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Moltbook isn't real but it can still hurt you

https://12gramsofcarbon.com/p/tech-things-moltbook-isnt-real-but
1•theahura•1m ago•0 comments

Take Back the Em Dash–and Your Voice

https://spin.atomicobject.com/take-back-em-dash/
1•ingve•1m ago•0 comments

Show HN: 289x speedup over MLP using Spectral Graphs

https://zenodo.org/login/?next=%2Fme%2Fuploads%3Fq%3D%26f%3Dshared_with_me%25253Afalse%26l%3Dlist...
1•andrespi•2m ago•0 comments

Teaching Mathematics

https://www.karlin.mff.cuni.cz/~spurny/doc/articles/arnold.htm
1•samuel246•5m ago•0 comments

3D Printed Microfluidic Multiplexing [video]

https://www.youtube.com/watch?v=VZ2ZcOzLnGg
2•downboots•5m ago•0 comments

Abstractions Are in the Eye of the Beholder

https://software.rajivprab.com/2019/08/29/abstractions-are-in-the-eye-of-the-beholder/
2•whack•5m ago•0 comments

Show HN: Routed Attention – 75-99% savings by routing between O(N) and O(N²)

https://zenodo.org/records/18518956
1•MikeBee•6m ago•0 comments

We didn't ask for this internet – Ezra Klein show [video]

https://www.youtube.com/shorts/ve02F0gyfjY
1•softwaredoug•6m ago•0 comments

The Real AI Talent War Is for Plumbers and Electricians

https://www.wired.com/story/why-there-arent-enough-electricians-and-plumbers-to-build-ai-data-cen...
2•geox•9m ago•0 comments

Show HN: MimiClaw, OpenClaw(Clawdbot)on $5 Chips

https://github.com/memovai/mimiclaw
1•ssslvky1•9m ago•0 comments

I Maintain My Blog in the Age of Agents

https://www.jerpint.io/blog/2026-02-07-how-i-maintain-my-blog-in-the-age-of-agents/
2•jerpint•10m ago•0 comments

The Fall of the Nerds

https://www.noahpinion.blog/p/the-fall-of-the-nerds
1•otoolep•11m ago•0 comments

I'm 15 and built a free tool for reading Greek/Latin texts. Would love feedback

https://the-lexicon-project.netlify.app/
2•breadwithjam•14m ago•1 comments

How close is AI to taking my job?

https://epoch.ai/gradient-updates/how-close-is-ai-to-taking-my-job
1•cjbarber•15m ago•0 comments

You are the reason I am not reviewing this PR

https://github.com/NixOS/nixpkgs/pull/479442
2•midzer•16m ago•1 comments

Show HN: FamilyMemories.video – Turn static old photos into 5s AI videos

https://familymemories.video
1•tareq_•18m ago•0 comments

How Meta Made Linux a Planet-Scale Load Balancer

https://softwarefrontier.substack.com/p/how-meta-turned-the-linux-kernel
1•CortexFlow•18m ago•0 comments

A Turing Test for AI Coding

https://t-cadet.github.io/programming-wisdom/#2026-02-06-a-turing-test-for-ai-coding
2•phi-system•18m ago•0 comments

How to Identify and Eliminate Unused AWS Resources

https://medium.com/@vkelk/how-to-identify-and-eliminate-unused-aws-resources-b0e2040b4de8
3•vkelk•19m ago•0 comments

A2CDVI – HDMI output from from the Apple IIc's digital video output connector

https://github.com/MrTechGadget/A2C_DVI_SMD
2•mmoogle•20m ago•0 comments

CLI for Common Playwright Actions

https://github.com/microsoft/playwright-cli
3•saikatsg•21m ago•0 comments

Would you use an e-commerce platform that shares transaction fees with users?

https://moondala.one/
1•HamoodBahzar•22m ago•1 comments

Show HN: SafeClaw – a way to manage multiple Claude Code instances in containers

https://github.com/ykdojo/safeclaw
3•ykdojo•25m ago•0 comments

The Future of the Global Open-Source AI Ecosystem: From DeepSeek to AI+

https://huggingface.co/blog/huggingface/one-year-since-the-deepseek-moment-blog-3
3•gmays•26m ago•0 comments

The Evolution of the Interface

https://www.asktog.com/columns/038MacUITrends.html
2•dhruv3006•27m ago•1 comments

Azure: Virtual network routing appliance overview

https://learn.microsoft.com/en-us/azure/virtual-network/virtual-network-routing-appliance-overview
3•mariuz•28m ago•0 comments

Seedance2 – multi-shot AI video generation

https://www.genstory.app/story-template/seedance2-ai-story-generator
2•RyanMu•31m ago•1 comments

Πfs – The Data-Free Filesystem

https://github.com/philipl/pifs
2•ravenical•34m ago•0 comments

Go-busybox: A sandboxable port of busybox for AI agents

https://github.com/rcarmo/go-busybox
3•rcarmo•35m ago•0 comments

Quantization-Aware Distillation for NVFP4 Inference Accuracy Recovery [pdf]

https://research.nvidia.com/labs/nemotron/files/NVFP4-QAD-Report.pdf
2•gmays•36m ago•0 comments
Open in hackernews

Tech Recession Over: The Return of Novelty Work

10•tsunamifury•7mo ago
I’ve been noticing something lately.

For the past two years, most of the tech sector has been in contraction mode. We saw layoffs across the board, a shift to core business priorities, and a general skepticism toward anything that wasn’t directly monetizable. R&D dried up. “Moonshots” became punchlines. People got cautious—and reasonably so.

But something has shifted. And it’s happening quietly, almost in the background.

We’re seeing the return of novelty work.

Not just in startups. In big tech.

Here’s what I think is going on:

Large tech companies are re-hiring. Not indiscriminately, and not to rebuild the same layers they just cut. They’re hiring selectively—for people who can help them explore.

Because something new has opened up.

Tools like GPT-4o (o3) have changed the map. What once required months of ramp-up—studying a domain, running prototypes, testing hypotheses—can now happen in a week. If you apply the model aggressively, especially with novelty-directed prompts, it becomes not just a productivity tool, but a discovery engine. It collapses time between an idea and its plausibility.

That compression matters. It creates strategic urgency.

Big tech is feeling that urgency. When entirely new opportunity surfaces—new UX paradigms, new AI-native workflows, new consumer behaviors—it’s not enough to optimize existing product lines. You have to get there first. And for that, you need people who know how to work in undefined spaces. Who aren’t afraid of ambiguity. Who can fuse ideas laterally and ship just enough to prove what’s next.

In a strange twist, the very same companies that downsized their frontier R&D teams a year ago are now quietly building them back—because the frontier itself just moved.

This isn’t just about hiring.

We’re also seeing capital return to exploratory work. AI-native founders are raising on narrative again—on conviction, not just revenue. And they’re doing it because the time-to-test has shortened. They can explore four product directions in a month and know which one has a market. That kind of leverage pulls capital back in.

So yes, the “tech recession” is over. But it’s not a cycle reset in the old sense. It’s not simply capital returning—it’s imagination returning.

What comes next will be built by those who are comfortable exploring fast, failing cheaply, and synthesizing across boundaries.

If that’s you—this is your time.

Comments

bradac56•7mo ago
Some one has been hitting the wacky weed a bit to much I think.
gronglo•7mo ago
I got shadowbanned for writing posts with chatgpt while this guy hits the front page.