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Property-Based Testing

Hacker News - Mon, 06/08/2026 - 11:15am

Article URL: https://tybug.dev/property-testing/

Comments URL: https://news.ycombinator.com/item?id=48446454

Points: 1

# Comments: 0

Categories: Hacker News

Show HN: Levi – run AlphaEvolve on your Claude Code/Codex for dirt cheap

Hacker News - Mon, 06/08/2026 - 11:12am

Hi HN,

Wanted to share something I'm excited about.

I’ve been fascinated by AlphaEvolve and its results for more than a year now, but using open source frameworks seems overwhelming because of the high costs. I can’t really afford hundreds of Claude Opus calls every time I want to run it. I want to be able to try it out many times and all sorts of unique domains. What if it was possible for AlphaEvolve to be much more affordable while getting a better performance? .

Over the last six months or so, I’ve been working on LEVI, an open source AlphaEvolve-like system that can outperform existing open source frameworks at a fraction of the cost (upto 35x cheaper!). It can also run on Claude Code or Codex, making it even more accessible (I've mostly been using it with a QWEN-30B). LEVI comes in two flavors where I felt it’ll make the most difference: Code Optimization, and Prompt Optimization (sorry math, you got a less direct path; workable through the code route).

The core thesis behind LEVI is that with the right search architecture, smaller models can substitute for or outperform larger ones. This means it’s much more economical to rely on smaller models for most of the work. That’s the entire takeaway. Making this work in practice is a different problem, but if you forget everything else from this post this is the only message I think I’m really trying to convey here.

LEVI does it in three ways: 1) Invest in solution diversity from the start and ensure its maintained. We don’t want to converge to the same solution, especially with smaller models in the mix, and rely on large models to pull us out of the basin. 2) Use smarter routing across larger and smaller models (i.e. most mutations don’t require a Claude Opus X) 3) For prompt optimization not every rollout is as important. Build a proxy subset to approximate.

I’ve tried LEVI on systems problems (like MoE scheduling or database transaction scheduling) and found that LEVI outperforms existing frameworks on almost every problem I threw at it while consistently using a smaller budget (unto 7x cheaper). For prompt optimization, across problems like IFBench and HotSpotQA, LEVI reaches a similar or better score as GEPA while using less than half the rollouts!

Happy to answer any questions or take any suggestions! If there are unexpected or niche domains where this can be applied, I would love to hear.

Technical Blog: https://ttanv.github.io/levi/ GitHub: https://github.com/ttanv/levi

Comments URL: https://news.ycombinator.com/item?id=48446415

Points: 2

# Comments: 0

Categories: Hacker News

Diet Culture Ruins Lives

Hacker News - Mon, 06/08/2026 - 11:09am
Categories: Hacker News

Americans lost nearly $900 million to AI-powered scams, FBI says

Malware Bytes Security - Mon, 06/08/2026 - 11:02am

The 2025 Federal Bureau of Investigation (FBI) Internet Crime Report shows that Americans reported $893,346,472 in AI‑related scam losses.

Those losses stem from 22,364 AI-related complaints. And these figures represent only the reported losses, which may well be the proverbial tip of the iceberg.

The main drivers behind the rise in AI-powered scams are voice cloning, deepfake images and videos, and AI‑generated scripts. These tools have supercharged classic fraud schemes such as romance scams, kidnapping and extortion calls, fake influencers, and government impersonation.

Michael Machtinger, deputy assistant director of the FBI Cyber Division, told the Wall Street Journal:

“AI-created fraudulent communications can look very official and very legitimate to even the most trained individuals.”

The FBI and financial institutions recommend verifying identities via official contact channels. One of their biggest concerns is government impersonation scams, which have evolved from crude IRS gift‑card phone calls into sophisticated, multi‑channel operations that combine spoofed caller ID, stolen agency logos, and AI‑generated audio and video of public officials.

This report, and others like it, shows how AI is being weaponized to automate research on victims, generate convincing scripts, and create highly believable deepfake personas at scale.

AI is also increasingly used in business email compromise (BEC), romance scams, and impersonation fraud. In BEC cases involving AI, losses have already reached tens of millions of dollars for businesses alone.

For a broader look at why AI is simultaneously fueling scams like these and becoming indispensable to defending against them, see my article AI: Threat, tool, or both?

It explains how both defenders and criminals use AI to find vulnerabilities, and why security vendors increasingly rely on AI to process vast amounts of telemetry, detect anomalies, and keep pace with threats that “no longer move at human speed.”

How to stay safe

Consumer protection agencies have documented a growing list of the ways scammers are using AI to try to rip people off. The main problem is that we can no longer take it at face value that the person we’re talking to is who they claim to be.

Government agencies and financial institutions recommend that you:

  • Be skeptical of urgent payment demands, especially those involving cryptocurrency or gift cards
  • Limit the amount of voice and video content you share publicly, as it can be reused by scammers
  • Report incidents quickly to your bank(s) and IC3.gov

Pro tip: Malwarebytes Scam Guard can help you determine whether a message is a scam and guide you through the next steps.

Something feel off? Check it before you click.  

Malwarebytes Scam Guard helps you analyze suspicious links, texts, and screenshots instantly.  

Available with Malwarebytes Premium Security for all your devices, and in the Malwarebytes app for iOS and Android.  

Try it free → 

Categories: Malware Bytes

Early Careers Jobs Alliance between the government and industry will provide skills and guidance to ensure young people can begin careers in an AI-focused world

Computer Weekly Feed - Mon, 06/08/2026 - 10:24am
Early Careers Jobs Alliance between the government and industry will provide skills and guidance to ensure young people can begin careers in an AI-focused world
Categories: Computer Weekly

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