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The traditional view is that the brain is surrounded by three layers, the dura, arachnoid, and pia mater. Møllgård et al. found a fourth meningeal layer called the subarachnoid lymphatic-like membrane (SLYM). SLYM is immunophenotypically distinct from the other meningeal layers in the human and mouse brain and represents a tight barrier for solutes of more than 3 kilodaltons, effectively subdividing the subarachnoid space into two different compartments. SLYM is the host for a large population of myeloid cells, the number of which increases in response to inflammation and aging, so this layer represents an innate immune niche ideally positioned to surveil the cerebrospinal fluid.

Experiencing three or more concussions is linked with worsened brain function in later life, according to major new research. The study – the largest of its kind - also found having just one moderate-to-severe concussion, or traumatic brain injury (TBI), can have a long-term impact on brain function, including memory.

Chronic traumatic encephalopathy (CTE) is a neurodegenerative disease associated with a history of repetitive head impacts (RHI). To better understand the strength of evidence underlying the possible causal relationship between RHI and CTE, we examined the medical literature through the Bradford Hill criteria for causation.

Chronic traumatic encephalopathy (CTE) is a neurodegenerative tauopathy associated with repetitive head impacts. These findings implicate cumulative head impact intensity in CTE pathogenesis.

Let’s talk about WordPress meetups! On this episode of The WPCandy Roundtable Podcast, I asked four awesome WordPress meetup co-organizers to chat about what makes a quality meetup and how they do what they do. We also went over what they would recommend to new WordPress meetup organizers. Joining me on the podcast are Angie […]

The post WPCandy Roundtable #3: WordPress Meetup Discussion with 4 co-organizers appeared first on WPCandy.

Let’s start this review with an honest admission. While in the 90s I collected (and read, mostly) tech books like they were going out of style. These days I barely get my hands around a book, let alone consume it. Frankly, I don’t have the time. I have three kids (two are twins) and a […]

The post Review: Professional WordPress Design and Development, 2nd Edition appeared first on WPCandy.

Sometimes I think theme frameworks just aren’t a good thing for the end user. When it comes to the experience with the least friction, the most welcoming to a new user, and the least technically complex, I just don’t see anything beating a simple theme folder with a handful of template files and an image folder. […]

The post It’s hard to beat fourteen files and an image folder appeared first on WPCandy.

The family of the Army reservist who committed the October 2023 massacre in Lewiston wants to bring awareness to traumatic brain injuries among military members.

New research from the Salk Institute is providing hope for people who suffer from PTSD, panic attacks, migraines, and more. "Our body has an alarm system that detects danger from the environment or inside our body," explains Dr. Sung Han, an Associate Professor at the Salk Institute and lead researcher for this project. "Sometimes our bodies generate false alarms... We need to understand (what) molecules send the false signal to the brain so that we can block (it)."

A high school senior from Bangor, Maine, has decided that when the time comes, he will donate his brain to science. Fionn Parker-Cummings is the youngest person to donate his brain to the University of Pittsburgh National Sports Brain Bank. Researchers will check in with him every year for the rest of his life. Parker-Cummings said he hopes the contribution will advance traumatic brain injury research to protect players like NFL quarterbacks Drake Maye and Tua Tagovailoa, who have recently suffered concussions.

If professional athletes are meant to be real-life superheroes, Miami Dolphins star Tua Tagovailoa looked remarkably mortal on September 12. With his team down 31-10 in the third quarter against the Buffalo Bills, the quarterback spotted a gap at the line of scrimmage and decided to scramble for a first down. When he encountered Bills' defender Damar Hamlin, Tagovailoa lowered his head and ran straight into him. Tagovailoa stayed down injured after the play. He had suffered the third concussion of his NFL career, on top of the one he was diagnosed with during his time in the collegiate ranks.

The NHLPA will form an advisory committee to help hockey players better understand chronic traumatic encephalopathy and the damage that concussions can do to the brain. NHLPA president Marty Walsh said Friday night that the CTE committee was unanimously approved at a union board meeting this summer. The former Boston mayor made the announcement after receiving an award at the annual gala for the Concussion Legacy Foundation, which supports patients and families struggling with the symptoms of traumatic brain injuries.

A troubling report from the Pentagon earlier this year revealed that suicide is the leading cause of death for Army soldiers—a population that is nearly nine times as likely to die by suicide than in combat.  “Suicide in the military continues to be a public health crisis, despite decades of targeted interventions. The rates are persistently higher than in the general population,” says Jayna Moceri-Brooks, an assistant professor at NYU Rory Meyers College of Nursing who studies firearm injury prevention and suicide among service members and veterans.

A commentary, published in the Journal of Neurotrauma, calls for traumatic brain injury to be recognized as a chronic condition as are diabetes, asthma, depression and heart failure. To provide comprehensive care for traumatic brain injury throughout individuals' lifespans, the authors propose that coordinated care models they and others have developed, tested and applied to various populations—including older adults, individuals living with depression and post-intensive care unit survivors—be adapted to improve communication and integration between brain injury specialists—including physical medicine and rehabilitation clinicians—and primary care physicians, fostering better long-term patient care for traumatic brain injury survivors and more support for both patients and their families.

The pounding that sailors’ brains take from years of high-speed wave-slamming in the Special Boat Teams can cause symptoms that wreck their careers — and their lives.

If you are looking for the best multipurpose WordPress theme you might feel the need to clearly understand what “best” means. On the other hand, you shouldn’t worry about that too much since you don’t have to drill down to selecting a single multipurpose WordPress theme at the exclusion of all others; and the reason […]

The WordPress directory has 50k+ free plugins that were developed so you can extend a WordPress website with functions and features far beyond your imagination. Additional thousands of WordPress plugins are available from various marketplaces. No matter how much you might have a need for a specialized plugin or two, would you really want to […]

Burts bees

It’s hard to get teenagers to do anything they fear will make them feel “other,” but a TBI support group will help during recovery.

Learn about the risks and benefits of taking Ritalin after a brain injury.

How do you test the vision of someone with TBI who cannot communicate — talk or respond otherwise to questions?

Specific accessibility adaptations in the home depend on the person's specific impairments from TBI.

The jaw, skull, neck, and brain are all connected. A blow to one can cause damage elsewhere.

Oftentimes balance issues influence restrictions about lifting heavy objects after a brain injury.

A child with a brain injury may develop more injury-related issues as an adult.

Rode, the company that kicked off the wave of compact wireless microphones seen over the last few years, has scaled down even further for its...

The post Rode goes tiny with the Rode Wireless Micro for smartphones appeared first on DIY Photography.

In a surprise announcement, Fujifilm is entering the cinema camera market. But instead of leveraging their APS-C X-Trans sensor tech to make Super35 cameras, they’re...

The post Fuji is making its first cinema camera, and it’s got a medium format GFX sensor appeared first on DIY Photography.

NASA’s Juno spacecraft, which has orbited Jupiter since 2016, recently captured striking new images of the gas giant during its 66th close flyby. This solar-powered...

The post Juno’s latest flyby photos reveal Jupiter like never before appeared first on DIY Photography.

Today we release our first self-hosted Auphonic Speech Recognition Engine using the open-source Whisper model by OpenAI!
With Whisper, you can now integrate automatic speech recognition in 99 languages into your Auphonic audio post-production workflow, without creating an external account and without extra costs!

Whisper Speech Recognition in Auphonic

So far, Auphonic users had to choose one of our integrated external service providers (Wit.ai, Google Cloud Speech, Amazon Transcribe, Speechmatics) for speech recognition, so audio files were transferred to an external server, using external computing powers, that users had to pay for in their external accounts.

The new Auphonic Speech Recognition is using Whisper, which was published by OpenAI as an open-source project. Open-source means, the publicly shared GitHub repository contains a complete Whisper package including source code, examples, and research results.
However, automatic speech recognition is a very time and hardware-consuming process, that can be incredibly slow using a standard home computer without special GPUs. So we decided to integrate this service and offer you automatic speech recognition (ASR) by Whisper processed on our own hardware, just like any other Auphonic processing task, giving you quite some benefits:

• No external account is needed anymore to run ASR in Auphonic.
• Your data doesn't leave our Auphonic servers for ASR processing.
• No extra costs for external ASR services.
• Additional Auphonic pre- and post-processing for more accurate ASR, especially for Multitrack Productions.
• The quality of Whisper ASR is absolutely comparable to the “best” services in our comparison table.

How to use Whisper?

To use the Auphonic Whisper integration, you just have to create a production or preset as you are used to and select “Auphonic Whisper ASR” as “Service” in the section Speech Recognition.
This option will automatically appear for Beta and paying users. If you are a free user but want to try Whisper: please just ask for access!

When your Auphonic speech recognition is done, you can download your transcript in different formats and may edit or share your transcript with the Auphonic Transcript Editor.
For more details about all our integrated speech recognition services, please visit our Speech Recognition Help and watch this channel for Whisper updates – soon to come.

Why Beta?

We decided to launch Whisper for Beta and paying users only, as Whisper was just published end of September and there was not enough time to test every single use case sufficiently.
Another issue is the required computing power: for suitable scaling of the GPU infrastructure, we need a beta phase to test the service while we are monitoring the hardware usage, to make sure there are no server overloads.

Conclusion

Automatic speech recognition services are evolving very quickly, and we've seen major improvements over the past few years.
With Whisper, we can now perform speech recognition without extra costs on our own GPU hardware, no external services are required anymore.

Auphonic Whisper ASR is available for Beta and paying users now, free users can ask for Beta access.
You are very welcome to send us feedback (directly in the production interface or via email), whether you notice something that works particularly well or discover any problems.
Your feedback is a great help to improve the system!

To start a new decade of automatic audio post production with Auphonic, we are happy to launch a few updates:

New Website Design

Opening the new homepage today, you might have noticed that our website looked different from what you had been used to before. Keeping our customers’ feedback from last year in mind, we designed a new vision for Auphonic.

Our new website features a refreshed look with an improved, more engaging, and functional user experience. Moreover, a more straightforward, intuitive, and accessible navigation will give you a seamless workflow and a comfortable exploration of Auphonic’s features.
We hope it will be easier to explore the diversity of applications that Auphonic has. In the end, however, as before, you will have the same full functionality of Auphonic available to you and some extra features if you are using our paid packages or subscriptions.

Take a look yourself: New Auphonic Landing Page

Free Access to our Advanced and Beta Algorithms

In the past, only paying Auphonic users had access to the advanced algorithm parameters, to multitrack advanced audio algorithms, and to our Dynamic Denoising and AutoEQ beta models.

We now enabled all advanced algorithms for free users, and you can use them for 2 hours of audio free each month!

Using the Dynamic Denoiser, you can define whether Auphonic should remove only static or also fast-changing noises and if we should keep or eliminate music. For even greater speech intelligibility control, it is possible to manually adjust the amount of denoising to strike the perfect balance between clarity and ambiance.

The AutoEQ automatically analyzes and optimizes the frequency spectrum of a voice recording to remove sibilance (De-Esser) and to create a clear, warm, and pleasant sound.
The equalization of multi-speaker audio can be complex and time-consuming, as each voice requires its own unique frequency spectrum equalization. Our AutoEQ simplifies this process by creating separate, time-dependent EQ profiles for each speaker, ensuring a consistent and pleasant sound output despite any changes in the voices during the recording.

Our advanced algorithm parameters help you to meet all common audio specifications of platforms like Netflix, Audible, podcasts, broadcasters (EBU R128, ATSC A/85, radio and mobile, commercials) in one click. You can define a set of target parameters (integrated loudness, true peak level, dialog normalization, MaxLRA, MaxM, MaxS), like -16 LUFS for podcasts, and we will produce the audio accordingly.
In addition, they offer more control for multitrack productions and for the Adaptive Leveler.

We would like to give away free hours for new Auphonic users, to try out our free advanced algorithms. Please use this URL to register your new Auphonic account. the code is valid till end of March 2023 and will give you 5 extra production hours for the next month. Happy content creation!

More Audio Examples

There is no better way to experience Auphonic than hearing the difference our post production tool makes when applied to different types of audio and content.
We are happy to share that our new features page now contains some new audio examples you can listen to explore our web tool, and we will add even more examples in the next weeks.

We all know the problem: the content is perfectly prepared, and everything is in place, but the moment you hit the record button, your brain freezes, and what pops out of your mouth is a rain of “ums”, “uhs”, and “mhs” that no listener would enjoy.
Cleaning up a record like that by manually cutting out every single filler word is a painstaking task.

So we heard your requests to automate the filler word removing task, started implementing it, and are now very happy to release our new Automatic Filler Cutter feature. See our Audio Examples and Usage Instructions below.

What is removed?

While the definition of filler words is not the same, depending on who you ask, some words can be used as filler as well as content. For example, “like”, “well”, “you know”, etc. cannot be removed without the risk of removing also content and destroying sentences, even if those words are used as filler words in some cases.

Therefore, we decided to focus on the removal of the obvious fillers, namely any kind of “ums”, “uhs”, “mhs”, German “ähm”, “äh”, “öh”, French “euh”, “euhm” and similar.

Audio Examples

1. English Male Speaker

The first audio example is an excerpt from the interview “From Racing Failure to Red Bull Champion: The Untold Christian Horner Story”. Our algorithm found and removed a remarkable ten filler words in this 45-second snippet:

Screenshot of the Auphonic Audio Inspector: each pale red shaded area corresponds to a cut-out filler word.

2. Austrian-German Female Speaker

The following example is an interview with the Austrian Ex-Foreign Minister, Karin Kneissl, who uses seven filler words within 26 seconds:

Usage Instructions

To use the Auphonic Automatic Filler Cutter feature, you just have to create a production or preset as you are used to and select “Cut Fillers” for “Automatic Cutting” in the section “Audio Algorithms”:

When your production is done, all cut-out filler words will appear as pale red shaded areas in the Auphonic Audio Inspector on the production status page, as you can see in the upper screenshot of the Audio Inspector.

If you want to remove silent segments from your audio as well, please also enable our Automatic Silence Cutting feature.

NOTE: Our Automatic Cutting features (for filler and silence) are not available for video files!

Behind the Scenes

For the training of our Automatic Filler Cutter AI-Algorithm, we created datasets that contain manually labeled audio files, collected from 'real world' audio data. So far, we have labeled, trained, and tested the system with English, German, Spanish, and French data.

However, in the Auphonic Web Service, you can activate and test the Automatic Filler Word Cutter for all languages. We would be very happy to hear how the filler removal works out for completely different-sounding languages from, e.g., the Asian, African, or Slavic language families.

Please send us feedback on any problems or error patterns you discover! This will help us generate specific data for the training to improve the algorithm and eliminate your problems.

Conclusion

Automatic filler word cutting is a powerful tool for podcasters looking to enhance the quality of their content. It boosts clarity and professionalism, all while making your editing process more efficient. Some users, however, see a touch of authenticity in filler words within podcasts. So, we leave it up to you to enable or disable the Automatic Filler Cutter feature for your next Auphonic production, depending on your desired style.

We are currently working on filler word cutting optimizations for more languages, so watch our channels to get all the news on our upgrades!

If you have any feedback for us – how the filler cutter is working in your language, what you do or don't like, what you miss, what else you would want to remove from your audio besides silence and filler words, etc. – you are welcome to contact us via email or directly comment on our production interface!

For those of you who like to be in control of every applied cut, we are introducing an update for our Automatic Silence and Filler Word Cutting Algorithms today: The export of Cut Lists allows you to import cuts into your favorite audio/video editor to check and apply the cuts to your files manually.
Thanks to your great feedback, we were able to update our “Filler Word Cutting” algorithm as well.

Cut Lists Export

We now provide the export of various formats of “Cut Lists” in the Auphonic Web Service.
You can use these formats to modify and apply cuts in your post production audio or video editing program:

Screenshot of the Reaper DAW with imported “ReaperRegions.csv”: pale red regions display filler words and pale gray regions mark silence.

To generate the cut lists, choose “Cut List (Filler and Silence)” in the “Output Files” section. By selecting the correct “Ending” you can export the cut lists to a format that is suitable for your post production audio or video editor:

We support regions and EDL (edit decision list) formats:

• Region formats (“AudacityRegions.txt”, “AuditionRegions.csv” and “ReaperRegions.csv”) list filler and silence cut regions with their respective start and end timestamps.
  You can import those cut region lists into your existing Audacity, Audition, or Reaper projects. There you can edit the cut positions to your liking by deleting, moving, or adding individual cut positions. After that, you may apply the cuts manually.
• EDL (edit decision list) formats, “SamplitudeReaper.edl”, “FinalCutProLegacy.xml”, “FinalCutProX.xml” and “DaVinciResolve.edl” (also known as “cmx3600” format and compatible with various editors), can be imported in your software to automatically apply cuts from the EDL file. Depending on the software you use, you may also edit individual cuts manually before applying them. Be aware though that in some editors it may not be possible to add them to an existing project. If this is the case, simply open a new project with the EDL file instead.

Please just let us know if we do not yet provide a cut list format for your favorite audio or video editing program!

Export Uncut Audio

To only detect fillers/silence but NOT cut them, choose the “Export Uncut Audio” mode for “Automatic Cutting” in “Audio Algorithms”. Then you can query cutting times via our API or select your favorite Cut List format as “Output File” to only export cut times for later editing, but without applying cuts during the Auphonic audio post production.

Using the option “Export Uncut Audio”, it is also possible to use our cutting algorithms for video productions. In this case, we will just detect and report cuts, and you can import and apply them in your favorite video editing program afterwards.

Filler Word Cutting Updates

Thanks to your great feedback, we've been able to further optimize our Automatic Filler Word Cutting algorithm.
By now you probably know that our filler word cutter removes all types of “uhm”, “uh”, “mh”, “ähm”, “euh”, “eh” and similar sounds. If you haven't heard about it yet, our release blog post might be a good starting point.

• Enhanced Fade Curves
  We noticed that due to reverb or background noise in input files, some filler cuts did not sound as smooth as they should have. To prevent such rough cuts, we trained our filler detection models with more diverse speech data and compared different fade curve approaches. Now the filler detection is much more robust against noise. Additionally, we developed an asymmetrical fade solution, which, in our opinion, makes the cuts almost inaudible.

  We nonetheless recommend, though, that you use filler cutting in combination with our Dynamic Denoising or Speech Isolation algorithms. These algorithms remove heavy reverb or noise and thus prevent noise artifacts during cutting.

• Handling of Affirmative Sounds
  Some of you were bothered by the fact that affirmative sounds, like “mhm”, “aha”, and “yeah” were cut along with filler words. Driven by your feedback, we tweaked our filler detection algorithm in a way that will remove considerably fewer of these sounds.

• Multitrack Filler Silencing
  We also received requests to optimize filler cutting for crosstalk in Multitrack productions.
  Let's assume that two speech tracks are simultaneously active and one of the two tracks contains a filler word. In this case, we can not cut the filler word in one track without destroying parts of the speech in the other track.
  Our original solution was to skip such a filler. Now, however, we replace it with silence instead. This removes the filler words while preserving all the speech content.

Feedback

If you want to provide us feedback on how you like the updated filler cutting algorithm or about any other features that are missing, you are very welcome to contact us. You can also leave a comment in the feedback section on the status page of your concrete production.

We're excited to roll out an upgraded version of our Transcript Editor, focusing on enhancing your transcription workflow and making it more intuitive, especially for mobile users. This overhaul introduces several key improvements and features designed to streamline the transcription process.

Click here for a Live Demo

What's new?

Line by Line Editing

Your transcript is being rendered line by line. This allows for precise editing of every single timestamp. Depending on the speech recognition engine editing can be done on word or phrase level.
For optimal results, we suggest utilizing our Auphonic Whisper ASR engine.

A paragraph with 9 lines, every line represents a "subtitle line" (.vtt, .srt).

You can split or combine paragraphs and lines using the Enter and Backspace keys. Our new Playback Slider enables seamless scrolling through the text, while we highlight the currently selected word as you go. With the switchable Play on Click function you can start your playback from anywhere in the transcript.

Automatic Shownotes and Chapters

If you enable Automatic Shownotes and Chapters in the Production form, we include AI generated shownotes and chapters directly into the Transcript Editor. You can edit Chapter Times and Text directly within the Transcript Editor. Once you click Save (top right), any modifications made within the shownotes and chapters will also be saved back to the production.

Screenshot of Automatic Shownotes and Chapters withing the Transcript Editor.

You are also able to edit chapter times directly within the transcript editor. Please note that this only works within the Transcript section of the editor to ensure precise placement of chapters.

Screenshot of Edit Chapter Time.

Local History: Undo and Redo

Our Local History feature offers convenient undo and redo functionality. This means you can effortlessly revert changes or redo them as needed, providing you with greater control and flexibility during the editing process.

Edit Speakers

Our revamped Transcript Editor automatically assigns speakers in Multitrack Productions. You can use the Track Identifier in our production form to assign speakers and easily edit, remove, or add new ones within the Transcript Editor. So it's clear who says what at any time!

Screenshot of Edit Speaker.

Confidence Highlighting

Within the transcription areas of low confidence are highlighted with our Highlight Low Confidence feature. So you can check up on the AI and edit words it is not entirely confident about! It also shows you how confident the AI is about the specific area if you hover over it.

Offline Mode

This feature enables you to download and share the Transcript Editor for offline editing. This means you can share the *.html file with someone else for editing purposes. Simply use the Download Editor action to obtain an offline version of the Transcript Editor.

Export Transcript

You can export your transcript in all currently relevant formats (.srt, .vtt, .txt, .html, .pdf) and include them in your publishing process or video editing software.

Screenshot of Export Transcript.

Responsive Design

We want to make podcasting as easy as possible. The responsive design of our Transcript Editor allows for fast editing on mobile devices - so you can edit what you're saying anywhere, anytime!

Screenshot of Transcript Editor on a mobile device.

Why use it?

Apple Podcasts paved the way for all podcasts to feature transcripts, so users can read through what you are saying and look for specific parts of your talk they're interested in revisiting. That could be book recommendations, advertisements or one of your ideas you want to share with the world.

We're trying to make the transcription process as automated and easy for you as possible. Especially when using Multitrack Productions we strive to take all the work off of you and let the AI do its magic.

Additionally, we aim to simplify manual corrections wherever automated processes encounter challenges, ensuring that even these adjustments are as effortless as possible.

Try it now on auphonic.com!

Feedback

If you have feature requests or feedback for our new Transcript Editor, please let us know! You can also leave a comment in the feedback section on the status page of your specific production.
We're looking forward to hearing from you!

As a portrait photographer, you know that the heart of your business beats in the rhythm of capturing souls through lenses. But here’s something not many will tell you: there’s an art to portrait photography pricing too.

Just think about it. How do you put a price on immortalizing someone’s personality in a snapshot? You’re not just pressing buttons; you’re creating magic!

You might be wondering, “How can I create my own masterpiece when it comes to setting prices?” Or perhaps thinking, “I don’t want to undersell myself or scare away potential clients.”

Understanding Portrait Photography Pricing

If you’re a professional photographer or someone considering getting into the photography business, it’s essential to grasp portrait photography pricing. Figuring out portrait photography pricing may appear complicated at first, yet with some knowledge of the business’ fundamental principles and procedures it will all start to become clear.

The number one thing to avoid when pricing your photography is spending more than you make. You need to price your images based on time spent behind the lens and editing them post-shoot as well as the market value of your work.

Picture a scene where the main act is not just what fills the frame, but also what doesn’t. That’s negative space photography, a technique that turns emptiness into expression and silence into storytelling.

In this deep dive, we’re peeling back layers to reveal how much weight nothingness can hold in your shots.

You’ll grasp why every photographer needs to give their subjects some breathing room and learn how empty areas are not missed opportunities but rather essential for creating balance and drawing attention right where you want it.

We’ll explore ways to use plain backgrounds or blurred surroundings as powerful tools that add feelings of calm, tension, or intrigue—all by letting less say more.

The Essence of Negative Space in Photography

Negative space photography, often seen as the quiet hero of composition, plays a crucial role in how an image is perceived. It’s not just about what you capture—it’s also about what you leave out. This technique can make your main subject pop by simply giving it more breathing room.

Defining Negative Space and Its Role in Visual Composition

Negative space refers to the area surrounding the main subject—or positive space—of a photograph.

Hey there, fellow shutterbugs! It’s your favorite AI-obsessed photographer here, ready to spill the beans on how to use Artificial Intelligence to make money in photography. I know, I know – I used to be the loudest anti-AI voice in the room. But then I realized: if you can’t beat ’em, join ’em (and make some cash while you’re at it)!

So, I dove headfirst into the world of AI-generated/modified images, and let me tell you, it’s been a game-changer. No more hours spent editing and retouching – now, I can create stunning, sellable images with just a few clicks. And the best part? The money’s rolling in like never before.

Ready to join the AI revolution and start raking in the dough? Let’s get started!

How to Make Money with AI-Generated Photography

AI art is taking the world by storm. And if you’ve got a knack for creating stunning visuals with AI tools, you might be wondering how to turn your passion into profit. Well, I’ve got good news for you. There are plenty of ways to monetize your AI-generated photography skills.

Imagine a photograph where time and space seem to bend and warp, creating surreal, elongated images that defy reality.  This is the world of slit scan photography, a fascinating technique that has captivated artists, filmmakers, and scientists for decades.

Slit scan photography is a unique method that captures motion over time, resulting in images that appear stretched or distorted. This technique first gained prominence in the nineteen sixties, most notably in Stanley Kubrick’s iconic film two thousand and one A Space Odyssey.  The mesmerizing Stargate sequence in that film was created using slit scan photography, introducing audiences to its mind-bending visual effects.

Slit scan photography is a captivating and unconventional technique that produces striking, abstract images that defy traditional photography. This method involves capturing a scene or subject through a narrow slit, which moves across the image sensor or film, creating a unique, distorted representation of reality.

​

History

Slit scan photography has a rich and fascinating history that spans over a century, with roots in early scientific and astronomical photography. From its humble beginnings to its modern applications,

In a world that often emphasizes grand gestures and monumental achievements, it’s easy to overlook the profound impact of small actions. Yet, it’s these minuscule steps that are the true catalysts for change and progress in our lives. “Tiny Experiments.” I keep these words on a Post-It note on my monitor, a daily reminder that the key to unlocking my potential and propelling myself towards my desired future lies in the willingness to take small, manageable actions. Now, you might be skeptical. What can you really accomplish in just a few minutes? The answer is—a lot more than you think. Examples of Tiny Experiments Here are some of the tiny experiments I’ve integrated into my routine: A Ten-Minute Run: It’s short, yes, but it boosts my energy and clears my mind, making me more productive. One Strategic Email: Something as simple as sending an email can advance my projects, like moving forward with an upcoming TV series. Fifty Pushups: This quick burst of physical activity increases my physical stamina and mental toughness. Ten-Minute Meditation: Helps me center my thoughts and combat the stresses of daily life. A Five-Minute Call: Reconnecting with a friend or family member, like my mom, nurtures...

The post Tiny Experiments: How Little Moments Influence Your Life first appeared on Chase Jarvis.

The post Tiny Experiments: How Little Moments Influence Your Life appeared first on Chase Jarvis.

If there’s one thing I’ve learned from interviewing hundreds of high-performers and change-makers on the Chase Jarvis LIVE show, it’s that the most successful entrepreneurs and creators share a unique trait: they view challenges not as barriers but as incredible opportunities for growth and innovation. Unlike many of us who might view problems as burdensome obstacles, they tend to see them as opportunities to learn, to grow, to improve, and to adapt in ways that leave them better positioned than they were before. This perspective isn’t just about maintaining a positive attitude—it’s about harnessing the power of each setback to propel oneself forward.  Why Problems Are Your Launchpad for Innovation Problems are inevitable, no matter what we do in life, but as creators and entrepreneurs we can get more than our fair share. It’s par for the course when it comes to breaking new ground and pushing boundaries. But here’s the kicker: when you start to view these problems as crucial growth opportunities, they suddenly become less daunting – more like puzzles waiting to be solved rather than monsters lurking in the dark. This mindset not only reduces the stress associated with challenges but also opens up your creative process...

The post How to Find Opportunity in Everything first appeared on Chase Jarvis.

The post How to Find Opportunity in Everything appeared first on Chase Jarvis.