Viewing profile — hajile
hajile
HN member- Joined
- Fri, Oct 04, 2013, 2:51 PM UTC
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- 7,464
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- 3,178 items
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About hajile
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Recent public activity
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Comment #49196992
> Itanium would still have sucked I'm not completely convinced of this. If you ignore VLIW, you just have a very unexciting RISC ISA, but because of the VLIW, you get extra schedul…
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Comment #49186726
How will costs come down? Each generation of model is more expensive to train and run than the last. More efficient hardware? That means throwing out billions of dollars worth of e…
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Comment #49186651
As it stands, the leaked financials prove him correct. Given their losses (not counting restructuring) they are going to need enough funding to buy any of the bottom 300-400 of the…
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Comment #49155837
The real answer is to stop trying to have AI reviewing AI code because it's just the blind leading the blind.
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Comment #49155478
Nvidia already seems to be pivoting to "Local inferencing" with stuff like RTX Spark laptops. The problem is that local inference machines won't allow anywhere close to their curre…
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Comment #49155389
On a $100B AI datacenter, some 60-70% of the center needs to be replaced every 2-6 years. These companies claim the hardware lasts 6 years while simultaneously claiming they are re…
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Comment #49109636
All "interim" AI contributions to OpenJDK can and will be sued to make big money off of Oracle if those court cases don't go a certain way. This is ironic given how Oracle has bet …
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Comment #49076942
The distillation commentary is really crazy coming from a company that stole all it's training material.
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Comment #49067648
You formally verify that your incorrect solution executes without a hitch, but you might just be formally verifying that any user can hit your API and download all your plaintext p…
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Comment #49036295
He sees what is coming. Crowd funding HAS to be dropping off as people choose between feeding their family or their favorite content creators (the creator will be fine as they have…
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Comment #48961387
I might buy this if those languages were actually faster. Instead, implementations of scheme with no commercial backers run circles around scripting languages with huge budgets. Co…
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Comment #48859246
Last I checked, both of these were built on top of Common Lisp/SBCL.
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Comment #48856500
function can do what a macro does, but it must run every single time while the macro can run just one time during the final code generation. Let's say you have some Java-style a + …
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Comment #48856276
Your lisp criticism is orthogonal to the idea of lisp itself. Lisps like Coalton (lambda calculus) or Shen (sequent calculus) are strongly typed. AI is an interesting point too whe…
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Comment #48838962
They might be profitable for the exact two months SpaceX is giving them billions worth of free compute doesn’t seem convincing to me.
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Comment #48808642
This is like when a vacuum doesn’t pick something up after a few tries. The user picks the thing up, looks at it, then puts it back down and tries again until they finally give up …
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Comment #48798945
XML wasn’t the best alternative then either. S-expressions have been around since the 50s and are better than either XML or JSON.
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Comment #48798417
I fear even a lot of bright, motivated people will be so discouraged by AI doomers that they won’t bother trying to learn.
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Comment #48701891
I'm wondering about something different. FPGA seems ideal for an AI chip because you can simply flash the latest model. The downsides are low density and low clockspeed. It seems t…
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Comment #48701713
> These people are professionals that acknowledge IPC is a stupid metric. Even if you think IPC is a stupid metric (it's not), ARM is still wiping the floor in total performance, p…
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Comment #48701129
The government isn't going to be making chip fabs go any faster which is the biggest limitation here. The second big issue is that it takes months to fab chips meaning your hardwar…
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Comment #48700985
There is a reasonable kernel of an idea here, but only if you dial expectations WAY back. The 10 years speculation is just wrong though. Even in 10 years, their 8B param model isn'…
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Comment #48700628
The better solution would be making part of the chip cluster use something like FPGA which can be reprogrammed. Text to speech or diagnostics equipment where the core model is rela…
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Comment #48695271
Taalas HC1 AI uses Llama 3.1 8B, but takes up a massive 53B transistors and 815mm2 on TSMC N6 (nearly at the reticle limit of 858mm2). N2 is a little less than 3x as dense (110MTr/…
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Comment #48695068
If I can run it locally, it is certainly more safe than running on some cloud server somewhere.