ai4ever

7 ms·

1.
by ai4ever 2y ago
thats fair, "any generalization is almost always wrong" but, gen-ai is not introducing a new mode to my day-to-day life. I would liken it to a calculator app. Sure, i use it sometimes, but, it is not changing my day in any signifi
2.
by ai4ever 2y ago
Such statements are made by management folks who dont code, and somehow think coding can be hand-waved away. Sure, this tool will improve the productivity of sw engineers, but so did the compiler which came 50 years back.
3.
by ai4ever 2y ago
lol, they gamed AIME by over-training the hell out of it for marketing purposes and called it done. meanwhile, back-to-basics is broken.
4.
by ai4ever 2y ago
unlike dot-com which brought in ecommerce, or smartphone which put info and entertainment in our pockets, genai is not doing anything to our daily lives. productivity improvements in certain usecases are about it. it is not a giant leap whi
5.
AI PRs pollute git repos(twitter.com)
5 points by ai4ever 2y ago|1 comments
6.
by ai4ever 2y ago
PullRequests become BullRequests
7.
by ai4ever 2y ago
indeed, more speculative monies chasing returns. such a large round implies hardware for yet another foundational model. perhaps with better steering etc..
8.
by ai4ever 2y ago
> For example, Steve Jobs used to run an annual retreat for what he considered > the 100 most important people at Apple, and these were not the 100 people > highest on the org chart. Can you imagine the force of will it would take
9.
by ai4ever 2y ago
what caught my attention were the ads. specifically, the hanes ad.. and i wonder why the hanes brand is still around whereas the motor heater brand is not. and hotel rooms were $3 per night back then.
10.
by ai4ever 2y ago
agree 100% with this take. they are purpose building hardware for their specific application. debugging corner cases and making this robust is going to take them a decade. given that nobody else is interested in this non-standard solution,
11.
by ai4ever 2y ago
agree that anyone making broad generalities like "algos dont matter" is always mistaken. but API design is more about the system, and how it is carved out into components, and what each component does is the algo. so, api and algo
12.
by ai4ever 2y ago
you misunderstand how software systems are built. These days, they are "assembled" out of building blocks which have clean interfaces. similar to how houses are built from prefabricated components. Imagine that the AI is producing
13.
by ai4ever 2y ago
Claims of inventing new materials via AI were debunked... https://www.siliconrepublic.com/machines/deepmind-ai-study-c... DeepMind is overselling their AI hand when they dont have to. "whos to say that" - thi
14.
by ai4ever 2y ago
LLM have unleashed the dreamer in each and every young coder. Now, there is all sorts of speculation on what these machines can or cannot do. This is a natural process of any mania. These folks must all do courses in epistemology to realize
15.
by ai4ever 2y ago
This is nice but not very useful to me. What would be more useful in my use case is tooling to audit my cloud accounts periodically and reclaim garbage which is not used or re optimize my usage (smaller instances or databases depending on u
16.
by ai4ever 2y ago
thats a fair statement to say that humans cannot be the gatekeepers for accuracy or reliability. but why should the solution involve AI (thats just the latest bandwagon)? formal verification of software has a long history which has nothing
17.
by ai4ever 2y ago
let me test it out, and then provide better feedback.
18.
by ai4ever 2y ago
people may be unreliable but the software they produce needs to work reliably. software system is like legos. they form a system of dependencies. each component in the chain has interfaces which other components depend on. 99% reliability d
19.
by ai4ever 2y ago
i dont like to discourage or be a naysayer. but, dont build a platform for software on something inherently unreliable. if there is one lesson i have learnt, it is that, systems and abstractions are built on interfaces which are reliable an
20.
by ai4ever 2y ago
I am surprised to see this: https://www.404media.co/where-facebooks-ai-slop-comes-from/ dont know how valid this is, but encouraging ai-slop as a business strategy to keep sticky customers !
21.
Gemini Ad Backlash(cbsnews.com)
18 points by ai4ever 2y ago|12 comments
22.
by ai4ever 2y ago
i had the same reaction. the clouds are unable to sell gpus/tpus for premium rates, and now are forced to give them as incentives and credits to customers
23.
by ai4ever 2y ago
whats also puzzling is giving away the foundation model the llamas will be used to pollute the social media reducing their value to advertizers
24.
by ai4ever 2y ago
agree 100% with this nice comment from a fellow dot-com crash observer. Many HackerNews readers are young'uns who are seduced by FANG salaries, and the latest AI/ML bandwagon. They dont have the perspective one gets having seeing
25.
by ai4ever 2y ago
FANG envy and fomo. ladder climbing. dont compare yourself with others. focus on your art. be a craftsman at whatever you do. eventually opportunities will beckon or not, and either is fine.
26.
by ai4ever 2y ago
software vendors should be required to face consequences of shipping a poor product. one possibility is: clawback or refunds for past payments equal to business damage caused by the flawed product.
27.
by ai4ever 2y ago
why is openai/anthropic letting this crisis go to waste ? where are tweets from sama and amodei on how agi is going to fix these issues ?
28.
by ai4ever 2y ago
what would be funny is if crowdstrike demanded ransom from their castomars. security is a great business - you play on people's fears, your product does not have to deliver the goods. like the lock maker, you sell a lock, the thief bre
29.
by ai4ever 2y ago
they are busy writing a giant "architecture of generative AI" whitepaper. give them a pause, they are dreaming a future agentic world of half-assed chatbots. while the world burns with botched software updates.
30.
by ai4ever 2y ago
Being an old-timer in the valley, I was shocked to see the pay-packages from FANGs starting in about 2012 or so when facebook went IPO. The monopolies and new-age SAAS companies (meta,google,netflix, salesforce, servicenow) went crazy in th

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