beering

11 ms·

181.
by beering 1y ago
Even the original Silicon Valley didn’t match the zaniness of real life. Why do we need a reboot? Just check HN!
182.
by beering 1y ago
Where do you think Codex lags behind Claude Code?
183.
by beering 1y ago
I’m tired of the breathless hyperbole in every AI piece trying to get clicks. Every new thing means that “OpenAI is finished” or “It’s over for Anthropic” or whatever. It’s telling that this take is that Anthropic having a popular product i
184.
by beering 1y ago
A big part of their success today is embracing globalism, beginning with the Westernization effort in the Meiji era and continuing into the present era with top Japanese firms becoming multinational, eg Nintendo/Sony of America, Toyota
185.
by beering 1y ago
Mainly because it brings out the worst in people. It’s easy to read Blind too much and take on a very cynical, money-driven view of everything in your life, which of course a Blind addict would justify as clear-eyed and pragmatic.
186.
by beering 1y ago
> why is it you can talk endlessly with ChatGPT models (specifically I'm referring to the configuration of the models and the application) about a dangerous delusion but not chemical weapons?? Because exploring my sprituality and me
187.
by beering 1y ago
It’s not hard to find applications where 90% success or even 50% success rate is incredibly useful. For example, hooking up ChatGPT Codex to your repo and asking it to find and fix a bug. If it succeeds in 50% of the attempts, you would hit
188.
by beering 1y ago
In general, you can’t expect good answers if the AI can’t see your actual code. Most people trust that their SaaS products are not going to steal their code, as evidenced by the many customers of Github.
189.
by beering 1y ago
should still be in the API for side-by-side comparison, but I’ve never tried the -pro models in the API.
190.
by beering 1y ago
It means that you can keep those shares even if you leave. Otherwise the term vesting cliff would be meaningless at any startup where the shares are not liquid.
191.
by beering 1y ago
You should also try o4-mini-high. Or, if you have already, I’m curious to hear how they compare for you. I somewhat suspect that o4-mini is better on pure math problems that take more thinking and less world knowledge.
192.
by beering 1y ago
Wrong. Blockchain has actually found successful product market fit in several areas: - ransomware payments - money transfers for online and telephone scams - buying illegal drugs online - funding North Korea’s government
193.
by beering 1y ago
Isn’t the simpler explanation that if you ask the same question, there’s a chance you would get the same answer? In this case you didn’t even get the same answer, you only happened to have one sentence in the answer match.
194.
by beering 1y ago
What in the fine print are we criticising? Most of the negative comments make no reference to any fine print on their website.
195.
by beering 1y ago
The o3-preview test was with very expensive amounts of compute, right? I remember it was north of $10k so makes sense it did better
196.
by beering 1y ago
Do you also have numbers on intelligence before and after?
197.
by beering 1y ago
Are you able to quantify how quickly your perception gets skewed by how long you use the models?
198.
by beering 1y ago
It’s easy to measure the models getting worse, so you should be suspicious that nobody who claims this has scientific evidence to back it up.
199.
by beering 1y ago
I think Gell-Mann amnesia happens here too, where you can see how wrong HN comments are on a topic you know deeply, but then forget about that when reading the comments on another topic.
200.
by beering 1y ago
You can simply open up Chatgpt and generate the image yourself, faster than it’d take to transact with this third party. The cool thing is that they are printing a physical book for you.
201.
by beering 1y ago
A human will give different answers to the same question, so I’m not sure why it’s fair to set a higher bar for an LLM. Or rather, I’m not sure how you would design this test in a way where humans would pass and the best LLM would fail.
202.
by beering 1y ago
They didn’t even say what model they used. Half the comments here are probably using a different model than the one in the article.
203.
by beering 1y ago
The $20/month Chatgpt subscription has deep research so the comparison should be $20 vs $20, not $20 vs $200.
204.
by beering 3y ago
You can render frames directly to a video file (ffmpeg option), which I suspect a lot of beginners or casual users do. You can also use the compositor to turn a prerendered frame sequence into a video file. Lastly I suspect most users prefe
205.
by beering 3y ago
Based on their marketing, Glaze is “defensive” because it prevents training a model to have a coherent idea of what your style is, preventing people from generating art “in the style of andai”. Nightshade doesn’t protect you, but it behaves
206.
by beering 3y ago
Even your skeptical take doesn't fully show how faked this was. > The video has a disclaimer that it was edited for latency. There was no disclaimer that the prompts were different from what's shown. > And good speech-to-tex
207.
by beering 3y ago
Is netatalk the key thing here that makes it Time Machine compatible? The rest seems like standard DIY home server stuff.
208.
by beering 3y ago
TobTobXX is correct about how to do push notifs without transmitting the message through Google or Apple servers. This lets the app can fetch the message through its own channels (and you should be able to inspect the push payload coming fr
209.
by beering 4y ago
It looks like the calls needed to control a GUI application are not yet implemented. Does anyone know of a Linux tool that can do GUI automation? E.g. find window A, click menu B, click menu item C…
210.
by beering 4y ago
Is this model flipper not simply SaaS? Aren’t a lot of the companies launched on this website just this concept but bigger?

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