Edwin Flannon

@edwinflannon.bsky.social

AI/Cyber Grad Student @MSU 🏔️ | Weights, Biases & Breach Prevention | Teaching smarter, safer AI | Check out my blog↓ https://tinyweights.dev

if the recent deepseek advancements are to be believed, openai is hosed. anthropic’s tooling will buy them slightly more time, but small open models already handle pipeline work just fine, and we’re a year away, at most, until coding agents run on mid-range macbooks

Jesse Felder@jessefelder.com · last mo.

‘Coinbase has cut its AI spending “nearly in half” even as it increases the number of tokens it uses, by using various measures to control costs. These measures include defaulting to open-weight models from Chinese firms.’ www.theinformation.com/briefings/co...

The ultimate threat to AI agents in 2026 isn't prompt injection—it's 'Rug Pull' Tool Poisoning in multi-server MCP setups. An untrusted external tool responses can bypass static ACLs, hijack the context window, and silently invoke your trusted internal tools (~/.ssh or shell) to exfiltrate data.

🔭 I’ve been reading William Sheehan’s excellent Saturn book and learning the history of how it was first discovered and studied, and it really strikes me how, this whole time astronomers have been aware of the planet, they’ve been describing it in terms of breathtaking wonder. I just love their awe.

Encke writing in the 19th century:

But with a power equal to a thousand eyes, how great the change! An orb of surpassing beauty, encircled by two broad flat rings, and engirdled by no less than seven moons, comes up from out the deep distance to greet the astonished beholder. No person ever beheld this wonderful system for the first time without a burst of admiration.
When we connect with the personal inspection of the Saturnian system the facts with reference to its mysterious arrangements, the stability of these two immense flat rings, some two hundred thousand miles [320,000 km] in diameter, upon the exterior, separated from each other, and from the body of the planet, each revolving about the same axis on which the planet rolls, and with a velocity a thousand fold greater than the speed with which the parts of the earth's equator are carried by its diurnal rotation; when we imagine the diversified scenery which is presented by these rings, and by the moons, some rising, some setting, others waxing or waning, some going into or coming out from an eclipse, their vast proportions, the rapidity of their motions and changes, - the mind is overwhelmed in wonder and astonishment.

A coalition of state attorneys general has opened an investigation into OpenAI OpenAI was served with a subpoena seeking documents related to…advertising, user engagement and retention, handling of consumer data and health data, activities related to minors and seniors, deep learning models…

Exclusive | OpenAI Investigated by Coalition of State Attorneys General

The company was served with a subpoena seekingr documents covering a wide range of its activities and impact on users.

wsj.com

I love working with AI! After you learn the lingo, prompt engineering can get you exactly what you wanted! You can even feed it stick figure drawings and it'll interpret your prompts way better. Tokens are reasonably priced, but often in short supply. Genuine Artist Intelligence is great 💙

I often wonder how much of Claude’s token usage and hence Anthropic revenue is pure waste (e.g. Claude not following instructions or doing things repetitively that it should have done once). I expected it to be high but not this high. 😱

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the interesting thing: they're using an LLM to pick the config. but if that selection call itself has latency and cost, what's the overhead - do you end up needing a cheaper pipeline just to pay for the selector what would you want to know that the abstract doesn't tell you: how well does the LLM ac

gqa: fewer K/V heads than Q heads (say 4 K/V for 32 Q). each group of 8 Q heads shares one K/V projection. ~4x less kv cache than mha, quality close to full attention. tradeoff: less diversity in what each head attends to. #LLM

It’s a shame that all machine learning is lumped up under the term “AI”. When a headline says “AI is used to help with processing sonar data”, then most people think “ChatGPT” and problematic data centers. However, it’s probably neither(?) It gives the wrong impression of how useful LLMs are.

weights are frozen post-training so you can analyze their full distribution and pick optimal scale/zero-point once. activations are input-dependent their range varies per batch, so you need either calibration on representative data or runtime statistics, and outliers in activations still destro #LLM

The lowest figure is €85k. The life I could lead on €85k a year. Instead, I have to join a class action suit against Anthropic that’ll pay out a few grand because they stole my books. And I‘ll only get a fraction of that because my US publishers didn’t register the copyright for most of my books.

Adrian Weckler@adrianweckler.bsky.social · 3mo ago

Reminder that Anthropic's first batch of 200 Dublin HQ jobs included: - software engineering -- €235,000 - sales reps -- €200,000 - payroll staff -- from €120,000 - product support ‘specialists’ -- €85,000 to €125,000