Kestas Barzdaitis

588 posts

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Kestas Barzdaitis

Kestas Barzdaitis

@kaskas

Engineer, Technologist, Entrepreneur, and Investor. A believer in science, AI, focused progress, and human relationships. Building AI and Tech products.

United States Katılım Ekim 2007
617 Takip Edilen235 Takipçiler
Kestas Barzdaitis retweetledi
Andrej Karpathy
Andrej Karpathy@karpathy·
Cool chart showing the ratio of Tab complete requests to Agent requests in Cursor. With improving capability, every point in time has an optimal setup that keeps changing and evolving and the community average tracks the point. None -> Tab -> Agent -> Parallel agents -> Agent Teams (?) -> ??? If you're too conservative, you're leaving leverage on the table. If you're too aggressive, you're net creating more chaos than doing useful work. The art of the process is spending 80% of the time getting work done in the setup you're comfortable with and that actually works, and 20% exploration of what might be the next step up even if it doesn't work yet.
Andrej Karpathy tweet media
Michael Truell@mntruell

x.com/i/article/2026…

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Kestas Barzdaitis
Kestas Barzdaitis@kaskas·
Companies continue to move labor to usage-based pricing. You can now rent a humanoid robot for €899/day across 17 countries. AGIBOT launched Robot-as-a-Service at #MWC26. The SaaS model, but for physical agents. KDDI plans to deploy physical AI humanoid robots in its retail shops, medical facilities, museums, and recreational centers.
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Kestas Barzdaitis
Kestas Barzdaitis@kaskas·
ALSO: Anthropic pledged to absorb electricity price increases at its data centers and cover grid infrastructure costs. Training a single AI model now requires gigawatts of power. This move matters as much as funding itself. It will give Anthropic the social license to operate AI at scale that requires more than technical ability. The constraint on AI isn't models anymore. It's MW.
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Bloomberg TV
Bloomberg TV@BloombergTV·
Anthropic has completed a deal to raise $30 billion in funding from investors at a $380 billion valuation, including the money raised. @EdLudlow has more bloom.bg/46PG7Uv
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Elon Musk
Elon Musk@elonmusk·
We will make the new 𝕏 algorithm, including all code used to determine what organic and advertising posts are recommended to users, open source in 7 days. This will be repeated every 4 weeks, with comprehensive developer notes, to help you understand what changed.
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Andrej Karpathy
Andrej Karpathy@karpathy·
The hottest new programming language is English
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Y Combinator
Y Combinator@ycombinator·
Andrej Karpathy's (@karpathy) keynote yesterday at AI Startup School in San Francisco.
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Andy Jassy
Andy Jassy@ajassy·
One of the most tedious (but critical tasks) for software development teams is updating foundational software. It’s not new feature work, and it doesn’t feel like you’re moving the experience forward. As a result, this work is either dreaded or put off for more exciting work—or both. Amazon Q, our GenAI assistant for software development, is trying to bring some light to this heaviness. We have a new code transformation capability, and here’s what we found when we integrated it into our internal systems and applied it to our needed Java upgrades: - The average time to upgrade an application to Java 17 plummeted from what’s typically 50 developer-days to just a few hours. We estimate this has saved us the equivalent of 4,500 developer-years of work (yes, that number is crazy but, real). - In under six months, we've been able to upgrade more than 50% of our production Java systems to modernized Java versions at a fraction of the usual time and effort. And, our developers shipped 79% of the auto-generated code reviews without any additional changes. - The benefits go beyond how much effort we’ve saved developers. The upgrades have enhanced security and reduced infrastructure costs, providing an estimated $260M in annualized efficiency gains. This is a great example of how large-scale enterprises can gain significant efficiencies in foundational software hygiene work by leveraging Amazon Q. It’s been a game changer for us, and not only do our Amazon teams plan to use this transformation capability more, but our Q team plans to add more transformations for developers to leverage.
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codefactor.io
codefactor.io@CodeFactor_io·
CodeFactor is now using StyleCop.Analyzers to report C# code complexity and various issues based on .NET Compiler Platform. We support all major .NET versions, including .NET 9 Preview! 🚀🌟 #csharp #dotnet #codereview #codequality
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Kestas Barzdaitis
Kestas Barzdaitis@kaskas·
Data is gold. Processing power is just a cost of energy. Restating the obvious?
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codefactor.io
codefactor.io@CodeFactor_io·
Rolled out latest version of Linter for Dart with new lints, fixes and Dart 3.0.0 support. 🎊 #dart #codereview #codequality
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Daymond John
Daymond John@TheSharkDaymond·
Been a while since we've done a pitch test: Describe your business in three words in the replies!
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