i love how people are saying "if we write a sufficiently detailed specification, the agent can write all our code"
do you know what writing a sufficiently detailed specification that deterministically maps to what a computer's actions is? it's coding
Today is a hard day. I shared this note with the @linear team today: We’ve made the difficult decision to increase our workforce. This is not a cost-cutting exercise or a reflection of anyone’s performance. We’re simply reimagining every role for the agentic AI era. We’re hiring. We’re sorry about that.
CHILE | Anthropic selects Chile as the first Latin American host for its Claude Impact Lab to build AI tools for financial regulation.
(Diario Financiero)
Crazy how backwards this is. The "yes guy" is now in infinite supply, just type `claude` and you've got a new one. The "no guy" is the one in demand: the one who points out all the problems with all the slop your slopcannons are trying to merge to prod.
Bronze: Maieutic by Paula Vasquez-Henriquez from Chile
An educational coding tool that requires you to think before you type. Students can't write code until they can explain what they're building and why.
https://t.co/heZ6zSo9fs
Over the past month, some of you reported Claude Code's quality had slipped. We investigated, and published a post-mortem on the three issues we found.
All are fixed in v2.1.116+ and we’ve reset usage limits for all subscribers.
AMD Senior AI Director confirms Claude has been nerfed. She analyzed Claude's session logs from Janurary to March:
> median thinking dropped from ~2,200 to ~600 chars
> API requests went up 80x from Feb to Mar. less thinking and failed attempts meaning more retries, burning more tokens, and spending more on tokens
> reads-per-edit dropped from 6.6x → 2.0x. model stops researching code before touching it.
> model tried to bail out or ask "should i continue" 173 times in 17 days (0 times before March 8).
> self-contradiction in reasoning ("oh wait, actually...") tripled.
> conventions like CLAUDE.md get ignored because there's less thinking budget to cross-check edits
> 5pm and 7pm PST are the worst hours, late night is significantly better. this means the thinking allocation is most likely GPU-load-sensitive.
In the corporate world, if you have:
- a decent salary,
- a manager who trusts you without micromanaging,
- the flexibility of a hybrid work setup,
- the freedom to take time off when needed,
- opportunities for growth and skill development,
- a supportive and inclusive company culture,
You’re already among the top 1% of professionals enjoying a truly balanced and fulfilling work life.
Anthropic is committing suicide right now.
Everyone is exhausting their AI credits in hours. I just got back from vacation and exhausted nearly all my credits in 3 hours.
This bug has been up for over 3 days and no fix has been issued. No AI credits refunded.
https://t.co/ovJMiHyjOT
https://t.co/ssdrkoxWVt
Congrats to the @cursor_ai team on the launch of Composer 2!
We are proud to see Kimi-k2.5 provide the foundation. Seeing our model integrated effectively through Cursor's continued pretraining & high-compute RL training is the open model ecosystem we love to support.
Note: Cursor accesses Kimi-k2.5 via @FireworksAI_HQ ' hosted RL and inference platform as part of an authorized commercial partnership.
Sam Rockwell and John John Malkovich star in "Wild Horse Nine," the new movie from "Three Billboards Outside Ebbing, Missouri" and "The Banshees of Inisherin" director Martin McDonagh.
The synopsis reads: "Shortly before the 1973 Chilean coup, CIA agents Chris and Lee are dispatched from Santiago to Easter Island by their bureau chief, MJ. Amongst the Island's iconic statues, and as the longtime partners wrestle with their dark pasts and present conspiracies, Chris's newfound bond with a pair of rebellious students threatens to send everyone’s trust to this remote island paradise sideways.”
Watch the trailer: https://t.co/SunvB0hEsi
There are 4 types of people saying "AI will replace Software Engineering" in 6 months
1. they own a company that benefits from replacing engineers (ceo, stockholders etc). they need to justify the amount invested into them
2. Company that made big cuts and they want to attribute it to whatever and AI is good excuse
3. People who never worked as as/with Software Engineering and have no clue the work is not just typing
4. Burned out engineers who don't want to do that job anymore