🚀 Un desarrollador utilizó Claude, la inteligencia artificial de Anthropic, para crear alternativas gratuitas y de código abierto a Microsoft Word, Excel y PowerPoint.
⠀
Se trata de Brandon Thomas, un ingeniero de software con 15 años de experiencia que desarrolló WordCraft, GridCraft y DeckCraft, tres herramientas que ya están disponibles en GitHub.
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💻 Su objetivo es ofrecer alternativas a las costosas suscripciones de software y permitir que los usuarios tengan mayor libertad y control sobre las herramientas que utilizan.
⠀
Thomas ya había trabajado en ArtCraft, una colección de aplicaciones gratuitas diseñadas como alternativas a los programas creativos de Adobe.
⠀
Aunque estas nuevas herramientas todavía se encuentran en una etapa temprana de desarrollo y no cuentan con todas las funciones de los programas tradicionales, el proyecto demuestra cómo la inteligencia artificial puede ayudar a desarrolladores independientes a crear software cada vez más ambicioso.
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🤔 ¿Crees que la IA permitirá que las alternativas gratuitas compitan algún día con gigantes como Microsoft y Adobe?
💬 Comenta "LINK" y te lo envío por DM. 🚀
🤖 Sígueme en @sergioprompts para más contenido de IA y tecnología.
#InteligenciaArtificial #ClaudeAI #Anthropic #Microsoft #GitHub OpenSource Tecnología Innovación Programación Software
⠀
Se trata de Brandon Thomas, un ingeniero de software con 15 años de experiencia que desarrolló WordCraft, GridCraft y DeckCraft, tres herramientas que ya están disponibles en GitHub.
⠀
💻 Su objetivo es ofrecer alternativas a las costosas suscripciones de software y permitir que los usuarios tengan mayor libertad y control sobre las herramientas que utilizan.
⠀
Thomas ya había trabajado en ArtCraft, una colección de aplicaciones gratuitas diseñadas como alternativas a los programas creativos de Adobe.
⠀
Aunque estas nuevas herramientas todavía se encuentran en una etapa temprana de desarrollo y no cuentan con todas las funciones de los programas tradicionales, el proyecto demuestra cómo la inteligencia artificial puede ayudar a desarrolladores independientes a crear software cada vez más ambicioso.
⠀
🤔 ¿Crees que la IA permitirá que las alternativas gratuitas compitan algún día con gigantes como Microsoft y Adobe?
💬 Comenta "LINK" y te lo envío por DM. 🚀
🤖 Sígueme en @sergioprompts para más contenido de IA y tecnología.
#InteligenciaArtificial #ClaudeAI #Anthropic #Microsoft #GitHub OpenSource Tecnología Innovación Programación Software
🚨 **IS THE AI HYPE GETTING OUT OF CONTROL?** 🤖⚠️
When leaders from **TikTok and Microsoft** start warning about artificial intelligence expectations, it's worth paying attention.
At separate events in Singapore, TikTok CEO **Shou Zi Chew** and Microsoft executive **Judson Althoff** delivered a similar message:
💡 **AI is powerful, but the technology may not be as mature as everyone thinks.**
🔥 **Here are the key takeaways:**
🧠 **1. Humans still have the edge**
TikTok's CEO emphasized that human intelligence continues to outperform AI in important areas, including creativity, complex visual understanding, and long-term memory.
📈 **2. AI expectations may be running ahead of reality**
Despite hundreds of billions being invested in AI infrastructure, today's technology still has significant limitations.
🔐 **3. Cybersecurity is the immediate danger**
Chew warned that AI-related cybersecurity threats are real and deserve more attention than speculative fears about superintelligent machines.
🤝 **4. AI should empower humans, not replace their purpose**
Microsoft's Judson Althoff stressed that technological progress does not eliminate the importance of human judgment and purpose.
🛡️ **5. Trust and transparency are essential**
Companies need stronger oversight, monitoring, and safeguards before giving increasingly autonomous AI systems more responsibility.
💡 **My takeaway:**
The next chapter of AI won't be defined solely by bigger models, faster chips, or billions of dollars in investment.
It will be defined by **trust, reliability, security, and measurable business value.**
The real challenge isn't just making AI more intelligent.
**It's making AI intelligent enough to help — and trustworthy enough to use.**
🤔 **The big question: Are we overestimating what AI can do today while underestimating the risks of deploying it too quickly?**
👇 What's your opinion?
#ArtificialIntelligence #AI #Microsoft #TikTok #AIBubble #Cybersecurity #ResponsibleAI #TechLeadership #Innovation #FutureOfAI
When leaders from **TikTok and Microsoft** start warning about artificial intelligence expectations, it's worth paying attention.
At separate events in Singapore, TikTok CEO **Shou Zi Chew** and Microsoft executive **Judson Althoff** delivered a similar message:
💡 **AI is powerful, but the technology may not be as mature as everyone thinks.**
🔥 **Here are the key takeaways:**
🧠 **1. Humans still have the edge**
TikTok's CEO emphasized that human intelligence continues to outperform AI in important areas, including creativity, complex visual understanding, and long-term memory.
📈 **2. AI expectations may be running ahead of reality**
Despite hundreds of billions being invested in AI infrastructure, today's technology still has significant limitations.
🔐 **3. Cybersecurity is the immediate danger**
Chew warned that AI-related cybersecurity threats are real and deserve more attention than speculative fears about superintelligent machines.
🤝 **4. AI should empower humans, not replace their purpose**
Microsoft's Judson Althoff stressed that technological progress does not eliminate the importance of human judgment and purpose.
🛡️ **5. Trust and transparency are essential**
Companies need stronger oversight, monitoring, and safeguards before giving increasingly autonomous AI systems more responsibility.
💡 **My takeaway:**
The next chapter of AI won't be defined solely by bigger models, faster chips, or billions of dollars in investment.
It will be defined by **trust, reliability, security, and measurable business value.**
The real challenge isn't just making AI more intelligent.
**It's making AI intelligent enough to help — and trustworthy enough to use.**
🤔 **The big question: Are we overestimating what AI can do today while underestimating the risks of deploying it too quickly?**
👇 What's your opinion?
#ArtificialIntelligence #AI #Microsoft #TikTok #AIBubble #Cybersecurity #ResponsibleAI #TechLeadership #Innovation #FutureOfAI
Last month, a new familiar face joined the S&P 500: Reddit. What does this mean for you? NOTHING! In fact, the S&P 500 swaps companies about 25 times a year and if you’re doing things right you won’t even notice. Going back to 1996, only 147 of the 500 companies on the S&P 500 list at the time are still included today. Index funds self-cleanse. Companies get booted off the list for all kinds of reasons. They shrink, get acquired, go bankrupt, or get replaced by the next big thing.
* “Buying Apple/Nvidia/Google/Whatever is a sure thing!” Why buy the “bad” stocks when you can just buy the gold-standard companies that are sure things? If I knew that, I’d have several yachts off the coast of Fiji. When you look through these lists, you realize that a “sure bet” of one decade may be the dying giant of the next. In 20 years, the top 10 will almost certainly look very different.
* “Tech giants have gotten too big.” Doomsdayers tell me how Nvidia, Apple, and Google alone make up over 20% of the S&P 500 and that “tech giants have gotten too big.” Well guess what? In 1973, IBM, AT&T, Exxon, Kodak, and GM made up 25% of the market. Since then, the S&P 500 has returned 27,029% (a CAGR of 11%).
That’s the “self-cleansing” nature of index funds. If you bought an index fund at the beginning of 1973, you would have realized a 27,029% return without doing any of the work of picking stocks. An index fund automatically adds the newest, fastest growing companies as they become big enough to be listed and drops the oldest/dying companies as they fall off the list. That means you always own the biggest and growing stocks in proportion to their size. If the tech giants of today aren’t going to be the biggest companies of the next decade, who will? Who cares! We own them all, and we'll benefit from the growth of every company.
As always, reminding you to build wealth by following the two PFC rules: 1.) Live below your means and 2.) Invest early and often.
- Jeremy & Jenn
Data source: dqydj.com, slickcharts.com
#sp500 #stockmarket #valuations #learntoinvest #indexfunds #topstocks #apple #microsoft #amazon #google #meta #nvidia
* “Buying Apple/Nvidia/Google/Whatever is a sure thing!” Why buy the “bad” stocks when you can just buy the gold-standard companies that are sure things? If I knew that, I’d have several yachts off the coast of Fiji. When you look through these lists, you realize that a “sure bet” of one decade may be the dying giant of the next. In 20 years, the top 10 will almost certainly look very different.
* “Tech giants have gotten too big.” Doomsdayers tell me how Nvidia, Apple, and Google alone make up over 20% of the S&P 500 and that “tech giants have gotten too big.” Well guess what? In 1973, IBM, AT&T, Exxon, Kodak, and GM made up 25% of the market. Since then, the S&P 500 has returned 27,029% (a CAGR of 11%).
That’s the “self-cleansing” nature of index funds. If you bought an index fund at the beginning of 1973, you would have realized a 27,029% return without doing any of the work of picking stocks. An index fund automatically adds the newest, fastest growing companies as they become big enough to be listed and drops the oldest/dying companies as they fall off the list. That means you always own the biggest and growing stocks in proportion to their size. If the tech giants of today aren’t going to be the biggest companies of the next decade, who will? Who cares! We own them all, and we'll benefit from the growth of every company.
As always, reminding you to build wealth by following the two PFC rules: 1.) Live below your means and 2.) Invest early and often.
- Jeremy & Jenn
Data source: dqydj.com, slickcharts.com
#sp500 #stockmarket #valuations #learntoinvest #indexfunds #topstocks #apple #microsoft #amazon #google #meta #nvidia
812
via
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#AI teams now run three orchestration platforms at once. #Microsoft leads usage; everybody is looking at #Anthropic; and challenges remain around runaway costs. #GenAI #AIAgents #GenerativeAI
https://t.co/AmbB0ONUm8
https://t.co/AmbB0ONUm8
4
#Microsoft > à la 3ème minutes et 25 secondes >
Vous avez même toute la suite bêtement de ces prochains mois > https://t.co/BxweoSwRF8
Vous avez même toute la suite bêtement de ces prochains mois > https://t.co/BxweoSwRF8
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