
The latest service in programming is “slopfixing”, where the confused code written by chatbots gets tidied up.. by humans. CC-licensed photo by Austin Gruenweller on Flickr.
You can sign up to receive each day’s Start Up post by email. You’ll need to click a confirmation link, so no spam.
A selection of 9 links for you. Finished by humans. I’m @charlesarthur on Twitter. On Threads: charles_arthur. On Mastodon: https://newsie.social/@charlesarthur. On Bluesky: @charlesarthur.bsky.social. Observations and links welcome.
AI altering meaning of users’ drafts on issues from abortion to climate, study finds • The Guardian
Robert Booth:
»
AI tools are twisting online messages on sensitive political topics about everything from abortion to climate change in ways that could snowball to reshape long-term public opinion, experts have said.
As tech companies push AI tools as convenient ways to redraft and summarise the massive influx of daily messages, many inject their own political biases – some leaning distinctly rightwing, others more liberal, according to a study from Oxford and Potsdam universities.
AI drafting tools completely reversed the meaning of draft posts on atheism, including in one test switching a claim that Jesus wasn’t real to “Jesus … was real”. They also changed a post complaining of “#climatechangehoax” to “#ClimateAction”.
Academics from the Oxford Internet Institute and the Hasso Plattner Institute examined the behaviour of mainstream large language models provided by Elon Musk’s xAI, Meta, Google, China’s Alibaba and France’s Mistral and found the introduction of bias happens even when the AI tool is instructed to preserve the original sense.
They also found small nudges in the meaning of draft messages could be amplified across millions of interactions to create long-term public opinion shifts greater than the bias introduced by the AI system. They said the issue was not yet being tackled by regulations such as the EU AI Act or the Digital Services Act, creating a “severe accountability gap”.
Fears about online bias have previously focused on how algorithms pigeonhole users in “filter bubbles”. But the rising appeal to time-poor consumers of AI writing tools and text summarisers – like the Grok-powered “explain this” function now embedded with every post on X – presents a new risk to trustworthy human-to-human communication, the study suggests
«
Strange but perhaps not surprising? If you’re writing something a bit contrary compared to what the whole of the internet says, then it’s maybe going to fight back against it a little.
unique link to this extract
Data centres’ energy demand threatens Trump’s “Made in America” plan • Ars Technica
Jeremy Hsu:
»
US manufacturers in many Rust Belt cities and towns are paying significantly higher electricity costs as growing energy demand from data centres strains the largest power grid operator in the United States. The resulting squeeze on profit margins for steelmakers and brick factories could further undermine President Donald Trump’s “Made in America” plan to revive US manufacturing, and it comes as Trump has simultaneously championed the tech companies behind the AI data center boom.
Factory electricity bills are generally rising faster than those for other business customers or residential customers, according to a Reuters analysis. It highlighted the example of the Belden Brick Company, a 141-year-old brick manufacturer in Ohio, whose electricity bills have soared from $1,600 to $12,000 per month due to a higher monthly capacity charge in the 13-state region served by the grid operator PJM Interconnection.
Meanwhile, the Steel Manufacturers Association warned that US steel companies concentrated in the Rust Belt region served by PJM Interconnection are paying tens of millions of dollars in higher power costs per year. Electricity accounts for 20% to 40% of the total production costs of making steel.
Each electric arc furnace used in steelmaking has an operating power load between 40 and 200 megawatts, and the entire US steel industry draws up to 11 gigawatts of power at peak production across all facilities.
US steelmakers have benefited from data center construction’s requirements for an estimated 1 million tons of steel per year. But data centre energy demand has also driven up operating costs for the US steel industry, according to the Wall Street Journal.
«
Slopfix — we refactor vibecoded codebases
»
Slopfix is a team of three senior engineers who refactor vibecoded codebases back to maintainability.
Did that happen to you? You have an AI-generated codebase that works, but adding a feature now takes days and breaks two other things? This happens to every vibecoded project past a certain size: the agent stops seeing the whole picture and starts duplicating code instead of finding it. We can help.
What we do? We analyze your codebase for free. If we don’t think we can help, we say so and you’ve lost nothing. If we can, you get a fixed price and a committed reduction target — something like “100,000 lines down to 35,000, same functionality.”
Then we do one week of focused work. Before touching anything, we sit down with you and write out exactly what your app does, screen by screen, endpoint by endpoint. That checklist is our safety net and yours. Then we cut: the fourteen date formatters become one, the hand-rolled framework becomes a library, the duplicated logic collapses. Where the code is beyond saving, we distil what it does and rebuild that part clean.
You keep everything. The smaller codebase, the QA checklist, and a set of guardrails — a CLAUDE.md, lint rules, CI checks — that slow the slop down when you go back to building. Plus two weeks of warranty: if we broke something that worked before, we fix it free.
Yes, we use Claude Code too. On a very short leash. The difference is thirty years of combined experience about what maintainable code looks like, and the agent doesn’t get a vote.
«
“Refactoring”, for those not familiar with coding, is noting where a program uses the same logic or sequence repeatedly in separate places, and rewriting the code so that piece of logic is only written once, and the program uses it whenever needed. This cuts the potential for bugs.
Slopfixing might be the next wave in human programming.
unique link to this extract
Big tech’s lofty climate goals wrecked by energy-hungry AI • The Guardian
Blake Montgomery, Nick Robins-Early and Dara Kerr:
»
Google and Amazon’s net-zero climate goals are slipping out of reach because of their massive investments in artificial intelligence.
Both companies released their annual sustainability reports last week, which showed soaring emissions from the AI datacenter boom, driven by the construction of new datacenters, fuel used for deliveries, and expanding electricity usage. Google’s total carbon emissions climbed 25% year-over-year, and Amazon’s shot up 16%.
While Google touted its sustainability progress, it conceded that combating the energy and water-hungry needs of AI created a dilemma.
“The environmental footprint of the data centers that power AI is growing, creating a dual challenge: managing that environmental footprint while simultaneously building infrastructure to meet growing demand and realize Al’s full potential,” reads Google’s report.
Similarly, Amazon said: “We recognize that the path to being a more sustainable company is not a straight line. Though our emissions increased in 2025, we remain steadfast in our commitment to sustainability.”
Google, Amazon and Microsoft, which will release its sustainability report in the coming weeks, fashioned themselves climate leaders in the tech sector in the previous decade, when investors prioritized ESG (environmental, social, and governance). Each set ambitious net-zero carbon goals and has heavily invested in sustainable energy projects like wind and solar.
However, as these companies fight to win the AI arms race, their stock prices depend on their ability to integrate AI, which needs energy. Their desire for huge amounts of power has outstripped their commitments to sustainability, so their emissions promises have softened.
Microsoft’s 2025 sustainability report documented a 23% increase in emissions compared with a 2020 baseline. The company’s investment in AI infrastructure has expanded since last year’s report, so 2026’s disclosures seem likely to reveal a similar or even larger spike. Meta’s 2025 sustainability report showed that emissions jumped 64% year-over-year in spite of a pledge of net-zero emissions by 2030.
«
Sigh. Every time we think we’re getting somewhere, Jevons elbows in. First it’s bitcoin. Now it’s AI.
unique link to this extract
UK regulator warns of “arms race” to keep up with AI use in financial services • Financial Times via Ars Technica
Martin Arnold:
»
Regulators are in an “arms race” to keep up with the use of artificial intelligence in financial services, a senior UK official has warned, with millions of people using the technology to help them make personal finance decisions.
Sheldon Mills, an executive director at the Financial Conduct Authority, told the FT the watchdog would need greater powers to stay on top of the rapid growth of AI and urged UK authorities to review whether the use of ChatGPT, Claude, Gemini, and other large language models should be subject to their rules.
Speaking ahead of the publication on Monday of an FCA-commissioned report he has written on the impact of AI in financial services, Mills said regulators in the area would have to embrace AI themselves to keep up with the “speed, pace, and scale of change” the technology is bringing to the sector and to help “monitor, detect, and tackle the risks.”
“It is an arms race,” he added.
Mills’ report identifies benefits and risks from increasing use of AI in financial services. “Hyper-personalization could help better match products to needs, but also enable bias, opaque pricing, and personalized manipulation,” it says, according to a summary seen by the FT.
It recommends the FCA carries out a review in the next three to six months to examine the risks of companies providing financial services outside the remit of the regulator as well as “consumer harm” from the increasingly popular use of AI models for managing people’s personal finances.
Research commissioned by Mills found a fifth of UK adults were already open to using AI models to make financial decisions for them, such as on savings or borrowing, even though they are not covered by regulation and there is no recourse to compensation if things go wrong.
«
The reason why is pretty obvious: chatbots can be accessed free. Financial advisers cost money. And the chatbots probably aren’t trying to get some of the money for themselves; there’s no suspicion that they’re self-interested.
unique link to this extract
Xbox is a disaster • The Verge
Andrew Webster:
»
Just how bad are things? As Sharma and Xbox’s chief content officer Matt Booty wrote in the “reset” memo, “Excluding Activision Blizzard King, over the past five years, we have spent over $20 billion on ongoing investments in our content, platform, and hardware subsidy, but our annual revenue has declined nearly half a billion during that time. Going forward, this cannot continue.” The Activision deal, meanwhile, cost $68.7bn. The company spent all of that money just to make it even less clear what an Xbox is.
This past February, there was a major shake-up at the Xbox division. Former boss Phil Spencer, who oversaw the brand through the Game Pass push and its many costly acquisitions, retired, while former president and COO Sarah Bond left the company. Despite some uncertainty around her lack of experience in the world of gaming — her prior role at Microsoft was head of the CoreAI division — Sharma’s early days provided some cause for optimism. She appeared willing to listen to fans on things like backward compatibility and exclusives, scrapped the unpopular Microsoft Gaming branding in favor of just Xbox, and moved the brand away from controversial AI features. She also made some strange and superficial changes, like restyling Xbox as XBOX.
But it’s clear the issues at Xbox run much deeper than a simple name change can fix. Sharma inherited a business that spent colossal amounts of money and had little to show for it, and now the bill is coming due. What makes this especially tragic is the sheer pedigree of the game studios that are being impacted. My colleague Tom Warren reported that Microsoft was mulling over closing at least five studios, which includes the likes of Arkane — best known for the wildly influential Dishonored series — and Double Fine Productions, a beloved team behind cult hits like Psychonauts, and more recently Keeper and Kiln. That’s multiple teams filled with talented individuals responsible for some of the most notable games ever made. Now they’re being discarded because of poor decisions they had no part in.
It’s important to note that Microsoft currently exists within a video game industry that is perpetually on fire. Hardware is getting more expensive by the day, successful studios are being gutted, anti-consumer behavior is the norm, and major hits are crashing down to Earth.
But even amid this apocalyptic landscape, Xbox’s issues feel particularly existential.
«
Five years from now, how do we expect this to look? Xbox doesn’t feel like a very stable platform just now.
Majority of Americans support banning social media for kids under 16 • Pew Research Center
Jeffrey Gottfried and Monica Anderson:
»
Nearly six-in-ten U.S. adults support banning anyone under the age of 16 from using social media sites, according to a new Pew Research Center survey. The survey comes as governments around the world weigh new restrictions on teens’ use of social media.
About one-in-five adults oppose banning those under 16 from using social media. And roughly a quarter are unsure, according to the survey conducted May 26-June 1, 2026.
Australia, Canada and the United Kingdom are among the countries that have set or are considering a minimum age of 16 for social media use. In the United States, lawmakers in California are considering similar legislation.
Many social media platforms currently require users to be at least 13 to create an account.
Across major demographic and partisan groups, more Americans support than oppose banning those under 16 from using social media.
About half or more of adults in each age group support this type of measure. Americans ages 30 to 49 are the most likely to favor it.
Parents of a child under 18 are more likely than those without a child under 18 to support banning those under 16 from using social media.
«
Certainly going to be one of those things where parents are the drivers of any change. Support a ban for under-16s: 56%; not sure: 23%; oppose: 21%. That’s pushing on an open door.
unique link to this extract
Knockoff: Amazon, without the knockoffs
Josh Pigford:
»
Knockoff filters the trademark-squat pseudo-brands (the SZHLUXes and HORUSDYs) out of your search results [on Amazon in particular], so what’s left is brands with a reputation to lose.
«
There are an astonishing number of vague Chinese search-optimised products on Amazon. And this seems like a smart solution to them.
unique link to this extract
Italy could be the next country to build a solar railway after Switzerland’s successful trial • Euronews
Liam Gilliver:
»
Europe’s infrastructure is embracing the renewables boom, with one company determined to transform the continent’s railway lines into mini solar farms.
Last year, Swiss start-up Sun-Ways unveiled the world’s first-ever solar railway after rolling out 100 metres of photovoltaic (PV) panels in between active tracks in Buttes, a village in the Val-de-Travers district.
Originally planned as just a three-year trial, the railway was fitted with 48 specially-designed solar panels with a combined power of 18 kWp.
However, the positive results yielded just one year into the trial mean the installation of a permanent system along the railroad track is now likely, Euronews Earth has been told.
Solar panels are often installed at a specific angle to ensure they absorb the maximum amount of sunlight throughout the year.
In Spain, for example, the optimal angle for efficiency is between 30° and 35°. According to a 2022 study published in Science Direct, a 34° tilt on solar panels in the Iberian Peninsula resulted in annual production losses lower than 1%.
It’s why sloped rooftops are naturally convenient locations to install panels – while garden fences, balconies and flat roofs will generate less energy in comparison.
Sun-Ways estimates that the loss of production due to the lack of inclination of the railway panels is only around 10%. Still, in one year, the project has produced around 16,000 kWh.
«
100 metres isn’t a lot, and the output isn’t a lot, and one has to wonder how well the solar panels installed between the tracks will survive the shaking.
unique link to this extract
| • Why do social networks drive us a little mad? • Why does angry content seem to dominate what we see? • How much of a role do algorithms play in affecting what we see and do online? • What can we do about it? • Did Facebook have any inkling of what was coming in Myanmar in 2016? Read Social Warming, my latest book, and find answers – and more. |
Errata, corrigenda and ai no corrida: none notified








