hi
New GPT-3 model: text-DaVinci-003
181–190 of 216 posts
Re: New GPT-3 model: text-DaVinci-003
#182Should I apply for start-up competitions?
Re: New GPT-3 model: text-DaVinci-003
#183Earlier quoted context omitted.
Have it compose a poem — a poem about a haircut! But lofty, noble, tragic, timeless, full of love, treachery, retribution, quiet heroism in the face of certain doom! Six lines, cleverly rhymed, and every word beginning with the letter S!!
Sleek strands of sadness, soon severed and shorn; Solace sought in scissors, slicing and scorned. Sublime sorrow, set sorrowfully still; Stoic heart to surrender, so swiftly and shrill. Secrets spilled in soft, sorrowful swish Sorrowful sounds, soon silenced with snip.
Oh, that's Byron, "When we two parted"
Sleek strands of sadness,
soon severed and shorn;
Solace sought in scissors,
slicing and scorned...
When we two parted
In silence and tears,
Half broken-hearted
To sever for years...Re: New GPT-3 model: text-DaVinci-003
#184Earlier quoted context omitted.
I don't think I can, unfortunately :) It's really a subjective evaluation, but I viscerally find GPT3's output here miles less interesting than Eliot. It needs to have some layers... or at least the appearance of having layers. Unexpected combinations of expressions and words.. yet unexpected in a way that they don't seem forced. It shouldn't be just rearranged prose. And it has to have a certain flow... when there i…
Thank you for the detailed response! Given all of the context you give I can see why you could arrive at a conclusion that it is bad. You and the other post seem to agree it is (summarised by me, correct me if I misunderstood) about subverting expectation while still remaining relatable. It's cool in concept, but I think it just does not land for me. The poem you linked seems very novel. I did not expect most of the…
I'm glad my response was helpful in some way! And yeah, if it just doesn't land for you that's fine. :) To be honest, poetry kind of grew on me over time.
In a way I find poetry much more similar to music than to literature in the effect it has and how I perceive it.
Just wanted to add this reading of that poem. I find it brings it to life more. Not saying it's going to make you like it, but I think it can be more effective than just reading it. (Some would very much disagree with that though... including Eliot I think :D )
Re: New GPT-3 model: text-DaVinci-003
#185You can see comparisons of 002 and 003 here for summaries of current top HN stories: https://news.jiggy.ai (via open source summary bot https://github.com/jiggy-ai/hn_summary )
> "This is a blog post written by the author."
That non-tautological opening line of summarization may become increasingly relevant, and rare.
Re: New GPT-3 model: text-DaVinci-003
#186The same "prompt-craft" that folks are learning with the Dall-E and Stable Diffusion derivatives is relevant to interacting with text-davinci-003.
Example as a colleague and I kicked the tires yesterday, first his question:
. . .
Q: What happened in the 2019 capital one data breach? What improvements could be made to the cloud architecture to eliminate the attack surface entirely?
A: In the 2019 Capital One data breach, a hacker was able to gain access to the company's cloud storage system and steal the personal information of over 100 million customers. Improvements that could be made to the cloud architecture to eliminate the attack surface entirely include implementing multi-factor authentication, encrypting data at rest, and using a zero-trust security model.
Ok, so maybe it can’t be a CISO yet, but it’s getting close
. . .
My rephrased prompt-craft version:
. . .
Q. What was the root cause of the 2019 Capital One data breach? What changes should engineers make to their AWS architecture to prevent similar attacks?
A. The root cause of the 2019 Capital One data breach was a misconfigured web application firewall (WAF) on an Amazon Web Services (AWS) cloud computing platform. The attacker was able to exploit a vulnerability in the WAF, allowing them to access and exfiltrate data from Capital One’s systems.
To prevent similar attacks, engineers should take the following steps:
1. Implement least privilege access – Ensure only essential users have access to critical systems.
2. Monitor user access – Track user activity and log all changes to the environment.
3. Utilize multi-factor authentication – Require users to submit additional identity verification measures (e.g., two-factor authentication) for more secure logins and account access.
4. Implement security auditing/alerts – Set up automated alerts for any suspicious activity or changes in user behavior or credentials that could indicate a breach or attempted breach.
5. Use encryption – Encrypt user data to protect it from unauthorized access in transit or at rest on AWS servers, databases, and other storage systems.
6. Regularly patch vulnerabilities – Make sure all software and applications are up-to-date with the latest security patches released by AWS and other vendors as soon as they are available to reduce the possibility of an attack exploiting any known vulnerabilities in these systems.
. . .
My take:
OK CISO, prompt-craft FTW
Colleague's response needed no summarization:
OMG
Seriously, omg
. . .
PS. Colleague's question and answer is actually what an enterprise CISO gets asked and has to answer in the board room. Mine is what the deputy CISO has to know and implement. :-)
Re: New GPT-3 model: text-DaVinci-003
#187No post body was provided.
Re: New GPT-3 model: text-DaVinci-003
#188No post body was provided.
Re: New GPT-3 model: text-DaVinci-003
#189I've been using GPT-3 recently to give me ideas for my nanowrimo novel. I'll just paste in the last couple of paragraphs that I wrote and see what it thinks I should write next. Most of the time, the responses are pretty silly (it gets into loops a lot or doesn't know where to take the story) but a couple of times I've gotten some really good lines out of it. It kinda feels like copilot, but for writing!
Have you seen NovelAI? That's kinda their whole thing is a copilot when writing stories. I don't know the tech they use but it could just be GPT-3 in the backend.
They use a combination of GPT-neo models from Eleuther and Facebook's Fairseq models -- the special sauce for NAI is their fine-tunes on those models though. They have a free trial so I'd recommend checking it out if anyone wants to play with it.
Re: New GPT-3 model: text-DaVinci-003
#190I'm not seeing DaVinci enabling any scalable business models with its pricing ($0.02/1K token).
Pretty sure it's just a matter of time until it goes the way of Stable Diffusion.
biggest barrier to this is the hardware requirements. I saw an estimate on r/machinelearning that based on the parameter count, gpt-3 needs around 350GB of VRAM. maybe you could cut that in half, or even one-eighth if someone figures out some crazy quantization scheme, but it's still firmly outside of the realm of consumer hardware right now.
stuff like koboldai can let you run smaller models on your hardware though (https://github.com/KoboldAI/KoboldAI-Client).