“But apt install kept spitting out Unifi errors, so of course I asked Claude to help fix it... and of course I ran the command without bothering to check what it would do...”

“Now there's a planner → checker → revise loop. Plans don't execute until they pass verification.”

“File reads cast spells. Tool calls fire projectiles. Errors spawn enemies that hit Clawd (he recovers! don't worry!), subagents spawn mini clawds.”

“The update eliminates the need for manual configuration in CLAUDE.md, reducing potential 'memory failure accidents.'”

“Cotab considers all open code, edit history, external symbols, and errors for code completion, displaying suggestions that understand the user's intent in under a second.”

“Since the article only references a Reddit post, a relevant quote cannot be determined.”

“The article's content (submitted by /u/reversedu) would contain the key insights. Without the content, a specific quote cannot be included.”

“Yesterday's solved errors need to be researched again from scratch.”

“While a specific quote isn't provided in the prompt, the key takeaway from the article would be focused on methods to recognize when the chatbot is generating false or misleading information.”

“The article likely discusses practical implementations with Python and the usage of Gemini, suggesting actionable steps for data preprocessing.”

“Available first to Claude Max subscribers, the research preview empowers Anthropic's chatbot to handle complex tasks.”

“Dictionaries, by their very nature, are merely tools for humans to temporarily fix meanings. However, the illusion of 'objectivity and neutrality' that their format conveys is the greatest...”

“If you have ever taken a self-driving Uber through downtown LA, you might recognise the strange sense of uncertainty that settles in when there is no driver and no conversation, just a quiet car making assumptions about the world around it.”

“We propose the Error Depth Hypothesis: stronger models make fewer but deeper errors that resist self-correction.”

“Gemini API のマルチモーダル機能を使った実装で、parts配列の構造について複数箇所でハマりました。”

“"AI gives faster answers. But I’ve noticed it also raises new questions: - Can I trust this? - Do I need to verify? - Who’s accountable if it’s wrong?"”

“「提案書」と言えば以下をまとめてくれるので、自然に引き継ぎできる。”

“I am working on building my first workflow following gemini prompts but i only end up with very blurry results. Can anyone help with the settings or anything i did wrong?”

“ChatGPT 5 is a bullshit explosion machine.”

“The model struggled to write unit tests for a simple function called interval2short() that just formats a time interval as a short, approximate string... It really struggled to identify that the output is "2h 0m" instead of "2h." ... It then went on a multi-thousand-token thinking bender before deciding that it was very important to document that interval2short() always returns two components.”

“The user asks: 'Does Claude do the same thing in long conversations? Does it actually hold context better, or does it just fail later? Any differences you’ve noticed between free vs Pro in practice? ... also, how are the limits on the Pro plan?'”

“I'm using Qwen3 vl 8b with llama.cpp to OCR text from japanese artwork, it's the most accurate model for this that i've tried, but it still sometimes gets a character wrong or omits it entirely. I'm sure the correct prediction is somewhere in the top tokens, so if i had access to them i could easily correct my outputs.”

“”

““Over the past two weeks, I’ve been experiencing something unusual with Anthropic’s models, particularly Claude. Tasks that were previously handled in a precise, intelligent, and consistent manner are now being executed at a noticeably lower level — shallow responses, logical errors, and a lack of basic contextual understanding.””

“The SALT3-UV model shows a significant improvement in the UV down to 2000Å, with over a threefold improvement in model uncertainty.”

“R$^2$CCL is highly robust to NIC failures, incurring less than 1% training and less than 3% inference overheads.”

“TG consistently improves efficiency over matched GPT-2 runs, among other baselines, with scaling fits indicating GPT-2 requires ~5-8% more data and ~33-42% more parameters to match TG's loss.”

“The paper shows that the generalization error of DGFMs tends to zero as the number of neurons and the training time tend to infinity.”

“The model achieves 12% median relative error using discovered semantic features from multimodal listing data, substantially outperforming a GPT-5 baseline (38% error).”

“The paper focuses on modifying the damping and shifting schemes used in the original CFFT formulation to reduce boundary errors and improve accuracy and convergence.”

“Full-stack libraries and compilers are the most defect-prone categories due to circuit, gate, and transpilation-related issues, while simulators are mainly affected by measurement and noise modeling errors.”

“gg-Mix assumes only independence between the normal means and variances, without imposing any structural restrictions on their distributions.”

“Preguss enables highly automated RTE-freeness verification for real-world programs with over a thousand LoC, with a reduction of 80.6%~88.9% human verification effort.”

“The CPU time was 5-11 ms for depth doses and fluence spectra at multiple depths. Gaussian beam calculations took 31-78 ms.”

“The proposed methods substantially outperform nuclear-norm-based and non-robust alternatives under heavy-tailed noise and contamination.”

“PINNs run 90,000 times slower than finite difference with larger errors.”

“CoHalLo achieves a Top-1 accuracy of 0.4253, Top-3 accuracy of 0.6149, Top-5 accuracy of 0.7356, Top-10 accuracy of 0.8333, IFA of 5.73, Recall@1% Effort of 0.052721, and Effort@20% Recall of 0.155269, which outperforms the baseline methods.”

“The paper derives an exact semidefinite characterization of nonnegative APS and introduces a derivative-based regularizer that promotes smoothly varying APS profiles while preserving transitions of clusters.”

“CVC rethinks the role of velocity in inter-distribution transformation by introducing a dual-perspective velocity conversion mechanism.”

“CEC-Zero outperforms supervised baselines by 10--13 F$_1$ points and strong LLM fine-tunes by 5--8 points across 9 benchmarks.”

“The paper introduces stationary-reweighted soft FQI, which reweights each regression update using the stationary distribution of the current policy. It proves local linear convergence under function approximation with geometrically damped weight-estimation errors.”

“”

“The bias detector model assigns stronger internal evidence to false positives than to true positives, indicating a misalignment between attribution strength and prediction correctness and contributing to systematic over-flagging of neutral journalistic content.”

“The learned model consistently reduces the discrepancy between quantum and classical solutions beyond what is achieved by ZNE alone.”

“”

“The paper's core finding is that every circuit-level Pauli error in these protocols propagates to a Clifford error at the end, enabling efficient simulation.”

“The paper develops a dynamic CKM construction method for multiple-input multiple-output orthogonal frequency division multiplexing (MIMO-OFDM) systems.”

“In dense stellar fields, an increase in false positive identifications can be expected. For systems with large proper motion, there is a high probability of a false negative outcome.”

“A last-layer Laplace approximation yields uncertainty estimates that correlate well with segmentation errors, indicating a meaningful signal.”

“CEM significantly improves generation fidelity of existing acceleration models, and outperforms the original generation performance on FLUX.1-dev, PixArt-$α$, StableDiffusion1.5 and Hunyuan.”