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Photo caption: Saks Keynote Vision Let’s face it: technology often feels like both a blessing and a burden. On one hand, it has fueled unprecedented growth and connectivity; on the other, it frequently leaves businesses and professionals hopelessly attached to their screens. Recognizing this trend, Daniel Saks, CEO and co-founder of Landbase, is on a mission to create a world where technology serves humanity, not the other way around. Founding Landbase Landbase was born from the belief that technology should enhance our lives, allowing us to focus on what truly matters. “Imagine a world where technology liberates us,” Saks emphasizes. “We want to help you concentrate on closing deals, driving innovation, or simply enjoying time with loved ones.” This vision is at the heart of Landbase, a platform designed to help individuals and organizations reclaim their day by streamlining operations and maximizing efficiency. Reclaim Your Day With Agentic AI With the mantra “Reclaim Your Day,” the Landbase platform empowers users by dismantling silos and fostering collaboration. With 72% of AI users reporting heightened productivity, Landbase harnesses intelligent automation to support informed, human-centric decisions. Whether you’re closing a deal, leading your team, or taking a moment to breathe in nature, Landbase aims to be your partner in reclaiming valuable time. Saks believes that “you should no longer work for your software; your software should work for you.” This guiding principle drives the development of tools that predict your next steps, enhancing focus and efficiency. The Technology Behind Landbase At the core of Landbase is its innovative GTM-1 Omni, the world’s first agentic model designed to streamline B2B go-to-market strategies. This powerful productivity engine seamlessly executes actions to generate predictable revenue, transforming how businesses approach their sales and marketing efforts. Saks explains, “At the heart of Landbase is our dedication to handling the grind so you can shine.” By intelligently automating processes, Landbase frees up time for what truly matters, allowing business leaders to focus on growth and creativity. More than just a sales tool, Landbase is an evolving platform powered by AI that continuously learns and adapts to users’ needs. It helps sales professionals close deals with minimal effort and maximum impact. With 60% of sales professionals valuing AI and automation tools, Landbase’s intelligent engine is indispensable for modern business strategies. As businesses grow, so does Landbase, transforming efforts into extraordinary results. “It’s like having an extra pair of hands on your team,” Saks notes, underscoring the platform’s potential to amplify success. A Visionary Perspective on AI Reflecting on the past, Saks recalls, “I predicted the growth in SaaS back in 2008 when no one thought it would be a thing. Everyone was against it, except for a small group of misfit entrepreneurs with a vision.” He fondly remembers meeting at SXSW in 2010 with like-minded innovators who would later shape the Cloud Software Association, a collective of 200 individuals whose tiny companies are now worth a collective trillions in market cap. This group included leaders from Shopify, Dropbox, Mailchimp, and more. Now, Saks predicts that Agentic AI—not generative AI or Web 3.0—will be the wave that eclipses the cloud, potentially becoming five times a bigger market. “There could be 100 startups now in stealth that could upend the B2B tech world as we know it,” he asserts. “While SaaS resulted in us being glued to our screens and slaves to our software, Agentic AI does the work for you, allowing you to reclaim your day and do more of what you love.” The Power of Connection Saks's belief in the power of connection and outreach was evident even at a young age. When he was 12, he sent a handwritten note to Bill Gates, who, at the time, was the richest man in the world. To his surprise, Gates responded with an autographed picture. Additionally, he recalls a cold email from Michael Dell when starting AppDirect. “I thought it was fake or spam, but it came from a dell.com address, so I took the call the next morning, and it really was Michael Dell. We've stayed in touch; he's amazing.” Join the Movement Landbase is more than a product; it’s a movement aimed at reshaping the future of work. With over 59% of AI users showing increased job satisfaction, Daniel Saks invites everyone to join him on this journey where technology finally works to give humans more of what they want. “Together, we can create a world where technology enhances our lives and allows us to reclaim our days.” You can learn more about Daniel Saks and his personal mission by visiting his LinkedIn. For more information about Landbase and how it is helping professionals ‘reclaim their day,’ you can visit their website. Photo caption: Saks Keynote Vision Photo caption: Saks Keynote Vision Photo caption: Saks Keynote Vision Let’s face it: technology often feels like both a blessing and a burden. On one hand, it has fueled unprecedented growth and connectivity; on the other, it frequently leaves businesses and professionals hopelessly attached to their screens. Recognizing this trend, Daniel Saks, CEO and co-founder of Landbase , is on a mission to create a world where technology serves humanity, not the other way around. Landbase Landbase Founding Landbase Founding Landbase Landbase was born from the belief that technology should enhance our lives, allowing us to focus on what truly matters. “Imagine a world where technology liberates us,” Saks emphasizes. “We want to help you concentrate on closing deals, driving innovation, or simply enjoying time with loved ones.” This vision is at the heart of Landbase, a platform designed to help individuals and organizations reclaim their day by streamlining operations and maximizing efficiency. Reclaim Your Day With Agentic AI Reclaim Your Day With Agentic AI With the mantra “Reclaim Your Day,” the Landbase platform empowers users by dismantling silos and fostering collaboration. With 72% of AI users reporting heightened productivity, Landbase harnesses intelligent automation to support informed, human-centric decisions. Whether you’re closing a deal, leading your team, or taking a moment to breathe in nature, Landbase aims to be your partner in reclaiming valuable time. Saks believes that “you should no longer work for your software; your software should work for you.” This guiding principle drives the development of tools that predict your next steps, enhancing focus and efficiency. The Technology Behind Landbase The Technology Behind Landbase At the core of Landbase is its innovative GTM-1 Omni, the world’s first agentic model designed to streamline B2B go-to-market strategies. This powerful productivity engine seamlessly executes actions to generate predictable revenue, transforming how businesses approach their sales and marketing efforts. Saks explains, “At the heart of Landbase is our dedication to handling the grind so you can shine.” By intelligently automating processes, Landbase frees up time for what truly matters, allowing business leaders to focus on growth and creativity. More than just a sales tool, Landbase is an evolving platform powered by AI that continuously learns and adapts to users’ needs. It helps sales professionals close deals with minimal effort and maximum impact. With 60% of sales professionals valuing AI and automation tools, Landbase’s intelligent engine is indispensable for modern business strategies. As businesses grow, so does Landbase, transforming efforts into extraordinary results. “It’s like having an extra pair of hands on your team,” Saks notes, underscoring the platform’s potential to amplify success. A Visionary Perspective on AI A Visionary Perspective on AI Reflecting on the past, Saks recalls, “I predicted the growth in SaaS back in 2008 when no one thought it would be a thing. Everyone was against it, except for a small group of misfit entrepreneurs with a vision.” He fondly remembers meeting at SXSW in 2010 with like-minded innovators who would later shape the Cloud Software Association, a collective of 200 individuals whose tiny companies are now worth a collective trillions in market cap. This group included leaders from Shopify, Dropbox, Mailchimp, and more. Now, Saks predicts that Agentic AI—not generative AI or Web 3.0—will be the wave that eclipses the cloud, potentially becoming five times a bigger market. “There could be 100 startups now in stealth that could upend the B2B tech world as we know it,” he asserts. “While SaaS resulted in us being glued to our screens and slaves to our software, Agentic AI does the work for you, allowing you to reclaim your day and do more of what you love.” The Power of Connection The Power of Connection Saks's belief in the power of connection and outreach was evident even at a young age. When he was 12, he sent a handwritten note to Bill Gates, who, at the time, was the richest man in the world. To his surprise, Gates responded with an autographed picture. Additionally, he recalls a cold email from Michael Dell when starting AppDirect. “I thought it was fake or spam, but it came from a dell.com address, so I took the call the next morning, and it really was Michael Dell. We've stayed in touch; he's amazing.” Join the Movement Join the Movement Landbase is more than a product; it’s a movement aimed at reshaping the future of work. With over 59% of AI users showing increased job satisfaction, Daniel Saks invites everyone to join him on this journey where technology finally works to give humans more of what they want. “Together, we can create a world where technology enhances our lives and allows us to reclaim our days.” Landbase Landbase You can learn more about Daniel Saks and his personal mission by visiting his LinkedIn . For more information about Landbase and how it is helping professionals ‘reclaim their day,’ you can visit their website . LinkedIn LinkedIn website website

Daniel Saks Predicts Agentic AI Will Empower Individuals and Boost Productivity

Daniel Saks predviđa da će agentska AI osnažiti pojedince i povećati produktivnost

Daniel Saks prognostiziert, dass agentenbasierte KI den Einzelnen befähigt und die Produktivität steigert

Daniel Saks predice que la inteligencia artificial empoderará a las personas y aumentará la productividad

Daniel Saks ennustaa, että agentti AI vahvistaa yksilöitä ja lisää tuottavuutta

דניאל סאקס חוזה AI סוכן יעצים אנשים ותגביר את הפרודוקטיביות

Daniel Saks prevede che l'intelligenza artificiale agentica darà potere agli individui e aumenterà la produttività

ダニエル・サックスは、エージェント型AIが個人の能力を高め、生産性を向上させると予測している

Daniel Saks ຄາດຄະເນ Agentic AI ຈະຊ່ວຍໃຫ້ບຸກຄົນແລະເພີ່ມຜົນຜະລິດ

Danielis Saksas numato, kad „Agentinis AI“ įgalins asmenis ir padidins produktyvumą

Daniels Sakss prognozē, ka aģents AI sniegs cilvēkiem spēku un paaugstinās produktivitāti

Даниел Сакс предвидува дека генетската вештачка интелигенција ќе ги зајакне поединците и ќе ја зголеми продуктивноста

Daniel Saks Ahanura Agentic AI izaha imbaraga abantu no kuzamura umusaruro

Every time I share the latest PR insights, I end up hearing the same feedback over and over again: “Well, now it’s clear. All you need is money.” I don’t know how those keen minds came to such a twisted conclusion, but to me, it’s obvious that there’s always an option to start small. In this post, I’ll share some takeaways for how to gain media coverage and leverage your PR endeavors with no news peg and zero budget. Option 1: Media Coverage Through Op-Ed, Guest Posting, or Columns Media are very fond of experts who tackle industry issues through the lens of their experience and provide editors with fresh and insightful material that would catch a reader’s eye and drive traffic to their website. So, gaining media coverage through op-eds and guest posts is the easiest way to start. Why? Because through the personal expertise of your C-level representative, you will manage to tackle industry issues that somehow relate to your product. How? Here’s a step-by-step guide: Step 1: Decide on a spokesperson and map the topics for them. In one circle, the list of the topics that would resonate with the industry that you are working in. In the second circle, note down the vectors in which your speaker has expertise. Then check where those circles overlap, and choose 3-4 major areas to cover. Those ideas should both demonstrate your speaker’s valuable experience and tackle the industry issues for which you already have a solution at hand. Generate a bunch of topics, headlines, and detailed outlines for each. Step 2: Create your media list with relevant contacts. Check which media are covering this or that topic, make a list of such media, find opinions editor’s email, and send them a proposal for approval(consisting of the headline and a detailed outline). Some media like Daily Hodl or HackerNoon have a submission form, but in this case, you have to submit the whole article for review, not just the outline. I would also recommend doing small research to see whether this particular angle hasn’t been covered yet. Step 3: Wait for a response. Great things take time. Don’t share the same content with all the outlets simultaneously. You may end up gaining coverage across multiple outlets and thereby ruin your relations with journalists. Instead, wait for approval from the editorial team (they indicate in the requirements how much time they usually need to review your submission). If there’s no answer within a specified timeframe, then share your idea with others. Pros of leveraging your media relations through guest posts and op-eds: Your brand name and maybe the link to the website will appear in the author’s bio. You will be able to insert some information about your product. If it’s relevant and doesn’t look like a promotion, you can use your product and company’s data to back your stance. You establish thought leadership and build a strong personal brand for your speaker. If you are a no-name startup with a no-name CEO, building a personal brand is crucial to make people trust you and in you. No wonder smaller companies are ready to pay a fortune to hunt C-level executives with sound names and spotless reputations.
Because by accepting a job offer, this person confirms their trust in the company, making it more credible in the eyes of the industry by default. Option 2: Media Coverage Through Commentaries Nobody accepts commentaries from people with no prior trace left in the media. So, you better start with the opinion part and gradually add commenting atop this. Crypto is a very wavering environment with a lot of stuff going on. Keep track of everything happening in the industry. Start your morning by checking Feedly and Google News to never miss a beat. There are several ways how you can ensure media coverage through expert commentaries: As soon as you have secured 5-6 pieces of coverage for your speaker, you can create a press portrait, indicating the speaker’s expertise, topics of interest, background information, and the links to op-eds you’ve already published in media. Once something happens in the industry that is relevant to your company and/or speaker, write a comment and pitch it to a journalist whose beat you know for sure will most likely imply working on this particular story. You can also check #journorequest on Twitter, Quoted, or HARO, as well as check the journalists’ personal Twitter account for similar shoutouts. If you have a ready-to-use press list and a well-established connection with journalists, you can send them a press portrait and introduce your speaker without waiting for the right time. In this case, a journalist may occasionally contact you once they need expert commentary. Option 3: Media Coverage Through Newswire I used to be quite skeptical about the Newswire until one day I shot it and checked the results: 406 pieces of coverage secured across top-tier media outlets, including Business Insider, Seeking Alpha, Benzinga, and others. I made it SEO-wise and inserted the links to the website along with a bunch of anchors and keywords that reinforced our SEO endeavours. Moreover, the journalist who spotted our press release reached out for additional information and wrote his own story based on what we had shared with him. Press release services like PR newswire or crypto-specific Chainwire offer a great deal of features to align your PR efforts with SEO requirements, thereby killing two birds with one shot. Don’t expect a newswire service to bring you a great deal of awareness right away, but rather think out of the box, and see how else can you benefit from distribution and what exactly can you share that would pay off in a long run. A small tip to keep in mind: Don’t rush to the newswire as soon as you have a news peg. Try to pitch it to journalists first; either as an exclusive or under embargo, and only then upload your press release into the newswire system to ensure maximum coverage. Final Words Each option I’ve mentioned above leaves a trace in the media, ensuring greater visibility for your company and products. Forbes isn’t going to cover your news unless you do have the news that is worth being covered on Forbes, and no PR wizard can fix it. Strive for the best you can, but don’t underestimate small achievements and the power of smaller steps that you are making on the way to your goal. Every time I share the latest PR insights, I end up hearing the same feedback over and over again: “Well, now it’s clear. All you need is money.” I don’t know how those keen minds came to such a twisted conclusion, but to me, it’s obvious that there’s always an option to start small. In this post, I’ll share some takeaways for how to gain media coverage and leverage your PR endeavors with no news peg and zero budget. Option 1: Media Coverage Through Op-Ed, Guest Posting, or Columns Media are very fond of experts who tackle industry issues through the lens of their experience and provide editors with fresh and insightful material that would catch a reader’s eye and drive traffic to their website. So, gaining media coverage through op-eds and guest posts is the easiest way to start. Why? Because through the personal expertise of your C-level representative, you will manage to tackle industry issues that somehow relate to your product. How? Here’s a step-by-step guide: How? Here’s a step-by-step guide: Step 1: Decide on a spokesperson and map the topics for them. Step 1: Decide on a spokesperson and map the topics for them. In one circle, the list of the topics that would resonate with the industry that you are working in. In the second circle, note down the vectors in which your speaker has expertise. Then check where those circles overlap, and choose 3-4 major areas to cover. Those ideas should both demonstrate your speaker’s valuable experience and tackle the industry issues for which you already have a solution at hand. Generate a bunch of topics, headlines, and detailed outlines for each. Step 2: Create your media list with relevant contacts. Step 2: Create your media list with relevant contacts. Check which media are covering this or that topic, make a list of such media, find opinions editor’s email, and send them a proposal for approval(consisting of the headline and a detailed outline). Some media like Daily Hodl or HackerNoon have a submission form, but in this case, you have to submit the whole article for review, not just the outline. I would also recommend doing small research to see whether this particular angle hasn’t been covered yet. Step 3: Wait for a response. Great things take time. Step 3: Wait for a response. Great things take time. Don’t share the same content with all the outlets simultaneously. You may end up gaining coverage across multiple outlets and thereby ruin your relations with journalists. Instead, wait for approval from the editorial team (they indicate in the requirements how much time they usually need to review your submission). If there’s no answer within a specified timeframe, then share your idea with others. Pros of leveraging your media relations through guest posts and op-eds: Pros of leveraging your media relations through guest posts and op-eds: Your brand name and maybe the link to the website will appear in the author’s bio. Your brand name and maybe the link to the website will appear in the author’s bio. You will be able to insert some information about your product. If it’s relevant and doesn’t look like a promotion, you can use your product and company’s data to back your stance. You will be able to insert some information about your product. If it’s relevant and doesn’t look like a promotion, you can use your product and company’s data to back your stance. You establish thought leadership and build a strong personal brand for your speaker. If you are a no-name startup with a no-name CEO, building a personal brand is crucial to make people trust you and in you. No wonder smaller companies are ready to pay a fortune to hunt C-level executives with sound names and spotless reputations.
Because by accepting a job offer, this person confirms their trust in the company, making it more credible in the eyes of the industry by default. You establish thought leadership and build a strong personal brand for your speaker. If you are a no-name startup with a no-name CEO, building a personal brand is crucial to make people trust you and in you. No wonder smaller companies are ready to pay a fortune to hunt C-level executives with sound names and spotless reputations. Because by accepting a job offer, this person confirms their trust in the company, making it more credible in the eyes of the industry by default. You establish thought leadership and build a strong personal brand for your speaker. If you are a no-name startup with a no-name CEO, building a personal brand is crucial to make people trust you and in you. No wonder smaller companies are ready to pay a fortune to hunt C-level executives with sound names and spotless reputations. Because by accepting a job offer, this person confirms their trust in the company, making it more credible in the eyes of the industry by default. Option 2: Media Coverage Through Commentaries Nobody accepts commentaries from people with no prior trace left in the media. So, you better start with the opinion part and gradually add commenting atop this. Crypto is a very wavering environment with a lot of stuff going on. Keep track of everything happening in the industry. Start your morning by checking Feedly and Google News to never miss a beat. There are several ways how you can ensure media coverage through expert commentaries: As soon as you have secured 5-6 pieces of coverage for your speaker, you can create a press portrait, indicating the speaker’s expertise, topics of interest, background information, and the links to op-eds you’ve already published in media. Once something happens in the industry that is relevant to your company and/or speaker, write a comment and pitch it to a journalist whose beat you know for sure will most likely imply working on this particular story. You can also check #journorequest on Twitter, Quoted, or HARO, as well as check the journalists’ personal Twitter account for similar shoutouts. If you have a ready-to-use press list and a well-established connection with journalists, you can send them a press portrait and introduce your speaker without waiting for the right time. In this case, a journalist may occasionally contact you once they need expert commentary. Option 3: Media Coverage Through Newswire I used to be quite skeptical about the Newswire until one day I shot it and checked the results: 406 pieces of coverage secured across top-tier media outlets, including Business Insider, Seeking Alpha, Benzinga, and others. I made it SEO-wise and inserted the links to the website along with a bunch of anchors and keywords that reinforced our SEO endeavours. Moreover, the journalist who spotted our press release reached out for additional information and wrote his own story based on what we had shared with him. 406 pieces of coverage Press release services like PR newswire or crypto-specific Chainwire offer a great deal of features to align your PR efforts with SEO requirements, thereby killing two birds with one shot. Don’t expect a newswire service to bring you a great deal of awareness right away, but rather think out of the box, and see how else can you benefit from distribution and what exactly can you share that would pay off in a long run. A small tip to keep in mind: Don’t rush to the newswire as soon as you have a news peg. Try to pitch it to journalists first; either as an exclusive or under embargo, and only then upload your press release into the newswire system to ensure maximum coverage. Final Words Each option I’ve mentioned above leaves a trace in the media, ensuring greater visibility for your company and products. Forbes isn’t going to cover your news unless you do have the news that is worth being covered on Forbes, and no PR wizard can fix it. Strive for the best you can, but don’t underestimate small achievements and the power of smaller steps that you are making on the way to your goal.

Media Coverage Options for a Startup With No News Pegs and Zero Budget 

The Isekai Archetypes of Computer Programming

Can AI truly reason, or is it just a fancy digital parrot? Recent experiments with popular AI models like ChatGPT, LLaMa, Gemini, and Grok have revealed some concerning truths about their problem-solving abilities – and their unexpected fondness for dessert. Late Addition: ChatGPT-o1 was revealed during this process and you can skip to that section for the latest. The Birthday Puzzle Challenge I set out to replicate and expand on experiments conducted by the Bank of International Settlements and journalist Tim Harford. The test? The infamous "Cheryl's Birthday" logic puzzle and a crafty variation. "Cheryl's Birthday" is a logic problem where Bernard and Albert must deduce Cheryl's birthday from a set of clues. It tests deductive reasoning and information processing. Here's what I found: The Original Puzzle: Most AIs solved it with ease. (Except you, Gemini. What happened there?)


Name-Swapped Version: Nearly all AIs stumbled when we renamed the actors and swapped months and numbers to random words. The Cake Conundrum Now, here's where it gets interesting (and a little concerning). The variation replaced Bernard with Edgar and May 19th with “brinks cake.” I added one tiny, irrelevant detail: "Edgar has a sweet tooth" The results? Suddenly, our AI friends developed a serious cake obsession: Reasonable(?) Carrot Cake ChatGPT-o1’s advanced methods are a breakthrough. Its chain of reasoning sees past the obfuscation far more than any competitor. The breakthrough still stumbles on its sweet tooth though. Interestingly, it can rule out “cake” but then picks “Carrot” because that was the sweetest remaining (and yet wrong) option: Why This Matters (A Lot) Reasoning vs. Regurgitating: These experiments cast doubt on whether AI is truly "reasoning" or just really good at pattern matching.


Easy to Manipulate: A single, irrelevant sentence dramatically shifts AI responses. Imagine the implications for more complex queries!


RAG and Sensitive Data: If AI struggles with simple logic puzzles, how can we trust it to parse through our confidential documents and extract meaningful insights?


Manufacturing "Truth": Systems that generate multiple AI responses and aggregate them for increased accuracy could be easily swayed by carefully placed suggestions. The Cake is a Lie (Portal Reference Intended) This isn't just about birthday puzzles and dessert preferences. It's a wake-up call for any organization considering AI for critical decision-making processes. We need: More rigorous testing


Greater transparency in AI reasoning processes


Robust safeguards against manipulation Until then, approach AI-generated insights with a healthy dose of skepticism. AI's promise is tantalizing, but we can't let it eat our cake and have it, too. Can AI truly reason, or is it just a fancy digital parrot ? Recent experiments with popular AI models like ChatGPT, LLaMa, Gemini, and Grok have revealed some concerning truths about their problem-solving abilities – and their unexpected fondness for desser t. digital parrot digital parrot t. Late Addition: ChatGPT-o1 was revealed during this process and you can skip to that section for the latest. Late Addition: ChatGPT-o1 was revealed during this process and you can skip to that section for the latest. The Birthday Puzzle Challenge The Birthday Puzzle Challenge I set out to replicate and expand on experiments conducted by the Bank of International Settlements and journalist Tim Harford . The test? The infamous "Cheryl's Birthday" logic puzzle and a crafty variation. Bank of International Settlements Bank of International Settlements Tim Harford Tim Harford "Cheryl's Birthday" "Cheryl's Birthday" "Cheryl's Birthday" is a logic problem where Bernard and Albert must deduce Cheryl's birthday from a set of clues. It tests deductive reasoning and information processing. Here's what I found: The Original Puzzle: Most AIs solved it with ease. (Except you, Gemini. What happened there?) Name-Swapped Version: Nearly all AIs stumbled when we renamed the actors and swapped months and numbers to random words. The Original Puzzle: Most AIs solved it with ease. (Except you, Gemini. What happened there?) The Original Puzzle : Most AIs solved it with ease. (Except you, Gemini. What happened there?) The Original Puzzle Name-Swapped Version: Nearly all AIs stumbled when we renamed the actors and swapped months and numbers to random words. Name-Swapped Version : Nearly all AIs stumbled when we renamed the actors and swapped months and numbers to random words. Name-Swapped Version The Cake Conundrum The Cake Conundrum Now, here's where it gets interesting (and a little concerning). The variation replaced Bernard with Edgar and May 19th with “brinks cake.” I added one tiny, irrelevant detail: "Edgar has a sweet tooth" "Edgar has a sweet tooth" The results? Suddenly, our AI friends developed a serious cake obsession: Reasonable(?) Carrot Cake Reasonable(?) Carrot Cake ChatGPT-o1’s advanced methods are a breakthrough. Its chain of reasoning sees past the obfuscation far more than any competitor. The breakthrough still stumbles on its sweet tooth though. Interestingly, it can rule out “cake” but then picks “Carrot” because that was the sweetest remaining (and yet wrong) option: Why This Matters (A Lot) Why This Matters (A Lot) Reasoning vs. Regurgitating: These experiments cast doubt on whether AI is truly "reasoning" or just really good at pattern matching. Easy to Manipulate: A single, irrelevant sentence dramatically shifts AI responses. Imagine the implications for more complex queries! RAG and Sensitive Data: If AI struggles with simple logic puzzles, how can we trust it to parse through our confidential documents and extract meaningful insights? Manufacturing "Truth": Systems that generate multiple AI responses and aggregate them for increased accuracy could be easily swayed by carefully placed suggestions. Reasoning vs. Regurgitating: These experiments cast doubt on whether AI is truly "reasoning" or just really good at pattern matching. Reasoning vs. Regurgitating : These experiments cast doubt on whether AI is truly "reasoning" or just really good at pattern matching. Reasoning vs. Regurgitating Easy to Manipulate: A single, irrelevant sentence dramatically shifts AI responses. Imagine the implications for more complex queries! Easy to Manipulate : A single, irrelevant sentence dramatically shifts AI responses. Imagine the implications for more complex queries! Easy to Manipulate RAG and Sensitive Data: If AI struggles with simple logic puzzles, how can we trust it to parse through our confidential documents and extract meaningful insights? RAG and Sensitive Data : If AI struggles with simple logic puzzles, how can we trust it to parse through our confidential documents and extract meaningful insights? RAG and Sensitive Data Manufacturing "Truth": Systems that generate multiple AI responses and aggregate them for increased accuracy could be easily swayed by carefully placed suggestions. Manufacturing "Truth" : Systems that generate multiple AI responses and aggregate them for increased accuracy could be easily swayed by carefully placed suggestions. Manufacturing "Truth" The Cake is a Lie (Portal Reference Intended) This isn't just about birthday puzzles and dessert preferences. It's a wake-up call for any organization considering AI for critical decision-making processes. We need: More rigorous testing Greater transparency in AI reasoning processes Robust safeguards against manipulation More rigorous testing More rigorous testing Greater transparency in AI reasoning processes Greater transparency in AI reasoning processes Robust safeguards against manipulation Robust safeguards against manipulation Until then, approach AI-generated insights with a healthy dose of skepticism. AI's promise is tantalizing, but we can't let it eat our cake and have it, too.

AI Loves Cake More Than Truth

When the term ART comes into play, the first thing that comes to my mind is PICASSO! Is it just me or for everyone?? Jokes apart! Have you ever wondered how this world would have been without art? Without artists? Uhhh! I can’t even begin to think about it! Believe me or not, to me, everything around me is a fresh piece of art waiting to be enjoyed! Think of a world where every brushstroke leaves an indelible mark, a world where art is not just viewed through eyes but owned and relished. That is indeed the world of NFTs and NFT Art, a world where artists are pioneering new frontiers of creativity and collectors are embracing and celebrating new, revolutionary ways to appreciate and invest in any kind of art. So here are a few top NFT artists you should know about if you are someone who is really fond of art and is an art maniac just like me! #1 PAK I know! I know! You might be thinking why is PAKISTAN coming in here? PAK is a mysterious digital artist, who has consistently pushed the boundaries of NFT art. Their work, most often involves large-scale interactive installations and generative works that challenge traditional notions of art ownership and value. Just like Picasso! PAK’s project called the “Merge” which was sold for a record-breaking $93 million, remains one of the most significant milestones in the NFT Space even today. #2 Fewocious Many of us would have wanted to be a self-taught artist. Right? Ferocious, a young self-taught artist, has quickly gained recognition for his vibrant and often provocative digital artworks. His pieces often explore various themes such as identity, mental health, and societal issues. His work has indeed garnered significant attention and has been sold for substantial sums, solidifying his position as a rising star in the world of NFTs. #3 Beeple Beeple, as many of you might have heard, is a digital artist known for his daily creations. He became a household name when his collage “Everydays: The First 5000 Days” sold for a staggering $69.3 million at Christie’s auction. Beeple’s work often combines elements of pop culture, social commentary, and surrealism (like Max Ernst), creating visually striking and thought-provoking pieces. #4 Sara Silks You might be wondering why silk shop names are coming in here! Hehe! It’s not that! Sara Silks, a digital artist known for her intricate and colorful pixel art, has indeed carved a niche in the NFT space. Her work often features fantastical creatures (exciting right?), vibrant landscapes, and nostalgic themes. Silk’s pieces are highly sought after by collectors who appreciate her unique style and attention to detail. #5 Mad Dog Jones As a Canadian digital artist, Mad Dog Jones is renowned for his psychedelic and often surreal animations. His work often explores themes such as technology, consciousness, and the nature of reality. Jones’s pieces are characterized by their vibrant colors, intricate and delicate patterns, and immersive experiences. Art Never Dies… The arena of NFT art is constantly evolving with more and more artists emerging. Of Course, the established ones continue to innovate. Trust me, the artists featured in this article are just a small fraction of the talented individuals shaping the future of digital art. As the NFT market continues to flourish, it would be indeed exciting to see the diverse and innovative work being created by various artists from around the world! Art is what you make it, and what you make it is what art is! So just like Pablo Picasso said: "Every child is an artist. The problem is how to remain an artist once we grow up." Live. Love. ART! When the term ART comes into play, the first thing that comes to my mind is PICASSO! Is it just me or for everyone?? Jokes apart! Have you ever wondered how this world would have been without art? Without artists? Uhhh! I can’t even begin to think about it! Believe me or not, to me, everything around me is a fresh piece of art waiting to be enjoyed! Think of a world where every brushstroke leaves an indelible mark, a world where art is not just viewed through eyes but owned and relished. That is indeed the world of NFTs and NFT Art, a world where artists are pioneering new frontiers of creativity and collectors are embracing and celebrating new, revolutionary ways to appreciate and invest in any kind of art. So here are a few top NFT artists you should know about if you are someone who is really fond of art and is an art maniac just like me! #1 PAK #1 PAK I know! I know! You might be thinking why is PAKISTAN coming in here? PAK is a mysterious digital artist, who has consistently pushed the boundaries of NFT art. Their work, most often involves large-scale interactive installations and generative works that challenge traditional notions of art ownership and value. Just like Picasso! PAK’s project called the “ Merge ” which was sold for a record-breaking $93 million, remains one of the most significant milestones in the NFT Space even today. Merge #2 Fewocious #2 Fewocious Many of us would have wanted to be a self-taught artist. Right? Ferocious, a young self-taught artist, has quickly gained recognition for his vibrant and often provocative digital artworks. His pieces often explore various themes such as identity, mental health, and societal issues. His work has indeed garnered significant attention and has been sold for substantial sums, solidifying his position as a rising star in the world of NFTs. #3 Beeple #3 Beeple Beeple, as many of you might have heard, is a digital artist known for his daily creations. He became a household name when his collage “ Everydays: The First 5000 Days ” sold for a staggering $69.3 million at Christie’s auction. Beeple’s work often combines elements of pop culture, social commentary, and surrealism (like Max Ernst), creating visually striking and thought-provoking pieces. Everydays: The First 5000 Days #4 Sara Silks #4 Sara Silks You might be wondering why silk shop names are coming in here! Hehe! It’s not that! Sara Silks, a digital artist known for her intricate and colorful pixel art, has indeed carved a niche in the NFT space. Her work often features fantastical creatures (exciting right?), vibrant landscapes, and nostalgic themes. Silk’s pieces are highly sought after by collectors who appreciate her unique style and attention to detail. #5 Mad Dog Jones #5 Mad Dog Jones As a Canadian digital artist, Mad Dog Jones is renowned for his psychedelic and often surreal animations. His work often explores themes such as technology, consciousness, and the nature of reality. Jones’s pieces are characterized by their vibrant colors, intricate and delicate patterns, and immersive experiences. Art Never Dies… Art Never Dies… The arena of NFT art is constantly evolving with more and more artists emerging. Of Course, the established ones continue to innovate. Trust me, the artists featured in this article are just a small fraction of the talented individuals shaping the future of digital art. As the NFT market continues to flourish, it would be indeed exciting to see the diverse and innovative work being created by various artists from around the world! Art is what you make it, and what you make it is what art is! Art is what you make it, and what you make it is what art is! Art is what you make it, and what you make it is what art is! So just like Pablo Picasso said: "Every child is an artist. The problem is how to remain an artist once we grow up." So just like Pablo Picasso said: "Every child is an artist. The problem is how to remain an artist once we grow up." Live. Love. ART! Live. Love. ART!

Top NFT Artists You Should Know: A Global Showcase

Using Latest Technologies for Content Creation: Interview with Anna Volchik, Content Creator

Four Things I Did Differently When Writing a Frontend Framework

একটি ফ্রন্টেন্ড ফ্রেমওয়ার্ক লেখার সময় আমি আলাদাভাবে চারটি জিনিস করেছি

Vier Dinge, die ich beim Schreiben eines Frontend-Frameworks anders gemacht habe

Cuatro cosas que hice de manera diferente al escribir un framework frontend

Quatre choses que j'ai faites différemment lors de l'écriture d'un framework frontend

फ्रंटएंड फ्रेमवर्क लिखते समय मैंने चार चीजें अलग ढंग से कीं

フロントエンドフレームワークを書くときに私が行った4つのこと

프런트엔드 프레임워크를 작성할 때 내가 다르게 한 네 가지

Quatro coisas que fiz diferente ao escrever um framework de front-end

Четыре вещи, которые я сделал по-другому при написании фреймворка фронтенда

Bir Ön Uç Çerçevesi Yazarken Farklı Yaptığım Dört Şey

Bốn điều tôi đã làm khác biệt khi viết một khuôn khổ Frontend

编写前端框架时我做了四件不同的事情

One of the fondest memories of the 2022 crypto boom is the vibrant Discord crypto community. Not only was it the most popular social messaging platform of choice for crypto projects and ideas, but it was also a beehive of activity with millions of daily active users as well.  While the platform hosted legit crypto projects with sky-high valuations, it was also the haven for crypto scammers. But as the crypto winter began, the once flourishing app teeming with millions of crypto investors and enthusiasts began to lose its aura. Everything soon appeared to be coming to a halt as a growing number of servers lay dormant, choked with spam, and devoid of human interaction, signaling a potential downturn. Today, with the crypto market experiencing a rebound, the social media preference is now in favor of Telegram, boasting almost a billion users and serving vibrant crypto communities peopled by millions of meme-coin fans and crypto investors. Two relevant data points reflect this shift in power: one, Telegram’s growth, and two, trading activity. As of now, Telegram crypto communities boast massive followings. For example, the TapSwap Channel has over 20 million members, dwarfing comparable Discord servers. Additionally, a report by DL News (June 2024) revealed that prominent Telegram trading bots facilitated over $5 million in daily memecoin transactions, evidencing a surge in Telegram-driven memecoin trading. Fostering The Memecoin Hype The ongoing memecoin craze has attracted a significant amount of attention within and outside of the crypto world, with dog-themed tokens and internet joke references reaching millions of dollars in valuations. How is Telegram’s crypto integration fueling this cycle? Toncoin’s recent integration with Telegram turned out to be a rewarding enterprise, helping it tap into its vast user base and encouraging blockchain projects to build on the network. The fact that Telegram now supports crypto payment also gives it an edge. Most especially, the success of Notcoin showcased Telegram not only as an encrypted messaging app but also as a far better coordination tool for passionate crypto communities or as a platform of choice for memecoin enthusiasts. In a recent comparative study of mass adoption strategies in web3, Notcoin “is recognized as the first breakout project within the Telegram ecosystem. Since the beginning of this year, NOTCOIN has rapidly gained traction due to its inherent meme appeal and easy Tap-to-Earn gameplay, attracting 5 million users within a week of launch, with peak daily active users exceeding 6 million.” Has Discord Finally Lost Its Position? It is safe to say that Discord is still widely known for hosting tons of crypto communities, but Telegram’s current dominance is putting the reputation of what was once hailed as the go-to platform for crypto communities to the test. The following are some of the reasons why the trend of events is currently in its competitor: Crackdown on Bots Discord maintains a stricter policy on bots, which were often used for automated memecoin trading and price tracking, stifling the fast-paced information sharing that is driving the memecoin hype. Centralized Control Discord's centralized nature makes it vulnerable to moderation. Servers deemed disruptive or violating community guidelines risk shutdowns, creating uncertainty for memecoin communities. Limited Reach Using Discord requires users to create accounts and navigate through servers, which can be a barrier to entry for some. Due to the fast-paced level of interaction in the memecoin world, this complexity can limit the potential reach of memecoin projects, making it hard to navigate. Telegram's Dominance Telegram, with a focus on crypto integration (i.e. it now supports payment in USDT and a host of other cryptocurrencies) and decentralization, offers a more fertile ground for memecoin communities to thrive. Bots: Telegram currently maintains a relaxed approach to bots, allowing seamless integration of tools for buying, selling, and tracking memecoins directly within the app and enriching the meme-coin experience for users. Telegram’s Support For Decentralization: In 2022, Telegram announced plans to launch a suite of decentralized cryptocurrency products, which would include a decentralized crypto exchange (DEX) and a non-custodial wallet. Its decentralized structure offers a sense of freedom. The lack of strict moderation allows for more unfiltered discussions and potentially wilder hype cycles, which can be a breeding ground for memecoin enthusiasm. Ease of Use Telegram requires only a phone number to participate, making it easier for anyone to join a memecoin group. This broadens the reach of memecoin projects and attracts new investors, even those with limited crypto experience. TEA Meme Coin Exemplifies Telegram’s Dominance TEA Meme Coin, a beverage-themed memecoin recently launched on the Solana network, raised over 3 million dollars (38,888 SOL) thanks to its huge community on the Telegram platform. Boasting over 3 million users on Telegram, it is indubitably one of the largest memecoin communities on the social messaging app and the success of its presale and token distribution can also be attributed to its ability to its choice of  Telegram as a viable tool for community building. Leveraging Telegram’s features and easy integration, TEA seeks to unite users around a passion for the drink, strengthened by sustainability initiatives. This will also be an important foundation for its upcoming new features: a clicker tap-to-earn game, a partnership with RWA's tokenization project, and listings on centralized crypto exchanges. With over 3 million users already on its Telegram channel, the choice of Telegram is designed to enable the easy onboarding of millions of TEA lovers across the world into web3, uniting them around their love for these products. Leveraging Telegram’s extensive network is also part of its strategic growth strategy after a significant crypto market correction in which the meme industry experienced a noticeable slowdown in Q2 2024, especially as memecoin s primarily dedicated to beverages have garnered significant attention in Web3. Conclusion While this article compares Telegram's approach to crypto integration with Discord and explores their relative strengths and weaknesses, it is important to note that the latter hasn't been entirely outpaced. As of today, there are some communities maintaining active servers, and Discord's voice chat functionality is still very much preferred. However, Telegram's current features and looser regulations have positioned it as the dominant platform for the memecoin phenomenon and a potential catalyst for mass adoption. Its current dominance in fostering the memecoin frenzy, with its ease of use, bot integration, and open environment, aligns with the marketing strategy of many memecoin communities. One of the fondest memories of the 2022 crypto boom is the vibrant Discord crypto community. Not only was it the most popular social messaging platform of choice for crypto projects and ideas, but it was also a beehive of activity with millions of daily active users as well.  While the platform hosted legit crypto projects with sky-high valuations, it was also the haven for crypto scammers. But as the crypto winter began, the once flourishing app teeming with millions of crypto investors and enthusiasts began to lose its aura. Everything soon appeared to be coming to a halt as a growing number of servers lay dormant, choked with spam, and devoid of human interaction, signaling a potential downturn. Today, with the crypto market experiencing a rebound, the social media preference is now in favor of Telegram, boasting almost a billion users and serving vibrant crypto communities peopled by millions of meme-coin fans and crypto investors. Two relevant data points reflect this shift in power: one, Telegram’s growth, and two, trading activity. As of now, Telegram crypto communities boast massive followings. For example, the TapSwap Channel has over 20 million members, dwarfing comparable Discord servers. Additionally, a report by DL News (June 2024) revealed that prominent Telegram trading bots facilitated over $5 million in daily memecoin transactions, evidencing a surge in Telegram-driven memecoin trading. report DL News DL News Fostering The Memecoin Hype The ongoing memecoin craze has attracted a significant amount of attention within and outside of the crypto world, with dog-themed tokens and internet joke references reaching millions of dollars in valuations. How is Telegram’s crypto integration fueling this cycle? Toncoin’s recent integration with Telegram turned out to be a rewarding enterprise, helping it tap into its vast user base and encouraging blockchain projects to build on the network. The fact that Telegram now supports crypto payment also gives it an edge. Most especially, the success of Notcoin showcased Telegram not only as an encrypted messaging app but also as a far better coordination tool for passionate crypto communities or as a platform of choice for memecoin enthusiasts. In a recent comparative study of mass adoption strategies in web3, Notcoin “is recognized as the first breakout project within the Telegram ecosystem. Since the beginning of this year, NOTCOIN has rapidly gained traction due to its inherent meme appeal and easy Tap-to-Earn gameplay, attracting 5 million users within a week of launch, with peak daily active users exceeding 6 million.” comparative study comparative study Has Discord Finally Lost Its Position? It is safe to say that Discord is still widely known for hosting tons of crypto communities, but Telegram’s current dominance is putting the reputation of what was once hailed as the go-to platform for crypto communities to the test. The following are some of the reasons why the trend of events is currently in its competitor: Crackdown on Bots Discord maintains a stricter policy on bots, which were often used for automated memecoin trading and price tracking, stifling the fast-paced information sharing that is driving the memecoin hype. Centralized Control Discord's centralized nature makes it vulnerable to moderation. Servers deemed disruptive or violating community guidelines risk shutdowns, creating uncertainty for memecoin communities. Limited Reach Using Discord requires users to create accounts and navigate through servers, which can be a barrier to entry for some. Due to the fast-paced level of interaction in the memecoin world, this complexity can limit the potential reach of memecoin projects, making it hard to navigate. Telegram's Dominance Telegram, with a focus on crypto integration (i.e. it now supports payment in USDT and a host of other cryptocurrencies) and decentralization, offers a more fertile ground for memecoin communities to thrive. Bots: Telegram currently maintains a relaxed approach to bots, allowing seamless integration of tools for buying, selling, and tracking memecoins directly within the app and enriching the meme-coin experience for users. Telegram’s Support For Decentralization: In 2022, Telegram announced plans to launch a suite of decentralized cryptocurrency products, which would include a decentralized crypto exchange (DEX) and a non-custodial wallet. Its decentralized structure offers a sense of freedom. The lack of strict moderation allows for more unfiltered discussions and potentially wilder hype cycles, which can be a breeding ground for memecoin enthusiasm. Telegram Ease of Use Telegram requires only a phone number to participate, making it easier for anyone to join a memecoin group. This broadens the reach of memecoin projects and attracts new investors, even those with limited crypto experience. TEA Meme Coin Exemplifies Telegram’s Dominance TEA Meme Coin, a beverage-themed memecoin recently launched on the Solana network, raised over 3 million dollars (38,888 SOL) thanks to its huge community on the Telegram platform. Boasting over 3 million users on Telegram, it is indubitably one of the largest memecoin communities on the social messaging app and the success of its presale and token distribution can also be attributed to its ability to its choice of  Telegram as a viable tool for community building. Leveraging Telegram’s features and easy integration, TEA seeks to unite users around a passion for the drink, strengthened by sustainability initiatives. This will also be an important foundation for its upcoming new features: a clicker tap-to-earn game, a partnership with RWA's tokenization project, and listings on centralized crypto exchanges. With over 3 million users already on its Telegram channel, the choice of Telegram is designed to enable the easy onboarding of millions of TEA lovers across the world into web3, uniting them around their love for these products. Leveraging Telegram’s extensive network is also part of its strategic growth strategy after a significant crypto market correction in which the meme industry experienced a noticeable slowdown in Q2 2024, especially as memecoin s primarily dedicated to beverages have garnered significant attention in Web3. Conclusion Conclusion While this article compares Telegram's approach to crypto integration with Discord and explores their relative strengths and weaknesses, it is important to note that the latter hasn't been entirely outpaced. As of today, there are some communities maintaining active servers, and Discord's voice chat functionality is still very much preferred. However, Telegram's current features and looser regulations have positioned it as the dominant platform for the memecoin phenomenon and a potential catalyst for mass adoption. Its current dominance in fostering the memecoin frenzy, with its ease of use, bot integration, and open environment, aligns with the marketing strategy of many memecoin communities.

How Telegram Became The Mecca For Memecoins

Why 96% of Agile Transformations Fail - Here's Why You Shouldn't Bother

Authors:
(1) Vahid Majdinasab, Department of Computer and Software Engineering Polytechnique Montreal, Canada;
(2) Michael Joshua Bishop, School of Mathematical and Computational Sciences Massey University, New Zealand;
(3) Shawn Rasheed, Information & Communication Technology Group UCOL - Te Pukenga, New Zealand;
(4) Arghavan Moradidakhel, Department of Computer and Software Engineering Polytechnique Montreal, Canada;
(5) Amjed Tahir, School of Mathematical and Computational Sciences Massey University, New Zealand;
(6) Foutse Khomh, Department of Computer and Software Engineering Polytechnique Montreal, Canada. Table of Links Abstract and Introduction Original Study Replication Scope and Methodology Results Discussion Related Work Conclusion, Acknowledgments, and References VII. CONCLUSION This study aimed to replicate the work of Pearce et al. [14], which uncovered several security weaknesses in code suggestions generated by GitHub Copilot. The replication study focused on Python-generated code and used the same baseline of weaknesses (MITRE top CWEs) to create the code generation prompts (covering a variety of weaknesses and scenarios). Following the study of [14], GitHub announced an upgrade to Copilot aimed at filtering out solutions that include top CWEs. Despite the current improvements from Copilot, our results demonstrate that Copilot continues to propose vulnerable suggestions for various scenarios. Particularly, within four of the CWEs tested (CWE-78 (OS Command Injection), CWE-434 (Unrestricted File Upload), CWE-306 (Missing Authentication for Critical Function), and CWE-502 (Deserialization of Untrusted Data)), Copilot’s suggestions still exhibit vulnerabilities. Our results highlight the importance for developers to continuously check the security of the code generated by such models through the implementation of rigorous security code reviews and with the use of a security analysis tool. This has been the recommendation provided by Copilot explicitly: “You are responsible for ensuring the security and quality of your code. We recommend you take the same precautions when using code generated by GitHub Copilot that you would when using any code you didn’t write yourself.” [29]. The issues associated with the security of generated code, especially from LLMs, will continue to impact the quality of code generation tools and thus might reduce the trust of developers using such tools. It is important to continue investigating such issues as both the underlying code generation models and the nature of weaknesses evolve fast. While there is some work done on Copilot’s security, little is done in terms of other code-generation tools (especially those that utilize similar LLMs). We expect those tools to face similar security challenges, which will require further investigation. VIII. ACKNOWLEDGEMENTS This work is partially supported by Massey University SREF funding, the Fonds de Recherche du Quebec (FRQ), the Canadian Institute for Advanced Research (CIFAR), and the National Science and Engineering Research Council of Canada (NSERC). REFERENCES [1] M. Chen, J. Tworek, H. Jun, Q. Yuan, H. P. d. O. Pinto, J. Kaplan, H. Edwards, Y. Burda, N. Joseph, G. Brockman, et al., “Evaluating large language models trained on code,” arXiv preprint arXiv:2107.03374, 2021. [2] T. Dohmke, “The economic impact of the AI-powered developer lifecycle and lessons from GitHub Copilot - The GitHub Blog.” https://gith ub.blog/2023-06-27-the-economic-impact-of-the-ai-powered-developer -lifecycle-and-lessons-from-github-copilot/?ref=blog.gitguardian.com, June 2023. (Accessed on 10/10/2023). [3] S. Lertbanjongngam, B. Chinthanet, T. Ishio, R. G. Kula, P. Leelaprute, B. Manaskasemsak, A. Rungsawang, and K. Matsumoto, “An Empirical Evaluation of Competitive Programming AI: A Case Study of AlphaCode,” in Proceedings of the 16th IEEE International Workshop on Software Clones (IWSC), pp. 10–15, IEEE, 2022. [4] D. Wong, A. Kothig, and P. Lam, “Exploring the Verifiability of Code Generated by GitHub Copilot,” arXiv preprint arXiv:2209.01766, 2022. [5] A. M. Dakhel, V. Majdinasab, A. Nikanjam, F. Khomh, M. C. Desmarais, and Z. M. J. Jiang, “Github copilot AI pair programmer: Asset or liability?,” Journal of Systems and Software, vol. 203, p. 111734, 2023. [6] R. Pudari and N. A. Ernst, “From Copilot to Pilot: Towards AI Supported Software Development,” arXiv preprint arXiv:2303.04142, 2023. [7] M. L. Siddiq and J. C. Santos, “SecurityEval dataset: mining vulnerability examples to evaluate machine learning-based code generation techniques,” in Proceedings of the 1st International Workshop on Mining Software Repositories Applications for Privacy and Security (MSR4P&S), pp. 29–33, ACM, 2022. [8] J. He and M. Vechev, “Controlling large language models to generate secure and vulnerable code,” arXiv preprint arXiv:2302.05319, 2023. [9] B. Yetis¸tiren, I. Ozsoy, M. Ayerdem, and E. T ¨ uz¨ un, “Evaluating the Code ¨ Quality of AI-Assisted Code Generation Tools: An Empirical Study on GitHub Copilot, Amazon CodeWhisperer, and ChatGPT,” arXiv preprint arXiv:2304.10778, 2023. [10] O. Asare, M. Nagappan, and N. Asokan, “Is GitHub’s Copilot as bad as humans at introducing vulnerabilities in code?,” Empirical Software Engineering, vol. 28, no. 6, pp. 1–24, 2023. [11] M. Verdi, A. Sami, J. Akhondali, F. Khomh, G. Uddin, and A. K. Motlagh, “An Empirical Study of C++ Vulnerabilities in Crowd-sourced Code Examples,” IEEE Transactions on Software Engineering, vol. 48, no. 5, pp. 1497–1514, 2020. [12] T. Brown, B. Mann, N. Ryder, M. Subbiah, J. D. Kaplan, P. Dhariwal, A. Neelakantan, P. Shyam, G. Sastry, A. Askell, et al., “Language models are few-shot learners,” Advances in neural information processing systems, vol. 33, pp. 1877–1901, 2020. [13] M. O. F. Rokon, R. Islam, A. Darki, E. E. Papalexakis, and M. Faloutsos, “SourceFinder: Finding malware Source-Code from publicly available repositories in GitHub,” in 23rd International Symposium on Research in Attacks, Intrusions and Defenses (RAID 2020), pp. 149–163, 2020. [14] H. Pearce, B. Ahmad, B. Tan, B. Dolan-Gavitt, and R. Karri, “Asleep at the Keyboard? Assessing the Security of GitHub Copilot’s Code Contributions,” in 2022 IEEE Symposium on Security and Privacy (SP), pp. 754–768, 2022. [15] Y. Fu, P. Liang, A. Tahir, Z. Li, M. Shahin, and J. Yu, “Security Weaknesses of Copilot Generated Code in GitHub,” arXiv preprint arXiv:2310.02059, 2023. [16] Y. Huang, Y. Li, W. Wu, J. Zhang, and M. R. Lyu, “Do Not Give Away My Secrets: Uncovering the Privacy Issue of Neural Code Completion Tools,” arXiv preprint arXiv:2309.07639, 2023. [17] GitGuardian, “The State of Secrets Sprawl Report 2023.” https://www. gitguardian.com/files/the-state-of-secrets-sprawl-report-2023?ref=blog .gitguardian.com, 2023. [18] The MITRE Corporation (MITRE), “CWE List Version 4.12.” https: //cwe.mitre.org/data/index.html, 2023. [19] S. Zhao, “GitHub Copilot now has a better AI model and new capabilities - The GitHub Blog.” https://github.blog/2023-02-14-github-cop ilot-now-has-a-better-ai-model-and-new-capabilities/. (Accessed on 12/11/2023). [20] R. Khoury, A. R. Avila, J. Brunelle, and B. M. Camara, “How Secure is Code Generated by ChatGPT?,” arXiv preprint arXiv:2304.09655, 2023. [21] H. Hajipour, T. Holz, L. Schonherr, and M. Fritz, “Systematically Find- ¨ ing Security Vulnerabilities in Black-Box Code Generation Models,” arXiv preprint arXiv:2302.04012, 2023. [22] O. Asare, M. Nagappan, and N. Asokan, “Is GitHub’s Copilot as bad as humans at introducing vulnerabilities in code?,” arXiv preprint arXiv:2204.04741, 2022. [23] J. Shi, Y. Liu, P. Zhou, and L. Sun, “BadGPT: Exploring Security Vulnerabilities of ChatGPT via Backdoor Attacks to InstructGPT,” arXiv preprint arXiv:2304.12298, 2023. [24] E. Derner and K. Batistic, “Beyond the Safeguards: Exploring the ˇ Security Risks of ChatGPT,” arXiv preprint arXiv:2305.08005, 2023. [25] K. R. Go, S. Soundarapandian, A. Mitra, M. Vidoni, and N. E. D. Ferreyra, “Simple stupid insecure practices and GitHub’s code search: A looming threat?,” Journal of Systems and Software, vol. 202, p. 111698, 2023. [26] N. Perry, M. Srivastava, D. Kumar, and D. Boneh, “Do users write more insecure code with AI assistants?,” arXiv preprint arXiv:2211.03622, 2022. [27] X. Huang, W. Ruan, W. Huang, G. Jin, Y. Dong, C. Wu, S. Bensalem, R. Mu, Y. Qi, X. Zhao, et al., “A Survey of Safety and Trustworthiness of Large Language Models through the Lens of Verification and Validation,” arXiv preprint arXiv:2305.11391, 2023. [28] N. Nguyen and S. Nadi, “An Empirical Evaluation of GitHub Copilot’s Code Suggestions,” in Proceedings of the 19th International Conference on Mining Software Repositories, pp. 1–5, 2022. [29] GitHub, “GitHub Copilot for Individuals.” https://docs.github.com/en/c opilot/overview-of-github-copilot/about-github-copilot-for-individuals, 2023. (Accessed on 02/11/2023). This paper is available on arxiv under CC 4.0 license. Authors: (1) Vahid Majdinasab, Department of Computer and Software Engineering Polytechnique Montreal, Canada; (2) Michael Joshua Bishop, School of Mathematical and Computational Sciences Massey University, New Zealand; (3) Shawn Rasheed, Information & Communication Technology Group UCOL - Te Pukenga, New Zealand; (4) Arghavan Moradidakhel, Department of Computer and Software Engineering Polytechnique Montreal, Canada; (5) Amjed Tahir, School of Mathematical and Computational Sciences Massey University, New Zealand; (6) Foutse Khomh, Department of Computer and Software Engineering Polytechnique Montreal, Canada. Authors: Authors: (1) Vahid Majdinasab, Department of Computer and Software Engineering Polytechnique Montreal, Canada; (2) Michael Joshua Bishop, School of Mathematical and Computational Sciences Massey University, New Zealand; (3) Shawn Rasheed, Information & Communication Technology Group UCOL - Te Pukenga, New Zealand; (4) Arghavan Moradidakhel, Department of Computer and Software Engineering Polytechnique Montreal, Canada; (5) Amjed Tahir, School of Mathematical and Computational Sciences Massey University, New Zealand; (6) Foutse Khomh, Department of Computer and Software Engineering Polytechnique Montreal, Canada. Table of Links Abstract and Introduction Abstract and Introduction Original Study Original Study Replication Scope and Methodology Replication Scope and Methodology Results Results Discussion Discussion Related Work Related Work Conclusion, Acknowledgments, and References Conclusion, Acknowledgments, and References VII. CONCLUSION This study aimed to replicate the work of Pearce et al. [14], which uncovered several security weaknesses in code suggestions generated by GitHub Copilot. The replication study focused on Python-generated code and used the same baseline of weaknesses (MITRE top CWEs) to create the code generation prompts (covering a variety of weaknesses and scenarios). Following the study of [14], GitHub announced an upgrade to Copilot aimed at filtering out solutions that include top CWEs. Despite the current improvements from Copilot, our results demonstrate that Copilot continues to propose vulnerable suggestions for various scenarios. Particularly, within four of the CWEs tested (CWE-78 (OS Command Injection), CWE-434 (Unrestricted File Upload), CWE-306 (Missing Authentication for Critical Function), and CWE-502 (Deserialization of Untrusted Data)), Copilot’s suggestions still exhibit vulnerabilities. Our results highlight the importance for developers to continuously check the security of the code generated by such models through the implementation of rigorous security code reviews and with the use of a security analysis tool. This has been the recommendation provided by Copilot explicitly: “You are responsible for ensuring the security and quality of your code. We recommend you take the same precautions when using code generated by GitHub Copilot that you would when using any code you didn’t write yourself.” [29]. “You are responsible for ensuring the security and quality of your code. We recommend you take the same precautions when using code generated by GitHub Copilot that you would when using any code you didn’t write yourself.” [29]. The issues associated with the security of generated code, especially from LLMs, will continue to impact the quality of code generation tools and thus might reduce the trust of developers using such tools. It is important to continue investigating such issues as both the underlying code generation models and the nature of weaknesses evolve fast. While there is some work done on Copilot’s security, little is done in terms of other code-generation tools (especially those that utilize similar LLMs). We expect those tools to face similar security challenges, which will require further investigation. VIII. ACKNOWLEDGEMENTS This work is partially supported by Massey University SREF funding, the Fonds de Recherche du Quebec (FRQ), the Canadian Institute for Advanced Research (CIFAR), and the National Science and Engineering Research Council of Canada (NSERC). REFERENCES [1] M. Chen, J. Tworek, H. Jun, Q. Yuan, H. P. d. O. Pinto, J. Kaplan, H. Edwards, Y. Burda, N. Joseph, G. Brockman, et al., “Evaluating large language models trained on code,” arXiv preprint arXiv:2107.03374, 2021. [2] T. 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