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How to fall in love with humanity in the age of AI

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A lot of humans are feeling very down on humanity these days. Maybe you’ve met them. Or maybe you’re one of them.

I’m talking about those who look around and say: Humans are destroying the planet — causing climate change, making other species go extinct. Soon enough we’ll be mucking up the cosmos, too — polluting it with still more space junk, colonizing the moon, even exporting data centers into the heavens. The world would be better off if we ourselves just go extinct!

One reader recently exemplified this rising anti-humanism by writing in to my philosophical advice column, Your Mileage May Vary, and telling me bluntly: “I’m disgusted to be a human.” I responded by reminding them that hating on humanity is neither a new nor an enlightened position. It lets us off the hook too easily, because it expects nothing of us.

But I’m also aware that this distaste for humanity isn’t only motivating old-school misanthropy these days.

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It’s also motivating transhumanism, the movement that says we should use tech to proactively evolve our species into Homo sapiens 2.0. Transhumanists — who span the gamut from Silicon Valley tech bros to academic philosophers — do want to keep some version of humanity going, but definitely not running on the current hardware. They imagine us with chips in our brains, or with AI telling us how to make moral decisions more objectively, or with digitally uploaded minds that live forever in the cloud. All of this will someday, they assert, usher us into a utopian future where we transcend suffering and become as perfect and immortal as gods.

To better understand why a distaste for humanity is driving some people into the arms of transhumanism these days, I reached out to Shannon Vallor, a philosopher of technology at the University of Edinburgh and author of The AI Mirror. Vallor is a devoted humanist — but not a naive one. To her, being pro-human doesn’t mean being anti-technology. We talked about how classical humanism has failed to offer a compelling vision for the 21st century and beyond — and how we can still do better. Our conversation, edited for length and clarity, is below.

What’s driving transhumanism to become more popular these days?

We’re living in a world that digital technologies and social media have made more fragmented and alienating. We are busier, more tired, more lonely, more uncertain than ever about the future and what it holds. So we’re at a low point in our ability to place faith in our fellow humans. And instead of looking at the deeper causes of that — the breakdown of the social fabric and of institutions and of local networks of care — there is an attempt to normalize and naturalize anti-humanism.

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It’s an attempt to treat it not as a symptom of some disease or malaise in society — which is how I see it — but rather to treat it as a new, more enlightened frame of mind. To say: If you’re a humanist, you’re somehow stuck in the past, you have this overly romantic attachment to humans, you’re committing a fallacy of exceptionalism.

And there is a history of humanism being inappropriately exceptionalist — for example, imagining that other living things can’t have feelings or intelligence or moral standing. So as we’ve surpassed those errors, it’s very easy to think: Oh, you just go one step further and decide that humans don’t really need to be part of the story, or they don’t need to be writing the story. And if you quiver or flinch at the notion of machines writing the story of the future, that’s just your parochial attachment.

Right, this is the accusation of “speciesism” that we hear a lot these days.

Exactly. At a very superficial intellectual level, this is all very plausible and appealing and seems very enlightened, right? But it’s rooted in a deep misconception of what it is to be human.

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The reason why it’s mistaken for humans to place themselves at the center of all value and to see other living beings as mere tools has nothing to do with humans somehow being unimportant, or humans somehow being insignificant in the broad story. It’s rather a failure to understand that to be human is to be dependent upon this much bigger living system, and our value is inseparable and intertwined with the value of other living things. It’s not that humans are something to be cast aside.

Have a question you want me to answer in the next Your Mileage May Vary advice column?

Do you think the classical humanism that we’ve inherited from the Renaissance and the Enlightenment era is enough to meet the current moment? Or do we need a new humanism?

No. I do think we need a new humanism. And one of the reasons, of course, is because classical humanism, in addition to suffering from the flaws of speciesism, had a vision of the human that was itself heavily gendered and racialized. It was very much an ideal that is both unattainable and undesirable in its naive form: the idea of the individual, rational agent that is entirely self-determining and surpassing the more basic networks of care and concern that hold communities together. This Enlightenment version of humanism, which carried with it many of the flaws of European Enlightenment thinking more broadly — that’s not the kind of humanism that’s going to carry us into a sustainable future.

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The most common pro-human response to AI that I see nowadays is this style of humanism that tries to say there are certain fixed traits that make humans unique, and that tries to locate value only in humans as they currently exist. It says: Let’s use tech to alleviate problems like disease but not try to augment the species.

To me, that feels insufficient as a guide. Because we’re all already transhuman in some sense, right? “Human” has never been a static category. Homo sapiens has always been evolving and augmenting itself, with everything from meditation and fasting to eyeglasses and antidepressants. A humanism that refuses to recognize that feels like it doesn’t offer a compelling vision for the future.

That’s the naive version of humanism. It’s the idea that there’s this blueprint for what a human is and that somehow technology, or any things that change us, take us away from that blueprint, when in fact we’ve been changing ourselves with language, with tools, with architecture, with culture, from the moment we climbed down from the trees.

“We need to ground ourselves in an ethos of sustainability, of care, of solidarity and mutual aid and repair of the systems that we need in order to have a future. That can be its own philosophy.”

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I wrote about this in The AI Mirror, where I talked about the existentialist Jose Ortega y Gasset’s notion of “autofabrication” [literally, self-making]. From the beginning, humans have had to invent and reinvent themselves anew again and again. If there is anything unique about the human, it’s that as far as we know there’s no other creature that has to get up in the morning and decide if it’s going to live differently than it did the day before, or if it’s going to maintain the commitments and promises it’s made to itself or others.

This kind of identity construction is something that our cognitive makeup has given us, both as a blessing and a bit of a curse. It’s the responsibility to choose — and to not fall back on this idea that there’s a blueprint for what a human is supposed to be and that we’re just supposed to follow that blueprint.

I think people really crave a positive vision for the future that they can get behind. To you, what is the positive, humanist-but-not-naive-humanist vision?

Sometimes I think about this demand for a positive vision and I think about how unfair and unreasonable that demand is when the mere homeostasis of life on this planet, and of human life, is fragile. For a being whose future is threatened, survival is a positive future! Maintaining the strength and resilience of our form of life is a victory. And in a way, I think there’s a danger in the desire to immediately leap past that.

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We have to look at the fundamental structural causes of the scarcity we face, and see the positive, exciting, mobilizing, motivating work as addressing those deficiencies. We should be able to be excited about doing that work.

I have two simultaneous reactions to this. The first is: Yes, we should be able to get excited about that. And I think if we had a cultural narrative that taught us that just the dynamism of being alive is itself the gift, we’d be better placed to think of sustainability as the thing to treasure.

My second reaction is: But people have this persistent hunger for a story about how we can overcome suffering and make things better than ever before — a transcendence narrative!

And that’s okay. What I want to say is, if you meet people’s basic needs, both as individuals and in community, they will naturally generate the instruments of transcendence.

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When you give people the ability to be free from fear and free from imminent threat, and you get them out of this feeling that they’re in a lifeboat situation — that’s when people’s creative energy really kicks in.

I’m someone who loves animals — I’m a big birder, I’m obsessed with snorkeling, I just love exploring different kinds of minds. So I could feel excited about a future where we have a multitude of diverse intelligences — animals, conscious AIs, augmented humans, etc. Do you think part of a positive vision for the future could be an expanded space of different kinds of minds? Does that excite you at all?

Yeah! Look, I’m a giant sci-fi nerd. I spent my whole childhood living in imaginary worlds with other kinds of minds: talking animals, various hybrid human-animal creations, robots, artificial intelligences. There is nothing about my humanism that blocks a future where humans share the planet with many more kinds of minds than we have today.

What I resent is the exploitation of that excitement by tech companies to sell and impose harmful, unsafe technologies that pretend to be minds, that are disguised as minds. Claude is not [a mind]. Claude is a language model built to roleplay that.

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I have no assurance that it’s possible to create a machine mind. But I also have no principled reason to think it’s impossible. And the vision that you described sounds wonderful. The problem is that it’s very easy for the AI industry to say: Ah, but that’s what we’re already giving you!

You said in a talk last year that you think maybe we should take a break from a certain kind of philosophizing about humanity’s future. But looking around at the political landscape, that feels like a luxury we can’t afford. The tech broligarchs have links to the authoritarian right. Some of them want to escape the control of democratic governments, so they’re trying to create their own sovereign colonies — whether that’s space colonies or “network states.” Given their influence, taking a break from trying to steer the future feels like capitulation at a time when capitulation is very dangerous.

I hear you. It does seem very dangerous to say that there shouldn’t be some kind of counter-philosophical-movement opposing that. But when I was saying that maybe we need to pause, what I was speaking of is the kinds of philosophical preoccupations that jump ahead of the obvious needs of the moment and serve as a perpetual distraction from those needs.

There is a certain kind of philosophy that I think we need to perhaps put on hold: It’s the philosophy of forget the present, forget the problems of the moment, think bigger, think about the universal point of view.

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What I’m suggesting is that we need to ground ourselves in an ethos of sustainability, of care, of solidarity and mutual aid and repair of the systems that we need in order to have a future. That can be its own philosophy.

But it’s not a utopian kind of move. Utopia is very often used as an instrument of authoritarianism and it’s used as a way to rip people away from their present commitments and needs, and to distract them with a dream that relieves the pressure to address our current circumstances. I think that’s the opposite of what we need right now.

Yeah, this is the classic point made about Christendom — how it tells us: Just focus on getting to a good afterlife, don’t expect anything good from your life on Earth. Malcolm X called it “pie in the sky and heaven in the hereafter.” It’s one of the ways I often feel like transhumanism is weirdly doing Christendom’s bidding.

Oh absolutely, 100 percent. It’s strangely regressive, right? It’s bringing us back precisely to that worldview: Don’t worry about the feudal circumstances that you are presently in, because that’s going to be a distant memory soon, when the world of infinite abundance is delivered unto you. That story was effective for millennia. But it was one that we ultimately managed to break ourselves free from.

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Right, and that was one of the genuinely great innovations of humanism: Let’s not just put all our faith in the beautiful hereafter, but let’s actually care about human lives here on Earth, now.

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UN digital envoy warns AI influence is concentrated in a ‘few zip codes,’ calls for global action

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United Nations’ Under-Secretary and Special Envoy for Digital and Emerging Technologies, Amandeep Singh Gill, appears via Zoom to deliver the opening keynote at Seattle University’s 2026 Ethics and Tech conference on May 15, 2026. (Photo: Ken Yeung)

Big tech companies are deploying compute clusters with millions of GPUs to train and run AI models. But across the entire continent of Africa — encompassing 54 countries and more than 1.5 billion people — fewer than 1,000 GPUs are available for researchers and developers to train models on local-language datasets.  

That disparity illustrates what the United Nations’ top digital envoy calls an “immense concentration of tech power and wealth” in a few zip codes — not just countries or regions, but confined areas, primarily in the U.S., where the companies shaping AI are based.

He didn’t name names, but the point hit close to home for the Seattle audience: 98109 for Amazon, 98052 for Microsoft.

Delivering the keynote address via Zoom at Seattle University’s 2026 Ethics and Tech conference on Friday, Under-Secretary Amandeep Singh Gill called 2026 “especially seminal” for AI governance, as the technology shifts from model capabilities and infrastructure investment to systems that perform real-world tasks autonomously.

Gill pointed to the global response to Anthropic’s Mythos AI model — which the company restricted from broad public release over cybersecurity concerns — as an example of why AI governance requires a comprehensive, international approach.

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Here are more of the key messages from his talk.

AI could become a “systemic risk.” Gill said the technology is a “relatively minor risk” now but warned it could soon bypass cybersecurity defenses, accelerate armed conflict, and erode public trust through deepfakes and misinformation. “When we cannot tell the difference between what is true and untrue, what is reality or imaginary, then we lose this shared sense of an understanding of facts,” he said. 

Armed conflict could worsen. Gill warned that AI risks “lowering the threshold of conflict, confusing accountability under international humanitarian law, and setting us off on escalation ladders that we cannot control.” 

AI’s energy demands are threatening climate goals. The energy required for large language models, agentic systems, and inference is already threatening national net-zero targets, Gill warned. Data center emissions, water consumption for cooling, hardware turnover, and mineral extraction costs are compounding — and falling disproportionately on low-income countries. 

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AI is both “a potential solution and a stressor” for the environment. It could optimize renewable energy grids and accelerate progress in fusion and batteries, but the short-term costs are mounting. Gill said the UN is examining how to ensure equity and just transitions “over these time horizons.” 

The UN is building a scientific panel for AI modeled after the Intergovernmental Panel on Climate Change. Chaired by journalist and Nobel Peace Prize winner Maria Ressa and Turing Award-winning AI researcher Yoshua Bengio, the 40-member panel is deliberately composed of only two members each from China and the U.S., with the remaining 36 from other countries, including seven from Africa, to ensure more countries are heard. Its first report is expected in July 2026. 

The UN is putting AI governance conversations under one roof. Conversations about AI previously happened in separate bodies with narrow mandates. Now they’re being brought onto what Gill called a “horizontal platform” where policymakers from all 193 countries can learn from each other and develop common approaches.

Gill called AI governance a “sovereign decision.” The UN won’t tell countries how to regulate AI, but governance frameworks mean little if nations lack the capacity to participate. Gill called for support of community-driven AI projects that invest in local research and innovation ecosystems, allowing people to use these tools to solve their own problems.

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He acknowledged the UN is working with limited resources against an enormous challenge, but said the alternative is leaving AI’s trajectory to market forces and geopolitical competition.

The goal, he said, is a world where AI empowers democracies and societies, and creates opportunities not just for “a few billionaires and trillionaires” but for everyone.

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Architectural patterns for graph-enhanced RAG: Moving beyond vector search in production

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Retrieval-augmented generation (RAG) has become the de facto standard for grounding large language models (LLMs) in private data. The standard architecture — chunking documents, embedding them into a vector database, and retrieving top-k results via cosine similarity — is effective for unstructured semantic search.

However, for enterprise domains characterized by highly interconnected data (supply chain, financial compliance, fraud detection), vector-only RAG often fails. It captures similarity but misses structure. It struggles with multi-hop reasoning questions like, “How will the delay in Component X impact our Q3 deliverable for Client Y?” because the vector store doesn’t “know” that Component X is part of Client Y’s deliverable.

This article explores the graph-enhanced RAG pattern. Drawing on my experience building high-throughput logging systems at Meta and private data infrastructure at Cognee, we will walk through a reference architecture that combines the semantic flexibility of vector search with the structural determinism of graph databases.

The problem: When vector search loses context

Vector databases excel at capturing meaning but discard topology. When a document is chunked and embedded, explicit relationships (hierarchy, dependency, ownership) are often flattened or lost entirely.

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Consider a supply chain risk scenario. While this is a hypothetical example, it represents the exact class of structural problems we see constantly in enterprise data architectures:

  • Structured data: A SQL database defining that Supplier A provides Component X to Factory Y.

  • Unstructured data: A news report stating, “Flooding in Thailand has halted production at Supplier A’s facility.”

A standard vector search for “production risks” will retrieve the news report. However, it likely lacks the context to link that report to Factory Y’s output. The LLM receives the news but cannot answer the critical business question: “Which downstream factories are at risk?”

In production, this manifests as hallucination. The LLM attempts to bridge the gap between the news report and the factory but lacks the explicit link, leading it to either guess relationships or return an “I don’t know” response despite the data being present in the system.

The pattern: Hybrid retrieval

To solve this, we move from a “Flat RAG” to a “Graph RAG” architecture. This involves a three-layer stack:

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  1. Ingestion (The “Meta” Lesson): At Meta, working on the Shops logging infrastructure, we learned that structure must be enforced at ingestion. You cannot guarantee reliable analytics if you try to reconstruct structure from messy logs later. Similarly, in RAG, we must extract entities (nodes) and relationships (edges) during ingestion. We can use an LLM or named entity recognition (NER) model to extract entities from text chunks and link them to existing records in the graph.

  2. Storage: We use a graph database (like Neo4j) to store the structural graph. Vector embeddings are stored as properties on specific nodes (e.g., a RiskEvent node).

  3. Retrieval: We execute a hybrid query:

Reference implementation

Let’s build a simplified implementation of this supply chain risk analyzer using Python, Neo4j, and OpenAI.

1. Modeling the graph

We need a schema that connects our unstructured “risk events” to our structured “supply chain” entities.

Image 1
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2. Ingestion: Linking structure and semantics

In this step, we assume the structural graph (suppliers -> factories) already exists. We ingest a new unstructured “risk event” and link it to the graph.

Image 3
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3. The hybrid retrieval query

This is the core differentiator. Instead of just returning the top-k chunks, we use Cypher to perform a vector search to find the event, and then traverse to find the downstream impact.

Image 5

The output: Instead of a generic text chunk, the LLM receives a structured payload:

[{‘issue’: ‘Severe flooding…’, ‘impacted_supplier’: ‘TechChip Inc’, ‘risk_to_factory’: ‘Assembly Plant Alpha’}]

This allows the LLM to generate a precise answer: “The flooding at TechChip Inc puts Assembly Plant Alpha at risk.”

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Production lessons: Latency and consistency

Moving this architecture from a notebook to production requires handling trade-offs.

1. The latency tax

Graph traversals are more expensive than simple vector lookups. In my work on product image experimentation at Meta, we dealt with strict latency budgets where every millisecond impacted user experience. While the domain was different, the architectural lesson applies directly to Graph RAG: You cannot afford to compute everything on the fly.

Mitigation: We use semantic caching. If a user asks a question similar (cosine similarity > 0.85) to a previous query, we serve the cached graph result. This reduces the “graph tax” for common queries.

2. The “stale edge” problem

In vector databases, data is independent. In a graph, data is dependent. If Supplier A stops supplying Factory Y, but the edge remains in the graph, the RAG system will confidently hallucinate a relationship that no longer exists.

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Mitigation: Graph relationships must have Time-To-Live (TTL) or be synced via Change Data Capture (CDC) pipelines from the source of truth (the ERP system).

Infrastructure decision framework

Should you adopt Graph RAG? Here is the framework we use at Cognee:

  1. Use vector-only RAG if:

    • The corpus is flat (e.g., a chaotic Wiki or Slack dump).

    • Questions are broad (“How do I reset my VPN?”).

    • Latency < 200ms is a hard requirement.

  2. Use graph-enhanced RAG if:

    • The domain is regulated (finance, healthcare).

    • “Explainability” is required (you need to show the traversal path).

    • The answer depends on multi-hop relationships (“Which indirect subsidiaries are affected?”).

Conclusion

Graph-enhanced RAG is not a replacement for vector search, but a necessary evolution for complex domains. By treating your infrastructure as a knowledge graph, you provide the LLM with the one thing it cannot hallucinate: The structural truth of your business.

Daulet Amirkhanov is a software engineer at UseBead.

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Our guest posting program is where technical experts share insights and provide neutral, non-vested deep dives on AI, data infrastructure, cybersecurity and other cutting-edge technologies shaping the future of enterprise.

Read more from our guest post program — and check out our guidelines if you’re interested in contributing an article of your own!

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Cerebras Systems IPO set to raise more than $5.5bn

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The pricing of the 30m class A common stock shares is significantly higher than was expected.

Cerebras Systems, the AI chipmaker aiming to rival Nvidia, is set to raise more than $5.5bn after pricing its US initial public offering (IPO) at $185 per share.

The pricing of the 30m class A common stock shares – set to begin trading today (14 May) as ‘CBRS’ on the Nasdaq Global Select Market – is significantly higher than was expected.

In early May, a $3.5bn raise through the sale of 28m shares at between $115 and $125 each was mooted. Last week, that estimate had grown to proceeds of up to $4.8bn at a range of $150-160 per share.

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Reported media valuations for the company after the IPO sit at around $50bn.

Morgan Stanley, Citigroup, Barclays and UBS Investment Bank are acting as lead book-running managers for the offering, according to Cerebras. Mizuho and TD Cowen are acting as bookrunners.

Needham & Company, Craig-Hallum, Wedbush Securities, Rosenblatt, Academy Securities, Credit Agricole CIB, MUFG and First Citizens Capital Securities are acting as co-managers.

In February, the company was valued at around $23bn after a $1bn Series H raise.

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Cerebras claims that it builds the “fastest AI infrastructure in the world” and CEO Andrew Feldman has also gone on record to say that his hardware runs AI models multiple times faster than that of Nvidia’s.

Cerebras is behind WSE-3, touted by the company to be the “largest” AI chip ever built with its 19-times more transistors and 28-times more compute than the Nvidia B200.

Cerebras initially filed for IPO in September 2024, but drew criticism for a perceived heavy reliance on a single United Arab Emirates-based customer, the Microsoft-backed G42. The following October, it withdrew from a planned IPO without providing an official reason.

According to Bloomberg, the Cerebras IPO is the largest of 2026 so far, and drew orders for more than 20 times the number of shares available. Cerebras said it had granted the IPO underwriters a 30-day option to purchase up to an additional 4,500,000 shares.

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Last month, Elon Musk’s SpaceX was reported to have confidentially filed for a US IPO, with estimates of how much this could raise put at between $50bn and $75bn, while the company’s valuation could be up to $1.75trn.

Don’t miss out on the knowledge you need to succeed. Sign up for the Daily Brief, Silicon Republic’s digest of need-to-know sci-tech news.

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‘We Still Can’t See Dark Matter. But What If We Can Hear It?’

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“We may have accidentally detected dark matter back in 2019,” writes ScienceAlert.

“What if instead of trying to see dark matter, scientists attempted to hear it instead?” asks Space.com:
New research suggests dark matter could leave a tiny but discernible imprint in the cacophony of ripples in spacetime called “gravitational waves” that ring through the cosmos when two black holes slam together and merge… Fortunately, when it comes to detecting gravitational waves from colliding black holes, humanity’s instruments, such as LIGO (Laser Interferometer Gravitational-Wave Observatory), are getting more and more sensitive all the time…

Vicente and colleagues searched through data gathered by LIGO and its fellow gravitational wave detectors, KAGRA (Kamioka Gravitational Wave Detector) and Virgo, focusing on 28 of the clearest signals from merging black holes. Of these, 27 appeared to have come from mergers that occurred in the relative vacuum of space. One signal, however, GW190728, first heard on July 19, 2019, and the result of merging binary black holes with a combined mass of 20 times that of the sun and located an estimated 8 billion light-years away, seemed to carry the telltale trace of this merger occurring in a region of dense, “buttery” dark matter.

The team behind this research is quick to point out that this can’t be considered a positive detection of dark matter, but does say it gives us a hint at what to look for and thus where to direct follow-up investigations… “We know that dark matter is around us. It just has to be dense enough for us to see its effects,” said team leader Josu Aurrekoetxea, of the Massachusetts Institute of Technology (MIT) Department of Physics. “Black holes provide a mechanism to enhance this density, which we can now search for by analyzing the gravitational waves emitted when they merge.”
They published their results this week in the journal Physical Review Letters.

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Take Control of Your Debt With These Free Tools

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Apps for budgeting and personal finance do a good job of tracking your money as you earn and spend it. Some also have excellent debt calculators that help you figure out how to pay off your debts.

Each debt calculator is a little different. Some suggest a specific method for paying down debt, while others are simulators that let you see how your total amount paid will decrease if you increase your monthly payment.

Here are a few useful calculators and some guidance about what makes them different.

A Straightforward Plan: Bankrate

Bankrate’s free debt payoff calculator gives you a timetable for paying off each of your debts. You enter as many debts as you want to include, their interest rates, total loan amounts, and other details. You also enter any new income you expect to receive, such as an annual salary increase or windfall, and the amount that you can put toward your debts. The calculator then generates one payment table for each debt showing how much to pay each month until the debt is cleared.

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Bankrate prioritizes paying off the debt with the highest interest rate first. Once your first debt is paid off, the money you would have put toward it is diverted to your other monthly payments. In other words, as you eliminate debts, the monthly payments on your other debts increase until they, too, are paid off.

Who should use it? Bankrate’s calculator works for people who have multiple debts, and the total monthly minimum payments are within their financial reach. If that’s you, then you’ll get a crystal clear plan—with a timeline—for getting rid of all your debts.

Where it comes up short. This calculator assumes that paying off your debts by clearing the one with the highest interest rate first is in your best interest. That’s not true for everyone. You might have other options, such as consolidating credit card debt to a new card with a 0 percent introductory rate or filing for bankruptcy. Bankrate also doesn’t take into account other personal finance concerns, like other uses of monthly funds that free up once you pay off your first debt—Bankrate tells you to put that money toward your next-highest-interest debt. You might be better off putting it toward retirement savings or an emergency fund.

Big-Picture Guidance: NerdWallet

NerdWallet’s free debt load calculator determines your debt load as a percentage of your income. The resulting debt load is classified as smaller (less than 36 percent), larger (37–42), or overwhelming (43 percent or more). Based on the outcome, NerdWallet suggests a method for eliminating your debt, which you read about in an educational article below the results.

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Who should use it? This calculator helps you get a big-picture sense of your debt. If you have a lot of debt, it’s useful for ruling out (or ruling in) the option of declaring bankruptcy.

Where it comes up short. It’s not great at analyzing the finer details of your debt. For example, in the setup, there’s no line item for student loans or a mortgage, much less the exact interest rate you pay on loans. The results are a rough guide rather than a personalized strategy.

Automated Inputs: WalletHub

When you sign up for WalletHub (free) and connect your financial accounts, the app pulls real information about how much money you owe and your payment history. Its debt payoff plan is a calculator that lets you play with the numbers to see what would happen if you increased your monthly payment. How much faster can you clear the debt? How much will you save in interest? You can quickly see the difference between increasing your monthly payment by, say, $50 versus $150.

Who should use it? This calculator is for WalletHub users who have connected their financial accounts. It’s most useful for people who can afford to pay more than the monthly minimum on their debts.

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5 Lexus Engines You Should Steer Clear Of

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Lexus has spent more than three decades earning the reliability that most luxury brands would love to borrow. From the original LS 400 that humbled German sedans, to early RX and ES models, the brand has conditioned buyers to trust any Lexus engine almost by default, and most of the time that trust is warranted.

But no automaker bats a thousand. Hidden in Lexus’ 35-year engine catalog are a few designs that don’t quite live up to the badge. The five engines ahead span nearly every era of the brand and together power hundreds of thousands of vehicles still on the road. These include a twin-turbo V6 that can stall when stray machining debris wipes out its bearings, another V6 that became known for turning its oil into sludge, the hybrid four-cylinder that powered the company’s first hybrid car and burned oil faster than fuel, a compact direct injection V6 that misfires when carbon clogs its intake valves, and an otherwise reliable Lexus V8 engine with a fire-risk related recall.

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Have all of them been fixed by recalls, updated parts, or warranty programs? In most cases, yes. Does that mean every example you’ll find on a used car lot will be bad? Not really. But if you’re shopping for a used LX 600, IS 250, ES 300, RX 300, HS 250h, GX 460, or LS 460, the engine under the hood deserves more attention than the badge on the grille.

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1. 1MZ-FE 3.0L V6

When Toyota introduced the all-aluminum 1MZ-FE in the mid-1990s, it looked like the perfect luxury V6. Aluminum saved weight over the iron 3VZ it replaced, twin overhead cams kept it smooth to 5,800 rpm, and its broad torque curve gave the ES 300 and first-gen RX 300 the effortless feel buyers expected from a Lexus. Later updates even added variable valve timing, helping the engine meet low-emissions targets without giving up power. The problem is that the 1MZ-FE also became one of the main engines tied to Toyota and Lexus’s oil-sludge controversy.

It started with reports of thick, oily sludge building up under the valve covers, and it quickly became one of Toyota’s most notorious reliability issues. Engine oil is supposed to stay thin enough to move quickly through narrow passages, carry heat away from hot spots, and keep bearings and cam surfaces from grinding against each other.

In the 1MZ-FE, however, degraded oil could thicken into sticky deposits instead of flowing cleanly through the engine, and it showed up as warning lights, blue smoke at startup, burning oil, valve knock, sudden stalling, and no-start conditions. In the worst cases, the engine sludge problem led to complete engine failure, with quotes for thousands of dollars in major internal work involving the short block, heads, valve covers, and cams.

The problem was widespread enough to pull in the 1MZ-FE-powered Lexus ES 300 and RX 300, and Toyota addressed it through a Special Policy adjustment rather than a formal recall; a later class-action settlement ultimately covered about 3.5 million 1997-2002 Toyota and Lexus vehicles.

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2. 4GR-FSE 2.5L direct-injection V6

Toyota’s GR family makes some of the most respected V6s in modern motoring, but the 4GR-FSE is the odd child. Lexus dropped it into the second-generation IS 250 (2006-2010 sedan, 2010 IS 250C) as a downsized alternative to the 3.5-liter IS 350. Technically, it looked smart: a modern, high-compression GR-family V6 with dual VVT-i and, critically, D-4 direct fuel injection. Lexus claims the direct-injection system helped cool the cylinders, allowing the 4GR-FSE to run at higher compression and extract more efficiency from a small luxury-sedan V6.

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The problem is that gasoline direct injection engines also remove one useful side effect of port injection. In a port-injected engine, fuel is sprayed upstream of the intake valve, which helps “wash” the backs of the valves as the engine runs and makes it harder for oily vapors and deposits to stick. In the 4GR-FSE, fuel is injected directly into the cylinder, so the intake valves don’t get that natural cleaning effect. Without it, carbon deposits are more likely to build up on the intake side over time. Once carbon deposits built up, the 4GR-FSE could show check-engine and VSC lights, rough cold starts, shaky idle, random cylinder misfires, sputtering at stops, sudden loss of power, and occasional stalling when rpm dropped. Some cases involved repeat top-engine cleanings, piston/ring work, or complete engine replacement.

Because Lexus treated it as a drivability/emissions issue — not a safety defect — it was handled with service bulletins and a Customer Support Program instead of a recall. That coverage ran for nine years, but it’s expired now, which means today’s used-IS buyers pay out of pocket for cleanings and related repairs or sidestep the 4GR altogether and buy the port-and-direct-injected IS 350 instead.

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3. 1UR-FE/1UR-FSE 4.6L V8

When Lexus replaced its long-running 4.3L LS V8 and 4.7L GX V8 engines, the 4.6L 1UR looked like the perfect upgrade. The 1UR-FSE arrived in the LS 460 as a newly developed 4.6-liter V8, while the 1UR-FE followed in the 2010 GX 460 as a stronger, more efficient replacement for the old 4.7-liter V8. Early 1UR-era cars, however, had a number of problems, and the one that drew the most attention was a valve-spring defect.

Toyota found that some valve springs in certain 2007-2008 LS 460/LS 460L and 2008 GS 460 V8 engines could create small cracks and eventually break. Once a valve spring fails, the engine can act like it’s starving for fuel; sluggish throttle response, sudden power loss, heavy shaking/misfires, and in the worst cases, it stalls and won’t restart.

Another issue involved the fuel system. On some 1UR-powered Lexus models, the gasket sealing the fuel-pressure sensor to the fuel delivery pipe could lose its seal over time, causing the fuel to leak into the engine bay, sometimes with little warning beyond a fuel smell, and that obviously raises the risk of a fire. On the SUV side, some GX 460s had a secondary-air injection fault that could trigger the check-engine light and put the truck into reduced-power/limp mode until the pump or valves were replaced.

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Toyota addressed the broken springs with a safety recall, replaced the fuel-sensor gasket under a different recall, and later issued a GX 460 Warranty Enhancement for air-injection pump failures and switching valves for 10 years.

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4. 2AZ-FXE 2.4L hybrid four-cylinder

The 2AZ-FXE was the mechanical heart of the Lexus HS 250h, which arrived for 2010 as the world’s first hybrid-only luxury vehicle and Lexus’s first four-cylinder gas engine paired with Lexus Hybrid Drive. It came from Toyota’s ubiquitous 2AZ engine family, including the conventional 2AZ-FE and the hybrid 2AZ-FXE, which powered countless Camrys, RAV4s, and Scion tCs before doing duty in the HS 250h’s 2010-2012 run. It was a very different kind of Lexus engine from the brand’s well-known V6s; a 2.4-liter tuned to prioritize fuel economy above everything else. Unfortunately, fuel economy wasn’t the only thing it became known for; oil consumption became the real problem.

In a healthy engine, piston rings are supposed to do two jobs at once: keep combustion pressure above the piston where it belongs and scrape excess oil off the cylinder walls so it doesn’t get pulled into the combustion chamber. When the oil control side of that job starts failing, the engine can begin consuming oil so gradually that a driver may not notice until the level has fallen much farther than it should. Once oil levels drop too far, bearings, cylinder walls, and the valvetrain are all working with less protection than they were designed to have.

There was no recall for the HS 250h; Lexus addressed excessive oil consumption with a Warranty Enhancement Program for certain 2010-2012 HS 250h vehicles, which called for updated piston assemblies. The HS 250h itself was a short-lived Lexus experiment, effectively discontinued in North America after 2012 and credited with only about 67,000 sales globally by 2016. Even Toyota moved on with the 2012 Camry, switching to a new 2.5-liter hybrid engine in place of the 2.4.

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5. V35A-FTS 3.4 twin-turbo V6

The V35A-FTS was Lexus’s and Toyota’s clean break from the V8s that powered their old-school trucks and body-on-frame flagship SUVs. Instead of relying on displacement, the 3.4-liter twin turbo V6 uses boost to do the heavy lifting, which is why the LX 600 can make 409 horsepower and 479 lb-ft of torque from two fewer cylinders than the LX 570 before it. The tradeoff is that such boosted engines deliver their strongest shoves early, right in the low-mid rpm range where heavy SUVs and pickups spend most of their time. That also puts repeated stress through the crankshaft, which makes the bottom end especially important.

That starts with the crankshaft main bearings, which are not glamorous parts but keep the rotating assembly alive. Every time combustion pushes a piston down, that force travels through the connecting rod into the crankshaft. And the crank only survives because it rides on main bearings with a thin, pressurized oil layer acting as a lubricant between the metal surfaces.

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In the V35A-FTS’s case, machining debris was left inside some engines during manufacturing. Those tiny metal particles can circulate with the oil, reach the crankshaft main bearings, and get trapped right where the crank is supposed to be riding on a clean, pressurized film. If the debris sticks and the engine keeps seeing higher loads over time, the bearings can fail – showing up as knocking, rough running, a no-start, or even a stall. Once it gets far, the result is complete engine failure.

That V35A-FTS engine is used in the 2022-present Toyota Tundra, 2022-present Lexus LX 600, and 2024-present Lexus GX 550. The machining debris was covered by a recall for certain 2022-2024 Tundra/LX and 2024 GX vehicles (126,691 in the US)

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How we chose these engines

Lexus is one of the most reliable luxury brands in the world, which is why this list needed a careful filter, as reliability should not be treated like a free pass. We didn’t choose engines just because they had a few angry owner complaints, high repair bills, or one-off horror stories. A Lexus engine only made the cut if the problem had a larger paper trail behind it, such as a recall, service bulletin, warranty extension, or other official action.

That doesn’t mean every vehicle with one of these engines is doomed. In fact, the opposite is true. Plenty of owners continue to report long, uneventful runs with some of the powertrains on this list, and many affected examples have run perfectly fine for years after being repaired.

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AirPods Max 2 vs Heavys H1H: Heavy metal headphones compared

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You’ve probably seen an ad for the rock-tuned Heavys H1H on the internet, and true to their word, they are in fact tuned for guitar-heavy rock. Here’s how they compare to Apple’s AirPods Max.

Two modern over ear headphones side by side: matte teal pair with rounded cups on the left, sleek black Heavys branded pair on the right, against a purple to green gradient background
AirPods Max 2 [left], Heavys H1H [right]

As a major mainstream tech company, Apple has an incentive to design to accommodate as many people as possible.
Its products may not necessarily have everything a particular person wants in an item. But even so, it will still be close enough to be acceptable for the majority of customers.
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JLab JBuds Open Wireless review: a genius concept, but I didn’t love them

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Why you can trust TechRadar


We spend hours testing every product or service we review, so you can be sure you’re buying the best. Find out more about how we test.

JLab JBuds Open Wireless: Two-minute review

JLab is well-known for its affordable headphones and earbuds, but this time the brand is branching out into something more unusual.

The JBuds Open Wireless are over-ear headphones designed to allow you to hear the world around you. Yes, everyone is doing that right now, just take a look at our best open earbuds guide — but while most open-ear options are earbuds, JLab has made an over-ear version. It promises to deliver the same open benefits but from a bigger — and for some people, more comfortable — form factor.

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JBL Tune 730BT Review – Trusted Reviews

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Verdict

The JBL Tune 730BT is a no-frills wireless over-ear that nails the budget brief. There’s no noise cancelling and no spatial trickery, but you do get JBL Pure Bass Sound, Bluetooth 6.0 with Multipoint, crazy good 76-hour battery life, a foldable design and reliable two-mic call quality. At £39.99, the 730BT is one of the easiest budget recommendations going, provided you’re happy to live without ANC. For students, second-pair buyers and anyone who just wants to plug in and listen, there’s considerable value for money

  • 76-hour battery life is exceptional

  • Solid Pure Bass Sound

  • Custom EQ plus six presets

  • Foldable, lightweight build

  • Relax mode with ambient sounds

  • No active noise cancelling

  • Plastic build is unmistakably budget

  • No charging cable in the box

  • No 3.5mm wired option

Key Features

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    Audio

    JBL Pure Bass Sound with 40mm dynamic drivers

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    Wireless

    Bluetooth 6.0 with Multipoint, Fast Pair and Swift Pair

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    Calls

    Two beamforming mics for hands-free calls

Introduction

There are two ways to do budget wireless headphones. You can build a glossy facsimile of a flagship and hope nobody notices the missing features, or you can pick three or four things to do well, leave the rest off the spec sheet and price the result accordingly. The JBL Tune 730BT belongs to the second school.

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At £39.99, the Tune 730BT is an entry point into JBL’s revamped Tune line-up. There’s no noise cancelling, no Spatial Sound, no Hi-Res, no cable in the box. What you get instead is headline JBL Pure Bass tuning, Bluetooth 6.0, the same generous 76-hour battery life as the 780NC, Multipoint and a foldable design.

It’s a familiar JBL formula, refined for the post-Bluetooth LE Audio era. The question is whether the 730BT does enough to justify a place in the increasingly crowded budget wireless category, and whether anyone should still bother with ANC-free headphones in 2026.

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Design

  • Familiar JBL silhouette
  • Lightweight and foldable
  • Four colourways

Pull the Tune 730BT out of the box, and the family resemblance is immediate. JBL has applied the same design language as the rest of the new Tune range: smooth polycarbonate cups with the JBL logo embossed on each side, a slim padded headband, soft polyurethane leatherette earpads and minimal external branding.

Build is plastic, as you’d expect at the price, but it doesn’t feel cheap in hand. There’s no creak from the headband, the hinges fold cleanly without protesting, and the 218g weight is well-judged for a £39.99 over-ear. Compared to a Sony WH-CH520 or Sennheiser Accentum Wireless, the 730BT feels comparable.

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Without ANC, you’re relying on passive isolation; fortunately, it’s impressive even if the screech of the London Underground inevitably finds its way through. For office use or home work when you need to focus, the 730BT is up to the task, even with the washing machine at full tilt and within earshot.

JBL 730BT controlsJBL 730BT controls
Image Credit (Trusted Reviews)

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Controls are physical buttons on the right earcup – power, Bluetooth pairing and volume – plus a USB-C charging port on the same side. There’s no 3.5mm jack, which is the most obvious omission for wired revivalists. There’s no charging cable or carry case, but you do get a rudimentary fabric pouch to keep the dust off.

Comfort is a no-grumbles good. The earpads are deep enough that the drivers sit clear of the ears, the clamping force is light without losing the seal, and a long working day passes without the temple-ache that some glasses-wearers get from heavier rivals.

JBL 730BT worn by reviewerJBL 730BT worn by reviewer
Image Credit (Trusted Reviews)

The headband padding could be a touch more substantial, but it’s a minor gripe as the 730BT are one of the more comfortable budget over-ears I’ve tested, with only moderate heat build-up

Four colours are offered: Black, Blue, Beige and White. None shouts ‘budget headphone’.

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Battery Life

  • 76-hour quoted playback
  • Speed-charge support
  • USB-C charging in two hours

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JBL quotes up to 76 hours of playtime on Bluetooth, and that figure holds up well in real-world use at moderate volumes. Across a week of mixed commuting, video calls and music listening, the headphones registered a charge cycle every 9 to 11 days.

Standby drain is minimal, which is the difference between a 76-hour spec and a 76-hour reality.

A 5-minute speed charge delivers five hours of playback. A full charge from flat takes about two hours over USB-C.

JBL 730BT foldableJBL 730BT foldable
Image Credit (Trusted Reviews)

Talk time is quoted at up to 45 hours, which is fairly generous. There’s no power-bank function, no wireless charging and no quick-charge LED indicator; you charge it from flat, you forget about it, you charge it again.

Remember, JBL hasn’t shipped a USB-C cable in the box. A mild annoyance for anyone migrating from older Lightning or Micro-USB hardware.

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Features

  • Bluetooth 6.0 with Multipoint
  • Three EQ presets in the JBL Headphones app
  • Two beamforming mics

Bluetooth 6.0 is a notable upgrade over the Tune 720BT, and it brings two practical benefits: lower power consumption and reduced latency for video. In testing, the 730BT held a stable connection across a flat with the bedroom door shut, and audio stayed in sync during back-to-back YouTube clips and Netflix episodes.

Multipoint is the more useful addition. The 730BT can stay paired with two devices simultaneously and switches automatically between them when audio is requested.

JBL 730BT headbandJBL 730BT headband
Image Credit (Trusted Reviews)

Pause an Apple Music playlist on your phone, accept a Teams call on the laptop, and the headphones follow without intervention, something that shouldn’t be sniffed at on £39.99 headphones. Google Fast Pair and Microsoft Swift Pair handle initial pairing on Android and Windows, respectively.

The JBL Headphones app offers some interesting features, including smart audio and video modes to support your content. This becomes disabled when LE Audio mode is enabled. EQ presets are equally imaginative. Choose from Studio, Bass, Club, Extreme Bass, Vocal, or Jazz, with Studio set to default. Alternatively, there’s custom EQ functionality.

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JBL 730BT appJBL 730BT app
Image Credit (Trusted Reviews)

Relax mode is a small but thoughtful extra where you can build up to five custom mixes from a library of ambient sounds (rain, waves, white noise and the like), with a sliding bar that sets a timer for how long the mix plays. You can overlay sounds, too, although the result is more tsunami than Serengeti.

Two beamforming mics handle calls. Each earcup carries one mic, and the array is tuned to focus on the wearer’s voice while suppressing background noise. The performance is clear in quiet environments, decent on a windless street and patchy in busier ones.

Sound Quality

  • Warm, bass-led JBL Pure Bass tuning
  • Vocals sit forward in the mix
  • Treble too bright at high volumes

JBL Pure Bass is exactly what it sounds like: a low-end-led tuning that wants you to feel a kick drum more than count the cymbals. It suits modern pop, hip-hop, electronic and rock, and the 730BT delivers it competently. Run anything off Apple Music’s infectious Loops electronic playlist with the Studio preset, and the bass has weight without going boomy.

The Club preset provides an able alternative if the weekend really has landed, while Bass and Extreme Bass feel unnecessary and are best avoided unless you’re a complete heathen. Dip into Vocal or Jazz for more sedate listening habits, from the Sades et al of this world. 

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JBL 730BT earcupsJBL 730BT earcups
Image Credit (Trusted Reviews)

What surprises is the midrange. Bass is ever-present, but the 730BT keeps vocals forward enough that podcasts and audiobooks come through clearly, and even the intricacies of a fingerpicked guitar get time in the limelight.

Treble is the area most exposed to the budget. At low and moderate volumes, it’s clean and crisp; push past 80 per cent, and things become prickly. The Vocal EQ preset partly tames it; the Studio preset tolerates moderate volumes best. The overall soundstage is small, as it is with most closed-back budget headphones. Don’t expect spatial scale; do expect a focused, energetic presentation that flatters most modern production.

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Should you buy it?

I like a bassy bang for my buck

If you want long battery life, easy multipoint and competent JBL bass for £40, the Tune 730BT is an obvious pick

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I’ve booked a Jet2 holiday

A pair of JBL noise cancellers doesn’t cost that much more, and if you’re set on travelling, you’ll want the extra isolation.

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Final Thoughts

JBL has resisted the temptation to plaster the Tune 730BT spec sheet with features that wouldn’t survive the price, and instead focused on the basics that matter: comfort, battery life, connectivity, and tuning that suits the music most people listen to.

The 76 hours of playtime alone are enough to make this one worth the £39.99. Throw in Bluetooth 6.0 with Multipoint, foldable build, a custom EQ and six presets, Relax mode and Fast Pair on Android, and the 730BT comfortably outpaces what budget over-ears looked like even two years ago.

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Compromises are clearly signposted. There’s no ANC, no 3.5mm jack and no cable in the box. If any of those matter, the JBL Tune 780NC offers Adaptive ANC, Spatial Sound and a Hi-Res cable for £120, even if it’s going to eat into your Benidorm cocktail budget.

If you want a clean, comfortable, capable wireless headphone at a properly affordable price, you’re on safe ground here. Nevertheless, check out our best cheap headphones round-up for further choice.

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How We Test

I tested the JBL Tune 730BT using them as a daily commuter pair, a home-office headphone for video calls, and a casual everyday-listening option around the house.

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Music testing covered electronic, hip-hop, classical and acoustic singer-songwriter material, streamed primarily over Bluetooth from an iPhone 16e via Apple Music, with additional testing on a MacBook Air for Multipoint behaviour.

Battery life was assessed across a full discharge cycle from a full charge, with mixed Bluetooth and call use throughout.

  • On commutes
  • At a desk
  • Over a full charge cycle

FAQs

What’s the difference between the JBL Tune 720BT and Tune 730BT?

The 730BT upgrades to Bluetooth 6.0 with LC3 codec support, adds Google Fast Pair and improves the dual-mic call array. Battery life remains class-leading at 76 hours.

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Can the JBL Tune 730BT be used wired?

No. The 730BT is wireless-only. There is no 3.5mm jack, and the included USB-C port is for charging only — there is no wired Hi-Res audio mode.

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Full Specs

  JBL Tune 730BT Review
UK RRP £39.99
EU RRP €79.99
Manufacturer JBL
IP rating No
Battery Hours 76
Fast Charging Yes
Weight 218 G
ASIN B0FSH42VZW
Release Date 2025
Audio Resolution SBC, AAC, LC3
Driver (s) 40mm dynamic
Connectivity Bluetooth 6, Auracast
Colours Black, Blue, Beige, White
Frequency Range 20 2000 – Hz
Headphone Type Over-ear

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Faye Walsh Drouillard on building an impact fund from Ireland

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American-born, Ireland-based fund manager Faye Walsh Drouillard talks conviction, climate tech and what it takes to build an impact VC fund from scratch.

When Faye Walsh Drouillard sought out an impact-focused venture capital fund in Ireland, she looked at the market and could not find a structure that matched her vision. So she built one herself.

That instinct – to identify the gap and move – speaks to someone who has spent two decades operating at the intersection of purpose and capital. Born in Washington DC and raised in DC and California, Walsh Drouillard has lived in Europe for 20 years, 12 of them in Ireland, where she arrived initially due to her husband’s work in aircraft leasing. What began as a relocation for family reasons has, over time, become a genuine commitment to the Irish ecosystem and the founders building within it.

Her background is that of a social entrepreneur with deep roots in the nonprofit world and a long-standing preoccupation with two of the defining challenges of our time: climate change and inequality. Long before WakeUp Capital existed, she was active in angel investing, serving on non-profit boards and, increasingly, asking a question she found difficult to answer: where was the fund for founders building solutions to these problems?

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“I didn’t see anything here in the Irish market that was focused on those themes,” says  Walsh Drouillard. “And I also felt like those themes, particularly the climate side, were going to become more and more important to the global economy, and certainly within Ireland.”

“I like to build. I like to create, and I brought an entrepreneurial approach to building the fund. Joining an existing fund to try to do that work probably wasn’t the right fit –  it would probably not have worked out for anyone. I wasn’t going to wait for someone to tap me on the shoulder.”

A winding path

The seed of WakeUp Capital was planted in 2019, when Walsh Drouillard – then working in the angel investing world – made clear to a syndicate her interest in climate-tech opportunities. It was there she met Mark Peters, who at the time was at Google, and who would become her co-founder. Together, they spent the years that followed conducting market research, making four early investments across Ireland, the Netherlands and the UK, and laying the foundations of what would become a dedicated VC fund.

It was not, she acknowledges, a straightforward path. Building a first-time fund is challenging for anyone and especially for an outsider. Building one as a female general partner in venture capital adds a layer of difficulty that Walsh Drouillard is candid about. What got her through, she says, was a combination of conviction in the thesis, resilience and – she is quick to add – timing.

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“Across Europe right now, female GPs stand at about 15pc,” she says. “When I pitch to LPs, investors are looking for track record. There are not a ton of GPs in the world who are women focused on what I’m focused on, where they can say, ‘Oh yeah, I saw how that worked with that fund’. You need to continue to sell a promise of performance. You can’t really go back and say, ‘Have you seen how many fund managers just like me excelled over the last three years?’ So that can be hard.”

WakeUp Capital achieved its first close in 2024 and is currently working towards a final close in Q2 of this year. The fund now has eight companies in its portfolio, two of them Irish, with three additional Irish deals expected to close in the near term. The ambition is to invest with Irish companies as a primary market, though Walsh Drouillard is careful to frame that as a quality-driven target rather than a geographic obligation.

Measured impact

The fund occupies what Walsh Drouillard describes as a distinct position on the impact spectrum; it marries the commercial discipline and portfolio accountability of traditional venture capital with a mission-first focus on climate, health and inclusive tech. The fund seeks to deliver competitive market returns by backing scalable technologies where financial growth and measurable positive impact for the planet and society are closely linked.

“I’m not looking at sweet little metrics they can put in some ESG report that no one reads,” says Walsh Drouillard. “We cannot approve a deal without a recommendation from our Impact Advisory Committee. And part of our carry is linked to the impact success of the companies.”

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That rigour extends to every deal the fund considers. The impact advisory committee reviews each potential investment to ensure portfolio companies are addressing genuine market problems rather than simply wearing the impact label. It makes the work harder, Walsh Drouillard says. It also makes it more meaningful.

“When people go through the process, I think they’re quite impressed, but I think they also feel like it’s really a value-add as opposed to what I would call a sweet, ‘feel-goodery’ exercise,” she says.

On the fundraising side, the experience has been instructive. Institutions such as the Irish Strategic Investment Fund, the European Investment Fund and Enterprise Ireland have invested in the fund alongside private capital, though Walsh Drouillard is candid about the harder task of convincing larger private institutional LPs, whose focus on track record and proven returns can make a first-time fund a difficult sell.

The more receptive audience has been family offices, high net worth individuals and exited entrepreneurs – and, she tells me, an increasingly engaged cohort of US-based investors actively seeking European opportunities.

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Quality over geography

The question of geography is one Walsh Drouillard navigates carefully. Positioning Ireland as the fund’s primary market, she notes, can actually be counterproductive when talking to international LPs, which is why WakeUp Capital presents itself as Ireland-based but pan-European in scope. The Irish commitment is real, but it is the quality of deals that drives allocation, not the passport of the founder, she says.

Ireland’s start-up ecosystem, she tells me, is genuinely strong at the early stage. Enterprise Ireland and the broader support infrastructure provide a solid foundation, and there is real energy around entrepreneurship. But scaling remains a challenge, and in sectors like climate resilience, Walsh Drouillard identifies a gap in the kind of deep scientific and commercial expertise needed to evaluate technically complex opportunities. Ireland excels in software and medtech, she suggests, but the scientific and commercial knowledge required for some of the harder climate problems is not always easy to find.

It is a challenge she acknowledges close to home. Her own team brings very strong commercial and technical experience, she says, but evaluating the technical feasibility of certain climate and health-tech propositions requires additional scientific expertise, which the team is actively looking to engage.

Toward a transatlantic fund

On the broader European picture, Walsh Drouillard draws on her US background to offer a perspective that is both optimistic and clear-eyed. She is enthusiastic about the concept of EU Inc – the idea of Europe moving towards more unified, cross-border business structures – and draws a comparison to the successful introduction of the euro as evidence that the continent can embrace bold, unified approaches when the political will is there. What Europe sometimes needs, she suggests, is a more of the American bias towards possibility.

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“I love the 27-member-state European Union – I am a Europhile,” she says. “But I don’t understand the value of maintaining your own administrative processes when it comes to building businesses. The euro currency is the best analogy. We’ve done so many other things. I have yet to hear a compelling reason why we should do it 27 different ways.”

The long-term vision for WakeUp Capital is to become a globally respected climate impact investment fund. Fund 1 is the foundation. Fund 2, she envisages, could be transatlantic – a structure that would connect the European and US markets, reflecting both her own background and the inherently borderless nature of the problems she is working to help solve.

“For the second fund, which we hope to launch in the coming years, I still believe in the potential of a great relationship between Europe and the US,” she says, adding that the relationship is not exactly at its strongest now. “But as a citizen of both, I still think there is incredible opportunity for collaboration. It’s just a question of understanding where Europe has the right to win right now and optimising for that.”

“Being culturally fluent in both countries gives us a bit of an edge,” she adds. “I’m a believer in ‘let’s see where each place has the right to win’. We will find the edges and the opportunities within that.”

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As for her chosen path in the impact investment space, Walsh Drouillard is characteristically clear. “It’s not always easy. But it’s a privilege.”

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