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Respell: Democratizing AI for Workflow Automation

In the dynamic world of technology, a new player has emerged with a mission to revolutionize how we approach workflow automation. Meet Respell, a company designed to bridge the gap between generative AI and the everyday non-technical employee.

The Genesis of Respell

Matthew Rastova founded Respell with a key insight. He saw the need to help non-technical people create and manage workflows. Most tools are made by engineers for engineers. But Respell is different. It offers a simple, intuitive approach. This makes workflow management easy for everyone.

A New Approach to Workflows

What sets Respell apart is its unique application of generative AI. Imagine being able to just describe the workflow you need, and the software takes it from there. That’s exactly what Respell offers. This innovative method allows users to create “spells” – a term the company uses to describe its automated workflows. These spells can be crafted from scratch or chosen from a selection of prebuilt options, providing flexibility and ease of use.

Funding and Technological Backbone

Respell’s potential is clear:

  1. Strong Funding: It raised $4.75 million in seed funding.
  2. Investor Confidence: This funding shows strong investor belief in its vision.
  3. Powered by GPT-4: Uses advanced AI for natural, human-like text generation.
  4. Commitment to Tech: Demonstrates Respell’s focus on cutting-edge AI for a great user experience.

A Vision for the Future

Respell’s goal is ambitious yet clear: to make powerful AI accessible to anyone. Their platform is not just about automating tasks; it’s about customization and personalization, ensuring that each user can mold the AI to fit their specific needs and workflows. This approach could be a game-changer, particularly for those who have felt sidelined by the complexity of traditional AI tools.

Empowering the Non-Technical Workforce

Respell’s impact on workplaces is significant:

  1. Game-Changer for Non-Technical Staff: It simplifies workflow automation.
  2. Sparks Creativity: Encourages innovative thinking among employees.
  3. Boosts Efficiency: Speeds up the process by removing dependency on tech teams.
  4. Empowers Employees: Allows staff to set up their own workflows.
  5. Leads to Better Outcomes: Results in faster implementation and more creative solutions.


Respell is on a path to redefine how we interact with AI in our daily work. By simplifying the use of advanced AI for workflow automation, it opens up a world of possibilities for those who may not have a technical background. As Respell grows and evolves, it will be fascinating to see how its approach to democratizing AI technology reshapes the landscape of workflow automation.

Weekly tech and AI news roundup

Last Week in AI

Welcome to “Last Week in AI” your go-to source for the latest and most intriguing developments in technology and AI. This week, we’re diving into some breakthroughs and surprises that are reshaping the industry. From the innovative Fast Feedforward architecture in AI to the latest in video editing AI technology, we’ve got you covered with the stories that matter.

Under the Radar News of the Week

Fast Feedforward: A Game Changer in AI Efficiency

The AI world’s buzzing about something new: Fast Feedforward (FFF) architecture. Here’s the lowdown:

  1. What is FFF?: Imagine a neural network, the brain of AI, but super-efficient. That’s FFF. It’s a fresh take on building AI that does its job using way less computing power. Think of it as a brainy eco-friendly car of the AI world.
  2. Beating the Competition: There’s this other AI tech called mixture-of-experts networks. They’re cool, but FFF is like the new kid on the block showing them up. It’s quicker, more efficient, and gets to the right answers faster.
  3. FFF’s Secret Sauce: Two big things here. First, it’s got this thing called noiseless conditional execution – it’s really good at ignoring useless data. Plus, it doesn’t need tons of neurons to make smart guesses. So, you don’t need a beast of a computer to run complex AI.

Why’s this a big deal? If you’re into AI, FFF could change the game. It means running smart AI models could get easier and cheaper. We’re talking better chatbots, sharper weather forecasts, and so much more. Bottom line: FFF is about doing a lot more with a lot less, and that’s huge for tech everywhere.


ChatGPT’s Stellar First Year: A Tech and Revenue Triumph

ChatGPT’s first year? Total game-changer in the tech world. Let’s dive into the highlights:

  1. Massive App Success: The ChatGPT apps for phones are a hit. Launched in 2023, they’re a new way for folks to chat with AI. With over 110 million installs and nearly $30 million in the bank, it’s clear people are loving it.
  2. Huge, But Not the Biggest: While it’s raking in cash, especially with its $19.99 monthly subscription, ChatGPT’s not the top dog in the chatbot revenue game. Still, it’s setting records with downloads and has a strong market position.
  3. Who’s Using ChatGPT?: Turns out, it’s mostly younger guys, with a big chunk of users from the U.S. It’s got a whopping 180.5 million users globally, including big names in business.

So, what’s next? Expect even more growth. This first year’s just the beginning. ChatGPT is reshaping how we use AI in daily life and there’s a lot more to come!

GPT-4: Revolutionizing Radiology and Healthcare

GPT-4’s making big waves in healthcare, especially in radiology. It’s all about making things faster and more accurate. Let’s break it down:

  1. Speed and Precision in Reporting: GPT-4’s churning out radiology reports way quicker than before, but still keeping them spot on. Studies show it’s making things more uniform and efficient.
  2. Acing Comparisons and Exams: When pitted against traditional radiologist reports, GPT-4’s not only matching up but also being more concise. It’s even nailing medical exams, showing it’s not just fast, but also smart.
  3. Project MAIRA and Beyond: This project’s all about pushing GPT-4 to its limits in radiology, aiming to make doctors’ lives easier and improve how patients get involved in their own care.

But hey, it’s not all smooth sailing. There’s a bunch of ethical stuff and clinical trials to figure out to make sure GPT-4 fits into healthcare the right way. Bottom line? GPT-4’s set to seriously shake up how we do medicine. Stay tuned for what’s next!

OpenAI’s GPT Store Launch Delayed to Next Year

OpenAI’s got some news: their much-anticipated GPT store’s launch is pushed to next year. Here’s what’s up:

  1. Unexpected Hold-Up: Originally set for a December release, the GPT store’s debut is now delayed. OpenAI’s been dealing with some unexpected stuff, including a rollercoaster week with CEO Sam Altman’s ouster and return.
  2. Store’s Purpose: The GPT store is meant to be a marketplace for users to sell and share GPTs they’ve created using OpenAI’s platform. It’s all about giving creators a chance to earn from their custom GPTs based on how much they’re used.
  3. Still Making Progress: Despite the delay, the team’s not just sitting around. They’ve been tweaking and improving ChatGPT and their custom GPT platform, so there’s progress happening behind the scenes.

So, what does this mean? If you’re keen on AI and OpenAI’s work, this is a bit of a wait-and-see situation. The GPT store sounds like a big deal for AI enthusiasts and creators, but we’ll have to hang tight a bit longer. Stay tuned for more updates!

Idea to Video

Pika: Revolutionizing Video Editing with AI

Pika’s taking the video editing world by storm, blending AI with creativity. Here’s the scoop:

  1. From Challenge to Innovation: The story starts with Demi Guo at an AI Film Festival. Despite having tools like Runway and Adobe, there were gaps. That’s when Guo, with Stanford’s Chenlin Meng, decided to create something better: an easy-to-use AI video generator. It clicked big time, attracting half a million users and major funding.
  2. Pika 1.0: A Tech Breakthrough: Focused initially on anime, Pika’s AI model is a game-changer. It’s all about realistic videos and cool editing features, backed by some serious tech and influential investors.
  3. Empowering Everyone to Create: Pika’s not just for pros. It’s for anyone who wants to tell a story through video. With its recent $55 million funding, the app’s making high-quality video creation simple for everyone.

Looking ahead, Pika plans to grow its team and maybe shift to a subscription model. The goal? To be the go-to tool for not just filmmakers, but anyone with a story to tell. In short, Pika’s reshaping the whole video editing landscape. Watch this space!

Adobe Amps Up Video AI with Rephrase.ai Acquisition

Adobe’s latest move? Snapping up Rephrase.ai, and it’s a big deal for video buffs and AI enthusiasts. Here’s why:

  1. Rephrase.ai’s Cool Tech: Coming from IIT Bombay and IIT Roorkee brains, Rephrase.ai is no ordinary startup. Their AI turns text into slick videos. Just type, and poof, you’ve got a video. It’s like having a magic wand for video production.
  2. Adobe’s AI Ambition: Adobe’s been diving deep into AI, remember Firefly and those nifty Photoshop tricks? Now, they’re adding Rephrase.ai to their arsenal, signaling a major push into generative AI.
  3. A Game-Changer for Adobe Users: With Rephrase.ai in Adobe’s toolkit, think Premier Pro and After Effects turbocharged with AI. It’s set to revolutionize how we make videos, making it faster and more intuitive.

So, what does this mean for you? If you love making videos, marketing, or just dig tech, this is big news. Adobe’s gearing up to change the game in video production. Keep your eyes peeled – the future of creative video-making just got a lot more exciting!


Google’s GNoME AI Unlocks Millions of New Materials

Deep learning’s latest feat? Discovering a whopping 2.2 million new crystals! Here’s the scoop:

  1. GNoME’s Big Discovery: A deep learning tool named GNoME (Graph Networks for Materials Exploration) has hit a goldmine. It’s predicted the stability of 2.2 million new crystals, including a staggering 380,000 that are stable enough to maybe power future tech.
  2. AI’s Role in Material Science: This isn’t just about numbers. It’s a game changer in how we find and make new materials. Using AI, scientists can now speed up the discovery and even predict which materials could actually work in the real world.
  3. Sharing the Wealth: The cool part? The data on these 380,000 stable materials is now out there for the research community. This could lead to greener technologies and a whole new approach to material science.

Why’s this exciting? If you’re into tech, science, or the environment, this is big news. AI’s not just about robots and chatbots; it’s reshaping how we discover and develop materials that could change our world. Keep an eye on this – the future’s looking bright (and possibly greener) thanks to AI!


OpenAI’s Alleged Secret AI Project Q* Stirs Controversy

There’s some intriguing buzz around OpenAI and its CEO, Sam Altman. Here’s the story:

  1. Secret AI Project ‘Q*’: Reports are swirling about a hush-hush AI system at OpenAI named ‘Q*’. Employees are saying it’s so advanced, it can ace math tests and think critically. But the kicker? They’re worried it’s getting too powerful, and their concerns might not be taken seriously.
  2. Altman’s Reaction: When asked, Altman didn’t shoot down the existence of Q*. He referred to it as an “unfortunate leak.” This has only added more fuel to the fire about what Q* really is.
  3. Safety Concerns in AI: The whole Q* saga taps into a bigger fear about Artificial General Intelligence (AGI) – the kind of AI that could outsmart humans. Experts have been flagging this for a while, worried about potential risks.

Now, it’s important to note that all this is based on claims and hasn’t been confirmed by OpenAI. But it sure has got people talking. Could this be why Altman briefly lost his CEO gig? For now, it’s a mix of speculation and concern in the AI community. Stay tuned as more unfolds.

Nvidia’s CEO Foresees AGI Within Five Years

Nvidia’s big boss, Jensen Huang, has made a bold prediction: Artificial General Intelligence (AGI) could be here in the next five years. Here’s the lowdown:

  1. AGI: Smart as Humans?: Huang defines AGI as tech that’s pretty much as smart as a regular person. While AI’s been advancing like crazy, it’s not yet at the level of complex human smarts.
  2. Concerns in the Tech World: It’s not all excitement, though. Big names in AI, like OpenAI’s Ilya Sutskever and investor Ian Hogarth, are worried about risks. Think fake news, cyberattacks, and scary AI weapons. There’s even talk about AGI possibly threatening humanity if it’s not kept in check.
  3. Tech Leaders Agree: Huang’s not alone in his thinking. Other tech hotshots, like John Carmack of Meta and DeepMind’s Demis Hassabis, also believe powerful AI is just around the corner.

So, what’s the big picture? If you’re into tech and AI, this is huge. AGI could change everything, but it’s got some big names thinking hard about the risks. It’s a mix of excitement and caution as we head into a future where AI might be as smart as us. Stay tuned!

Elon Musk Forecasts AGI Breakthrough in Three Years

Elon Musk, always making headlines, has a fresh take on AI’s future. Here’s what you need to know:

  1. Musk’s Bold AGI Prediction: In a chat with CNBC’s Andrew Sorkin, Musk dropped a bombshell. He thinks Artificial General Intelligence (AGI) is less than three years away. And not just any AGI, but one that could outdo the smartest humans in everything from writing novels to inventing new tech.
  2. Mixed Reactions: As expected, Musk’s prediction has stirred up the pot. There’s a blend of excitement and skepticism in the air. Some folks are pumped about the possibilities, while others are raising their eyebrows.
  3. Ripple Effect on Advertisers: Musk’s statement didn’t just stop at AI talk. It’s had a real-world impact, with many of his supporters urging boycotts against companies like Disney and Apple, who’ve pulled their ads from his ventures.

So, what’s the takeaway? Whether you’re a tech enthusiast, an AI skeptic, or just following the latest from Musk, this is a conversation starter. AGI in three years? It’s a bold claim and one that’s keeping the tech world buzzing. Let’s see how it unfolds!

Final Thoughts

That wraps up this week’s edition of “Last Week in AI.” These stories highlight the continuous and rapid evolution of AI and technology, impacting everything from healthcare to video editing. Stay tuned for more updates and insights next week as we continue to explore the cutting edge of tech and AI innovations.

If you missed last weeks update, you can check it out here.

AI-Powered Healthcare Future

GPT-4’s Impact on Radiology: A New Era in Healthcare

The advent of GPT-4 marks a transformative era in radiology, showcasing how AI can reshape healthcare. We’re witnessing a significant leap from traditional practices to a future where AI aids in crucial medical domains.

GPT-4’s Role in Radiology Reporting

  • Efficiency and Accuracy: GPT-4 has demonstrated its ability to generate radiology reports at a more efficient rate without compromising accuracy. Studies commissioned by the National Institutes of Health (NIH) reveal its potential in standardizing and optimizing radiology reporting​​.
  • Comparative Analysis: Researchers compared GPT-4 generated reports with those of radiologists, focusing on clarity, structure, and content. The AI-generated reports were not only similar in content but also more efficient, using fewer words and characters, thus enhancing communication in clinical practice​​.

Advancements in Medical Domains

  • Benchmark Performance: GPT-4’s impressive performance in medical competency exams and potential utility in consultations indicate a promising outlook for healthcare innovation​​.
  • Structured Reports: Structuring radiology reports is another area where GPT-4 excels. This structuring improves the standardization of disease descriptions, making them more interpretable and searchable for healthcare providers and research​​.

Project MAIRA: Multimodal AI in Radiology

  • Comprehensive Investigation: Project MAIRA focuses on a specialized large multimodal model for radiology report generation, exploring GPT-4’s boundaries in this field​​​​.
  • Impact on Radiologist Workflow: GPT-4’s introduction into radiology aims to enhance workflow efficiency and patient engagement, creating a future where patients and healthcare providers benefit from AI’s precision and clarity​​.

The Future Outlook

  • Patient Engagement and Education: Translating medical reports into more empathetic and understandable formats is a step forward in revolutionizing patient engagement and education​​.
  • Ethical Considerations and Clinical Trials: While GPT-4’s potential is vast, its implementation in clinical environments requires ethical considerations and extensive research through clinical trials to ensure responsible integration in healthcare​​.

All in All

GPT-4 is changing the game in healthcare. It’s bringing AI to radiology, blending it with what doctors know to make patient care safer and more on point. Everyone’s buzzing about how GPT-4 is going to shake things up in healthcare big time. We’re right at the edge of something super exciting in medicine!

Read our previous blog on AI in healthcare.

Inflection AI's Inflection-2 model breakthrough

Inflection AI’s Inflection-2: A New Contender Challenging GPT-4’s Dominance in AI

Big news in the AI world – Inflection AI introduced its latest marvel: the Inflection-2 AI model. This new kid on the block is not just making a splash; it’s causing waves by potentially outdoing giants like Google and Meta, and even challenging the famed GPT-4 by OpenAI. Let’s unpack what this means.

Inflection-2: A Leap in AI Capabilities

Inflection AI isn’t playing around with their new model, Inflection-2. They claim it outshines some big names like Google’s PaLM Large 2 and Meta’s LLaMA 2 on various benchmarks. But what’s more fascinating? It’s giving a tough chase to OpenAI’s GPT-4, considered a titan in AI.

The Tech Behind the Triumph

The secret sauce? Inflection-2 was trained using 5,000 Nvidia H100 GPUs. This approach not only sped up the training process but also made it more cost-efficient compared to its predecessors. Talk about smart resource management!

What’s Next for Inflection AI’s Chatbot, Pi

Remember Pi, the conversational chatbot from Inflection AI released in May? Well, it’s about to get a serious upgrade with Inflection-2. But first, the team needs to fine-tune the model to align with Pi’s unique style and tone. The goal? To make Pi more effective in providing current information without any extra ‘hallucinations.’

The Bigger Picture in Silicon Valley

Mustafa Suleyman, Inflection AI’s CEO, sees Inflection-2 as a best-in-class model for its size, nearly at par with GPT-4. His views extend beyond just the tech – he calls for empathy and forgiveness in the face of recent industry challenges and emphasizes building better companies with innovative governance structures.

Wrapping It Up

Inflection AI’s Inflection-2 is more than just a new AI model; it’s a statement in the competitive world of AI technology. It’s a sign of the vibrant, creative, and highly competitive environment shaping the future of AI in Silicon Valley and beyond.

(Featured Image: © Inflection AI)

OpenAI's Leadership Shakeup: Sam Altman Fired

OpenAI’s Leadership Shakeup: Sam Altman Fired

Big news in the AI world: Sam Altman, CEO of OpenAI, the brains behind ChatGPT, DALL-E 3, and GPT-4, is fired (for now). After a thorough review by OpenAI’s board, they’ve decided it’s time for a change. The reason? Communication issues. It turns out, Altman wasn’t as straightforward as the board would’ve liked, making it tough for them to do their job.

This change is a bit of a shocker. Altman’s been a big player in OpenAI’s journey, even shaping how regulators see AI. But now, the search is on for a new CEO. In the meantime, Mira Murati, an OpenAI insider, steps up as interim CEO.

Murati’s got her work cut out for her, leading OpenAI through this unexpected transition. It’s a critical time for the company, especially with all the buzz around AI and its impact. How she steers this ship will be something to watch.

A group of young professionals

LinkedIn’s New AI Chatbot: Job Seeker Coach

Say hello to LinkedIn’s new robot helper, the “job seeker coach.” Powered by smart GPT-4 from OpenAI, this robot is here to help you find a job, especially if you’re a Premium member on LinkedIn.

Your Job Hunt Buddy

LinkedIn’s AI looks at your profile, checks what you can do, and helps you find good jobs to apply for. It’s like having a clever friend who knows about jobs!

Finding Hiccups

This robot spots things that might make job hunting tough. It’s like having a buddy who checks your work.

Know Your Maybe-Next-Job

Curious about a company? Ask the robot, and it’ll show you who works there. A fun way to know your maybe-future coworkers.

Write Cool Messages

Worried about writing to recruiters? The robot helps you write neat messages they’ll love to read.

Why Now?

LinkedIn wants to help people find jobs faster with this AI, making job hunting exciting and easy.

Big Help from OpenAI

With support from Microsoft and clever work by LinkedIn’s tech team, this robot is here to make your job search smooth. Check our previous blog on LinkedIn’s AI Tools. For more cool news, explore our blog and see how Vease can help your business!

AI Transparency

AI Transparency: AI’s Secretive Nature

In an era where Artificial Intelligence (AI) intertwines with our daily lives, the call for AI Transparency is louder than ever. A recent study from Stanford University casts light on the secretive nature of modern AI systems. Especially notable is GPT-4, the powerhouse behind ChatGPT. This narrative aims to unravel this secrecy, highlighting the potential dangers to both the scientific community and beyond.

The Enigmatic Transparency 🕵️

Venturing into a quest for transparency, Stanford researchers examined 10 distinct AI systems. They spotlighted large language models akin to GPT-4. Their findings? Somewhat disconcerting – none of the models surpassed a 54 percent mark on their transparency scale across all criteria. This opacity isn’t a mere glitch; it’s seen by some as a feature. It veils the complex mechanics from prying eyes, retaining a competitive edge. Yet, this concealment comes at a cost. It threatens to morph the field from an open scientific endeavor to a fortress of proprietary secrets.

  • A glaring instance is GPT-4’s clandestine nature, which leaves many in the AI community and the general populace in a realm of conjecture.
  • The quest for profitability, some argue, is overshadowing the noble pursuit of knowledge and shared understanding in the AI domain.

AI’s Growing Clout Amid Secrecy 🌐

As AI’s influence burgeons, the veil of secrecy encasing it seems to thicken. This paradox isn’t merely an academic conundrum; it’s a societal quandary. The opaque nature of these AI behemoths creates a realm where only a select few hold the keys to the AI kingdom. Consequently, the rest are left in a state of dependency and ignorance.

  • The ubiquitous deployment of AI models across sectors underscores the urgency for greater transparency.
  • Experts’ ringing alarm bells about the risks of masking AI’s inner workings echo across the tech realm.

The Clarion Call for Openness 🔊

The narrative from Stanford illuminates a pathway towards mitigating the risks associated with AI’s opaque demeanor. The call for more openness isn’t just a theoretical plea but a pragmatic step. It aims at fostering a culture of shared knowledge and responsible AI deployment.

Addressing Common Misconceptions

Openness in AI doesn’t equate to a compromise in competitive advantage. It’s about nurturing a symbiotic ecosystem where innovation and transparency thrive concurrently.

Tackling practical implications

More transparency could pave the way for robust community-driven scrutiny. This ensures the safe and ethical utilization of AI technologies.

The Key Takeaway 🔑

A shift towards transparency isn’t merely beneficial; it’s imperative. It fosters the sustainable growth of AI as a scientific field and a societal asset. It’s about relegating the fears associated with AI’s obscure nature to the annals of history. Additionally, it champions a future where AI serves as an open book, ready to be read, understood, and enhanced by all and sundry.


  1. How does the secrecy around AI impact the scientific community? The secrecy can stifle the free flow of ideas, innovations, and collaborations. It turns the field into a competitive race shrouded in proprietary veils. This shift veers away from an open frontier of exploration and shared knowledge.
  2. What does the lack of transparency in AI entail? Lack of transparency in AI leads to a myriad of challenges. It includes a lack of understanding of how decisions are made by AI systems, potential bias, and a lack of accountability. Moreover, it hampers the ability of users and stakeholders to interrogate or challenge AI-driven decisions. This makes it a pressing concern.
  3. What measures can be taken to foster transparency in AI? Measures can include open-source initiatives, transparent reporting of AI methodologies, and data handling practices. Additionally, third-party audits, and creating standards and certifications for transparency and ethical AI practices are beneficial. These steps collectively contribute to fostering transparency in AI.
  4. How can the general populace be educated about the workings of AI? Initiatives like public forums, educational courses, and open-access resources are crucial. Transparent communication from organizations and governments can also play a vital role. These efforts help in demystifying AI for the general populace.
  5. Why is the shift towards transparency termed as a ‘pragmatic’ step? It’s termed pragmatic as it addresses real-world concerns like trust, accountability, and ethical considerations. This ensures AI technologies are developed and deployed responsibly. Therefore, it benefits a broader spectrum of society, making the shift towards transparency a practical and necessary step.

In Conclusion

As we unveil the shroud covering AI, the journey from obscurity to transparency emerges as not just a scientific necessity, but a societal obligation. The discourse around AI’s secrecy isn’t merely academic; it’s a dialogue that beckons us all. As AI becomes a staple in our digital lives, the narrative from Stanford University is a stark reminder. The time for fostering openness in AI is now. Let’s embrace the future of AI with open arms and open codes.

For more AI news, check out our blog.