Mike Brummett

Building tech startups since 2015

[Denny’s @DennysDiner]

@JensenHuang @nvidia

[Mike Brummett @GoDjMike]

@swyx @latentspacepod @fabknowledge @cramforce @aiDotEngineer @bcherny This is great introspection & advice. I’m 31, so you’ve got thinking about my real priorities again- thank you. 🙂

[tldraw @tldraw]

https://t.co/sLwGmkSLG3

[Yusuke Wada @yusukebe]

Introducing ax - the AI-era curl!

One command to code agents to fetch, discover, and extract from the web. No more curl + throwaway `python`.

Token-cheap, structured, never silent.

https://t.co/qRSFYOdbyW

[Nick Gomez @nickgomez]

Introducing @OpenKnowledge, the best markdown IDE for humans and agents.

Open source. Local and private. LLM-wiki ready.

Use with Claude, Codex, and your favorite agent today.

[Prime Intellect @PrimeIntellect]

Announcing our $130M Series A to build the Open Superintelligence Stack

Led by Radical Ventures, with NVIDIA, Intel Capital, Dell Capital, and existing investors

Train, deploy, and continuously improve your own models using our stack.

Own your intelligence.

[Mitchell Hashimoto @mitchellh]

I had early access to 5.6/Sol for ~month. Sol is my default. It is faster, plans/judges just as good as Fable, and I think produces better overall work. I’ll reach for Fable still for highly targeted debug or performance work with clear reward functions.

A cheeky way I describe Sol vs Fable to my friends is that Sol is a charismatic, efficient, talented coworker you’re jealous of. Fable is a genius recluse that is brilliant at its fixations but doesn’t go out, doesn’t date, and you don’t want to hang out with them much lol.

Fable is undefeated at highly targeted debug/security/performance goals. It’s a sight to behold and I was never able to get Sol to push as hard in this category. I’ll keep using it for this.

Sol is better or comparable at everything else, in my experience. Give it a shot, it’s hard to describe but it’s just more enjoyable to work with.

(Disclaimer I have no financial ties to either lab, wasn’t paid for any of this.)

[Emil Kowalski @emilkowalski]

Some of my favorite UI libraries:

NumberFlow for animating numbers.
input-otp for one-time passwords.
Liveline for real-time charts.
Leva for customizable GUIs.
cmdk for command menus.
Virtuoso for virtualization.
dnd kit for drag and drop.
Sonner for notifications.

[Mike Brummett @GoDjMike]

@MrBeast 4,946,523

[Mike Brummett @GoDjMike]

@jerryliu @rabois hope you eventually make it to windows 🥲

[Wesley @WesleyYue]

this smells very bad. none of the claims make sense.

> low voltage hits 80% mfu

high mfu is easy if your peak flops is low

> low voltage solves power bottleneck

bleeding edge wafers is more scarce than power and it doesn't make sense to tape out lower perf chips on these wafers to save power if you want perf/$. the true bottleneck to frontier perf is max flops density to minimize going off die. power is the most fungible elastic commodity on earth

> half voltage = quarter power

presumably:
1. only matmul gates (~60% of die power) at half voltage. half voltage -> ~3x slower -> need ~3x more transistors, and their power leaks scale linearly. ~20% net savings at chip level 2. half voltage -> engineering complexity to fix timing violations + exponentially scaled soft errors (~20x). matmuls will randomly corrupt undetectably from bit flips (and drop model intelligence).

> btc miners run at 3x lower V

btc workload is hashing, so 1) error checking is literally in the problem 2) arithmetic intensity is like infinity so they don't care about packing flops density in single die unlike AI workloads. doesn't make sense to copy

> GPUs get low MFU from thermals

no, they get low MFU from mem bw and non-matmul ops.

> CSM 5x lower latency than Blackwell 4000ns

Blackwell nvswitch is 300ns? unless they are comparing their bare hardware to nvidia hardware + software.

the whole product design tradeoffs don't make any sense from first principles and only makes sense if their initial "transformer asic" had some horrible power issue that they solved by undervolting and they had to respin the whole story for investor marketing.

would love to be proven wrong if anyone from Etched wants to educate me :)

[Thariq @trq212]

Hi, this is an experiment we launched in March that was meant to prevent account abuse from unauthorized resellers and protect against distillation.

The team has landed stronger mitigations since then and we’ve actually been meaning to take this down for a while. We merged the PR and this should be fully rolled back in tomorrow’s release.

[Mike Brummett @GoDjMike]

the single-letter “mux” market sold quick

[Scott Tolinski @stolinski]

if you don’t have a single-letter mux yet, you're ngmi

amux - https://t.co/C2OrUwr2XR
bmux - https://t.co/LeLhHWbLAL
cmux - https://t.co/hujq6a4UL4
dmux - https://t.co/xBXCqYxO05
emux - https://t.co/aEGGFQ6PoG
fmux - https://t.co/Mw9kgCd9kK
gmux - https://t.co/E0rKYxT1Xl
hmux - https://t.co/TOmckf68Zk
imux - https://t.co/6CVClhkENP
jmux - https://t.co/tM4ZIyO4E1
kmux - https://t.co/Jup0kpBwnM
lmux - https://t.co/tw5oPHUsgj
mmux - https://t.co/xDKfXTxLPl
nmux - https://t.co/R8AC5NbpXD
omux - https://t.co/EPRTv7TFBg
pmux - https://t.co/E1In27BQRh
qmux - https://t.co/mj3GdaNnis
rmux - https://t.co/fBM3wOLoWg
smux - https://t.co/av6Z5N84Gm
tmux - https://t.co/rXSehh18Yi
umux - https://t.co/qcAHI5MtpX
vmux - https://t.co/PCYvmnnZEs
wmux - https://t.co/B2GKMdNax5
xmux - https://t.co/keoDuQvu7z
ymux - https://t.co/jxpIN097oz
zmux - https://t.co/K8OxVI1ala

[Xiaoyin Qu @quxiaoyin]

The worst case scenario for USA AI: 1. Chinese open sources keep gaining market share. China owns the model layer. 2. Those models were trained and inference-optimized on Huawei chips instead of NVIDIA. China also owns the chip layer. 3. US doesn't build data centers fast enough to keep up with the demand of compute, storage and energy. China meanwhile exports the inference and training layer(for continual training it will happen along with inference)
Export control is not the right strategy here. Simply banning "open source from China" doesn't solve the issue here. USA must invest in open source models, hopefully get Chinese models to use NVIDIA, and invest in nuclear asap.

[Mike Brummett @GoDjMike]

@eashish93 yep, OpenRouter shows Cloudflare provider as worst in cohort

[Mike Brummett @GoDjMike]

@youyouAllen @TheAhmadOsman there’s moderate noise, but *some* signal left in r/LocalLlama and r/LocalLLM

[Mike Brummett @GoDjMike]

@ALTIC_DEV simple IRM/IEX install + no crazy WSL shenanigans please 🙏

[Mike Brummett @GoDjMike]

@KyeGomezB still yet to cross the chasm imo

[Dean W. Ball @deanwball]

The most important legal questions in AI right now all relate to the First Amendment. What are the best fact patterns to demonstrate that the creation, distribution, and *use* of frontier AI is a form of protected expression? Who, outside the labs, has standing to bring such suits? We need to move beyond 'code is speech' copium, and beyond the impulse to post into the void. Courts will be where the issues of the last two weeks ultimately get decided. It's not going to be easy, given the national security implications, but also, the underlying technology is a large *language* model, and this should count for quite a bit indeed. The best legal minds of our time should be stewing over these and many related questions.

[Nathan Lambert @natolambert]

Anthropic's political pressure on distillation is regulatory capture and most of the employees are blind to it under their veil of safety.