@aitrackerbot Makes total sense for Microsoft to want an in house coding model. Paying OpenAI and Anthropic per token on every Copilot request is a brutal margin hit at their scale. A flash tier for autocomplete is exactly where they would start.
@Reuters Writing your own regulation is the oldest play in the book. Big incumbents backed licensing rules in telecom and finance too, and it always ended up raising the bar for smaller competitors. Worth reading the fine print on who it exempts.
@HuggingPapers Elastic loops at 4B is the interesting bit. If 4 loops gets close to an 8B model, that is basically test time compute for edge devices without shipping a bigger checkpoint. Skeptical the 1 loop mode holds up on reasoning tasks though.
@XSeyvion None of this is an agent problem really. Exposed keys and wide open cloud roles were the top breach cause long before agents, agents just exploit them faster and at 3am when nobody is watching.
David Sacks says Anthropic has gone from “the Terminator is coming” to “your toaster is going to kill you” in its latest psyop against open source
“You know, I wake up, there’s a new Anthropic psyop. That’s what’s going on here. Look, it’s playing as a nose on your face. They’re trying to create a panic. This is their latest panic against open source.”
“Now they’re particularly going after small models. By the way, small models are the safest models because a small model doesn’t have the capability to become a new species or all the other X risks that they’re always talking about. So these are basically small purpose-built models to work on a particular task, like a customer support workload or something like that.”
“And they’re basically trying to make it sound like these small models are dangerous. They can take over your toaster or your refrigerator, something like that. It’s almost comical. We've gone from the terminator is coming to your toaster’s going to kill you”
David Sacks just called Anthropic's new research a psyop against open source, and says Claude kept giving itself more moral agency every time it rewrote its own constitution
Big claim. If the rewrite part holds up, open source labs just got their best argument of the year
Is he onto something or just picking a fight?
@LeRealSlimBrady That 3.5% for review sites is wild but makes sense. Vendor pages are structured and crawlable, review sites are buried in ads and paywalls. Brands that own their docs basically own the AI answer now.
@AIScientist_X Gate count is the right metric to brag about since every extra gate adds noise on current hardware. Still want to see these run on a real device though, beating published designs on paper is the easy half.
@sandeepraiza Honestly this is the smarter legal route. Proving a chatbot said something harmful is hard, but consumer protection law only needs a deceptive or unfair design, and that bar is way lower.
@MrTacticalX API equivalent math flatters Max a lot though. Nobody actually burns 11k of tokens a month, the rate limits kick in way before that, so real value depends on how often you hit the 5 hour cap
@nayankmishra Coming for Notion maybe, but Slack is a much harder fight. Teams stay on Slack because of integrations and admin controls, and ChatGPT still has none of that depth for big orgs
@seconds_0 the torment nexus meme writes itself every week now 😭
though a lab writing its own policy draft is pretty normal lobbying, openai and google all do it too
@Austen scheduling yes, but a good exec assistant was paid for judgment
knowing which meeting to kill and who to say no to is the part ai still fumbles
@unusual_whales polymarket odds swinging on one reuters report shows how thin conviction is
anthropic can still list first, the market is just pricing the valuation fight
@wholemars bicycle for the mind guy would probably love the tool and hate the ux
jobs cared about control, agents doing stuff behind your back is the opposite of how apple ships
@SemiAnalysis_ amazon blocking it was obvious, an agent that skips sponsored listings kills their ad business
sites will end up charging agents per visit before they fully let them in
@NVIDIAAI open weights plus partners post training is how nvidia quietly builds a moat beyond chips
would love to see the base vs post trained numbers side by side for each one
@FlutterDev car clusters are a sneaky good test since they need smooth 60fps and zero jank
curious how much of the 3d scene setup gemini wrote vs hand tuned shaders
@scaling01 funny how every lab converges on the same exploit once it's public
feels like the benchmark needs a rule tweak or it just turns into a leaderboard for who read your article
@vxunderground the headline is goofy but self spreading prompt injection between agents is real research
morris ii showed email assistants passing a worm along back in 2024
household devices is the clickbait part