Nikola Ristic @TheRealTestify

💡One thing I’ve noticed when working with AI I get distracted while it’s thinking. I ask a question, wait for the response, and in those few seconds I start checking something else, scrolling, or procrastinating. By the time the answer arrives, I’ve lost focus and sometimes don’t even feel like continuing the work. Has anyone else experienced this “AI waiting procrastination”? If so, what do you do to stay focused while AI is working in the background?

Well, it was fun while it lasted

Anthropic @AnthropicAI

2 weeks ago

The US government, citing national security authorities, has issued an export control directive to suspend all access to Fable 5 and Mythos 5 by any foreign national, whether inside or outside the United States, including foreign national Anthropic employees. The net effect of

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What are your experiences so far with Fable 5 from Anthropic? Any interesting new use cases, maybe in the cybersecurity space? #anthropic #claude #artificialintelligence #buildinpublic

@runaway_vol Be less busy and more present. Too often, we rush from one task to the next without pausing to appreciate what we’re doing. We move through our days on autopilot, focused on what’s next instead of experiencing what’s happening right now.

Just because you can measure something doesn’t mean it matters Big Tech may be learning this lesson the hard way with AI. Amazon mandated that 80% of developers use AI weekly and built dashboards tracking token consumption. So employees adapted. They're running AI agents on personal tasks, auto-drafting emails nobody reads, using sub-agents to analyze Slack threads for fun. One Amazonian openly bragged about burning tokens to roast his PM. Other Big Tech companies also have these dashboards in place. Everyone is measuring token usage, as if the tokens are the productivity. Once a metric becomes a target, people start optimizing for the metric rather than the outcome. This is the McNamara Fallacy in the digital age. In the Vietnam War, U.S. Secretary of Defense Robert McNamara counted dead bodies as a metric for whether the U.S. was winning the war, because bodies were easily countable. Morale, legitimacy, the will of the enemy were ignored because they were harder to measure. In the end America won every metric and lost the war. Sociologist Daniel Yankelovich summarized the trap: "Measure what's easy, dismiss what isn't, then pretend the unmeasurable doesn't exist." The tech industry has been falling into the same trap for decades. We count the effort, not the result: → Lines of code written, not problems actually solved. → Tests run, not real risks caught. → Tasks automated, not reliability gained. → Tokens burned, not increased quality of work. A metric that exists just to show a number isn't measuring anything. So before you roll out a dashboard, ask yourself: Will this metric just measure output, or will it actually drive a better outcome?

@Tristanrhee3 @ProtonPrivacy 🚀

@dwarkesh_sp @sama Sam Altman

Maybe it’s just me, but I get the feeling that the audience isn’t that into AI like he is…

BladeoftheSun @BladeoftheS

a month ago

Google CEO tries to tell University students to love AI. They tell him to BOO off. This is what most people think of the hated AI, we don't want it.

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@LewisHowes Exercise

@pmitu Always do what others tell you and bend over backwards to please them

@thedankoe If you don't write down your own ambition, someone else will do it for you.

💡 Communication lesson 101: The message isn't what's sent. It's what's received. Same words. Different context. Completely different outcome. Before you say "Hey buddy"...know which circle you're standing in.

@elonmusk How about opening an office in Switzerland 🇨🇭

@elonmusk North Korea is officially called the „Democratic People’s Republic of Korea“ (DPRK) …therefore it is a democracy and not a dictatorship 🤔

That feeling when the Claude ecosystem (Code, Cowork, Dispatch, Chrome Extension) finally works and you're finally making progress

@PeterDiamandis Starting a company was never the hard part. Keeping it alive is...

Nuclear power is an incredible technology. But once trust was lost, adoption slowed for decades. AI could face the same fate. The real bottleneck isn’t necessarily capability. It’s whether people trust the technology enough. Will people trust AI fully? Should they trust AI fully?

Don’t think in terms of white-collar vs blue-collar jobs being replaced by AI Think in terms of repetitive tasks. AI will automate tasks that are predictable and repeatable, no matter the profession. Stop doing on repetitive work and start focusing on harder, more interesting problems.

@Dostoevskyquot Masterpiece

You’ve probably seen this chart everywhere on social media. Before taking it at face value, ask a few simple questions: • What does the company that published it actually sell? In this case: technology that should replace human work. Therefore they will only publish something that helps them sell this idea • Can you really reduce someone’s job to a list of isolated tasks? If some tasks get automated, that often frees time for others...innovation, research, problem solving. • And remember: theory and practice are very different. Just because something is theoretically possible doesn’t mean it’s practical at scale. Real adoption is usually far messier than the charts suggest. AI will absolutely change how we work. But it’s still worth thinking critically and applying a bit of logic before accepting every viral graph.