“Running this at 5K RPS with sub-microsecond overhead now. The concurrency primitives in Go made this way easier than Python would've been.”

“A key takeaway from the discussion would highlight the importance of balancing AI's capabilities with human expertise and ethical considerations within the healthcare context. (This is a predicted quote based on the title)”

“The U.S. may allow shipments of rather powerful AI processors to China on a case-by-case basis, but with the U.S. supply priority, do not expect AMD or Nvidia ship a ton of AI GPUs to the People's Republic.”

“This is how to drive business growth and innovation by merging analytics and AI with human understanding and insights.”

“調べてみたところ、~/.gemini/antigravity/browser_recordings以下に「会話ごとに作られたフォルダ」があり、その中に大量の画像ファイル（スクリーンショット）がありました。これが犯人でした。”

“Integrating AI into code review workflows allows engineering leaders to detect systemic risks that often evade human detection at scale.”

“”

“Samsung updates its TVs to add new AI features, including a Sound Controller feature to independently adjust the volume of dialogue, music, or sound effects”

“Is it a better investment of time to study specifically for the certification, or should I ignore the exam and focus entirely on building projects?”

“奥特曼正骑着独轮车，手里抛接着越来越多的球 (Altman is riding a unicycle, juggling more and more balls).”

“The developer's question: "Is this reckless long term? Or is this just what solo development looks like now if you’re disciplined about sc"”

“I am relatively new to coding, and only working on relatively small projects... Using the console/powershell etc for pretty much anything just intimidates me... So generally I just upload all my code to txt files, and then to a project, and this seems to work well enough. Was thinking of maybe setting up a GitHub instead and using that integration. But am I missing out? Should I bit the bullet and embrace Claude Code?”

“"When I ask it simple questions, it just can't help but personalize the response."”

“I am using hyperstack right now and it's much more convenient than Runpod or other GPU providers but the downside is that the data storage costs so much. I am thinking of using Cloudfare/Wasabi/AWS S3 instead. Does anyone have tips on minimizing the cost for building my own Gemini with GPU providers?”

“Deep Learning new regularization submitted by /u/Long-Web848”

“The paper highlights the importance of coordinated time-power optimization in balancing sensing accuracy and communication performance in wireless powered ISAC systems.”

“The paper demonstrates that there is a saturation point for inference-time compute. Beyond a certain threshold, accuracy gains diminish.”

“The avalanche multiplication factor is sufficiently high ($G_ ext{av} \approx 1.3 \cdot 10^5$) to convert a mere 5.5 A seed current into macroscopic RE beams of $\approx 0.7$ MA when large amounts of impurities are present.”

“The paper's core contribution is the multi-objective optimization framework using NSGA-II to generate a Pareto front of trade-off solutions, allowing for a balanced compromise between competing fairness criteria.”

“HMP-DRL consistently outperforms other methods, including state-of-the-art approaches, in terms of key metrics of robot navigation: success rate, collision rate, and time to reach the goal.”

“BC-TAS achieves orders-of-magnitude improvement in outage probability and significant gains in energy efficiency compared to conventional MU-MIMO baselines.”

“The paper's key finding is the effectiveness of the proposed framework in reducing semantic leakage to eavesdroppers without significantly degrading performance for legitimate receivers, especially through the use of adversarial perturbations.”

“The author wants to approve actions unless they pose security or environmental risks, but doesn't want to completely disable permissions checks.”

“The study demonstrates the feasibility of anatomically realistic $μ$FE simulations at this scale, with models containing over $8\times10^{8}$ DOFs.”

“Using n = 3 examples best balances architectural diversity and context focus for vision tasks.”

“LoongFlow outperforms leading baselines (e.g., OpenEvolve, ShinkaEvolve) by up to 60% in evolutionary efficiency while discovering superior solutions.”

“HyperGRL delivers superior representation quality and generalization across diverse graph structures, achieving average improvements of 1.49%, 0.86%, and 0.74% over the strongest existing methods, respectively.”

“The Composite Reliability Score (CRS) delivers stable model rankings, uncovers hidden failure modes missed by single metrics, and highlights that the most dependable systems balance accuracy, robustness, and calibrated uncertainty.”

“The LLM often generates incorrect answers instead of declining to respond, which constitutes a major source of error.”

“IAFS effectively resolves the perception-fidelity conflict, yielding consistently improved perceptual detail and structural accuracy, and outperforming existing inference-time scaling methods.”

“LRH reduces Max/Avg load from 1.2785 to 1.0947 and achieves 60.05 Mkeys/s, about 6.8x faster than multi-probe consistent hashing with 8 probes (8.80 Mkeys/s) while approaching its balance (Max/Avg 1.0697).”

“SoulX-LiveTalk is the first 14B-scale system to achieve a sub-second start-up latency (0.87s) while reaching a real-time throughput of 32 FPS.”

“Splitwise reduces end-to-end latency by 1.4x-2.8x and cuts energy consumption by up to 41% compared with existing partitioners.”

“'homie I just said what’s up’ —I don’t know what kind of fucking inception we’re living in right now but like I just said what’s up — are YOU OK?”

“The proposed framework significantly improves the accuracy of semantic understanding and computational efficiency in tasks including image captioning and cross-modal retrieval.”

“What has your experience been with using q8 KV cache and a vision model? Would you say it’s good enough or does it ruin outputs?”

“FLEX-MoE introduces client-expert fitness scores that quantify the expert suitability for local datasets through training feedback, and employs an optimization-based algorithm to maximize client-expert specialization while enforcing balanced expert utilization system-wide.”

“Contrary to the intuition that higher distribution entropy facilitates effective exploration, we find that imposing a precision-oriented prior yields a superior exploration space for RL.”

“Keeping the conversation structure visible, allowing branching and merging, and suggesting patterns or ways to combine ideas deepened user reflective engagement.”

“VACP achieves 89.7 percent empirical coverage (90 percent target) while reducing the mean prediction set size from 847 tokens to 4.3 tokens -- a 197x improvement in efficiency.”

“I am looking for something flexible and practical that helps me build real projects that I can eventually put on my resume or use at work.”

“I've heard that pytorch has support for M-Series GPUs via mps but was curious what the performance is like for people have experience with this?”

“Results demonstrate how learned attack policies disrupt load balancing and induce voltage instabilities that propagate across T and D boundaries.”

“I'm assuming the repeat is because of some increased model context to chat history, which is on the whole a good thing, but this repetition is a waste of time/tokens.”

“The paper proposes rules for rebalancing that gate trades through magnitude-based thresholds and posterior activation probabilities, thereby trading off expected tracking error against turnover and portfolio size.”

“Grok did exactly what Elon asked it to do. Is it a good thing that it's obeying orders without question?”

“"Intellectual neutrality" and "financial self-sufficiency" are troubling both sides.”

“The methodology effectively balances the exploration-exploitation trade-off in multi-objective optimization.”

“LMSF-A is highly competitive (or even better than) in all evaluation metrics and much lighter than most instance segmentation methods requiring only 1.8M parameters and 8.8 GFLOPs.”

“Through the joint vehicle engineering capabilities of the host plant, ZhiTu imports technology into real operating scenarios and continues to verify the reliability and commercial value of its solutions in high and low-speed scenarios such as trunk logistics, urban sanitation, port terminals, and unmanned logistics.”