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Hacker News AILLMs

"We can't ask AI, it lies" vs. "Here is my superpower prompt"

Article URL: https://alanbuxton.wordpress.com/2026/07/03/we-cant-ask-ai-it-lies-vs-here-is-my-superpower-prompt/ Comments URL: https://news.ycombinator.com/item?id=48773322 Points: 2 # Comments: 0

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Hacker News AILLMs

AI Art as Curation

Article URL: https://blog.andymasley.com/p/ai-art-as-curation Comments URL: https://news.ycombinator.com/item?id=48773133 Points: 2 # Comments: 0

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AI NewsBusiness

Takeda signs $600M AI drug discovery deal with Insilico

Takeda has entered a strategic collaboration with Hong Kong-based Insilico Medicine to use AI in early-stage drug discovery across the Japanese pharmaceutical company’s therapeutic areas. The companies did not disclose which therapeutic areas or disease targets will be covered under the collaboration. The agreement gives Takeda access to Insilico’s Pharma.AI platform, which supports biological target […] The post Takeda signs $600M AI drug discovery deal with Insilico appeared first on AI News .

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Takeda signs $600M AI drug discovery deal with Insilico
Hacker News AILLMs

A B2B marketing agency grew to $1.5M ARR in 6 months by betting on AI

I run GrowthSpree, a B2B SaaS marketing agency, selling into the US and Europe. Six months ago we made a bet that the agency model itself was broken for the AI era, so we tore ours down and rebuilt it. This is what we did and what actually happened. The bet: become the first truly AI-native marketing agency. Not an agency that "uses AI tools" by bolting ChatGPT onto a 2015 workflow, but one where AI is wired into how we find demand, win clients, and run delivery. We rebuilt the operating model,

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r/MachineLearningResearch

What does "Safe AI" look like? [D]

<!-- SC_OFF --><div class="md"><p>​</p> <p>For open-weight LLMs, how practical is it to study defenses against post-release fine-tuning that weakens refusal or safety behavior?</p> <p>I've been seeing “uncensored” or “heretic” variants of new models appear very quickly after release, which raises a question I’m curious about: is fine-tuning resistance a meaningful safety goal for open-weight releases, or is it too narrow because determined users can always modify weights, switch models, or use o

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MIT Tech ReviewResearch

The UK’s generational tobacco ban might not work. I’m supporting it anyway.

As the parent of two little girls, I often think about how their childhood is different from mine. The seven-year-old is learning about AI at school. The five-year-old is given internet-based homework every week. And they are both absolutely repulsed by the idea of smoking. That was not the prevailing sentiment when I was young.…

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Hacker News: Show HN

Show HN: Scopewalker, an MCP server for codebase complexity metrics

AI agents will happily create 1000+ line source files and add a 20th parameter to a function call, even if there's a rule file telling them not to. So I built Scopewalker: a local MCP server (open source, runs over stdio, and makes no network calls) that gives agents actual numbers to check against. It gives the agent 8 read-only tools: line counts, cognitive complexity/nesting/parameter counts, an oversized-file/function checker against configurable thresholds, doc coverage, code smell detectio

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Hacker News AILLMs

The Day I Played Hide-and-Seek with an AI

Article URL: https://medium.com/@gianlucabailo/the-day-i-played-hide-and-seek-with-an-ai-7a1ee189b5ff Comments URL: https://news.ycombinator.com/item?id=48771783 Points: 2 # Comments: 1

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Dev.to

Developing a Practical, Ethical Web/AppSec Learning Platform for Modern Vulnerabilities and Patterns

<h2> Introduction: The Need for Modern Web/AppSec Training </h2> <p>The cybersecurity landscape is evolving at a breakneck pace, but the tools we use to train the next generation of defenders are stuck in the past. Most web/appsec learning platforms still focus on <strong>basic, textbook vulnerabilities</strong>—XSS popups, simple SQL injection, or trivial IDORs. These labs are like teaching someone to swim in a kiddie pool; they might grasp the concept, but they’re <em>ill-prepared for the open

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Hacker News AILLMs

Show HN: Opplic AI growth employees for web agencies

Hi HN,I am building opplic.com an AI employee that you can hire for each of your client. The idea is simple, if you are an agency and managing 10 clients it becomes hectic to manage all if you are doing alone, you might need to hire a SEO guy but wait, 90k per anuum for a single guy !? Think if you want to hire one for each that's almost a million. Here's where opplic comes into picture, Instead of generating random marketing ideas, Opplic continuously learns each client's website, business, ser

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Dev.to

Has AI Changed the Way You Approach Software Architecture?

<p>Over the past year, AI has become part of many developers' daily workflow. It can generate code, explain unfamiliar frameworks, review pull requests, and even suggest architectural patterns.</p> <p>But I've noticed that the biggest impact isn't on writing code faster. It's on how we think about software architecture.</p> <p>With AI handling repetitive implementation tasks, it feels like architects and senior engineers are spending more time on system design, scalability, security, integration

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Hacker News: Show HN

Show HN: Warmbly – Automate cold email outreach

I’ve been working on this for just a year, mostly with hand coding. I only started using agents in the last few months. It’s not fully finished yet, but the waitlist is open now. I’m giving 80% off for the first three months to everyone who joins the waitlist. Really hope to see your reviews and hear what you think! Comments URL: https://news.ycombinator.com/item?id=48771562 Points: 1 # Comments: 0

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Dev.to

The biggest barrier to enterprise AI adoption isn't the model. It's trust in everything around it.

<h2> The trust problem nobody scopes correctly </h2> <p>When companies talk about trust in AI, they almost always mean trust in the model. Is the output accurate? Is it hallucinating? Can we rely on what it says?</p> <p>Those are valid questions but they're the wrong starting point. The trust that actually determines whether AI gets adopted or quietly abandoned inside an organization isn't about the model. It's about the system surrounding it.</p> <h2> The four questions that determine </h2> <p>

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Hacker News Ask

Ask HN: Is anyone experimenting with different ways of using LLMs for coding?

I'm a bit annoyed by the feeling that we're kind of stuck when it comes to using LLMs for programming. I use Claude Code and Codex, but I haven't been able to enter flow state like I can when I hand write code. This is kind of ironic to me since AI should be a bicycle for the mind, but right now it feels like a bicycle that just brakes abruptly every couple minutes. I stop, wait, review, prompt again. Is there anyone exploring something fundamentally different than the prompt response loop we ha

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Hacker News AILLMs

Understanding AI with Soumitra Dutta

Article URL: https://soumitradutta.gt.tc Comments URL: https://news.ycombinator.com/item?id=48771271 Points: 1 # Comments: 0

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Hacker News AILLMs

AI is punishing game developers [video]

Article URL: https://www.youtube.com/watch?v=59XdUJRzRxc Comments URL: https://news.ycombinator.com/item?id=48771229 Points: 1 # Comments: 0

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Hacker News AILLMs

I still enjoy building websites without AI

Article URL: https://alprado.com/blog/i-still-enjoy-building-websites-without-ai/ Comments URL: https://news.ycombinator.com/item?id=48771003 Points: 4 # Comments: 1

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Hacker News: Show HN

Show HN: WyrmRSS – a self-hosted RSS reader with inline YouTube

I'm a software engineer and have been working on this for a couple of months, for fun, and thought I'd share it. If you try it, let me know, I'd be stoked! I was inspired by a friend who wanted to escape the algorithms and had built a small, private reader for himself. He wasn't sure he'd ever release it, so I built my own. It's yet another self-hosted RSS reader, I know. I've been trying to build things like inline YouTube (with filters to drop Shorts and live streams) and webhooks into the cor

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Hacker News Ask

AskHN: Using 'claude -p' for running Mr.Jassy - AWS butler agent

I am trying to setup Mr.Jassy as a Slackbot app. I want Mr. Jassy to be our personal AWS butler. Mr.Jassy has access to AWS resources in read only and can help the team answer questions. The way its setup now is that I run 'claude -p' from inside a lambda and is invoked by slack events. Is this the right approach or is there a better way to do this? I also maintain thread context by resuming a previous session. Comments URL: https://news.ycombinator.com/item?id=48770691 Points: 2 # Comments: 0

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Hacker News AILLMs

How to avoid AI in as many places as possible

Article URL: https://www.fastcompany.com/91566861/how-to-avoid-ai-in-as-many-places-as-possible Comments URL: https://news.ycombinator.com/item?id=48770606 Points: 6 # Comments: 1

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arXiv cs.CL (NLP)Research

TokenScope: Token-Level Explainability and Interpretability for Code-Oriented Tasks in Large Language Models

arXiv:2607.01235v1 Announce Type: new Abstract: Understanding how Large Language Models (LLMs) make token-level decisions during code generation remains a major challenge for both researchers and practitioners. While recent tools provide insights into model internals or generation outcomes, they often lack decoding-time signals, fine-grained uncertainty measures, and interactive mechanisms for exploring alternative generation paths. We present TokenScope, an interactive interpretability and anal

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arXiv cs.CL (NLP)Research

Safeguarding LLM Agents from Misalignment through Provenance Analysis

arXiv:2607.01236v1 Announce Type: new Abstract: As LLM agents gain increasing access to powerful tools, ensuring that their actions are aligned with the user's intent becomes critical. When an agent's proposed tool invocation deviates from the user's intent -- a phenomenon called misalignment -- it may lead to harmful consequences that are difficult to undo. Existing runtime guardrails rely on an LLM-as-a-judge paradigm that lacks a systematic framework for reasoning about alignment, often produ

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arXiv cs.CL (NLP)Research

Kara: Efficient Reasoning LLM Serving via Sliding-Window KV Cache Compression

arXiv:2607.01237v1 Announce Type: new Abstract: Reasoning language models often generate long chain-of-thought (CoT), which accumulates a massive KV cache during the decoding phase and incurs high decoding latency and limited throughput. To address these issues, KV cache compression has emerged as a promising technique for reducing memory overhead by selectively removing unimportant KV pairs while preserving useful ones for subsequent decoding. Nevertheless, we identify two key limitations in ex

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arXiv cs.CL (NLP)Research

Breaking Safety at the Token Boundary: How BPE Tokenization Creates Exploitable Gaps in LLM Alignment

arXiv:2607.01239v1 Announce Type: new Abstract: Character-level perturbations bypass safety alignment in modern LLMs despite leaving prompts human-readable. We identify and test a central structural mechanism: BPE tokenization fragments safety-critical words into sub-word pieces, and the three public alignment datasets we surveyed contain no intentionally fragmented inputs. The mechanism is a chain, tested end-to-end on five model families (Qwen-3-4B, Qwen-2.5-7B, Gemma-3-4B, Llama-3.1-8B, Mistr

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