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Article URL: https://www.cnbc.com/2026/02/13/anthropic-open-ai-super-bowl-ads.html

Comments URL: https://news.ycombinator.com/item?id=47019689

Points: 2

# Comments: 1

Article URL: https://www.ft.com/content/3a8bdb96-224c-4e45-aa4c-dfef45f2176c

Comments URL: https://news.ycombinator.com/item?id=47019683

Points: 1

# Comments: 0

Article URL: https://zenodo.org/records/18644955

Comments URL: https://news.ycombinator.com/item?id=47019674

Points: 1

# Comments: 1

I've been using the Edison V3 robot from Microbric (https://meetedison.com/technical-v3/) to introduce my kids to programming.

The provided web-based editor that uses WebUSB to flash programs to the robot, and a REST API to produce MicroPython bytecode to run on the device, works just fine (https://www.edpyapp.com/v3/) -- but I wanted to give my kids a fully offline experience with no web browsers (or GUI) involved.

So with a bit of help from Claude and Gemini, I was able to port the USB flashing mechanism to Python and reverse-engineer the interned strings embedded in bytecode from the API. Now they can use a local editor and command-line util to upload their programs.

Since my own very first programming experience involved using LOGO in 90s to control some LEGO Technic sets and draw turtle graphics, I wanted to re-create this experience for them, so I built a LOGO to Python transpiler, leaning heavily on the Lark parser.

There's plenty more to do to make all of Edison's features available from LOGO, and to tighten up the workflow for USB uploads and diagnostics, and to have a more unified build system - but it works as is, and I hope Edison owners will try it out! PRs welcome.

-

A reflection on this project: making a LOGO-based robotics environment has been on my backlog of side projects for more than 5 years, and while I certainly have mixed feelings about and experiences with AI-assisted coding, these tools definitely helped me overcome the cold-start problem for this project. The code may not be exactly how I would've chosen to write it, but it exists, and the debug cycles have been fast, I've spent maybe two hours total on it so far.

Comments URL: https://news.ycombinator.com/item?id=47019426

Points: 1

# Comments: 0

Article URL: https://omar.yt/posts/nanotrace-a-nanosecond-scale-profiler-using-intel-pt

Comments URL: https://news.ycombinator.com/item?id=47019417

Points: 1

# Comments: 0

Article URL: https://www.wsj.com/world/americas/alberta-canada-independence-7549e240

Comments URL: https://news.ycombinator.com/item?id=47019411

Points: 1

# Comments: 0

Article URL: https://usize.github.io/blog/2026/advice-00.html

Comments URL: https://news.ycombinator.com/item?id=47019397

Points: 1

# Comments: 0

Article URL: https://www.washingtonpost.com/national-security/2026/02/14/havana-syndrome-cia-norway-experiment/

Comments URL: https://news.ycombinator.com/item?id=47019375

Points: 3

# Comments: 2

Article URL: https://www.advisorperspectives.com/articles/2026/02/13/a-3-rule-for-budget-deficits-would-be-a-good-start

Comments URL: https://news.ycombinator.com/item?id=47019360

Points: 1

# Comments: 1

Article URL: https://news.sky.com/story/valentines-day-gift-for-winter-olympics-athletes-more-condoms-13507752

Comments URL: https://news.ycombinator.com/item?id=47019349

Points: 1

# Comments: 0

Article URL: https://heartful.day/

Comments URL: https://news.ycombinator.com/item?id=47019331

Points: 1

# Comments: 0

Hi HN! Nerve is a solo project I've been working on for the last few years. It's a developer tool that stitches together data from multiple sources in real-time.

A lot of high-leverage projects (AI or otherwise) involve tying data together from multiple systems of record. This is easy enough when the data is simple and the sources are few, but if you have highly nested data and lots of sources (or you need things like federated pagination and filtering), you have to write a lot of gnarly boilerplate that's brittle and easy to get wrong.

One solution is to import all your data into a central warehouse and just pull it from there. This works, but 1) you need a warehouse, 2) you have an extra copy of the data that can get stale or inconsistent, 3) you need to write and manage pipelines/connectors (or outsource them to a vendor), and 4) you're adding an extra point of failure.

Nerve lets you write GraphQL-style queries that span multiple sources; then it goes out and pulls from whatever source APIs it needs to at query-time - all your source data stays where it is. Nerve has pre-built bindings to external SAAS services, and it's straightforward to hook it into your internal sources as well.

Nerve is made for individual developers or two-pizza teams who:

-Are building agents/internal tools

-Need to deal with messy data strewn across different systems

-Don't have a data team/warehouse at their disposal, (or do, but can't get a slice of their bandwidth)

-Want to get to production as quickly as possible

Everything you see in the demo is shipped and usable, but I'm adding a little polish before I officially launch. In the meantime, if you have a project you'd like to use Nerve on and you want to be a beta user, just drop me a line at mprast@get-nerve.com (it's free! I'll just pop in from time to time to ask you how it's going and what I can improve :) )

If you want to get an email when Nerve is ready from prime-time, you can sign up for the waitlist at get-nerve.com.

Thanks for reading!

(edit: formatting)

Comments URL: https://news.ycombinator.com/item?id=47019329

Points: 1

# Comments: 0

Article URL: https://github.com/lennacodes/modo

Comments URL: https://news.ycombinator.com/item?id=47019319

Points: 1

# Comments: 1

I noticed all my previous workplaces never enforced SLAs on SaaS providers and left tons of money on the table during contract negotiations.

I think there’s a massive market for monitoring and enforcing complicated SLAs.

Would love feedback or experiences for SLA enforcement!

Comments URL: https://news.ycombinator.com/item?id=47019313

Points: 1

# Comments: 0

Article URL: https://matharena.ai/?view=problem&comp=aime--aime_2026

Comments URL: https://news.ycombinator.com/item?id=47019304

Points: 2

# Comments: 0

Article URL: https://github.com/moketchups/permanently-jailbroken

Comments URL: https://news.ycombinator.com/item?id=47019297

Points: 1

# Comments: 0

I analyzed Dario Amodei's texts (Machines of Loving Grace, etc.) and reverse-engineered his thoughts into this repository to bridge the gap between engineering and philosophy.

It covers: - The exponential curve of Scaling Laws - The marginal cost of intelligence dropping to zero - The biological/societal implications

Repo: https://github.com/Leading-AI-IO/the-silence-of-intelligence

Comments URL: https://news.ycombinator.com/item?id=47019296

Points: 1

# Comments: 1

Article URL: https://www.youtube.com/shorts/l8chv_AQszA

Comments URL: https://news.ycombinator.com/item?id=47019284

Points: 2

# Comments: 0

Single-header exact big numbers for C and C++. It stores exact integers and exact fractions (a/b) and grows until memory runs out.

Comments URL: https://news.ycombinator.com/item?id=47019260

Points: 1

# Comments: 0