ojosilva

Education needs to adapt. Currently CS graduates barely compete with Gemma-4 26b in programming while seniors are feeding tons of expertise at armies of frontier AI agents. The market now needs junior employees good at "using AI like an expert". Once employers see that junior armed with AI can replace senior at half the salary, we're back where we were 10 years ago.

Senior (now): - AI build me an app that uses a graph DB that will deploy in the edge. Batch DB requests to keep costs low. Oh, use good cache + memoization to reduce hits. Write great tests, some logging and implement hot-reloading for a great dev-to-ops workflow that is also resilient. Man, before I had to do this all by hand, this is a godsend!

Junior (now): - AI build app please.

Email from boss: Junior! Whatever it is you've deployed, it's making 1M reqs/min to the DB and ate up our quota 2h ago. Shut it down now!

Junior (future): - AI1 design for cost. AI2 eval for performance. AI3 align for business goals. AI4 criticize AI1 and AI2 using top standards. AI5 set up a competing swarm. AI6 here's a budget, spend on real users and action on telemetry and their feedback.

High altitude Equatorial populations and air crew exposures are different beasts. A 10h flight close to the North Pole is like living in Quito for almost a month. The type of dosage (bursts x contínuous) also matters as the body can probably accommodate more easily, but that's just me saying. Then add natural selection to that mix that should have helped prepare high-altitude populations residents for those living conditions, which will heavily skew the data. Finally, the cosmic shower has lost a lot of energy from 12,000m to say 2,500m, so the "hit" is not the same. It all may end up having an exponential effect reducing cancer rates...

So a flight attendant that clocks ~700h a year, that's roughly 5 years of living in Quito in a year of flying in Sieves. Now, given that the air crew studies are not all that conclusive yet, take high-altitude populations at 5x less exposure and all these other factors I've mentioned, and they will end up having an even lower chance of showing up in any cancer studies.

So... not remotely comparable.

Cosmic radiation is mainly protons and heavier nuclei. It's called radiation for legacy reasons, but it's a different beast from Earth's medical CT scans and X-rays which are manly photons.

Cosmic radiation hitting planes is also not the original cosmic protons and He nucleus etc, but secondary N and O nucleus hit by Cosmic particles creating a shower of neutrons, secondary and gamma protons, muons, pions, nuclear fragments... There's also a high dose of photons from these collisions, but proportionally it can be 500x less photons than a CT scan for a 10h USA-Europe flight.

What's biologically significant for air crew are these secondary protons and neutrons, which punch above their weight in damage interactions, they are not comparable to X-rays in Sieve alone.

Teslas do glithcy speed limits readings often, from GPS drift (ie. it thinks the car is on the highway) or may be deceived by some sign with numbers on the street.

When that happens and depending on Autopilot [1] settings, the car will shoot out to reach the new limit. If the driver is distracted enough not to notice or react in time, the car could crash. GPS inaccuracy does sound plausible given Teslas slow down if an abrupt change of direction is near (ie roundabout) per GPS and map data.

The house sits at a corner, not a culthesac.

1. It's not clear the driver allegedly said "autopilot" or "FSD"

Just tell AI to write your copy and that's what you get, overhype-as-a-service.

This is the first impression I got, a glass ceiling on AI that will hit the market hard. Timing was right at the late Friday's let's-avoid-the-crash point, we'll see how this flies on Monday.

But it's also, as sibling comments mentioned, a bend-the-knee between Government and Anthropic. Once OpenAI catches up, and Anthropic lawyers-up as well, it will probably be reversed or morphed into a "models must have the US seal of AI-approval and, therefore and hereafter, we AI-approve the new US-verified Fable 5.1" - which will coincide with a at-large deployment at the DoD, Pentagon, and friends.

Otherwise the Chinese will catch-up and, heavens forbid!

I have it as failover to Opus 4.6 in a Claude proxy internally. People don't notice a thing when it triggers, maybe a failed tool call here and there (harness remains CC not OC) or a context window that has gone over 200k tokens or an image attachment that GLM does not handle, otherwise hunky-dory all the way. I would also use it as permanent replacement for haiku at this proxy to lower Claude costs but have not tried it yet. Opus 4.7 has shaken our setup badly and we might look into moving to Codex 100% (GLM could remain useful there too).

We hit that problem 3 or 4 weeks ago and then we rolled back to version 2.1.44 and that apparently solved the fast consumption issue.

Our problems started when we moved to the claude code installer (it only affected the people who had updated) instead of using the npm version. Last week someone tried the installer version again and problems seem to have gone away. This is somewhat very anecdotal, so take it with a grain of salt.

I'm trying to imagine this new paid app in different angles and versions, ie a new Reddit... Pay to be in there, get paid for being in there, only humans can be in there, ads pay for humans being there, humans use some govt on-line ID system, karma systems improve so that only humans are rewarded, Voight-Kampf captchas, humans mail the app their dna to verify their identity, humans login on a street 24/7 login post (think phone booths).... I just don't see any good, unbreakable, viable and/or sustainable way. We just need to get used to coexist with bots everywhere while we adjust our expectations and social codes. Fast forward until AI is massively on the streets and indistinguishable from us physically (or very distinct and fascinating), and all supposing that we can keep them in control...

Dead internet is the prequel to dead world, let's seize the opportunity to learn how to coexist with synthetics and develop the code that will make life with a higher intelligence species possible on Earth. And remember, we humans vary widely, and just like there are people happy to share LinkedIn slop today, there will be humans gladly living surrounded exclusively by overpowering synthetics. So lower your expectations for universal solutions and focus on niche.

Their target is the Enterprise anyway. So they are apparently willing to enrage their non-CC user base over vendor-locking.

But this is not the equivalent of Oracle over Postgres, as these are different technology stacks that implement an independent relational database. Here were talking about Opencode which depends on Claude models to work "as a better Claude" (according to the enraged users in the webs). Of course, one can still use OC with a bazillion other models, but Anthropic is saying that if you want the Claude Code experience, you gotta use the CC agent period.

Now put yourself in the Anthropic support person shoes, and suppose you have to answer an issue of a Claude Max user who is mad that OC is throwing errors when calling a tool during a vibe session, probably because the multi-million dollar Sonnet model is telling OC to do something it can't because its not the claude agent. Claude models are fine-tuned for their agent! If the support person replies "OC is an unsupported agent for Claude Code Max" you get an enraged customer anyway, so you might as well cut the crap all together by the root.

They did not. Anthropic is protecting its huge asset: the Claude Code value chain, which has proven itself to be a winner among devs (me included, after trying everything under the sun in 2025). If anything, Anthropic's mistake is that they are incapable of monetizing their great models in the chat market, where ChatGPT reigns: ie. Anthropic did not invest in image generation, Google did and Gemini has a shot at the market now.

Apparently nobody gets the Anthropic move: they are only good at coding and that's a very thin layer. Opencode and other tools are game for collecting inputs and outputs that can later be used to train their own models - not necessarily being done now, but they could - Cursor did it. Also Opencode makes it all easily swappable, just eval something by popping another API key and let's see if Codex or GLM can replicate the CC solution. Oh, it does! So let's cancel Claude and save big bucks!

Even though CC the agent supports external providers (via the ANTHROPIC_BASE_URL env var), they are working hard on making it impossible for other models to support their every increasing agent feature set (skills, teleport and remote sessions, LSP, Chrome integration, etc). The move totally makes sense, like it or not.