Sevii

7 ms·

31.
by Sevii 7mo ago
The problem is that health insurance companies squander immense amounts of money on adjudicating claims. Huge amounts of GDP are spent on fights between insurers and providers over what is covered.
32.
by Sevii 7mo ago
A lot of it seems to be porting open source projects to rust for other open source projects to consume.
33.
by Sevii 7mo ago
AI providers can only charge what the market can bear. AI isn't worth 20k/month for 'PHD' level work. But people are willing to pay for several $200/month subscriptions. But fundamentally AI compute is a commodity.
34.
by Sevii 7mo ago
Works for me with a Pro sub at https://gemini.google.com/app
35.
by Sevii 8mo ago
Are agents actually capable of answering why they did things? An LLM can review the previous context, add your question about why it did something, and then use next token prediction to generate an answer. But is that answer actually why th
36.
by Sevii 8mo ago
LLMs are continuously improving. So something that didn't work a year ago became possible in November. If you tried to build Openclaw in 2024 it wouldn't have worked. Openclaw isn't groundbreaking, but it is extremely on the
37.
by Sevii 8mo ago
The industrial revolution was extremely hard on individual craftspeople. Jobs became lower paying and lower skilled. People were forced to move into cities. Conditions didn't improve for decades. If AI is anything comparable it's
38.
by Sevii 8mo ago
I think the AI sales orgs are just immature. It's hard to say this but Google's Gemini sales team might be more professional.
39.
by Sevii 8mo ago
AI isn’t good enough to do consulting yet.
40.
by Sevii 8mo ago
What I don't get is, how are these free LLMs getting funded? Who is paying $20-100 million to create an open weights LLM? Long term why would they keep doing it?
41.
by Sevii 8mo ago
It now takes 3 button presses to switch tabs in mobile safari. It used to take just two before glass.
42.
by Sevii 8mo ago
100%
43.
by Sevii 8mo ago
FAANG has been engaged in mass layoffs for two years now. How can you possibly make the claim that there is a surplus of people who can pass the interview loops? Obviously, there isn't because they are firing people who passed those lo
44.
by Sevii 8mo ago
Vibecoding is great for open source. Open source is already dominated by strong solo programmers like antirez, linus, etc. People with very strong motivations to create software they see as necessary. Vibecoding makes creating open source p
45.
by Sevii 9mo ago
Potential criminal charges are enough to deter most people.
46.
by Sevii 9mo ago
Just the consumers unfortunately.
47.
by Sevii 9mo ago
I don't buy the idea of immutable contracts becoming more common with AI assisted coding. One of the areas AI shines is coding against a spec. One of the big problems in old systems is that the cost of upgrading consumers to a new API
48.
by Sevii 9mo ago
He makes an interesting point that we are coding programs that run more slowly now than they did 10 years ago. Javascript has only gotten faster over the last decade, computer have faster CPUs and more RAM. The problem is the frameworks and
49.
by Sevii 9mo ago
Apple's goal is likely to run all inference locally. But models aren't good enough yet and there isn't enough RAM in an iPhone. They just need Gemini to buy time until those problems are resolved.
50.
by Sevii 9mo ago
Small models are getting good but I don't think they are quite there yet for this use case. For ok results we are looking at 12-14GB of vram committed to models to make this happen. My MacBook with 24GB of total ram runs fine with a 14
51.
by Sevii 9mo ago
Very much wish I had gotten a RTX 5090 for local LLMs but it would have doubled the cost of my PC.
52.
by Sevii 9mo ago
AI coding improved a lot over 2025. In early 2025 LLMs still struggled with counting. Now they are capable of tool calling so they can just use a calculator. Frankly, I'd say AI coding may as well have not existed before mid-2025. The
53.
by Sevii 9mo ago
LLMs writing test cases, LLMs writing Selenium tests, LLMs doing exploratory testing, LLMs used for canary deployments. All that testing that people didn't do before because it was too hard and took too long? LLMs will be used to do it
54.
by Sevii 10mo ago
Taking days to work through system design is a good idea. If you aren't going to take time for humans to understand the design why bother with design?
55.
by Sevii 10mo ago
Pushed a new plugin elevator-notifications to the repo/marketplace. I'm seeing notifications in notification center (had to turn mac notifications back on to test). Looks like I could fine tune the actual notification content a bi
56.
by Sevii 10mo ago
Had Claude web put a PR together. I'll test it a bit next. Getting the hooks config to work and figuring out a test flow for plugins was the hard part. https://github.com/Sevii/agent-marketplace/pull/4&#
57.
Show HN: Claude Code Plugin to play music when waiting on user input(github.com)
56 points by Sevii 10mo ago|15 comments
58.
by Sevii 10mo ago
Can you setup automated integration/end-to-end tests and find a way to feed that back into your AI agents before a human looks at it? Either via an MCP server or just a comment on the pull request if the AI has access to PR comments. N
59.
by Sevii 10mo ago
Claude Code latency is at the unfortunate balance where the wait is long enough for me to go on twitter, but not long enough to do anything really valuable. Would be more productive if it took minutes or under 5-10 seconds.
60.
by Sevii 10mo ago
If AI is good enough to write formal verification, why wouldn't it be good enough to do QA? Why not just have AI do a full manual test sweep after every change?

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