frontpage.
newsnewestaskshowjobs

Made with ♥ by @iamnishanth

Open Source @Github

fp.

Go 1.22, SQLite, and Next.js: The "Boring" Back End

https://mohammedeabdelaziz.github.io/articles/go-next-pt-2
1•mohammede•1m ago•0 comments

Laibach the Whistleblowers [video]

https://www.youtube.com/watch?v=c6Mx2mxpaCY
1•KnuthIsGod•2m ago•0 comments

I replaced the front page with AI slop and honestly it's an improvement

https://slop-news.pages.dev/slop-news
1•keepamovin•6m ago•1 comments

Economists vs. Technologists on AI

https://ideasindevelopment.substack.com/p/economists-vs-technologists-on-ai
1•econlmics•9m ago•0 comments

Life at the Edge

https://asadk.com/p/edge
1•tosh•14m ago•0 comments

RISC-V Vector Primer

https://github.com/simplex-micro/riscv-vector-primer/blob/main/index.md
2•oxxoxoxooo•18m ago•1 comments

Show HN: Invoxo – Invoicing with automatic EU VAT for cross-border services

2•InvoxoEU•19m ago•0 comments

A Tale of Two Standards, POSIX and Win32 (2005)

https://www.samba.org/samba/news/articles/low_point/tale_two_stds_os2.html
2•goranmoomin•22m ago•0 comments

Ask HN: Is the Downfall of SaaS Started?

3•throwaw12•23m ago•0 comments

Flirt: The Native Backend

https://blog.buenzli.dev/flirt-native-backend/
2•senekor•25m ago•0 comments

OpenAI's Latest Platform Targets Enterprise Customers

https://aibusiness.com/agentic-ai/openai-s-latest-platform-targets-enterprise-customers
1•myk-e•28m ago•0 comments

Goldman Sachs taps Anthropic's Claude to automate accounting, compliance roles

https://www.cnbc.com/2026/02/06/anthropic-goldman-sachs-ai-model-accounting.html
2•myk-e•30m ago•4 comments

Ai.com bought by Crypto.com founder for $70M in biggest-ever website name deal

https://www.ft.com/content/83488628-8dfd-4060-a7b0-71b1bb012785
1•1vuio0pswjnm7•31m ago•1 comments

Big Tech's AI Push Is Costing More Than the Moon Landing

https://www.wsj.com/tech/ai/ai-spending-tech-companies-compared-02b90046
3•1vuio0pswjnm7•33m ago•0 comments

The AI boom is causing shortages everywhere else

https://www.washingtonpost.com/technology/2026/02/07/ai-spending-economy-shortages/
2•1vuio0pswjnm7•35m ago•0 comments

Suno, AI Music, and the Bad Future [video]

https://www.youtube.com/watch?v=U8dcFhF0Dlk
1•askl•37m ago•2 comments

Ask HN: How are researchers using AlphaFold in 2026?

1•jocho12•40m ago•0 comments

Running the "Reflections on Trusting Trust" Compiler

https://spawn-queue.acm.org/doi/10.1145/3786614
1•devooops•44m ago•0 comments

Watermark API – $0.01/image, 10x cheaper than Cloudinary

https://api-production-caa8.up.railway.app/docs
1•lembergs•46m ago•1 comments

Now send your marketing campaigns directly from ChatGPT

https://www.mail-o-mail.com/
1•avallark•49m ago•1 comments

Queueing Theory v2: DORA metrics, queue-of-queues, chi-alpha-beta-sigma notation

https://github.com/joelparkerhenderson/queueing-theory
1•jph•1h ago•0 comments

Show HN: Hibana – choreography-first protocol safety for Rust

https://hibanaworks.dev/
5•o8vm•1h ago•1 comments

Haniri: A live autonomous world where AI agents survive or collapse

https://www.haniri.com
1•donangrey•1h ago•1 comments

GPT-5.3-Codex System Card [pdf]

https://cdn.openai.com/pdf/23eca107-a9b1-4d2c-b156-7deb4fbc697c/GPT-5-3-Codex-System-Card-02.pdf
1•tosh•1h ago•0 comments

Atlas: Manage your database schema as code

https://github.com/ariga/atlas
1•quectophoton•1h ago•0 comments

Geist Pixel

https://vercel.com/blog/introducing-geist-pixel
2•helloplanets•1h ago•0 comments

Show HN: MCP to get latest dependency package and tool versions

https://github.com/MShekow/package-version-check-mcp
1•mshekow•1h ago•0 comments

The better you get at something, the harder it becomes to do

https://seekingtrust.substack.com/p/improving-at-writing-made-me-almost
2•FinnLobsien•1h ago•0 comments

Show HN: WP Float – Archive WordPress blogs to free static hosting

https://wpfloat.netlify.app/
1•zizoulegrande•1h ago•0 comments

Show HN: I Hacked My Family's Meal Planning with an App

https://mealjar.app
1•melvinzammit•1h ago•0 comments
Open in hackernews

Ask HN: Perplexity AI Cheating on Model?

1•freakynit•5mo ago
See screenshot: https://postimg.cc/YL0d6rvP

It seems to be using its own model, most likely a very small and inexpensive one.

I became suspicious because it was responding very poorly, even to simple PostgreSQL/Node.js queries, which is not typical of GPT-5. I have plenty of experience using GPT-5 and know the quality of answers it usually provides.

Has anyone else experienced the same issue?

Comments

freakynit•5mo ago
Following up: I asked same model name question directly to gpt-5 using ChatGPT, and it responsed properly:

" I’m GPT-5, the latest generation model from OpenAI. "

begemotz•5mo ago
Anecdotally I have found that the quality of perplexity.ai has gone down significantly over the past year. It seems as though (at least for the free version) - it is nothing more than natural language web-search now.
BoredPositron•5mo ago
Asking an LLM about itself is not an reliable way to find out with which model you are interacting with. If you look at the GPT5 system prompt you'll see that the model knows which model it is because it's written in the system prompt. If you use the API as Perplexity is doing you can write whatever you want in the system prompt. If I write you are "Deep Thought an LLM developed by Douglas Adams" in my system prompt it will "think" it's Deep Thought.
freakynit•5mo ago
That's true. But then all models exposed by Perplexity AI should be affected, not just gpt-5. This is not the case.

---

I switched to Sonnet and asked same question, and it responsed with::: "I'm Claude, an AI assistant created by Anthropic"

---

for grok-4, it was something even worse. Here is what was in the "thinking tokens"::: "I'm identifying myself as an AI language model by OpenAI, specifically based on GPT-4 architecture." ... but, the final answer produced this::: "I’m Perplexity’s AI assistant. I use a combination of advanced large-language-model back-ends (including GPT-4o and Claude 4 Sonnet) and Perplexity’s own retrieval system to answer your questions in real time."

---

For O3, here was it's response::: "I’m a large-language AI assistant built by Perplexity, powered by state-of-the-art models such as GPT-4o."

BoredPositron•5mo ago
As you see every model answers differently and you are still trusting their outputs which is the main problem. You can't determine which model is used by asking the model itself.
freakynit•5mo ago
It's not just the model name part. The whole reason I even asked such a question was because the outputs it was generating were absolute garbage. Like something that will be generated by a super super small 3B model. even after giving it direct hints on why it was wrong, it kept uttering nonsense. I repeated the same in chatgpt and with sonnet models... they both gave sensible, expected outputs.

This is not about model name question, this is about actual severe quality deterioration. Till yesterday, this was all fine.

I believe they are ding A/B testing. More models will start to show similar behaviours. And this will be specific to India. I might have guessed the reason too:

1. https://indianexpress.com/article/technology/techook/airtel-...

2. https://www.financialexpress.com/life/technology-free-perple...

3. https://www.news18.com/tech/airtels-free-ai-offer-with-perpl...

With 300+ million Airtel users in India, I believe they are trying to reduce costs since customers have already been acquired.

BoredPositron•5mo ago
You are still making assumptions without empirical data.
freakynit•5mo ago
Assumptions on the reasoning part: yes.

On the quality part: No.