ai4ever

7 ms·

31.
by ai4ever 2y ago
architecture astronauts let loose on unified field theories.. talking warm and fuzzy - big bold ideas. let them, i say, until, the tide shifts to something else tomorrow, and a new generation of big-picture thought leaders take over dumpin
32.
by ai4ever 2y ago
isnt AGI around the corner for the last year or so ? about time we are tired of this sh* .
33.
by ai4ever 2y ago
so, ex bitcoin miners are pivoting into gpu clouds whats the point ?
34.
by ai4ever 2y ago
altman, and amodei are speaking their book, but in doing so seem like shady snake-oil salesmen. they would be better off not bullshitting their investors.
35.
by ai4ever 2y ago
investor money is seduced by the possibilities and many of the investors are in it for FOMO. few really understand what the limits of the tech are. and if it will even unlock the usecases for which it is being touted.
36.
by ai4ever 2y ago
hardware sales to datacenters is cyclical. 80% datacenter sales are to less than 8 customers. marginal buyers - coreweave and xai are funded with speculative monies to the tune of $15B so, expect pain.
37.
by ai4ever 2y ago
dot.com and internet changed how we shopped, how businesses conducted commerce, and how we communicate. Mobile and smart phones put the internet in our pocket. I dont see how gen-ai is going to change any of our day-to-day workflows. Hence
38.
by ai4ever 2y ago
putting the LLM in the loop makes the tooling unreliable. so, the usecases would be limited to those where accuracy is not important. whereas, a DSL still aims for accurate and deterministic modeling of the specific usecase.
39.
by ai4ever 2y ago
make this open-source, I can bet you will see a lot of contributors. then, make it easy for content producers to incorporate into their websites.
40.
by ai4ever 2y ago
glad to see the pushback against theft. big tech hates piracy when it applies to their products, but condone it when it applies to others' content. spread the word. see ai-slop ? say something ! see ai-theft ?say something ! staying qu
41.
by ai4ever 2y ago
here is an older take on this same topic.. https://www.yitay.net/blog/training-great-llms-entirely-from... GPU vs TPU, and good software managing large clusters of them across all sorts of failure. the funny bit from
42.
by ai4ever 2y ago
see slop ? say something ! there will be a backlash against robotic phone assistants in support centers. support businesses that dont put out slop or ai-garbage.
43.
by ai4ever 2y ago
* red alert * narrative shift triggered. needs to be combated with more hype. VC money is at stake. co-pilots are threatened. sora-hype is exhausted. 4o-hype is tired. call-to-action: "thought-leaders" like a16z to put out gian
44.
by ai4ever 2y ago
Everyone with cash to spare (CSPs and consumer-internet monopolies) and fomo will have their GPUs soon. Who is left ?