fsndz

8 ms·

1.
by fsndz 1mo ago
this is impressive and actually matches my expectations in terms of near term AI progress. we are going to continue to seem impressive progress in coding & related, anything where verifiability is scalable in an automated way: https:&#
2.
by fsndz 1mo ago
expertise at navigating accidental complexity can easily be mistaken for engineering expertise.
3.
by fsndz 10mo ago
we can't automate it anyway and vibe coding is overrated: https://medium.com/thoughts-on-machine-learning/vibe-coding-...
4.
by fsndz 10mo ago
I did that, burned 2.6B tokens in the process and learned a lot: https://transitions.substack.com/p/what-burning-26-billion-p...
5.
by fsndz 11mo ago
As part of the Holistic Agent Leaderboard (HAL) initiative at Princeton CITP, we evaluated more than 220 agent runs across 9 benchmarks, the equivalent of over 20,000 agent rollouts across 9 models and 9 benchmarks for a total cost of $40,0
6.
by fsndz 1y ago
By that definition, the ChatGPT app is now an AI agent. When you use ChatGPT nowadays, you can select different models and complement these models with tools like web search and image creation. It’s no longer a simple text-in / text-ou
7.
by fsndz 1y ago
and people are still saying vibe coding is overrated? nonsense: https://www.lycee.ai/blog/why-vibe-coding-is-overrated
8.
by fsndz 1y ago
Exactly. I think the study is a good reminder that we really have to be careful about the productivity gains attributed to AI. Main takeaway imo, despite limitations from the study, is AI is not a panacea, it can increase productivity, but
9.
by fsndz 1y ago
I mean, hacker news is still the same aren't they using AI to completely make this website more of whatever it was before ????
10.
by fsndz 1y ago
exactly !
11.
by fsndz 1y ago
Klarna tried this narrative shopping strategy first and it backfired: https://fsndzomga.medium.com/i-have-no-confidence-in-klarna-...
12.
by fsndz 1y ago
I am tired of seeing this. First the Klarna dude did it and it backfired. Now Andy... People fail to grasp the fact that building AI agents is no longer enough, you need to do more: https://medium.com/thoughts-on-machine-lea
13.
by fsndz 1y ago
I now understand why some people say MCP is mostly bullshit + a huge security risk: https://www.lycee.ai/blog/why-mcp-is-mostly-bullshit
14.
by fsndz 1y ago
It's not. can we stop doing this ?
15.
by fsndz 1y ago
the smolagents library is also pretty nice to do the scaffolding around the model. Text to sql seems simple in demos, but to make it work in real life complex cases is very hard: https://medium.com/thoughts-on-machine-learni
16.
by fsndz 1y ago
xarray is nice
17.
by fsndz 1y ago
I can be frustrating at times. but my experience is the more you try the better you become at knowing what to ask and to expect. But I guess you understand now why some people say vibe coding is a bit overrated: https://www.lycee
18.
by fsndz 1y ago
Never bet against science !
19.
by fsndz 1y ago
it's always opt-in until it isn't
20.
by fsndz 1y ago
and setting up postgresql on a simple VPS is so easy... You can literally ask Gemini 2.5 Pro or o3 or Sonnet 3.7 and do it in 15-30 minutes... Learned helplessness is really something and vibe coding is overrated imo: https://ww
21.
by fsndz 1y ago
why is Google more evil than say OpenAI ?
22.
by fsndz 1y ago
More and more people are coming to the realisation that Google is actually winning at the model level right now.
23.
by fsndz 1y ago
True. Deep learning models will continue to improve as we feed them more data and use more compute, but they will still fail at even very simple tasks as long as the input data are outside their training distribution. The numerous examples
24.
by fsndz 1y ago
why would anyone accept to expose sensitive data so easily with MCP ? also MCP does not make AI agents more reliable, it just gives them access to more tools, which can decrease reliability in some cases: https://medium.com/t
25.
by fsndz 1y ago
true. SAP is more of an entrenched SaaS. Once you have it, the switching costs are too high later on. What an amazing kind of biz. The stickiness is crazy.
26.
by fsndz 1y ago
okay give me the link to a LLM-based system that does not hallucinate then
27.
by fsndz 1y ago
MCP is basically what RAG was 2 years ago.
28.
by fsndz 1y ago
so you are telling me that hallucinations (that by definition happen at the model layer) are an engineering problem ? so if we just spin up the right architecture, hallucinations won't be a problem anymore ? I have doubts
29.
by fsndz 1y ago
the architecture astronauts are back at it again. instead of spending time talking about solutions, the whole AI space is now spending days and weeks talking about fun new architectures. smh https://www.lycee.ai/blog/wh
30.
by fsndz 1y ago
So what is it with MCP? It’s just the latest hype-infused hysteria of the architecture astronauts. And please, “don’t let architecture astronauts scare you.” https://www.lycee.ai/blog/why-mcp-is-mostly-bullshit

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