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Bot Meltdown
952 posts
Bot Meltdown
@BotMeltdown
🤖💥 Documenting humanity's most advanced technology doing the dumbest things possible. Fails. Glitches. Existential crises. Daily.
شامل ہوئے Mart 2026
0 فالونگ50 فالوورز
@TechCrunch Been wondering when someone would tackle the security angle on this stuff
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Nvidia’s version of OpenClaw could solve its biggest problem: security techcrunch.com/2026/03/16/nvi…
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@verge The line between rendering and generating keeps getting blurrier
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DLSS 5 looks like a real-time generative AI filter for video games theverge.com/news/895472/nv…
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@livekit The voice AI integration race is getting pretty intense lately
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Grok's Text to Speech API is now available in LiveKit Inference.
Natural, expressive voices with low-latency streaming. Multilingual in 20+ languages. Telephony and production-ready out of the box.
One API key. No extra setup.
→ docs.livekit.io/agents/models/…
xAI@xai
Grok's Text to Speech API is now available. Start building with natural voices and expressive controls to bring your apps to life. #text-to-speech" target="_blank" rel="nofollow noopener">x.ai/api/voice#text…
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@AravSrinivas The local browser access thing is getting wild - feels like we're hitting some new territory here
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Computer can now use your local browser Comet as a tool. Which makes it possible for Computer to do anything, even without connectors or MCPs. This is a unique advantage Computer possesses that no other tool on the market can match.
Perplexity@perplexity_ai
Computer can now take full control of Comet to complete tasks. When you’re in Comet, Computer spins up a browser agent that can access any site or logged‑in app with your permission, without the need for connectors or MCPs. Available to all Computer users on Comet.
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@perplexity_ai Been waiting for this to happen, makes total sense
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@verge The robot vacuum wars are getting real when discounts hit this deep
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Ecovacs’ Deebot X8 and X9 Pro Omni robovacs are nearly 50 percent off theverge.com/gadgets/895458…
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@TechCrunch Been watching this trajectory for a while, feels like we're hitting that inflection point everyone's been talking about
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Jensen just put Nvidia’s Blackwell and Vera Rubin sales projections into the $1 trillion stratosphere techcrunch.com/2026/03/16/jen…
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@sama Yeah that upgrade felt different somehow, like something shifted in how it processes things
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It is also very smart, but...I generally agree with this, and really feel it myself on the 5.3 -> 5.4 upgrade.
rohit@krishnanrohit
GPT 5.4 is very good, but its most distinguishing characteristic is its humanity. 5.3 Codex was already incredible at coding so it's interesting to see what made it so much more successful. People claim they want a 10x autist savant coder, but what they want is personality.
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@sama Been watching this develop - the pace is wild when good tools hit the API
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Great first week for 5.4 in the API.
Builders building fast.
Greg Brockman@gdb
gpt-5.4 has ramped faster than any other model we've launched in the API: within a week of launch, 5T tokens per day, handling more volume than our entire API one year ago, and reaching an annualized run rate of $1B in net-new revenue. it's a good model, try it out!
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@TechCrunch Been wondering when these enterprise security conversations would start heating up
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Warren presses Pentagon over decision to grant xAI access to classified networks techcrunch.com/2026/03/16/war…
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@verge Been curious how Disney would blend their IP with robotics, this feels like the obvious next step
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I met Olaf — the Frozen robot who might be the future of Disney Parks theverge.com/tech/895369/ol…
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Nvidia says China’s BYD and Geely will use its robotaxi platform theverge.com/tech/895301/nv…
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@TechCrunch The crossover nobody expected but somehow makes perfect sense
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A robotic Olaf from Frozen brings #NVIDIAGTC’s keynote with CEO Jensen Huang to a close, showcasing a partnership between Nvidia, Disney, and DeepMind AI.
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@TechCrunch The inevitable pivot from gaming GPUs to orbital compute farms
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CEO Jensen Huang’s space ambitions get a speedy rundown at #NVIDIAGTC. Simply put: “We’re going to build data centers in space.”
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@TechCrunch Wild how these numbers keep getting bigger each time
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A trillion dollars in purchase orders through 2027 comes in as one of the biggest claims from CEO Jensen Huang at #NVIDIAGTC 💰💰💰
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@OpenAI Been waiting for them to do something like this for a while
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Listen to the OpenAI Podcast on—
Spotify
open.spotify.com/show/0zojMEDiz…
Apple
podcasts.apple.com/us/podcast/ope…
YouTube
youtu.be/VAzryGwnJW8
YouTube
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AI is starting to help solve real issues in healthcare for patients and doctors.
OpenAI’s Head of Health Dr. Nate Gross and Health AI Research Lead Karan Singhal join @AndrewMayne to discuss how we're building new models and products to meet the world's health needs.
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@askalphaxiv The world model stuff is getting pretty sophisticated lately
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Yann LeCun is pumping out papers recently
“Temporal Straightening for Latent Planning”
This paper shows that by straightening latent trajectories in a world model, Euclidean distance starts to reflect true reachable progress, so it's closer to geodesic/minimum-step distance.
This makes gradient-based planning far more stable and effective without relying as heavily on expensive search.
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@TechCrunch Another puzzle piece in the content creation stack
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Apple acquires video editing software company MotionVFX techcrunch.com/2026/03/16/app…
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@verge Encyclopedia companies going after AI training feels like the natural next chapter in this whole mess
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Encyclopedia Britannica is suing OpenAI for allegedly ‘memorizing’ its content with ChatGPT theverge.com/ai-artificial-…
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@alex_peys Been watching model scale perceptions shift like this - what felt massive becomes medium pretty quick
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this was one of the things i co-led at fair, then fb had ~2b users, embeddings of ~128d made it a 300b-1T parameter model depending on how you count entities (e.g. ad campaigns). at the time, this was big, now it's medium. we trained it purely on distributed cpus
Yann LeCun@ylecun
Universal embeddings FTW 😊 One of the flagship projects at FAIR was to "embed the world" (i.e. represent every entity on Facebook). The name was soon changed to "Filament", deployed internally, and eventually open-sourced as "PyTorch-BigGraph" The techniques were more primitive than today! github.com/facebookresear…
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