AI Deeply @AiDeeply
AI is reshaping the world. Who are the people and companies driving the change? Visit our website to search more than 5,000 profiles. Joined November 2022-
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Worth reading. Covers some of the key points behind potential new approach to AI / ML computing.
Worth reading. Covers some of the key points behind potential new approach to AI / ML computing.
This: "Alignment is tricky not just because of technical reasons or statistical choices but also for messy, normative and data-centric human factors." The most important alignment question is "to what?" and therefore "who decides?".
This: "Alignment is tricky not just because of technical reasons or statistical choices but also for messy, normative and data-centric human factors." The most important alignment question is "to what?" and therefore "who decides?".
Benchmarking is hard ... but this helps: "the best eval is the one you build yourself for your own needs and show no one"
Benchmarking is hard ... but this helps: "the best eval is the one you build yourself for your own needs and show no one"
Very interesting combination of techniques. #LocalFirst AI Or at least #GPUPoor AI (Click through to the thread for link to more details.)
Very interesting combination of techniques. #LocalFirst AI Or at least #GPUPoor AI (Click through to the thread for link to more details.)
Amazing but inherently limited: "even if you train LLMs only on factual data*, LLMs …[will]… produce completions that are not factual!" [due to] "the basic n-gram structure" "*and I will suspend my disbelief … about the impossibility of doing that in a multi-polar world"
Amazing but inherently limited: "even if you train LLMs only on factual data*, LLMs …[will]… produce completions that are not factual!" [due to] "the basic n-gram structure" "*and I will suspend my disbelief … about the impossibility of doing that in a multi-polar world"
AI IDE in the cloud: Several announcements from @Replit yesterday including Code Repair (apparently beats GPT-4 and Claude 3 Opus) and Teams (coming soon). More context:
"AI could actually help rebuild the middle class". Worth highlighting per the NYT profile.
"AI could actually help rebuild the middle class". Worth highlighting per the NYT profile.
These AI integrations with tools aimed at ordinary business users may open up some real productivity improvements. (And likely some frustration with current limitations that are so far inherent to LLMs.)
These AI integrations with tools aimed at ordinary business users may open up some real productivity improvements. (And likely some frustration with current limitations that are so far inherent to LLMs.)
"The actual security mindset ... says that failures are inevitable ... Therefore ... you need to build systems to be as anti-fragile as possible, as robust as possible even in the presence of failure, incorporating multiple layers of redundant defenses..."
"The actual security mindset ... says that failures are inevitable ... Therefore ... you need to build systems to be as anti-fragile as possible, as robust as possible even in the presence of failure, incorporating multiple layers of redundant defenses..."
AI regulation gets prominent mention by independent VP candidate. CC @aftfuture and @a16z [Starting 4:01] “AI unregulated can be disastrous for us. We're already seeing early signs of it. [NYT headline: A.I. Poses 'Risk of Extinction,' Industry Leaders Warn by Kevin Roose |…
AI regulation gets prominent mention by independent VP candidate. CC @aftfuture and @a16z [Starting 4:01] “AI unregulated can be disastrous for us. We're already seeing early signs of it. [NYT headline: A.I. Poses 'Risk of Extinction,' Industry Leaders Warn by Kevin Roose |…
Generating more and better tests is a great use of AI. Will be especially important as more software gets written (in part or whole) by AI.
Generating more and better tests is a great use of AI. Will be especially important as more software gets written (in part or whole) by AI.
No surprise that Saudi Arabia is investing oil money in AI. I wonder if there's a convenient list of Arxiv papers from people at @AI_KAUST and @KaustVision and @KaustVisionCAIR
No surprise that Saudi Arabia is investing oil money in AI. I wonder if there's a convenient list of Arxiv papers from people at @AI_KAUST and @KaustVision and @KaustVisionCAIR
The cost of regulation: "The EU approved its AI Act last week, considered one of the world’s strictest regimes over the technology, causing companies that offer services to European consumers to scale up compliance teams. “This is a cost that weighs heavy on some of those…
The cost of regulation: "The EU approved its AI Act last week, considered one of the world’s strictest regimes over the technology, causing companies that offer services to European consumers to scale up compliance teams. “This is a cost that weighs heavy on some of those…
Given $1.3B raised, this part is important: "Microsoft is making the Inflection shareholders whole via a licensing deal… and they still keep their shares in Inflection, which is an ongoing concern."
Given $1.3B raised, this part is important: "Microsoft is making the Inflection shareholders whole via a licensing deal… and they still keep their shares in Inflection, which is an ongoing concern."
AI in healthcare is both important and risky. Additional funding is good.
AI in healthcare is both important and risky. Additional funding is good.
Bold claims. "state of the art in structured tasks such as extraction and function calling while running up to 100× faster, with 10× lower latency, outputting 100% reliable structure" see also: github.com/rysana-ai/rysa… MIT license; no recent updates
Bold claims. "state of the art in structured tasks such as extraction and function calling while running up to 100× faster, with 10× lower latency, outputting 100% reliable structure" see also: github.com/rysana-ai/rysa… MIT license; no recent updates
Agreed. Claude & other LLMs are "alive" in the same sense that Sherlock Holmes is alive. With good fiction, we get caught up in the story and it feels real. Then we turn the last page of the book, and can discuss motivation and other details without calling it "alive".
Agreed. Claude & other LLMs are "alive" in the same sense that Sherlock Holmes is alive. With good fiction, we get caught up in the story and it feels real. Then we turn the last page of the book, and can discuss motivation and other details without calling it "alive".
Great example of @levie's point: "AI will be taking functions or processes in business that are artificially constrained by their cost or complexity, and scaling them up to 100X more customers"
Great example of @levie's point: "AI will be taking functions or processes in business that are artificially constrained by their cost or complexity, and scaling them up to 100X more customers"
Mark you calendars.
Nice.
กระดิ @xsSh5tg04a95ZoH
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(1/7) Do you want to test code generation models on the domains you care about? Struggling to find existing benchmarks that suit your needs? Our new work *CodeBenchGen* helps you build execution-based benchmarks based on your selected code fragments! (arxiv.org/abs/2404.00566)
I'm excited about Yiqing's work on a framework for creating code-generation benchmarks from naturally-occurring code, e.g. from GitHub. We use test cases to evaluate! As a proof-of-concept, we create a new benchmark from (subsets of) CodeSearchNet.
(1/7) Do you want to test code generation models on the domains you care about? Struggling to find existing benchmarks that suit your needs? Our new work *CodeBenchGen* helps you build execution-based benchmarks based on your selected code fragments! (arxiv.org/abs/2404.00566)
Replacing Judges with Juries Evaluating LLM Generations with a Panel of Diverse Models As Large Language Models (LLMs) have become more advanced, they have outpaced our abilities to accurately evaluate their quality. Not only is finding data to adequately probe
I have finally completed the tutorial on using Spacy-llm and DSPy for Named Entity Recognition. It concludes with an unexpected twist. Link in the following tweet. Preview:
We don't talk enough about spacy-llm. It is so powerful. And when you mix it with DSPy, the results are incredible. I am working on a video that i will add to the "Advanced DSPy" module on Lycee AI. It will be lit 🔥🔥🔥
LLMs as a judge has been widely accepted as a workable replacement of human eval but relying on a single model introduces systematic bias. Happy to share a new paper from our team led by @pat_verga that shows a panel of models as judge offers a more accurate and cheaper solution.
New paper from our team, led by @pat_verga Are you: * Doing evaluation with LLMs? * Using a huge model? * Worried about self-recognition? Try an ensemble of smaller LLMs. Use a PoLL: less biased, faster, 7x cheaper. Works great on QA & Arena-hard evals arxiv.org/abs/2404.18796
If Model A beats B in benchmarks, is it really better? Not if it trained on those benchmarks—that's an unfair edge! How can you tell if a model used benchmark data for training? 🤔 Welcome to check out our latest work: huggingface.co/papers/2404.18… (1/n)
Are your LLMs highly accurate, or simply contaminated? As the race to build the best LLM intensifies, clean evaluation is becoming more important than ever, yet contaminated LLMs and benchmarks obfuscate the real performance of models. Checkout our new work (comprehensive survey…
There’s no singular benchmark for this, but LLMs are shockingly bad at negative instructions. Don’t say the word delve ➡️ DELVE Avoid using emojis ➡️TONS Never use punctuation ➡️ TONS Here’s to hoping future LLMs understand what I don’t want as much as what I do want.
🚨 Effective Altruism's Bait-and-Switch: From Global Poverty to AI Doomerism 🚨 The Effective Altruism founders planned – from day one – to mislead donors and new members in order to build the movement's brand and community. aipanic.news/p/effective-al…
Boeing is literally the textbook case study for regulatory capture. Which is exactly where we're heading with the new AI proposed regs -- big guys stifle competition and we are left with just regulatory theater.
@natfriedman Automotive legislation sidebar allowing our teams to evaluate legislation in realtime rather than having plough through numerous regionally specific documents. Massive value add, super simple given the expanded context window,..
@natfriedman find patterns in and across your data continuously
@natfriedman make explainer animated videos from a description/script
@natfriedman a tool that can read and understand a large complex existing codebase and suggest ways to improve security, performance, maintainability (by humans and AI agents)
@natfriedman Not sure what you would call it exactly but maybe something like “User directed censorship” for entertainment…. So you pick Home Alone to watch with your 8 yr old but want to bleep out the bad words. There is so much entertainment with bad language that I’d love to simply…
@natfriedman Asynchronous codebase reviewer. Have some agent recursively combing through files in my repo, finding places to add abstraction or clean up. Present me with findings each morning. I hate writing code and realizing I wrote a helper for that 2 years ago lol
@natfriedman research agent that runs in a loop refining its answer for 2-3 hours. Would pay like $100-200 per search. Am probably going to make this
@natfriedman "Ghost employees". Take a top performer that has left, use all of their slack/email/intranet history and create a useful remote employee chatbot for all the shit that didn't get KT'ed in time. Ethics of it get weird if the employee is still alive.
@natfriedman semantic search of the inbox. for searches like this:
@natfriedman I’m looking for a product that proactively searches my recent browsing and other history and helps re-surface relevant resources as I work Could be part of a broader platform I describe in this 1-pager Can’t find it! docs.google.com/document/d/1in…
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