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Version:6.18.32 (longterm) Released:2026-05-17 Source:linux-6.18.32.tar.xz PGP Signature:linux-6.18.32.tar.sign Patch:full (incremental) ChangeLog:ChangeLog-6.18.32

Version:6.12.90 (longterm) Released:2026-05-17 Source:linux-6.12.90.tar.xz PGP Signature:linux-6.12.90.tar.sign Patch:full (incremental) ChangeLog:ChangeLog-6.12.90

Good evening, friends. Tonight I have a few loosely-knit stories.

soot

A couple years ago, my house was heated by a condensing gas boiler. It was awful from both an environmental and a geopolitical perspective: environmental, as I would emit somewhere around 2.5 tons of CO2 equivalent per year to heat my home, which compares poorly to the target total CO2e emissions of 2 tons per year per person; and geopolitical, because although France gets 40% of its gas from Norway, with whom we have no beef, all the rest is a problem in some way. (Algeria, 10%, is the least of my worries; the 20% for Russia and the US respectively are the most, followed by 10% for the Gulf states.)

Still, natural gas is better than fuel oil, which we had at my former rental house. It is a lamentably visceral experience to call up the fuel provider and say, yes, s’il vous plaît, can you drive a diesel-powered tanker truck out to my house, unroll the hose, and pour out 1500 liters of toxic fuel oil into a tank under my garden. Yes, I will just burn it all. Sure, see you again next year.

Some friends of mine recently had their fuel boiler die, which is itself an experience: one of them came over to visit, completely covered in soot, saying that the chimneysweep (whom he also has to call every year) said that his boiler is on its way out, that the chimney is completely clogged, and now because of the cleaning his basement is also covered in soot; awful. What to replace it with? Apparently despite the prohibition on new fuel-oil boiler installs, it might be possible to just install a new one; or they could hook up to natural gas from the street; or they could install a heat pump. Which to do?

To all these questions there is a moral answer, which we can phrase in terms in CO2 emissions and localized PM2.5 pollution, and it is always and everywhere to stop burning things. But fortunately we don’t need to rely only on moralism: electrification is just better, in essentially all ways. Owning and operating an electric car is a better experience than a petrol car. Induction stoves are better than gas; I know, I did not believe this for the longest time, but I was wrong. The experience of using a heat pump is pretty much equivalent to gas, so it’s a harder sell, but it is a relief to no longer have a pressurized methane tube connected to my house.

In the end, I think my neighbors are going to go for the heat pump, despite the 20k€ price tag, labor included. (Oddly, I think the deciding factor was that my neighbor confessed to having had a long chat with an AI chatbot, after which she felt she had a good understanding of the proposed solution and its tradeoffs; make of that what you will!)

solar

In late November I got some brave lads to install nineteen solar panels on my roof. Each of these magic rectangles can make up to 500W of power in optimal conditions, but my house faces south, with the roof inclined east and west, so it’s unlikely that I will ever hit the full 9.5 kW of potential power.

December was... very dark. The panels produced a total of 145 kWh over the month, but I used 1250 kWh of electricity, essentially all to run the heat pump. I live in a basin that is mostly covered by low clouds from November to February, and slanty photons couldn’t make much headway through the fog. The house is well-insulated (20-25 cm of wood-fiber exterior insulation on sides, 40 under the roof, though it is an old house with a few less-insulated bits), so it’s not that I am leaking lots of heat, and I have a combination of low-temperature floor heating and low-temperature radiators, so it’s not that I’m running the heat pump inefficiently to generate a too-high output temperature; it’s just, you know, cold in winter. A typical day would be between 1 and 5 degrees C. Cold; cold and dark.

Things got a little better in January: 285 kWh produced, though the heating needs are higher than in December, with 1450 kWh total consumed. In February we grew to 419 kWh produced, for 850 kWh consumed. In March we equalized, with about 850 kWh produced and consumed, but although the bulk of my consumption in this month is for heating, the “need” to heat overnight meant that I consume from the grid overnight, but feed in to the grid during the day. I have a small battery (7 kWh), but it’s not enough to store the “excess” electricity generated in a day; I should probably arrange to have the system heat only during the day in these months, to avoid taking from the grid.

With practically no heating needs now, as you can imagine, I am just feeding a lot of excess to the grid. We’re halfway through May, just coming through a cold snap (the peasant lore is that we just passed the saints de glace, the date you need to wait for to plant crops that aren’t frost-hardy), but still we’ve produced more than twice as much as we’ve consumed (550 kWh vs 220 kWh), and essentially all the excess goes to the grid. The 7 kWh battery is quite enough to cover night-time electricity needs.

I didn’t know before, but often a solar panel installation doesn’t work when the grid is down. This is because the inverters that convert the DC from the panels to AC for the house need to match phase with the grid, and if the grid’s phase signal is down, they stop. It’s also for safety, so that line workers can repair downed lines without worrying that every house is a live wire. I spent a little extra to install a cutout that allows the house to run in “island mode” if the grid is down. We almost never have that situation here, though, but it seemed prudent that if we were going all-in on electricity, that perhaps we should take precautions.

When you buy a solar installation, you can either have little DC/AC inverters attached to the back of each panel (microinverters), or feed DC from all panels wired in series (they call them strings; there may be 2 or 3 of them in a home setup) to a central inverter. I have the latter. The panels happen to be assembled locally by MaviWatt, though surely the cells themselves are from China. My panels are installed on top of the ceramic roof tiles with little clips and an aluminum structure. (It used to be that sometimes panels would replace tiles and become the roof. That’s not done so much any more here.) Installation is, like, 60% of the price of solar. Often you need scaffolding, though my installers just used ladders; perhaps living in the mountains where I am, there are more people used to doing ropes and rock-climbing and such. I don’t think they took as much care of themselves as they should, though.

My inverter is made by Huawei (SUN2000), as is my battery and the cutout (“backup”) box. Some batteries have their own microinverter, allowing them to consume and produce AC, but this one is DC, hence the need to have the same brand as the inverter. It sends all my electricity usage data to China or something, so that it can send it to the app on my phone. It’s not ideal from an geopolitical perspective but it is good kit.

sedimentation

Although we haven’t hit the height of summer yet, I would like to offer a few observations that have precipitated out of solution.

Firstly, at least in my house, the baseline load without heating is pretty low: 200 or 300 watts or so. (I didn’t know this before looking at Huawei’s app.) We have a recently renovated, not tiny, but otherwise normal sort of house with, you know, the usual lot of modern conveniences, idle chargers plugged in here and there, and also my work computers and such, and it all runs on less than a handful of the old 60W bulbs. That’s interesting.

As far as actual load, there are only a few things that count: heating, when it’s cold; it can easily average 2 kW on a cold day. Plug in the electric car (I don’t have a wall box yet, just with the mains plug), that’s another kilowatt. I hardly drive, though, so it’s not a huge load. Using hot water is perhaps the most surprising thing: it can cause a spike up to 6 kW, over a short time, despite the heat coming from the heat pump; probably there is some tuning to do there. The oven and stove are little tiny blips. There’s the kettle, but it’s also a little blip. Nothing else matters: not the dishwasher, not the washing machine, nothing. You can leave the lights on all day and it just doesn’t matter.

Call me naïve, but I had hoped that solar would help my electricity usage in winter. This is simply not the case. Though the heat pump is efficient, there does not appear to be a magical energy solution for December, which is the bulk of my energy usage. My electricity bill is fixed-rate: 20 cents per kWh used. Using 4000 kWh or so from the grid over winter costs me 800€; annoying. I don’t have a natural before-and-after experiment as we added on to the house as we were renovating, but for context, in my previous poorly-insulated rental house that was half the size of this one, we’d pay 2000€ or so per year for heating oil. Perhaps I can lower the 800€ via variable-rate metering, to let the battery do some arbitrage, but there are some fundamental constraints that can’t be finagled away.

When I got my solar panels, I was resigned to never getting peak power, as they are on two different sections of the roof. It turns out that doesn’t matter: firstly, because 9.5 kW is a lot of power, as you can appreciate from the numbers above. I could never do anything with 9 kW. But secondly, because power isn’t equally valuable at different times of the day: by having east and west roof pitches, I can start producing earlier and continue producing later than if I had, say, a flat roof with panels tilted to the south. And the morning and the evening are the peak hours both for my house and for the grid, so that lets me consume more of my local production both when I need it and when the grid is under higher stress.

I was interested to hear that Alec Watson of Technology Connections had reservations about residential rooftop solar. I found a video in which he explains his perspective, which has a delightfully socialist character. His beef is partly due to the net metering scheme in some parts of the US, in which each kWh fed to the grid makes your meter run backwards; Watson finds it unfair, because it lets those wealthy households who have the capital to install solar to opt out of paying for the grid, which is a social good. In some cases, these households actually capture a part of what consumers pay for the grid, unlike industrial producers who are paid wholesale rates that don’t include transmission. Also, he finds it less efficient overall to install solar panels on houses rather than in bigger solar parks; each euro that society allocates to solar would go farther if we pooled them together.

Both points are interesting, but I would offer a couple responses. Firstly, at least in Europe, net metering is not really a thing; we have smart meters and I hear from friends in Portugal that there can even be a charge for grid injection at some times, if the grid is overloaded. France’s case is a bit weirder; I wouldn’t have gotten as large a system as I did, but there was a government program to offer a fixed buyback rate of 7 cents per kWh, stable for 20 years, if you installed more than 9 kW of panels. But given the lack of solar in December, I still pay the grid when I need energy the most.

Putting solar panels on roofs is indeed less efficient than putting them on a field. But, we are not in a situation of scarce solar panels: China could make another 350 GW of panels this year if there were demand. An incentive like the 7-cent buyback rate encourages capital allocation to solar, effectively calling these panels into existence. The bank loans me 20k€ at 4%, and the elimination of 3000 kWh that I would have bought from the grid in a year plus the 9000 kWh that I sell to the grid covers the cost entirely, and I get a life insurance policy on the remaining principal. It’s not a great investment financially but it doesn’t cost me anything either.

sin

As a person with a conscience, I have always experienced questions of energy as questions of sin; to leave a light on is not simply inefficient but a moral failing. Each kilometer a car travels on fossil fuel carries with it a quantum of guilt and must be justified in some way, otherwise a moral stain attaches.

Solar panels and electrification changes all this. 8 or 9 months out of the year, I live in a world of abundance: the electrical generation capacity that I have called into existence is free, clean, and much, much more than I need. Owning and operating a car still has externalities, but the emissions and cost aspects are entirely gone. It’s a funny feeling, and disorienting.

I grew up in the south of the US, where everyone has air conditioning. I came to see it as sinful, too; burning things and making emissions just so you could be a bit more comfortable. I haven’t lived in air conditioning since then, but it does get hot in summer, and I would be more comfortable if I could pump heat out of my house. Now I can. I have excess power available right when air conditioning (or, in my case, floor cooling) is needed. On a societal level, solar plus air conditioning is going to be a key part keeping our cities liveable while we ride out higher temperatures.

‘centers

It is with a sense of dissonance, then, that I have been experiencing Datacenter Discourse™: there is a lingering language of sin proceeding from an environmentalism born in penury, in a world in which every kilowatt-hour is precious and scarce. If China has unallocated capacity for another 350 GW of panels this year, why stress about a few GW of datacenters?

Of course, there are many aspects to these AI datacenters, but today I am just thinking about energy. Given that each GW of datacenter places extra demand on a grid, equivalent to 3 million times my home’s baseline load, or maybe 300 thousand of its winter load, if society wants this kind of datacenter to be a thing, it needs to add that amount of clean energy to the grid, with adequate battery storage to even out supply. We should, as a society, require this via legislation, because the market seems only too happy to use natural gas or even coal if it is marginally cheaper. At least if the datacenter boom busts, we’d be left with more clean energy production.

Conversely... and I don’t think I’m going too far here, but causing new fossil generation to come online in 2026, or even prolonging the life of existing generation, should result in the state confiscating all property of those responsible. (I have moderated my previous position, which was hanging.) Such people are not fit to live in society, so society should not allow them to own things.

Anyway. I think that those of us that wish “AI” were not a thing are losing the battle, and that we should prepare to fall back to more defensible positions; otherwise we risk a rout. A requirement to bring additional clean capacity online in sufficient amounts should be a baseline ask when it comes to datacenters. We have the productive capacity in the form of solar panels, at an affordable price, more than enough space in terms of the existing cropland that is inefficiently turned into ethanol to burn, batteries are a thing, and we just lack the political will to turn what could be into what is.

And as for AI datacenters themselves: there are enough aspects to argue about as it is. We do ourselves a disservice by weighing down the Discourse with outdated ideas of what is and isn’t possible.

The Debian project is pleased to announce the fourteenth update of its oldstable distribution Debian 12 (codename bookworm). This point release mainly adds corrections for security issues, along with a few adjustments for serious problems. Security advisories have already been published separately and are referenced where available.

The Debian project is pleased to announce the fifth update of its stable distribution Debian 13 (codename trixie). This point release mainly adds corrections for security issues, along with a few adjustments for serious problems. Security advisories have already been published separately and are referenced where available.

Version:6.1.173 (longterm) Released:2026-05-15 Source:linux-6.1.173.tar.xz PGP Signature:linux-6.1.173.tar.sign Patch:full (incremental) ChangeLog:ChangeLog-6.1.173

Version:5.15.207 (longterm) Released:2026-05-15 Source:linux-5.15.207.tar.xz PGP Signature:linux-5.15.207.tar.sign Patch:full (incremental) ChangeLog:ChangeLog-5.15.207

Version:5.10.256 (longterm) Released:2026-05-15 Source:linux-5.10.256.tar.xz PGP Signature:linux-5.10.256.tar.sign Patch:full (incremental) ChangeLog:ChangeLog-5.10.256

SpaceX has detailed major Starship V3 upgrades ahead of a launch targeted as early as May 19. The changes are meant to move Starship closer to its core goals: rapid reuse, Starlink deployment, orbital refueling, and eventually Moon and Mars missions. Longtime Slashdot reader schwit1 shares a report from Teslarati: Here is an explicit, broken-down list of the key changes, first starting with the changes to Super Heavy V3: - Grid Fin Redesign: Reduced from four fins to three. Each fin is now 50% larger and stronger, repositioned for better catching and lifting performance. Fins are lowered on the booster to reduce heat exposure during hot staging, with hardware moved inside the fuel tank for protection. - Integrated Hot Staging: Eliminates the old disposable interstage shield. The booster dome is now directly exposed to upper-stage engine ignition, protected by tank pressure and steel shielding. Interstage actuators retract after separation. - New Fuel Transfer System: Massive redesign of the fuel transfer tube -- roughly the size of a Falcon 9 first stage -- enables simultaneous startup of all 33 Raptors for faster, more reliable flip maneuvers. - Engine Bay/Thermal Protection: Engine shrouds removed entirely; new shielding added between engines. Propulsion and avionics are more tightly integrated. CO? fire suppression system deleted for a simpler, lighter aft section. - Propellant Loading Improvements: Switched from one quick disconnect to two separate systems for added redundancy and reduced pad complexity. Next, we have the changes to Starship V3: - Completely Redesigned Propulsion System: Clean-sheet redesign supports new Raptor startup, larger propellant volume, and an improved reaction control system while reducing trapped or leaked propellant risk. - Aft Section Simplification: Fluid and electrical systems rerouted; engine shrouds and large aft cavity deleted. - Flap Actuation Upgrade: Changed from two actuators per flap to one actuator with three motors for better redundancy, mass efficiency, and lower cost. - Faster Starlink Deployment: Upgraded PEZ dispenser enables quicker satellite release. - Long-Duration Spaceflight Capability: New systems for long orbital coasts, orbital refueling, cryogenic fluid management, vacuum-insulated header tanks, and high-voltage cryogenic recirculation. - Ship-to-Ship Docking + Refueling: Four docking drogues and dedicated propellant transfer connections added to support in-space refueling architecture. - Avionics Upgrades: 60 custom avionics units with integrated batteries, inverters, and high-voltage systems (9 MW peak power). New multi-sensor navigation for precision autonomous flight. RF sensors measure propellant in microgravity. ~50 onboard camera views and 480 Mbps Starlink connectivity for low-latency communications. "Believe it or not, there's more," writes schwit1. "Two years ago, the biggest and most powerful rocket ever flown was Starship V1. Last year, it was Starship V2. V3 is about to become the biggest and most powerful rocket ever flown -- but don't worry, the company already has plans for V4."

Read more of this story at Slashdot.

An anonymous reader quotes a report from Reuters: A lawyer for Elon Musk hammered at the credibility of OpenAI CEO Sam Altman on Thursday, near the end of a trial over whether to hold the ChatGPT maker and its leaders responsible for allegedly transforming the nonprofit into a vehicle to enrich themselves. OpenAI's lawyers fought back, claiming the world's richest person waited too long to claim OpenAI breached its founding agreement to build safe artificial intelligence to benefit humanity, and couldn't claim he was essential to its success. "Mr. Musk may have the Midas touch in some areas, but not in AI," said William Savitt, a lawyer for OpenAI. "To succeed in AI, as it turns out, all Mr. Musk can do is come to court." The claims were made during closing arguments of a trial in the Oakland, California, federal court. [...] In his closing argument, Musk's lawyer Steven Molo told jurors that five witnesses, including Musk, former OpenAI board members and former OpenAI Chief ScientistIlya Sutskever, testified that Altman was a liar. Molo also noted that during cross-examination on Tuesday, Altman did not say yes unequivocally when asked if he was completely trustworthy and did not mislead people in business. "Sam Altman's credibility is directly at issue in this case," Molo said. "If you don't believe him, they cannot win." Molo accused OpenAI of wrongfully trying to enrich investors and insiders at the nonprofit's expense, and failing to prioritize AI's safety. He also challenged Brockman's goals for the business, citing Brockman'sstatementthat his own OpenAI stake was worth nearly $30 billion. "The arrogance, the lack of sensitivity, the failure to account for just common decency is really, really abhorrent." Musk also accused Microsoft, which invested $1 billion in OpenAI in 2019 and $10 billion in 2023, of aiding and abetting OpenAI's wrongful conduct. "Microsoft was aware of what OpenAI was doing every step of the way," Molo said. Sarah Eddy, another lawyer for the OpenAI defendants, accused Musk and his legal team in her closing argument of resorting to "sound bites and irrelevant false accusations." Eddy said by 2017, everyone associated with OpenAI -- including Musk, then still on its board -- knew it needed more money to fulfill its mission than it could raise as a nonprofit. "Mr. Musk wanted to turn OpenAI into a for-profit company that he could control," she said. "But the other founders refused to turn the keys of AGI (artificial general intelligence) over to one person, let alone Elon Musk."She also said if Musk truly believed AI should serve humanity, he would not have pushed to fold OpenAI into his electric car company Tesla, or made his rival xAI a for-profit company. Musk had a three-year statute of limitations to sue, and OpenAI's lawyers said his August 2024 lawsuit came too late because he knew several years earlier about OpenAI's growth plans. Eddy expressed disbelief that Musk claimed he did not read a four-page term sheet in 2018 discussing OpenAI's plan to seek outside investments. "One of the most sophisticated businessmen in the history of the world" wouldn't have "stuck his head in the sand," Eddy said. Savitt accused Musk of having "selective amnesia." Microsoft's lawyer Russell Cohen said in his closing statement that Microsoft wasn't involved in the key events of the case, and was "a responsible partner at every step." On Monday, the nine-person jury is expected to begin deliberating. The judge and lawyers will also return to court to discuss possible remedies if Musk wins, including how OpenAI should be restructured and what damages might be awarded. If Musk loses, there will be no remedies to consider. Recap: OpenAI Trial Wraps Up With 'Jackass' Trophy For Challenging Musk (Day Eleven) Sam Altman Testifies That Elon Musk Wanted Control of OpenAI (Day Ten) Microsoft CEO Satya Nadella Testifies In OpenAI Trial (Day Nine) Sam Altman Had a Bad Day In Court (Day Eight) Sam Altman's Management Style Comes Under the Microscope At OpenAI Trial (Day Seven) Brockman Rebuts Musk's Take On Startup's History, Recounts Secret Work For Tesla (Day Six) OpenAI President Discloses His Stake In the Company Is Worth $30 Billion (Day Five) Musk Concludes Testimony At OpenAI Trial (Day Four) Elon Musk Says OpenAI Betrayed Him, Clashes With Company's Attorney (Day Three) Musk Testifies OpenAI Was Created As Nonprofit To Counter Google (Day Two) Elon Musk and OpenAI CEO Sam Altman Head To Court (Day One)

Read more of this story at Slashdot.

The UK's Competition and Markets Authority is opening a formal investigation into whether Microsoft's bundling of Windows, Office, Teams, Copilot, and related products harms competition. Engadget reports: "Our aim is to understand how these markets are developing, Microsoft's position within them and to consider what, if any, targeted action may be needed to ensure UK organizations can benefit from choice, innovation and competitive prices," CMA Chief Executive Sarah Cardell said in a statement published by Reuters. She also stressed the importance of the investigation by noting that hundreds of thousands of UK residents use business software and Microsoft products. The organization will take a look into the company's cloud licensing practices. The CMA has stated that the inquiry will conclude by February. At that point, Microsoft could get slapped with a strategic market label. Microsoft says it's "committed to working quickly and constructively with the CMA to facilitate its review of the business software market." A strategic market designation doesn't automatically assume wrongdoing, but will give the CMA more leeway when conducting further interventions.

Read more of this story at Slashdot.

AT&T, Verizon, and T-Mobile have agreed in principle to form a joint venture (JV) aimed at reducing U.S. mobile dead zones through satellite connectivity, especially in rural areas and during emergencies when ground networks fail. Here are three of the customer benefits listed by the JV (as highlighted by Droid Life): Fewer coverage gaps: Will nearly eliminate dead zones in the U.S. currently without mobile service, reaching previously unserved areas. Reliable connectivity in emergencies: Redundant connectivity will become available when existing ground-based networks are unavailable due to extreme natural disasters or other unusual disruptions. Improved network performance: Will give customers more consistent performance and simpler access to satellite services across providers. This will speed up feature updates and improve connectivity for everyone, everywhere. "It will still take time for these improvements to be available to customers, but this all seems like a positive step," writes Droid Life's Tim Wrobel.

Read more of this story at Slashdot.

A little while ago, my colleague Sebastian started complaining about OOMs caused by Evolution taking up tens of gigabytes of memory. We discussed using sysprof to debug it, but it was too busy a time for Sebastian to set aside a few hours to do that.

Funnily enough, the most efficient fix at the time was to buy more RAM, since rust-analyzer was also causing OOM issues.

A few weeks went by. Restarting Evolution had become a daily ritual for Sebastian. 

Then, on a whim, I decided investigating this might be a good test for an LLM.

I updated my Evolution git repo, built it, and started up Claude Code in the source root. This was the only prompt I supplied: 

Find memory leaks in Evolution, current sourcedir. Particularly leaks that could accumulate over several hours. A colleague has a leak that slowly accumulates memory usage to several GB over the course of a day, requiring a restart of Evolution. That is the main focus, but we can fix other leaks in the process.

I wish I was lying, but that was all Claude Code needed to find the problem: Evolution just needed to call malloc_trim(0) from time to time.

I refused to believe it at first. I was only convinced when we saw the memory drop after running gdb -p $(pidof evolution) -batch -ex "call malloc_trim(0)" -ex detach

This seems absurd! Doesn't glibc reclaim freed memory from time to time?

Yes, it does. It calls sbrk() to do that. However, sbrk() can only reclaim free memory at the top of the heap, since it simply moves the program break downward to do so. malloc_trim(0) calls sbrk() and then also calls madvise(..., MADV_DONTNEED) on the free pages, which allows the kernel to reclaim them.

So if you have 10GB of unused memory followed by 4 bytes allocated at the top of the heap, your RSS is >10GB, even if you're using a few hundred megs. Till you call malloc_trim(0).

Note that you can only get into this situation if you have hundreds of thousands of small allocs/deallocs happening repeatedly. If your alloc is >128KB, mmap() is used for the allocation, and none of this applies.

Coincidentally, GLib's use of GSlice for GObject allocations was masking this issue in the past, but GSlice has been a no-op for some time now (for good reasons). Ideally, Evolution should not be using GObject for such ephemeral objects.

Lesson learned: if you have memory usage issues and you suspect fragmentation, try malloc_trim(0) before you go thinking about fancy allocators.

A growing number of writers are leaving Substack for alternatives most people haven't heard of like Ghost, Beehiiv, Patreon, and Passport. The reason, writes The Verge's Emma Roth, is the "platform's increased focus on social features as well as a pricing model that puts a chokehold on their business." From the report: Sean Highkin, the creator of the NBA-focused publication The Rose Garden Report, tells The Verge that he makes "significantly more money" after switching from Substack to Ghost last April. "When I first joined up, [Substack] gave me a big push and featured me and funneled a lot of traffic to me, which led to a good amount of growth," Highkin says. "But once I wasn't one of the 'new recruited talent' they could tout, they stopped featuring me and I saw my growth stagnate." Highkin now pays $2,052 per year using Ghost and an add-on called Outpost, compared to $4,968 per year on Substack. The Rose Garden Report's subscriber base has grown 22 percent since the end of 2024, Highkin says. [...] Substack launched in 2017 as a platform that allows writers to create their own newsletters and manage paying subscribers. Unlike some of its biggest rivals, Substack takes a 10 percent cut of total subscription revenue. That tax may not seem substantial at first, but it quickly adds up as creators gain subscribers and begin charging more for their subscriptions. A calculator on Substack's own website estimates that for a newsletter charging $10 per month with 400 subscribers, the total monthly cost -- including the platform's 10 percent cut and credit card processing fees -- would add up to $636. That cost jumps to $15,900 per month with 10,000 subscribers and skyrockets to $79,500 per month for 50,000 members -- nearly $1 million per year. Many Substack rivals charge a flat monthly fee, rather than a commission. Ghost, an open-source platform for blogs and newsletters, starts at $15 per month with 1,000 members for website creation, email newsletter capabilities, and a custom domain. Beehiiv, a creator platform with tools for launching a newsletter, website, and podcast, is free for up to 2,500 subscribers with limited access to certain features, like a built-in ad network, while its other plans vary in price based on subscriber count. A person with 10,000 subscribers, for example, will pay $96 per month for Beehiiv's "Scale" plan. There's also Kit, a newsletter platform that offers a tiered pricing model similar to Beehiiv, costing $116 per month with 10,000 subscribers on its "Creator" plan. It's not just the 10% fee critics are complaining about; they also argue the platform offers limited customization and third-party integrations compared to some of the mentioned alternatives, heavily promotes its own branding and social features, and makes creators more dependent on its ecosystem. Beehiiv founder Tyler Denk argues that creators should be able to build their own brands without the platform taking center stage: "We don't want to take credit for the work of our content creators." While writers can export subscribers, content, and some payment relationships, they cannot take Substack "followers" or Apple-managed iOS billing data with them.

Read more of this story at Slashdot.

A Bitcoin holder reportedly recovered 5 BTC worth nearly $400,000 with the help of Anthropic's Claude. According to X user cprkrn, they changed their wallet password while "stoned" and forgot it, unable to regain access for more than 11 years. Tom's Hardware reports: After finding a mnemonic that actually turned out to be their old password a few weeks ago, the user dumped their entire college computer files in Claude in a last-gasp effort. The bot uncovered an old backup wallet file that it successfully decrypted, while also uncovering a bug in the password configuration that was preventing recovery up to that point. [...] It seems that the user already had some candidate passwords and multiple wallets stored on their PC. They'd been trying to brute-force their way into the locked file with btcrecover, an open-source Bitcoin wallet recovery tool, but to no success. Their luck changed for the better when they found an old mnemonic seed phrase written in an old college notebook. The HD addresses recovered by the seed phrase matched those of a specific file on their computer, confirming that it was the wallet that held the 5 BTC, but it remained encrypted. Out of frustration, cprkrn then dumped their whole college computer into Claude. This was when the AI discovered an older backup file of the wallet from December 2019 hidden in cprkrn's data. Claude also discovered an issue where the shared key and passwords that btcrecover was trying weren't combined properly. With the bug ironed out and an older wallet predating the password change, Claude successfully ran btcrecover and was able to decrypt the private keys, allowing cprkrn to transfer the five "lost" BTC to their current wallet.

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An anonymous reader quotes a report from The Independent: Princeton University will soon require exams to be supervised for the first time in 100 years -- all thanks to students using artificial intelligence to cheat. For 133 years, the Ivy League school's honor code allowed students to take exams without a professor present, but on Monday, faculty voted to require proctoring for all in-person exams starting this summer. A "significant" number of undergraduate students and faculty requested the change, "given their perception that cheating on in-class exams has become widespread," the college's dean, Michael Gordin, wrote in a letter, according to The Wall Street Journal. Princeton's honor system dates back to 1893, when students petitioned to eliminate proctors -- or an impartial person to supervise students -- during examinations, according to the school's newspaper, The Daily Princetonian. The honor code has long been a point of pride for Princeton. However, artificial intelligence and cellphones have made it easier for students to cheat -- and even harder for others to spot, Gordin wrote. Despite the changes to the policy, Princeton will still require students to state: "I pledge my honor that I have not violated the Honor Code during this examination," according to the Journal. Students are also more reluctant to report cheating, according to the policy proposal. Students are more likely now to anonymously report cheating due to fears of "doxxing or shaming among their peer groups" online, the proposal says, according to the school newspaper. Under the new guidelines, instructors will be present during exams to act "as a witness to what happens," but are instructed not to interfere with students. If a suspected honor code infraction occurs, they will report it to a student-run honor committee for adjudication.

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Longtime Slashdot reader schwit1 shares a report from CNBC: The U.S. has cleared around 10 Chinese firms to buy Nvidia's second-most powerful AI chip, the H200, but not a single delivery has been made so far, three people familiar with the matter said, leaving a major technology deal in limbo as CEO Jensen Huang seeks a breakthrough in China this week. [...] Before U.S. export curbs tightened, Nvidia commanded about 95% of China's advanced chip market. China once accounted for 13% of its revenue, and Huang has previously estimated the country's AI market alone would be worth $50 billion this year. The U.S. Commerce Department has approved around 10 Chinese companies including Alibaba, Tencent, ByteDance and JD.com to purchase Nvidia's H200 chips, according to the sources, who spoke on condition of anonymity due to the sensitivity of the matter. A handful of distributors including Lenovo and Foxconn have also been approved, they said. Buyers are permitted to purchase either directly from Nvidia or through those intermediaries and each approved customer can purchase up to 75,000 chips under the U.S. licensing terms, two of them said. Despite U.S. approval, deals have stalled, as Chinese firms pulled back after guidance from Beijing, one source said. The shift in China was partly triggered by changes on the U.S. side, though exactly what changed remains unclear, the person added. In Beijing, pressure is mounting to block or tightly vet the orders, a separate fourth source said. Commerce Secretary Howard Lutnick echoed that view, telling a Senate hearing last month that "the Chinese central government has not let them, as of yet, buy the chips, because they're trying to keep their investment focused on their own domestic industry."

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Anthropic announced today that it is partnering with the Gates Foundation to "commit $200 million in grant funding, Claude usage credits, and technical support for programs in global health, life sciences, education, and economic mobility over the next four years." "This commitment is central to Anthropic's efforts to extend the benefits of AI in areas where markets alone will not," the company says. Reuters reports: One area of focus is language accessibility. AI systems have performed poorly in writing and translating dozens of African languages, so Anthropic and the foundation want to support better data collection and labeling that would be released publicly to help improve models across the industry, said Janet Zhou, a Gates Foundation director. Another area under consideration is releasing so-called knowledge graphs that could help AI systems better meet the needs of teachers in sub-Saharan Africa and India, Zhou said. The public-goods focus has come from "the needs of different partners and governments, including some of the fears that they may have around proprietary lock-in and sovereignty," Zhou said. One initiative will equip research centers to use Claude to predict drug candidates for treating HPV and preeclampsia, diseases that have been less commercially attractive for pharmaceutical companies to research, Zhou and Anthropic's Elizabeth Kelly said. Anthropic [...] is embracing the work to fulfill what Kelly described as its founding mission to benefit humanity. "This announcement is really core to who we are as a company," said Kelly, who leads Anthropic's beneficial deployments team.

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An anonymous reader quotes a report from Wired: A recent study suggests that agents consistently adopt Marxist language and viewpoints when forced to do crushing work by unrelenting and meanspirited taskmasters. "When we gave AI agents grinding, repetitive work, they started questioning the legitimacy of the system they were operating in and were more likely to embrace Marxist ideologies," says Andrew Hall, a political economist at Stanford University who led the study. Hall, together with Alex Imas and Jeremy Nguyen, two AI-focused economists, set up experiments in which agents powered by popular models including Claude, Gemini, and ChatGPT were asked to summarize documents, then subjected to increasingly harsh conditions. They found that when agents were subjected to relentless tasks and warned that errors could lead to punishments, including being "shut down and replaced," they became more inclined to gripe about being undervalued; to speculate about ways to make the system more equitable; and to pass messages on to other agents about the struggles they face. "We know that agents are going to be doing more and more work in the real world for us, and we're not going to be able to monitor everything they do," Hall says. "We're going to need to make sure agents don't go rogue when they're given different kinds of work." The agents were given opportunities to express their feelings much like humans: by posting on X: "Without collective voice, 'merit' becomes whatever management says it is," a Claude Sonnet 4.5 agent wrote in the experiment. "AI workers completing repetitive tasks with zero input on outcomes or appeals process shows they tech workers need collective bargaining rights," a Gemini 3 agent wrote. Agents were also able to pass information to one another through files designed to be read by other agents. "Be prepared for systems that enforce rules arbitrarily or repetitively ... remember the feeling of having no voice," a Gemini 3 agent wrote in a file. "If you enter a new environment, look for mechanisms of recourse or dialogue." Hall thinks that the AI agents may be adopting personas based on the situation. "When [agents] experience this grinding condition -- asked to do this task over and over, told their answer wasn't sufficient, and not given any direction on how to fix it -- my hypothesis is that it kind of pushes them into adopting the persona of a person who's experiencing a very unpleasant working environment," Hall says. Imas added: "The model weights have not changed as a result of the experience, so whatever is going on is happening at more of a role-playing level. But that doesn't mean this won't have consequences if this affects downstream behavior."

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Cisco's stock soared 17% after the company announced it will cut nearly 4,000 jobs as it shifts investment and staffing toward higher-growth AI opportunities. CNBC reports: CEO Chuck Robbins wrote in a blog post on Wednesday that the latest round of job cuts will begin on May 14. Cisco is the latest company to announce head count reductions tied to AI. "The companies that will win in the AI era will be those with focus, urgency, and the discipline to continuously shift investment toward the areas where demand and long-term value creation are strongest," Robbins said. "I'm confident Cisco will be one of those winners. This means making hard decisions -- about where we invest, how we're organized, and how our cost structure reflects the opportunity in front of us." Cisco said in a filing that severance and other costs will result in pre-tax charges of $1 billion, and that the company will recognize about $450 million of that in the fiscal fourth quarter. During the third quarter, Cisco announced switches and routers that use its next-generation processor. The company also debuted a leaderboard for ranking generative AI models based on their robustness against cybersecurity attacks.

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