diego
Re:Meta just suspended the Facebook account of Neal Stephenson
on Monday August 25, 2025 @04:27PM (#45018587)
Meta has extremely opaque account policies. For example, I bought the Meta Raybans a month ago. It kept telling me the AI features were not available in my region, even though I am in San Francisco. I joined Facebook in 2006, and I have used my account for the Oculus headset without a problem. But no matter what I did, the AI function of the Raybans wouldn't work.
I ended up creating a brand new account just for that, and it worked fine. No idea why it would work with a brand new account and not with my old account in good standing, never suspended or warned about anything.
Re:Why I am starting a hardcore tech company in my 50s
on Wednesday July 26, 2023 @02:10PM (#36882246)
I think the title just resonates. Older folks like me must reflexively upvote this stuff. I admit I do sometimes.
Why I am starting a hardcore tech company in my 50s
Re:Why I am starting a hard core tech company in my 50s
on Wednesday July 26, 2023 @01:49PM (#36881867)
correct link, @dang please fix https://iamnotarobot.substack.com/p/why-i-am-starting-a-hard...
Why I am starting a hard core tech company in my 50s
Can you simply brainwash an LLM?
Re:Ask HN: Could you share your personal blog here?
on Tuesday July 04, 2023 @09:49PM (#36594678)
https://iamnotarobot.substack.com/
Lately I've been writing about AI because it's impossible not to. But I generally write shower thoughts about tech and my experiences in the industry.
Re:Generating SQL with LLMs for fun and profit
on Thursday June 22, 2023 @08:51PM (#36441316)
No complaint. It's more of a warning about how the main players (OpenAI, LangChain) share notebooks and cookbooks that illustrate how to make the LLMs "query" the databases. At the very least one would expect some language telling people to not do that in production. And it's not unique to SQL, this is just an extreme example.
Generating SQL with LLMs for fun and profit
Prompt injection along with SQL injection with OpenAI functions
On the Gullibility of Language Models
Re:What Neeva's quiet exit tells us about the future of AI startups
on Friday May 26, 2023 @05:04PM (#36089495)
tl;dr: nothing we didn't know. Since the beginning of times, startups with lots of funding have failed for a number of reasons. AI is no different in that regard.
The path to autonomous intelligent agents: what needs to happen
ChatGPT plugins: OpenAI's attempt to kill Google
Re:Ask HN: I am a full stack developer, where do I start learning for AI
on Wednesday April 12, 2023 @03:54PM (#35545806)
Seconded. Start here, and pause whenever you realize there is something that you need to learn in order to follow. Learn that and keep going.
Re:AGI Doom and the Drake Equation
on Friday April 07, 2023 @03:52PM (#35486219)
I had not seen that article. I'm not surprised someone had a similar idea before.
AGI Doom and the Drake Equation
Re:Behind the curtain: what it feels like to work in AI right now
on Thursday April 06, 2023 @05:05PM (#35474432)
If you try Bard or Claude or character.ai they are not far behind GPT4. They might even be on par in terms of raw LLM capabilities. ChatGPT has better marketing and in some cases better UX. A lot of this is self-fulfilling. We think it's far ahead, so it appears to be far ahead.
Re:You probably shouldn't use OpenAI's embeddings
on Thursday March 30, 2023 @05:07PM (#35378831)
That's exactly what I did here. https://github.com/dbasch/semantic-search-tweets
You probably shouldn't use OpenAI's embeddings
First-Principles on AI Scaling
Re:Lucy Ives' Retro Homepage
on Tuesday February 21, 2023 @07:03PM (#34889609)
Apparently it's simply a writer's website.
Re:Ask HN: What to do with a coffee plantation with about 8000 trees?
on Saturday December 24, 2022 @05:11PM (#34121622)
I mostly agree. The way I would face this decision is like this:
1) Do I enjoy the coffee business? Would I have bought that plantation if the opportunity had arisen? If the answer is no, selling is most likely the right answer.
2) That being said, it's not like the plantation is a hot potato that needs to be sold right away. OP has some time to check it out, learn about the business and decide if this is something worth trying for a few years. How long to try for? What's the opportunity cost? They would decide to invest a limited amount of time (e.g. one year of work) and then reevaluate at the end. I would timebox this decision process too. Perhaps learn all you can in a month and decide if you want to give it a shot? Part of this process should involve getting in touch with people in the industry and seeing if you like interacting with them. In the end, most of your job will be about interacting with the different types of players in your industry.
Solving the first Advent of Code exercise with ChatGPT prompts
What is artificial intelligence and what isn't?
Re:Ask HN: Seriously, steelman this please. 7,400 employees at Docusign?
on Wednesday September 28, 2022 @03:43PM (#33012307)
Large companies have lots of employees not because they need them, but because they can. Many of the people who are good at leadership happen to like empire building and having reports. Every employee in a company is also an evangelist and a marketer, without even trying. Everyone answers the question "where do you work." Having lots of employees gives you slack, and it's easy to get rid of the slack with layoffs.
Text-to-image software: a piano or a digital camera?
Re:On Device Learning
on Sunday September 04, 2022 @02:00PM (#32715777)
> It must fit in a similar space to a human. Like it or not, it’s what the world is designed for.
This doesn't follow. The machine can be distributed, only peripherals need to fit in human space and they don't need to be smart.