Aaditya Barak

Introducing Phonic-1, the most advanced speech-to-speech model for agentic tasks — from @phonic_co, the speech-to-speech model company. We’ve had a breakout year and raised a $27.5M Series A led by @firstround with participation from @Lux_Capital, @felicis, and Definition.

昨今のセキュリティーインシデント祭により、社内でずっと言い続けても無視されてきた、「ちゃんとパッチあてろ」「EoLしてるOS・ミドルウェア入れ替えろ」「ポート全開放やめろ」「APIキー・アクセスキーの乱用・放置やめろ」などの提言がいきなり聞き入られるようになってきて、正直むしろ嬉しい

These kinds of shenanigans is how I got hearing damage. I had a 1U server in my room for years and now I have tinnitus and hearing difficulties. Don't be stupid, protect your ears.

❗️ Lenovo's ThinkPlus FU100 fingerprint stick was marketed as "hardware encrypted" with AES-256, but inside was an ordinary SD card with nothing encrypted. The fingerprint only switched on the USB link, researcher Xusheng Li found. Lenovo's stopgap fix covered the card in epoxy.

I had my Muse agent put me on the National Do Not Call/Text Directory. By law telemarketers and other companies have 30 days to scrub my number from their lists. Otherwise Muse will automatically start logging every violation and will skip trace and go after every single one of the violations and hopefully collect between $500 and $1,500 per violation. Let's see how this goes.

【緊急】AIスーパーコンピューター（90億円）、メルカリ感覚でeBayに出品されてしまう。NVIDIA A100を9,600基積んだ300ラックの巨大スパコンが出品中。 狂ってるのはスペックじゃなくて配送設定。 ・地元引き取り：無料 ・翌日配送：わずか7,500円（$50） 社長「A100のスパコン、eBayに出しといて」 担当「了解です！送料どうします？」 社長「翌日配送で7,500円でよくね？」 担当「数十トンのデータセンターをクロネコヤマト感覚で送るな！！！」 【個人的なツッコミどころ】 ・「カートに1人入っています」の表示（誰だよ） ・コンセントに挿した瞬間に町内会ごと停電する電力スペック ・数年前までGAFAが奪い合った神チップが、いまや粗大ゴミ扱い 技術の陳腐化が早すぎて「90億円の巨大インフラが宅急便感覚で売られる」というSFの現実化。

This is INSANE. Cisco’s president Jeetu Patel has given a 27-year-old engineer unlimited AI tokens to try to rewrite 98% of the company’s legacy code within 24 months, Fortune reports. Padmanabhan Krishnamurthy thinks he can do it with a two-person team. He has just four weeks to prove the approach.

NUNCA FAÇA LOGIN COM O GOOGLE NUNCA FAÇA LOGIN COM O GOOGLE NUNCA FAÇA LOGIN COM O GOOGLE NUNCA FAÇA LOGIN COM O GOOGLE NUNCA FAÇA LOGIN COM O GOOGLE NUNCA FAÇA LOGIN COM O GOOGLE NUNCA FAÇA LOGIN COM O GOOGLE

In 2026, "I built an app" is starting to sound a lot like "I made a PowerPoint."

Neuralink’s first product is called Telepathy. It enables high-speed communication with computers or humans simply by thinking. Output bandwidth will vastly exceed the fastest human speech or typing in a few years. Read that sentence again.

Justifying each of my questionable financial decisions with the fact that we’re headed towards a future of abundance Don’t be like, totally reckless, but also most of it won’t matter in a few years anyway

To remove this "Co-authored-by: Claude" crap: ~/.claude/settings.json { "attribution": { "commit": "", "pr": "" }, "includeCoAuthoredBy": false }

Someone had a computer play Monopoly 312 million times to find the best strategy. The winning bot won 43% of games. Its strategy: buy every property you land on, never hoard cash, and take out mortgages to get three houses as fast as possible. Pretty sure it works outside the board game too 👀

Just spoke to the Head of AI at a huge company. The #1 thing they're struggling with is... what do I do with the AI laggards at our company? Like most companies, they’ve found that a Super Pareto Principle is true within their org. 10% of their employees are responsible for 90% of the uplift in productivity/token usage from software engineering to non-technical knowledge work. They’ve spent a lot of time & resources on AI enablement from LLM foundations to function-specific trainings and skill building. And yet, the power law of productivity increases hasn’t budged. So now they’re left with a few sobering thoughts and hard questions: 1) 90% of people are overpaid and 10% are underpaid 2) We’d be better off allocating tokens proportionally to the power law, but how do we do that without killing culture? 3) Significant layoffs are likely warranted and wouldn’t impact overall output, but cultural backlash is a big concern? 4) How do we hire more power law people as a non technology company? 5) Is all of our efforts on training and enablement ACTUALLY worth it? 6) How do we not experience a brain drain where the top 10% all leave because they want to be surrounded by other AI-native 10x’ers?

it's gonna be hilarious when everyone looks back 6 months from now and remembers getting $5K in inference for $200 a month...

AIバブルの最後の出口が「カセットテープ」やな... 世界中のAIデータの最終保管先はいまもLTO磁気テープ。保存コストはHDDの1/4、電気ゼロ、ネットから切れとるからランサムも届かん。 →で、このテープの磁性体を量産できるの、世界で富士フイルムとソニーの2社だけ 半導体はNVIDIAのもんやけど、倉庫の地主は日本やった...

At work (R&D at a fortune 500 company w/ 15k+ employees), every time a SaaS pitches their product, my first question in the review meeting is, "Why don't we just build this ourselves?" In the past, there were always good answers to that question. Today, I can't think of any. If we can point an agent at any website or demo, have it research the broader problem for 72 hours, build the product with a focus on our specific needs, with any extra features we want, AND save a million a year why would we pay for your SaaS? Scale? It only has to scale to 15,000 employees and a few million customers. We don't have the same scaling problem you do serving 1,000 businesses with 100s of million of customers. Scale is a non-issue. Reliability? Your 99.9% self-reported uptime is not impressive. We can pay to host an app on a hyperscaler too. And when we do it, we know with certainty whether the uptime number is true or not. Github's official status page reports ~99% uptime. The Missing GitHub Status Page reports 93%. Reliability is a non-issue. Bugs? You think your SaaS product doesn't have bugs to work out? I've seen bugs in third party products cost our company millions. Everyone is shipping early and often. Including your SaaS. Every piece of software has bugs. But there is a big difference between a bug in your code and a bug in ours. When the bug is in your code, we are at your mercy. Maybe you put it into Jira immediately. Are you going to bypass sprint planning? You won't have a fix for two weeks. Maybe you'll fail to reproduce and blame our code. Maybe it is our code. Maybe its an interplay. Since you don't have our code and we don't have your code, how are we going to figure that out? If it's all our code, an employee can fix it in an hour. If we need to, we can throw ten engineers with agents in a call until it's reproduced, the fix is merged, and it's validated. Bugs are a non-issue. Bandwidth? Agents are nearly autonomous now. They don't need to be babysat. I can spin up a project and let an agent run for 50 hours, have it build a PowerPoint and walk into a demo with leadership blind. If anything breaks, "I'm still working on that." Things always break in demos. Nobody cares. If leadership proposes a feature, the answer is, "Yeah, great idea, I can add that." Because I can. Bandwidth is a non-issue. Maintenance? We have so much prior art, inputs and outputs, we can benchmark anything. We have autonomous PR systems built on top of in-app feedback SDKs so even the non-dev users can contribute to every app or service. Even our analytics systems are tied to automated PRs. Maintenance is a non-issue. Support? It doesn't matter how much we're paying a month for your platinum level enterprise support when our point of contact has to fetch the one dev who already went home for every non-trivial incident. The incident is never trivial. We already checked the top 10 things it could be because that was faster than asking you. Support is a non-issue. Expertise? Agentic research. We can build anything. Expertise is a non-issue. Cost? The cost of intelligence has gone down 100x every year. You're still charging 2022 prices. You should be charging closer to your electricity costs. Cost is a non-issue. At this point, the only reason we don't switch off existing services is that transitioning 15,000 employees to something else is a pain in the butt. It would be a pain in the butt even with a perfect bug-free, infinitely scalable, perfectly-reliable clone. Your new SaaS doesn't have that moat. But it does give me an idea for a product to build.

DevOps might be the only engineering role AI won't replace.

every product i use should just be a headless mcp, that feeds into an agent, where i never have to think about anything underneath. except for our product, of course. in our product, customers love the ui and love us very much. we're special that way.

If you work at MSFT and are below VP - I think you should take the their voluntary exit package. It is a clear sign that they need to cut costs & you have no way of knowing when / who’ll be axed. The severance they’ll offer later will be 3-4 months but the VEO gives you 9 months of pay. Take the money, take the year off, go see the world, learn music, get fit, spend time with family, work on that side project, do whatever calls you. 9 months of paid leave is a super generous deal from Microsoft.