Coupang early investor Ben Sun shares an inside look into the growth of the Korean e-commerce giant and explains how founder Bom Kim led a pivot when the company was already an established business.

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BEFORE HON'BLE MR. JUSTICE MANASH RANJAN PATHAK 11/11/2024 Heard Ms. B Devi, learned counsel for the petitioner and Mr. B Sarma, learned Additional Public Prosecutor, Assam for the State respondent.

2. This application under Section 439 of the Cr.P.C. (New Section 483 BNSS) has been filed by the petitioner, namely, Jashim Uddin Laskar, son of Late Jalal Uddin Laskar, resident of Village- Barnagad, P.O. Kalibaribazar, P.S. Algapur, District-Hailakandi, seeking bail in Silchar P.S. Case No. Page No.# 2/3 1935/2023 registered under Sections 379 IPC (Section New 303 BNS) corresponding to G.R. No. 3650/2023, wherein he was arrested on 11.09.2024 and is in custody since then.

Date : 11.11. 2024 Heard Mr. K. Baruah, learned counsel for the petitioner and Mr. M.P. Goswami, learned Addl. Public Prosecutor, Assam, appearing for the State respondent.

It is submitted by Mr. M.P. Goswami, learned Addl. Public Prosecutor that charge sheet vide C.S. No. 11/24, dated 31.03.2024 has already been submitted Page No.# 2/2 in connection with Kazigaon P.S. Case No. 87/2023 under Sections 120B/ 273/ 379/ 418/ 420/411 IPC read with Section 59(II) of Food Safety and Standard Act, 2006.

In view of the above, this petition is disposed of with a direction to the petitioner to approach before the trial court with an appropriate application seeking zimma of 125 bags of local areca nuts.

BEFORE HON'BLE MR. JUSTICE MICHAEL ZOTHANKHUMA Advocates for the petitioner : Mr. A. I. Uddin, Advocate For the respondents :

Dates of hearing : 08.11.2024 Date of Judgment : 12.11.2024 JUDGMENT AND ORDER (CAV)

1. Heard Mr. A. I. Uddin, learned counsel for the petitioner, who submits that the petitioner submitted his bid in respect of the E-Tender Notice No.06/2023- 2024 issued by the Divisional Forest Officer, Social Forestry Division, Pune, Government of Maharashtra, for supply of minimum 4 months old bamboo seedlings from certified seed source in around 4"x5" size polybags.

Texas Gov. Greg Abbott announced plans to “open Texas 100%,” allowing businesses to operate at full capacity and an end to the state’s mask mandate starting March 10. Photo: David J. Phillip/AP

Border Gavaskar Trophy Sparks Internet Storm: রোহিত শর্মার বদলে রাতারাতি ভারতের অধিনায়ক বিরাট কোহলি! এক পোস্টারেই ঝড় নেটপাড়ায়...  

Virat Kohli Fever: বিরাট কোহলির জ্বরে কাঁপছে অস্ট্রেলিয়া... চমকে দিল স্থানীয় খবরের কাগজ!  

With presitigious Border-Gavaskar Trophy tournament round the corner, Former Indian cricketer Sanjay Manjrekar shared some important and useful advices for Team India. Rohit Sharma and men, who recently faced a humiliating test series defeat vs New Zealand, are currently underconfidence and

The Indian men's cricket team is gearing up for the first Test of the 2024-25 Border-Gavaskar Trophy against Australia. This match will be held at Optus Stadium in Perth, starting on November 22. There is a possibility that Jasprit Bumrah might

The Board of Control for Cricket in India (BCCI) has decided against sending the Indian cricket team to Pakistan for the ICC Champions Trophy 2025. This decision has sparked a significant debate among fans and former cricketers. The BCCI cited 'security

On Monday, the MSME Ministry has asked corporates of the country to clear dues of small and medium enterprises (SMEs) on priority as these payments are important for operations and sustenance of jobs in the sector. The government has directly taken

The BCCI's refusal to send the Indian team to Pakistan for the 2025 Champions Trophy, citing security concerns, has sparked widespread debate. Suryakumar Yadav, when questioned by fans, said it's beyond players' control. 

Rishabh Pant, on the other hand, has already proven himself in Australia with his remarkable performances during India’s 2020-2021 tour.

Mohammed Shami's return to competitive cricket is much anticipated. The last time he was seen in action was during the ODI World Cup final against Australia on November 19, 2023.

Perth’s iconic WACA ground, renowned for its fast pitches, is currently enveloped in stringent security protocols to maintain the secrecy of India’s preparations.

Star wicketkeeper Rishabh Pant begins practice at Perth's WACA Ground ahead of India's Border-Gavaskar Trophy clash against Australia, starting November 22. 

Face masks are now a common skincare solution owing to their rapid nutrition supplements and ability to target particular skin issues. However, selecting the ideal mask for your skin type and requirements might be difficult with so many options available. We

Your mane matters! Healthy, happy hair denotes your priorities towards self-care. Bollywood beauties including Ananya Panday, Janhvi Kapoor, Alia Bhatt, and others understand this must-do beauty ritual and ensure to keep their locks in the finest condition. Now, these celebs may

Coconut Vendor: దేశంలో క్విక్ కామర్స్ కంపెనీలు రావటంతో చిన్న మధ్య తరహా వ్యాపారాలు భారీగా మూతపడిన సంగతి తెలిసిందే. ఈ స్టార్టప్ కంపెనీలు వేల కోట్లను ఫండ్ రూపంలో తెచ్చుకుని వాటితో ఆఫర్లంటూ కొనుగోలుదారులను ఆకట్టుకుంటాయి. సొమ్మొకడిది సోకొకడిది కావటంతో వీరి దూకుడు ఉంటుంది. ఇది వీధి వ్యాపారులను సైతం దెబ్బతీస్తోంది. పెద్ద కార్పొరేట్ కంపెనీల

ನ್ಯೂಜಿಲೆಂಡ್ ವಿರುದ್ಧ ಮೂರು ಪಂದ್ಯಗಳ ಟೆಸ್ಟ್ ಸರಣಿ ಸೋತಿರುವ ಭಾರತ ಇದೀಗ ಆಸ್ಟ್ರೇಲಿಯಾ ವಿರುದ್ಧದ ಐದು ಟೆಸ್ಟ್‌ಗಳ ಬಾರ್ಡರ್ ಗವಾಸ್ಕರ್ ಟ್ರೋಫಿ ಸರಣಿಗೆ ಸಜ್ಜಾಗುತ್ತಿದೆ. ಭಾರತ ತಂಡದ ಆಟಗಾರರು ಈಗಾಗಲೇ ಎರಡು ಬ್ಯಾಚ್‌ಗಳಲ್ಲಿ ಆಸ್ಟ್ರೇಲಿಯಾಗೆ ಪ್ರಯಾಣಿಸಿದ್ದು, ಶೀಘ್ರದಲ್ಲೇ ಮೊದಲ ಟೆಸ್ಟ್‌ಗೆ ಅಭ್ಯಾಸ ಆರಂಭಿಸಲಿದ್ದಾರೆ. ನವೆಂಬರ್ 22ರಿಂದ ಮೊದಲ ಟೆಸ್ಟ್ ಪರ್ತ್‌ನಲ್ಲಿ ಆರಂಭವಾಗಲಿದೆ. ಬಾರ್ಡರ್ ಗವಾಸ್ಕರ್ ಟ್ರೋಫಿ ಭಾರತ

The much anticipated Border-Gavaskar series between India and Australia will begin on November 22, with the first Test at Perth.

as an accessory, a banner, even an easel

Why Tista Sengupta wants Lopa and Manu to be disqualified...

'We have fewer actors in every scene.''We don't have family scenes or scenes that involve a lot of people.''We are not doing scenes which are intimate or require closeness.'

Property-related financial queries answered by R.P. Deshpande, Director, Institute of Home Finance

Your construction-related queries answered by Green Evolution, a Chennai-based architectural services firm

Your property-related legal queries answered by Rank Associates, a Chennai-based law firm that deals in these matters

Your property-related legal queries answered by Rank Associates

Even safety measures and educational qualification of their teaching staff will have to be disclosed

Birmingham, Maria, author

X’s updated privacy policy seeks to collect biometric data, job history of users

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The Food Minister says the role of FCI is not only to deliver ration, but also to instill confidence in farmers and beneficiaries by bringing in transparency, efficiency and accountability

As the number of highly capable large language models (LLMs) released continues to quickly increase, I added the ability to test new models when they become available in the Ask Luke conversational interface on this site.

For context there's a number of places in the Ask Luke pipeline that make use of AI models to transform, clean, embed, retrieve, generate content and more. I put together a short video that explains how this pipeline is constructed and why if you're interested.

Specifically for the content generation step, once the right content is found, ranked, and assembled into a set of instructions, I can select which large language model to send these instructions to. Every model gets the same instructions unless they can support a larger context window. In which case they might get more ranked results than a model with a smaller context size.

Despite the consistent instructions, switching LLMs can have a very big impact on answer generation. I'll leave you to guess which of these two answers is powered by OpenAI's GPT-4 and which one comes from Antrhopic's new (this week) Claude 3.5 Sonnet.

Some of you might astutely point out that the instruction set could be altered in specific ways when changing models. Recently, we've found the most advanced LLMs to be more interchangeable than before. But there's still differences in how they generate content as you can clearly see in the example above. Which one is best though... could soon be a matter of personal preference.

Thanks to Yangguang Li and Sam for the dev help on this feature.

Over the years, I've given more than 300 presentations on design. Most of these have been accompanied by a slide deck to illustrate my points and guide the narrative. But making the content in these decks work well with the Ask Luke conversational interface on this site has been challenging. So now I'm trying a new approach with AI vision models.

To avoid application specific formats (Keynote, PowerPoint), I've long been making my presentation slides available for download as PDF documents. These files usually consist of 100+ pages and often don't include a lot of text, leaning instead on visuals and charts to communicate information. To illustrate, here's of few of these slides from my Mind the Gap talk.

In an earlier article on how we built the Ask Luke conversational interface, I outlined the issues with extracting useful information from these documents. I wanted the content in these PDFs to be available when answering people's design questions in addition to the blog articles, videos and audio interviews that we were already using.

But even when we got text extraction from PDFs working well, running the process on any given PDF document would create many content embeddings of poor quality (like the one below). These content chunks would then end up influencing the answers we generated in less than helpful ways.

To prevent these from clogging up our limited context (how much content we can work with to create an answer) with useless results, we set up processes to remove low quality content chunks. While that improved things, the content in these presentations was no longer accessible to people asking questions on Ask Luke.

So we tried a different approach. Instead of extracting text from each page of a PDF presentation, we ran it through an AI vision model to create a detailed description of the content on the page. In the example below, the previous text extraction method (on the left) gets the content from the slide. The new vision model approach (on the right) though, does a much better job creating useful content for answering questions.

Here's another example illustrating the difference between the PDF text extraction method used before and the vision AI model currently in use. This time instead of a chart, we're generating a useful description of a diagram.

This change is now rolled out across all the PDFs the Ask Luke conversational interface can reference to answer design questions. Gone are useless content chunks and there's a lot more useful content immediately available.

Thanks to Yangguang Li for the dev help on this change.

The Ask Luke feature on this site uses the thousands of articles, hundreds of PDFs, dozens of videos, and more I've created over the years to answer people's questions about digital product design. Since it launched a year ago, we've been iterating on the core of the Ask Luke system: retrieving relevant content to improve answers.

The most important job of any product interface is making its value clear and accessible to people. Most apps resort to some form of onboarding to accomplish this, but it's exponentially more impactful to experience value than to be told it exists. Likewise it's much more effective to learn through using an interface than through a tutorial explaining it.

These two factors make the seemingly simple job of "getting people to product value" quite difficult. Compounding the issue is that fact that interface solutions that accomplish this often feel simple and obvious -but only after they're uncovered. So iterating to an interface that intuitively conveys value and purpose is usually an iterative process.

That's a long-winded introduction, but it's important context for the changes we made to Ask Luke. The purpose and value of this feature is to pull the most relevant bits of my writings, videos, audio, and files together to answer people's questions about digital product design. So we made a bunch of changes to make that even more front and center -to make how Ask Luke works more obvious.

Now as answers to people's questions stream in, we add citations to the relevant articles, videos, PDF, etc. being used to answer a question in real-time. We also add these citations to the list of sources on the right dynamically instead of all at once before a question is answered.

Before people were able to select any given source and view it in the Ask Luke conversational UI. With these updates, they are also taken to the relevant part of a source: to the relevant point in a video; to the relevant page in a PDF. Since this is easier to see than read about, here's a quick video demonstrating these changes and hopefully making the value and purpose of Ask Luke a bit more obvious.

• Integrated Audio Experiences & Memory: enabling specific content experiences within a conversational UI
• Expanding Conversational User Interfaces: extending chat user interfaces to better support AI capabilities
• Integrated Video Experiences: adding video-specific experiences within conversational UI
• Integrated PDF Experiences: unique considerations when adding PDF experiences
• Dynamic Preview Cards: created on the fly to improve sharing answers
• Text Generation Differences: testing the impact of AI new models
• PDF Parsing with Vision Models: using AI vision models to extract content form PDFs

Acknowledgments

Big thanks to Sidharth Lakshmanan and Sam Breed for the engineering lift on these changes.

Since launching the Ask Luke feature on this site last year, we've added the ability for the system to respond to questions about product design by citing articles, videos, audio, and PDFs. Now we're introducing the ability to cite the thousands of images I've created over the years and reference them directly in answers.

Significant improvements in AI vision models have given us the ability to quickly and easily describe visual content. I recently outlined how we used this capability to index the content of PDF pages in more depth making individual PDF pages a much better source of content in the Ask Luke corpus.

We applied the same process and pipeline to the thousands of images I've created for articles and presentations over the years. Essentially, each image on my Website gets parsed by a vision model and we add the resulting text-based description to the set of content we can use to answer people's design questions. Here's an example of the kinds of descriptions we're creating. As you can see, the descriptions can get pretty detailed when needed.

If someone asks a question where an image is a key part of the answer, our replies not only return streaming text and citations but inline images as well. In this question asking about Amazon's design changes over the years, multiple images are included directly in the response.

Not only are images displayed where relevant, the answer refers to them and often refers to the contents of the image. In the same Amazon navigation example, the answer refers to the green and white color scheme of the image in addition to its contents.

Now that we've got citations and images steaming inline in Ask Luke responses, perhaps adding inline videos and audio files queued to relevant timestamps might be next? We're already integrating those in the conversational UI so why not... AI is a hell of a drug.

Further Reading

Additional articles about what I've tried and learned by rethinking the design and development of my Website using large-scale AI models.

• New Ways into Web Content: rethinking how to design software with AI
• Integrated Audio Experiences & Memory: enabling specific content experiences
• Expanding Conversational User Interfaces: extending chat user interfaces
• Integrated Video Experiences: adding video experiences to conversational UI
• Integrated PDF Experiences: unique considerations when adding PDF experiences
• Dynamic Preview Cards: improving how generated answers are shared
• Text Generation Differences: testing the impact of AI new models
• PDF Parsing with Vision Models: using AI vision models to extract PDF contents
• Streaming Citations: citing relevant articles, videos, PDFs, etc. in real-time
• Streaming Inline Images: indexing & displaying relevant images in answers

Acknowledgments

Big thanks to Sidharth Lakshmanan and Sam Breed for the development help.

Abingdon, UK : Fyfield Wick Editions, [2008]

It’s been 10 years since Red Bull street trials rider Danny MacAskill burst onto our screens with his iconic 'Inspired Bicycles' video that has now clocked up close to 40 million views on YouTube. In the following 10 years, the Scotsman ditched his job as a bike mechanic and collaborated with Red Bull to bring his epic dreams to life in sensational videos like Way Back Home, Imaginate, Wee Day Out and many more. Danny's videos have clocked up nearly four hundred million views on YouTube. In this video, he looks back at some of his most challenging stunts and tells the stories behind how they came to be. #dannymacaskill #redbull #streettrials You can watch Danny MacAskill's full-length videos below: Wee Day Out: https://www.youtube.com/watch?v=K_7k3fnxPq0 Inspired: https://www.youtube.com/watch?v=Z19zFlPah-o& Imaginate: https://www.youtube.com/watch?v=Sv3xVOs7_No Way Back Home: www.youtube.com/watch?v=Cj6ho1-G6tw With thanks to Danny MacAskill, Red Bull Media House, Getty Images and Fusion Media.