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Article URL: https://ethang.dev/courses

Comments URL: https://news.ycombinator.com/item?id=47176060

Points: 1

# Comments: 1

Hi HN,

I’ve been working on a project to solve a problem I had with mock interview platforms: they don’t feel real. The biggest factor is that they let you give perfect, rehearsed answers without interruption. Real interviews are dynamic conversations.

I created CleverMock, an AI-powered voice interviewer for software engineers. The core differentiator is a feature that simulates a real interviewer's behavior by interrupting the user's answers to ask clarifying questions or redirect the conversation, based on what it's hearing.

It uses a pipeline of speech-to-text, LLMs for conversational logic, and text-to-speech to create a fluid, real-time interview session. You can specify the company and role to get tailored system design and behavioral questions. After a 45-minute session, it generates a detailed scorecard on your performance.

It’s currently in beta and free for early users. I’m looking for feedback on the core "interruption" mechanic and the quality of the questions/feedback.

Link: https://www.clevermock.com

Comments URL: https://news.ycombinator.com/item?id=47176043

Points: 2

# Comments: 2

Article URL: https://www.theguardian.com/society/2022/jan/30/im-really-just-high-on-life-and-beauty-the-woman-who-can-see-100-million-colours

Comments URL: https://news.ycombinator.com/item?id=47176023

Points: 1

# Comments: 0

Article URL: https://www.scientificamerican.com/article/strange-special-relativity-effect-observed-for-the-first-time/

Comments URL: https://news.ycombinator.com/item?id=47176015

Points: 1

# Comments: 0

Article URL: https://agora.eto.tech/instrument/1740

Comments URL: https://news.ycombinator.com/item?id=47176006

Points: 1

# Comments: 0

I built Resume Rescue AI after seeing the massive volume of technical talent catching the current layoff wave (Amazon, Salesforce, WiseTech, etc.). Top-tier engineers are getting ghosted by ATS filters before a human ever sees their accomplishments. We use proprietary AI specifically trained on elite tech resumes to ensure you beat the ATS and hyper-quantify your impact. 24-hour turnaround guaranteed.

Comments URL: https://news.ycombinator.com/item?id=47175994

Points: 1

# Comments: 0

Here are the answers for The New York Times Mini Crossword for Feb. 27.

Article URL: https://www.kansascity.com/news/politics-government/article314844596.html

Comments URL: https://news.ycombinator.com/item?id=47175770

Points: 1

# Comments: 0

Article URL: https://www.wsj.com/health/wellness/more-americans-under-55-are-dying-of-severe-heart-attacks-12d5b326

Comments URL: https://news.ycombinator.com/item?id=47175751

Points: 2

# Comments: 0

Quick context: I'm building background job automation and keep hitting this pattern:

1. Job calls external API (Stripe, SendGrid, AWS) 2. API call succeeds 3. Job crashes before recording success 4. Job retries → calls API again → duplicate

Example: process refund, send email notification, crash. Retry does both again. Customer gets duplicate refund email (or worse, duplicate refund).

I see a few approaches:

Option A: Store processed IDs in database Problem: Race between "check DB" and "call API" can still duplicate

Option B: Use API idempotency keys (Stripe supports this) Problem: Not all APIs support it (legacy systems, third-party)

Option C: Build deduplication layer that checks external system first Problem: Extra latency, extra complexity

What do you do in production? Accept some duplicates? Only use APIs with idempotency? Something else?

(I built something for Option C, but trying to understand if this is actually a common-enough problem or if I'm over-engineering.)

Comments URL: https://news.ycombinator.com/item?id=47175746

Points: 1

# Comments: 0

Article URL: https://dholms.leaflet.pub/3mfrsbcn2gk2a

Comments URL: https://news.ycombinator.com/item?id=47175730

Points: 1

# Comments: 1

Article URL: https://ordain.art

Comments URL: https://news.ycombinator.com/item?id=47175726

Points: 1

# Comments: 1

Article URL: https://www.msn.com/en-us/news/us/denver-mayor-announces-executive-order-banning-ice-from-city-property/ar-AA1X9wiZ

Comments URL: https://news.ycombinator.com/item?id=47175714

Points: 2

# Comments: 1

Article URL: https://www.daniellitt.com/blog/2026/2/20/mathematics-in-the-library-of-babel

Comments URL: https://news.ycombinator.com/item?id=47175698

Points: 1

# Comments: 0

Article URL: https://dholms.leaflet.pub/3meluqcwky22a

Comments URL: https://news.ycombinator.com/item?id=47175691

Points: 2

# Comments: 0

Hey HN,

The current paradigm of agentic frameworks (LangChain, AutoGPT) relies on prompting LLMs and parsing conversational text strings to decide the next action. This works for simple tasks but breaks down for complex reasoning because it treats the agent's mind like a scrolling text document.

As research shifts toward Joint Embedding Predictive Architectures (JEPAs) and World Models, we hit an orchestration bottleneck. JEPAs don't output text; they output abstract mathematical tensors representing a predicted environmental state. Traditional text-based frameworks crash if you try to route a NumPy array.

We built Lar-JEPA as a conceptual testbed to solve this. It uses the Lár Engine,a deterministic, topological DAG ("PyTorch for Agents") to act as the execution spine. Key Features for Researchers: Mathematical Routing (No Prompting): You write deterministic Python RouterNodes that evaluate the latent tensors directly (e.g., if collision_probability > 0.85: return "REPLAN"). Native Tensor Logging: We custom-patched our AuditLogger with a TensorSafeEncoder. You can pass massive PyTorch/NumPy tensors natively through the execution graph, and it gracefully serializes them into metadata ({ "__type__": "Tensor", "shape": [1, 768] }) without crashing JSON stringifiers. System 1 / System 2 Testing: Formally measure fast-reflex execution vs. deep-simulation planning. Continuous Learning: Includes a Default Mode Network (DMN) architecture for "Sleep Cycle" memory consolidation.

We've included a standalone simulation where a Lár System 2 Router analyzes a mock JEPA's numerical state prediction, mathematically detects an impending collision, vetoes the action, and replans—all without generating a single word of English text. Repo: https://github.com/snath-ai/Lar-JEPA Would love to hear your thoughts on orchestration for non-autoregressive models.

Comments URL: https://news.ycombinator.com/item?id=47175679

Points: 1

# Comments: 0

Article URL: https://www.platformer.news/anthropic-pentagon-authoritarian-ai/

Comments URL: https://news.ycombinator.com/item?id=47175666

Points: 2

# Comments: 0

Article URL: https://nesbitt.io/2026/02/26/git-in-postgres.html

Comments URL: https://news.ycombinator.com/item?id=47175639

Points: 1

# Comments: 0

Article URL: https://github.com/jmcorgan/fips

Comments URL: https://news.ycombinator.com/item?id=47175637

Points: 1

# Comments: 0

Article URL: https://www.bloomberg.com/news/articles/2026-02-27/pentagon-laser-shoots-down-customs-border-patrol-drone-in-texas

Comments URL: https://news.ycombinator.com/item?id=47175612

Points: 5

# Comments: 3