qprofyeh

So true. I believe the programming harness is only the first of many many harnesses that will soon displace all knowledge workers. The LLMs already contain all the weights and facts. They just need loops to get results out.

It’s basically moving from chat (conversational copiloting) to result driven agent harnesses, exactly what happened with code. To us.

The reason it happened so fast with code is because: - anthropic is a software company and scratching their own itch - open source codebases in training input - vast amount of books and docs too - real-time linters and tests provide confident feedback for closing the loop quickly

Other occupations will want to limit their public knowledge sharing (sadly) and avoid formal specification / standardization of their unique workflows. And definitely avoid equivalents of realtime linters and tests.

This is cool. Any way to search for People / faces / pets? Like on iOS?

The effective altruism movement truly scares me. First time I heard about it was when FTX collapsed.

The match is whoever wants to start on the journey with the user, at that moment, and the algorithm is there to give the potential couple a better starting point. I guess at any rate that’s better than leaving it to hope and chance.

Local hospitals and government agencies have turned off their servers until further review.

This needs to be patched asap.

This feature opens many doors for optimizing low-level performance in Go projects, that are already running multicore. IIRC there aren’t a lot of languages with built-in std lib support for SIMD and variants. Love the way Go is trying new stuff lately.

Here we go again, framing the tool as an autonomous agent, disregarding any "human in the loop" and their inquiries, direction, and ground knowledge.

Can we agree that future titles should read "[LLM] helped solve X" ?

Wonder if they are aware of Cantonese, the language that is often abbreviated as Canto.

Skeptical whether author has financial gain from echoing and underwriting this already prominent statement, spread by BigAI. Not that I disagree with what’s written, I do see irreversible changes in our industry, but there’s the flip side that he doesn’t seem interested to write about. Makes the whole article read like a sponsored Anthropic ad.

With previous engineering trends like blockchains and microservices, you could choose not to jump on the bandwagon. However the coding agents trend is different and is changing the very fabric (sry for Claudeism) of software engineering, for better or worse. I do know we will never go back to mainly programming through code again, that’s for sure.

I wonder if it has anything to do with the currency apparently being backed by an immense reserve of oil (proven to the world by this year's geopolitical events), then coal, and then a massive amount of renewable solar, hydro, wind kWh's and infrastructure to deliver it to homes and shops.

More and more it feels like a nation's kWh throughput is the new metric to track its global influence in manufacturing, industry, and financial services. In other words electric power now equates to global power.

Credits to Reuters. Alternative: https://www.automotiveworld.com/news/eu-regulators-puzzlingl...

On a lighter note: it’s perfectly fine to take full credit for caring about a problem.

So many comments in here are missing the point.

By not crediting and personifying the LLM, one (re)takes full human responsibility over the produced works and stated claims. As a result one won’t become an “agent” for the LLM.

The title could have been Don’t blame the LLM.

When we first started using LLMs professionally it was fine to hide behind disclaimers. Now with widespread adoption it’s time to step out of the LLM’s shadow and take credit/blame again.

When will this war be over?

Thanks, definitely positive they’re moving towards open and freely accessible modeling tools. I can see the benefits for students and budget-constrained institutions.

Thanks!

It’s an honest question, perhaps not worded friendly enough. Forgive my English.

Let’s zoom in on your reply, the people who are interested and look at it and use it. What will they be able to do with it?

Educate me, what’s the point of (open-sourcing) this?

No one seeing this as Musk and SpaceX leveraging government support to close the IPO doors on OpenAI and Anthropic?

I know it’s a bold statement but look at this timing and their valuations going south.

Got it, thanks dang!

More technical introduction worth reading: https://blog.kilo.ai/p/the-elephant-is-out-of-the-bag-meet