Brian Fitzgerald

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Brian Fitzgerald

Brian Fitzgerald

@ExaGridDba

AI, Cloud, and databases

New York Katılım Eylül 2009
1.6K Takip Edilen1.3K Takipçiler
Brian Fitzgerald
Brian Fitzgerald@ExaGridDba·
$ python3 -m pip install --upgrade llama-cpp-python Requirement already satisfied: llama-cpp-python in .../venv-llama/lib/python3.12/site-packages (0.3.16)
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Brian Fitzgerald
Brian Fitzgerald@ExaGridDba·
Failed to load model from file: Qwen3.5-0.8B-Q4_K_M.gguf any clues?
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Jay❤️
Jay❤️@Onyinyechi1203·
@AIFrontliner Hallucinations are the biggest trust issues with LLMs right now.
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AI Frontliner
AI Frontliner@AIFrontliner·
This person created a prompt that stops ChatGPT from hallucinating
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prinz
prinz@deredleritt3r·
As a lawyer who uses LLMs every day at work, I feel qualified to respond. First, hallucinations are no longer a problem. Consistent with the prediction you quoted from 2023, GPT-5.x almost never hallucinates. And overall, the percentage of inaccurate responses I get from GPT-5.2 Pro is lower than the percentage of inaccurate responses I would get from a competent junior associate (yes, fully accounting for hallucinations). Second, people wildly overestimate the difficulty of most tasks performed by lawyers. The vast majority of the things we do are not nearly as challenging intellectually as solving an Erdos problem. Key skills for a lawyer are attention to detail, ability to synthesize and reason through precedent, ability to construct logical arguments, writing, research. LLMs are *very* good at most of these things even today, and top-tier LLMs (GPT-5.2 Pro) are excellent at them. Put in another way, I feel that the biggest barrier to widespread adoption of AI by lawyers today is connectivity, interfaces, harnesses - *not* intelligence of the best models, and certainly not hallucinations. Unclear to what extent these issues will be resolved in the next 12-18 months, but given how economically valuable lawyers' work is, I wouldn't be surprised to see significant progress on that front. It's also worth considering that, given the general trend of rapidly falling costs of running reasoning models, it is likely that a model as intelligent as GPT-5.2 Pro, but *much* cheaper and faster, will be publicly available in the next 12-18 months. Note that the above assumes (conservatively) that the next 12-18 months in AI will be relatively boring: no continual learning, no drop-in virtual employees, not much further progress in agentic AI (Codex), no significant progress in intelligence possessed by the best models. Relaxing these assumptions would mean that we should expect even faster progress.
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Gary Marcus
Gary Marcus@GaryMarcus·
How did this work out? Are LLM hallucinations largely gone by now? So now the @FT platforms the same guy saying most the of the tasks lawyers and accountants do will be replaced in 12-18 months? From the same company that said that GPT-5 would be a giant humpback whale that would blow away PhDs? Where is the accountability? The concern about CEOs’ conflicts of interest in selling these narratives? The view from skeptics?
Mustafa Suleyman@mustafasuleyman

LLM hallucinations will be largely eliminated by 2025. that’s a huge deal. the implications are far more profound than the threat of the models getting things a bit wrong today.

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Brian Fitzgerald
Brian Fitzgerald@ExaGridDba·
@connor_mc_d Aye, sir. After a load, the optimizer pushed its internal to_number filter into the joins. One of the full table scans uncovered some non-numerics. After the PeopleSoft admin ran pscbo stats, the new plan skipped those values. Hence, "seemingly cleared".
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Connor on SQL and Database
Connor on SQL and Database@connor_mc_d·
@ExaGridDba Normally implicit datatype conversion... "Cleared of its own" often means "Got lucky and skipped the data in question" so buyer beware
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Brian Fitzgerald
Brian Fitzgerald@ExaGridDba·
ORA-01722: invalid number during query this morning. Seemingly cleared on its own.
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Brian Fitzgerald
Brian Fitzgerald@ExaGridDba·
show configuration lag 19c dgmgrl feature Report transport and apply lag of all Data Guard system members.
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Brian Fitzgerald
Brian Fitzgerald@ExaGridDba·
They say AI is getting smarter. Yes, and rapidly!
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Brian Fitzgerald
Brian Fitzgerald@ExaGridDba·
@USN_Submariner The Blue Crew's first CO was James B. Osborn, who earlier earned an M.S. in Mech E from Rensselaer Polytechnic Institute.
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🇺🇸𝗢𝗹𝗱 𝗦𝘂𝗯𝗺𝗮𝗿𝗶𝗻𝗲𝗿⚓️
Happy Birthday Boomers‼️ 63 years ago today, America's first ballistic missile submarine hit the water. USS George Washington (SSBN-598) was launched at EB in Groton on June 9, 1959 PRIMUS IN PACE ★ Performed the 1st submerged SLBM launch, 2 UGM-27 Polaris A1s on July 20, 1960
GIF
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Brian Fitzgerald retweetledi
🇺🇸𝗢𝗹𝗱 𝗦𝘂𝗯𝗺𝗮𝗿𝗶𝗻𝗲𝗿⚓️
Happy SubSunday✌️OTD in 1945, Balao-class submarine USS Pampanito (SS-383) was decommissioned after making 6 WWII war patrols. 5 decades later, she starred as USS Stingray (SS-161) in one of the greatest submarine movies of all time, Down Periscope‼️
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Brian Fitzgerald
Brian Fitzgerald@ExaGridDba·
@OpenAI GPT-5.2 inference quality in the Python API is noticeably improved.
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Brian Fitzgerald retweetledi
Sophie B. Hawkins
Sophie B. Hawkins@therealsophieb·
Scenes from our Christmas 2025 in California 🎅
Sophie B. Hawkins tweet mediaSophie B. Hawkins tweet mediaSophie B. Hawkins tweet mediaSophie B. Hawkins tweet media
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Brian Fitzgerald
Brian Fitzgerald@ExaGridDba·
Sunday mid-afternoon project. Install llama and google_gemma on my no-GPU laptop. Inference is local.
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