Sunday, October 27, 2024
Friday, October 11, 2024
Thursday, October 10, 2024
Tuesday, October 08, 2024
8: AI
Tesla Robotaxi unveiling: expectations are low, could Tesla overdeliver?
Israel Panicking After Iran Nuclear Bomb Test Reports, Cancels This Attack Plan On Tehran…
Israel’s strikes are shifting the power balance in the Middle East, with US support
Pioneers in artificial intelligence win the Nobel Prize in physics Hopfield, whose 1982 work laid the groundwork for Hinton’s, told The Associated Press, “I continue to be amazed by the impact it has had.” ....... Hinton predicted that AI will end up having a “huge influence” on civilization, bringing improvements in productivity and health care. ......... “Instead of exceeding people in physical strength, it’s going to exceed people in intellectual ability. We have no experience of what it’s like to have things smarter than us. And it’s going to be wonderful in many respects,” Hinton said. ......... “I’ve never seen that many emails in my life,” he said. ......... “I’m flabbergasted. I had no idea this would happen,” he said when reached by the Nobel committee on the phone. He said he was at a cheap hotel with no internet.......... Hinton, 76, helped develop a technique in the 1980s known as backpropagation instrumental in training machines how to “learn” by fine-tuning errors until they disappear. It’s similar to the way a student learns, with an initial solution graded and flaws identified and returned to be fixed and repaired. This process continues until the answer matches the network’s version of reality. ......... “For a long time, people thought what the three of us were doing was nonsense,” Hinton told told the AP in 2019. “They thought we were very misguided and what we were doing was a very surprising thing for apparently intelligent people to waste their time on.” ............ “My message to young researchers is, don’t be put off if everyone tells you what are doing is silly.” ........... While there’s no Nobel for computer science, Li said that awarding a traditional science prize to AI pioneers is significant and shows how boundaries between disciplines have blurred.
Wednesday, July 17, 2024
Thursday, July 11, 2024
AI and Digital Marketing: Transforming the Landscape
In today's fast-paced digital world, staying ahead of the curve is crucial for businesses aiming to capture the attention of their target audience. One of the most significant advancements driving this change is the integration of Artificial Intelligence (AI) in digital marketing. AI has revolutionized the way businesses approach marketing, offering innovative solutions to age-old challenges and creating new opportunities for growth and engagement. Let's dive into how AI is transforming the digital marketing landscape and what this means for businesses and consumers alike.
Personalization at Scale
One of the most remarkable impacts of AI in digital marketing is its ability to deliver personalized experiences at scale. Traditional marketing efforts often struggled with segmentation and targeting, leading to generic campaigns that failed to resonate with individual consumers. AI changes this by analyzing vast amounts of data to understand consumer behavior, preferences, and trends. With AI-driven algorithms, businesses can create highly personalized content, product recommendations, and marketing messages tailored to each individual, enhancing engagement and conversion rates.
Enhanced Customer Insights
AI-powered tools provide marketers with deep insights into customer behavior and preferences. Through data analysis and machine learning, AI can identify patterns and trends that human analysts might miss. These insights enable marketers to make informed decisions, optimize campaigns in real-time, and predict future trends. By understanding what works and what doesn't, businesses can refine their strategies to better meet the needs of their audience.
Automation and Efficiency
Automation is another area where AI shines in digital marketing. Routine tasks such as email marketing, social media posting, and even ad placement can be automated using AI-driven tools. This not only saves time and resources but also ensures consistency and precision. Marketers can focus on strategy and creativity, while AI handles the repetitive tasks, leading to more efficient and effective campaigns.
Improved Customer Service
AI-powered chatbots and virtual assistants have transformed customer service in digital marketing. These intelligent systems can handle a wide range of customer queries, provide instant responses, and assist in the purchasing process. By offering 24/7 support, AI-driven customer service tools enhance the customer experience, reduce response times, and free up human agents to handle more complex issues.
Predictive Analytics
Predictive analytics is a game-changer for digital marketers. AI algorithms can analyze historical data and identify patterns to predict future outcomes. This allows marketers to anticipate customer needs, optimize inventory, and forecast sales trends. By leveraging predictive analytics, businesses can make proactive decisions, reduce risks, and seize opportunities before their competitors.
Content Creation and Curation
Content is king in digital marketing, and AI is revolutionizing the way content is created and curated. AI-powered tools can generate high-quality content, such as blog posts, social media updates, and product descriptions, based on predefined criteria and data analysis. Additionally, AI can curate content by identifying relevant articles, videos, and resources that resonate with the target audience, ensuring that the content shared is always relevant and engaging.
Enhanced Advertising
AI is transforming digital advertising by optimizing ad placements, targeting, and creatives. Programmatic advertising, driven by AI algorithms, ensures that ads are shown to the right audience at the right time, maximizing ROI. AI can also analyze ad performance in real-time and make adjustments to improve effectiveness. This level of precision and optimization was unimaginable in traditional advertising methods.
Ethical Considerations and Challenges
While AI offers numerous benefits to digital marketing, it also raises ethical considerations and challenges. Privacy concerns, data security, and algorithmic biases are some of the issues that marketers need to address. It is essential for businesses to adopt transparent practices, comply with regulations, and ensure that AI-driven marketing efforts are ethical and inclusive.
Conclusion
AI is undeniably transforming the digital marketing landscape, offering unprecedented opportunities for personalization, efficiency, and innovation. As technology continues to evolve, businesses that embrace AI will be better positioned to connect with their audience, drive engagement, and achieve their marketing goals. However, it is crucial to navigate the ethical challenges and ensure that AI is used responsibly to create a positive impact on both businesses and consumers. The future of digital marketing is bright, and AI is leading the way.
Wednesday, July 10, 2024
10: AI
@paramendrakumarbhagat Digital Marketing Helps You Scale Your Business
♬ original sound - Paramendra Kumar Bhagat
Digital Marketing Helps You Scale Your Business pic.twitter.com/uSTdLmYWYD
— Paramendra Kumar Bhagat (@paramendra) July 9, 2024
Friday, June 28, 2024
AI
'Babbling' and 'hoarse': Biden's debate performance sends Democrats into a panic The president often had a weak, raspy voice during his first debate against Trump, in what Democrats had hoped would be a turning point in the race......... “Biden sounds hoarse, looks tired and is babbling. He is reaffirming everything voters already perceived. President Biden can’t win. This debate is a nail in the political coffin."
Wednesday, June 26, 2024
How Is AI Impacting The Practice Of Digital Marketing?
AI is significantly transforming digital marketing in several key ways:
- Personalization and Customer Experience
- Personalized Content: AI can analyze vast amounts of data to understand customer preferences and behaviors, enabling the creation of highly personalized content.
- Dynamic Pricing: AI algorithms adjust prices based on demand, customer behavior, and competitive pricing, optimizing sales and profitability.
- Automation
- Automated Campaigns: AI tools can automate various marketing tasks such as email marketing, social media posting, and ad management, saving time and improving efficiency.
- Chatbots and Customer Service: AI-powered chatbots provide instant customer support, handle inquiries, and guide customers through their purchasing journey.
- Data Analysis and Insights
- Predictive Analytics: AI analyzes historical data to predict future trends, customer behaviors, and campaign outcomes, allowing marketers to make data-driven decisions.
- Customer Segmentation: AI segments customers into various groups based on behaviors and preferences, enabling targeted marketing strategies.
- Content Creation and Curation
- AI-Generated Content: Tools like GPT-3 can create blog posts, social media updates, and other content, enhancing content marketing efforts.
- Content Curation: AI helps in finding and sharing relevant content with audiences, ensuring a consistent flow of valuable information.
- Search Engine Optimization (SEO)
- Voice Search Optimization: With the rise of voice search, AI helps optimize content to cater to voice search queries.
- Algorithm Updates: AI assists in keeping up with search engine algorithm changes, ensuring websites maintain their search rankings.
- Advertising
- Programmatic Advertising: AI automates the buying and placement of ads, targeting the right audience at the right time with precision.
- Ad Performance Optimization: AI analyzes ad performance in real-time and makes adjustments to maximize ROI.
- Customer Relationship Management (CRM)
- Enhanced CRM Systems: AI integrates with CRM systems to provide deeper insights into customer interactions and predict future behaviors.
- Lead Scoring: AI assesses and scores leads based on their likelihood to convert, helping sales teams prioritize their efforts.
- Predictive and Prescriptive Analytics
- Forecasting Trends: AI predicts market trends, helping businesses stay ahead of the curve.
- Recommendation Engines: AI recommends products or content to users based on their past behavior, increasing engagement and sales.
- Data Privacy: Ensuring compliance with data protection regulations while leveraging AI.
- Ethical Concerns: Addressing biases in AI algorithms and maintaining transparency with customers.
- Integration: Seamlessly integrating AI tools with existing marketing systems and processes.
Wednesday, May 22, 2024
Sunday, July 23, 2023
23: Ethan Mollick
I had an https://t.co/YlWxt8eneu bank account once.
— Paramendra Kumar Bhagat (@paramendra) July 23, 2023
In A.I. Race, Microsoft and Google Choose Speed Over Caution Technology companies were once leery of what some artificial intelligence could do. Now the priority is winning control of the industry’s next big thing. ........... They wrote in several documents that the A.I. technology behind a planned chatbot could flood Facebook groups with disinformation, degrade critical thinking and erode the factual foundation of modern society. ............ Dr. El Mhamdi, a part-time employee and university professor, used mathematical theorems to warn that the biggest A.I. models are more vulnerable to cybersecurity attacks and present unusual privacy risks because they’ve probably had access to private data stored in various locations around the internet. .......... He resigned from Google this year, citing in part “research censorship.” He said modern A.I.’s risks “highly exceeded” the benefits. “It’s premature deployment,” he added. ......... concerns with chatbots: They could produce false information, hurt users who become emotionally attached to them and enable “tech-facilitated violence” through mass harassment online. .......... Satya Nadella, Microsoft’s chief executive, made a bet on generative A.I. in 2019 when Microsoft invested $1 billion in OpenAI. After deciding the technology was ready over the summer, Mr. Nadella pushed every Microsoft product team to adopt A.I. ........... Microsoft has released new products every week, a frantic pace to fulfill plans that Mr. Nadella set in motion in the summer when he previewed OpenAI’s newest model. He asked the chatbot to translate the Persian poet Rumi into Urdu, and then write it out in English characters. “It worked like a charm,” he said in a February interview. “Then I said, ‘God, this thing.’”
On holding back the strange AI tide There is no way to stop the disruption. We need to channel it instead ......... Most people didn’t ask for an AI that can do many tasks previously reserved for humans. But it arrived, almost completely unexpectedly, eight months ago with ChatGPT, and has been accelerating ever since............ the substantial benefits of AI are going to be greatly reduced by trying to pretend it is just like previous waves of technology. ........... Large Language Models are here, now. In their current form, they show tremendous ability to impact many areas of work and life. ........ the AIs we have today are going to bring a lot of change........ In conversations with educational institutions and companies, I have seen leaders try desperately to ensure that AI doesn’t change anything. .......... Many organizational leaders don’t yet understand AI, but those who do see an opportunity are eager to embrace it… as long as it doesn’t make anything too weird. .......... AI, as currently implemented, is not really built for centralization ......... GPT-4, the most advanced AI available, is free for everyone in 169 countries through Bing, or for a small charge from OpenAI ........... By trying to make AI like all other technologies, companies are ignoring how transformative it is. One person can do a tremendous amount of work (see how much marketing I could get done with a 30 minute time limit), but it is also different work: tedious tasks are outsourced, interesting tasks are multiplied. The nature of work with AI shifts in way that uncomfortable, risky, and potentially powerful. ............. Jussi Kemppainen of Dinosaurs Are Better, who is developing an entire adventure game, alone. To do that, he is using AI help for every aspect of game design, from character design to coding to dialog to graphics3. He is inventing his own workflows to make this happen, and is able to do that because he is not limited to corporate work systems. .......... There is no way for companies to harness this kind of power and creativity without, in some way, democratizing control over AI. Only innovation driven by workers can actually radically transform work, because only workers can experiment enough on their own tasks to learn how to use AI in transformative ways. And empowering workers is not going to be possible with a top-down solution alone. .......... Nobody really knows anything about the best ways to use AI, and they certainly don’t know the best ways to use it in your company. Only by diving in, responsibly, can you hope to figure out the best use cases..........
Almost every assignment, at every level, can be done, at least in part, by AI.
........ AI can do high-quality work. It can do math. It makes far fewer obvious mistakes. And it is capable of working with vast amounts of data. .......... I pasted in my entire last book into Claude 2 ....... Given this challenge, many teachers want to turn back the clock: blue book exams. Handwritten essays. Oral exams. .......... We are very close to the long-term dream of tutoring at scale, and many other advances promise to make the lives of teachers easier, while improving outcomes for students and parents. .......... we need to articulate a vision for what radically changed education could look like .......... we need to start with the presumption that we are facing genuine, and widespread, disruption across many fields ........... The scientists and engineers designing AI, as capable as they are, have no particular expertise on how AI can best be used, or even how and when it should be used. We get to make those decisions. But we have to recognize that the AI tide is rising, and that the time to decide what that means is now........... 8% Americans own crypto. 2% of Americans have bought an NFT. VR numbers are a bit sketchy, but maybe 20% of Americans have tried it. 19% of Americans in a survey had tried ChatGPT by April. .........Rookie leaders are stressful: Poll
How to Use AI to Do Stuff: An Opinionated Guide Covering the state of play as of Summer, 2023 ......... Claude 2, likely the second most capable AI system available to the public. The week before, Open AI released Code Interpreter, the most sophisticated mode of AI yet available. .......... When we talk about AI right now, we are usually talking about Large Language Models, or LLMs. Most AI applications are powered by LLMs, of which there are just a few Foundation Models, created by a handful of organizations. Each company gives direct access to their models via a Chatbot: OpenAI makes GPT-3.5 and GPT-4, which power ChatGPT and Microsoft’s Bing (access it on an Edge browser). Google has a variety of models under the label of Bard. And Anthropic makes Claude and Claude 2. .......... Code Interpreter as is an extremely powerful version of ChatGPT that can run Python programs. If you have never paid for OpenAI, you have only used 3.5. .......... Microsoft’s Bing uses a mix of 4 and 3.5, and is usually the first model in the GPT-4 family to roll out new features. For example, it can both create and view images, and it can read documents in the web browser. It is connected to the internet. Bing is a bit weird to use, but powerful. ........... Claude is most notable for having a very large context window - essentially the memory of the LLM. Claude can hold almost an entire book, or many PDFs, in memory. ............ For right now, GPT-4 is still the most capable AI tool for writing, which you can access at Bing (select“creative mode”) for free or by purchasing a $20/month subscription to ChatGPT. Claude, however, is a close second, and has a limited free option available. ......... Microsoft Office will include a copilot powered by GPT and Google Docs will integrate suggestions from Bard. The implications of what these new innovations mean for writing are pretty profound. ......... Use it like an intern to write emails, create sales templates, give you next steps in a business plan, and a lot more. .........
It can generate entirely false content that is utterly convincing.
.............. Particularly dangerous is asking it for references, quotes, citations, and information for the internet ......... Midjourney, which is the best system in mid-2023. It has the lowest learning-curve of any system: just type in "thing-you-want-to-see --v 5.2" (the --v 5.2 at the end is important, it uses the latest model) and you get a great result. Midjourney requires Discord. Here is a guide to using DiscordPower and Weirdness: How to Use Bing AI Bing AI is a huge leap over ChatGPT, but you have to learn its quirks ......... Overall, Bing is immensely more powerful than ChatGPT, but also a lot weirder to use.
Setting time on fire and the temptation of The Button We used to consider writing an indication of time and effort spent on a task. That isn't true anymore. ...... there are a million implications to outsourcing our first drafts to AI. ......... We may not learn how to write as well. We may be flooded with low-quality content. .......... Take, for example, the letter of recommendation. Professors are asked to write letters for students all the time, and a good letter takes a long time to write. ........ you may actually be hurting people by not writing a letter of recommendation by AI, especially if you are not a particularly strong writer. ......... With everyone pushing The Button for most emails, documents, and even (soon!) spreadsheets and presentations, what documents mean is going to change fundamentally, and that is going to spill over to our work. ........... People who use AI enjoy work more, and feel that they are better able to use their talents and abilities. ........ We start to create documents mostly with AI that get sent to AI-powered inboxes where the recipients respond mostly with AI. Even worse, we still create the reports by hand, but realize that no human is actually reading them. This kind of meaningless task, what organizational theorists have called mere ceremony, has always been with us. ............. Stripping away meaningless work removes a huge burden from workers, while reducing inefficiencies and broken processes. This is an amazing opportunity, but only if we are forward-thinking about the future of a world where most work starts by pressing The Button.
Saturday, July 22, 2023
22: Emad
Post by @paramendraView on Threads
I've been hiding behind my keyboard for 4 months.
— Alessio (@alematit) July 20, 2023
Afraid my accent was too strong.
Then I hosted my 1st Space:
• 10X inbound DMs
• 5X my confidence
• 2X case studies
Guess what?
What you call INSECURITY.
Your audience calls it PERSONALITY.
Build with your VOICE.
Automation
— MATT GRAY (@matt_gray_) July 20, 2023
Automations are the glue for all your systems.
With tools like:
• Zapier
• Airtable
• Calendly
• ChatGPT
There's likely an automation for every task.
Save time. Save hassle. Keep winning.
New habit I've picked up:
— Dickie Bush 🚢 (@dickiebush) July 20, 2023
Relistening to old podcast episodes (2 years or older).
I've been digging through the archives to find ones that had a huge impact
on me when I heard them for the first time.
The insights hit different at this point in the journey.
C02
— Linus (●á´—●) (@LinusEkenstam) July 19, 2023
Where does it come from? Where does it go?
NASA's satellite constellations & advanced computer models give us a first deep look at it 😱
🧵 Let's dive in pic.twitter.com/sFf7YRVc2V
Here we have a look at Asia. Here we see the build up of C02 in the atmosphere over a year (2021) pic.twitter.com/9rfg6CNpRy
— Linus (●á´—●) (@LinusEkenstam) July 19, 2023
We turn our heads towards Africa & Europe. Pretty wild to see the green dots (carbon captured by land) and blue dots, carbon captured by the oceans. pic.twitter.com/vULnpRgIZ2
— Linus (●á´—●) (@LinusEkenstam) July 19, 2023
Now let's take a holistic look at the entire planet. This is CO2 emission for all of 2021, cut down to 1min 37sec.
— Linus (●á´—●) (@LinusEkenstam) July 19, 2023
Green/Blue dots are carbon captured by land and sea (about 50% of human made emissions get gobbled up by the planet). pic.twitter.com/kzMWsyQhmU
Here we can see the same data in the different levels and how they build up over the year. pic.twitter.com/iIgxUYNppt
— Linus (●á´—●) (@LinusEkenstam) July 19, 2023
AI video has started to produce mindblowing results and could eventually disrupt Hollywood. (PT20)
— Nathan Lands (@NathanLands) July 20, 2023
Here are the best AI videos I've found:
Honored to be part of @POTUS's announcement today on a set of voluntary commitments on AI safety & security, which we and other AI labs have been working on with the White House.
— Greg Brockman (@gdb) July 21, 2023
Step towards coordination both today and for future very powerful systems: https://t.co/PZoTVaTZYy pic.twitter.com/hOCOx2myOx
Post by @paramendraView on Threads
Post by @paramendraView on Threads
Thursday, July 20, 2023
20: Emad Mostaque With Peter Diamandis
That's not true. There have been lots of companies that couldn't raise money at one point but ultimately succeeded.
— Paul Graham (@paulg) July 20, 2023
In effect you're saying "investors have good judgement," and any founder knows how laughably false that is.
This article was insightful in regards to job hunting and all. Its a long read, but if you have the time, read it: https://t.co/y9Ap55EPgm
— Obiagu (@iamCynthiaPeter) July 17, 2023
Instead of MVP, start with Minimum Viable Tests to increase chances of succeeding with your startup idea. https://t.co/5VVpJxoIFQ by @gaganbiyani
— Volodymyr Melnyk 🇺🇦 (@vamelnyk) July 15, 2023
How Instagram Co-founder Mike Krieger Took Its Engineering Org from 0 to 300 People At the time of the acquisition, he had just six generalist developers. ......... In just seven years, Krieger himself went from first-time manager to leading a multi-layered organization of specialized engineers, many of whom are the best in their fields. ........ how to gracefully transition from an early to a more mature technical team, how to introduce new tiers of management, and how to build an engine for unrelenting improvement and innovation. .......... “Have you heard that expression, ‘shaving the yak’?” Krieger says. “Sometimes programming means solving super complex technical problems. But a lot of times, you end up with a long string of tasks that are necessary to get where you’re going, i.e. ‘I need to get this iPhone app running on my device, which means I need to generate this provisioning profile, which means I need to set up for this account, and on and on.’ In the end, you’re shaving a yak to accomplish that original action — you’re so detached from it.” ............ An effective engineering generalist knows when to move on............ Put pride aside and keep your eye on your real goal. “The goal is not to set up Nagios or Munin. The goal is to ship software so that you can get people using it.” ......... In the early days of Instagram, Krieger and and his team recorded their action items in a rolling Google Doc, organized by themes. ........... “One of our themes was being the fastest photo-sharing app in the world. What are we working toward within that theme? Next, we wanted to make the photos look incredible, way beyond what you'd expect from a cell phone. What are we doing on that? Anything that didn't fit into those things went by the wayside. And you want engineers who are okay with that.” ............. The Google Doc was the perfect minimally viable product for tracking all tasks as a team — and making sure that every single one of them rolled up to one of the organization’s most important goals or priorities. It was broken up into days, and under days into themes. Uncompleted tasks under each theme were migrated to the next day. Highest priority tasks were labeled as such. That way, nothing got lost in the mix, it was easy for people to comment and ask questions, and their eyes were always fixed on what was next for the goals they needed to achieve.
Wednesday, July 19, 2023
19: AI
Material Security’s Path to Product-Market Fit — Find Your Winning Idea by Selling Products That Don’t Exist Yet
Embracing the Winds of Change: How Generative AI Reflects the Michael Jordan Moment in Business Michael Jordan's extraordinary journey that began with his selection by the Chicago Bulls in the 1984 NBA Draft ........ Just as Sonny could see that Jordan would revolutionize basketball, visionary organizations are looking at Generative AI with a similar sense of anticipation. ........ Generative AI promises to redefine industries and create unparalleled value. ........ In the history of computational models, we have never seen such rapid progress. These models can handle huge amounts of data, getting better with each step, and improving and boosting their performance at an unrivaled pace. ........ This technology has the potential to transform everyone into a creator. Visual artists, novelists, and musicians have already started to use generative AI to craft riveting stories, compose symphonies, and more. Picture a future where in a few years, some of us may be generating blockbuster movies using generative AI. This possibility is closer than you think. ...........
the deployment of Generative AI could potentially skyrocket the global GDP by a staggering $ 7 Trillion on an annual basis.
......... Imagine your email system thoughtfully drafting the initial version of your messages or your financial software generating a clear description of significant features in a financial report. It's like having a considerate digital assistant at your disposal, subtly enhancing efficiency and accuracy. ......... From writing customized product descriptions to drafting personalized emails, it enables a level of customer engagement that truly resonates. ....... By swiftly scanning documents and providing synthesized responses to queries, GenAI can accelerate the analysis process and possibly capture insights that might have been missed. ........... In the field of software engineering, AI-powered code-completion tools could revolutionize how developers work. Developers could write code descriptions in natural language, while the AI suggests code blocks that fulfill the description. Such tools can speed up code generation by as much as 50 percent while also assisting in debugging, thereby enhancing the overall quality of the developed product. .......... No longer is it viewed as an attribute predominantly linked to humans; we're now recognizing intelligence as a universal property. ........... it's seen as an inherent trait that can be leveraged to catalyze unprecedented levels of creativity and progress............ how we, as organizations and individuals, will tap into its vast capabilities to construct a society that is more efficient, creative, and inclusive.On Twitter, if you don't have the blue checkmark, you no longer exist.
— Paramendra Kumar Bhagat (@paramendra) July 20, 2023
— Paramendra Kumar Bhagat (@paramendra) July 20, 2023