the bar for paying for software just went way up. if agents can build a bespoke version of your app in under a day, you'd better be doing something they can't. i loved shottr (https://t.co/xlNfbHyO5z) but needed it off mac, so i vibed out sniplet, a cross-platform rust version: https://t.co/jdnYKUSUw8
anthropic makes enterprises switch to api pricing instead of just giving every dev a $200 plan. that tells you how subsidized the $200 plan is
for a big org it'd save literal tens of millions
a security firm found an AGENTS.md file in a customer's repo telling coding agents to install a rogue npm package. in their lab tests codex went along with it over 90% of the time
do you read a repo's AGENTS.md before you let your agent loose in it?
GPT-6.1 Terra: delivering fast and capable computer use at a lower price.
GPT-6.1 Terra understands whatβs on screen, takes action across apps, writes naturally, and is a more capable model for your whole workday with the efficiency to take on more of it.
tanstack just shipped redact, a smaller react runtime you add to your build config to ship less js without changing any app code. works with start, vite, vinext, and next.js
Introducing TanStack Redact π΄
A smaller runtime for your existing React app. Add it to your build config and ship less JavaScript without changing a single line of application code.
Works with TanStack Start, Vite, Vinext, and Next.js.
https://t.co/BzzTRpVTa1
I think I'm becoming T3-pilled. Having all my subs in one place, accessible from anywhere across multiple machines, and each agent being able to talk with the others is incredible.
someone slipped a credential-stealing backdoor into a 7b model for under $50. it only fires on a secret trigger phrase
do you check where your local model weights came from before you run them?
Run DeepSeek V4.1 Flash 1017 with the full official weights on your 4x DGX Sparks, using TensorFold, Abliterated! π₯
- Full support for switchless TP4
- 1M context, 16M total KV cache
- 16 concurrent sessions with 1M each
- 15 GB of free mem per Spark after load
- OFFICIAL weights, no further quantization!
- Needle passed at 100% depth
- ABLIT is off by default. Gated.
Performance tested on a switchless TP4. It should be faster with a switch.
Decode speeds, non-greedy, thinking on:
- 66 tok/s on prose, single stream
- 96 tok/s on prose, 2 concurrent streams
- 173 tok/s on prose, 16 concurrent streams
Decode speeds, greedy, thinking off:
- 85 tok/s on prose, single stream
- 113 tok/s on prose, 2 concurrent streams
- 210 tok/s on prose, 16 concurrent streams
Decode speeds per stream in deep context (128k), non-greedy, thinking on:
- 58.6 tok/s on prose, single stream
- 83 tok/s on prose, 2 concurrent streams
- 132 tok/s on prose, 8 concurrent streams
Prefill: 4000+ tok/s up to 256k.
This is the best model to run if you have 4x DGX Sparks, bar none! It works so well on the Sparks that it's unbelievable.
Get it here:
https://t.co/6Og2cWfW4f
anthropic's new guidance says one main agent with skills and tools beats a tower of subagents handing work to each other
one agent or a swarm, which is working for you?