Throughout its API Summit right this moment, Kong introduced a number of new options to assist enhance the best way builders handle their APIs.
It introduced that Kong Occasion Gateway will probably be added to Kong Konnect later this quarter. Kong Occasion Gateway was first launched earlier this yr, and it supplies a unified workspace for constructing, governing, securing, exposing, and publishing Kafka knowledge prefer it was an API.
Product groups can expose Kafka as HTTP APIs or as native Kafka providers that talk over the Kafka protocol.
In accordance with the corporate, the platform helps scale back the infrastructure burdens related to operating Kafka.
It additionally allows self-service entry for brokers and LLMs, permits groups to maneuver event-driven structure workloads to the cloud by providing a centralized technique for dealing with encrypted knowledge throughout shoppers, and supplies role-based entry management and authorization.
“With Occasion Gateway, enterprises can begin to drive extra ROI out of their occasion knowledge by way of knowledge productization and monetization,” stated Marco Palladino, CTO and co-founder of Kong. “Clients can proceed to de-fragment their knowledge ecosystem by unifying their strategy to API, AI, and, now, occasion knowledge.”
The corporate additionally introduced its new Metering & Billing functionality, which is powered by OpenMeter and supplies real-time utilization metering for API visitors. It allows builders to monetize their APIs whereas additionally optimizing development, decreasing churn, and capitalizing on alternatives.
It may be used to market take a look at, modify, and create completely different variations of merchandise and charge playing cards that adapt to market calls for.
Metering & Billing additionally permits builders to create entitlements, add-ons, and limits in order that they’ve better management over prices and may handle clients’ entry to options in real-time.
Builders will be capable of generate invoices on demand or on the finish of every billing cycle, and may have entry to complete dashboards and analytics to get insights into income, churn charge, and future income alternatives.
Kong’s Metering & Billing will probably be obtainable in Kong Konnect in This autumn of 2025. It was made attainable by way of the corporate’s latest acquisition of OpenMeter, an open-source platform for usage-based billing.
“By integrating OpenMeter into Kong Konnect, we’re giving organizations the instruments to remodel their digital providers into worthwhile property whereas sustaining robust governance within the agentic AI period. This unified strategy not solely accelerates monetization but in addition supplies deep insights to optimize methods, assist scale back churn, and capitalize on rising alternatives,” stated Ross Kukulinski, vp of product at Kong.
Lastly, the corporate introduced that Konnect Service Catalog now integrates with AWS API Gateway, permitting clients to find, visualize, and govern APIs which can be deployed in AWS, and be capable of handle them alongside their different APIs which can be managed in Kong’s platform.
This new integration was designed to assist handle the issue of API sprawl and supply clients with extra visibility into their API property.
“The up to date Konnect Service Catalog brings the APIs operating in AWS into the identical view as the remainder of your providers. It unlocks a brand new mannequin of entry and offers platform groups the governance instruments they should handle API sprawl with confidence,” stated Reza Shafii, senior vp of product at Kong.
“Unusual was obliged to invent a lot of the magic he did, working from normal rules and half-remembered tales from previous books.”
— Susanna Clarke, Jonathan Unusual & Mr Norrell
Fairy tales, myths, and fantasy fiction are stuffed with magic spells. You say “abracadabra” and one thing profound occurs.1 Say “open sesame” and the door swings open.
It seems that that is additionally a helpful metaphor for what occurs with giant language fashions.
I first acquired this concept from David Griffiths’s O’Reilly course on utilizing AI to spice up your productiveness. He gave a easy instance. You possibly can inform ChatGPT “Manage my process listing utilizing the Eisenhower four-sided field.” And it simply is aware of what to do, even if you happen to your self know nothing about Common Dwight D. Eisenhower’s method to determination making. David then suggests his college students as an alternative attempt “Manage my process listing utilizing Getting Issues Completed,” or simply “Use GTD.” Every of these phrases is shorthand for methods of thought, practices, and conventions that the mannequin has discovered from human tradition.
These are magic phrases. They’re magic not as a result of they do one thing unworldly and sudden however as a result of they’ve the ability to summon patterns which were encoded within the mannequin. The phrases act as keys, unlocking context and even whole workflows.
All of us use magic phrases in our prompts. We are saying one thing like “Replace my resume” or “Draft a Substack submit” with out pondering how a lot detailed prompting we’d should do to create that output if the LLM didn’t already know the magic phrase.
Each area has a specialised language whose phrases are recognized solely to its initiates. We may be fanciful and fake they’re magic spells, however the actuality is that every of them is mostly a form of fuzzy perform name to an LLM, bringing in a physique of context and unlocking a set of behaviors and capabilities. Once we ask an LLM to write down a program in Javascript fairly than Python, we’re utilizing considered one of these fuzzy perform calls. Once we ask for output as an .md file, we’re doing the identical. Not like a perform name in a standard programming language, it doesn’t all the time return the identical outcome, which is why builders have a chance to boost the magic.
From Prompts to Purposes
The following gentle bulb went off for me in a dialog with Claire Vo, the creator of an AI software known as ChatPRD. Claire spent years as a product supervisor, and as quickly as ChatGPT grew to become accessible, started utilizing it to assist her write product requirement paperwork or PRDs. Each product supervisor is aware of what a PRD is. When Claire prompted ChatGPT to “write a PRD,” it didn’t want a protracted preamble. That one acronym carried a long time {of professional} observe. However Claire went additional. She refined her prompts, improved them, and taught ChatGPT methods to suppose like her. Over time, she had educated a system, not on the mannequin stage, however on the stage of context and workflow.
Subsequent, Claire turned her workflow right into a product. That product is a software program interface that wraps up various associated magic phrases right into a helpful package deal. It controls entry to her custom-made magic spell, so to talk. Claire added detailed prompts, integrations with different instruments, entry management, and an entire lot of conventional programming in a next-generation software that makes use of a mixture of conventional software program code and “magical” fuzzy perform calls to an LLM. ChatPRD even interviews customers to study extra about their objectives, customizing the appliance for every group and use case.
You may as well see how magic phrases are crafted into magic spells and the way these spells are even a part of the structure of purposes like Claude Code by way of the explorations of builders like Jesse Vincent and Simon Willison.
In “How I’m Utilizing Coding Brokers in September, 2025,” Jesse first describes how his claude.md file gives a base immediate that “encodes a bunch of course of documentation and guidelines that do a reasonably good job maintaining Claude on monitor.” After which his workflow calls on a bunch of specialised prompts he has created (i.e., “spells” that give clearer and extra personalised that means to particular magic phrases) like “brainstorm,” “plan,” “architect,” “implement,” “debug,” and so forth. Observe how inside these prompts, he might use further magic phrases like DRY, YAGNI, and TDD, which seek advice from particular programming methodologies. For instance, right here’s his planning immediate (boldface mine):
Nice. I want your assist to write down out a complete implementation plan.
Assume that the engineer has zero context for our codebase and questionable style. doc every little thing they should know. which recordsdata to the touch for every process, code, testing, docs they could must test. methods to check it.give them the entire plan as bite-sized duties. DRY. YAGNI. TDD.frequent commits.
Assume they're a talented developer, however know virtually nothing about our toolset or drawback area. assume they do not know good check designvery nicely.
please write out this plan, in full element, into docs/plans/
Abilities are what give your brokers Superpowers. The primary time they actually popped up on my radar was just a few weeks in the past when Anthropic rolled out improved Workplace doc creation. When the function rolled out, I went poking round a bit – I requested Claude to inform me all about its new expertise. And it was solely too completely satisfied to dish…. [Be sure to follow this link! – TOR]
One of many first expertise I taught Superpowers was Easy methods to create expertise. That has meant that once I wished to do one thing like add git worktree workflows to Superpowers, it was a matter of describing how I wished the workflows to go…after which Claude put the items collectively and added a pair notes to the prevailing expertise that wanted to clue future-Claude into utilizing worktrees.
After studying Jesse’s submit, Simon Willison did a bit extra digging into the unique doc dealing with expertise that Claude had introduced and that had sparked Jesse’s brainstorm. He famous:
Abilities are extra than simply prompts although: the repository additionally contains dozens of pre-written Python scripts for performing frequent operations.
pdf/scripts/fill_fillable_fields.py for instance is a customized CLI software that makes use of pypdf to search out after which fill in a bunch of PDF kind fields, specified as JSON, then render out the ensuing mixed PDF.
It is a actually subtle set of instruments for doc manipulation, and I really like that Anthropic have made these seen—presumably intentionally—to customers of Claude who know methods to ask for them.
You possibly can see what’s taking place right here. Magic phrases are being enhanced and given a extra rigorous definition, and new ones are being added to what, in fantasy tales, they name a “grimoire,” or e-book of spells. Microsoft calls such spells “metacognitive recipes,” an exquisite time period that ought to get broadly adopted, although on this article I’m going to stay with my fanciful analogy to magic.
At O’Reilly, we’re working with a really totally different set of magic phrases. For instance, we’re constructing a system for exactly focused competency-based studying, by way of which our clients can skip what they already know, grasp what they want, and show what they’ve discovered. It additionally offers company studying system managers the flexibility to assign studying objectives and to measure the ROI on their funding.
It seems that there are dozens of studying frameworks (and that’s itself a magic phrase). Within the design of our personal specialised studying framework, we’re invoking Bloom’s taxonomy, SFIA, and the Dreyfus Mannequin of Ability Acquisition. However when a buyer says, “We love your method, however we use LTEM,” we are able to invoke that framework as an alternative. Each company buyer additionally has its personal specialised tech stack. So we’re exploring methods to use magic phrases to let no matter we construct adapt dynamically not solely to our finish customers’ studying wants however to the tech stack and to the educational framework that already exists at every firm.
That will be a nightmare if we needed to help dozens of various studying frameworks utilizing conventional processes. However the issue appears rather more tractable if we’re capable of invoke the precise magic phrases. That’s what I imply once I say that magic phrases are an important constructing block within the subsequent era of software programming.
The Structure of Magic
Right here’s the essential factor: Magic isn’t arbitrary. In each mythic custom, it has construction, self-discipline, and price. The magician’s energy will depend on understanding the precise phrases, pronounced in the precise approach, with the precise intent.
The identical is true for AI methods. The effectiveness of our magic phrases will depend on context, grounding, and suggestions loops that give the mannequin dependable details about the world.
That’s why I discover the rising ecosystem of AI purposes so fascinating. It’s about offering the precise context to the mannequin. It’s about defining vocabularies, workflows, and roles that expose and make sense of the mannequin’s skills. It’s about turning implicit cultural data into express methods of interplay.
We’re solely firstly. However simply as early programmers discovered to construct structured software program with out spelling out precise machine directions, as we speak’s AI practitioners are studying to construct structured reasoning methods out of fuzzy language patterns.
Magic phrases aren’t only a poetic picture. They’re the syntax of a brand new form of computing. As folks turn out to be extra snug with LLMs, they’ll go across the magic phrases they’ve discovered as energy consumer methods. In the meantime, builders will wrap extra superior capabilities round present magic phrases and maybe even train the fashions new ones that haven’t but had the time to accrete enough that means by way of vast utilization within the coaching set. Every software can be constructed round a shared vocabulary that encodes its area data. Again in 2022, Mike Loukides known as these methods “formal casual languages.” That’s, they’re spoken in human language, however do higher while you apply a little bit of rigor.
And not less than for the foreseeable future, builders will write “shims” between the magic phrases that management the LLMs and the extra conventional programming instruments and methods that interface with present methods, a lot as Claire did with ChatPRD. However finally we’ll see true AI to AI communication.
Magic phrases and the spells constructed round them are solely the start. As soon as folks begin utilizing them in frequent, they turn out to be protocols. They outline how people and AI methods cooperate, and the way AI methods cooperate with one another.
We will already see this taking place. Frameworks like LangChain or the Mannequin Context Protocol (MCP) formalize how context and instruments are shared. Groups construct agentic workflows that rely on a standard vocabulary of intent. What’s an MCP server, in any case, however a mapping of a fuzzy perform name right into a set of predictable instruments and companies accessible at a given endpoint?
In different phrases, what was as soon as a set of magic spells is turning into infrastructure. When sufficient folks use the identical magic phrases, they cease being magic and begin being requirements—the constructing blocks for the subsequent era of software program.
We will already see this development with MCP. There are three distinct sorts of MCP servers. Some, like Playwright MCP, are designed to make it simpler for AIs to interface with purposes initially designed for interactive human use. Others, just like the GitHub MCP Server, are designed to make it simpler for AIs to interface with present APIs, that’s, with interfaces initially designed to be known as by conventional applications. However some are designed as a frontend for a real AI-to-AI dialog. Different protocols, like A2A, are already optimized for this third use case.
However in every case, an MCP server is mostly a dictionary (or in magic phrases, a spellbook) that explains the magic phrases that it understands and methods to invoke them. As Jesse Vincent put it to me after studying a draft of this piece:
The half that feels probably the most like magic spells is the half that the majority MCP authors do extremely poorly. Every software has a “description” area that tells the LLM how you utilize the software. That description area is learn and internalized by the LLM and modifications the way it behaves. Anthropic are notably good at software descriptions and most everyone else, in my expertise, is…much less good.
In some ways, publishing the prompts, software descriptions, context, and expertise that add performance to LLMs could also be a extra essential frontier of open supply AI than open weights. It’s essential that we deal with our enhancements to magic phrases not as proprietary secrets and techniques however as shared cultural artifacts. The extra open and participatory our vocabularies are, the extra inclusive and inventive the ensuing ecosystem can be.
Footnotes
Whereas typically related as we speak with stage magic and cartoons, this magic phrase was apparently used from Roman occasions as a therapeutic spell. One proposed etymology means that it comes from the Aramaic for “I create as I communicate.”
Dependable Management for Mission-Essential UAVs: Volz Servos and Embention, the Spanish specialist for autonomous flight avionics, are long-time companions in aviation initiatives. And by integrating our high-reliability actuators with the Veronte Autopilot, we’re delivering a strong and adaptable resolution for UAV and eVTOL functions that function in essentially the most demanding circumstances.
“Veronte and Volz are an ideal match,” says Phillip Volz, CEO of Volz Servos. “Because the UAV ecosystem grows, elements have to be high-performance, adaptable, and resilient. This partnership delivers precisely that.”
“At Embention, we’re dedicated to constructing dependable autopilots and flight controllers options for the UAV trade“, provides Embention CBDO Javier Espuch. „Our collaboration with Volz strengthens this mission, combining their trusted actuation expertise with our Veronte Autopilot to make sure the best requirements of security, efficiency, and integration for mission-critical operations.”
The Veronte + Volz system combines dependable RS485 communication, real-time telemetry, and versatile configuration for clean integration throughout numerous platforms: from fixed-wing to VTOL. Its redundant structure ensures protected and steady operation, even in essential missions.
Collectively, Volz and Embention are serving to aerospace builders push the bounds of autonomous flight, bringing reliability and precision to the center of tomorrow’s air mobility.
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After final week’s $211 million raised throughout six startups – that largely to Heidi Well being’s $98m Seris B in addition to particulars of Octopus Deploy’s 2024 $45.6m spherical rising, mid October appears extra regular, with six Australian firms collectively elevating a collective $13.4m.
The most important increase got here from GXE, which secured $3.3 million in Sequence A funding for its non-public asset administration platform, adopted by local weather tech startup Conry Tech, Optimaze, Good Warmth, PredicTX and Inaam rounding out the record.
GXE: $3.3 million
GXE co-founders Ed Hooper and Andrew Armstrong. Supply: Provided.
Serial entrepreneurs Ed Hooper and Andrew Armstrong lead this week’s funding round-up, after elevating $3.3 million in an oversubscribed Sequence A spherical for his or her all-in-one platform that gives a “less complicated and smarter” approach to handle non-public belongings.
That is the third capital increase for GXE, which was based by Hooper and Armstrong in 2020, one 12 months after Omny Studio, the audio administration platform they co-founded in 2012, was bought to Los Angeles-based Triton Digital.
An earlier iteration of the corporate, referred to as Startup Galaxy, offered a startup listing and jobs board earlier than later including an funding characteristic.
The most recent funding spherical included participation from US-based fund Second Century Ventures and Australian buyers Archangel and Australian Medical Angels. It brings GXE’s complete funding raised thus far to $5.3 million.
GXE’s software program platform acts as a one-stop store for fund managers, household workplaces and funding professionals to handle their non-public investments higher. It’s designed to assist these buyers streamline operations by bettering the effectivity of their securities administration, investor communications, and tax and regulatory compliance.
Melbourne-based local weather tech startup Conry Tech has raised $3 million in seed funding for its Australian-made air-con system, named BullAnt.
The spherical was led by specialist local weather investor Audacy. It follows a $1.6 million pre-seed increase in late 2024 and brings Conry Tech’s complete capital raised to $13 million.
The startup, which was based in 2020 by HVAC business veteran Ron Conry, alongside Sam and Brenda Ringwaldt, is planning to lift a Sequence A spherical in 2026.
It should use the brand new funding to progress the subsequent steps for taking its air-conditioning system to market, highlighting its skill to considerably scale back industrial vitality payments and carbon emissions.
“The intention is easy. Construct the world’s finest air-conditioner,” stated CEO Sam Ringwaldt.
“We’ve spent 5 years in R&D to get so far, and this increase permits us to speed up by the subsequent steps of our go-to-market technique.”
Optimaze founders Dawshiek Yogathasar and Ralf Capel. Supply: Provided.
An AI-based “cloud waste” startup has raised $3 million in pre-seed funding to assist firms save billions on their cloud prices.
The spherical for Optimaze was led by Arconic and The Innovation Membership. The Sydney startup is presently in non-public beta, with a waitlist for preview entry to the software program.
The funding will probably be used to increase its engineering crew, speed up the product roadmap, and arrange strategic partnerships with cloud providers, kicking off with AWS.
Australian spending on cloud computing is anticipated to hit $15 billion subsequent 12 months, and Gartner estimates at the least 30% of cloud spend is wasted.
However Optimaze founders Ralf Capel and Dawshiek Yogathasar imagine the true price and inefficiency might be considerably larger than $4.5 billion, particularly when the environmental impacts are additionally taken under consideration.
“Cloud waste has spiralled uncontrolled, costing companies billions and demanding roughly 1% of worldwide vitality consumption,” Capel stated.
“As an alternative of addressing the basis trigger, at this time firms are pouring extra money into increasing cloud infrastructure and monetary operations, making the issue exponentially worse.
Good Warmth cofounders Bauke van Gent, Tom Geiser and Bruis van Vlijmen. Supply: Provided
A Sydney startup utilizing batteries to exchange fuel for industrial warmth and reduce enterprise vitality prices has raised greater than $2 million.
Good Warmth will deploy large-scale thermal vitality storage methods powered by low cost renewable electrical energy to supply industrial warmth at costs beneath fuel.
Plans for Australia’s largest warmth battery improvement, for a major industrial buyer, are already underway in Victoria, with the startup saying the venture will save the manufacturing facility greater than $1.5 million yearly on its vitality invoice, in addition to reduce carbon emissions by changing fuel.
The increase was led by Understorey Ventures, the household fund of AstraZeneca CEO Pascal Soriot, with help from native local weather tech VC Investible, and 2100VC, the European fund linked to the Benetton industrial group.
Good Warmth was co-founded by Bauke van Gent, Tom Geiser and Bruis van Vlijmen in early 2025.
Their expertise spans greenfield vitality venture improvement and vitality markets on the likes of Neon and Infigen, in addition to batteries.
PredicTx co-founders Abhijeet Waykar and professor Justin Yeung. Supply: Provided.
PredicTx Well being, a College of Melbourne spin-out that makes use of AI to personalise chemo dosing based mostly on physique composition evaluation, has raised $1.6 million in contemporary capital.
The funding got here from the college’s Genesis Pre-Seed Fund, a authorities grant and angel funding, and will probably be used to commercialise a world-first AI-powered precision oncology platform.
PredicTx was co-founded by professor Justin Yeung, head of surgical procedure at Western Well being, and Abhijeet Waykar, founder of worldwide health-integration startup Lenia Well being, utilizing College of Melbourne analysis.
The venture is supported by Western Well being, the place the primary medical validation research will probably be held.
Waykar stated the funding from Genesis is the College of Melbourne’s endorsement of the industrial viability and international potential of PredicTx’s expertise, which makes use of CT scans and machine studying to analyse a affected person’s muscle and bone composition, permitting clinicians to personalise chemotherapy doses relatively than counting on the present one-size-fits-all “physique floor space” methodology.
“This increase provides us the momentum to maneuver from analysis into real-world medical impression,” he stated.
“Our speedy focus is on validating the expertise with oncologists and most cancers centres in Australia and India, earlier than scaling internationally.”
Inaam founder Arjun Agarwal (centre) with the crew. Supply: Provided.
Melbourne-based startup Inaam has secured $500,000 in pre-seed funding to gas the launch of its impression funding platform for younger buyers.
The funding comes from Startupbootcamp’s Sustainable Fintech Fund and Singapore-based enterprise capital agency Hatcher+ VC, in addition to Startmate mentors, executives from ASX50-listed firms, some distinguished ladies buyers and household workplaces.
Based by CEO Arjun Agarwal, Inaam’s objective is to assist younger folks make investments responsibly and monitor the real-world results of their investments.
These buyers can use the platform to entry customized micro-portfolios beginning at $10 a month, whereas additionally bettering their funding literacy by way of the app’s gamified consumer expertise.
Inaam additionally permits customers to measure the results of their investments in tangible phrases, similar to bushes planted, renewable vitality generated, or carbon emissions prevented.
We have seen synthetic intelligence give some fairly weird responses to queries as chatbots develop into extra widespread. At present, Reddit Solutions is within the highlight after a moderator flagged the AI software for offering harmful medical recommendation that they have been unable to disable or cover from view.
The mod noticed Reddit Solutions counsel that individuals experiencing power ache cease taking their present prescriptions and take high-dose kratom, which is an unregulated substance that’s unlawful in some states. The person stated they then requested Reddit Solutions about different medical questions. They acquired doubtlessly harmful recommendation for treating neo-natal fever alongside some correct actions in addition to options that heroin may very well be used for power ache aid. A number of different mods, significantly from health-focused subreddits, replied to the unique publish including their issues that they don’t have any approach to flip off or flag an issue when Reddit Solutions has supplied inaccurate or harmful info of their communities.
A consultant from Reddit instructed 404 Media that Reddit Solutions had been up to date to handle a few of the mods’ issues. “This replace ensures that ‘Associated Solutions’ to delicate matters, which can have been beforehand seen on the publish element web page (often known as the dialog web page), will not be displayed,” the spokesperson instructed the publication. “This modification has been applied to reinforce person expertise and keep acceptable content material visibility inside the platform.” We have reached out to Reddit for extra remark about what matters are being excluded however haven’t acquired a reply at the moment.
Whereas the rep instructed 404 Media that Reddit Solutions “excludes content material from personal, quarantined and NSFW communities, in addition to some mature matters,” the AI software clearly would not appear outfitted to correctly ship medical info, a lot much less to deal with the snark, sarcasm or potential unhealthy recommendation which may be given by different Redditors. Apart from the most recent transfer to not seem on “delicate matters,” it would not seem to be Reddit plans to supply any instruments to manage how or when AI is being proven in subreddits, which might make the already-challenging job of moderation almost unimaginable.
Why cannot the macOS machine open any recordsdata within the shared folder that have been transferred from the Linux machine? The permissions appear to be appropriate. The shared folder is situated on the macOS machine / it owns the shared folder.
I’ve a shared folder on macOS Catalina (It is simply the default Public folder) that may be accessed by an Ubuntu machine. The share is ready up utilizing SMB.
If the Linux machine copies over a photograph, textual content file, no matter into the shared folder, the macOS machine can’t open it. I get a permissions error. If the macOS machine does the identical, the Linux machine has no issues in any way.
I’ve tried many settings on macOS to no avail together with "Apply to enclosed objects".
Here is a screenshot of all of the sharing settings on macOS so you’ll be able to see what I’ve executed.
The primary screenshot exhibits the error when the admin account on macOS tries to open any file that was transferred from the Linux machine. The account has learn/write permissions to the shared folder. Even when I copy a file to the macOS desktop, the error persists.
The second screenshot exhibits Sharing settings in System Preferences. The blacked out components are simply the folder identify and the 2 customers who’ve entry to mentioned folder. One person is the macOS admin account, the opposite person is login credentials for the Linux machine.
The third screenshot is particulars of the shared folder by proper clicking > Get Information.
macOS Catalina is the machine sharing the folder
Ubuntu 20.0.4 can see the shared folder and use it with out situation
The machines are linked on an area community
The Linux machine has it is personal login credentials to the shared folder that have been arrange on the mac. It’s not utilizing a "visitor" account.
As anticipated, Vertu has made the Agent Q smartphone official in the present day at Harrods in London. The telephone comes with a 6.02″ AMOLED display with 1080×2340 decision and 120Hz refresh price, the Snapdragon 8 Elite SoC on the helm (and it is the “Supreme” higher-bin model), 16GB of RAM, 512GB/1TB of storage, and a 5,565 mAh battery with 65W wired charging assist.
There is a 50 MP most important digicam with OIS, which has a 35mm focal size and makes use of Sony’s IMX906 sensor with variable f/1.59-4.0 aperture, a 50 MP ultrawide utilizing OmniVision’s 1/2.88″ OV50D sensor with 2.5cm Tremendous Macro functionality and 122-degree discipline of view, and a 64 MP telephoto digicam with 2x optical zoom and OIS, utilizing OmniVision’s OV64B sensor. For selfies you get a 32 MP snapper.
The Agent Q boasts twin stereo audio system with DTS Extremely, a devoted {hardware} encryption chip, and also you get 10TB of cloud storage whenever you purchase one. The Ruby Secret’s reborn as Ruby Speak, with a single press partaking “the AIGS community, a distributed community of over 200 specialised brokers able to execute instructions”, in line with the official press launch. So principally Vertu’s human concierge service has been changed by AI “brokers”, however fortunately you may revert to a human concierge 24/7 when the AI fails you.
The Agent Q is “sheathed in immaculate crocodile leather-based, adorned with a falcon-wing SIM chamber, and perfected by a Swiss hinge, 320 hand-assembled elements, U-shaped seamless forming, thick gold plating, and a ceramic pillow”, no matter any of which means. In case you have been questioning, “this isn’t design”, “that is ceremony”.
Pricing hasn’t been introduced. You’ll be able to solely purchase an Agent Q from Harrods in London, which represents “a return to Vertu’s non secular residence – the top of luxurious, now paired with groundbreaking innovation”.
Interviews with world-class product leaders and development consultants to uncover actionable recommendation that can assist you construct, launch, and develop your individual product.
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We’re happy to announce that the early entry program (EAP) is now underway for the most recent Sophos Firewall launch. This replace brings a number of Safe by Design enhancements and lots of of your prime requested options.
Safe By Design
Web dealing with infrastructure has not too long ago come below growing assaults to take advantage of vulnerabilities and different weaknesses to realize a foothold on networks.
As you recognize, at Sophos, we take safety very severely and during the last a number of releases we’ve got invested in implementing many Safe By Design ideas to harden the product and make it a way more tough goal. This launch takes Safe by Design to an entire new stage.
Sophos Firewall Well being Test
A robust safety posture is dependent upon preserving your firmware updated and making certain your firewall is optimally configured. Sophos Firewall v22 makes it a lot simpler to judge and deal with the configuration of your firewall with the brand new Well being Test characteristic.
This new characteristic evaluates dozens of various configuration settings in your firewall and compares them with CIS benchmarks and different greatest practices, offering speedy insights to areas that could be in danger. It should determine all high-risk settings and supply suggestions with fast drill-down to the areas of concern so you may simply deal with them.
The well being test standing is displayed on a brand new Management Heart widget and a full report is on the market below the “Firewall well being test” most important menu merchandise.
Different Safe By Design enhancements:
Subsequent-gen Xstream Structure – introduces an all-new management aircraft re-architected for max safety and scalability to take us into the long run. The brand new management aircraft allows modularization, isolation, and containerization of companies like IPS for instance, to run like “apps” on the firewall platform. It additionally allows full separation of privileges for added safety. As well as, high-availability deployments now profit from a self-healing functionality that’s repeatedly monitoring system state and fixes deviations between units mechanically.
Hardened kernel – The following-gen Xstream Structure in Sophos Firewall OS is constructed upon a brand new hardened kernel (v6.6+) that gives enhanced safety, efficiency, and scalability to maximise present and future {hardware}. This new kernel presents tighter course of isolation and higher mitigation for side-channel assaults in addition to mitigations for CPU vulnerabilities (Spectre, Meltdown, L1TF, MDS, Retbleed, ZenBleed, Downfall). It additionally presents hardened usercopy, stack canaries, and Kernel Handle House Structure Randomization (KASLR).
Distant integrity monitoring – Sophos Firewall OS v22 now integrates our Sophos XDR Linux Sensor that allows real-time monitoring of system integrity, together with unauthorized configuration, rule exports, trojan horse execution makes an attempt, file tampering, and extra. This helps our safety groups, who’re proactively monitoring our total Sophos Firewall set up base to raised determine, examine, and reply extra rapidly to any assault. That is an added safety functionality that no different firewall vendor supplies.
New anti-malware engine – Sophos Firewall OS v22 integrates the most recent Sophos anti-malware engine with enhanced zero-day real-time detection of rising threats utilizing world fame lookups. It takes full benefit of SophosLabs’ huge cloud database of recognized malicious recordsdata, up to date each 5 minutes or much less. It additionally introduces AI and ML mannequin detections and delivers enhanced telemetry to SophosLabs for accelerating their rising risk detection evaluation.
Different safety and scalability enhancements:
Firmware updates by way of SSL and certificates pinning ensures authenticity
NDR Necessities risk rating is included in Logs for added insights
NDR Necessities information middle choice for information residency necessities
Immediate internet class alerts for schooling establishments
XML API entry management enhancements with added granularity
TLS 1.3 help for system entry for the WebAdmin console and portals
Streamlined administration and high quality of life enhancements:
Enhanced navigation efficiency
{Hardware} monitoring for SNMP with a downloadable MIB
sFlow Monitoring for real-time visibility
NTP server settings defaults to “Use pre-defined NTP server”
UI enhancements for XFRM interfaces with pagination and search/filter choices
SG UTM options:
With Sophos UTM heading towards end-of-life quickly (July 30, 2026), some migrating prospects will respect these added options:
SHA 256 and 512 help for OTP tokens
MFA help for WAF form-based authentication
Audit path logs with earlier than and after monitoring to satisfy the most recent NIST requirements
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You may obtain the improve bundle or installer for v22 from the Sophos Firewall v22 EAP Registration Web page. Merely submit your particulars and the obtain hyperlinks will probably be emailed to you right away.
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Please present suggestions utilizing the choice on the prime of each display in your Sophos Firewall as highlighted under in pink or by way of the Group Boards.
The picture of a healthcare skilled has lengthy been related to stethoscopes, white coats, and the instant, private contact of affected person interplay. Whereas these core parts stay very important, a seismic shift is underway, pushed by the exponential development of knowledge and its profound integration into each side of healthcare. This fusion of knowledge science and affected person care is not only a technological development, it’s a catalyst for an thrilling enlargement of profession alternatives, demanding new ability units and redefining current roles.
The next are some methods wherein information and affected person care are positively affecting healthcare.
Knowledge in Healthcare
Healthcare generates an unimaginable quantity of knowledge every day. From digital well being information (EHRs) and diagnostic imaging to genomic sequences, wearable system outputs, and medical trial outcomes, this info holds the important thing to unlocking unprecedented insights. Early on, this information was typically siloed and underutilized, accessible solely by means of guide evaluation. Nonetheless, developments in computing energy, synthetic intelligence (AI), and machine studying (ML) have reworked this deluge right into a wealthy useful resource, ripe for exploitation.
This information revolution is essentially altering how we perceive, diagnose, deal with, and stop sickness. Customized drugs, fueled by genomic information, tailors therapies to a person’s distinctive genetic make-up. And strong information evaluation can optimize operational effectivity inside hospitals, main to higher useful resource allocation and finally improved affected person outcomes.
Rising Roles
This data-centric transformation is creating a requirement for completely new skilled classes and considerably evolving current ones. Listed here are some key areas the place careers are burgeoning:
Well being Informatics and Knowledge Science Specialists: Well being Informaticians bridge the hole between medical apply and information administration. They design, develop, and implement methods for accumulating, storing, and analyzing well being information. Knowledge scientists, then again, possess superior statistical and computational abilities to extract significant patterns and insights from advanced datasets. They construct predictive fashions, develop algorithms for diagnostic assist, and contribute to analysis that drives evidence-based apply.
Medical Knowledge Analysts: For anybody questioning what you are able to do with and MHA diploma or different masters and doctorate degree applications have to supply the healthcare trade, contemplate this: Whereas information scientists may concentrate on broader, foundational fashions, medical information analysts are extra instantly concerned in deciphering information inside particular affected person care contexts. They translate uncooked information into actionable info for clinicians, directors, and researchers, making certain that data-driven choices are knowledgeable and efficient.
AI/ Machine Studying Engineers in Healthcare: The applying of AI and ML in healthcare is quickly increasing, from drug discovery and growth to personalised therapy suggestions and robotic surgical procedure. AI/ML engineers are the minds behind these refined methods. They develop, practice, and deploy algorithms that may be taught from information and carry out duties that historically required human intelligence.
Bioinformatics and Genomics Professionals: The explosion of genomic information has opened up immense prospects in understanding illness etiology and creating focused therapies. Bioinformaticians and genomics specialists analyze DNA and RNA sequences, figuring out genetic predispositions to ailments, understanding gene expression patterns, and contributing to the event of gene therapies and personalised therapies.
Embracing Knowledge
It’s not nearly creating new roles, current healthcare professionals are additionally being empowered and challenged by this information revolution. Physicians, nurses, pharmacists or pharmacologists, and therapists are more and more anticipated to be data-literate. They should perceive how one can interpret information introduced to them, leverage AI-powered resolution assist instruments, and contribute to the continuing assortment and validation of medical information.
Physicians are benefiting from AI-driven diagnostic aids, personalised therapy plans, and predictive analytics that flag high-risk sufferers. Nurses can make the most of information dashboards to observe affected person very important indicators remotely, anticipate potential issues, and optimize care supply. Pharmacists are utilizing information to personalize remedy regimens and establish potential drug interactions.
The Future is Interconnected
The intersection of knowledge and affected person care shouldn’t be a fleeting development however the way forward for healthcare. As know-how continues to advance, so too will the alternatives inside this dynamic discipline. Professionals who can bridge the worlds of know-how and drugs – those that can perceive advanced information, develop revolutionary options, and translate them into tangible enhancements in affected person well-being – will probably be on the forefront of shaping a more healthy tomorrow. This convergence guarantees a healthcare panorama that’s extra exact, proactive, personalised, and finally, simpler than ever earlier than.
