Aditya Chaturvedi

@_devalopr @theyeastindian @aravind @ndtv So what is the problem? Keeping fair low cannot come at the cost of basic quality of service and safety. The rule applies equally to all airlines so it doesn't change the market dynamics in any way.

@theyeastindian @aravind @ndtv Nope. Air India isn't even profitable. If they have to make 60% of the seats free, they'll have to increase the base price to keep the total revenue the same. Basic finance. The few free seats you had will get more expensive

@GeminiApp image editing has weird #bugs. - Downloading an image sometimes returns a completely different image from the same chat thread. - Downloading an image sometimes returns garbage output broken almost. @NanoBanana

One of the simplest feature I miss in @GeminiApp is the ability to delete a chat message within a chat and essentially clean the context of conversations that went in the wrong direction, specially for image editing.

@SeongWooIQ300 Literal lack of finance knowledge. Math works when you owe the bank at the end of 10 years. In reality, you need to pay annually. That payment if invested in an index over several years would be a much larger value.

@oyegpt Sounds cool use of old phones at home. But why not just raspberry pi if you want to scale. Using phones will be awesome if there is a use case of camera and sensors though.

I did IT !! Those old android phones which enviromentalists tell me to recycle? Turned it into a 24/7 #clawbot server Twitter research. Market monitoring. All running on cheap models like glm-4-flash or kimik2.5. Cost: $0 total. Efficiency: Better than a mac mini Remote access from your computer or main phone. Deploy skills, Set up cron jobs, Telegram bot. Code & Ship. Power draw: 3–5W per device. PLUS IT HAS A BATTERY !! Don’t have a spare phone? I am calling it out now, this is going to be huge. Better buy f**ked up old androids on ebay. Digital ocean and Railway just lost their lunch to a rusty old android. P.S. Should I publish a complete guide?

@vkhosla @elonmusk @Tesla @SpaceX @X WAGA is also fine. Problem is with OWAGA... "Only WAGA", the rest don't count or are considered 2nd class .

.@elonmusk doesn't want MAGA, he wants WAGA or "white America great again" as a racism is great and desirable" paradigm. All non-whites in @tesla, @SpaceX @X etc and all decent whites should quit and join our portfolio. Email us your linkedin!

@elonmusk #FSD pricing is way too high given it is a complete on-device process and does not occur any operational cost to @Tesla . A future of abundance is more likely to start with a 25$ subscription.

I should also mention that the $99/month for supervised FSD will rise as FSD’s capabilities improve. The massive value jump is when you can be on your phone or sleeping for the entire ride (unsupervised FSD).

Study reveals #LLM users have poor cognitive connection. I am putting myself on AI diet. One day of work per week dedicated to not using #AI. media.mit.edu/publications/y…

#AGI = Ads Grubstaking Intelligence! 😂

@elonmusk @paulg Unfortunate for America that two of the most intellectual people on the planet are polarizing the situation by taking sides instead of asking for clean investigation and evidence like body cam footage.

@paulg She tried to run people over

ICE just shot and killed a woman Minneapolis. A US citizen. How long before we say "Enough is enough?"

Happy 2026! Will this be the year we finally achieve AGI? I’d like to propose a new version of the Turing Test, which I’ll call the Turing-AGI Test, to see if we’ve achieved this. I’ll explain in a moment why having a new test is important. The public thinks achieving AGI means computers will be as intelligent as people and be able to do most or all knowledge work. I’d like to propose a new test. The test subject — either a computer or a skilled professional human — is given access to a computer that has internet access and software such as a web browser and Zoom. The judge will design a multi-day experience for the test subject, mediated through the computer, to carry out work tasks. For example, an experience might consist of a period of training (say, as a call center operator), followed by being asked to carry out the task (taking calls), with ongoing feedback. This mirrors what a remote worker with a fully working computer (but no webcam) might be expected to do. A computer passes the Turing-AGI Test if it can carry out the work task as well as a skilled human. Most members of the public likely believe a real AGI system will pass this test. Surely, if computers are as intelligent as humans, they should be able to perform work tasks as well as a human one might hire. Thus, the Turing-AGI Test aligns with the popular notion of what AGI means. Here’s why we need a new test: “AGI” has turned into a term of hype rather than a term with a precise meaning. A reasonable definition of AGI is AI that can do any intellectual task that a human can. When businesses hype up that they might achieve AGI within a few quarters, they usually try to justify these statements by setting a much lower bar. This mismatch in definitions is harmful because it makes people think AI is becoming more powerful than it actually is. I’m seeing this mislead everyone from high-school students (who avoid certain fields of study because they think it’s pointless with AGI’s imminent arrival) to CEOs (who are deciding what projects to invest in, sometimes assuming AI will be more capable in 1-2 years than any likely reality). The original Turing Test, which required a computer to fool a human judge, via text chat, into being unable to distinguish it from a human, has been insufficient to indicate human-level intelligence. The Loebner Prize competition actually ran the Turing Test and found that being able to simulate human typing errors — perhaps even more than actually demonstrating intelligence — was needed to fool judges. A main goal of AI development today is to build systems that can do economically useful work, not fool judges. Thus a modified test that measures ability to do work would be more useful than a test that measures the ability to fool humans. For almost all AI benchmarks today (such as GPQA, AIME, SWE-bench, etc.), a test set is determined in advance. This means AI teams end up at least indirectly tuning their models to the published test sets. Further, any fixed test set measures only one narrow sliver of intelligence. In contrast, in the Turing Test, judges are free to ask any question to probe the model as they please. This lets a judge test how “general” the knowledge of the computer or human really is. Similarly, in the Turing-AGI Test, the judge can design any experience — which is not revealed in advance to the AI (or human subject) being tested. This is a better way to measure generality of AI than a predetermined test set. AI is on an amazing trajectory of progress. In previous decades, overhyped expectations led to AI winters, when disappointment about AI capabilities caused reductions in interest and funding, which picked up again when the field made more progress. One of the few things that could get in the way of AI’s tremendous momentum is unrealistic hype that creates an investment bubble, risking disappointment and a collapse of interest. To avoid this, we need to recalibrate society’s expectations on AI. A test will help. If we run a Turing-AGI Test competition and every AI system falls short, that will be a good thing! By defusing hype around AGI and reducing the chance of a bubble, we will create a more reliable path to continued investment in AI. This will let us keep on driving forward real technological progress and building valuable applications — even ones that fall well short of AGI. And if this test sets a clear target that teams can aim toward to claim the mantle of achieving AGI, that would be wonderful, too. And we can be confident that if a company passes this test, they will have created more than just a marketing release — it will be something incredibly valuable. [Original text: deeplearning.ai/the-batch/issu… ]

Sam Altman texts Elon Musk February 18, 2023

@SanDiegoKnight This is just a stupid attempt to confuse people by mixing measurement scales. You are mentioning total population statistics then also mention that over 20M illegal immigrants and asylum seekers are currently present too. Now use some brain and tell which should be fixed first.

People keep saying “it’s only 85,000 H-1Bs.” That’s just the front door. If you count the full immigration workforce pipeline, the real number looks nothing like 85k: 🔹 Active H-1B holders: ~600,000+ (Gov data) 🔹 OPT workers: ~600,000–800,000 (STEM OPT extensions included) 🔹 H-4 dependents eligible to work: ~200,000+ 🔹 PERM labor certifications pending: ~500,000+ (multi-year backlog) 🔹 Green cards pending employment categories: ~500,000+ (not counting family categories) Add it up: That’s ~2.4M–2.6M foreign workers currently in U.S. jobs or in line for U.S. jobs … and that doesn’t even count long-term dependents beyond H-4 or alternative visas used interchangeably with H-1B roles. So no …it’s not “just 85k.” It’s hundreds of thousands of foreign workers cycling through the same labor market every single year …. often in the same jobs that Americans are told there’s a “shortage” in. That’s the system nobody wants to count when they say H-1B “isn’t a big deal.” @RepGosar @SenEricSchmitt @chiproytx @RonDeSantis @realDonaldTrump

@deedydas It has nothing to do with numbers. H1b is the biggest issue in US right now because people of Indian origin started gaining political power. Before Indians were restricted to bay area offices so no one cared about H1B. This narrative can't b defeated by just talking about numbers

– O-1B is mostly OnlyFans girls – Minnesota is taken over by Somalis – 500k Venezuelans trying to cross the border last 2yrs – 500k green cards a year from chain migration on family visas – 1M illegal immigrants a year America: "Yep, I see the problem. It's the 85k H-1Bs."

😂

@benkellyone If you sell me a business making 300K per year for 1M, I will buy it cash. If you weren't a random course seller, you would know that most businesses at least sell for 5x their profits.

The math is simple: • Find a business making $300k/year • Buy it for $1M using 90% SBA loan • Find investor for $100k down (15% equity) • Hire GM for $70k/year • Pay investor $45k/year • Keep $85k/year profit You just bought a salary with $0 down. This is how you escape the Matrix.

@PMOIndia should take the lead to formalize universal basic income and consolidate all these payout schemes into one. With #AI increase joblessness, getting a head start on UBI will soften the blow.

@paulg The real issue with inequality isn't the distribution of luxury, but of access. We see a bifurcation. Compounding wealth accumulation at the top vs. compounding deprivation (health/education) at the bottom. One group plays a game of leverage and the other plays a game of survival

The rational fear of those who dislike economic inequality is that the rich will convert their economic power into political power: that they'll tilt elections, or pay bribes for pardons, or buy up the news media to promote their views.

@abxxai You don't need to do all this manual work. Just install #GoogleOne app and use the smart storage cleaner feature it provides.

If Gmail refuses to receive new emails because storage is maxed out, do this NOW. I hope this helps you as it has helped me:

@botbrews Mine is to beat yours by going to the gym 4 times a year. That too just to check out different gym memberships.

My new year commitments : - Improve health markers. - launch and grow my microsaas (postoracle.com and vibeward.dev) - quit smoking - go to gym atleast 3 times a year - read 5 research papers What are yours? (Sorted by priority)