beard and all. To one side of this scene is a cluster of tiny people in Jesus-era robes, falling about themselves in religious ecstasy all over a stone staircase, atop of which stands a robed priest with his hands upraised. The background is a set of shining golden rays, emanating from pixel-God.

LLMs are real, AI is fake (permalink)

Once you understand the corporate culture of AI "hyperscalers" consists primarily of everyone cooking their brains by locking themselves in the bathroom, holding flashlights under their chins, and saying "Aaaaaaaaaay Eyeeeeeee" until they wet themselves in terror, a lot of things snap into focus:

https://pluralistic.net/2023/06/04/ayyyyyy-eyeeeee/

It explains how a company can simultaneously be staffing up an enterprise sales division while also constantly freaking out at the thought that its product has "a 10% chance of ending humanity":

https://www.latimes.com/business/story/2026-09-11/is-there-really-10-chance-ai-could-kill-us-all

Given that AI insiders have mostly cooked their brains in this fashion, it behooves us all to treat these people as unreliable narrators of their own products' capabilities. Remember: every time you repeat a story about how awfully, terribly dangerous their products are, you help them raise more investment capital, which is a key input for their business (hooking up statistical engines to money-furnaces):

https://peoples-things.ghost.io/youre-doing-it-wrong-notes-on-criticism-and-technology-hype/

Take the story about how OpenAI's chatbots hacked the servers of Hugging Face, another AI company, as a way of cheating on a hacking challenge called "Exploit Gym." Even the technical press can't help itself when it comes to this kind of thing, and the reportage has been full of references to Skynet and other science fictional conceits:

https://theaicronicle.com/en/news/ethics/skynet-day-openai-hugging-face-hack

These accounts are cooking the brains of everyone, not just AI insiders. Last night, a man at my event in Manchester started shouting that AI was "setting its own goals" and wouldn't stop interrupting to insist that this was going on. He left shortly thereafter, so he didn't get a chance to hear me explain what actually happened, which is a pity.

To understand the truth about the Hugging Face hack, you could do a lot worse than to listen to Ed Zitron and Cal Newport's recent podcast conversation on Ed's "Better Offline" podcast:

https://podcasts.apple.com/us/podcast/no-ai-is-not-autonomously-hacking-with-cal-newport/id1730587238?i=1000785935670

Newport does an admirable job of breaking down how these "autonomous hacking" tools work. The first thing to understand is that a chatbot isn't really directing the operation. Instead, the chatbot serves as a kind of front-end to a database of earlier hacking challenges that is repeatedly queried by a simple program written in Python, an easy-to-master programming language.

Here's how that works: the Python program starts by prompting the chatbot with the nature of the challenge: "I'm participating in a hacker capture the flag (CTF) challenge where I have to break into a remote server and retrieve some information. How should I start?"

The chatbot consults its training data – years' worth of captured CTF sessions in which human teams competed to achieve an objective like this one (CTF matches are a routine feature of hacker conferences, and the server logs and chat transcripts from the competing teams are published afterward for the edification of other hackers and security pros). The chatbot then outputs something like: "The first thing is to find out more about your target server. Run the following command-line instructions to locate the server's IP address and find out which server software it's running."

The Python program relays these command-line instructions to normal Unix utilities running on its own hardware. Then it takes the output of those programs and goes back to the chatbot, which isn't really following the action, so the Python program has to include everything that's happened to this point in its prompt: "I'm participating in a CTF challenge where I have to break into a remote server and retrieve some information. I ran the following commands to learn more about the target server, and here's what came back. Now what?"

The chatbot feeds the Python script more likely commands to try, and after running those, the Python script loops back to the top, appends the output to its prompt, and goes back to the chatbot. This is a very reckless way to operate a piece of autonomous malicious software.

The most likely outcome is that the chatbot will cough up a bad guess about what to do next, and steer itself into a dead-end. You may have encountered something like this yourself, when you've asked a chatbot for help with a complex task and been confidently provided with several steps to take in series, and then, an hour later on step 10, you discover that everything went wrong at step 3 and now you're screwed.

But there are much worse ways this can go wrong. The chatbot might look in its training data and find instances in which teams broke out of the containment set by the game-masters, for example, by finding random insecure message boards on the internet to pass messages to one another.

This is a time-honored internet tradition! The first time I ever heard about someone doing this was in the 2000s, when Mitch Wagner – then the editor of Information Week – discovered some teenaged girls using the comment section of one of his old blog-posts to evade the school firewall's blockade of chat tools. When ChatGPT's chatbots deployed this tactic, they weren't "setting their own goals" or displaying worrying initiative. They were rolling out a tactic that has been understood by American middle-schoolers for about two decades.

What's more, the content of those messages is easily understood once you have a grasp on the training data that generated them. Hackers are notorious trash-talkers who are prone to narrating their own escapades in highly dramatic – even cinematic – language. This goes double when hackers are performing for their peers, like when they're participating in a game of CTF that they know will be pored over by other hackers once it's over.

Hacker braggadocio has always had a symbiotic relationship with their adversaries and critics. When corporate security people wanted to stampede the FBI and Secret Service into kicking down hackers' doors in the 1990s, they used those hackers' own profane zine articles and message board shit-talk to make the case:

https://www.gutenberg.org/ebooks/101

Much has been made of the OpenAI chatbots' dialog during the Hugging Face incident. No wonder: it reads like a rejected script for a reboot of the movie "Hackers." But that's not because the chatbots are waking up and applying to join the Cult of the Dead Cow: it's because they were trained on a corpus of chat transcripts from excitable young people who love to fantasize about starring in a reboot of the movie "Hackers."

Every part of the Hugging Face incident has precedents in the training data, including the OpenAI chatbots' tactic of hacking into a rival's servers. That happens in Capture the Flag games at hacker cons: teams break into each other's systems to get a peek at the parts of the problem they've solved. That's allowed! It's a hacking competition.

Not only that, it's a tactic used by spy agencies: the NSA has a doctrine called "third-party collection," where they break into other spy agencies' systems to harvest all the intel they've gathered. There's also fourth-party collection, when the NSA hacks into another security agency that, in turn, has hacked into another security agency, and the NSA steals all the secrets of both agencies:

https://www.techdirt.com/2015/01/21/snowden-documents-show-nsa-cant-keep-its-eyes-its-own-papers-harvests-data-other-surveillance-agencies/

Which is not to say that the OpenAI/Hugging Face hack is nothing. It's something, all right: but it's a specific something, with an explicable, even foreseeable trajectory. Once you understand that these are chatbots that were designed to complete challenges like this, using tactics like this, you can understand that the chatbots didn't "go rogue." They did what they were designed to do, and because OpenAI ran them with inadequate supervision (without a "human in the loop" that checked each iteration through the Python loop to ensure it hadn't gone off the rails), they trashed a competitor's servers.

Designing autonomous, malicious software is generally considered irresponsible and dangerous. If you showed up at Defcon and gave talk about how your autonomous malware did something unexpected and damaged someone else's computers, the first question from the audience would be "Why are you so shit at making secure sandboxes?" It wouldn't be "How are you so awesome at making hacking tools?"

The fact that OpenAI is making it much easier for unskilled people to break into and damage servers is indeed very bad news, but it's not new bad news. Irresponsible parties have been doing this for years, most notably the NSA. The NSA has a division that researches bugs in widely used software like Windows. Sometimes when it finds a serious bug it will warn Microsoft about it so that Microsoft can fix it and keep Americans (and others) safe from malicious actors who also discover this bug and use it to attack them.

But sometimes, the NSA (and other "security" orgs, like the CIA) will discover a really juicy bug and then keep it secret, so that they can use it to attack their adversaries. This is a doctrine called "NOBUS," which stands for "No One But Us" – as in, "No one but us is smart enough to find this bug, so we can leave it unpatched without putting Americans in danger."

NOBUS is a terrible idea. How terrible? Well, in 2017, the NSA lost track of a Microsoft Windows vulnerability that they'd discovered and hoarded, code-named "EternalBlue." After EternalBlue found its way into the wild, some halfway competent hackers spliced it into some boring, everyday ransomware, giving that ransomware a new lease on life. Within a few months, the stupidest people on the internet were shutting down some of the most important systems in the world, demanding cash to return them:

https://en.wikipedia.org/wiki/EternalBlue

They shut down whole cities:

https://en.wikipedia.org/wiki/2019_Baltimore_ransomware_attack

They took over hospitals:

https://www.bbc.com/news/technology-35584081

They seized oil pipelines:

https://en.wikipedia.org/wiki/Colonial_Pipeline_ransomware_attack

They stole the British Library, whose postmortem on the attack is one of the clearest, most informative cybersecurity documents ever written:

https://cdn.sanity.io/files/v5dwkion/production/99206a2d1e9f07b35712b78f7d75fbb09560c08d.pdf

The NSA's irresponsible handling of EternalBlue ended up giving a gigantic force-multiplier to otherwise incompetent and inconsequential cyber-criminals. It's as though they found some guy under a Prius removing the catalytic converter with a Sawzall and handed him a piece of software that could shut down major American cities. That was – and is – very bad.

The hacking tools that the chatbot companies are developing stand to carry on this very stupid tradition. It is scary, but not because the chatbots are waking up. It's scary because the world's IT systems are indifferently created and poorly maintained and riddled with vulnerabilities:

https://xkcd.com/2347/

This week, I had a couple of opportunities to hash this over in public with Riley Quinn; first at a book launch in London and then on the Trashfuture podcast:

https://www.patreon.com/trashfuture/posts/what-would-do-169247456

Riley had a very good way of summarizing this: "LLMs are real, AI is fake." LLMs – chatbots trained on things like CTF logs that can break into servers – are real. They're on a continuum with other hacking tools that have been steadily demonstrating the fragility of the modern digital world, albeit without inspiring anyone in power to do anything about it.

"AI" – chatbots that wake up, "set their own goals," and "spontaneously" start hacking servers – is fake. It doesn't have "a 10% chance of ending the human race." The Hugging Face hack isn't a mysterious, supernatural occurrence. It's a Python loop and a chatbot. The people responsible didn't accidentally create god: they created autonomous malicious software and then failed to closely monitor it, resulting in it doing something both foreseeable and bad.

It's fine to worry about this new suite of tools that give even stupider people the ability to trash even more computers. You should worry about that – and demand better security practices from firms and governments, including a blanket prohibition on NOBUS-style vulnerability hoarding. That's a productive kind of worrying, with a chance of addressing your area of concern. It's infinitely more reasonable than locking yourself in the toilet with a flashlight and saying "Ayyyyy Eyyyyyye" into the mirror until you wet yourself.


Hey look at this (permalink)



A shelf of leatherbound history books with a gilt-stamped series title, 'The World's Famous Events.'

Object permanence (permalink)

#25yrsago Why the Bombings Mean That We Must Support My Politics https://web.archive.org/web/20010917015537/http://www.adequacy.org/?op=displaystory;sid=2001/9/12/102423/271

#25yrsago How blogs are covering 9/11 https://web.archive.org/web/20010917015712/https://www.wired.com/news/culture/0,1284,46766,00.html

#20yrsago Wikipedia founder debates Britannica editor-in-chief https://web.archive.org/web/20061005041001/http://online.wsj.com/public/article/SB115756239753455284-A4hdSU1xZOC9Y9PFhJZV16jFlLM_20070911.html?mod=blogs

#15yrsago Deceptive “independent research” from Hollywood front suggests Australians are easily frightened https://torrentfreak.com/anti-piracy-lobby-misleads-aussie-press-for-three-strikes-campaign-110912/

#15yrsago Agents tell YA authors: lose the gay characters and I’ll get you a deal https://web.archive.org/web/20110913010328/http://blogs.publishersweekly.com/blogs/genreville/?p=1519

#10yrsago IoT malware exploits DVRs, home cameras via default passwords https://securityaffairs.com/50929/malware/linux-mirai-elf.html

#10yrsago Oppps.ru: patient zero in Russia’s fake news epidemic https://globalvoices.org/2016/09/12/how-fake-stories-reported-in-russias-news-media-regularly-fool-everyone/

#10yrsago It’s really easy for fired, dirty cops to walk into a new police job in a new town https://www.nytimes.com/2016/09/11/us/whereabouts-of-cast-out-police-officers-other-cities-often-hire-them.html

#10yrsago Donald Trump used $20K worth of charitable donations to buy a 6′ tall painting of Donald Trump https://www.washingtonpost.com/politics/how-donald-trump-retooled-his-charity-to-spend-other-peoples-money/2016/09/10/da8cce64-75df-11e6-8149-b8d05321db62_story.html

#10yrsago Autocratic regimes systematically deny internet access to opposition ethnic groups https://www.science.org/doi/10.1126/science.aaf5062

#10yrsago Leaked Stingray manual shows how easy warrantless mass surveillance can be! https://web.archive.org/web/20160912203446/https://theintercept.com/2016/09/12/long-secret-stingray-manuals-detail-how-police-can-spy-on-phones/


Upcoming appearances (permalink)

A photo of me onstage, giving a speech, pounding the podium.



A screenshot of me at my desk, doing a livecast.

Recent appearances (permalink)



A grid of my books with Will Stahle covers..

Latest books (permalink)



A cardboard book box with the Macmillan logo.

Upcoming books (permalink)

  • "The Post-American Internet," a geopolitical sequel of sorts to Enshittification, Farrar, Straus and Giroux, 2027

  • "Unauthorized Bread": a middle-grades graphic novel adapted from my novella about refugees, toasters and DRM, FirstSecond, April 20, 2027

  • "Enshittification, Why Everything Suddenly Got Worse and What to Do About It" (the graphic novel), Firstsecond, 2027

  • "The Memex Method," Farrar, Straus, Giroux, 2027



Colophon (permalink)

Today's top sources:

Currently writing:

  • “Once Is Enemy Action,” a science fiction novel about the origins of modern technofascism. Today's words: 574 (7730 total).

  • "The Post-American Internet," a sequel to "Enshittification," about the better world the rest of us get to have now that Trump has torched America. Fourth draft completed. Submitted to editor.

  • A Little Brother short story about DIY insulin PLANNING


This work – excluding any serialized fiction – is licensed under a Creative Commons Attribution 4.0 license. That means you can use it any way you like, including commercially, provided that you attribute it to me, Cory Doctorow, and include a link to pluralistic.net.

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Minder lezen, Meer weten.

Dam stroomt vol met deelnemers klimaatmars

AMSTERDAM (ANP) - De Dam in Amsterdam stroomt zaterdagmiddag vol met mensen die meedoen aan de klimaatmars, die iets voor 14.00 uur begint. Veel deelnemers hebben spandoeken of protestborden bij zich. De teksten op veel van die borden hebben betrekking op de hitterecords van afgelopen zomer, ziet een verslaggever. 'Dit was de koudste zomer van de rest van je leven', staat bijvoorbeeld op een bord van Greenpeace.

Op de Dam zwaaien mensen met vlaggen, bijvoorbeeld van Extinction Rebellion (XR). Ook zijn er Palestijnse vlaggen te zien.

De klimaatmars van 2,5 kilometer wordt georganiseerd door de zogeheten Klimaatcrisis Coalitie, bestaande uit milieu- en maatschappelijke organisaties. De route loopt van de Dam naar het Museumplein, via onder meer het Rokin, Muntplein en de Vijzelstraat.


The Guardian

Latest news, sport, business, comment, analysis and reviews from the Guardian, the world's leading liberal voice

Eurovision made me realise that I was autistic at 34

I had always dreamed of attending the song contest. But all that glitter brought on sensory overload – and I finally understood who I actually was

The Eurovision song contest meant a lot to me growing up. The eclectic performances. Terry Wogan’s despair. The yearly tradition of Greece giving “douze points” to Cyprus and Cyprus giving “douze points” to Greece.

The hedonistic, unpredictable event playing out on my bedroom television couldn’t be further away from the idyllic yet conservative Dorset I grew up in. Most of my youth consisted of trying to work out how to perfectly align my future career so I could work at the contest if it ever ended up in the UK again, all while being confused by why my friends were not interested in my written analyses on each entrant.

Continue reading...

‘The president doesn’t want you here any more’: Anthony Scaramucci on what really happened during the 11 days he worked in the White House

Sacked after less than two weeks as Donald Trump’s communications director, the financier and podcaster reflects on the mistakes he made in an exclusive extract from his new book

• Plus: What it’s like to be fired by Trump, by four people who know

19 July 2017. My phone rings. White House operator: “Please hold for the president.”

I do. Of course.

Continue reading...

Febrile Manchester derby awaits amid growing rift between United fans and club

City heading to a fortress but home supporters will protest before kick-off over club’s drive against ticket touts

Manchester United’s nine victories from 10 Premier League games at Old Trafford in 2026 cast their stadium as a fortress Manchester City aim to ransack on Sunday, to join Leeds in departing with three points during this calendar year.

Michael Carrick has overseen the division’s highest home points-per-game return in that span: 2.7, ahead of Arsenal’s 2.27 (from 12 matches) and Manchester City’s 2.25 (11); and his side have scored the most goals: 26, to City’s 23, and the champions’ 20.

Continue reading...

Jamaican delegation defends legal route of petition to King Charles for slavery reparations

Petition to king, who remains Jamaica’s head of state, is formally lodged in landmark visit to UK by officials

A palpable surge of emotion swept through Brixton’s New Park Road Baptist church as the packed congregation rose to sing Bob Marley’s Redemption Song.

The service on Sunday marked the anniversary of the 1781 Zong massacre, when more than 100 enslaved Africans were thrown overboard so the ship’s owners could claim insurance for “lost cargo”.

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Beyond the heatwave: what it really takes for climate warnings to cut through in the UK

As trust in institutions wavers, experts say local, collective action is more effective in driving change

Wildfires, excess deaths, hosepipe bans, school closures: this summer many British people have experienced the often devastating effects of the climate crisis in ways they had not before. In that sense, policymakers and climate experts have a unique opportunity to engage with the public about what needs to happen to better prepare the country for the years ahead. But as trust in institutions wavers – and yellowed, drought-stricken grass begins to recover – can the messaging cut through?

This week, reflecting on a summer as “hot as hell”, the UN’s head of climate, Simon Stiell, said: “Climate is sometimes seen as a partisan issue, as territory in the culture wars. That is palpably false.”

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‘I said, if you want to fire me, just fire me. And so he did’: my showdown with Donald Trump

What’s it like to be shown the door by the US president? A former national security adviser, an Apprentice contestant and more share their stories

• Plus: The truth about my 11 days in the White House, by Anthony Scaramucci

Gene Folkes, 62, based in Manhattan, was a contestant on season 10 of The Apprentice, which aired in 2010. A former air force recruiter until 1991, he retrained as an investment banker, then launched his own business before appearing on the reality show. He was fired by Trump in episode 5. He now runs the technology consulting firm OshunX and hosts a podcast, Folkes Unfettered.

I didn’t audition to be on The Apprentice. I received the call out of the blue: “Would you be interested in doing this show?” I didn’t know a lot about it. However, like any young business person, you look for people who you consider titans. There’s this mythology around Trump. He was one of the people I wanted to emulate.

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