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Show HN: A calculus course with an AI tutor watching the lectures with you

https://calculus.academa.ai/
1•apoogdk•1m ago•0 comments

Show HN: 83K lines of C++ – cryptocurrency written from scratch, not a fork

https://github.com/Kristian5013/flow-protocol
1•kristianXXI•6m ago•0 comments

Show HN: SAA – A minimal shell-as-chat agent using only Bash

https://github.com/moravy-mochi/saa
1•mrvmochi•6m ago•0 comments

Mario Tchou

https://en.wikipedia.org/wiki/Mario_Tchou
1•simonebrunozzi•7m ago•0 comments

Does Anyone Even Know What's Happening in Zim?

https://mayberay.bearblog.dev/does-anyone-even-know-whats-happening-in-zim-right-now/
1•mugamuga•8m ago•0 comments

The last Morse code maritime radio station in North America [video]

https://www.youtube.com/watch?v=GzN-D0yIkGQ
1•austinallegro•10m ago•0 comments

Show HN: Hacker Newspaper – Yet another HN front end optimized for mobile

https://hackernews.paperd.ink/
1•robertlangdon•11m ago•0 comments

OpenClaw Is Changing My Life

https://reorx.com/blog/openclaw-is-changing-my-life/
1•novoreorx•19m ago•0 comments

Everything you need to know about lasers in one photo

https://commons.wikimedia.org/wiki/File:Commercial_laser_lines.svg
1•mahirsaid•21m ago•0 comments

SCOTUS to decide if 1988 video tape privacy law applies to internet uses

https://www.jurist.org/news/2026/01/us-supreme-court-to-decide-if-1988-video-tape-privacy-law-app...
1•voxadam•22m ago•0 comments

Epstein files reveal deeper ties to scientists than previously known

https://www.nature.com/articles/d41586-026-00388-0
1•XzetaU8•30m ago•0 comments

Red teamers arrested conducting a penetration test

https://www.infosecinstitute.com/podcast/red-teamers-arrested-conducting-a-penetration-test/
1•begueradj•37m ago•0 comments

Show HN: Open-source AI powered Kubernetes IDE

https://github.com/agentkube/agentkube
1•saiyampathak•41m ago•0 comments

Show HN: Lucid – Use LLM hallucination to generate verified software specs

https://github.com/gtsbahamas/hallucination-reversing-system
1•tywells•43m ago•0 comments

AI Doesn't Write Every Framework Equally Well

https://x.com/SevenviewSteve/article/2019601506429730976
1•Osiris30•46m ago•0 comments

Aisbf – an intelligent routing proxy for OpenAI compatible clients

https://pypi.org/project/aisbf/
1•nextime•47m ago•1 comments

Let's handle 1M requests per second

https://www.youtube.com/watch?v=W4EwfEU8CGA
1•4pkjai•47m ago•0 comments

OpenClaw Partners with VirusTotal for Skill Security

https://openclaw.ai/blog/virustotal-partnership
1•zhizhenchi•48m ago•0 comments

Goal: Ship 1M Lines of Code Daily

2•feastingonslop•58m ago•0 comments

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

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

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

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

LineageOS 23.2

https://lineageos.org/Changelog-31/
2•pentagrama•1h ago•0 comments

Crypto Deposit Frauds

2•wwdesouza•1h 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...
4•lostlogin•1h ago•0 comments

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

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

Are there anyone interested about a creator economy startup

1•Nejana•1h ago•0 comments

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

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

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

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

Roger Ebert Reviews "The Shawshank Redemption"

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

Busy Months in KDE Linux

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

GPT-5: The Reverse DeepSeek Moment

https://thezvi.substack.com/p/gpt-5-the-reverse-deepseek-moment
3•skmurphy•5mo ago

Comments

skmurphy•5mo ago
Key points

We had the DeepSeek Moment because of a confluence of factors misled people:

1. The ‘six million dollar model’ narrative gave a false impression on cost.

2. They offered a good clean app with visible chain of thought, it went viral.

3. The new style caused an overestimate of model quality.

4. Timing was impeccable, both in order of model releases and within the tech tree.

5. Safety testing and other steps were skipped, leaving various flaws, and this was a pure fast follow, but in our haste no one took any of that into account.

6. A false impression of ‘momentum’ and stories about Chinese momentum.

7. The ‘always insist open models will win’ crowd amplified the vibes.

8. The stock market was highly lacking in situational awareness, suddenly realizing various known facts and also misunderstanding many important factors.

GPT-5 is now having a Reverse DeepSeek Moment, including many direct parallels.

1. GPT-5 is evaluated as if it was scaling up compute in a way that it doesn’t. In various ways people are assuming it ‘cost’ far more than it did.

2. OpenAI offered a poor initial experience with rate caps and lost models and missing features, a broken router, and complaints about losing 4o’s sycophancy went viral.

3. The new style, and people evaluating GPT-5 when they should have been evaluating GPT-5-Thinking, caused an underestimate of model quality.

4. Timing was directly after Anthropic, and previous releases had already eaten the most impressive recent parts of the tech tree, so gains incorrectly looked small.

5. GPT-5 is a refinement of previous models optimized for efficiency, and is breaking new territory, and that is not being taken into account.

6. A false impression of hype and a story about a loss of momentum.

7. The ‘OpenAI is flailing’ crowd and the open model crowd amplified the vibes.

8. The stock market actually was smart this time and shrugged it off, that’s a hint.

What matters here is that we not fool ourselves into a Reverse DeepSeek Moment, in three ways:

1. America is still well out in front, innovating and making rapid progress in AI.

2. AGI is still probably coming and we need to plan accordingly.

3. Export controls on China are still vital.