Well MemoryX compared to H100 HBM3 the key details are that MemoryX has lower latency, but also far lower bandwidth. However the memory on Cerebras is scales a lot more over NVidia. You need a cluster of H100's to create a model, as only way to scale the memory, Cerbras is more suited to that aspect, Nvidia do their scaling in tooling, with Cerbras doing theirs in design via there silicon approach.
That's my take on it all, not many apples to oranges comparisons to work from on these two system for even rolling down the same slope.
Marketing and hype have, as they would say `synergised` in recent decades under new media. Which sadly distracts from the analysis of companies, which is why valuation of companies is more based on PR over assets. I would go as far as calling it hypedinflation, as all that money that ends up in the market, comes from consumers in the end.
So saying AI is the biggest threat to the S&P is glossing over the root causes. Analysts, getting sucked into the marketing hype, are self-fulfilling in that some people go on their recommendations. After all, in the past if a bank was questioned about how stable it is, could easily see a domino of withdrawals that snowballs into actualy becomming unstable, even if it wasn't before.
I found myself picking a row and focusing on the letters, though one stand out. Would have preferred it to be vertical scrolling down over left to right. Maybe add options to pick the scrolling, or is that an aspect of later levels?
1) If only there was a cryptocurrency tied to training AI models and make crypto grinding useful than maths that solve no real-world problem external to the token creation itself.
2) Larger and larger AI models, you start to get more hallucinations, maybe we should focus on dedicated highly tuned models for dedicated aspects and have a higher up conductor model that knows what to farm out to which models and from there combine and send out further requests to other models etc to come to a result. Certainly, the need for highly tuned niche models, after all, language recognition as an example, a model that could identify the language, local dialect and accent, that would then use a language model tuned better for that speaker it is recognising. That approach feels like the way over one large model that does it all itself.
I remember mining something called Gridcoin over a decade ago. It's a cryptocurrency tied to the BOINC project and rewards providing computing power to science.
Ones you can replace the storage with a screwdriver are a safe risk, the soldering upgrades are a void warranty and something you are always best getting somebody who can do it in their sleep to do for you. Soldering is not as easy as it used to be, even the pros will not have 100% success and need to reflow or rework.
Communication—the ability to convey ideas clearly but with tact and elegance—is a skill independent of IQ or creativity. Even highly intelligent and creative individuals can struggle with it.
However, AI, when used correctly, can refine and enhance expression, making communication more effective and polished. It serves as a powerful tool for articulating thoughts with greater clarity and sophistication. Mastering the art of AI-assisted communication, including its techniques and potential pitfalls, could undoubtedly be the subject of a valuable and insightful book for all spectrums of humanity.
I would imagine that such a tool to infer emotional states would be most useful for autistic people who are as I can attest, somewhat handicapped upon that front. Maybe that will get challenged as disability discrimination by some Autistic group. Which would be interesting. As with most things, there are rules, and exceptions to those rules - no shoe fits everyone, though forcing people to wear the wrong shoe size, can do more harm than good.
> I would imagine that such a tool to infer emotional states would be most useful for autistic people who are as I can attest, somewhat handicapped upon that front.
It might well be a useful tool to point at yourself.
It's an entirely inappropriate one to point at someone else. If you can't imagine having someone estimate your emotional state (usually incorrectly), and use that as a basis to disregard your opinion, you've lived a very different life to mine. Don't let them hide behind "the AI agreed with my assessment".
On the other hand, as someone who's emotional state is routinely incorrectly assessed by people, I can't imagine a worse hell than having that misassessment codified into an ai that I am required to interact with.
> I would imagine that such a tool to infer emotional states would be most useful for autistic people who are as I can attest, somewhat handicapped upon that front.
The regulation explicitly provides an exception for medical reasons:
Article 5:
1. The following AI practices shall be prohibited:
[...]
(f) the placing on the market, the putting into service for this specific purpose, or the use of AI systems to infer emotions of a natural person in the areas of workplace and education institutions, except where the use of the AI system is intended to be put in place or into the market for medical or safety reasons;
I can definitely find you autistic people who would hate having such a device pointed at them, because they don't mask the ""correct"" emotional state well enough.
Was on about Autistic people being able to use it to understand the other person, not the other way around, which would be a nightmare for them, which sadly is what they get in real life anyhow already. Though might be useful to warn them that they are sending the wrong signals, so a mixed bag on that way around.
Inches are 2.2" per inch and CM are also over 2 CM in length, almost an inch, just short.
But hey, even CMs are wrong and wonderfully explained in this short - enjoy https://www.youtube.com/shorts/Z2LLcVM2ih4
reply