Happy Birthday Dinesh Karthik: दिनेश कार्तिक आज अपना 38वां जन्मदिन मना रहे हैं. कार्तिक का जन्म एक जून साल 1985 में चेन्नई में हुआ था. कार्तिक भारतीय टीम से हमेशा अंदर बाहर होते रहे. लेकिन एक मुकाबला उनके जीवन का ऐसा रहा जिसे फैंस आज भी याद करते हैं.
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Wednesday, 31 May 2023
IPL 2023: CSK ने जीता खिताब, तो गौतम गंभीर ने ये क्या कह दिया! बोले- '5वीं बार टाइटल जीतना...'
Gautam Gambhir On CSK Tweet: चेन्नई सुपर किंग्स ने आईपीएल 2023 का खिताब जीत लिया है. उन्होंने पांचवी बार यह कारनामा कर दिखाया है. चेन्नई की जीत के बाद पूर्व क्रिकेटर और लखनऊ सुपरजायंट्स के कोच गौतम गंभीर का एक ट्वीट सोशल मीडिया पर काफी वायरल हो रहा है.
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जब आपस में भिड़े रवींद्र जडेजा और सुरेश रैना, जड्डू ने खो दिया था आपा, विराट को करना पड़ा था बीच-बचाव
Ravindra Jadeja Fight With Suresh Raina: क्रिकेट के मैदान पर कई बार एक ही टीम के खिलाड़ी आपस में भिड़ जाते हैं. टीम इंडिया के खिलाड़ियों के बीच भी यह कई बार देखा गया है. एक बार तो रवींद्र जडेजा और सुरेश रैना आपस में भिड़ गए थे. इस दौरान कप्तान विराट कोहली और अन्य खिलाड़ियों ने दोनों को समझाबुझाकर मामला शांत करवाया था.
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पाकिस्तान के लिए किन 5 गेंदबाजों ने टेस्ट क्रिकेट में चटकाए हैं सर्वाधिक विकेट? दिग्गजों से भरी है लिस्ट
पाकिस्तान के लिए टेस्ट क्रिकेट में सर्वाधिक विकेट चटकाने का रिकॉर्ड पूर्व तेज गेंदबाज वसीम अकरम के नाम दर्ज है. अकरम के बाद टॉप 5 में वकार यूनुस, इमरान खान, दानिश कनेरिया और यासिर शाह का नाम आता है.
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IPL 2023 Final: जड्डू तुस्सी ग्रेट हो! जिस बैट से चौका ठोक CSK को बनाया चैंपियन, वही कर दिया गिफ्ट
Ravindra Jadeja Gifted Hit Bat: रवींद्र जडेजा ने आईपीएल 2023 के फाइनल में गुजरात टाइटंस के खिलाफ आखिरी 2 गेंद में छक्का और चौका मार चेन्नई सुपर किंग्स को चैंपियन बनाया था. अब जीत के बाद उन्होंने दिल जीतने वाला एक और काम किया और जिस बैट से विजयी चौका लगाया था, वो गिफ्ट कर दिया है.
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सॉल्ट की गर्लफ्रेंड की मासूमियत देख किसी को भी हो जाएगा प्यार, बॉलीवुड एक्ट्रेस भी उनके सामने लगती हैं फीकी
फिल सॉल्ट की गर्लफ्रेंड का नाम एबी मैक्लेवेन है. सॉल्ट मैदान में जहां अपनी विस्फोटक बल्लेबाजी के लिए मशहूर हैं. वहीं मैक्लेवेन खूबसूरती एवं मासूमियत से लोगों का ध्यान अपनी तरफ आकर्षित करती हैं.
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अपना ASH बनाएगा टीम इंडिया को WTC का चैंपियन, रिकॉर्ड दमदार, अफ्रीकी दिग्गज का टूटेगा गुमान!
अश्विन आईसीसी वर्ल्ड टेस्ट चैंपियनशिप 2021-2023 में भारतीय टीम की तरफ से सर्वाधिक विकेट चटकाने वाले पहले गेंदबाज हैं. फाइनल मुकाबले में भी उनका जादू चला तो ब्लू टीम की जीत लगभग सुनिश्चित है.
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Tuesday, 30 May 2023
New top story on Hacker News: Show HN: I open sourced the QR designer from my failed startup
Show HN: I open sourced the QR designer from my failed startup
18 by koch | 2 comments on Hacker News.
My designer is somewhat special, if I do say so myself, as it allows you to put arbitrary designs in the middle area of the QR while still being totally scannable.
18 by koch | 2 comments on Hacker News.
My designer is somewhat special, if I do say so myself, as it allows you to put arbitrary designs in the middle area of the QR while still being totally scannable.
Monday, 29 May 2023
IPL Rising Star: 5 युवा खिलाड़ियों को नहीं भूल पाएंगे आप, जल्दी ही दिख सकते हैं नेशनल टीम में
इंडियन प्रीमियर लीग में यूं तो दुनिया के दिग्गजों की भरमार होती है. लेकिन कुछ युवा क्रिकेटर इन दिग्गजों के बीच भी अपनी पहचान बना ही लेते हैं. आईपीएल 2023 में भी ऐसा ही हुआ. बी साई सुदर्शन, रिंकू सिंह, यशस्वी जायसवाल, नेहल वढेरा, मथीशा पथिराणा, नूर अहमद जैसे कई युवा खिलाड़ियों ने आईपीएल 2023 में बेहतरीन प्रदर्शन कर घर-घर तक अपना नाम पहुंचाया. गुजरात टाइटंस के बी साई सुदर्शन और नूर अहमद ने अपनी टीम को फाइनल में पहुंचाया. वहीं, मथीशा पथिराणा आईपीएल 2023 जीतने वाली चेन्नई सुपरकिंग्स का अहम हिस्सा रहे.
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जडेजा के चौके से चेन्नई ने गुजरात के जबड़े से छीनी जीत, धोनी एंड कंपनी ने 5वीं बार आईपीएल ट्रॉफी पर किया कब्जा
गुजरात टाइटंस ने पहले बैटिंग करते हुए 4 विकेट पर 214 रन बनाए. साई सुदर्श ने 47 गेंदों पर 46 रन की पारी खेली. वह आईपीएल फाइनल में सबसे बड़ी पारी खेलने वाले बतौर अनकैप्ड दूसरे खिलाड़ी बने. गुजरात ने आईपीएल फाइनल का सबसे बड़ा स्कोर बनाया. इससे पहले सनराइजर्स हैदरबाद ने साल 2016 में फाइनल में आरसीबी के खिलाफ 7 विकेट पर 208 रन बनाए थे. इसके बाद बारिश शुरू हो गई. बारिश के बाद जब खेल शुरू तब सीएसके को 15 ओवर में 171 रन का संशोधित लक्ष्य मिला.
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Sunday, 28 May 2023
Saturday, 27 May 2023
Friday, 26 May 2023
शुभमन गिल की रिकॉर्डतोड़ सेंचुरी, मुंबई का सपना टूटा, लगातार दूसरे साल फाइनल में पहुंचे टाइटंस
युवा ओपनर शुभमन गिल के तीसरे शतक के दम पर गुजरात टाइटंस ने पहले बैटिंग करते हुए 20 ओवर में 3 विकेट पर 233 रन बनाए. गिल ने 60 गेंदों पर 129 रन की पारी खेली. आईपीएल क्वालीफायर 2 में गुजरात की ओर से बनाया गया यह स्कोर प्लेऑफ का सबसे बड़ा स्कोर है. आईपीएल 2023 फाइनल में गुजरात का सामना चेन्नई सुपरकिंग्स से होगा. गुजरात खिताब बचाओ अभियान के तहत टूर्नामेंट में उतरी है.
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Thursday, 25 May 2023
सूर्यकुमार यादव के साथ बैटिंग करना दुनिया का सबसे आसान काम है... SKY का मुरीद हुआ कंगारू ऑलराउंडर
मुंबई इंडियंस और मौजूदा चैंपियन गुजरात टाइटंस की टीमें शुक्रवार को क्वालीफायर 2 में आमने सामने होंगी. इस मुकाबले को जीतने वाली टीम को आईपीएल 2023 फाइनल का टिकट मिलेगा. मुंबई के ऑलराउंडर कैमरन ग्रीन इस समय टीम के लिए शानदार प्रदर्शन कर रहे हैं. उन्होंने मुंबई टीम के साथी बैटर सूर्यकुमार यादव की जमकर तारीफ की है.
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Wednesday, 24 May 2023
New top story on Hacker News: Ask HN: How does archive.is bypass paywalls?
Ask HN: How does archive.is bypass paywalls?
23 by flerovium | 23 comments on Hacker News.
If it simply visits sites, it will face a paywall too. If it identifies itself as archive.is, then other people could identify themselves the same way.
23 by flerovium | 23 comments on Hacker News.
If it simply visits sites, it will face a paywall too. If it identifies itself as archive.is, then other people could identify themselves the same way.
Tuesday, 23 May 2023
As Migration to U.K. Soars, Britain Targets Visas for Students’ Kin
By BY STEPHEN CASTLE from NYT World https://ift.tt/nBipegd
Tiny Love Stories: ‘I Never Saw My Parents Kiss’
By Unknown Author from NYT Style https://ift.tt/e2Jwphy
Monday, 22 May 2023
Rick Wolff, Sports Radio Host and Much More, Is Dead at 71
By BY DANIEL E. SLOTNIK from NYT Sports https://ift.tt/LWaoGwJ
Erdogan Secures Endorsement of Former Rival for President
By BY BEN HUBBARD AND GULSIN HARMAN from NYT World https://ift.tt/ZOiRA53
Sunday, 21 May 2023
With His Party Ahead in Elections, Greek Leader Claims ‘Political Earthquake’
By BY NIKI KITSANTONIS from NYT World https://ift.tt/jsXrKxL
New top story on Hacker News: Ask HN: I have 176 logins/accounts. How many do you have?
Ask HN: I have 176 logins/accounts. How many do you have?
29 by bojangleslover | 43 comments on Hacker News.
Here is a screenshot of my Bitwarden: https://ift.tt/MKJAw6r They include some really important things such as: Health insurance G-Suite for work Bill.com (which I use to get paid) IRS.gov (which I use to get un-paid) UK Companies House Register Interactive Brokers My bank Obviously, anything with OAuth is "bundled" into my Google account. So if anything this is a huge underestimate. I'm asking because of how insane auth has become. I know companies like OnePassword and Bitwarden are working on this and overall they do a great job. But I still have a near-stroke every time I have to do the "forgot my password" loop, or use Duo Mobile/other 2FA. The only really good auth feature I've ever encountered has been Apple's "fill from Messages" feature as well as their Touch.
29 by bojangleslover | 43 comments on Hacker News.
Here is a screenshot of my Bitwarden: https://ift.tt/MKJAw6r They include some really important things such as: Health insurance G-Suite for work Bill.com (which I use to get paid) IRS.gov (which I use to get un-paid) UK Companies House Register Interactive Brokers My bank Obviously, anything with OAuth is "bundled" into my Google account. So if anything this is a huge underestimate. I'm asking because of how insane auth has become. I know companies like OnePassword and Bitwarden are working on this and overall they do a great job. But I still have a near-stroke every time I have to do the "forgot my password" loop, or use Duo Mobile/other 2FA. The only really good auth feature I've ever encountered has been Apple's "fill from Messages" feature as well as their Touch.
टूटा कोहली का 'विराट' सपना, गिल के तूफान में उड़े चैलेंजर्स, मुंबई प्लेऑफ में पहुंची
आरसीबी की ओर से विराट कोहली ने शानदार शतक जड़ा. उन्होंने आईपीएल करियर का 7वीं सेंचुरी बनाई. विराट ने इस सीजन लगातार दूसरा शतक जड़ा. वह मौजूदा आईपीएल में 600 से ज्यादा रन बना चुके हैं. आरसीबी के पूर्व कप्तान ने तीसरी बार आईपीएल में 600 का आंकड़ा छुअ है.
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विराट कोहली की IPL में शतकों की सुनामी, 'डबल सेंचुरी' जमाकर खूंखार क्रिस गेल का रिकॉर्ड तोड़ा, रोहित काफी पीछे
इंडियन प्रीमियर लीग के 16वें सीजन में विराट कोहली ने ऐसा कमाल कर दिखाया जिससे उनका नाम टूर्नामेंट के इतिहास में हमेशा के लिए दर्ज हो गया. नए सीजन में नए जोश के साथ उतरे इस बैटर ने एक नहीं बल्कि दो लगातार मैच में शतक जमाया. हैदराबाद के खिलाफ सेंचुरी ठोकने वाले विराट कोहली ने गुजरात टाइटंस के साथ खेलते हुए भी सैंकड़ा जड़ दिया. इस धुरंधर की एक पारी ने आईपीएल का इतिहास बदल दिया.
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China Bans Some Sales of Chips From U.S. Company Micron
By BY CHANG CHE from NYT Business https://ift.tt/bKDWu49
Saturday, 20 May 2023
Requiem for the 7 dead horses of Kentucky Derby week.
By BY JOE DRAPE from NYT Sports https://ift.tt/zfFcEyP
James de Jongh, Who Put Stories of Slavery Onstage, Dies at 80
By BY NEIL GENZLINGER from NYT Theater https://ift.tt/uBtdYai
LSG Qualify in Playoff: रिंकू सिंह ने फुलाई क्रुणाल पंड्या की सांसे, अंत में लखनऊ ने मारी बाजी, प्लेऑफ में पहुंचे
पहले बैटिंग करते हुए लखनऊ सुपर जायंट्स ने निर्धारित 20 ओवरों में सात विकेट के नुकसान पर 176 रन बनाए. लक्ष्य का पीछा करने के दौरान रिंकू सिंह ने केकेआर की सांसे फुला दी. अपने अर्धशतक के दम पर वो केकेआर को काफी करीब लेकर आए. हालांकि अंत में चूक गए.
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More Than a Dozen People Killed in Northern Italy Flooding
By BY REUTERS AND THE ASSOCIATED PRESS from NYT World https://ift.tt/cR9DqpL
Friday, 19 May 2023
‘The Fears’ Review: Group Therapy Was Never More Triggering
By BY MAYA PHILLIPS from NYT Theater https://ift.tt/TKeZqhi
महेंद्र सिंह धोनी बैटिंग ऑर्डर में क्यों उतर रहे नीचे? क्यों दौड़ने से कर रहे परहेज? माइक हसी ने खोल दी पोल
41 वर्षीय महेंद्र सिंह धोनी आईपीएल के 16वें सीजन में 196 के स्ट्राइक रेट से अभी तक 98 रन बना चुके हैं. वह मौजूदा आईपीएल में बीच के ओवरों में बैटिंग के लिए नहीं उतर रहे हैं. माही क्यों निचले क्रम में बैटिंग के लिए उतर रहे हैं, इसका खुलासा बैटिंग कोच माइक हसी ने किया है.
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Blur Surprises With a Reflection on Fame, and 9 More New Songs
By BY JON PARELES AND LINDSAY ZOLADZ from NYT Arts https://ift.tt/LQrdkUu
Thursday, 18 May 2023
What to Know About Post-Shingles Encephalitis
By BY BENJAMIN MUELLER from NYT Health https://ift.tt/bsTarqI
क्रिस गेल के बाद ऐसा करने वाले विराट कोहली पहले बल्लेबाज, IPL में रच दिया इतिहास, शतक जमाकर तोड़े कई रिकॉर्ड
इंडियन प्रीमियर लीग के 16वें सीजन में इस बल्लेबाज ने रनों का अंबार लगा दिया है. सनराइजर्स हैदराबाद के खिलाफ मुश्किल मुकाबले में बड़े लक्ष्य के सामने एक ऐसी पारी खेल डाली जिसने पूरा मैच बदल दिया. कोहली के बल्ले से बल्ले से आईपीएल का सूखा खत्म हुआ.
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Disney Pulls Plug on $1 Billion Development in Florida
By BY BROOKS BARNES from NYT Business https://ift.tt/XZ5ibAd
Wednesday, 17 May 2023
Newly Published, From Young Adult Novels to China’s Cultural Revolution
By Unknown Author from NYT Books https://ift.tt/OXVWSwU
PBKS vs DC: लियाम लिविंगस्टन ने झोंकी जान, पंजाब के सामने दीवार बनी दिल्ली, प्लेऑफ में पहुंचना नामुमकिन
प्लेऑफ की रेस में बने रहने के लिए पंजाब ने दिल्ली को शानदार टक्कर दी. टीम की तरफ से अथर्व तायडे और लियाम लिविंगस्टन ने जीत के लिए जान झोंक दी. लेकिन अंत में करो या मरो के मुकाबले में पंजाब को 15 रन से शिकस्त झेलनी पड़ी.
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Desert Monoliths Reveal World’s Oldest Architectural Plans
By BY PRIYANKA RUNWAL from NYT Science https://ift.tt/LJvRPa8
Tuesday, 16 May 2023
Kentucky State Senate District 28 Special Election Results
By Unknown Author from NYT U.S. https://ift.tt/thN10CZ
U.S. Tech Espionage Team Unveils First Cases Involving China and Russia
By BY ANA SWANSON from NYT U.S. https://ift.tt/uAUi9yn
Monday, 15 May 2023
Staff Members Attacked With Bat at Congressman’s Virginia Office
By BY REMY TUMIN from NYT U.S. https://ift.tt/vLIFkGU
New top story on Hacker News: Show HN: Openlayer – Test, fix, and improve your ML models
Show HN: Openlayer – Test, fix, and improve your ML models
17 by vikasnair | 5 comments on Hacker News.
Hey HN, my name is Vikas, and my cofounders Rish, Gabe and I are building Openlayer: http://openlayer.com/ Openlayer is an ML testing, evaluation, and observability platform designed to help teams pinpoint and resolve issues in their models. We were ML engineers experiencing the struggle that goes into properly evaluating models, making them robust to the myriad of unexpected edge cases they encounter in production, and understanding the reasons behind their mistakes. It was like playing an endless game of whack-a-mole with Jupyter notebooks and CSV files — fix one issue and another pops up. This shouldn’t be the case. Error analysis is vital to establishing guardrails for AI and ensuring fairness across model predictions. Traditional software testing platforms are designed for deterministic systems, where a given input produces an expected output. Since ML models are probabilistic, testing them reliably has been a challenge. What sets Openlayer apart from other companies in the space is our end-to-end approach to tackling both pre- and post-deployment stages of the ML pipeline. This "shift-left" approach emphasizes the importance of thorough validation before you ship, rather than relying solely on monitoring after you deploy. Having a strong evaluation process pre-ship means fewer bugs for your users, shorter and more efficient dev-cycles, and lower chances of getting into a PR disaster or having to recall a model. Openlayer provides ML teams and individuals with a suite of powerful tools to understand models and data beyond your typical metrics. The platform offers insights about the quality of your training and validation sets, the performance of your model across subpopulations of your data, and much more. Each of these insights can be turned into a “goal.” As you commit new versions of your models and data, you can see how your model progresses towards these goals, as you guard against regressions you may have otherwise not picked up on and continually raise the bar. Here's a quick rundown of the Openlayer workflow: 1. Add a hook in your training / data ingestion pipeline to upload your data and model predictions to Openlayer via our API 2. Explore insights about your models and data and create goals around them [1] 3. Diagnose issues with the help of our platform, using powerful tools like explainability (e.g. SHAP values) to get actionable recommendations on how to improve 4. Track the progress over time towards your goals with our UI and API and create new ones to keep improving We've got a free sandbox for you to try out the platform today! You can sign up here: https://ift.tt/xOBh6od . We are also soon adding support for even more ML tasks, so please reach out if your use case is not supported and we can add you to a waitlist. Give Openlayer a spin and join us in revolutionizing ML development for greater efficiency and success. Let us know what you think, or if you have any questions about Openlayer or model evaluation in general. [1] A quick run-down of the categories of goals you can track: - Integrity goals measure the quality of your validation and training sets - Consistency goals guard against drift between your datasets - Performance goals evaluate your model's performance across subpopulations of the data - Robustness goals stress-test your model using synthetic data to uncover edge cases - Fairness goals help you understand biases in your model on sensitive populations
17 by vikasnair | 5 comments on Hacker News.
Hey HN, my name is Vikas, and my cofounders Rish, Gabe and I are building Openlayer: http://openlayer.com/ Openlayer is an ML testing, evaluation, and observability platform designed to help teams pinpoint and resolve issues in their models. We were ML engineers experiencing the struggle that goes into properly evaluating models, making them robust to the myriad of unexpected edge cases they encounter in production, and understanding the reasons behind their mistakes. It was like playing an endless game of whack-a-mole with Jupyter notebooks and CSV files — fix one issue and another pops up. This shouldn’t be the case. Error analysis is vital to establishing guardrails for AI and ensuring fairness across model predictions. Traditional software testing platforms are designed for deterministic systems, where a given input produces an expected output. Since ML models are probabilistic, testing them reliably has been a challenge. What sets Openlayer apart from other companies in the space is our end-to-end approach to tackling both pre- and post-deployment stages of the ML pipeline. This "shift-left" approach emphasizes the importance of thorough validation before you ship, rather than relying solely on monitoring after you deploy. Having a strong evaluation process pre-ship means fewer bugs for your users, shorter and more efficient dev-cycles, and lower chances of getting into a PR disaster or having to recall a model. Openlayer provides ML teams and individuals with a suite of powerful tools to understand models and data beyond your typical metrics. The platform offers insights about the quality of your training and validation sets, the performance of your model across subpopulations of your data, and much more. Each of these insights can be turned into a “goal.” As you commit new versions of your models and data, you can see how your model progresses towards these goals, as you guard against regressions you may have otherwise not picked up on and continually raise the bar. Here's a quick rundown of the Openlayer workflow: 1. Add a hook in your training / data ingestion pipeline to upload your data and model predictions to Openlayer via our API 2. Explore insights about your models and data and create goals around them [1] 3. Diagnose issues with the help of our platform, using powerful tools like explainability (e.g. SHAP values) to get actionable recommendations on how to improve 4. Track the progress over time towards your goals with our UI and API and create new ones to keep improving We've got a free sandbox for you to try out the platform today! You can sign up here: https://ift.tt/xOBh6od . We are also soon adding support for even more ML tasks, so please reach out if your use case is not supported and we can add you to a waitlist. Give Openlayer a spin and join us in revolutionizing ML development for greater efficiency and success. Let us know what you think, or if you have any questions about Openlayer or model evaluation in general. [1] A quick run-down of the categories of goals you can track: - Integrity goals measure the quality of your validation and training sets - Consistency goals guard against drift between your datasets - Performance goals evaluate your model's performance across subpopulations of the data - Robustness goals stress-test your model using synthetic data to uncover edge cases - Fairness goals help you understand biases in your model on sensitive populations
Staff Members Attacked With Bat at Congressman’s Virginia Office
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What We Learned Through a Quarter of the M.L.B. Season
By BY BENJAMIN HOFFMAN from NYT Sports https://ift.tt/vNzbh67
Sunday, 14 May 2023
Here is how you pronounce Kilicdaroglu.
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U.S. officials, often exasperated by Erdogan, are watching the vote closely.
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MS Dhoni के पास ऑटोग्राफ लेने पहुंचे सुनील गावस्कर, माही ने नहीं किया निराश, कैमरे में रिकॉर्ड हुए ऐतिहासिक पल
MS Dhoni gives autograph to Sunil Gavaskar: महेंद्र सिंह धोनी के पास क्रिकेट फैन्स की कोई कमी नहीं है. उनकी इस लिस्ट में अब क्रिकेट के इतिहास में सबसे पहले 10 हजार रन बनाने वाले सुनील गावस्कर का नाम भी जुड़ गया है.
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Saturday, 13 May 2023
New top story on Hacker News: Committing changes to a 130GB Git repository without full checkouts [video]
Committing changes to a 130GB Git repository without full checkouts [video]
5 by eliomattia | 0 comments on Hacker News.
Hey HN, would appreciate feedback on a version control for data toolset I am building, creatively called the Data Manager. When working with large repositories with data, full checkouts are problematic. Many git-for-data solutions will create a new copy of the entire datasets for each commit and none of them allow contributing to a data repo without full checkouts, to my knowledge. In the video, a workflow that does not require full checkouts of the datasets and still allows to commit changes in Git is presented. Specifically, it becomes possible to check out kilobytes to commit changes to a 130 gigabyte repository, including versions. Note that only diffs are committed, at row, column, and cell level, so the diffing that appears in the GUI will seem weird, since it will interpret the old diff as the file to be compared with the new one, when in fact they are both just diffs. The goal of the Data Manager is to version datasets and structured data in general, in a storage-efficient way, and easily identify and deploy to S3 datasets snapshots, identified by repository and commit sha (and optionally a tag) that need to be pulled for processing. S3 is also used to upload heavy files that are then pointed by reference, not URL, in Git commits. The no-full-checkout workflow shown applies naturally to adding data and can be extended to edits or deletions provided the old data is known. That is to ensure the creation of bidirectional diffs that enable navigating Git history both forward and backward, useful when caching snapshots. The burden of checking out and building snapshots from diff history is now borne by localhost, but that may change, as mentioned in the video. Smart navigation of git history from the nearest available snapshots, building snapshots with Spark, and other ways to save on data transfer and compute are being evaluated. This paradigm enables hibernating or cleaning up history on S3 for datasets no longer necessary to create snapshots, like those that are deleted, if snapshots of earlier commits are not needed. Individual data entries could also be removed for GDPR compliance using versioning on S3 objects, orthogonal to git. The prototype already cures the pain point I built it for: it was impossible to (1) uniquely identify and (2) make available behind an API multiple versions of a collection of datasets and config parameters, (3) without overburdening HDDs due to small, but frequent changes to any of the datasets in the repo and (4) while being able to see the diffs in git for each commit in order to enable collaborative discussions and reverting or further editing if necessary. Some background: I am building natural language AI algorithms (a) easily retrainable on editable training datasets, meaning changes or deletions in the training data are reflected fast, without traces of past training and without retraining the entire language model (sounds impossible), and (b) that explain decisions back to individual training data. LLMs have fixed training datasets, whereas editable datasets call for a system to manage data efficiently, plus I wanted to have something that integrates naturally with common, tried and tested tools such as Git, S3, and MySQL, hence the Data Manager. I am considering open-source: is that the best way to go? Which license to choose?
5 by eliomattia | 0 comments on Hacker News.
Hey HN, would appreciate feedback on a version control for data toolset I am building, creatively called the Data Manager. When working with large repositories with data, full checkouts are problematic. Many git-for-data solutions will create a new copy of the entire datasets for each commit and none of them allow contributing to a data repo without full checkouts, to my knowledge. In the video, a workflow that does not require full checkouts of the datasets and still allows to commit changes in Git is presented. Specifically, it becomes possible to check out kilobytes to commit changes to a 130 gigabyte repository, including versions. Note that only diffs are committed, at row, column, and cell level, so the diffing that appears in the GUI will seem weird, since it will interpret the old diff as the file to be compared with the new one, when in fact they are both just diffs. The goal of the Data Manager is to version datasets and structured data in general, in a storage-efficient way, and easily identify and deploy to S3 datasets snapshots, identified by repository and commit sha (and optionally a tag) that need to be pulled for processing. S3 is also used to upload heavy files that are then pointed by reference, not URL, in Git commits. The no-full-checkout workflow shown applies naturally to adding data and can be extended to edits or deletions provided the old data is known. That is to ensure the creation of bidirectional diffs that enable navigating Git history both forward and backward, useful when caching snapshots. The burden of checking out and building snapshots from diff history is now borne by localhost, but that may change, as mentioned in the video. Smart navigation of git history from the nearest available snapshots, building snapshots with Spark, and other ways to save on data transfer and compute are being evaluated. This paradigm enables hibernating or cleaning up history on S3 for datasets no longer necessary to create snapshots, like those that are deleted, if snapshots of earlier commits are not needed. Individual data entries could also be removed for GDPR compliance using versioning on S3 objects, orthogonal to git. The prototype already cures the pain point I built it for: it was impossible to (1) uniquely identify and (2) make available behind an API multiple versions of a collection of datasets and config parameters, (3) without overburdening HDDs due to small, but frequent changes to any of the datasets in the repo and (4) while being able to see the diffs in git for each commit in order to enable collaborative discussions and reverting or further editing if necessary. Some background: I am building natural language AI algorithms (a) easily retrainable on editable training datasets, meaning changes or deletions in the training data are reflected fast, without traces of past training and without retraining the entire language model (sounds impossible), and (b) that explain decisions back to individual training data. LLMs have fixed training datasets, whereas editable datasets call for a system to manage data efficiently, plus I wanted to have something that integrates naturally with common, tried and tested tools such as Git, S3, and MySQL, hence the Data Manager. I am considering open-source: is that the best way to go? Which license to choose?
‘That Fear Never Goes Away’: One Family Awaits a Decision on Asylum
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How Britain hosted a Eurovision for Ukraine.
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Friday, 12 May 2023
MI vs GT: बल्लेबाजों के बाद एमआई के गेंदबाजों का धमाल, रोहित एंड कंपनी को मिली बड़ी जीत
आईपीएल 2023 का 57वां मुकाबला मुंबई इंडियंस और गुजरात टाइटंस के बीच वानखेड़े स्टेडियम में खेला गया. इस मुकाबले में मुंबई की टीम 27 रन से जीत हासिल करने में कामयाब रही.
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In Deposition, Former Prosecutor Rebuffs G.O.P. Questions About Trump Case
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New top story on Hacker News: Baltimore sues Hyundai, Kia over spike in car thefts
Baltimore sues Hyundai, Kia over spike in car thefts
47 by amadeuspagel | 142 comments on Hacker News.
47 by amadeuspagel | 142 comments on Hacker News.
Thursday, 11 May 2023
The House is poised to pass a Republican bill cracking down on unlawful migration at the border.
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One family’s final hurdle in a long journey: crossing the Rio Grande with a terrified 4-year-old.
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Wednesday, 10 May 2023
F.B.I. Says Video Voyeur Hid Camera in Cruise Ship Bathroom
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Phoenix Dismantles a Homeless Encampment, One Block at a Time
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In a Speech, Mayor Adams Says Jordan Neely’s ‘Life Mattered’
By BY MARIA CRAMER AND JEFFERY C. MAYS from NYT New York https://ift.tt/Bdzi0HI
Tuesday, 9 May 2023
Here’s a closer look at the $5 million in damages that the jury awarded Carroll.
By BY LOLA FADULU from NYT New York https://ift.tt/oeV63Or
A civil trial differs in key respects from a criminal case.
By BY KATE CHRISTOBEK from NYT New York https://ift.tt/IMLq8nE
Monday, 8 May 2023
Review: Dispassionate Traumas and Choral Dream Songs
By BY BRIAN SEIBERT from NYT Arts https://ift.tt/1wWdVlZ
Zelensky pledges ‘a new victory’ on a key World War II anniversary.
By BY SHASHANK BENGALI from NYT World https://ift.tt/tCAqOln
Sunday, 7 May 2023
Your Monday Briefing: Kishida Visits Seoul
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Bronny James Commits to U.S.C. as Father Dreams of N.B.A. Meet-Up
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Biden Faces Bleak Approval Numbers as He Starts Re-election Campaign
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Saturday, 6 May 2023
King Charles III’s coronation featured new roles for women.
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A ‘Big Gay Diana Party’ and protests: Britons seek alternative events to coronation.
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Even with a heavy crown, Camilla seems lighter in her new role.
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Friday, 5 May 2023
पाकिस्तान वनडे में हुआ नंबर-1, भारत-ऑस्ट्रेलिया को किया पीछे, एक सीरीज में ही 5वें से पहले पायदान पर पहुंचा
ICC ODI Rankings: पाकिस्तान ने न्यूजीलैंड को कराची में खेले गए चौथे वनडे में 102 रन से हराया. ये पांच मैच की सीरीज में पाकिस्तान की लगातार चौथी जीत है. इसके साथ ही बाबर आजम की अगुआई वाली पाकिस्तान टीम आईसीसी की वनडे रैंकिंग में नंबर-1 हो गई.
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The first lady, Jill Biden, greets children and veterans in London.
By BY MEGAN SPECIA from NYT World https://ift.tt/zQqmBPo
New top story on Hacker News: Show HN: On the security of the Linux disk encryption LUKS
Show HN: On the security of the Linux disk encryption LUKS
18 by proxystore | 1 comments on Hacker News.
In the past few days, there have been uncertainties and concerns about the LUKS (“Linux Unified Key Setup”) disk encryption, which is widely used on Linux. We publish our assessment of this here.
18 by proxystore | 1 comments on Hacker News.
In the past few days, there have been uncertainties and concerns about the LUKS (“Linux Unified Key Setup”) disk encryption, which is widely used on Linux. We publish our assessment of this here.
Review: Dancers Fighting for Their Place in a Dystopian World
By BY GIA KOURLAS from NYT Arts https://ift.tt/Z1cydbL
Did the Rock & Roll Hall of Fame (Gasp) Get It Right?
By Unknown Author from NYT Arts https://ift.tt/6CzmxnN
Thursday, 4 May 2023
How Much Watching Time Do You Have This Weekend?
By BY MARGARET LYONS from NYT Arts https://ift.tt/5u6hvND
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Can the moon influence human health? New research 25 by sabrina_ramonov | 11 comments on Hacker News.
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