“It should be noted that no ethically-trained software engineer would ever consent to write a #DestroyBaghdad procedure. Basic professional ethics would instead require him to write a #DestroyCity procedure, to which Baghdad could be given as a parameter.” — @drmime, 1992 😂
Connect the dots yourself:
✅ Competitor silenced under emergency law
✅ Subscription monetization begins immediately
✅ CRED’s financial data + WhatsApp’s communication data now in the same ecosystem
✅ Supreme Court’s privacy warnings ignored
✅ 500M users. Zero real alternative. Zero public debate.
This government didn’t protect your data from Meta.
It helped Meta build a monopoly over it.
When the election cycle heats up, ask: who controls what you read, share, and forward?
As an end-user, choosing between the apps I love (and paid for) VS advanced security is not a decision that I can take easily.
There must have been a more elegant way.
Something weird happening with Advanced Protection in @Android 17.
If AP is turned on, it will block all apps using accessibility permission, even though installed from @GooglePlay Store.
@9to5Google@AndroidAuth
As much as I love Android along with its openness and security, some changes are too blunt for users.
This was under testing in A17 Canary builds earlier, but no announcement from @Google around the changes in Advanced Protection Mode happened with the Stable's announcement.
no-code platforms break standard SDLC practices.
Worked with maintaining & upgrading & managing a specific "no-code" platform's codebase & releases for 6 months... have seen enough.
Token volume is easy to manipulate. (Goodhart's Law)
The real metric is how quickly another engineer in your team can understand and change the output six months later without the original prompter.
The industry has gone completely nuts.
Use tokens to generate AI code and documentation slop. Then use even more tokens to understand and review that slop.
Then judge engineers by token usage instead of how empathetic and clear their docs and code actually are, and completely neglect human comprehension.
Utter nonsense.
- focus on health data & "personal intelligence" -> more user adoption & generic usecases
- closed model -> API monetization (?), no more developer goodwill
- is meta betting on the scenario that making answers better/richer will drive more user base, which will bring in more dev-adoption, and so API revenue? 👀💸
1/ today we're releasing muse spark, the first model from MSL. nine months ago we rebuilt our ai stack from scratch. new infrastructure, new architecture, new data pipelines. muse spark is the result of that work, and now it powers meta ai. 🧵
- Is Meta betting that multi-agent orchestration at inference is the next scaling paradigm.. ?
- imo its most likely replacing "train a bigger model" with "coordinate smarter agents" approach..
- no weights published – closed model 🔐
- MS is not opensource – most likely a pivot after YLC's departure
- Meta retains its distribution moat – fb, wa, insta, rayban
- serving Bns of users with 2x fewer tokens -> more $$$ 🤑
- Is Meta betting that multi-agent orchestration at inference is the next scaling paradigm.. ?
- imo its most likely replacing "train a bigger model" with "coordinate smarter agents" approach..