code51

You mean Google doesn't understand prompt caching, latency or token costs?

Or Google teams fail to communicate for such things?

What does "more useful" mean in this context? Can you solve gas-filled bowels with the mode difference?

I'm curious how you're addressing any legal aspects about this:

No black-box AI. Every candidate gets a detailed match receipt explaining exactly why they scored an 85%, complete with contextual evidence from their CV.

HR teams like to play dead when they actually have a file with detailed feedback on a candidate. Yet, they choose to keep that to themselves out of baseless legal fear. I wonder how that works out when somebody proves a company's filter consistently proves a specific bias gets rejected systematically.

and

Automated assignment validation

which is particularly troubling for devs: companies scaling assignments as first screen. How do you get around "AI evaluating AI" loops especially about assignments ?

Bad CEO but still CEO. That's the thing.

Cost-saving is quite an easy idea to sell.

That's just inflation (yeah, the global one) and demand at play.

Let's not mix up depreciation of real value vs USD price (which is arbitrary, plus government controlled)

Google Takeout doesn't work properly for exporting Gemini chats.

Antigravity locks your chats locally behind .pb files.

Nothing to export your very own data.

OpenAI is best at personal data export. Claude has something at least, despite being quirky. Yet, Google looks very purpose-built to not give anything back.

using it for years. stable as hell. and, what subscription? I just install and run with it. free forever

but there is Vox.

Why do I only see Claude in this UI? It seems Claude is picking up the very same color scheme for many webpage building requests.

Why on earth is nobody here talking about the sudden jump to use von Mangoldt function?

The reasoning trace never types Λ, never types "von Mangoldt", and never invokes ∑_{q|n} Λ(q) = log n.

There is a clear discontinuity at play. I remember an article on this, maybe a comment by Terence Tao himself, seen here, but cannot find it.

Anything from Steve Yegge must come with an AI bias disclaimer now.

Exactly this. OpenAI is running huge workloads silently, without anybody patting their back.

Input:

  i ate a cookie

  I’m thrilled to share that I’ve just successfully completed the consumption of a high-quality, artisanal cookie. This experience reinforced the importance of consistent self-reward and maintaining a growth-oriented fuel strategy. Grateful for the opportunity to recharge and optimize my performance for the challenges ahead. #GrowthMindset #PersonalDevelopment #FuelingSuccess

Oh, tried with a horse.

  I am thrilled to announce that I have successfully completed the challenge of consuming an entire horse.

  This journey taught me so much about resilience, dedication, and the importance of setting audacious goals. It wasn't just about the meal; it was about pushing past my perceived limits and embracing a growth mindset.

  Key takeaways:
  1. Scalability is everything.
  2. Persistence pays off when tackling large-scale projects.
  3. Fueling your ambition requires thinking outside the box.
  Grateful for the support of my network as I continue to hunger for the next big opportunity! #GrowthMindset #Leadership #Resilience #Disruption #NextLevel

Skills is a generic construct. System prompt is generic as well. Subagents, AGENTS.md, CLAUDE.md etc. these are generic, "please care for my instruction" kind of constructs without any real guarantee to close gaps.

Tool is generic (CC vs OpenCode) Ecosystem is already same everywhere.

I don't understand what's the point.

Physical losses in undermaintained water grids are the biggest cause for the issue. Yet, economic downturn creates a vicious circle: governments avoid infra spend because of low funds, then agriculture and other economic output gets hit because of water shortage. Lower resource lower will for infra spend. Until you hit the very low: stopping the grid because day zero. At that point, both the grid and city hygiene becomes a mess anyway. Costs build up so much that most governments cannot cope up with it properly.

and this is why you need sane people at the top earliest

Wait, your job was len(x) == 15?

Recommending new material involves risk. Once these companies go big and mature, they hate risk. They hate risk in hiring (taking a chance in people) and they certainly hate risk in algorithms.

A well written book on such a topic would likely make you rich indeed.

A new religion? Sign me up.

12 Angry Agents

I know it's a draft but why on earth people cannot use page formats the same (more or less)?

Material (full page) material material, sources at the end. Simple. Readable.

Material (half page), sources (half page). Material/source. Material/source. Looks quite unreadable to the eye.

Sooner or later this will hit the VCs. Translated into a mass underfunding.

Adriano Olivetti (1960) Mario Tchou (1961)

they were not joking but... joking? when big tech is all rolled into a giant ball, wrapped with money and duct tape, it's hard to get these jokes.

Weird thing is, Gemini didn't crack speech-to-speech yet. They have a product but both Anthropic and Google are visibly suffering in speech-to-speech vs OpenAI voice mode.

Actually Sourcegraph's "Amp Code" is testing out a free ad-supported coding agent. Here is a video showing how it works: https://ampcode.com/news/amp-free

"Supported by ads from developer tool partners we’ve carefully chosen"

It's not trying to secretly insert tools into LLM output but directly present the product offering inside the agent area.

At one point, I speculate that Cursor will test this out as well, probably in a more covert way so that tool use paths get modified. Once the industry realizes tool-use-ads, then we're toast.

I'm surprised these pockets of job security still exist.

Know this: someone is coming after this already.

One day someone from management will hear about a cost-saving story at a dinner table, the words GPT, Cursor, Antigravity, reasoning, AGI will cause a buzzing in her ear. Waking up with tinnitus the next morning, they'll instantly schedule a 1:1 to discuss "the degree of AI use and automation"

Exactly and this is hell for programming.

You don't know whose style the LLM would pick for that particular prompt and project. You might end up with Carmack or maybe that buggy, test-failing piece of junk project on Github.

Vibing, not firing at his ML problems.

He's doing a capability check in this video (for the general audience, which is good of course), not attacking a hard problem in ML domain.

Despite this tweet: https://x.com/karpathy/status/1964020416139448359 , I've never seen him citing an LLM helped him out in ML work.

I doubt he's letting LLM creep in to his decision-making in 2025, aside from fun side projects (vibes). We don't ever come across Karpathy going to an LLM or expressing that an LLM helped in any of his Youtube videos about building LLMs.

He's just test driving LLMs, nothing more.

Nobody's asking this core question in podcasts. "How much and how exactly are you using LLMs in your daily flow?"

I'm guessing it's like actors not wanting to watch their own movies.

Junior jobs will come back when blitz-pricing of AI coding products end. Current bosses think these prices with 200/mo to "leave it and auto-code for the whole month, day and night" will stay like this. Of course it won't.

Typical startup play but in massive scale. Junior jobs might come back but not in bulk, still selective, very slowly.