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Want to build a start up company that lasts? Think three-layer cake
https://www.fastcompany.com/91131427/want-to-build-a-company-that-lasts-think-three-layer-cake
Building a successful business requires a focus on three key elements: product excellence, go-to-market strategy, and operational excellence. Neglecting any of these areas can lead to failure, as evidenced by the high percentage of startups that don’t make it past the five-year mark. Founders and CEOs must ensure a solid product foundation while also integrating effective sales, marketing, and management strategies to achieve sustainable growth and scale.
- Foundation: Product Excellence, Core Values and Mission
- Core Values: These are the guiding principles that dictate behavior and action within the company. They form the ethical foundation and are crucial for maintaining consistency in decision-making.
- Mission: This defines the company’s purpose and goals. A clear and compelling mission helps align the team and provides a sense of direction.
- Efficiency and Scalability: This layer focuses on creating efficient processes that can scale as the company grows. Streamlined operations reduce costs and increase productivity.
- Structure: Operational Excellence and Innovation
- Operational Excellence: Efficient processes, quality control, and continuous improvement fall into this layer. Ensuring that the company operates smoothly and effectively is crucial for sustainability.
- Innovation: Staying competitive requires innovation. This involves developing new products, services, or processes that add value and keep the company relevant in the market.
- Quality Control and Continuous Improvement: Ensuring that operational processes are of high quality and constantly improving helps maintain product excellence and customer satisfaction.
- Technology and Infrastructure: Investing in the right technology and infrastructure to support business operations is vital. This includes everything from manufacturing equipment to software systems that enhance operational efficiency.
- Strategy: Go-to-Market Strategy, Vision and Long-Term Planning
- Vision: A forward-looking vision inspires and motivates the team. It outlines where the company aims to be in the future and helps in setting long-term goals.
- Strategic Planning: This involves setting long-term goals and determining the actions and resources needed to achieve them. It includes market analysis, competitive strategy, and growth planning.
- Market Understanding: A deep understanding of the target market, including customer segments, competitors, and market trends, is essential. This knowledge helps in positioning the product effectively.
- Marketing and Sales Execution: This involves creating a robust marketing plan that includes branding, messaging, and advertising strategies to attract and retain customers. Additionally, building a strong sales strategy ensures that the product reaches the right customers through the right channels.
- Customer Acquisition and Retention: Effective strategies for acquiring new customers and retaining existing ones are critical. This includes loyalty programs, customer service excellence, and engagement initiatives.
- Foundation: Product Excellence, Core Values and Mission
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Raspberry Pi is getting in on AI
https://www.theverge.com/2024/6/4/24170818/raspberry-pi-ai-chip-hailo-devices
As the AI craze continues, even the microcomputer company Raspberry Pi plans to sell an AI chip. It’s integrated with Raspberry Pi’s camera software and can run AI-based applications like chatbots natively on the tiny computer.
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BorisFX Silhouette 2024 – What’s New in Roto
https://cdn.borisfx.com/borisfx/store/silhouette/2024-0/Silhouette-2024-WhatsNew.pdf
Matte Assist ML
Automatically generates a matte over time based on single or multiple
keyframed roto shapes or input mattes using machine learning object
segmentation and propagation.Optical Flow ML
Generates machine learning powered optical flow data for use in one of the
Roto based node’s Flow Tracker: Roto, Roto Blend, Tracker, Power Mask,
Morph and Depth. Optical flow estimates per-pixel motion between frames and
can be used to track shapes and objects.Retime ML
A machine learning motion estimation and retiming model that produces
smooth motion. Expands or contracts the timing of a selected range of frames.
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Eating rocks and other shocking Google AI answers we’ve seen so far
https://www.fastcompany.com/91132974/shocking-google-ai-overview-answers
No. Do NOT eat rocks or put them into food!
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Daniel Parris – The Broken Economics of Streaming Services: A Stats Explainer
https://www.statsignificant.com/p/the-broken-economics-of-streaming
This report examines the financial instability in the streaming industry, focusing on the unsustainable economic models of platforms such as Paramount Plus.
Content Costs and Subscriber Retention
- Expenditure on Content: Streaming services invest heavily in content creation and acquisition to attract subscribers.
- Diminishing Returns: The escalating costs lead to diminishing returns as subscriber growth plateaus.
Competitive Landscape
- Continuous Production: High competition forces continuous, expensive content production to retain subscribers.
Future Projections
- Cable TV Model: The industry may shift towards models resembling traditional cable TV, incorporating advertising, subscription bundling, and higher prices to achieve financial sustainability.
NEWS TV NEWS
Hollywood’s Top TV Execs Are Happy About The Death Of Peak TV – Here’s Whyhttps://www.slashfilm.com/1593571/peak-tv-dead-hollywood-top-tv-execs-happy/
- Streaming services weren’t required to reveal their subscription numbers or actual viewership
- Shows just needed to look good on paper for investors and stockholders.
- Creators and actors soon learned they weren’t getting paid beyond an initial flat fee; royalties were now gone.
- 600 shows at once wasn’t good for anyone
- Thanks to the strikes, it all came crashing down
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Sangeet Paul Choudary – AI won’t eat your job, but it will eat your salary
https://medium.com/@sanguit/ai-wont-eat-your-job-but-it-will-eat-your-salary-a810121d89e4
intelligence (AI) is likely to impact job salaries rather than eliminating jobs entirely. The primary argument is that AI will erode the skill premium traditionally commanded by high-skilled workers. This erosion happens through three key mechanisms:
- Skill Premium on Specialized Tasks: AI enables low-skilled workers to perform tasks at a level comparable to high-skilled workers, making skilled workers more substitutable and reducing their wage premium.
- Skill Premium on Learning Advantages: AI’s ability to continuously learn and improve from vast amounts of data threatens professions that rely on continuous learning and skill development. For example, in healthcare, AI can absorb and replicate the learning and expertise of doctors, diminishing their unique value.
- Skill Premium on Managerial Advantages: AI agents can take over managerial tasks like planning and resource allocation, which have traditionally required human intervention. As AI becomes more sophisticated, even complex managerial roles might lose their premium as AI performs these functions more efficiently.
These factors collectively lead to a commoditization of skills, reducing the relative advantage and salary premium of traditionally high-skilled and managerial roles. The article emphasizes that while AI may not replace jobs outright, it will significantly affect how jobs are valued and compensated.
FEATURED POSTS
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MidJourney – Terms Of Service item 10
https://midjourney.gitbook.io/docs/terms-of-service
10. Limitation of Liability and Indemnity
We provide the service as is, and we make no promises or guarantees about it.
You understand and agree that we will not be liable to you or any third party for any loss of profits, use, goodwill, or data, or for any incidental, indirect, special, consequential or exemplary damages, however they arise.
You are responsible for your use of the service. If you harm someone else or get into a dispute with someone else, we will not be involved.
If you knowingly infringe someone else’s intellectual property, and that costs us money, we’re going to come find you and collect that money from you. We might also do other stuff, like try to get a court to make you pay our attorney’s fees. Don’t do it.
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Top 3D Printing Website Resources
The Holy Grail – https://github.com/ad-si/awesome-3d-printing
- Thingiverse – https://www.thingiverse.com/
- Makerworld – https://makerworld.com/
- Printables – https://www.printables.com/
- Cults – https://cults3d.com/
- CG Trader – https://www.cgtrader.com/3d-print-models
- Sketchfab – https://sketchfab.com/store/3d-models/stl
- 3D Export – https://3dexport.com/
- MyMiniFactory – https://www.myminifactory.com/
- Thangs – https://thangs.com/
- Yeggi – https://www.yeggi.com/
- FAB365 – https://fab365.net/
- Gambody – https://www.gambody.com/
- All3DP News – https://all3dp.com/
- TCT Magazine – https://www.tctmagazine.com/topics/3D-printing-news/
- 3DPrint.com – https://3dprint.com/
- NASA 3D Models – https://nasa3d.arc.nasa.gov/models/printable
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sRGB vs REC709 – An introduction and FFmpeg implementations
1. Basic Comparison
- What they are
- sRGB: A standard “web”/computer-display RGB color space defined by IEC 61966-2-1. It’s used for most monitors, cameras, printers, and the vast majority of images on the Internet.
- Rec. 709: An HD-video color space defined by ITU-R BT.709. It’s the go-to standard for HDTV broadcasts, Blu-ray discs, and professional video pipelines.
- Why they exist
- sRGB: Ensures consistent colors across different consumer devices (PCs, phones, webcams).
- Rec. 709: Ensures consistent colors across video production and playback chains (cameras → editing → broadcast → TV).
- What you’ll see
- On your desktop or phone, images tagged sRGB will look “right” without extra tweaking.
- On an HDTV or video-editing timeline, footage tagged Rec. 709 will display accurate contrast and hue on broadcast-grade monitors.
2. Digging Deeper
Feature sRGB Rec. 709 White point D65 (6504 K), same for both D65 (6504 K) Primaries (x,y) R: (0.640, 0.330) G: (0.300, 0.600) B: (0.150, 0.060) R: (0.640, 0.330) G: (0.300, 0.600) B: (0.150, 0.060) Gamut size Identical triangle on CIE 1931 chart Identical to sRGB Gamma / transfer Piecewise curve: approximate 2.2 with linear toe Pure power-law γ≈2.4 (often approximated as 2.2 in practice) Matrix coefficients N/A (pure RGB usage) Y = 0.2126 R + 0.7152 G + 0.0722 B (Rec. 709 matrix) Typical bit-depth 8-bit/channel (with 16-bit variants) 8-bit/channel (10-bit for professional video) Usage metadata Tagged as “sRGB” in image files (PNG, JPEG, etc.) Tagged as “bt709” in video containers (MP4, MOV) Color range Full-range RGB (0–255) Studio-range Y′CbCr (Y′ [16–235], Cb/Cr [16–240])
Why the Small Differences Matter
(more…) - What they are
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Photography basics: Color Temperature and White Balance
Color Temperature of a light source describes the spectrum of light which is radiated from a theoretical “blackbody” (an ideal physical body that absorbs all radiation and incident light – neither reflecting it nor allowing it to pass through) with a given surface temperature.
https://en.wikipedia.org/wiki/Color_temperature
Or. Most simply it is a method of describing the color characteristics of light through a numerical value that corresponds to the color emitted by a light source, measured in degrees of Kelvin (K) on a scale from 1,000 to 10,000.
More accurately. The color temperature of a light source is the temperature of an ideal backbody that radiates light of comparable hue to that of the light source.
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