xpuente

He inherited his predecessor’s bad manners and arrogance.

But how can you verify that the processor's own software, which ultimately runs the application, has not been compromised?

How can you have a secure enclave without hardware attestation? Processor root-key is the source for all.

There are also many high-performance Chinese implementations that are open-source (e.g., XuanTie C910, XiangShan, etc.).

While achieving an open-core design comparable to Zen 5 is unlikely in the near term, a sustained open-source collaborative effort could, in the long run, significantly change the situation. For example, current versions of XiangShan are targeting ~20 SPECint 2006/GHz (early where at ~9).

No: RISC is open ARM is closed.

I suspect that many projects—such as BOOM—have stalled as a consequence of this situation. If it continues, the long-term impact will be highly detrimental for everyone involved, including stakeholders in Western countries.

Desperate to run without even knowing how to walk.

This is going to end badly — and soon. It’s ironic that catastrophic forgetting (i.e., the inability to perform continuous learning) and hallucinations (i.e., the failure to recognize when a prediction is unfounded) won’t be the causes of the crash, but rather greed and stupidity.

Konrad had the ideas; others received the glory. History has been unfair to him—he was simply on the wrong side of it.

Consciousness, once engineered, will make any biology redundant.

It won’t be us. It will be our descendants — the machines.

AGI may finally arrive — the long-awaited gold transmutation dreamt of by modern "linear algebra" alchemists.

As far as I know, pruning is related to age. At birth, we have a massive number of silent synapses. As we grow older, those that remain unused (i.e., inactive) tend to disappear. This process involves a delicate mechanism, including components of the immune system.

The unfortunate reality is that no one truly understands how memory works. Many theories are floating around, but the fundamental components remain elusive. One thing is certain: it is quite different from backpropagation. Thankfully, our brains do not suffer from catastrophic forgetting.

The issue is that no one fully understands why synaptic pruning occurs in biology. Large language models have no direct connection to biological systems, and pruning in LLMs is no exception.

The usefulness of AST is not limited to biological systems. A hypothetical conscious electronic system might also need AST to: (1) stabilize internal states more quickly during learning, (2) respond more quickly to input stimuli, (3) use internal predictive flows to 'simulate' inputs in order to learn from a reduced number of sensory-linked events.

It may not magically appear. It may, by design, be woven into the learning process.

Secure enclaves can solve the problem once for all. I don't understand why is not applied (given the support in current hardware).

"Heavier-than-air flying machines are impossible.",

-- 1895, Lord Kelvin, president of the Royal Society

Proof of that this is wrong, is that our brains require <20W of power. Non-brute force AI will be very efficient. Simple operations (int add/cmp) and no float matrix multiplications and keep moving around the same data all the time from memory to the ALU. GPUs will be overthrown by simple PIM.

My comment was not about the ISA implementation or specification, It's about the TCB (trusted compute base), which in Apple (like intel and AMD) is closed. In RiscV is open. I would recommend you to educate yourself on any topic before lecture others.

It has to with the secure processor. Although you seems to ignore what is the TCB.

Security through obscurity is really a bad idea, and Apple is no exception. In the long run, this will likely drive the adoption of RiscV as a better alternative.

I wonder what will happen if someone figures out that fused FP mult add is no longer needed (e.g. just count spikes and add subtract permanence). This could be a big problem for the guys with all their eggs in one basket (like NVIDIA).

Most likely related to this:

https://www.searchenginejournal.com/openai-pauses-new-chatgp...

The back-end cost does not scale. Hence, they have a big problem. AGI nonsense reasons are ridiculous. Transformers are a road to nowhere and they knew it.

We need RISCV hardware with Ztso extension to shine here. Enforcing Total store ordering (TSO) over a release consistency (RC) memory model is otherwise a pain. I don't know if Dynarec is tackling this problem (or just focusing emulation on single-threaded software).

The first hypothesis seems to be false. We have no idea how the brain works or how conscience arises (and what it is). So how can we reproduce or surpass it with a pattern recognition machine like a DL system? Just because the brain uses pattern recognition as a trick to build a model of the world does not mean that DL magically produces conscience. There is too much evidence that biological systems don't work that way, and all this discussion seems like old alchemists discussing whether gold transmutation could destroy the world. We have to learn "chemistry" first. Later we can start discussing that (or deeper issues like what will be the relationships between us and sentient pieces of silicon).

[1] is not very far from that. IMHO, [1] it is better.

[1] https://pages.cs.wisc.edu/~remzi/OSTEP/vm-freespace.pdf

Too bad. Not a single mention of CTLoop in the whole paper.

I wonder why they don't start to use secure enclaves to fix this cheating debacle? This might solve the problem for good. Between the cheaters and the companies trying to stem the tide, is destroying FPS online gaming.

I guess intel SGX chaos didn't help either.

How many uOps is that instruction in x86_64?

Note that while the performance effect of L1I cache misses is negligible, the complex x86-64 decoder may not be. Some SPECpu2017 have front-end problems due to the x86-64 decoder.

This could be a good epitome of “good artists copy, great artists steal” -- Picasso.

numactl is missing there. Information about memory topology is quite important.