/AI

8 Game-Changing Speech AI Apps You Need To Know

- Kelsey Foster tl;dr: More companies are building with Speech AI than ever before, thanks to enhanced accuracy, speed, and accessibility. Discover innovative tools transforming industries—from next-gen meeting note-takers to conversation intelligence solutions. These cutting-edge apps are redefining customer interactions—see what sets them apart.

featured in #553


AI Tools For Software Engineers, But Without The Hype

- Gergely Orosz Simon Willison tl;dr: “Ways to use LLMs efficiently, as a software engineer, common misconceptions about them, and tips / hacks to better interact with GenAI tools.”

featured in #553


Unlock The Future Of Voice Technology

- Kelsey Foster tl;dr: Discover how this game-changing technology powers everything from voice assistants to real-time transcription. Our comprehensive guide explores the fundamentals of speech recognition, its diverse applications, and the unmatched benefits for productivity and accessibility. Ready to build the next breakthrough?

featured in #551


A Rationale Breakdown Of The Reality Of Artificial Intelligence

- John-Daniel Trask tl;dr: Instead of getting caught up in the fear or the hype of AI, let’s have a grounded conversation. At Raygun they’re cutting through the noise with a clear, evidence-based look at the real potential of this technology.

featured in #550


The LLM Honeymoon Phase Is About To End

- Baldur Bjarnason tl;dr: “This is going to get automated, weaponised, and industrialised. Tech companies have placed chatbots at the centre of our information ecosystems and butchered their products to push them front and centre. The incentives for bad actors to try to game them are enormous and they are capable of making incredibly sophisticated tools for their purposes.”

featured in #548


Securing Applications in the Age of AI: New Threats, New Strategies

- Reed McGinley-Stempel tl;dr: As artificial intelligence reshapes application security, new threats emerge alongside innovative protective strategies. Reed explores the challenges posed by AI-driven attacks and offers proactive measures to strengthen your security framework, empowering you to safeguard applications while maximizing AI's potential for resilience.

featured in #547


Using GPT-4o For Web Scraping

- Eduardo Blancas tl;dr: “I’m pretty excited about the new structured outputs feature in OpenAI’s API so I took it for a spin and developed an AI-assisted web scraper. This post summarizes my learnings.”

featured in #546


OpenAI Is Shockingly Good At Unminifying Code

- Frank Fiegel tl;dr: “Usually I would just power through reading the minimized code to understand the implementation. However, I realized that I never tried asking ChatGPT to do it for me... So I copied all of the above code and asked ChatGPT to "explain the code”.” 

featured in #545


Looming Liability Machines (LLMs)

- Murat Demirbas tl;dr: “We discussed a paper that uses LLMs for automatic root cause analysis (RCA) for cloud incidents. This was a pretty straightforward application of LLMs. The proposed system employs an LLM to match incoming incidents to incident handlers based on their alert types, predicts the incident's root cause category, and provides an explanatory narrative... The use of LLMs for RCAs spooked me viscerally.”

featured in #544


LLM Applications I Want To See

- Sarah Constantin tl;dr: “But the most creative and interesting potential applications go beyond “doing things humans can already do, but cheaper” to do things that humans can’t do at all on comparable scale.” Sarah shares a list of app ideas. 

featured in #543