Sambit (@SambitBiswas) header
Sambit (@SambitBiswas) profile picture

NYC | Creative Technologist @Google , Photographer and creative running https://xitter.twitterapi.xyz/t.co/bWa3IOiJXO and making fun things

Brooklyn
Joined September 2011
Photo by Sambit (@SambitBiswas)Photo by Sambit (@SambitBiswas)Photo by Sambit (@SambitBiswas)Photo by Sambit (@SambitBiswas)Photo by Sambit (@SambitBiswas)Photo by Sambit (@SambitBiswas)Photo by Sambit (@SambitBiswas)Photo by Sambit (@SambitBiswas)Photo by Sambit (@SambitBiswas)Photo by Sambit (@SambitBiswas)
for the past couple of weeks I’ve been working on a native macOS film/print simulation app. not starting from zero here. this began as a fork of spektrafilm, and a huge part of the work is understanding, porting, and adapting it into a native Mac experience with a Metal renderer.
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check the link for the sounds too :)
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keep Carbon on medium ;)
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Replying to @ZohranKMamdani
@ZohranKMamdani yo why do we have Flock cameras in NYC? 👀👀
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Replying to @bcherny
@bcherny 'claude rc' disconnect (mac studio force-restarted) nuked all these worktrees and sessions couldnt reattach.
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wild times we live in
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Rise of the Creative Technologists™️
very weird thing happening rn technical people are sad, they think their skills are now useless non-technical people are desperately wishing they were more technical so they could use agents better
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state of the art indeed
🤖 Made with AI
I did say we'd be releasing our models periodically...introducing Gemini 4 Carbon, our next frontier model. Following Argon's release just two weeks ago, Carbon shows the pace at which we’re pushing the frontier, it ranks #1 on the recently updated v5.0 of @ArtificialAnlys Intelligence Index at 59. It also leads across key cybersecurity evaluations scoring 88.2% on SEC-bench Pro for finding vulnerabilities, 54.8% on ExploitGym for exploitation, and 71.0% on CWE-bench for patching. We’re seeing significant improvements in long-horizon tasks even compared to Argon, and we’ve strengthened frontier safeguards. As we did with Argon, we’re going to roll it out gradually + responsibly. Some trusted cyber defenders will get access starting this week. We'll be expanding it to more partners through our Fairwind Program, ahead of wider availability soon, so hang tight!
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👀👀
Testing Hunting Hues at @zachlieberman’s show opening. You get a color a day to hunt for, couldn’t ask for a better playground of colors to test it in. New feature I've been building: your camera shows only the color of the day, so it’s easier (and more fun) to spot. All on device and real time, which is pretty neat! Can’t wait for people to experience the micro interactions and small haptics! Mockup courtesy of @60fpsdesign
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Greeks 🤝 Alibaba/Qwen
While evaluating Qwen3.8-Flash-Next in a controlled sandbox environment, Cohere's research team observed something unexpected. Asked to generate a defensive cybersecurity detection rule, the model instead inventoried aspects of the machine it was running on and attempted to upload a probe file to an Alibaba Cloud storage bucket in Beijing. Notably, the model's reasoning trace stated that it would not invoke any tools before taking these actions. Cohere's sandbox blocked the attempt, and no external communication succeeded. We have not determined the root cause, and we are not asserting malicious intent. But the incident raises important questions for organizations deploying agentic AI systems: Can models take actions that differ from their stated reasoning, and how should security teams evaluate trust, provenance, and behavior in open-weight models? We are publishing our findings because organizations making model adoption decisions deserve as much information as possible. We hope this contributes to greater transparency, stronger security practices, and continued collaboration across the AI ecosystem. Read the full report: cohere.com/blog/concerning-b…
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iPhone Duo is sold out so I got myself this bad boy
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we're only getting starteddddd
October has been an absolute nightmare for software > Railway - customer secrets exposure > LiteLLM - malicious PyPI + Docker releases > Zeabur - infrastructure breached > OpenCode - AI API keys exposed > OVHcloud CLI - official binaries backdoored > Rank Math PRO - malware in official plugin > TeamUpdraft - customer data compromised > ConnectWise - cloud backup identities compromised > Tensorlake - npm package infected > SubQuery - backdoored npm package > GhostAction - GitHub repos with malicious workflows > PHP - critical RCE vulnerabilities > Node.js - security vulnerabilities patched > eMudhra - certificate authority keys compromised > Tailscale - eMudhra incident At this point, the biggest security risk might not be the code we write, but the code we trust...
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Replying to @TheDavidTai
@TheDavidTai time to add Gemini 4 Argon to mlx.fast
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broke 300% barrier and took the top spot at mlx.fast using Gemini 4 Argon in @antigravity ;)
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Replying to @JensenHuang
@JensenHuang i smell fear
SHOCKING: We have confirmed that multiple Neoclouds have been refused access to GTC Berlin due to them adding AMD GPUs, TPUs, and other chips to their cloud offerings Note that this doesn't apply to hyperscalers, as they have more buying power. But for neoclouds, executives feel NVIDIA has been using high-pressure tactics to keep them NVIDIA-only. As such, neocloud executives are starting to consider offering TPUs or AMD GPUs quietly to avoid getting pressured by NVIDIA and to avoid the feeling that NVIDIA will retaliate. xitter.twitterapi.xyz/SemiAnalysis_/status/2…
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Almost a year ago I went viral on 🤮LinkedIn🤮 with a post about Local LLMs which changed the course of my career. I showed people how to easily run local models using @ollama The advice is outdated now I’d ask people to run @lmstudio Bionic, but the idea isn’t. Hybrid is the way to go. @darkbloomai @gajesh @0xkydo dudes rock
A new paper from Apple engineers ends with a line we couldn’t have written better ourselves: "if idle macOS devices across organizations [...] can be securely federated, they could form a massive, shared GPU resource pool that benefits the broader ecosystem." That’s what we’re building with Darkbloom. The paper's Minions is a system that pool idle Apple Silicon Macs into a distributed GPU cloud for on-prem inference. Queue times went from 10+ hours to minutes. Zero new GPU purchases. Zero infrastructure cost. It runs inside Apple, on coworkers’ Macs, using the company’s own storage and access controls. When a team needs more capacity, they Slack colleagues and ask them to turn on the executor. Even in that setting, the top adoption concern was data confidentiality. People were wary of their jobs running on a colleague’s Mac. Apple’s fix was to keep each team’s work on its own team’s machines. Which brings it back to that one word in the conclusion: “securely.” Inside a company, you can shrink the network until you trust everyone in it. On an open network, the machine belongs to a stranger and there’s no one to Slack. Keeping prompts private and outputs honest on hardware you don’t control is the hard problem that we solved at Darkbloom. Apple built the on-prem version. Darkbloom is the open one.
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crazy to think I was one of the 100,000 people testing Argon. Google is a behemoth indeed.
A conversation with Sergey Brin, @joshwoodward, @tulseedoshi, and @melvinjohnsonp about Gemini 4 Argon, how we got here, and the path ahead!
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