timini

4 ms·

1.
An RNA Sequence Is Not a Molecular State: RNA Foundation Models in 2026(rewire.it)
1 points by timini 11d ago|0 comments
2.
by timini 3mo ago
The inverse of grill-me: instead of Claude extracting what you know, it teaches you what it knows. It quizzes before it explains, schedules reviews with a simplified FSRS and can drill you on any topic, a document, or your own codebase
3.
by timini 7mo ago
clearly this is a plat to own all the agent traces for further training
4.
by timini 7mo ago
clearly this is a play to own all the agentic traces for further training
5.
Evaluating Control Protocols for Untrusted AI Agents(arxiv.org)
1 points by timini 11mo ago|1 comments
6.
by timini 11mo ago
This paper evaluates three control strategies for untrusted agents: deferral to trusted models, resampling, and critical action deferral. Initial testing showed resampling and critical action deferral achieving 96% safety. However, adversar
7.
HaluMem: Evaluating Hallucinations in Memory Systems of Agents(arxiv.org)
2 points by timini 11mo ago|1 comments
8.
by timini 11mo ago
HaluMem introduces the first benchmark for evaluating hallucinations in agent memory systems at the operation level. Through three evaluation tasks (memory extraction, updating, and question answering), it reveals that existing memory syste
9.
The OpenHands Software Agent SDK: Composable and Extensible(arxiv.org)
1 points by timini 11mo ago|1 comments
10.
by timini 11mo ago
OpenHands SDK provides a complete architectural redesign for building production software development agents. It balances simplicity (few lines of code for basic agents) with extensibility (custom tools, memory management) while delivering
11.
by timini 11mo ago
not sure there are any agents yet but there are some research like https://arxiv.org/abs/2510.15103
12.
by timini 11mo ago
judging by this article, no
13.
Why Foundation Models in Pathology Are Failing(rewire.it)
10 points by timini 11mo ago|1 comments
14.
ReasoningBank Explained: How AI Agents Are Finally Learning to Remember(rewire.it)
3 points by timini 11mo ago|0 comments
15.
Using Embedding Models to Predict Sentence Complexity(rewire.it)
1 points by timini 11mo ago|0 comments
16.
The Geometry of Grammar: Interpretable Dimensions in Word Embeddings(rewire.it)
2 points by timini 11mo ago|0 comments
17.
Beyond 'I Think, Therefore I Am': The Silence Between Your Thoughts(rewire.it)
9 points by timini 11mo ago|0 comments
18.
From Structure to Function: AlphaFold's Evoformer Embeddings for Downstream AI(rewire.it)
3 points by timini 11mo ago|1 comments
19.
The Embedding Dilemma: Why Your RAG Fails and How to Think in Chunks(rewire.it)
7 points by timini 11mo ago|0 comments
20.
Using Embedding Models to Predict Sentence Complexity(rewire.it)
3 points by timini 11mo ago|0 comments
21.
Dynamic Tool Allocation for AI Agents (The Rats Pattern)(rewire.it)
1 points by timini 11mo ago|1 comments
22.
by timini 11mo ago
TL;DR Problem: "Tool overload" is a critical bottleneck for AI agents. Providing an LLM with a large, static list of tools bloats the context window, degrading performance, increasing costs, and reducing accuracy. Solution: Implem
23.
by timini 3y ago
I think its fairly simple, it needs a certain level of proof e.g references to authoritative sources, if not say "i don't know".
24.
by timini 3y ago
did you get paid to make this?
25.
by timini 4y ago
The biggest issue with node.js was the terrible package manager. Looks like Deno is gonna make all the same mistakes.
26.
ChatCoach – GTP-4 enabled life coaching(chatcoach.life)
2 points by timini 4y ago|3 comments
27.
by timini 4y ago
Just threw this together, trying to get some feedback on what i can do to improve / add more value?
28.
CoachChat – A GPT-4 Career Coaching Chatbot(coachchat.vercel.app)
3 points by timini 4y ago|3 comments
29.
by timini 4y ago
Just threw this together last night with GPT-4 API. Any feedback / suggestions greatly appreciated@
30.
by timini 4y ago
Just threw together this chatbot for life coaching / career coaching

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