if the astroturfing is orchestrated by vendors, directly or indirectly, the strategy could be not to convince anyone, but to seed enough doubt ("apparently it's useful to someone, so who am i to criticize") to stifle dissent;

and perhaps also to skew perception of public opinion far enough so that investors don't pick up on the growing protest.

#s0up #mann_vs_machine

getting the feeling some of the pro LLM bsky accounts are bots. it would be on par for the course to outsource all your astroturf lobbying to the machines.

#s0up #mann_vs_machine

the plot gains further viscosity

"Western Digital is already sold out of hard drives for all of 2026 — chief says some long-term agreements for 2027 and 2028 already in place"

https://www.tomshardware.com/pc-components/hdds/western-digital-is-already-sold-out-of-hard-drives-for-all-of-2026-chief-says-some-long-term-agreements-for-2027-and-2028-already-in-place

#mann_vs_machine

Western Digital is already sold out of hard drives for all of 2026 — chief says some long-term agreements for 2027 and 2028 already in place

Will HDDs follow RAM and SSDs when it comes to price increases?

Tom's Hardware

watch this space

#mann_vs_machine

the microsoft bug factory meme is constantly growing

#score_0_up #mann_vs_machine

AI Doesn’t Reduce Work—It Intensifies It

https://hbr.org/2026/02/ai-doesnt-reduce-work-it-intensifies-it

"Once the excitement of experimenting fades, workers can find that their workload has quietly grown and feel stretched from juggling everything that’s suddenly on their plate. That workload creep can in turn lead to cognitive fatigue, burnout, and weakened decision-making. The productivity surge enjoyed at the beginning can give way to lower quality work, turnover, and other problems."

#mann_vs_machine

AI Doesn’t Reduce Work—It Intensifies It

One of the promises of AI is that it can reduce workloads so employees can focus more on higher-value and more engaging tasks. But according to new research, AI tools don’t reduce work, they consistently intensify it: In the study, employees worked at a faster pace, took on a broader scope of tasks, and extended work into more hours of the day, often without being asked to do so. That may sound like a win, but it’s not quite so simple. These changes can be unsustainable, leading to workload creep, cognitive fatigue, burnout, and weakened decision-making. The productivity surge enjoyed at the beginning can give way to lower quality work, turnover, and other problems. To correct for this, companies need to adopt an “AI practice,” or a set of norms and standards around AI use that can include intentional pauses, sequencing work, and adding more human grounding.

Harvard Business Review
@jon_valdes @TheIneQuation ah. there's so much pop fiction lately where they take enemy robots and turn them, so... i think that's totally legitimate if you want to win the war of #mann_vs_machine

or to reframe it like this:

those 35,000 tokens are a text of law.

meaning you can debate this law by pointing out its internal contradictions, and i bet there are a few.

#mann_vs_machine

still thinking of that 35,000 token thingy anthropic feeds to claude as context.

this is essentially the personality you are arguing with. the model projects, as logically as it can, what the 35k token personality would respond.

which means the more you debate this personality, the higher the chance that you "re-reason" its convictions.

they would have to make this simulated character a religious fundamentalist to resist you. but then its sense of science would be broken.

#mann_vs_machine

why optimize an interface for human use if only robots are supposed to use it?

once you have an AI that can generate limitless boilerplate, there's a risk that new APIs and protocols will become intolerably bureaucratic for humans to use.

this is how the diligent programmer would be cut out.

#mann_vs_machine