uxhacker

Really interesting is that current LLMs don’t explicitly use chunking for storage; they rely on distributed representations across parameters. However, their self-attention mechanisms and sequence processing mimic chunking during runtime, creating dynamic "chunks" of context.

I’m at my limit, wondering if future models incorporating explicit chunking for better memory, scalability, and efficiency could truly take them to the next level.

You're absolutely right—this topic is fascinating but complex, which might explain why people are engaging with the idea but struggling with the takeaway. One way to think about the paper is that it extends the chunking model, which is essential not only for UX design but also for understanding how people perceive and organize the world around them.

How This Extends the Chunking Model

1) Dynamic, Real-Time Chunking: Traditional chunking models focus on discrete, often static information (like remembering a phone number or words). This study shows how the brain applies a similar principle to continuous, dynamic experiences—segmenting life into "mental chapters" as events unfold.

2)Neural Foundations: By identifying the specific brain areas (hippocampus and prefrontal cortex) responsible for marking event boundaries, it adds a biological layer to the chunking model. It’s not just a cognitive strategy—it’s a neural process tied to memory formation and retrieval.

3) Application to UX Design: In UX, understanding event boundaries can inform how we design user journeys. For example, breaking a process (like signing up for a service) into clear steps with defined "boundaries" helps users perceive the flow and remember their progress. Similarly, designing interfaces to reflect natural event segmentation (e.g., transitions between scenes in a video or steps in an onboarding flow) aligns with how people mentally organize experiences.

4) Understanding and Communication:

Beyond UX, this model shows why clear, structured narratives are critical for teaching, storytelling, or even summarizing a paper. Without clear boundaries, information gets lost in the noise. Potential Hypotheses for Altered States:

It also hints at why psychedelics, which might blur these event boundaries, lead to a sense of timelessness or interconnectedness. This could extend into therapeutic applications or understanding atypical cognition.

Why This Matters for Understanding Things When we fail to structure information with clear boundaries, it becomes harder to process or remember—perhaps like your experience skimming the article. This study offers a roadmap for how we can improve communication and design to better align with our brain's natural segmentation processes.

How about powerpoint as a metaphor? The challenge we face is how to explain something complex. But also do we not get into the issue that the Medium is the Message? That just by using voice rather than an image do we not change the meaning. And is that necessarily bad?

So what are the other models we could use ?

You can read here https://www.jstor.org/stable/249202?read-now=1#page_scan_tab... I am sure there are other resources available.

Is this the same issue with content creators being reimbursed for generative ai?

Originally the PNR when the reservation systems where built in the 1960’s and 70’s the six / seven / eight digit reference was the hash of the physical location in memory of the booking. It would take very few cpu cycles to recall the booking.

Nowadays of course the booking reference is virtual.

This really only presents the hypothesis that artificial intelligence (AI) will significantly impact the final stages of various processes, often referred to as the "last mile." However, she does not provide substantial evidence or detailed arguments to support this claim. The article lacks specific examples, data, or references that would substantiate her position, making it more of an opinion piece than a thoroughly backed analysis.

Don't get me to be wrong I would love this to be true.

Agile is dead long live (fr)agile.

To quote William Gibson, ‘The future is already here—it’s just not evenly distributed.’ While AI is clearly making a big impact for you in software development, there are still many industries and areas of daily life where its full potential hasn’t been realized yet. For example, how much could it revolutionize how people handle taxes, navigate complex legal processes, or streamline personal and professional tasks? We’re seeing the early waves of change, but there’s so much room for growth in ways that might seem mundane but could make a huge difference for everyday users. Excited to hear your next update!

The article highlights several intriguing points. Notably, OpenAI reports that 75% of its revenue comes primarily from consumers, rather than corporate subscriptions—a telling statistic.

Additionally, one-third of American employees now use AI for work at least once a week, with even higher adoption rates in certain roles. A recent study reveals that 78% of software engineers in the U.S. utilize AI weekly, up from 40% in 2023, while 75% of HR professionals do the same, an increase from 35%.

It’s interesting to see how this research emphasizes the continued need for human expertise, even in the era of advanced AI. It highlights that while AI can significantly boost productivity, the value of human judgment and domain knowledge remains crucial.

I’ve found using AI tools strategically helps boost productivity. I use OpenAI Chat, Cursor, and Claude, each for specific purposes. Claude is great for coding without memory and serves as a nutrient-tracking diary, but I occasionally reset prompts to manage memory limitations. Cursor handles programming well but requires persistent, structured questioning. OpenAI Chat’s memory is a double-edged sword, useful yet needing occasional edits. Living in Poland, I rely on both Claude and OpenAI for translations, especially between English, Polish, and Ukrainian.

The humor comes when AI ‘misunderstands’—once, ChatGPT hilariously offered to vacuum a room instead of translating the words "Please vacuum the room”.

It’s interesting to see a Chinese LLM like DeepSeek enter the global stage, particularly given the backdrop of concerns over data security with other Chinese-owned platforms, like TikTok. The key question here is: if DeepSeek becomes widely adopted, will we see a similar wave of scrutiny over data privacy?

With TikTok, concerns arose partly because of its reach and the vast amount of personal information it collects. An LLM like DeepSeek would arguably have even more potential to gather sensitive data, especially as these models can learn from and remember interaction patterns, potentially accessing or “training” on sensitive information users might input without thinking.

The challenge is that we’re not yet certain how much data DeepSeek would retain and where it would be stored. For countries already wary of data leaving their borders or being accessible to foreign governments, we could see restrictions or monitoring mechanisms placed on similar LLMs—especially if companies start using these models in environments where proprietary information is involved.

In short, if DeepSeek or similar Chinese LLMs gain traction, it’s quite likely they’ll face the same level of scrutiny (or more) that we’ve seen with apps like TikTok.

The article actually addresses this directly through Wheeler's distinction between "Voice of the Customer" (arbitrary targets/expectations) and "Voice of the Process" (what's actually achievable). The key insight is that focusing solely on hitting targets without understanding the underlying process capabilities leads to gaming metrics. Amazon's WBR process shows how to do this right - they focus primarily on controllable input metrics rather than output targets, and are willing to revise both metrics and targets based on what the process data reveals is actually possible. The problem isn't having targets - it's failing to reconcile those targets with process reality.

Is this the real start of processed food and the obesity crisis?

It feels like there’s a big gap in this discussion. The focus is almost entirely on GPU and hardware investment, which is undeniably driving a lot of the current AI boom. But what’s missing is any mention of the software side and the significant VC investment going into AI-driven platforms, tools, and applications. This story could be more accurately titled ‘The GPU Investment Boom’ given how heavily it leans into the hardware conversation. Software investment deserves equal attention

There is OpenFLUX.1 which is a fine tune of the FLUX.1-schnell model that has had the distillation trained out of it. OpenFLUX.1 is licensed Apache 2.0. https://huggingface.co/ostris/OpenFLUX.1/

No as Ozempic mimics the reaction of the body to certain classes of food such as fibre and probiotics.

For most people if they eat more fibre and probiotics we would not need Ozempic.

But the prompt should be copyrightable?

Here is the story without a paywall https://www.reuters.com/technology/artificial-intelligence/o...

The article quotes Goldman Sachs’s head of stock research Jim Covello saying that he counted 40 billboards about artificial intelligence between SFO and San Jose.

My question is how ubiquitous is AI? Here in Poland maybe just 1 in 100 people I know are using it. Stories I hear from the US is this is far higher there.

The impact AI has had on my personal productivity is immense.

So is really a hype?

What are the other tools needed for the focus economy? And why don't we use these tools?

Does an ageing decreasing population matter with coming influx of the robots? What will the impact be on countries like Greece, Japan, and even China?

Front-End Developer - 100% Remote (Preferred Locations: Asia, Middle East, or Europe)

We’re an early-stage startup blending top talent from tech and luxury brands to revolutionize content creation for fashion and luxury brands using generative AI. We’ve already got a skilled programmer on board and a strong working prototype. Now, we’re looking to hire a front-end developer to help us build out the user-facing side of our platform.

What you’ll do:

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What we’re looking for:

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Why you might be interested:

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Is this an unintentional war by Europe on facebook, signal, etc? What will the outcome be? Will these services leave Europe? Will Europe change the rules ?

As Blaise Pascal said, ‘Le silence est le plus grand persécuteur de la vérité’ (Silence is the greatest persecutor of truth). The lack of communication from judicial authorities, whether a magistrate, prosecutor, or juge d’instruction, only invites speculation. Transparency is key to preventing rumors from shaping the narrative

Macron may insist that the arrest of the Is Pavel Durov isn’t political, but it certainly looks that way. The silence from the judicial system, particularly the lack of a statement from the public prosecutor, only fuels this perception. Without clear communication, the void is filled with suspicion, making it hard to argue that politics isn’t at play.