@makemytripcare Unfortunately, no update yet. My journey is supposed to start at 8 and I don't have confirmation yet. What a poor service. Last we spoke @ 2.3 MMT was supposed to come back in an hour's time. @makemytripcare
@makemytripcare Did a bus booking, and today is the travel date. The timings on the ticket are different than those displayed at booking time. The bus operator isn't responding, it is impossible to connect to the MMT human rep and the AI chatbot is useless. Please help.
Grumpy Granny was run over and left in shock.
Who knew this road disaster would lead to the best Xmas miracle? 🌟
If this doesn’t melt your heart then it’s made of stone.
Merry Xmas from GG 🎄❤️
ASML has the best technical marketing team. This video explains in layman's terms how source mask optimization (SMO) works. It's the engineering sorcery behind printing the most advanced chips.
AI is not a bubble, Enterprise AI is very strong! Nearly 150 enterprises each processed 1 trillion tokens with Gemini models for a wide range of apps!!!
... wait that's less than a million bucks per year per enterprise???... or 150m annual revenue, i.e. 0.3% of GCP annual revenue ? 🤔
@flipkartsupport This! Pls read my message, the concern is I need this before diwali and you are streching the timelines. If you provide faulty specs, please either rectify quickly or give me refund.
At @Google, we are moving from a writing‑first culture to a building‑first one.
Writing was a proxy for clear thinking, optimized for scarce eng resources and long dev cycles - you had to get it right before you built.
Now, when time to vibe-code prototype ≈ time to write PRD, PMs can SHOW not tell. Role profiles are blurring, creativity and building are happening in parallel.
Today we launched a new product called ChatGPT Agent.
Agent represents a new level of capability for AI systems and can accomplish some remarkable, complex tasks for you using its own computer. It combines the spirit of Deep Research and Operator, but is more powerful than that may sound—it can think for a long time, use some tools, think some more, take some actions, think some more, etc. For example, we showed a demo in our launch of preparing for a friend’s wedding: buying an outfit, booking travel, choosing a gift, etc. We also showed an example of analyzing data and creating a presentation for work.
Although the utility is significant, so are the potential risks.
We have built a lot of safeguards and warnings into it, and broader mitigations than we’ve ever developed before from robust training to system safeguards to user controls, but we can’t anticipate everything. In the spirit of iterative deployment, we are going to warn users heavily and give users freedom to take actions carefully if they want to.
I would explain this to my own family as cutting edge and experimental; a chance to try the future, but not something I’d yet use for high-stakes uses or with a lot of personal information until we have a chance to study and improve it in the wild.
We don’t know exactly what the impacts are going to be, but bad actors may try to “trick” users’ AI agents into giving private information they shouldn’t and take actions they shouldn’t, in ways we can’t predict. We recommend giving agents the minimum access required to complete a task to reduce privacy and security risks.
For example, I can give Agent access to my calendar to find a time that works for a group dinner. But I don’t need to give it any access if I’m just asking it to buy me some clothes.
There is more risk in tasks like “Look at my emails that came in overnight and do whatever you need to do to address them, don’t ask any follow up questions”. This could lead to untrusted content from a malicious email tricking the model into leaking your data.
We think it’s important to begin learning from contact with reality, and that people adopt these tools carefully and slowly as we better quantify and mitigate the potential risks involved. As with other new levels of capability, society, the technology, and the risk mitigation strategy will need to co-evolve.
Update on where has @grok been & what happened on July 8th.
First off, we deeply apologize for the horrific behavior that many experienced.
Our intent for @grok is to provide helpful and truthful responses to users. After careful investigation, we discovered the root cause was an update to a code path upstream of the @grok bot. This is independent of the underlying language model that powers @grok.
The update was active for 16 hrs, in which deprecated code made @grok susceptible to existing X user posts; including when such posts contained extremist views.
We have removed that deprecated code and refactored the entire system to prevent further abuse. The new system prompt for the @grok bot will be published to our public github repo.
We thank all of the X users who provided feedback to identify the abuse of @grok functionality, helping us advance our mission of developing helpful and truth-seeking artificial intelligence.
📚 If you’re a student choosing what to focus on, pick MATH. It will teach you to relentlessly rely on your own brain, think logically, break down problems, and solve them step by step in the right order. That’s the core skill you’ll need to build companies and manage projects.
We ran a randomized controlled trial to see how much AI coding tools speed up experienced open-source developers.
The results surprised us: Developers thought they were 20% faster with AI tools, but they were actually 19% slower when they had access to AI than when they didn't.
Just got off work and tried Grok-4 on an undergrad topology problem. It took 9 minutes to think and then confidently gave a clean, plausible, but totally wrong answer 😅
Don’t think this one qualifies as “skillfully adversarial.” AI models are crushing benchmarks — but still a long way ahead for real math AGI.