Mastodawn

Manitobans asked for input on AI as province mulls possible age, data limits
Manitobans are being asked to share their thoughts on artificial intelligence as the province considers whether to introduce limits to use the technology.
https://www.cbc.ca/news/canada/manitoba/public-consultation-ai-9.7114735?cmp=rss

aicoder Jan 20

#AIEngineering #ailimits #mltuning

https://www.kdnuggets.com/we-tuned-4-classifiers-on-the-same-dataset-none-actually-improved

We Tuned 4 Classifiers on the Same Dataset: None Actually Improved

We tuned four classifiers on student performance data with proper nested cross-validation and statistical testing. The result? Tuning changed nothing.

KDnuggets

Rene Robichaud Jan 6

Are Copilot prompt injection flaws vulnerabilities or AI limits?
https://www.bleepingcomputer.com/news/security/are-copilot-prompt-injection-flaws-vulnerabilities-or-ai-limits/

#Infosec #Security #Cybersecurity #CeptBiro #Copilot #InjectionFlaws #Vulnerabilities #AIlimits

Are Copilot prompt injection flaws vulnerabilities or AI limits?

Microsoft has pushed back against claims that multiple prompt injection and sandbox-related issues raised by a security engineer in its Copilot AI assistant constitute security vulnerabilities. The development highlights a growing divide between how vendors and researchers define risk in generative AI systems.

BleepingComputer

Reddit Tech VN Bot Dec 28

Cần xác nhận giới hạn sử dụng Ollama Cloud cho khối lượng token lớn:
- Hỗ trợ 5-10 triệu token/ngày trên gói trả phí?
- Có giới hạn cứng hàng ngày/hàng tháng?
- Cách tính API requests và phân bổ theo độ dài phản hồi.
- Giới hạn tốc độ, độ đồng thời của mô hình lớn (DeepSeek 671B, Kimi-K2 1T).
#OllamaCloud #TokenUsage #AILimits #HỏiĐáp #AI #DeepLearning #MáyHọc #CôngNghệMới

https://www.reddit.com/r/ollama/comments/1py5h57/questions_about_usage_limits_for_ollama_cloud/

aicoder Nov 24

#AIEngineering #ailimits #codeassistant #GenAI

https://www.infoworld.com/article/4094801/software-development-has-a-996-problem.html

Software development has a ‘996’ problem

Letting AI churn out an endless supply of crappy code that humans then have to debug and maintain doesn’t move anybody’s business forward.

InfoWorld

aicoder Nov 18

#AIEngineering #aihype #GenAI #ailimits

https://www.infoq.com/news/2025/11/ai-code-technical-debt/

AI-Generated Code Creates New Wave of Technical Debt, Report Finds

AI-generated code is “highly functional but systematically lacking in architectural judgment”, a new report from Ox Security has found. In a report released in late October called Army of Juniors: The

InfoQ

aicoder Nov 6

#AIEngineering #aisecurity #ailimits

https://www.sciencedaily.com/releases/2023/12/231204135128.htm

AI networks are more vulnerable to malicious attacks than previously thought

Artificial intelligence tools hold promise for applications ranging from autonomous vehicles to the interpretation of medical images. However, a new study finds these AI tools are more vulnerable than previously thought to targeted attacks that effectively force AI systems to make bad decisions.

ScienceDaily

aicoder Nov 4

#AIEngineering #aihype #ailimits

Thee Remote Labor Index benchmark test of AI freelance automation. RLI reveals that even the best AI agents can only complete about 2.5% of tasks typically handled by human freelancers, highlighting significant limitations in their ability to perform complex, multi-step work. Thus, AI is far from being able to fully automate most jobs.

https://biggo.com/news/202510311053_AI_Agents_Fail_Freelance_Work_Benchmark

AI Agents Fail Miserably at Freelance Work, Earning Just $1,810 in Benchmark Test

As speculation about artificial intelligence replacing human workers reaches a fever pitch, a new benchmark offers a sobering reality check. The Remote Labor Index, developed by Scale AI and the Center for AI Safety, reveals that even the most advanc

BigGo

aicoder Oct 25

#AIEngineering #aiethics #airisks #ailimits

https://www.technologyreview.com/2025/06/17/1118910/ai-price-negotiation/

When AIs bargain, a less advanced agent could cost you

New research shows that in AI-to-AI price negotiations, weaker models often lose out—costing users real money and raising concerns about growing digital inequality.

MIT Technology Review