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Goal: Ship 1M Lines of Code Daily

2•feastingonslop•8m ago•0 comments

Show HN: Codex-mem, 90% fewer tokens for Codex

https://github.com/StartripAI/codex-mem
1•alfredray•10m ago•0 comments

FastLangML: FastLangML:Context‑aware lang detector for short conversational text

https://github.com/pnrajan/fastlangml
1•sachuin23•14m ago•1 comments

LineageOS 23.2

https://lineageos.org/Changelog-31/
1•pentagrama•17m ago•0 comments

Crypto Deposit Frauds

1•wwdesouza•18m ago•0 comments

Substack makes money from hosting Nazi newsletters

https://www.theguardian.com/media/2026/feb/07/revealed-how-substack-makes-money-from-hosting-nazi...
1•lostlogin•18m ago•0 comments

Framing an LLM as a safety researcher changes its language, not its judgement

https://lab.fukami.eu/LLMAAJ
1•dogacel•20m ago•0 comments

Are there anyone interested about a creator economy startup

1•Nejana•22m ago•0 comments

Show HN: Skill Lab – CLI tool for testing and quality scoring agent skills

https://github.com/8ddieHu0314/Skill-Lab
1•qu4rk5314•22m ago•0 comments

2003: What is Google's Ultimate Goal? [video]

https://www.youtube.com/watch?v=xqdi1xjtys4
1•1659447091•22m ago•0 comments

Roger Ebert Reviews "The Shawshank Redemption"

https://www.rogerebert.com/reviews/great-movie-the-shawshank-redemption-1994
1•monero-xmr•24m ago•0 comments

Busy Months in KDE Linux

https://pointieststick.com/2026/02/06/busy-months-in-kde-linux/
1•todsacerdoti•25m ago•0 comments

Zram as Swap

https://wiki.archlinux.org/title/Zram#Usage_as_swap
1•seansh•38m ago•0 comments

Green’s Dictionary of Slang - Five hundred years of the vulgar tongue

https://greensdictofslang.com/
1•mxfh•39m ago•0 comments

Nvidia CEO Says AI Capital Spending Is Appropriate, Sustainable

https://www.bloomberg.com/news/articles/2026-02-06/nvidia-ceo-says-ai-capital-spending-is-appropr...
1•virgildotcodes•42m ago•2 comments

Show HN: StyloShare – privacy-first anonymous file sharing with zero sign-up

https://www.styloshare.com
1•stylofront•43m ago•0 comments

Part 1 the Persistent Vault Issue: Your Encryption Strategy Has a Shelf Life

1•PhantomKey•47m ago•0 comments

Show HN: Teleop_xr – Modular WebXR solution for bimanual robot teleoperation

https://github.com/qrafty-ai/teleop_xr
1•playercc7•50m ago•1 comments

The Highest Exam: How the Gaokao Shapes China

https://www.lrb.co.uk/the-paper/v48/n02/iza-ding/studying-is-harmful
2•mitchbob•54m ago•1 comments

Open-source framework for tracking prediction accuracy

https://github.com/Creneinc/signal-tracker
1•creneinc•56m ago•0 comments

India's Sarvan AI LLM launches Indic-language focused models

https://x.com/SarvamAI
2•Osiris30•57m ago•0 comments

Show HN: CryptoClaw – open-source AI agent with built-in wallet and DeFi skills

https://github.com/TermiX-official/cryptoclaw
1•cryptoclaw•1h ago•0 comments

ShowHN: Make OpenClaw respond in Scarlett Johansson’s AI Voice from the Film Her

https://twitter.com/sathish316/status/2020116849065971815
1•sathish316•1h ago•2 comments

CReact Version 0.3.0 Released

https://github.com/creact-labs/creact
1•_dcoutinho96•1h ago•0 comments

Show HN: CReact – AI Powered AWS Website Generator

https://github.com/creact-labs/ai-powered-aws-website-generator
1•_dcoutinho96•1h ago•0 comments

The rocky 1960s origins of online dating (2025)

https://www.bbc.com/culture/article/20250206-the-rocky-1960s-origins-of-online-dating
1•1659447091•1h ago•0 comments

Show HN: Agent-fetch – Sandboxed HTTP client with SSRF protection for AI agents

https://github.com/Parassharmaa/agent-fetch
1•paraaz•1h ago•0 comments

Why there is no official statement from Substack about the data leak

https://techcrunch.com/2026/02/05/substack-confirms-data-breach-affecting-email-addresses-and-pho...
13•witnessme•1h ago•4 comments

Effects of Zepbound on Stool Quality

https://twitter.com/ScottHickle/status/2020150085296775300
2•aloukissas•1h ago•1 comments

Show HN: Seedance 2.0 – The Most Powerful AI Video Generator

https://seedance.ai/
2•bigbromaker•1h ago•0 comments
Open in hackernews

Show HN: I made 25 tech predictions and mass-published them

2•JoseOSAF•4w ago
I did something that might be incredibly stupid. I made 25 specific predictions about what will happen in tech over the next 6 months — and published all of them with deadlines before I could chicken out. Not vague "AI will grow" predictions. Specific, falsifiable claims like:

Medical AI will face mandatory safety requirements within 18 months (regulatory signals are screaming) There's a ~6 month window in AI infrastructure before consolidation locks out new entrants Browser agents hit mainstream faster than current discourse suggests

Each prediction has a confidence score, a hard deadline, and what would prove me wrong. Why would I do this? Because I'm tired of pundits making unfalsifiable claims and retroactively declaring victory. "I predicted crypto would struggle" — okay, when? By how much? What counts as struggling? So I'm doing the opposite. Public predictions. Specific deadlines. No editing after the fact. The first verification check runs January 24. I'll publish results whether they make me look smart or completely delusional. A few already make me uncomfortable — some have conviction scores above 75%, which feels overconfident for 6-month horizons. But that's the point. If I'm not risking being wrong, I'm not actually predicting anything. All 25: https://asof.app/alpha What's your most contrarian take on what happens in tech this year? Curious what predictions HN would make with actual deadlines attached.

Comments

7777777phil•4w ago
The OpenAI platformization take feels like the safest bet here (imo it's already the consensus in most SF infra circles - my ttwo cents here: https://philippdubach.com/posts/how-ai-is-shaping-my-investm...). The medical MLLM grafting is a much higher-stakes claim. Let’s see if "regulatory-grade" ever actually happens without a full retraining—history suggests the FDA isn't a fan of modular grafts.
JoseOSAF•4w ago
Yeah fair point on the medical MLLM stuff. FDA and modular approaches have never been best friends. That's actually why I'm most curious to see how it plays out - the ArXiv activity around safety grafting has been picking up but whether regulators actually buy it vs demanding full retraining... we'll see. The OpenAI platformization one I'll admit feels safer. Curious though - do you think the window's already closing or is there still runway for the picks and shovels players?
Anthony76•3w ago
One pattern I’ve noticed across tech (and especially crypto) is that the hardest part to predict isn’t what will happen, but how quickly trust compounds once a narrative starts aligning with real behavior. We’ve seen this while working on long-term visibility and adoption for Web3 products at AixBoost.com — short-term spikes almost never validate predictions, but slow, consistent signals tend to confirm or kill them pretty decisively. Curious which of your predictions you personally feel most uneasy about being wrong on.