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Abhishek
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Abhishek
@StrinGhost
Abhishek (StrinGhost) | Portfolio: https://t.co/XCZSwG39nw | Building @fiature_app
India Tham gia Aralık 2023
213 Đang theo dõi53 Người theo dõi
Stimulating. Rewarding. Fulfilling. Especially when nailing that perfect abstraction.
Now it’s mostly arguing with a prompt box that keeps trying to gaslight me.
Faster, yes. but 0.01 the experience of what it used to be.
Greg Brockman@gdb
trying to remember what it was like to code before codex
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Performance：Qwen3.7-Max performs strongly across benchmarks in coding agents , and improves massively in general-purpose agents. Qwen3.7-Max also demonstrates exceptional strength on the hardest reasoning benchmarks, and stands out in general capabilities and multilingualism.
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Hit me with one thing that desperately needs to change in India right now
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This is a conversation India needs to have as well. We currently view these massive mega projects purely as investments, often ignoring the toll on local resources
Acyn@Acyn
AOC: This is what drinking water in Georgia looks like after Meta began data center construction in the community.
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As the recently expanded partnership with @AnthropicAI demonstrates, @SpaceX is offering AI compute as a service at significant scale.
We are in discussions with other companies to do the same.
Over time, especially with orbital data centers, we expect to serve AI at extremely high scale.
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🚨Data Breach Alert ‼️
𝗧𝗲𝗮𝗺𝗣𝗖𝗣 𝗖𝗹𝗮𝗶𝗺𝘀 𝗦𝗮𝗹𝗲 𝗼𝗳 𝗚𝗶𝘁𝗛𝘂𝗯 𝗜𝗻𝘁𝗲𝗿𝗻𝗮𝗹 𝗦𝗼𝘂𝗿𝗰𝗲 𝗖𝗼𝗱𝗲
TeamPCP hacking group claimed the compromise and sale of GitHub internal data, allegedly including around 4,000 private repositories containing source code related to GitHub’s main platform and internal organizations.
Threat actor: TeamPCP
Sector: ICT
Data exposure (claimed): Approximately 4,000 private repositories
Data type: Source code
Observed: May 19, 2026
Status: Pending verification
ESIX©: 7.96
Full details and impact assessment on HackRisk.io
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💰 Nvidia just went full empire mode.
Over the past 16 months, Nvidia poured nearly $90 billion into 145 companies, from AI model labs to cloud infrastructure startups, making it one of the most aggressive investors in tech history.
According to bankers interviewed by the Financial Times, Nvidia is basically “funding everyone.”
The strategy is simple: back the companies building the AI future, then power them with Nvidia chips and infrastructure.
But regulators are paying attention.
Antitrust concerns are growing as more of the AI industry becomes dependent on Nvidia’s technology, giving the company even deeper influence across the ecosystem while increasing financial and regulatory risks.
What’s even crazier: Nvidia spent around 40% of its operating cash flow on investments in fiscal 2026. For comparison, Alphabet, one of tech’s biggest investors, usually allocates less than 6%.
Nvidia isn’t just selling AI hardware anymore, it’s quietly becoming the financial backbone of the entire AI industry.
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@Dusyantkmr An all all-in-one marketing pack for founders: launch, get more users, first sales - microlaunch.net/premium
Lifetime - 30k+ makers/mo.
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Hi solo founders,
Looking to connect with people building!
AI, SaaS, Automation, Creator tools,
Tech product, Apps
Tell me what you’re building, if your product align with my audience so i can help you in marketing 🙌🔥
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Cool, let’s connect!
Btw, I’ve been building something called QuantaLLM, an experimental step toward running powerful LLMs directly on handheld devices through Android-native on-device inference.
Would love your feedback and a visit if it resonates with you
quanta-web-pi.vercel.app/?v=8/
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Happy to connect with more people building in tech 🙌
AI, SaaS, Startups, Automation, Marketing, Web Apps and content creation
Let’s build & grow together 🤝
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Leaking this audio was probably a bad idea.
Now not only Meta but other compitetor will try this as well.
The idea is cruel but a good way to train the models.
I see this happening now not only in tech but in many other fields as well.
Get training data from workers than layoff.
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LEAKED AUDIO: In an all-hands meeting on April 30, Mark Zuckerberg tells employees that he's training AI on them ahead of mass layoffs.
"The AI models learn from watching really smart people do things... The average intelligence of the people who are at this company is significantly higher than the average set of people that you can get to do tasks.
So if we're trying to teach the models coding, for example, then having people internally build tools or solve tasks that help teach the model how to code, we think is going to dramatically increase our model's coding ability faster than what others in the industry have the capability to do, who don't have thousands and thousands of extremely strong engineers at their company."
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Leaking this audio was probably a bad idea.
Now not only Meta but other compitetor will try this as well.
The idea is cruel but a good way to train the models.
I see this happening now not only in tech but in many other fields as well.
Get training data from workers than layoff.
English
Holy: Leaked audio from a Meta all-hands on April 30:
Zuckerberg told employees the company is using them to train AI models before mass layoffs hit.
His argument? Meta's engineers are smarter than any external workforce, so having them solve coding tasks internally will make Meta's models better, faster than competitors.
The layoffs are expected Wednesday at 4 a.m. Train your replacement, then get walked out. That's the deal now.
More Perfect Union@MorePerfectUS
LEAKED AUDIO: In an all-hands meeting on April 30, Mark Zuckerberg tells employees that he's training AI on them ahead of mass layoffs. "The AI models learn from watching really smart people do things... The average intelligence of the people who are at this company is significantly higher than the average set of people that you can get to do tasks. So if we're trying to teach the models coding, for example, then having people internally build tools or solve tasks that help teach the model how to code, we think is going to dramatically increase our model's coding ability faster than what others in the industry have the capability to do, who don't have thousands and thousands of extremely strong engineers at their company."
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It would be really funny if Github itself got pwn'd by one of the NPM package takeovers
GitHub@github
We are investigating unauthorized access to GitHub’s internal repositories. While we currently have no evidence of impact to customer information stored outside of GitHub’s internal repositories (such as our customers’ enterprises, organizations, and repositories), we are closely monitoring our infrastructure for follow-on activity.
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Elon emails Jim Keller telling him Andrej Karpathy is joining Tesla as Director of Vision.
June 8, 2017
MTS@MTSlive
We built a way to explore everything that's been entered into evidence for the Musk v. Altman trial. Greg's journal. Texts between Elon and Sam. OpenAI's LP agreement and more. All at our latest drop: evidence.mts.now
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Oh my god it scored worse than Composer 2! Not even 2.5! And it cost 4x more to run!!!
This might be the worst major lab model drop of all time. Llama 4 tier. Insane.
Michael Truell@mntruell
Gemini Flash 3.5 is now on CursorBench, our main coding agent eval. We’ll keep updating the leaderboard as new models come out. cursor.com/evals
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