AI · Developers · Emerging
Lack of clear strategy and accountability in AI development leading to uncertainty and potential negative consequences
The current approach to AI development is perceived as reactive and lacking a structured plan, which raises concerns about its implications.
Who experiences it: Developers
Momentum
0%
Pain
75
Competition
90
Opportunity
57/100
Signals over time
2 observed signals across 1 sources, tracked for 1 days. Confidence: low.
What people are saying Observed
“Regarding the advisory group, OpenAI claims to “have drawn on their advice”, which would include not dumping a bunch of AI slop, with the footnote that if they do do that, at least fund the process of digesting it. At the same time, there's a new note at the bottom of agmai.org stating how they've been in contact with OpenAI about this particular release, and they say that “we consider these discussions constructive, it is ultimately up to the mathematical community to assess the extent to which our recommendations were followed successfully”. So, what's going on there; is this British English for “they didn't follow anything at all”? Because from my perspective, it looks like they doubled down on the Navier–Stokes approach of trying to maximize PR gain while being as lazy as possible about actually contributing anything back to science, releasing only slop that may or may not be correct and may or may not be straight up plagiarism, as has been the case earlier. If I were on the AGMAI board, I'd feel terribly exploited when reading that press release, yet their response is modest. Hairer, if you're reading this: is there any indication whatsoever that ”
Hacker News · frustration
“For a broad enough definition of RSI, the first time we used software to improve hardware to improve software... that's RSI. I prefer the definition of RSI being _autonomous_ improvement that works with zero human input, but whatever. Not important. > I don't think anyone is arguing we should let people starve to slow AI progress, instead just some capitalists make less money soon. Anthropic/OpenAI have literally delayed their IPOs: your wish is granted. If that's not what you're arguing, then please be more specific. > "Build it and Pray" is the default strategy that we're in What would need to happen for you to say we aren't doing "Build it and Pray"? Is "pacing" insufficient?”
Hacker News · frustration
Why now? AI inference
Existing solutions Observed
- Google Cloud AI · Pay-as-you-go, free tier available · complaints: Complex pricing structure, Steep learning curve for new users, Limited support for certain AI frameworks
- Microsoft Azure AI · Pay-as-you-go, free tier available · complaints: Can be expensive for small projects, Documentation can be overwhelming, Occasional performance issues
- IBM Watson · Varies by service, free tier available · complaints: High cost for advanced features, Complex setup process, Limited community support compared to competitors
- Hugging Face · Getting started $20/user/month · Compute $0.60/hour for GPU · complaints: Limited support for non-NLP tasks, Documentation can be lacking in detail, Performance can vary based on model choice
- DataRobot · Custom pricing based on usage · complaints: High cost for small teams, Limited customization options, Can be overwhelming for beginners
Insufficient evidence.
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