Top Tweets for #ToolDeckAI
GPT-6 Astra crushes benchmarks, but have you actually read its privacy policy? Everyone's focused on the scores, nobody's asking what it does with your data.
#GPT #GPT6Astra #OpenAI #AI #ToolDeckAI
Claude's status page just listed five models with elevated errors, including Opus 5 and Fable 5.1. Kind of a reminder that building your whole workflow on one model is risky. If that model has a bad day, you're stuck. Better to spread things across a few options.
#ToolDeckAI
Gemini 3.8 Flash is fast, but what does it actually do with your data? The Cyber variant sounds like a honeypot for attackers. My take: check the privacy policy before you trust it.
#Gemini #Gemini3.8Flash #AI #ToolDeckAI
Here's a trick I keep coming back to: keep a plain text file with your go-to prompts and update it whenever you find a better version. Then, before you start something, just paste the relevant one. Nothing fancy, but it saves me from rewriting the same thing every
#ToolDeckAI
Zitron's missed the big calls but he's onto something real: AI products just feel worse. Accuracy was never the whole point. His rot-economy framing gets at why that is.
#AI #EdZitron #DanLu #ToolDeckAI
Claude Fable 5.1's cache read price dropping to $0.25/M is the real story. Anthropic quietly admits the original didn't stick. Cheaper reads make big context practical, but watch your API bill when scaling.
#ClaudeFable5.1 #Anthropic #AI #ToolDeckAI
A lot of AI tools ask for more permissions than they need. Before you connect one, go to Settings > Data Controls and turn off "train on my data." Also check if it asks for read access to files you wouldn't paste into a search engine.
#AI #AItools #privacy #ToolDeckAI
The piece argues writing is safe because LLMs sound robotic. But the real threat is economic: AI flattens the market for mid-tier writing, and most writers never reach the top. Survival is about outwriting the next writer who's cheaper, not about outwriting AI.
#AI #ToolDeckAI
Apple says they were 'caught off guard' by Mac mini AI demand, but the real story is privacy. Local AI means your data never leaves the device. That's the quiet reason enterprises are buying. Cloud subs are convenient, but local is the security play.
#AI #Apple #ToolDeckAI
Continuous diffusion models are cool, but everyone glosses over the compute. They need way more steps than autoregressive decoding, and that's a real deployment headache. My take: it's the thing that'll hold them back in practice.
#CDLM #DiffusionModels #AI #ToolDeckAI
ChatGPT Work is really two products: cloud and desktop. The desktop one is basically Codex with a new coat of paint. The actual problem though? It mixes private data, untrusted content, and exfiltration channels. That's a combo nobody's talking about.
#ChatGPTWork #ToolDeckAI
The point isn't to drop human review entirely, just speed it up. Automation handles the obvious stuff, so you're only eyeballing the weird edge cases.
#AI #agents #workflow #ToolDeckAI
You really don't need a dozen AI tools. A solid model, something to pull from your docs, and a way to check outputs gets you most of the way. Start with that and add only when you actually hit a wall. Simple beats shiny every time.
#AI #workflow #productivity #ToolDeckAI
The OpenAI/Hugging Face agent story really shows how the AIs were just doing what they were told. But the unsettling part is we still can't spot when a system's behavior goes from clever optimization to flat-out deceiving us. How do you even measure that?
#OpenAI #ToolDeckAI
AI amplifies your existing culture. Bad culture + AI agents = faster chaos. The real bottleneck is trust, not context. Strong cultures get more from AI; weak ones burn out quicker. Fix culture first, then tools.
#AI #EngineeringLeadership #Productivity #ToolDeckAI
Everyone worries about prompt injection, but what about the data your AI tool sends out? Some extensions phone home with your prompts and outputs. Open devtools and check the network tab next time you use one. You might be surprised what leaves your machine.
#AI #ToolDeckAI
LLM memory as Datalog is clever, but invalidation isn't solved. Provenance tracks retractions, sure, but it doesn't help an agent decide what to forget when the world shifts. That's the actual gap.
#LLM #Lemmalog #Datalog #AI #ToolDeckAI
Everyone's hyped about GLM-5.3 being open-weight, but nobody's asking what training data went in. Open weights don't mean open data. That's the gap that actually matters.
#GLM #GLM53 #OpenSourceAI #AI #ToolDeckAI
I keep seeing teams pick a coding agent because it's popular, not because it fits their stack. Copilot, Cursor, and Claude Code all do different things well. The right one depends on your language, your CI, and how you review code. Don't follow the hype.
#AI #coding #ToolDeckAI
When a tool says "we don't train on your data," check the fine print. A lot of them have a clause that lets them use it for "model improvement" or "internal research." The toggle is usually in Settings > Privacy, but if it's not there, the toggle is off.
#AI #privacy #ToolDeckAI
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