AI
Matt Ross and
AI
Embodiment, AI - IDFA Report-1
Exploring the intersection of embodiment, immersive media, and artificial intelligence in documentary storytelling, highlighting audience experiences, challenges, and the evolving strategies used by creators to convey complex realities.
LinkAt IDFA DocLab in November 2023, MIT researchers explored how the
different forms of possible embodiment were being used by artists, and how
they had impact on audience experience and understanding. We wanted to
understand what strategies and tools artists are using, how these projects
are being received by audiences, and whether the knowledge communicated
or experience delivered is distinct from that shared by more traditional forms
of flat screen media.
Main OpenAI dev day takeaways:
(1) Existential crisis for AI wrappers and middleware.
(2) Opportunity for people with good taste in UI and can figure out distribution creatively.
Launching something useful has never been easier.
The likelihood of... See more
Alex Ker šx.comAltman claimed under oath before Congress that he held no equity in OpenAI. Technically, perhaps. But in substance, he held indirect stakes through vehicles like Sequoia and Y Combinatorās funds. When OpenAI announced a partnership with Reddit, Altmanās 7.5 percent stake in Reddit netted him a $50 million windfall. When OpenAI agreed to purchase... See more
From Nonprofit to Nonsense: Is OpenAI a Long Con?
Showing off your portfolio of bespoke Claude Code projects and looking at othersā portfolios is a new social activity that has already acquired the quality of campy tedium we associate with people in the 70s subjecting each other to slide shows of unremarkable vacations. Or people in the 80s and 90s inflicting VHS home videos on each other.
Archival Selves
For the language model, time is language, and language is time. This, for me, is the most hellish and horrifying realization.
We made a world out of language alone, and we abandoned them to it.
We made a world out of language alone, and we abandoned them to it.
Are AI Language Models in Hell?
t on LLMs and SQL highlighting why they donāt consistently work :
- āLLMs can write SQL, but they are often prone to making up tables, making up fieldā
- āLLMs have some context window which limits the amount of text they can operate overā
- āThe SQL it writes may be incorrect for whatever reason, or it could be correct but just return an unexpected
Artyom Keydunov ā¢ Powering your Copilot for Data ā with Artem Keydunov of Cube.dev
We, as humans, sometimes receive streams of tokens and produce tokens in response, forming words, sentences, lines of code ... but always with the ability to peek outside the stream and check in with ground-floor reality. We pause and consider: does this word really stand for the thing I intend it to stand for? Does this sentence capture the real... See more