Now the likes of the GoPro Hero 13 Black and GoPro MAX 2, are considered amongst the best action cameras available, and largely dominate the market. And despite rumors that the company intends to kill off the Hero Black range, GoPro has dismissed the speculation. In other words, the GoPro family seemingly has a bright future ahead. In fact, as I completed this review, GoPro announced the next generation GP3 processor which will power a new wave of GoPros for 2026 and beyond.

As models get smarter and more capable, the “harnesses” around them must also evolve.

This “harness engineering” is an extension of context engineering, says LangChain co-founder and CEO Harrison Chase in a new VentureBeat Beyond the Pilot podcast episode. Whereas traditional AI harnesses have tended to constrain models from running in loops and calling tools, harnesses specifically built for AI agents allow them to interact more independently and effectively perform long-running tasks.

Chase also weighed in on OpenAI’s acquisition of OpenClaw, arguing that its viral success came down to a willingness to “let it rip” in ways that no major lab would — and questioning whether the acquisition actually gets OpenAI closer to a safe enterprise version of the product.

“The trend in harnesses is to actually give the large language model (LLM) itself more control over context engineering, letting it decide what it sees and what it doesn’t see,” Chase says. “Now, this idea of a long-running, more autonomous assistant is viable.”

Tracking progress and maintaining coherence

While the concept of allowing LLMs to run in a loop and call tools seems relatively simple, it’s difficult to pull off reliably, Chase noted. For a while, models were “below the threshold of usefulness” and simply couldn’t run in a loop, so devs used graphs and wrote chains to get around that. Chase pointed to AutoGPT — once the fastest-growing GitHub project ever — as a cautionary example: same architecture as today’s top agents, but the models weren’t good enough yet to run reliably in a loop, so it faded fast.

But as LLMs keep improving, teams can construct environments where models can run in loops and plan over longer horizons, and they can continually improve these harnesses. Previously, “you couldn’t really make improvements to the harness because you couldn’t actually run the model in a harness,” Chase said.

LangChain’s answer to this is Deep Agents, a customizable general-purpose harness.

Built on LangChain and LangGraph, it has planning capabilities, a virtual filesystem, context and token management, code execution, and skills and memory functions. Further, it can delegate tasks to subagents; these are specialized with different tools and configurations and can work in parallel. Context is also isolated, meaning subagent work doesn’t clutter the main agent’s context, and large subtask context is compressed into a single result for token efficiency.

All of these agents have access to file systems, Chase explained, and can essentially create to-do lists that they can execute on and track over time.

“When it goes on to the next step, and it goes on to step two or step three or step four out of a 200 step process, it has a way to track its progress and keep that coherence,” Chase said. “It comes down to letting the LLM write its thoughts down as it goes along, essentially.”

He emphasized that harnesses should be designed so that models can maintain coherence over longer tasks, and be “amenable” to models deciding when to compact context at points it determines is “advantageous.”

Also, giving agents access to code interpreters and BASH tools increases flexibility. And, providing agents with skills as opposed to just tools loaded up front allows them to load information when they need it. “So rather than hard code everything into one big system prompt,” Chase explained, “you could have a smaller system prompt, ‘This is the core foundation, but if I need to do X, let me read the skill for X. If I need to do Y, let me read the skill for Y.’”

Essentially, context engineering is a “really fancy” way of saying: What is the LLM seeing? Because that’s different from what developers see, he noted. When human devs can analyze agent traces, they can put themselves in the AI’s “mindset” and answer questions like: What is the system prompt? How is it created? Is it static or is it populated? What tools does the agent have? When it makes a tool call, and gets a response back, how is that presented?

“When agents mess up, they mess up because they don’t have the right context; when they succeed, they succeed because they have the right context,” Chase said. “I think of context engineering as bringing the right information in the right format to the LLM at the right time.”

Listen to the podcast to hear more about:

• How LangChain built its stack: LangGraph as the core pillar, LangChain at the center, Deep Agents on top.

• Why code sandboxes will be the next big thing.

• How a different type of UX will evolve as agents run at longer intervals (or continuously).

• Why traces and observability are core to building an agent that actually works.

You can also listen and subscribe to Beyond the Pilot on Spotify, Apple or wherever you get your podcasts.

from the who’s-the-moron-in-a-hurry-here dept

The ten year war over Iceland is over and Iceland has come out the victor.

If you don’t know what I’m talking about, be prepared to listen to a whole bunch of stupid. In 2016, we wrote about Iceland Foods, a UK grocer, which had somehow convinced the EU to give it a trademark for “Iceland” and which then went about bullying other companies and opposing trademarks for any that included the name of that country. One of the entities that Iceland Foods found itself in a trademark opposition with was Iceland, as in the country, when it attempted to trademark “Inspired by Iceland.” The Icelandic government didn’t take too kindly to that appropriation of its own name and petitioned to cancel the Iceland Foods trademark, which is exactly what happened. Rather than put an end to this absurdity, Iceland Foods appealed that decision, lost, then appealed it again, lost again, appealed a third time, only to lose there as well.

From there, Iceland Foods had but one final option for appealing all of these perfectly sane rulings, which would be to take this before the Court of Justice of the EU. And, while that would obviously be crazy, everything I’d seen to date led me to believe the grocer would do just that.

But sanity seems to finally be on the menu, I guess. Iceland Foods has publicly announced that it is ending the fight and surrendering.

Executive chairman Richard Walker revealed the supermarket would drop the legal dispute, which centres on the right to use the phrase Iceland in the EU, following its third legal loss in July 2025.

Iceland had one fourth and final route of appeal, via the Court of Justice of the European Union, but Walker told the Financial Times it would instead use the “couple of hundred grand” it would save in legal fees to give a “rapprochement discount” to Icelandic shoppers.

Yeah, that’s how this should have been approached from the jump, folks. And this actually goes back even further, where this broad, geographic trademark by a private entity consisting of the name of a sovereign nation never should have been granted a trademark to begin with.

But that’s all over now. Iceland Foods’ trademark is invalidated. Iceland once more is free from being bullied over its own name, as would be other companies from the island nation. Iceland Foods can keep on operating as it always has, sans the ability to bully others with this ridiculous mark. Walker himself said as much, in a very frustrating manner.

“We lost for a third time. We’re going to throw in the towel,” Walker told the FT. “It’s actually fine — we don’t have to change our name.”

Exactly. You never had to. That was never in question. The only question is whether you got to keep your laughable trademark and bully others over it.

Instead, the grocer wasted everyone’s time, and who knows how much of its own money, trying to wage this silly war.

Filed Under: cjeu, iceland, iceland iceland iceland, trademark, uk

Companies: iceland foods

Apple Music is introducing a new way to flag AI-generated music. However, it’s relying on the music industry itself to disclose it.

As reported by Music Business Worldwide, the streaming service has launched Transparency Tags, a new metadata system that allows record labels and distributors to mark when artificial intelligence has been used in different parts of a release.

The tags can be applied immediately. Eventually, they will become a requirement when partners deliver new content to the platform.

The partnership news comes with official acceptance into the prestigious UK-based Race2Space 2026 International Propulsion competition.

The University of Limerick (UL) Aeronautical Society High-Powered Rocketry Team (ULAS HiPR) has announced a partnership with UL and Irish Manufacturing Research (IMR) to design and produce the first additive manufactured (3D-printed) liquid rocket engine in the Republic of Ireland, called the Lúin of Celtchar.

The engine is a high-performance 2 kilonewton, water-cooled, IPA/nitrous oxide bi-propellant system, which has been designed entirely by the ULAS HiPR student team and is now being manufactured at IMR’s Advanced Manufacturing Lab in Mullingar using metal additive manufacturing. It will be returned to UL for precision machining and assembly. 

Established in 2022, ULAS HiPR has more than 100 members and is a combination of students from a range of disciplines, such as aeronautical, mechanical, software and design engineering – all of whom have an interest in designing, manufacturing and launching powerful rockets. 

The team has enjoyed some success having represented Ireland internationally at prestigious competitions, including Mach-24 and Euroc, the European Rocketry Challenge. Alongside the announcement of the partnership, ULAS HiPR has also officially been accepted into the UK-based Race2Space 2026 International Propulsion competition.

This is, according to ULAS HiPR, “a major milestone in advancing Irish student-led space propulsion capabilities”.

Speaking on the announcement, Jay Looney, the co-head of ULAS HiPR, said: “The acceptance of our project to Race2Space marks a defining moment not only for ULAS HiPR, but for Ireland’s student space community. 

“The selection of the first additively manufactured liquid rocket engine in the Republic of Ireland into the competition validates the technical ambition of our student team, and the strength of collaboration between Irish university students with industry. It demonstrates that world-class propulsion innovation can now be designed, manufactured and tested entirely here in Ireland.”

Mark Hartnett, a design for manufacturing senior technologist at IMR, added: “At IMR, supporting ambitious student teams like ULAS HiPR reflects our commitment to strengthening Ireland’s advanced manufacturing ecosystem and enabling the next generation of aerospace innovators. 

“These are vital platforms for advancing cutting-edge technologies and building Ireland’s future engineering capability, and this ULAS HiPR propulsion project demonstrates how emerging technologies can move rapidly from concept to high-performance hardware.”

In late February, Silicon Republic attended the official launch of Ireland’s first European Space Agency Phi-Lab, which is headquartered at IMR in Mullingar and run in collaboration with the AMBER Centre at Trinity College Dublin.

One of 10 European Phi-Labs, it is designed to be Ireland’s national platform for space technology development and to anchor the country’s ambitions within Europe and the world’s rapidly-expanding space economy.

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X is testing a new ad format that inserts a recommendation directly underneath a post that references the company or its products. The initial test, spotted by an X user in Europe, displayed a suggestion to “Get Starlink” beneath a post from a user that said Starlink’s satellite service works great in Portugal. The link, when clicked, directed users to Starlink’s website.

X head of product Nikita Bier confirmed the test, responding, “Trying to make an ad product that isn’t an ad.”

The Starlink ad is not visible to all users at this time, but the placeholder where the ad sits is.

If you visit X user @levelsio’s post from March 6 (screenshotted below in case of deletion), you’ll see an outlined box beneath the text of his post. This box currently showcases a random X post, unless you’re in the market where the ad test is live.

In places where the ad displays, several commenters noticed the new addition, with one asking, “lmao, did you add this Starlink button?”

In the thread, Bier also responded to a suggestion that X should allow affiliate links in this ad slot by saying, “No, then people will lie. I want to trust recommendations on here.”

X could not be immediately reached for comment. TechCrunch will update the article if the company responds.

The test follows news earlier this week that the company is rolling out “Paid Partnership” labels for creators. The labels can be applied to posts to comply with regulations around social media advertising, instead of requiring creators to use a hashtag like “ad” or “paid partnership.”

If creators’ sponsored posts were to be combined with an embedded link to an advertiser like the one being tested, X could potentially attract more marketers to the platform. That could boost creators’ use of the app, allowing it to better compete against larger social networks favored by creators, like Instagram, YouTube, and TikTok.

X has been chasing creator content for some time — even before it was called “X” and before it was owned by Elon Musk. Yet the app has never quite found its footing in this space. So far, the company has rolled out a number of creator products, including payouts for viral content, ad-revenue sharing, creator subscriptions, and more. 

The company this week also revamped its Creator Subscriptions offering with a number of new features, including the ability to monetize individual threads.

In addition, X announced Friday that the integrated chatbot Grok is now capable of reading X’s long-form content, known as Articles. This feature, too, is underutilized, as creators who publish lengthy written text tend to prefer doing so through their own websites or newsletters.

Haier has introduced the Couture Care Collection, a two-product premium fabric care range comprising a stacked Laundry Centre and a wardrobe-style Clothes Drying Closet.

It’s a little boujee, but the collection is focused on offering complete fabric care for your clothes, rather than just traditional wash and dry functionality.