bfeynman

If there's one thing that politicians and strategists understand as much if not better than business people it actually is stuff like this. Most people never don't deal with high stakes situations at certain levels where everything is fungible(the law, media statements) and fuzzy (intelligence). Dealing and negotiating with nation states or figure heads who are adversarial/allies and at same time trade partners/enemies etc. They have certainly sold this situation as one that fits the regime for this.

Super intrigued by this - large scale automation using LLMs is quite annoying due to deprecation cycles of models from frontier labs and cost of running your own being prohibitive when you have a blend of them.

I wish people could read through the puffery more easily - this company does nothing except prompt frontier models and act as if they are discovering or inventing capabilities. Their previous announcement completely misappropriated the concept of autonomy with human in the loop regardless. The harness they alleged to have created here is a commodity and as byproduct of more capable and frontier models, there is not really anything they have contributed. Otherwise you wouldn't just see monotonically increasing scores with better models

Like Airtable - they probably started seeing revenue growth/acceleration plummeting due to vibecoding being able to replace the product and are pulling plug early instead of letting it grind out to 0.

This would be incredible for innovation if we can bring this back domestically. It's very hard given lack of raw materials and the supply chain around it often also requires robust network but hopefully this spurs something.

This is something that takes real expertise though, kind of a moonshot for an inexperienced team unfortunately. Would be cool if had mission driven backers otherwise will just end up being hobbyist material. Relying on defense (bubble?) gives at least some breathing room as not actually competing against china for better prices.

Can someone give me an example where this is truly and uniquely useful? I've seen so many of these things and I can't tell if part of it is like mostly for enabling nontechnical folks to do more things or if it's some unlock and additive value. At end of day beneath it all things are just prompts, and then you can provide tools and context, but even then that's not even something I've found that useful to keep because context windows are still limited and bias propagations often need to be constantly corrected, especially when digital artifacts are not perfect representations of the real world.

this is not noteworthy - simple misconfiguration and over-provisioning can result in same thing, and that happens all the time.

is this an ad?

| Harvey's legal agent beats GPT-5.5 and Claude Opus 4.8 on its own rubrics, and Intercom's Fin Apex resolves more support issues at lower cost.

The rubric and cost argument here just casually ignores all of the other challenges and real business issues of evolving models over time

kuzudb was sunsetted. I think for graph workloads duckdb is best bet, even though this is just a community plugin the upstream duckdb has really robust community doing a lot of heavy lifting and updates.

Trying to ascribe causality on macro/global level when the interesting tidbits are certainly on the regionalized scale seems mostly useless, although somewhat there is irony in again a man writing about why he thinks women having less kids than just going around and getting actual data points that aren't capture by societal level statistics. I think the undeniable trend is caused by economics especially in the western world. It's more expensive to live than ever, and kids are very expensive when you factor in cost of living and lifestyle adjustments.

This sort of essay is farcical in ascribing economic stability as "status" - which of course has a negative connotation of seeking status, but suppose thats on track for a man writing an essay about this. Women( and men) need to work now because single incomes are not enough, and women biologically have larger burden in child rearing regardless. Economic incentives for child rearing are a joke, much like most policy that ends up more as a panacea than a solution - because none of it targets the other huge correlation we see, the growing level of inequality of wealth where the top n% is accumulating more and more. One need not look at number of lawsuits regarding women getting fired or laid off from work for needing/taking maternal leave. In the US you often need to be tenured for a year to qualify for it. These are all economic issues at it's core, and the tautology to it being status seeking is an damaging one in and of itsef.

despite having multibillion dollar valuation and a real product and service doordashes tech blogs have always been surprisingly simplistic and borderline elementary or in this case, kind of just slop. I remember reading their early data science ones and they were all sort of comically limited or discussing tradeoffs between outdated methods.

The whole point of agentic tool calling is for there to be runtime decisions made by the agent based on the outcome of a tool call. Anything that can be serialized like this could effectively be rewritten as a single tool call which this seems (via the example) to just be a tautology of for the most part. Otherwise you would have combinatorial explosion of all the paths if there is actual logic branching.

fwiw, this could be a bug but the submitters level of arrogance places this rather high on the dunning-kruger side of things. There are multiple other plausible explanations, but this person is probably vibe coder who believes anything an llm says (including explaining its own hallucinations)

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