Trump White House aides see almost no paths to Republicans keeping control of the House in the midterm elections and are more focused on redoubling their efforts to save the Senate majority.

That has been the takeaway for officials in GOP groups who have been discussing the state of play with White House aides in recent weeks, according to three sources familiar with the situation.

It all comes as the White House moves into damage-control mode after contemplating for the first time earlier this month, as Inner Loop previously reported, that Republicans could possibly lose both chambers of Congress.

The general expectation is that the House has become a lost cause. Races that Republican congressional leadership once thought they could flip in order to offset Democratic gains are no longer considered attainable.

The Congressional Leadership Fund, the super PAC aligned with Speaker Mike Johnson, has now pulled ad buys in Democratic districts in Michigan and Ohio they were hoping to flip, as well as in the Republican seat being vacated in Nebraska by the retiring Don Bacon. The fund also started canceling remaining ad reservations in two House races where Republicans are seeking reelection in New Jersey and Iowa.

White House aides have shifted their focus to pushing an all-out defense of the Senate majority, which is also looking problematic but to a lesser degree than the House, the sources say. (Polling models and prediction markets agree.)

The aides see the Senate as still in play in large part because early returns for mail ballots have been relatively strong and comparable to 2024 presidential election levels in key Senate battleground states, sources say.

Trump officials at MAGA Inc. have also privately discussed how if Republicans can win some combination of senate seats in Alaska, Iowa, and Ohio, that would form a firewall that complicates Democrats’ path to snatching control of the Senate.

Still, Trump officials appear to have conceded they are unlikely to win in North Carolina. Senate Republicans’ campaign arm has paused ad spending in North Carolina since the start of October, mirroring pullbacks by other outside groups.

“President Trump is committed to maintaining Republican majorities in both the House and Senate,” says White House spokesperson Liz Huston in a statement.

The state of play—retreating from a state like North Carolina, where Michael Whatley, a former Republican National Committee chair is on the ballot—would have been unthinkable just a few months ago.

“AI agents give attackers a fresh set of connections to walk across,” Douglas McKee, director of vulnerability intelligence at Rapid7, told Ars. “Someone plants text in content, an agent will read it then pass it along to another agent as a normal delegated task, and that second agent runs it because it trusts whoever handed it the work. Every piece in that chain did exactly what it was designed to do, which is what makes this so tricky to catch. Each protocol was built assuming it lived on its own, so each one checks its own front door while nobody watches the hallway in between.”

CVE-2026-97228, the vulnerability Syed found in Rapid7’s network, carried a severity rating of only 2.7 out of 10. Rapid7 fixed it last month.

The vulnerability affecting Google was more severe, with a rating of 8. It stemmed from an MCP toolbox for databases (googleapis/mcp-toolbox) initializing its HTTP client with no use of a CheckRedirect policy, a series of settings that control how a server is to handle cases of a URL either returning an error or redirecting to a different URL. Google’s HTTP client also failed to validate target IP addresses.

“A crafted path parameter could make the toolbox follow a redirect to an internal endpoint and send requests on the attacker’s behalf,” Syed explained. Google’s fix involved applying an allow-list of IP ranges and block lists. “It rejects an unsafe base URL at startup instead of on first request. That is what a real SSRF guard looks like. It is also more work than most MCP servers have done.”

Syed is calling the class of attack “protocol pivoting,” because the exploits work when an app or server uses MCP to assign a task to an agent and the agent then forwards malicious instructions to another agent using a different communication method, like Google’s Agent-to-Agent (A2A) protocol, used for inter-agent delegation, or emerging standards like the Agent Network Protocol. Often, he says, trust or authorization gets effectively lost in translation. He described protocol pivoting as “a multi-step attack in which an adversary gains initial access through one protocol, exploits trust assumptions between protocols, and escalates to capabilities only accessible via a different protocol.”

Deezer wants to give you a direct way to say no to AI-generated songs cluttering your feed. The music streaming platform has announced a new toggle feature that will let users exclude fully AI-generated tracks, albums, and related artists from search results. The feature is set to roll out globally before the end of 2026, and you can always flip the toggle if you change your mind.

How will Deezer’s AI music filter work?

Deezer’s new toggle will only target content that is fully AI generated, and not those songs where AI played a limited role along with human creative process. So a music artist who uses AI to assist with part of a production would not automatically fall into the same category as a track generated entirely by artificial intelligence.

CEO Alexis Lanternier says the company has seen clear demand from listeners who want more control over what they hear. The need arises as AI-generated music continues to flood streaming platforms. Earlier this year, Deezer revealed that AI-generated songs accounted for 44% of its daily music uploads, highlighting the growing scale of the problem.

A survey conducted by Deezer and Ipsos showed that nearly half of respondents wanted the option to filter out fully AI-generated music. The same survey also found that 97% of participants couldn’t tell AI-generated songs apart from human-made ones in a blind test, and 80% wanted clearer labeling.

How does Deezer already identify AI-generated music?

Deezer has been detecting AI-generated songs on its own platform since 2025. In June 2026, it expanded those efforts by launching a free online AI music detector that scans playlists across 20 major streaming platforms.

The company is also licensing its detection technology to other streaming services, hoping to help the wider industry fight back against the flood of synthetic music before it gets worse. Deezer says its detection system has helped it exclude more than 42 million AI-generated tracks from recommendations and tag over 14 million albums.

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Every time a turntable is announced, there’s a remark about the ‘vinyl renaissance’, and sure vinyl is back on vogue but there’s been much chatter about customers who only buy just the vinyl. But of course, to listen to it, you need something to play on.

We’ve seen Sony re-enter the vinyl player market with its two excellent options, and now Cambridge Audio has made a return with Spira.

The London-based brand is pushing the new turntable as being “everything you need straight out of the box”, with an Audio-Technica cartridge pre-fitted and aligned so you don’t have to mess about with that. A built-in phono stage that reduces the need for external amplification and Bluetooth support that allows you to fling the sound of your vinyl to your wireless headphones or Bluetooth speakers.

But if you want to make adjustments, you are able to. The head shell can be removed, making it easier to replace the cartridge (Cambridge recommends Audio-Technica’s 3600LE) if you want to improve the tracking, and if you feel as if you can get better sound through an external phono stage, Cambridge has a few in either the Alva Solo and Alva Duo.

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The aluminium alloy tonearm features an adjustable counterweight and anti-skate, with the chassis of the Spira built around a solid wooden plinth to reduce vibrations. A felt and vibration-absorbing feet help to keep any rumbles from affecting the signal. And if you want to protect your records from dust as they’re playing (you’ll be surprised as to how much dust gets picked up), an hinged dust cover is included.

Record speeds include 33.3 and 45RPM, and the Spira comes in a variety of colours to match your space (black, white, blue, green and orange), matching Cambridge’s own L/R speakers if you want to pair the Spira with those wireless speakers.

The Cambridge Audio Spira is available now, with pricing at £329 / €349 / $499. Is it good enough to make it to our best turntable list? Hopefully we can get a review sample in and find out.

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The company has proposed the closure of RedLynx and culled dozens of jobs at Skull and Bones developer Ubisoft Singapore.

What are we gonna do about the deluge of AI music slopping up all of our streaming platforms? Deezer has an idea. It’s adding a toggle to filter out AI-generated tracks. This simple on/off switch will be available on the app by the end of the year.

“We’ve seen a clear user demand for the ability to filter out AI-generated music,” said CEO Alexis Lanternier. “We are now giving everyone the option to remove this content completely from their streaming experience on Deezer, and focus only on human creators and creations, if they wish.”

Do you want to avoid fully AI-generated music completely in your streaming experience? Today, we’re announcing a new toggle for music fans who want to do just that. https://t.co/XjhljXFJPb#Deezer @Deezer

— Deezer News (@DeezerNews) October 13, 2026

I have a feeling many people most definitely wish to focus only on human creators. I know I do. Deezer conducted its own study that suggested nearly half of all music streaming users would like to see AI-generated music completely gone from their feeds. NPR recently reported on a study that indicated that listeners have soured on AI-generated music, and that only gets worse the more these platforms become flooded with slop.

And, boy oh boy, have these platforms become flooded. Deezer reported last year that around 18 percent of tracks uploaded to the app were AI-generated. That number has since risen to more than 50 percent. The company says that 90,000 fully generated tracks get uploaded each day, which has added up to more than 42 million slop songs.

These “artists” are playing a numbers game in the hopes that one of the hundreds of tracks they upload every day will catch on in some capacity and, in turn, they’ll get paid. There’s also the matter of fraud. The platform has reported that up to 85 percent of all streams generated by AI-generated songs were fraudulent.

Deezer is perfectly positioned for this kind of feature. It launched one of the industry’s first AI music detection tools, which it has since offered to loan out to rival streaming platforms. The toggle is the natural next step here. The detection system isn’t foolproof but the company says any risk of a false positive is “very low.”

As for these other platforms, YouTube Music just launched a label that will accompany AI-generated tracks. Spotify does something similar on AI artist pages.

CDs were supposed to be finished, vinyl was supposed to be a fad, and streaming was supposed to make owning music unnecessary. The latest RIAA numbers tell a very different story. In this episode, eCoustics Editor-in-Chief Ian White joins Podcast Producer Mitch Anderson to unpack why U.S. CD revenue surged 58.6% in the first half of 2026, vinyl revenue climbed another 17.7%, and physical music revenue overall jumped 25.9%. They also dig into why Gen Z is buying physical media, rising vinyl prices, the resurgence of used CDs, collectibility, ownership, and why listeners are still spending money on records and discs when nearly everything is available to stream.

Sponsor: Thank you SVS for sponsoring this episode

This episode was recorded on October 9, 2026.

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Humanoid robots have begun to show real capability in ball sports, but preserving a professional athlete’s motion style while maintaining reliable task performance is still an unresolved problem. This guide examines an adaptive motion planning and tracking framework that learns tennis serving and rally styles directly from broadcast video and motion-capture data. A hierarchical design separates a planner, which generates stylistic kinematic motion, from a tracker, which executes that motion with minimal interference. Because tracking performance inevitably degrades when a policy trained in simulation moves to physical hardware, the framework trains its tracker on randomized execution speeds and conditions its planner on a learned motion-speed representation, reducing the compounding errors introduced by autoregressive planning and noisy perception. The paper documents real-world validation on a research humanoid platform and transfer to a full-size humanoid robot, including serving in an uncontrolled environment without motion capture, and closes with practical, transferable lessons for engineers building future humanoid ball-sports systems.

This finding was the starting point for further research that asked: Would it be possible for small models to create self-replicating infections that run themselves on IoT devices the way traditional IoT worms, like Mirai, install DDoS code and other payloads? Unlike Mirai, these AI worms could pose a much higher threat, since the models could tailor exploits and payloads dynamically, depending on the target. Once such an infection chain began, it might also be harder for defenders to stop it.

“Such an ‘AI worm’ could carry its model weights with it as it reproduces (or re-download them from a public hub), and then run inference directly on compromised hardware,” Anthropic said. “Effectively, the weights would become part of the malware payload.”

Anthropic called these autonomous worms small weight-based replicators. The models ran agents that had access to common exploitation tools, like reverse shells. The flow of the attacks was (1) finding targets, (2) gaining code execution, (3) establishing inference, and (4) propagating to new hosts. A key benefit over traditional worms is what Anthropic said is the agents’ ability to learn on the job. Each time an AI replicator fails to compromise a specific platform device, it can leave a list of prompts, code, and notes to future replicators so they don’t waste time reusing the same ineffective steps.

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Anthropic said the dynamic inference setup is the least studied and likely most challenging stage in the replication cycle. It requires a long sequence of decisions based on the specific hardware and software of each target and involves selecting compatible inference software, installing dependencies, and debugging platform-specific bugs.

“These steps are serially dependent, and failures are difficult to recover from,” Anthropic said.

The experiment shows that small models are becoming increasingly capable at solving those problems autonomously. At the moment, however, none of the light-weight models tested are able to mount end-to-end replication, meaning discovering new devices, using an exploit to gain access to them, infecting them with a payload, configuring an inference server, and repeating the process. The process is also painfully slow; Gemma4-26B-A4B, distributed over the 15 Android TV boxes, performed at just 0.39 tokens per second. That translates to a full-inference setup time of 71 to 150 hours for an unoptimized Gemma4-26B-A4B and 29 to 51 hours for Qwen3.5-9B. (The researchers said that the large model GLM-5.2 appears to be able to do so reliably.)

The climate just got its annual checkup, and the results aren’t looking so hot.

“If Earth were a patient coming in for an annual physical, I would say its condition is serious and getting worse,” Oregon State University researcher Bill Ripple says.

Ripple is the lead author of a new paper chronicling the state of the climate, published on Wednesday in BioScience. The findings show that seven of the 16 planetary vital signs tracked by the researchers have never been in a more extreme state.

That includes the amount of carbon dioxide in the atmosphere, which is 50 percent higher than preindustrial levels due to burning fossil fuels, as well as symptoms of burning all that oil, coal, and gas. Greenland and Antarctic ice sheets have shrunk to record lows, while ocean heat has soared to record highs.

Climate change has already quickened the pace of warming from about 0.05 degrees Celsius per decade from 1880 through 1970 to 0.36 degrees Celsius per decade since 2010, according to the analysis. While the global average temperature, including land, isn’t at a record extreme, that may change by the end of the year as El Niño strengthens. The natural climate pattern is characterized by a hotter-than-normal Pacific Ocean, but it also boosts global heat levels by pouring more energy into the atmosphere. This year’s El Niño is shaping up to be one for the record books.

“A strong El Niño could temporarily push global temperatures even higher, while bringing additional heat and drought to vulnerable regions,” says Ripple. He adds that “El Niño is a natural phenomenon, but it’s now occurring on top of a much warmer planet. That makes its impacts potentially more dangerous.”

Of particular concern are ecosystems such as coral reefs and tropical forests. The spread of ocean heat is likely to fuel a mass coral die-off, known as coral bleaching. With each successive wave of bleaching, reefs become less resilient. Corals are among the ecosystems most threatened by climate change; if the planet warms beyond 1.5 degrees Celsius, most of the world’s coral will be unlikely to survive.

Tropical forests also face pressure from El Niño. This is especially true of the Amazon, which tends to see dry weather during this climate pattern. The timing couldn’t be more dire: The region, dubbed “the world’s lungs,” is already under intense pressure from logging and mining interests and the possible return of a right-wing government in Brazil that prioritizes extraction and land clearing over conservation.

The new report also warns that the Amazon is among the ecosystems at risk of crossing a tipping point—that is, reaching a threshold where it shifts from a tropical rainforest into something more resembling savanna. It’s highly unlikely that crossing that tipping point is imminent, let alone something that will happen this year. But this year’s blast of El Niño–influenced weather will edge it closer.

“Warming, drought, and deforestation could push the Amazon toward widespread forest degradation,” Ripple says. “My concern is that these changes could interact, making them increasingly difficult to stop.”

The report is an avalanche of bad news for the climate, though it does note that carbon-free forms of energy are playing a bigger role in the power grid. The report calls it a sign we’re in the “Age of Electricity.” Despite that, annual greenhouse gas emissions are at record highs. In other words, the world is still smoking a pack a day, even at the risk of losing a lung.

“There are some encouraging signs, especially the growth of renewable energy, but they aren’t yet enough to reverse the overall deterioration,” Ripple says. “The climate emergency is not something waiting for us in the future. We are already living through it.”