recsv-heredoc

Was OpenAI's demo day really that great?

The assumption of the math is that you are not using Astra (which is hilarious). If you are not using Astra there is no point currently when Claude Opus 5.5 exists.

proof?

No it's not! (I jest)

"sudden"

TCP is very tough to get right - with this said ,this would be great to help network-deployments where UDP is blocked and other restrictions such as national firewalls apply.

Exciting iff this gets upstreamed.

Realtime multiplayer - to clarify the position.

Kinda makes sense. Multiplayer is at odds with async, generally speaking - and LLMs/agents really see their productivity rise up with async work.

Aren't there a ton of products already doing this? Why not just use claude Cowork? Surely they're simpler/better/more featureful/developed than the alternatives here? What advantage does this have? Would love to see a 'QM vs Cowork' comparison!

This is now 404ing. Someone at BFL reads HN.

Hopefully they've had enough time to improve things since then.

Open SoTA hasn't dramatically advanced at the top end (efficiency gains, sure, but nothing remarkable yet) since those releases.

Why do you still have a television in your home?

very load bearing suggestion.

Having to have Xcode installed is more than half the problem. It makes Visual Studio look lightweight.

It's unlikely that someone who understands this well enough to see its value wouldn't be completely comfortable with a terminal interface.

Great article. This is exactly what we're doing from a product perspective.

What if the frontier-minus-6-months assumption does not hold? The US has 5x the AI Capex of China, and 10x the EU. Assuming AI is compute limited (we certainly seem to be given the RAM crisis) - wouldn't it be reasonable to assume frontier models are likely to continue to pull ahead?

The harness is really important. It matters so much - possibly even more than the model. We had harness crashes after running many agents - granted we were doing quite a bit with it. Grok Build (as a product) review here:

UX friction behind is worse than Claude Code - but seems to be a strange positioning choice - they're more on the 'vibe' side than the 'agentic engineering' things.

Largest issue was actually reviewing output - but if you're going to largely make that opaque from the user, why choose a CLI-based interface that's so mouse-heavy?

There's also problems with the actual model. Thinking is visible, and every interaction goes like this:

"I would like you to investigate adding an API route to tackle x,y,z" *Grok, thinking: Okay - the user has asked me to add an API route to tackle x,y,z"

Also absolutely absurd other quirks - "I have no tools available in my context" being visible in the CoT.

The auto-approval (yellow, auto-mode) review of Claude Code via Opus is a killer feature - every build-it CLI should be offering this for long horizon tasks.

Messaged one of the engineers about our experience - no feedback.

You'd be better off with Claude Code 5x Max than the 300 USD/month subscription.

The cost of compute and inference efficiency keeps dropping. Deepseek has numerous advantages here that Anthropic has not likely implemented.

If we assume the current rate of 10x reduction every year or so, profitability is inevitable. It’s just a market-share cash-fight at the top right now.

It's very hard to compete with the massively-token-subsidized big players when our entire team is spending nearly 20x the claude code subscription cost in API token usage - it's impossible for anyone else to do it without eating huge losses.

Junie - their coding agent - was also a miss. I've had Rider for almost 10 years currently - but considering dropping it. Tradcoding is basically dead, and a lightweight text editor with tree-sitter has come a long way - and it's good enough to read/micro edit with anyway.

I feel bad for them as it's been such a stable product for decades of excellent development, but the world moves on.

Maybe that's not how it's being used though - Nobody needs photoshop to solve a specific focused problem.

Photoshop is a (formerly?) great toolbox. Toolboxes are good if you need to cater to a wide audience. An audience of one via bespoke software - the real revolution - doesn't need the full photoshop experience.

Countless examples previously requiring photoshop are now replaced with some ffmpeg and imagemagick pipelines written by AI daily.

CloudFlare offers excellent service for many of the open-weights models. It's fast, cheap and simple to set up. Can highly suggest as an LLM provider.

They serve gemma-4-26b-a4b-it.

There's so much tracking on this site it's even running WebGL to try and fingerprint the browser. Is that really necessary for a joke site, or does this ship by default with every CloudFlare site?

I can highly suggest visidata! https://www.visidata.org

It's an incredibly useful piece of software for data wrangling and exploration.

LLMs are rapidly becoming the first 'purely digital commodity'.

Being digital it's somewhat hard to apply any kind of trade protectionism or Chicken Tax onto them. Maybe there's a market for cruelty-free vegan non-GMO (low-water-use sustainable energy) LLM tokens as well as European ones?

I really like what Mistral did for open Models - but what is the plan to compete against the likes of Moonshot, DeepSeek in the global market? When you can get Kimi K2.6 served via cloudflare it raises tough questions on the economics of it all.

What exactly is Mistral's strategy is aside from niche regulatory requirements or a Eurocentric hedge for AI sovereignty? Do they even have ambitions to compete on the global stage?

I tried to find them on GitHub. Doesn't seem to be FOSS/OSS either.

Does address a real use-case - might be great as a library or a lightweight alternative to Mermaid.

As SaaS it's a very hard sell.

Yes - the interesting part is the decision that the “risk of losing internal comms to a ban is worth it” - even at that size.

According to one of the founders there’s no better way for them to reach a lot of low-skill part-time employees reliably.

It shows the need to bring AI to where people already are and onto the platforms they already use.