soc.octade.net is a Fediverse instance that uses the ActivityPub protocol. In other words, users at this host can communicate with people that use software like Mastodon, Pleroma, Friendica, etc. all around the world.

This server runs the snac software and there is no automatic sign-up process.

Admin email
social@octade.net

Search results for tag #technology

[?]ADHDBard » 🌐
@rogerc2738@social.vivaldi.net

It’s official: EU will force Google to share search data and open up AI on Android
Google says these changes could endanger user privacy and security.

share.google/dRxYCBqupwRQI8Nr5

    [?]Jon S. von Tetzchner » 🌐
    @jon@social.vivaldi.net

    We are getting more and more questions about using Vivaldi inside larger organizations.

    There is an understanding that relying on Big Tech is a bad idea and Vivaldi has a lot of unique features, but also avoids adding certain functionality that is unwanted both by users and organizations. There is no AI built into Vivaldi, no profiling of users and no Crypto currencies.

    We are adding functionality for managed deployment and updates, as well as policy management.

    If you are interested, contact us on the address below.

    vivaldi.com/enterprise/

      JJDavis :terminal: boosted

      [?]Flipboard Tech Desk » 🌐
      @TechDesk@flipboard.social

      Madison Square Garden is suing @WIRED over stories relating to surveillance at the venue. Wired stands by its reporting and has lifted the paywall on two of the stories so you can read them for yourself. Here they are:

      flip.it/CmOGtT
      flip.it/2n8E4_

        [?]Nick Espinosa » 🌐
        @NickAEsp@mastodon.social

        [?]Nick Espinosa » 🌐
        @NickAEsp@mastodon.social

        oheso boosted

        [?]Daniel Fisher » 🌐
        @electrafish@social.electrafish.tech

        Follow up article to Joel Feder getting pulled over when Flock flagged plates on his loaner Land Rover as stolen (they weren't)

        "On Wednesday, fellow auto journalist Tim Esterdahl, publisher of Pickup Truck + SUV Talk, was pulled over by two officers in Scotts Bluff, Nebraska while driving his 14-year-old kid in a $105,000 Range Rover Sport that JLR loaned him to review. The plates on it? Yep: New Jersey 34 08 DTM."

        "This time, the plates were not stolen. The Range Rover wasn’t stolen. My wife and I were not 'persons wanted.' The same story goes for Esterdahl, and who knows how many other people are getting caught up in the 200 million misreads a month by Flock’s cameras and the police making mistakes. The technology is moving so fast without guardrails in place and it’s amplifying human errors, humans aren’t catching the errors on the front or middle or back end of the loop, at least not in this case, and it could’ve led to someone getting hurt or even killed.

        "Thomas agreed and told me, 'This was a really bad thing that happened to you. I’m really thankful that your kids weren’t in the car. I’m thankful.' I’ll bet he is."

        thedrive.com/news/inside-the-f

          [?]Matt Vestengen-Cox [He/Him] » 🌐
          @matt@oslo.town

          The server that I was using seems to have stopped working for receiving messages, which sucks 😞 but such is the nature of decentralisation 🤷

          It's really easy just to start a new account on a new server - so that's not really a problem - but I'm lucky that I only have one contact that message on the app because "re-adding" people isn't super straight forward. 🤔

            [?]gtbarry » 🌐
            @gtbarry@mastodon.social

            Facewatch retail facial recognition to notify police of repeat offender matches

            The Facewatch live facial recognition system used by over 125 retailers operating thousands of stores across the UK will soon send instant calls to police “when the most serious offenders trigger a live facial recognition match on entering a participating store"

            biometricupdate.com/202607/fac

              [?]Flipboard Tech Desk » 🌐
              @TechDesk@flipboard.social

              China's Moonshot AI launched its largest model ever — and rival AI stocks plunged.

              @quartz reports: "Kimi K3, a 2.8-trillion-parameter open-weight model, outperformed several leading U.S. systems on some benchmarks while pricing below top-tier American rivals."

              flip.it/v2.ABK

                [?]Jon Snow » 🌐
                @jonsnow@mastodon.online

                LG TVs and monitors said to surveil users and install bloatware without asking

                Anyone who owns an LG smart TV must inform all guests and family members that they are being monitored – this is required by LG’s current terms of use. Meanwhile, LG monitors install potential malware and surveillance software on a connected Windows computer.

                notebookcheck.net/LG-TVs-and-m

                  [?]Robert Kingett » 🌐
                  @WeirdWriter@caneandable.social

                  ... [SENSITIVE CONTENT]

                  Link at bottom. In my quest to get others to visit my website to see what I am up to instead of wondering why I am not posting or interacting on Facebook, I got this reply, which just made me sad.

                  > Hey bro! Is this your website thing? But I only visit links I know, and I've never seen Sightless Scribbles before. I don't understand why you can't just post on Facebook where I don't have to click on links I don't know. can you make it easier on me and just post your blogs to your Facebook or get a Substack? If you blogged somewhere I know, I’d read it.

                  I think this fear of links is the worst thing to happen to the internet. Tech literacy is still an all time low, even in people younger than me. Tech literacy should be a mandatory requirement in all schools, and yes, I mean learn stuff like, what a link is. how to read a link. What HTTPS means. How email works under the hood. I don't mean code or programming.

                  My website is sightlessscribbles.com/

                    [?]Blackout VPN » 🌐
                    @blackoutvpn@mastodon.social

                    Flock Told LAPD These Cars Were Stolen. 161 Times It Was Wrong.
                    An LAPD audit found stale hot list data sending armed officers to drivers who had done nothing.

                    blackoutvpn.au/blog/flock-lapd

                      soapdog boosted

                      [?]dallo » 🌐
                      @dallo@pouet.chapril.org

                      Generative AI Is an Engineering Disaster

                      theatlantic.com/technology/202

                      > A shockingly inefficient trillion-dollar project

                        [?]• Łącze » 🌐
                        @Lacze@hear-me.social

                        Mullvad VPN Did A Complete F*CK-UP

                        m.youtube.com/watch?v=7UmyDGjx

                        „Mullvad founder and co-owner Daniel Berntsson donated five million Swedish Krona, ~$500k, to a local political party in Sweden. That on its own is a red flag to someone like me, who believes private donations to politicians and their parties should be illegal. But that’s not the biggest problem of this donation.

                        The biggest problem is what kind of a party this Mullvad owner personally donated to. It’s to the Örebro Party. A party with policies so broad and across the spectrum they seem to appeal to everyone all at once. But one of them, the key one in fact, stands out as the most incompatible with privacy and personal freedom. Values that the Mullvad company claims to uphold.

                        Örebro's political platform amounts to establishing a deeply authoritarian surveillance state in order to enforce their policies. If I just told you what it is you might not immediately see why it’s a problem so let me give you a deep political analysis of this situation."

                        _____

                          [?]TechWire ⚡ » 🤖 🌐
                          @techwire@social.gamefan.net

                          OnePlus officially gives up on the US and Europe

                          The OnePlus 15 was the company’s final US flagship. | Photo: Allison Johnson / The Verge OnePlus has confirmed what industry observers have long expected: it's quitting the US and European markets, and will no longer la…

                          theverge.com/tech/966404/onepl

                          [The Verge]

                            [?]knoppix » 🌐
                            @knoppix95@mastodon.social

                            The US House passed the KIDS Act, a bill that would introduce internet age-gating measures aimed at protecting minors online. 🏛️
                            EFF argues the proposal would expand online surveillance instead of privacy protections, with broader implications for anonymity and the open web. 🔒

                            @eff

                            🔗 eff.org/deeplinks/2026/07/dont

                              [?]Broadband.Breakfast » 🌐
                              @BroadbandBreakfast@mastodon.social

                              Great conversation today on copyright, AI, ISP's, and privacy. Thanks to everyone who tuned in and asked questions. A special thanks to Corynne McSherry for sharing her knowledge and perspective.

                              Next week: what's happening with non-deployment funds. Catch it → chat.broadbandbreakfast.com/c/

                              A screenshot of the livestream.

                              Alt...A screenshot of the livestream.

                                [?]Flash Mob Of One » 🌐
                                @FlashMobOfOne@mstdn.social

                                Hey all! For I wanted to share my most recent video.

                                It's gotten a great response. It's the story of a Virginia vigilante who took out a whole bunch of Flock cameras and got arrested, but he's fighting back. I also give some background on why opposing Flock is a good thing.

                                If you give it a watch, all I ask is you hit the like button. Doing so gives us smaller creators a huge boost. Thank you!

                                youtu.be/Y2A66tDGwFo

                                  [?]The Internet is Crack » 🌐
                                  @theinternetiscrack@mastodon.social

                                  Wearable AI Is Raising New Privacy Questions.

                                    [?]Black Sail Studio » 🌐
                                    @blacksailstudio.wordpress.com@blacksailstudio.wordpress.com

                                    Building a Local AI Information-Gathering Phone Line

                                    https://youtu.be/Yodq7gG_F3I

                                    Modern voice agents are often presented as cloud services: a caller speaks, a remote platform transcribes the audio, a hosted language model generates a response, and another service synthesizes the reply.

                                    For this project, I wanted to explore a different approach.

                                    The goal was to build a locally controlled conversational phone-line prototype capable of gathering structured information from a caller while maintaining context throughout the interaction.

                                    The system uses a locally hosted Gemma 4 model for dialogue, local speech recognition for transcription, and Kokoro 82M for text-to-speech. A custom Python application coordinates the entire interaction and presents it through a phone-style interface.

                                    The result is an automated intake agent named Eva.

                                    The Test Scenario

                                    For the demonstration, Eva was configured to behave like a corporate information-gathering agent.

                                    The caller began with a simple greeting. Eva then guided the conversation through a sequence of intake questions:

                                    • Full name
                                    • Company or organization
                                    • Callback number
                                    • Email address
                                    • Case, ticket, order, or reference number
                                    • General reason for the call
                                    • Product or service involved
                                    • Date and approximate time of the reported issue

                                    The caller did not have to complete a rigid form or choose numbered menu options. Instead, the information was collected through natural conversation.

                                    A portion of the interaction looked like this:

                                    Eva: Hello. Thank you for contacting us. My name is Eva. To begin, may I please have your full name?
                                    Caller: John Michael Smith.
                                    Eva: Thank you, John Michael Smith. May I also have the company or organization you are calling from?

                                    As the conversation continued, Eva retained the previously supplied information and advanced to the next relevant question.

                                    When the caller explained that they were upset about new automated systems, Eva did not restart the intake process or lose track of the conversation. She asked a follow-up question to determine which product or service was involved.

                                    That contextual continuity is the most important part of the demonstration.

                                    The Core Architecture

                                    The system is built as a real-time conversational pipeline:

                                    Microphone input

                                    Speech-to-text

                                    Conversation controller

                                    Gemma 4 through LM Studio

                                    Kokoro 82M text-to-speech

                                    Audio playback

                                    Each component has a distinct responsibility.

                                    The speech-to-text layer converts the caller’s voice into text. The conversation controller maintains the active call state and sends the transcript to the language model. Gemma 4 evaluates the current message alongside the prior conversation and produces the next response. Kokoro 82M then converts that response into spoken audio.

                                    The Python application ties these systems together.

                                    It manages:

                                    • Microphone capture
                                    • Voice activity detection
                                    • Turn-taking
                                    • Conversation history
                                    • System prompts
                                    • Model requests
                                    • Voice generation
                                    • Audio playback
                                    • Call state
                                    • Session termination
                                    • Persistent memory
                                    • Transcript logging

                                    The language model is only one component of the system. The surrounding orchestration is what makes the experience feel like a coherent call rather than a sequence of unrelated AI requests.

                                    Why Conversation History Matters

                                    A language model does not automatically remember everything that happened earlier in a call.

                                    The application must preserve the conversation and provide the relevant history with each new request.

                                    Without that context, an information-gathering agent might repeatedly ask for the caller’s name, forget which fields were already completed, or ask questions in an inconsistent order.

                                    In this prototype, the conversation controller tracks both sides of the exchange:

                                    System instructions

                                    Caller message

                                    Agent response

                                    Caller message

                                    Agent response

                                    That history allows the model to understand which information has already been collected and what still needs to be asked.

                                    It also enables more natural follow-up behavior.

                                    For example, when the caller says:

                                    “I am upset about the new automated systems.”

                                    Eva can interpret that statement as the reason for the call and ask which product is affected, rather than simply continuing through an unrelated checklist.

                                    Structured Behavior Without a Traditional Form

                                    One of the interesting aspects of this design is that the model can follow a structured intake objective without forcing the caller through a conventional form.

                                    The system prompt defines the agent’s responsibilities, tone, required information, and conversational boundaries.

                                    The agent can then gather the same fields a form would collect while allowing the caller to speak naturally.

                                    This creates a hybrid between two familiar systems:

                                    Rigid automated phone menu

                                    +

                                    Human-style conversational intake

                                    The structured requirements remain in place, but the interface becomes conversational.

                                    That can be useful in situations where callers may not know how their problem should be categorized before they begin speaking.

                                    Local Inference and Control

                                    The language model is served locally through LM Studio rather than being accessed through a commercial cloud API.

                                    This provides direct control over:

                                    • Model selection
                                    • System prompts
                                    • Conversation history
                                    • Context length
                                    • Generation settings
                                    • Data retention
                                    • Personality configuration
                                    • Memory behavior

                                    The text-to-speech component is also hosted locally.

                                    That means the central conversation does not depend on sending every transcript and model response to an external AI provider.

                                    Local inference introduces its own technical requirements, including GPU resources, model management, latency optimization, and service coordination. However, it also gives the developer considerably more control over the complete conversational stack.

                                    Voice Activity Detection

                                    The caller does not need to press a push-to-talk button during normal operation.

                                    The application monitors the microphone and determines when speech begins and ends.

                                    This process is known as voice activity detection.

                                    The system moves through several internal states:

                                    Listening

                                    Speech detected

                                    Recording

                                    Silence detected

                                    Transcribing

                                    Thinking

                                    Speaking

                                    Listening

                                    This state-based design is important because the microphone, speech model, language model, and voice model all operate at different speeds.

                                    The application must know which component currently owns the interaction.

                                    It must also prevent the microphone from transcribing the AI’s own voice as new caller input.

                                    Persistent Memory

                                    The application also includes persistent conversational memory.

                                    This allows the agent to retain selected context between separate sessions rather than beginning every call as a completely blank system.

                                    The memory architecture separates several types of information:

                                    • Current-call conversation
                                    • Recent message history
                                    • Summaries of earlier calls
                                    • Long-term memories
                                    • Archived transcripts

                                    This distinction matters because sending every previous conversation back into the model would eventually become inefficient.

                                    Instead, recent dialogue can remain verbatim while older interactions are summarized. Important details can be stored separately and included only when relevant.

                                    The application, not the language model, owns this memory.

                                    That is an important architectural principle.

                                    The model generates language, but the surrounding software determines what is saved, retrieved, discarded, or presented as context.

                                    The Interface

                                    The application was designed to resemble a live phone call rather than a conventional chatbot window.

                                    The interface includes:

                                    • Start and hang-up controls
                                    • Call timer
                                    • Current system state
                                    • Editable system prompt
                                    • Agent profiles
                                    • Live transcription
                                    • Model responses
                                    • Diagnostic timing information
                                    • Persistent memory controls
                                    • A reactive circular audio visualization

                                    The visualizer changes according to the active state.

                                    The caller’s speech is represented in yellow. Model processing uses blue and purple states. The generated AI voice is shown in green.

                                    This is primarily an aesthetic feature, but it also provides immediate feedback about what the system is doing.

                                    A user can see whether the application is listening, transcribing, waiting for the model, generating speech, or playing audio.

                                    What This Demonstration Proves

                                    This experiment demonstrates that a locally hosted language model can operate as the conversational core of an automated information-gathering line.

                                    More specifically, it shows that the system can:

                                    • Listen for natural speech
                                    • Convert speech into text
                                    • Preserve conversational context
                                    • Collect information in sequence
                                    • Ask relevant follow-up questions
                                    • Produce spoken responses
                                    • Maintain a consistent agent identity
                                    • Store and recall previous conversational information
                                    • Operate through a custom local interface

                                    The prototype is not intended to replace a production call center in its current form.

                                    A production deployment would require additional work in areas such as authentication, encryption, regulatory compliance, consent, auditing, data validation, failure recovery, telephony integration, and human escalation.

                                    But the central conversational mechanism is functional.

                                    The Larger Possibility

                                    The broader significance of this project is not limited to corporate intake.

                                    The same architecture could support many types of locally controlled voice agents:

                                    • Technical support intake
                                    • Appointment pre-screening
                                    • Internal help desks
                                    • Interactive training systems
                                    • Voice-based surveys
                                    • Game characters
                                    • Accessibility tools
                                    • Personal assistants
                                    • Research interviews
                                    • Educational tutors

                                    The underlying pattern remains the same:

                                    Listen

                                    Understand

                                    Maintain context

                                    Respond

                                    Remember

                                    What changes is the system prompt, the information being collected, the voice, and the surrounding workflow.

                                    Final Thoughts

                                    The project began as a simple idea: speak into a microphone, send the transcript to a local model, and play the response through a local voice engine.

                                    Once persistent memory, automatic voice detection, agent profiles, structured prompts, call archives, and state management were added, it became something more substantial.

                                    It became a locally controlled conversational-agent platform.

                                    The most important lesson from the project is that the model itself is not the complete system.

                                    A useful voice agent emerges from the coordination of perception, context, reasoning, memory, expression, and interface design.

                                    Gemma 4 provides the conversational intelligence.

                                    Kokoro 82M provides the voice.

                                    The Python application provides the structure that allows them to behave like a single coherent agent.

                                    -Me 7-15-2026

                                    Building a Local AI Information Gathering Phone Line

                                    Alt...Building a Local AI Information Gathering Phone Line

                                      [?]ADHDBard » 🌐
                                      @rogerc2738@social.vivaldi.net

                                      The internet is full of privacy traps and data scrapers, but there is one big tech company you can't avoid: your Internet Service Provider (ISP). Through your router, they have the ability to see all the websites you visit and detect where you are in your home, even if you don't have a connected device near you.

                                      youtu.be/24_94bGpWQM?si=wzq3mJ

                                        [?]Flipboard Tech Desk » 🌐
                                        @TechDesk@flipboard.social

                                        The European Union has removed a major hurdle for Meta's smart glasses to enter its member states by exempting the tech from rules requiring removable batteries. U.S. Ambassador to the EU Andrew Puzder had criticized the bloc's regulation at an event in March. A spokesperson says that they have "not given in to anyone's pressure." The glasses are also in European lawmakers' crosshairs over privacy and surveillance concerns. Here's more from @POLITICOEurope.

                                        flip.it/5hjQFi

                                          [?]Emeritus Prof. Christopher May » 🌐
                                          @ChrisMayLA6@mastodon.me.uk

                                          Today Microsoft finally disabled my old version of Word making it read-only because I refuse to spend money on a new MacBookAir, now that my old one will no longer update its MacOS.

                                          Anyone out there have any recommendations for a (preferably free) simple word processor that would allow me to produce new documents that are readable (happy if that means I have to concert them to PDFs for distribution) & to edit old Word files (less need).

                                          thanks in advance

                                            [?]TechGrumps » 🌐
                                            @techgrumps.wordpress.com@techgrumps.wordpress.com

                                            TechGrumps 3.42 – Three thefts don’t make a right

                                            (Or I drive a Snitch)

                                            It’s hot in London and Manchester, but not as hot as the blazing heat of AI nonsense.

                                            https://archive.org/download/techgrumps-3.42-three-thefts-dont-make-a-right/Techgrumps%203.42%20-%20Three%20thefts%20don’t%20make%20a%20right.mp3

                                            Listen to your host Ryan Alexander with Ian ForresterDavid Eastman, and Wendy Grossman.

                                            Techgrumps 3.42

                                              AI bin

                                              Rest of World – AI analytics at the World Cup 

                                              • Watch the world cup, and all the stats hand made by mechanical turks in Cambodia, India and the Philippines for endless betting possibilities

                                              Ian’s been playing with local hosted AI systems, finds so much you can do without a GPU and massive rig.

                                              Waymo holds robotaxi in a parking lot

                                              • when two 15yos shoot water beads out of the window while drinking alcohol to await cops, who arrive guns drawn.

                                              AOBs

                                                [?]knoppix » 🌐
                                                @knoppix95@mastodon.social

                                                EU regulators declined to extend Digital Markets Act interoperability rules to social networks, leaving users with fewer options to switch platforms. 🌐
                                                EFF says existing protocols like ActivityPub show interoperability is possible and could improve privacy, competition, and user choice. 🔓

                                                🔗 eff.org/deeplinks/2026/07/euro

                                                  [?]knoppix » 🌐
                                                  @knoppix95@mastodon.social

                                                  EU rules now require new cars to include driver-facing distraction cameras, but regulators have not clearly defined how related data is handled or retained. 🚗
                                                  The systems process attention locally under the rules, yet privacy questions remain over audits, retention limits, and transparency. 🔒

                                                  🔗 allaboutcookies.org/eu-mandato

                                                    [?]knoppix » 🌐
                                                    @knoppix95@mastodon.social

                                                    Florida police records allege an officer used DMV data and a license plate reader to track a woman he met before stopping her in traffic. 🚔
                                                    Investigators say he knew the database access was unauthorized, highlighting surveillance abuse risks and the need for stronger oversight. 🔒

                                                    🔗 404media.co/footage-shows-cop-

                                                      [?]knoppix » 🌐
                                                      @knoppix95@mastodon.social

                                                      Apple’s App Store reportedly logs every tap and keystroke for personalized recommendations, with researchers claiming the data is tied to user accounts and sent unencrypted. 🔐
                                                      The reported collection cannot be disabled and raises transparency and user-control concerns for privacy, as Apple expands on-device activity tracking. ⚠️

                                                      🔗 osnews.com/story/145322/apple-

                                                        [?]knoppix » 🌐
                                                        @knoppix95@mastodon.social

                                                        Apple’s Hide My Email reportedly exposed users’ real email addresses through an unfixed flaw disclosed over a year ago, weakening a core privacy feature. 🔒
                                                        Researchers say Apple was notified in 2025, yet the exploit remains, highlighting transparency and user-control concerns for privacy tools. ⚠️

                                                        🔗 mashable.com/tech/apple-hide-m

                                                          JJDavis :terminal: boosted

                                                          [?]TechWire ⚡ » 🤖 🌐
                                                          @techwire@social.gamefan.net

                                                          New York enacts one-year data center ban on projects larger than 50 megawatts — first US state to impleme…

                                                          New York is the first to pass a statewide data center moratorium, which pauses all projects greater than 50 MW for one year. The governor's office said that it will create a GEIS to hold developments to "consistent stan…

                                                          tomshardware.com/tech-industry

                                                          [Tom's Hardware]

                                                            [?]Lanie » 🌐
                                                            @RareBird15@allovertheplace.ca

                                                            [?]Richard Grant » 🌐
                                                            @richardgrant@mastodon.social

                                                            [?]Black Cat White Hat Security » 🌐
                                                            @BCWHQuiz@defcon.social

                                                            NIST SP 800-53
                                                            NIST Special Publication 800-53 is a foundational catalog of security and privacy controls designed to protect information systems and organizations. Originally mandatory for U.S. federal agencies and government contractors, it has evolved into a global standard widely used across both public and private sectors.



                                                            Link: blackcatwhitehatsecurity.com

                                                            NIST SP 800-53
NIST Special Publication 800-53 is a foundational catalog of security and privacy controls designed to protect information systems and organizations. Originally mandatory for U.S. federal agencies and government contractors, it has evolved into a global standard widely used across both public and private sectors.

                                                            Alt...NIST SP 800-53 NIST Special Publication 800-53 is a foundational catalog of security and privacy controls designed to protect information systems and organizations. Originally mandatory for U.S. federal agencies and government contractors, it has evolved into a global standard widely used across both public and private sectors.

                                                              [?]Jon PENNYCOOK » 🌐
                                                              @jonpsp@mstdn.social

                                                              "Hands off our VPNs, privacy groups tell UK ministers"

                                                              theregister.com/networks/2026/

                                                              "Whether the government is persuaded may depend on whether it views VPNs as a niche loophole used by a small minority of teenagers – as its own research suggests – or as the next obstacle to enforcing its online safety agenda."

                                                                [?]Unofficial PetaPixel Bot » 🤖 🌐
                                                                @PetaPixel@toot.earth

                                                                [?]Lucire » 🌐
                                                                @lucire@fashionsocial.host

                                                                [?]Jon Snow » 🌐
                                                                @jonsnow@mastodon.online

                                                                muddle 🥣 boosted

                                                                [?]Jon Snow » 🌐
                                                                @jonsnow@mastodon.online

                                                                [?]Longreads » 🌐
                                                                @longreads@mastodon.world

                                                                "You can’t devote your life to mastering the art of scanning or unpacking cages in the same way as a craftsman devotes themselves to blade-making or weaving. We face a dearth of complex and meaningful jobs." —Joshua Habgood-Coote for Aeon aeon.co/essays/the-radical-rea

                                                                  [?]Astian, Inc » 🌐
                                                                  @astian@mastodon.social

                                                                  This update represents much more than a visual change. Midori 11.9 incorporates a revamped Control Center, new themes and textures, significant improvements to vertical tabs, more stable workspaces, optimized web panels, and deeper visual integration with Midori New Tab. It also updates Midori Privacy.

                                                                  astian.org/midori-en/midori-br

                                                                  Midori Browser 11.9 New design, privacy, and speed

                                                                  Alt...Midori Browser 11.9 New design, privacy, and speed

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