2,543 karma · joined August 15, 2007
Otherwise it might be more or less the same as using https://github.com/TheR1D/shell_gpt ?
The question is, is it possible to make reasoning models generic and can they be combined with large language models effectively.
Humans can suddenly "jump" cognitive levels to see higher-order patterns. Gödel seeing that mathematics could describe mathematics itself. This isn't combining existing patterns, but seeing entirely new levels of abstraction.
The human brain excels at taking complex systems and creating simpler mental models. Newton seeing planetary motion and falling apples as the same phenomenon. This compression isn't recombination - it's finding the hidden simplicity.
Recombination adds elements together. Insight often removes elements to reveal core principles. This requires understanding and reasoning.
Large language models excel at processing and generating text, but they fundamentally operate on existing knowledge. Their creativity appears limited to recombining known information in novel ways, rather than generating truly original insights.
True reasoning capability would involve the ability to analyze complex situations and generate entirely new solutions, independent of existing patterns or combinations. This kind of deep reasoning ability seems to be beyond the scope of current language models, as it would require a fundamentally different approach—what we might call a reasoning model. Currently, it's unclear to me whether such models exist or if they could be effectively integrated with large language models.
Example: https://zuidas.nl/wp-content/uploads/2021/03/groenstrook-bee...
According to Claude 3.5, ledger/hledger handles that situation like this:
; Automatically allocate $60 quarterly phone bill across 3 months
~ monthly
Expenses:Phone $20
Liabilities:Accrued $-20
; When actual bill comes
2023-09-15 Phone Company
Liabilities:Accrued $60
Assets:Bank $-60
This approach:1. Accrues monthly portions ($20) to a liability account
2. When the real bill arrives, clears the accrued amount
I am aware of this problem. The approach in the blog post definitely helps with that because the data is imported fresh every time again. So you could export your bank data with overlapping dates and do something like this prior to importing:
cat *.csv | sort | uniq >clean.csvhttps://www.google.com/search?q="pol.is"+graph&udm=2&uact=5&...
Actually there are more interesting parallels to be found between Trump and Mussolini:
- Both displayed arrogant ignorance and avoided in-depth conversations
- Shared a tendency to appear knowledgeable rather than actually being knowledgeable
- Demonstrated hostility toward the press
- Appointed family members to high government positions
- Exhibiting thin-skinned reactions to criticism
- Showing contempt for experts and professionals
- Took credit for successes while blaming others for failures
- Working with existing nationalist movements
- Attacking democratic institutions as "enemies of the people"
But I don't think that would not derail the discussion. Pretty much any comparison with a dictator leads to painful discussion.
The question is, how would it even be possible to address this in a constructive way. I honestly don't know.
1. Create a list of accounts you want to follow at https://x.com/<your_username>/lists
2. Bookmark your list instead of the main feed
3. Optional: Use a browser extension to auto-redirect to your list
Result: A chronological feed without algorithmic interference.
Funny that's my favourite aspect of Odin's syntax.
p: ^int
Easy on the eyes.I also like the convention of the type on the left and its usage on the right:
p: ^int // ^ on the left
x := p^ // ^ on the right
Very similar to languages of the Pascal family, but less verbose.And with structs:
p^.x // not necessary
p.x // this will doMe too; that's also the reason why I wanted that possibility back.
H-Factors ( http://amundsen.com/hypermedia/hfactor/ ) have also been useful to me in the past for the same reasons.